What we are looking for:

We are seeking a Senior Machine Learning Engineer who is eager to make a significant impact. In this role, you'll get the opportunity to leverage your technical expertise and problem-solving skills to solve some of the hardest data problems in the hobby. Your primary focus in this role will be on enhancing and optimizing our pricing engine to support strategic business goals. Our ideal candidate is passionate about trading cards, has a strong sense of ownership, and enjoys challenges. At Alt, data is core to everything we do and is a differentiator for our customers. The team’s scope covers data pipeline development, search infrastructure, web scraping, detection algorithms, internal toolings and data quality. We give our engineers a lot of individual responsibility and autonomy, so your ability to make good trade-offs and exercise good judgment is essential.

The impact you will make:

• Partner with engineers, and cross-functional stakeholders to contribute to all phases of algorithm development including: ideation, prototyping, design, and production
• Build, iterate, productionize, and own Alt's valuation models
• Leverage background in pricing strategies and models to develop innovative pricing solutions
• Design and implement scalable, reliable, and maintainable machine learning systems
• Partner with product to understand customer requirements and prioritize model features

What you bring to the table:

• Experience: 5+ years of experience in software development, with a proven track record of developing and deploying models in production. Experience with pricing models preferred.
• Technical Skills: Proficiency in programming languages and tools such as Python, AWS, Postgres, Airflow, Datadog, and JavaScript.
• Problem-Solving: A knack for solving tough problems and a drive to take ownership of your work.
• Communication: Effective communication skills with the ability to ship solutions quickly.
• Product Focus: Excellent product instincts, with a user-first approach when designing technical solutions.
• Team Player: A collaborative mindset that helps elevate the performance of those around you.
• Industry Knowledge: Knowledge of the sports/trading card industry is a plus.

What you will get from us:

• Ground floor opportunity as an early member of the Alt team; you’ll directly shape the direction of our company. The opportunities for growth are truly limitless.
• An inclusive company culture that is being built intentionally to foster an environment that supports and engages talent in their current and future endeavors.
• $100/month work-from-home stipend
• $200/month wellness stipend
• WeWork office Stipend
• 401(k) retirement benefits
• Flexible vacation policy
• Generous paid parental leave
• Competitive healthcare benefits, including HSA, for you and your dependent(s)

Alt's compensation package includes a competitive base salary benchmarked against real-time market data, as well as equity for all full-time roles. We want all full-time employees to be invested in Alt and to be able to take advantage of that investment, so our equity grants include a 10-year exercise window. The base salary range for this role is: $194,000 - $210,000. Offers may vary from the amount listed based on geography, candidate experience and expertise, and other factors.

Company Overview: 

Cohere Health is a fast-growing clinical intelligence company that’s improving lives at scale by promoting the best patient-specific care options, using leading edge AI combined with deep clinical expertise. In only four years our solutions have been adopted by health insurance plans covering over 15 million people, while our revenues and company size have quadrupled.  That growth combined with capital raises totaling $106M positions us extremely well for continued success. Our awards include: 2023 and 2024 BuiltIn Best Place to Work, Top 5 LinkedIn™ Startup, TripleTree iAward, multiple KLAS Research Points of Light, along with recognition on Fierce Healthcare's Fierce 15 and CB Insights' Digital Health 150 lists.

Opportunity Overview: 

You will be a key leader in designing and implementing our data architecture, which is central to our value proposition and crucial to our company's success. As a Data Architect at Cohere, you will work with a high degree of autonomy to design and optimize data warehouses, ensure data governance, and enable data-driven decision-making across the business. You will partner closely with data, product, and engineering teams to solve complex problems and deliver scalable solutions.

Last but not least, People who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring a supportive, growth-oriented environment for everyone.

What you will do:

• Lead the design, implementation, and optimization of our data warehouse and governance policies to ensure scalability and compliance with healthcare regulations.
• Work closely with stakeholders to understand data requirements and deliver actionable insights that can be efficiently productized.
• Design, develop, operationalize, and maintain the data models, both logic, physical and conceptual to support various business use cases.
• Collaborate with cross-functional teams to define data architecture standards and best practices.
• Ensure data quality, integrity, and security across all data sources and systems.
• Provide technical leadership and mentorship to data engineering and management teams.
• Create and manage data governance frameworks, including data catalogs, lineage, and metadata management.
• Stay current with emerging data technologies and evaluate their potential impact on our architecture.

Your background & requirements:

• 4+ years of experience leading data architecture initiatives in a fast-paced, agile environment.
• Bachelor's or Master's degree in Computer Science, Data Science, or a related field with at least 12 years of relevant experience.
• Proven track record of designing and implementing scalable data warehouses and governance policies.
• Expertise in SQL and proficiency in data modeling and design. Experience having integrated NoSQL systems as part of a broader data architecture.
• Hands-on experience with ETL processes, data integration, and data quality frameworks.
• Experience with data governance tools and practices.
• Experience building data platforms using python, AWS, Airflow, dbt, and data warehouses.
• Familiarity with healthcare data standards such as HL7, FHIR, and CCDA.
• Strong understanding of data privacy and security regulations, including HIPAA.
• Experience with business intelligence tools like Tableau or PowerBI.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills. 

Equal Opportunity Statement: 

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. To us, it’s personal.

We can’t wait to learn more about you and meet you at Cohere Health!

The salary range for this position is $160,000 to $185,000 annually; as part of a total benefits package which includes health insurance, 401k and bonus. In accordance with state applicable laws, Cohere is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including but not limited to qualifications for the role, experience level, skillset, and internal alignment.

#LI-Remote

#BI-Remote

We're looking for a savvy and experienced Senior Data Engineer to join the Data Platform Engineering team at Hims. As a Senior Data Engineer, you will work with the analytics engineers, product managers, engineers, security, DevOps, analytics, and machine learning teams to build a data platform that backs the self-service analytics, machine learning models, and data products serving Million+ Hims & Hers subscribers.

You Will:

• Architect and develop data pipelines to optimize performance, quality, and scalability.
• Build, maintain & operate scalable, performant, and containerized infrastructure required for optimal extraction, transformation, and loading of data from various data sources.
• Design, develop, and own robust, scalable data processing and data integration pipelines using Python, dbt, Kafka, Airflow, PySpark, SparkSQL, and REST API endpoints to ingest data from various external data sources to Data Lake.
• Develop testing frameworks and monitoring to improve data quality, observability, pipeline reliability, and performance 
• Orchestrate sophisticated data flow patterns across a variety of disparate tooling.
• Support analytics engineers, data analysts, and business partners in building tools and data marts that enable self-service analytics.
• Partner with the rest of the Data Platform team to set best practices and ensure the execution of them.
• Partner with the analytics engineers to ensure the performance and reliability of our data sources.
• Partner with machine learning engineers to deploy predictive models.
• Partner with the legal and security teams to build frameworks and implement data compliance and security policies.
• Partner with DevOps to build IaC and CI/CD pipelines.
• Support code versioning and code deployments for data Pipelines.

You Have:

• 8+ years of professional experience designing, creating and maintaining scalable data pipelines using Python, API calls, SQL, and scripting languages.
• Demonstrated experience writing clean, efficient & well-documented Python code and are willing to become effective in other languages as needed.
• Demonstrated experience writing complex, highly optimized SQL queries across large data sets.
• Experience working with customer behavior data. 
• Experience with Javascript, event tracking tools like GTM, tools like Google Analytics, Amplitude and CRM tools. 
• Experience with cloud technologies such as AWS and/or Google Cloud Platform.
• Experience with serverless architecture (Google Cloud Functions, AWS Lambda).
• Experience with IaC technologies like Terraform.
• Experience with data warehouses like BigQuery, Databricks, Snowflake, and Postgres.
• Experience building event streaming pipelines using Kafka/Confluent Kafka.
• Experience with modern data stack like Airflow/Astronomer, Fivetran, Tableau/Looker.
• Experience with containers and container orchestration tools such as Docker or Kubernetes.
• Experience with Machine Learning & MLOps.
• Experience with CI/CD (Jenkins, GitHub Actions, Circle CI).
• Thorough understanding of SDLC and Agile frameworks.
• Project management skills and a demonstrated ability to work autonomously.

Nice to Have:

• Experience building data models using dbt
• Experience designing and developing systems with desired SLAs and data quality metrics.
• Experience with microservice architecture.
• Experience architecting an enterprise-grade data platform.

We're looking for a savvy and experienced Senior Data Engineer to join the Data Platform Engineering team at Hims. As a Senior Data Engineer, you will work with the analytics engineers, product managers, engineers, security, DevOps, analytics, and machine learning teams to build a data platform that backs the self-service analytics, machine learning models, and data products serving over a million Hims & Hers users.

You Will:

• Architect and develop data pipelines to optimize performance, quality, and scalability
• Build, maintain & operate scalable, performant, and containerized infrastructure required for optimal extraction, transformation, and loading of data from various data sources
• Design, develop, and own robust, scalable data processing and data integration pipelines using Python, dbt, Kafka, Airflow, PySpark, SparkSQL, and REST API endpoints to ingest data from various external data sources to Data Lake
• Develop testing frameworks and monitoring to improve data quality, observability, pipeline reliability, and performance
• Orchestrate sophisticated data flow patterns across a variety of disparate tooling
• Support analytics engineers, data analysts, and business partners in building tools and data marts that enable self-service analytics
• Partner with the rest of the Data Platform team to set best practices and ensure the execution of them
• Partner with the analytics engineers to ensure the performance and reliability of our data sources
• Partner with machine learning engineers to deploy predictive models
• Partner with the legal and security teams to build frameworks and implement data compliance and security policies
• Partner with DevOps to build IaC and CI/CD pipelines
• Support code versioning and code deployments for data Pipelines

You Have:

• 8+ years of professional experience designing, creating and maintaining scalable data pipelines using Python, API calls, SQL, and scripting languages
• Demonstrated experience writing clean, efficient & well-documented Python code and are willing to become effective in other languages as needed
• Demonstrated experience writing complex, highly optimized SQL queries across large data sets
• Experience with cloud technologies such as AWS and/or Google Cloud Platform
• Experience building event streaming pipelines using Kafka/Confluent Kafka
• Experience with IaC technologies like Terraform
• Experience with data warehouses like BigQuery, Databricks, Snowflake, and Postgres
• Experience with Databricks platform
• Experience with modern data stack like Airflow/Astronomer, Databricks, dbt, Fivetran, Confluent, Tableau/Looker
• Experience with containers and container orchestration tools such as Docker or Kubernetes
• Experience with Machine Learning & MLOps
• Experience with CI/CD (Jenkins, GitHub Actions, Circle CI)
• Thorough understanding of SDLC and Agile frameworks
• Project management skills and a demonstrated ability to work autonomously

Nice to Have:

• Experience building data models using dbt
• Experience with Javascript and event tracking tools like GTM
• Experience designing and developing systems with desired SLAs and data quality metrics
• Experience with microservice architecture
• Experience architecting an enterprise-grade data platform

Your impact

Handshake is actively seeking an Senior Data Scientist - Product Analytics specializing in Product, Growth, and/or Revenue analytics to support our Research and Development team, spearheading the measurement and analysis of product success. This pivotal role will play a crucial part in shaping Handshake’s overarching strategy and product roadmap. This position requires a strong blend of technical expertise, strategic thinking, and communication skills to guide our products' evolution and deliver maximum value to our three-sided marketplace, consisting of students, employers, and universities. This role reports to the Analytics Manager, embedded within the broader Data team, and you will work alongside a talented team of data scientists and analytics engineers. 

Your role

• Work side-by-side and partner strategically with a Research and Development Leadership, becoming a subject-matter expert in a given domain

• Contribute to a data-driven product strategy and own the corresponding analytics prioritization and roadmapping to execute on and measure the effectiveness of this strategy

• Own domain goal-setting, tracking, and reporting on progress and impact

• Lead experimentation within a given vertical, working to ensure that tracking is instrumented proactively and scaling our ability to efficiently and reliably run experiments

• Collaborate with Analytics Engineering and Relevance teams to define metrics and build out foundational data models

• Contribute to the vision and strategy for product analytics and the wider data organization at Handshake

• Lead by example to build a culture of accountability and rigor to substantiate proven business impact

• Advocate for the millions of students and employer users on Handshake by communicating data insights and recommendations to marketing, product and leadership teams

Your experience

• Proven experience in using data to drive product development and decision-making and direct experience working with engineers and wider product teams

• Strong communication and presentation skills, including the ability to translate data-related concepts and results for leadership and less technical stakeholders

• Experience conducting exploratory analysis projects related to cohorting, time series analysis, and funnel analysis/optimization. Beyond just reporting metrics, we value the ability to dig in an explain the “why” behind trends

• A clear understanding and demonstrable experience in experimentation design and process development, including comfort with A/B testing

• Expertise in SQL is essential. Expertise with Jupyter-style notebooks and Python statistics packages is a huge plus.

• Experience creating dashboards and visualizations in tools such as Hex, Looker, Mode, etc.

• Ability to start, own, and drive projects to completion with minimal guidance

Bonus areas of expertise

• Data modeling (we use dbt!)

• Some familiarity with LookML

Our Analytics Stack 

• Fivetran, Segment, Bigquery, dbt, Airflow, Looker, Hex

Compensation range

• $180,000-$200,000

Overview

About the Role 

At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.

Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.

As a Senior Software Engineer, you will play a pivotal role in transforming the grocery industry by enhancing our platform's search visibility, improving our outreach, and ensuring that millions of people can access the food they love effortlessly. This position involves tackling complex problems with innovative solutions that enhance user experience and drive significant business results. Your work will directly influence the efficiency and effectiveness of our shopping platform, making everyday essentials accessible to a broader audience.

About the Team 

As part of the small but mighty Marketing Technology team, within our broader marketing organization, SEO at Instacart plays a crucial role.SEO at Instacart is a dynamic team, with a huge impact on our business. We operate with a "Flex First" approach. This means you'll have the flexibility to work from your preferred environment, with regular opportunities to connect in person. Our team is pivotal in driving traffic and user engagement through strategic initiatives across millions of web pages, influencing customer journeys at every stage. By collaborating with various internal teams and adapting to evolving business needs, you will contribute to a crucial aspect of our overarching business strategy and have the opportunity to work across many areas of our product in a manner that directly impacts customer experience. 

About the Job 

In your role as Senior Software Engineer, you will:

• Design and develop: Build high-quality product features focused on enhancing search engine optimization and the user experience.
• Collaborate effectively: Work closely with product managers, designers, and data scientists to define and execute project requirements.
• Optimize and scale: Ensure system designs are scalable and robust to support our growing user base and data needs.
• Innovate and improve: Regularly propose and lead new initiatives that enhance both organizational efficiency and product excellence.
• Data handling: Develop efficient data pipelines and data models to ensure the collection and delivery of quality data.

About You

Minimum Qualifications

• Bachelor's or Master’s degree in Computer Science, Computer Engineering, or a related field.
• 5+ years of relevant technology experience, particularly in distributed systems.
• Demonstrable skill and experience with Python, Ruby, React, PostgreSQL, or Go.
• Proven ability to manage projects end-to-end with significant autonomy.
• Strong collaborator with a growth mindset, open to feedback and learning.
• Experience working in large-scale marketplaces, e-commerce, or companies with high-traffic apps.

Preferred Qualifications

• Experience in the startup environment, particularly in fast-paced settings.
• Advanced knowledge in data engineering, including data pipelines and NoSQL databases.
• Familiarity with big data technologies such as Apache Spark, Airflow, and Hadoop.
• Prior experience working closely with marketing teams and direct involvement in SEO.

Blockchain.com is the world's leading software platform for digital assets. Offering the largest production blockchain platform in the world, we share the passion to code, create, and ultimately build an open, accessible and fair financial future, one piece of software.

We are looking for a talented Senior or Staff Data Engineerto join our FinPlatform team and work from our office in London. The group is part of a larger Data Science team, informing all product decisions and creating models and infrastructure to improve efficiency, growth, and security. To do this, we use data from various sources and of varying quality. Our automated ETL processes serve both the broader company (in the form of clean, simplified tables of aggregated statistics and dashboards) and the Data Science team itself (cleaning and processing data for analysis and modeling purposes, ensuring reproducibility).

We are looking for someone with experience in designing, building, and maintaining a scalable and robust Data Infra that makes data easily accessible to the Data Science team and the broader audience via different tools. As a data engineer, you will be involved in all aspects of the data infrastructure, from understanding current bottlenecks and requirements to ensuring the quality and availability of data. You will collaborate closely with data scientists, platform, and front-end engineers, defining requirements and designing new data processes for both streaming and batch processing of data, as well as maintaining and improving existing ones. We are looking for someone passionate about high-quality data who understands their impact in solving real-life problems. Being proactive in identifying issues, digging deep into their source, and developing solutions, are at the heart of this role.

SENIOR

What You Will Need

• Bachelor’s degree in Computer Science, Applied Mathematics, Engineering or any other technology-related field
• Previous experience working in a data engineering role
• Fluency in Python
• Experience in both batch processing and streaming data pipelines
• Experience working with Google Cloud Platform
• In-depth knowledge of SQL and no-SQL databases
• In-depth knowledge of coding principles, including Oriented Object Programming
• Experience with Git

Nice to have

• Experience with code optimisation, parallel processing
• Experience with Airflow, Google Composer or Kubernetes Engine
• Experiences with other programming languages, like Java, Kotlin or Scala
• Experience with Spark or other Big Data frameworks
• Experience with distributed and real-time technologies (Kafka, etc..)
• 5-8 years commercial experience in a related role
  
  

STAFF

What You Will Do

• Maintain and evolve the current data infrastructure and look to evolve it for new requirements
• Maintain and extend our core data infrastructure and existing data pipelines and ETLs
• Provide best practices and frameworks for data testing and validation and ensure reliability and accuracy of data
• Design, develop and implement data visualization and analytics tools and data products.
• Play a critical role in helping to set up directions and goals for the team
• Build and ship high-quality code, provide thorough code reviews, testing, monitoring and proactive changes to improve stability
• You are the one who implements the hardest part of the system or feature.

What You Will Need

• Bachelor’s degree in Computer Science, Applied Mathematics, Engineering or any other technology-related field
• Previous experience working in a data engineering role
• Fluency in Python
• Experience in both batch processing and streaming data pipelines
• Experience working with Google Cloud Platform
• In-depth knowledge of SQL and no-SQL databases
• In-depth knowledge of coding principles, including Oriented Object Programming
• Experience with Git
• Ability to solve technical problems that few others can do
• Ability to lead/coordinate rollout and releases of major initiatives

Nice to have

• Experience with code optimisation, parallel processing
• Experience with Airflow, Google Composer or Kubernetes Engine
• Experiences with other programming languages, like Java, Kotlin or Scala
• Experience with Spark or other Big Data frameworks
• Experience with distributed and real-time technologies (Kafka, etc..)
• 8+ years commercial experience in a related role
  
  

Join our Artificial Intelligence team as a Software Engineer and help us revolutionize marketing with ML-powered solutions! You'll work on cutting-edge technologies, impacting millions of users, and contributing to a product that truly makes a difference. The salary range starts at 3500€ per month,along with restricted stock unites and other benefits. Working in one of our Central European offices or from home on a full-time basis, you'll become a core part of the Engineering Team.

What challenge awaits you?

You'll face the exciting challenge of building and maintaining ML-powered features in a production environment, ensuring they are reliable, scalable, and deliver real value to our users. You'll work alongside a team to overcome the unique challenges of building and running ML models in a SaaS environment, including managing data complexity, optimizing for performance, and ensuring model robustness.

You will cooperate with your teammates, Data Science engineers, and Engineering and Product leaders to speed up ML-powered features' delivery (from ideation to production) by applying principles of continuous discovery, integration, testing, and other techniques from Agile, DevOps, and MLOps mindsets. This will involve building efficient workflows, automating processes, and fostering a culture of collaboration and innovation.

Your job will be to:

1. Design & Deliver new features
2. Ensure quality and performance of developed solution
3. Support and Maintain owned components

a. Design & Deliver new features

• Translate business requirements for ML-powered features into technical specifications and design documents.
• Collaborate with data scientists to ensure new ML features' technical feasibility and scalability.
• Define and develop back-office API endpoints (to configure the features) as well the high-performance serving endpoints.
• Develop and implement ML models, algorithms, and data pipelines to support new features.
• Deploy and monitor new features in production, ensuring seamless integration with existing systems.

b. Ensure quality and performance of developed solution

• Perform rigorous testing and quality assurance of ML models and code, including unit tests, integration tests, and A/B testing.
• Implement monitoring systems and dashboards to track the performance of ML models in production, identify potential issues, and optimize for accuracy and efficiency.
• Contribute to developing and implementing DevOps and MLOps best practices within the team.

c. Support and Maintain owned components

• Maintain end-to-end features, encompassing back-office APIs, models, definitions, and high-performance serving APIs.
• Provide ongoing support and maintenance for existing ML-powered features, including troubleshooting issues, fixing bugs, and implementing enhancements.
• Support our client-facing colleagues in the investigation of possible issues (L3 support).
• Document code, design decisions, and operational procedures to facilitate ongoing maintenance and knowledge sharing.

What technologies and tools does the AI team work with?

• Programming languages - Python 
• Google Cloud Platform services - GKE, BigQuery, BigTable, GCS, Dataproc, VertexAI 
• Data Storage and Processing - MongoDB, Redis, Spark, TensorFlow 
• Software and Tools - Grafana, Sentry, Gitlab, Jira, Productboard, PagerDuty 

The owned area encompasses various domains such as Recommendations, Predictions, Contextual bandits, MLOps. Therefore, having experience in these areas would be beneficial. The team also works with large amounts of data and utilizes platforms and algorithms for model training and data processing & ML pipelines. Experience in these areas is highly valued.

Your success story will be:

• In 30 Days: Successfully onboard and contribute to ongoing tasks, demonstrating understanding of the codebase and team processes.
• In 90 Days: Contribute to design discussions and independently deliver high-quality code for assigned features. Participate in investigating and resolving production issues.
• In 180 Days: Independently manage larger tasks, contribute to team improvements, and confidently handle L3 support, investigating and resolving production issues.

You have the following experience and qualities:

1. Professional— Proven experience in python engineering, system design, and maintenance in the area of AI/ML-powered features.
2. Personal — Demonstrates strong initiative, ability to work within a team, communication skills, and a commitment to continuous learning and improvement.

Professional experience

• Proven experience in Python engineering, with a strong focus on designing and maintaining AI/ML-powered features in production environments.
• Experience with cloud platforms (e.g., GCP, AWS) and relevant services for ML development and deployment.
• Solid understanding of software architecture principles, particularly in the context of building and maintaining scalable and reliable APIs and microservices.
• Experience with version control systems (e.g., Git) and CI/CD pipelines for efficient development and deployment.
• Familiarity with common ML frameworks, libraries, and tools (e.g., TensorFlow, PyTorch, Scikit-learn, etc.) and with ML pipelines/orchestration frameworks (Kubeflow, Airflow, Prefect,... )

Personal qualities

• Demonstrates strong initiative and a proactive approach to problem-solving.
• Excellent communication and collaboration skills, with the ability to work effectively within a team.
• A genuine passion for learning new technologies and keeping up-to-date with the latest advancements in AI/ML.
• A commitment to delivering high-quality work and a dedication to continuous improvement.

Excited? Join us and transform the future of commerce experiences.

Who Are You

We seek a highly skilled and experienced Cloud Platform Architect to join our dynamic and growing Cloud Platform team. As a Cloud Platform Architect, you will play a crucial role in strengthening and expanding the core of our cloud infrastructure. We want you to lead the way in scaling our cloud infrastructure for our customers, engineers, and data science teams. You will work alongside talented cloud platform and software engineers and architects to envision how all cloud infrastructure will evolve to support the expansion of Signifyd’s core products. The ideal candidate must: 

• Effectively communicate complex problems by tailoring the message to the audience and presenting it clearly and concisely. 
• Balance multiple perspectives, disagree, and commit when necessary to move key company decisions and critical priorities forward.
• Understand the inner workings of Cloud Service Providers (CSPs) such as AWS, GCP, and Azure. Able to understand networking and security concepts core and most relevant within the space.
• Ability to work independently in a dynamic environment and proactively approach problem-solving.
• Be committed to achieving positive business outcomes via automation and enablement efforts, reducing costs, and improving operational excellence.
• Be an example for fellow engineers by showcasing customer empathy, creativity, curiosity, and tenacity.
• Have strong analytical and problem-solving skills, with the ability to innovate and adapt to fast-paced environments.
• Design and build clear, understandable, simple, clean, and scalable solutions.
• Champion an Agile and ‘DevOps’ mindset across the organization.

What You'll Do

• Modernize Signifyd’s Cloud Platform to scale for security, cost, operational excellence, reliability, and performance, working closely with Engineering and Data Science teams across Signifyd’s R&D group.
• Create and deliver a technology roadmap focused on advancing our cloud performance capabilities, supporting our real-time fraud protection and prevention via our core products.
• Work alongside Architects, Software Engineers, ML Engineers, and Data Scientists to develop innovative big data processing solutions for scaling our core product for eCommerce fraud prevention.
• Take full ownership of our Cloud Platform evolution to support low-latency, high-quality, high-scale decisioning for Signifyd’s flagship product.

• Architect, deploy, and optimize Cloud Solutions to evolve our technology stack, including Multi-Account strategy, best practices around data access, IAM and security rules, and the best approaches for optimized and secure access to our infrastructure.
• Implement Engineering Enablement automation and best-of-breed solutions for Developer Tooling to support Elite DORA metrics measurements and optimal Engineering Experience.
• Mentor and coach fellow engineers on the team, fostering an environment of growth and continuous improvement.
• Identify and address gaps in team capabilities and processes to enhance team efficiency and success.

What You'll Need

• Ideally has 10-15+ years in cloud infrastructure engineering and automation, including at least five years of experience as a cloud engineering architect or lead. Have successfully navigated the challenges of working with large-scale cloud environments encompassing millions of dollars of computing costs and many petabytes of data storage and process.
• Deep understanding of best practices and current trends in cloud providers, are comfortable working with multi-terabyte datasets, and skilled in high-scale data ingestion, transformation, and distributed processing; experience in understanding Apache Spark or Databricks is a plus.
• Deep understanding of Container-based systems such as Kubernetes (k8s), Docker, ECS, EKS, GKE, and others.
• Deep understanding of Networking concepts such as DNS / Route53, ELB/ALB, Networking load balancing, IAM rules, VPC peering and data connectivity, NAT gateways, Network bridge technology such as Megaport, and others.
• Experience converting existing Cloud infrastructure to serverless architecture patterns (AWS Lambda, Kinesis, Aurora, etc.), deploying via Terraform, Pulumi, or AWS Cloud Formation / CDK.
• Hands-on expertise in data technologies with proficiency in technologies such as Spark, Airflow, Databricks, AWS services (SQS, Kinesis, etc.), and Kafka. Understand the trade-offs of various architectural approaches and recommend solutions suited to our needs.
• Executed the planning of product and infrastructure software releases
• Experience in developing, deploying, and managing CI/CD developer tooling like AWS Code Commit, Code Build, Code Deploy, Code Pipeline, JetBrains TeamCity, and GitHub Enterprise.
• Understanding how to appropriately deploy, integrate, and maintain Developer build and scanning tools such as Develocity Gradle Enterprise, Sonarqube, Maven, Snyk, CyCode, and others.
• Deep knowledge of best practices around Logging, Monitoring, and Observability tools such as AWS Cloudwatch, Datadog, Loggly, and others.
• Demonstrable ability to lead and mentor engineers, fostering their growth and development. 
• You have successfully partnered with Product and Engineering teams to lead through strategic initiatives.
• Commitment to quality: you take pride in delivering work that excels in accuracy, performance, and reliability, setting a high standard for the team and the organization.

#LI-Remote

Benefits in our US offices:

• Discretionary Time Off Policy (Unlimited!)
• 401K Match
• Stock Options
• Annual Performance Bonus or Commissions
• Paid Parental Leave (12 weeks)
• On-Demand Therapy for all employees & their dependents
• Dedicated learning budget through Learnerbly
• Health Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Account (FSA)
• Short Term and Long Term Disability Insurance
• Life Insurance
• Company Social Events
• Signifyd Swag

We want to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.

ABOUT KHAN ACADEMY

Khan Academy is a nonprofit with the mission to deliver a free, world-class education to anyone, anywhere. Our proven learning platform offers free, high-quality supplemental learning content and practice that cover Pre-K - 12th grade and early college core academic subjects, focusing on math and science. We have over 155 million registered learners globally and are committed to improving learning outcomes for students worldwide, focusing on learners in historically under-resourced communities.

OUR COMMUNITY 

Our students, teachers, and parents come from all walks of life, and so do we. Our team includes people from academia, traditional/non-traditional education, big tech companies, and tiny startups. We hire great people from diverse backgrounds and experiences because it makes our company stronger. We value diversity, equity, inclusion, and belonging as necessary to achieve our mission and impact the communities we serve. We know that transforming education starts in-house with learning about ourselves and our colleagues. We strive to be world-class in investing in our people and commit to developing you as a professional.

THE ROLE

We have some of the richest educational data in the world, and we want to leverage that data to develop a clearer picture of who our users are, how they are using the site, and how we could better serve them on their educational journey. Your work will enable answering critical and meaningful questions like "how do students learn most effectively?" and "how can we improve our content and product?"

The ideal candidate will have a strong background in software development and DevOps, with a focus on data engineering. You will be responsible for designing, developing, and maintaining scalable systems and applications. 

What you’ll work on:

• Design and manage data pipelines and workflows using SQL, BigQuery, Airflow, and DBT.
• Develop and maintain data visualization and analytical tools using Streamlit.
• Design, develop, and maintain data infrastructure software using Python and Go (familiarity with  GraphQL a plus)
• Implement and manage DevOps processes for Data Engineering tools
• Use Docker and Kubernetes to build and deploy containerized applications.
• Utilize Terraform for infrastructure as code to manage and provision cloud resources.

You can read about our latest work on our Engineering Blog. A few highlights:

• Incremental Rewrites with GraphQL
• Our Transition to React Native
• Go + Services = One Goliath Project
• How Engineering Principles Can Help You Scale
• How to upgrade hundreds of React components without breaking production

WHAT YOU BRING

• 4+ years experience in a software engineer role with a focus on tool design, creation, and maintenance for infrastructure or data engineering
• Strong collaborative development experience including PR reviews and documentation writing
• Proficient in SQL
• Proficiency in writing and maintaining data pipelines and data quality monitors in a workflow management tool for productionized solutions, with source control and code review.
• Proficiency in computer science and software engineering fundamentals, including the ability to program in Python and/or Go.
• Proficient in Docker and Kubernetes.
• Experience with Terraform.
• Experience with BigQuery and data pipeline tools such as Airflow, & DBT would be a big plus as would familiarity with Streamlit for data visualization.

Note: We welcome candidates with experience in any and all technologies. We don’t require experience in any particular language or tool. Our commitment to on-boarding and mentorship means you won’t be left in the dark as you learn new technologies.

PERKS AND BENEFITS

We may be a non-profit, but we reward our talented team extremely well! We offer:

• Competitive salaries
• Ample paid time off as needed – Your well-being is a priority.
• Remote-first culture - that caters to your time zone, with open flexibility as needed, at times
• Generous parental leave
• An exceptional team that trusts you and gives you the freedom to do your best
• The chance to put your talents towards a deeply meaningful mission and the opportunity to work on high-impact products that are already defining the future of education
• Opportunities to connect through affinity, ally, and social groups
• And we offer all those other typical benefits as well: 401(k) + 4% matching & comprehensive insurance, including medical, dental, vision, and life

At Khan Academy we are committed to fair and equitable compensation practices, the well-being of our employees, and our Khan community. This belief is why we have built out a robust Total Rewards package that includes competitive base salaries, and extensive benefits and perks to support physical, mental, and financial well-being.

The target salary range for this position(LEC IC 1.5) is $165,500 - $201,250 USD / 206,875 - 251,562 CAD. The pay range for this position is a general guideline only. The salary offered will depend on internal pay equity and the candidate’s relevant skills, experience, qualifications, and job market data. Exceptional performers in this role who make an outsized contribution can make well in excess of this range.  Additional incentives are provided as part of the complete total rewards package in addition to comprehensive medical and other benefits.

MORE ABOUT US

• Sal’s TED talk from 2011
• Sal’s TED talk from 2015
• Sal's TED talk from 2023
• Our team:  http://www.khanacademy.org/about/the-team

OUR COMPANY VALUES

Live & breathe learners

We deeply understand and empathize with our users. We leverage user insights, research, and experience to build content, products, services, and experiences that our users trust and love. Our success is defined by the success of our learners and educators.

Take a stand

As a company, we have conviction in our aspirational point of view of how education will evolve. The work we do is in service to moving towards that point of view. However, we also listen, learn and flex in the face of new data, and commit to evolving this point of view as the industry and our users evolve.

Embrace diverse perspectives

We are a diverse community. We seek out and embrace a diversity of voices, perspectives and life experiences leading to stronger, more inclusive teams and better outcomes. As individuals, we are committed to bringing up tough topics and leaning into different points of view with curiosity. We actively listen, learn and collaborate to gain a shared understanding. When a decision is made, we commit to moving forward as a united team.

Work responsibly and sustainably

We understand that achieving our audacious mission is a marathon, so we set realistic timelines and we focus on delivery that also links to the bigger picture. As a non-profit, we are supported by the generosity of donors as well as strategic partners, and understand our responsibility to our finite resources. We spend every dollar as though it were our own. We are responsible for the impact we have on the world and to each other. We ensure our team and company stay healthy and financially sustainable.

Bring out the joy

We are committed to making learning a joyful process. This informs what we build for our users and the culture we co-create with our teammates, partners and donors.

Cultivate learning mindset

We believe in the power of growth for learners and for ourselves. We constantly learn and teach to improve our offerings, ourselves, and our organization. We learn from our mistakes and aren’t afraid to fail. We don't let past failures or successes stop us from taking future bold action and achieving our goals.

Deliver wow

We insist on high standards and deliver delightful, effective end-to-end experiences that our users can rely on. We choose to focus on fewer things — each of which aligns to our ambitious vision — so we can deliver high-quality experiences that accelerate positive measurable learning with our strategic partners.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, gender, gender identity or expression, national origin, sexual orientation, age, citizenship, marital status, disability, or Veteran status. We value diversity, equity, and inclusion, and we encourage candidates from historically underrepresented groups to apply.

Let’s face it, a company whose mission is human transformation better have some fresh thinking about the employer/employee relationship.

We do. We can’t cram it all in here, but you’ll start noticing it from the first interview.

Even our candidate experience is different. And when you get an offer from us (and accept it), you get way more than a paycheck. You get a personal BetterUp Coach, a development plan, a trained and coached manager, the most amazing team you’ve ever met (yes, each with their own personal BetterUp Coach), and most importantly, work that matters.

This makes for a remarkably focused and fulfilling work experience. Frankly, it’s not for everyone. But for people with fire in their belly, it’s a game-changing, career-defining, soul-lifting move.

Join us and we promise you the most intense and fulfilling years of your career, doing life-changing work in a fun, inventive, soulful culture.

If that sounds exciting—and the job description below feels like a fit—we really should start talking. 

As a Staff engineer here at BetterUp you will have the opportunity to leverage your expertise, passion, and drive to make the world better by crafting iconic, groundbreaking solutions via your deep ability to architect and deliver robust, scalable, foundational systems. You will help lead our technical strategy, mentor engineers, and drive innovation at the intersection of platform technology, data, and AI. 

You will collaborate across functions to drive our mission to transform lives worldwide. You’ll also help us chart a course to elevate our platform, ensuring it is robust, flexible, and composable - you will help us create the bedrock necessary to unlock new possibilities for users across the globe. Your core mission will be to lead the way in building our infrastructure for innovation. You will lead by example, driving significant advancements while growing personally and professionally. Using tried and true technologies like Ruby on Rails running in AWS paired with the latest in data and GenAI technologies your team and platforms will be pivotal in positively impacting millions of people via our Human Transformation Platform. 

Your leadership will extend to mentoring engineers and spearheading cross-functional collaborations that nurture a culture of innovation and continuous learning. You'll tackle exciting projects and complex problems, pushing the boundaries of technology to support personal and professional growth. 

Your career at BetterUp will accelerate by delivering innovative projects, extensive leadership opportunities, and the profound impact of your work on global well-being. You'll have the freedom to innovate and the opportunity to grow, all while contributing significantly to our mission and having fun along the way. 

This role won’t be easy, our course is steep, and the road ahead will be tough, so we are looking for someone who is comfortable in the rapidly changing world of hyper growth startups, who has the experience and wisdom to help us mature into a high growth, iconic world impacting organization. 

At BetterUp we delight in supporting and pushing each other to bring out the best in our colleagues, and would love someone to join the team who shares our passion for customer empathy, engineering excellence, and continuous improvement. We also deeply understand that a key to peak performance is balance, and our culture is focused on providing the support our people need to be able to bring their whole selves to bear in service of our mission. We recognize that transforming lives starts with your own, and our organization is at the forefront of human transformation, and we aim to start with our team first, so we also give you and a friend a coach to help you grow and thrive. We have all the usual benefits (see details below), plus we also close the company for two full weeks a year to rest and recharge, and we have a thriving remote first culture. 

What you'll do:

• Spearhead delivery of scalable, robust systems for BetterUp's platform, ensuring they are flexible and adaptable for future growth.
• Align technical efforts with business goals, innovating solutions that enhance user experience and operational efficiency.
• Elevate our team through continuous learning, fostering an environment of engineering excellence, creating leverage via your experience, brilliance and leadership. 
• Ensure technical solutions are cohesive and support company-wide objectives.
• Apply deep product development expertise and a strong sense of customer empathy to guide the creation of user-centered solutions, ensuring the delivery of high-impact capabilities that drive value for members and our customers. 

Attributes we look for: 

• Bachelor's or Master's in Computer Science/Engineering or equivalent experience - you are relentlessly curious and an expert in multiple tried and true tech stacks, plus you are comfortable jumping into new areas and thrive on learning. 
• Deep experience in startups with demonstrated success building scalable system architectures, especially for multi-sided marketplace platforms like BetterUp's Human Transformation Platform.
• Exceptional problem-solving skills, with a strategic mindset able to navigate complex technical challenges, ensuring robust, flexible solutions that align with BetterUp’s long-term vision.
• Extensive full-stack/data engineering experience, across industries, and domains. 
• Expertise in building enterprise applications using tech like Ruby on Rails, Ember.js, AWS, etc plus the ability to leverage and reason about modern data technologies (DBT, Airflow, Snowflake) to drive data-driven, data powered systems.
• Agile and Lean startup veteran who is able to deliver incredible customer-centric product innovations, by their direct engineering ability, but also by shaping and guiding product roadmaps in the face of ambiguity, volatility, and risk. 
• Strong communicators who possess a passion for BetterUp’s mission, and have a demonstrated ability to mentor and lead with empathy, passion, and wisdom. 

What will make you successful in your time at BetterUp: 

• You have radical curiosity and you love to learn new things
• You seek feedback and turn it into action
• You can work autonomously while being great at collaboration
• You mentor and empower others around you

Benefits:

At BetterUp, we are committed to living out our mission every day and that starts with providing benefits that allow our employees to care for themselves, support their families, and give back to their community. 

• Access to BetterUp coaching; one for you and one for a friend or family member 
• A competitive compensation plan with opportunity for advancement
• Medical, dental and vision insurance
• Flexible paid time off
• Per year: 
• All federal/statutory holidays observed
• 4 BetterUp Inner Work days (https://www.betterup.co/inner-work)
• 5 Volunteer Days to give back
• Learning and Development stipend
• Company wide Summer & Winter breaks 
• Year-round charitable contribution of your choice on behalf of BetterUp
• 401(k) self contribution

We are dedicated to building diverse teams that fuel an authentic workplace and sense of belonging for each and every employee. We know applying for a job can be intimidating, please don’t hesitate to reach out — we encourage everyone interested in joining us to apply.

BetterUp Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, disability, genetics, gender, sexual orientation, age, marital status, veteran status. In addition to federal law requirements, BetterUp Inc. complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

At BetterUp, we compensate our employees fairly for their work. Base salary is determined by job-related experience, education/training, residence location, as well as market indicators. The range below is representative of base salary only and does not include equity, sales bonus plans (when applicable) and benefits. This range may be modified in the future.

The base salary range for this role is $147,000 – 245,000$.

Protecting your privacy and treating your personal information with care is very important to us, and central to the entire BetterUp family. By submitting your application, you acknowledge that your personal information will be processed in accordance with ourApplicant Privacy Notice. If you have any questions about the privacy of your personal information or your rights with regards to your personal information, please reach out tosupport@betterup.co

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