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Job Description

Project – the aim you’ll have:

The project focuses on improving and standardizing the CI/CD infrastructure to support the efficient release of software for over 400 microservices. It involves managing a self-hosted Jenkins system, JFrog Artifactory for artifact storage, and GitHub for source code management, all running in AWS. The goal is to automate code quality checks, reduce maintenance efforts, and streamline the deployment process. The team follows DevOps, agile, and lean methodologies, developing the platform as a product with a strong focus on user-centric solutions and collaboration.

Position – how you’ll contribute:

The Platform Engineer role focuses on enhancing CI/CD (Continuous Integration/Continuous Deployment) systems to enable frequent and seamless software releases. The engineer will build and maintain automation tools for code quality monitoring, including automated testing and static analysis, reducing the maintenance effort of the CI/CD infrastructure. They will collaborate across teams to promote a standardized release process for over 400 microservices. The position involves managing a self-hosted Jenkins setup, artifact storage via JFrog Artifactory, and GitHub for source code management, all running within AWS. This role emphasizes DevOps, agile, and lean principles with a customer-oriented approach.

Qualifications

Expectations – the experience you need:

Hard skills:

• In-depth knowledge of Amazon Web Services and interacting with their services and APIs, specifically ECS, EBS, EC2, CloudFormation
• Deep understanding and experience of maintaining and developing on Jenkins
• In-depth experience with Docker and networking
• Experience with designing automation workflows in a release automation environment
• Understanding of dependency management
• Ability to create and consume rest APIs
• Proficiency in Java and Python programming languages

Soft skills:

• Pragmatism with an eye on how to simplify complex systems
• A product mindset
• Ability to drive technical decisions, to explain technical decisions and details at varying levels of abstraction (including other engineers and management)
• Be a mentor and share your knowledge with colleagues

Additional skills – the edge you have:

• Experience with AWS EKS, AWS EC2 Fargate
• Knowledge in Golang, Kotlin or Typescript
• Deep understanding of deployment techniques like Blue Green deployment and feature toggles
• •Experience implementing release automation with Github Actions

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Job Description

Project - the aim you'll have:

We are responsible for building a platform managing Kubernetes clusters for corporate clients and government institutions.

Position - how you'll contribute:

You will be responsible for the development of the cluster management system - creating new clusters and methods of upgrading existing ones. Tshooting existing problems. 

Qualifications

Expectations - the experience you need:

• Proficiency in Linux/Unix system
• Scripting skills and programming best practicies (Python)
• Containerization (Kubernetes at least 5 years of experience is must have)
• Monitoring (e.g. Prometheus + Grafana)
• Incident Management
• Tool automation

Additional skills – the edge you have

• VMware vSphere knowledge
• Ability to work without documentation and with legacy codebase

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İş Tanımı

Dikkat: İlanı sonuna kadar okuduktan sonra başvuru yaparsanız başarı şansınız yükselir.

Şirketimizde DevOps süreçlerini yönetmek ve geliştirmek üzere bir DevOps Mühendisi arıyoruz. Bu pozisyonda, yazılım geliştirme ekipleriyle iş birliği yaparak CI/CD süreçlerinin tasarımını ve uygulanmasını sağlayacak, bulut altyapılarını yönetecek ve operasyonel süreçleri iyileştirmek için otomasyon çözümleri geliştireceksiniz.

Sorumluluklar:

• CI/CD (Continuous Integration/Continuous Deployment) pipeline'larını kurmak ve optimize etmek.
• Bulut ortamında (AWS, Azure, GCP vb.) altyapı yönetimi ve bakımını gerçekleştirmek.
• Otomasyon araçları ve betikleri geliştirmek (Terraform, Ansible, Jenkins, vb.).
• Uygulama performansı, izleme ve güvenlik süreçlerini optimize etmek.
• Operasyonel süreçlerde sürekli iyileştirme ve otomasyon sağlamak.
• Mikroservis mimarisi ve konteyner yönetimi (Docker, Kubernetes) konusunda çözümler geliştirmek.

Nitelikler

• DevOps, sistem yönetimi veya yazılım mühendisliği alanında tecrübe.
• CI/CD araçları (BitBucket, GitLab CI, CircleCI vb.) konusunda deneyim.
• Bulut servisleri (AWS, Azure, GCP) hakkında bilgi sahibi.
• Konteyner yönetimi (Docker, Kubernetes) konusunda uzmanlık.
• Otomasyon araçları (Terraform, Ansible vb.) ile çalışmış.
• Linux işletim sistemi ve komut satırı (bash, shell scripting) konusunda tecrübeli.
• Güçlü problem çözme yeteneği ve iş birliği becerisi.
• Tercihen yazılım geliştirme süreçleri (Python, Django vb.) hakkında temel bilgi.
• Orta/iyi seviyede İngilizce bilgisi.
• Türk vatandaşı olmak.
• Başvuru sırasında özgeçmişiniz ile birlikte ekibimize nasıl katkı verebileceğinizi düzyazı ile anlatan yaklaşık 3000 harf uzunluğunda bir ön yazıyı da bekliyoruz.
• Ön yazı olmayan başvurular değerlendirmeye alınmayacaktır. 

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The Chan Zuckerberg Initiative was founded by Priscilla Chan and Mark Zuckerberg in 2015 to help solve some of society’s toughest challenges — from eradicating disease and improving education to addressing the needs of our local communities. Our mission is to build a more inclusive, just, and healthy future for everyone.

The Team

CZI supports the science and technology that will make it possible to help scientists cure, prevent, or manage all diseases by the end of this century. While this may seem like an audacious goal, in the last 100 years, biomedical science has made tremendous strides in understanding biological systems, advancing human health, and treating disease. 

Our vision is to build the future of science by advancing biomedical research and leveraging advances in AI. Over the next 10 years, we’re working to understand the mysteries of the cell, which we believe will lead to discoveries that will change medicine in the decades that follow. We’ll use emerging tools, methods, and models to make new discoveries and spur the translation of basic science into groundbreaking treatments and therapies.

CZI’s work in science includes grantmaking programs, open-source software development, and close collaboration with the Chan Zuckerberg Biohub Network. The CZ Biohub Network includes the San Francisco, Chicago, and New York Biohubs as well as the Chan Zuckerberg Imaging Institute. CZI also collaborates with institutional partners like the Kempner Institute for the Study of Natural & Artificial Intelligence at Harvard University. Join us in accelerating science.

The AI/ML team is funding and building one of the largest computing systems dedicated to nonprofit life science research in the world. This new effort will provide the scientific community with access to predictive models of healthy and diseased cells, which will lead to groundbreaking new discoveries that could help researchers cure, prevent, or manage all diseases by the end of this century.

The Opportunity

As a Senior/Staff Research Scientist on the AI/ML team you will conduct original research in developing state-of-the-art methods in artificial intelligence and machine learning to solve important problems in the life sciences aligned with CZI’s mission. The era of big data in biology is upon us, driven by advancements in high-throughput measurement techniques, generating vast amounts of rich multimodal data. You will work as part of a diverse team of AI scientists and engineers leveraging large multimodal datasets to build foundation models that advance both the state-of-the-art in AI as well as our understanding of biological systems. You will also have the opportunity to work on aspects of AI for scientific discovery to build systems that embed AI systems deeply into the process of proposing and generating new scientific insights and reify existing ones into scalable systems.

You will have the opportunity to work closely with teams of scientists, computational biologists, and engineers within CZI and to collaborate with CZI grantees, CZ institutes, and other external labs and organizations. Your work will inspire and enhance the production and analysis of datasets by CZ teams and collaborators. 

What You'll Do

• Conduct original research in the area of generative multimodal modeling, large language models (LLMs), diffusion models, probabilistic reasoning and causality/causal representation learning as it applies to fundamental problems in AI for advancing the sciences. 
• Build, train, and evaluate multimodal foundation models utilizing CZI’s 1000xH100 GPU compute cluster and distributed training infrastructure. 
• Work with a diverse range of multimodal and biological data types, including multi-omics data, cell/tissue images, human specimen/cohort data, cryoET tomography, scientific literature, and more. 
• Advance the community standards for dissemination, presentation, and evaluation of computational approaches to core scientific problems.
• Contribute to the scientific community through publishing papers, blog posts, open source code, and attending conferences in machine learning and the life sciences.

What You'll Bring

• Enjoy working in a highly interactive and cross-functional collaborative environment with a diverse team of colleagues and partners.
• Have a PhD or Masters in machine learning, computer science, math/statistics or a related field or equivalent industry experience.
• Have at least 5-8 years of experience developing and applying AI/ML methods in industry and/or academia. 
• Have demonstrated experience building and training deep learning/generative models, ideally in a distributed/multi-node environment.
• Experience working with, processing, and analyzing large datasets and building data pipelines for model training. 
• A good working knowledge of Python-based ML libraries and frameworks such as PyTorch, Jax, Pyro, NumPy, and Pandas.
• Have the ability to work independently and as part of a team, and have excellent communication and interpersonal skills.
• Have a proven track record of relevant research publications, preprints, or software packages.
• An appetite for turning scientific problems into reproducible, rigorously engineered systems based on quantitative evaluation
• Enthusiasm about open science and helping usher in the age of generative AI for advancing science

Compensation

The Redwood City, CA base pay range for this role is $190,000 - $285,000. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. Pay ranges outside Redwood City are adjusted based on cost of labor in each respective geographical market. Your recruiter can share more about the specific pay range for your location during the hiring process.

Benefits for the Whole You 

We’re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible. 

• CZI provides a generous employer match on employee 401(k) contributions to support planning for the future.
• Annual benefit for employees that can be used most meaningfully for them and their families, such as housing, student loan repayment, childcare, commuter costs, or other life needs.
• CZI Life of Service Gifts are awarded to employees to “live the mission” and support the causes closest to them.
• Paid time off to volunteer at an organization of your choice. 
• Funding for select family-forming benefits. 
• Relocation support for employees who need assistance moving to the Bay Area
• And more!

Commitment to Diversity

We believe that the strongest teams and best thinking are defined by the diversity of voices at the table. We are committed to fair treatment and equal access to opportunity for all CZI team members and to maintaining a workplace where everyone feels welcomed, respected, supported, and valued. Learn about our diversity, equity, and inclusion efforts. 

If you’re interested in a role but your previous experience doesn’t perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.

Explore our work modes, benefits, and interview process at www.chanzuckerberg.com/careers.

#LI-Hybrid

 

 

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Job Description

M3 Global Research, an M3 company, is seeking a Senior Data Engineer to join our data engineering team. This role will focus on building and maintaining robust data pipelines, working closely with stakeholders to ensure data solutions align with business objectives, and utilizing tools like Power BI for data visualization and reporting. The ideal candidate has strong analytical skills, a passion for data-driven decision-making, and excellent communication abilities to work effectively with stakeholders across the organization.

Essential Duties and Responsibilities:

Include, but are not limited to:

• Design, develop, and maintain high-quality, secure data pipelines and processes to manage and transform data efficiently.
• Lead the architecture and implementation of data models, schemas, and integrations that support business intelligence and reporting needs.
• Collaborate with cross-functional teams to understand data requirements and deliver optimal data solutions that align with business goals.
• Maintain and enhance data infrastructure, including data warehouses, lakes, and integration tools.
• Provide guidance on best practices for data management, security, and compliance.
• Support Power BI and other visualization tools, ensuring consistent and reliable access to data insights.
• Oversee the delivery of data initiatives, ensuring they meet project milestones, KPIs, and deadlines.

Qualifications

• 5+ years of experience in data engineering or related fields.
• 2+ years of experience with Power BI or similar data visualization tools.
• Proficiency with data engineering tools and technologies (e.g., SQL, Python, ETL tools).
• Strong experience with Power BI for data visualization and reporting.
• Familiarity with cloud-based data platforms (e.g., AWS, Azure, Google Cloud).
• Experience with data modeling, data warehousing, and designing scalable data architectures.
• Strong knowledge of database systems (e.g., SQL Server, Oracle, PostgreSQL).
• Experience working in an Agile development environment.
• Excellent communication skills to work effectively with both technical and non-technical stakeholders.
• Ability to multi-task and manage multiple projects simultaneously.
• Problem-solving mindset with a desire to continuously improve data processes.  

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Job Description

Essential Duties and Responsibilities: 

Including, but are not limited to:  

• Design, develop, and maintain high-quality, secure data pipelines and processes to manage and transform data efficiently. 

• Lead the architecture and implementation of data models, schemas, and integrations that support business intelligence and reporting needs. 

• Collaborate with cross-functional teams to understand data requirements and deliver optimal data solutions that align with business goals. 

• Maintain and enhance data infrastructure, including data warehouses, lakes, and integration tools. 

• Provide guidance on best practices for data management, security, and compliance. 

• Support Power BI and other visualization tools, ensuring consistent and reliable access to data insights. 

• Oversee the delivery of data initiatives, ensuring they meet project milestones, KPIs, and deadlines. 

Qualifications

Education and Training Required: 

• Bachelor’s degree in Computer Science, Data Science, or a related field, or equivalent experience.  

Minimum Experience: 

• 5+ years of experience in data engineering or related fields.  

• 2+ years of experience with Power BI or similar data visualization tools.  

Knowledge and Skills: 

• Proficiency with data engineering tools and technologies (e.g., SQL, Python, ETL tools).  

• Strong experience with Power BI for data visualization and reporting.  

• Familiarity with cloud-based data platforms (e.g., AWS, Azure, Google Cloud).  

• Experience with data modelling, data warehousing, and designing scalable data architectures.  

• Strong knowledge of database systems (e.g., SQL Server, Oracle, PostgreSQL).  

• Experience working in an Agile development environment.  

• Excellent communication skills to work effectively with both technical and non-technical stakeholders.  

• Ability to multi-task and manage multiple projects simultaneously.  

• Problem-solving mindset with a desire to continuously improve data processes.  

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Job Description

We are seeking a motivated and results-driven US Technical Recruiter to join our team. The ideal candidate will have a strong background in recruiting for IT and technology roles within the United States, possess excellent communication skills, and demonstrate a deep understanding of the full recruitment lifecycle. You will be responsible for sourcing, attracting, and hiring top technical talent across various domains to meet the hiring needs of our clients. This is an excellent opportunity for someone who thrives in a fast-paced environment and has a passion for matching skilled professionals with rewarding technical roles.

Key Responsibilities:

1. Talent Acquisition:

   • Source, identify, and engage qualified candidates for IT and technical positions through various channels (job boards, LinkedIn, social media, referrals, etc.).
   • Screen candidates through interviews, assessments, and technical evaluations to determine their suitability for specific roles.

2. Full Lifecycle Recruitment:

   • Manage the full recruitment process, including job posting, resume review, candidate screening, interview coordination, offer negotiation, and onboarding.
   • Work closely with hiring managers and clients to understand job requirements and develop effective sourcing and recruiting strategies.

3. Market Expertise:

   • Stay updated with the latest trends in the IT industry, including emerging technologies and in-demand skill sets.
   • Provide insights into market conditions, salary benchmarks, and candidate availability.

4. Candidate Experience:

   • Ensure a positive candidate experience by maintaining professional communication, managing expectations, and providing feedback throughout the hiring process.

5. Database Management:

   • Maintain accurate records in applicant tracking systems (ATS) and databases, ensuring up-to-date candidate profiles and tracking recruitment activities.

Qualifications:

• Education:

  • Bachelor’s degree in Human Resources, Business, Information Technology, or a related field is preferred.

• Experience:

  • 2+ years of experience in technical recruitment, preferably within the US market.
  • Proven experience recruiting for IT roles such as software engineers, developers, data engineers, cybersecurity specialists, and cloud architects.
  • Experience in working with both permanent and contract positions is a plus.

• Technical Skills:

  • Strong understanding of technical job requirements and terminology (Java, Python, AWS, DevOps, Full-Stack Development, etc.).
  • Familiarity with applicant tracking systems (ATS), sourcing tools, and recruitment CRMs.
  • Ability to assess technical resumes and interview candidates to gauge technical proficiency.

• Soft Skills:

  • Excellent communication and interpersonal skills.
  • Strong problem-solving skills with the ability to adapt in a dynamic, fast-paced environment.
  • Time management and multitasking abilities, with a proven track record of managing multiple positions simultaneously.
  • Strong negotiation skills and a sense of urgency in closing roles.

Additional Requirements:

• Experience recruiting within the US labor market is required.
• Knowledge of US employment laws and practices, including familiarity with visa processes (H-1B, OPT, TN, USC, GC etc.).
• Ability to work in different time zones to cater to US clients and candidates.
• Strong business acumen and the ability to work independently with minimal supervision.

Qualifications

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Job Description

We are currently looking for a Process Engineering Data Architect with a strong background in data science to join our growing Corporate Transformation Office at Brightspeed. In this role, you will be responsible for driving Operational Excellence through optimization, design, and implementation of cross-functional processes and systems. This role requires a deep understanding of data engineering principles, as well as familiarity with data analysis and machine learning concepts. You will accelerate value creation by establishing & owning an end-to-end structured program to “audit, improve, control and drive continuous improvements” across key cross-functional customer-facing and back-end processes for maximum efficiency and effectiveness. You will lead the Process Engineering function in a hands-on manner, leveraging Six Sigma, AI / Robotic Process Automation, and other industry-leading techniques to perform business simulation of end-to-end customer journeys such as ordering, installation, activation, payment, etc. across sales and care channels. Additionally, you will review selected back-end cross functional processes that maximize customer, frontline and shareholder value. You will be responsible for ensuring team & stakeholder accountability against Operations Excellence charter, delivering end-to-end results rapidly, and creating the right level of transparency to the key stakeholders to promote collaboration and effective adoption. You will conduct comprehensive program review across all process engineering initiatives, inclusive of risk / mitigation assessment and proactive ways to continuously improve customer and shareholder value in a prioritized / targeted manner. In this position, you will prepare comprehensive reports and presentations summarizing the status of process engineering initiatives, including key milestones, achievements, and challenges. You will present findings to senior leadership and stakeholders, actionable insights, and recommendations for improvement. 

As a Process Engineering Data Architect, your duties and responsibilities will include: 

• Design, develop, and maintain scalable data pipelines and ETL processes to facilitate data extraction / collection, transformation, and loading / storage
• Collaborate with Transformation Office and business stakeholders to understand data requirements and provide the necessary data infrastructure
• Optimize and improve existing data architectures and processes for efficiency and performance
• Ensure data quality, integrity, and security across all data sources and storage systems
• Develop and implement data models to support analytics and machine learning applications
• Monitor and troubleshoot data workflows to ensure timely and accurate data delivery
• Stay current with emerging technologies and best practices in data engineering and data science

Qualifications

WHAT IT TAKES TO CATCH OUR EYE:

• 3+ years of experience in data engineering, with a preference for candidates with a background in data science
• Bachelor’s degree in computer science, Data Science, Engineering, or a related field from a top tier university; Master’s degree preferred
• Proficiency in programming languages such as Python, Java, or Scala 
• Experience with big data technologies (e.g., Hadoop, Spark) and data warehousing solutions (e.g., Snowflake, Redshift)
• Familiarity with data visualization tools (e.g., Tableau, Power BI) and statistical analysis
• Strong understanding of SQL and database management systems (e.g., MySQL, PostgreSQL)
• Knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) is a plus. 
• Excellent problem-solving skills and attention to detail
• Effective communication skills and the ability to work collaboratively in a team environment

#LI-SS1

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Job Description

Are you ready to make a real impact in the world of hiring? At HireVue, we’re on a mission to revolutionize the recruitment landscape by harnessing the power of data and AI. Our Data Science team, embedded within our Product organization, is at the forefront of this exciting journey!

As part of our team, you’ll develop cutting-edge, data-driven products that enhance the hiring process by focusing on human potential and connecting talent with opportunity. We’re responsible for all things AI at HireVue, from our intuitive chatbot to analyzing language in video interviews, and much more!

We’re entering an exhilarating new phase of innovation, exploring candidate matching and GenAI-based tools that will redefine how companies find and engage talent. If you’re passionate about leveraging data to drive meaningful change and thrive in a collaborative, forward-thinking environment, we want to hear from you!

• Innovate with Algorithms: Dive into the world of cutting-edge technology by developing groundbreaking algorithms and models that will enhance our products and elevate the hiring experience!

• Uncover Insights: Use your analytical skills to extract and analyze rich datasets from HireVue, focusing on human interactions and decision-making. Your discoveries will drive meaningful improvements!

• Create Success Metrics: Take the lead in formulating success metrics and crafting algorithms for entirely new products, paving the way for innovative solutions in the hiring landscape.

• Experiment and Explore: Design and execute exciting experiments to test new product ideas, pushing the boundaries of what’s possible and shaping the future of hiring!

Qualifications

We are looking for candidates with:

• 2+ years of Data Science work experience

• Degree in a quantitative discipline (MS or PhD preferred) - Statistics, Mathematics, Computer Science, Physics, Engineering, etc. 

• Experience with standard Machine Learning algorithms, including model evaluation and hyperparameter tuning

• Experience with algorithmic fairness is a plus

• Familiarity with recommender systems preferred

• Proficiency with novel NLP techniques (embedding models)

• Must program in a scripting language such as Python. Familiarity with machine learning Python libraries like numpy, scikit, and pandas is required.

• Able to collaborate with the HireVue Industrial-Organizational Psychology team to perform novel research to remain pioneers in hiring technology

• Able to translate business objectives into actionable analyses

• Able to communicate findings clearly to both technical and non-technical audiences

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Our job everyday is to protect the data and critical assets of businesses world-wide by discovering hidden vulnerabilities… before the bad guys do!

At CybelAngel, we see beyond perimeters to protect businesses from the most critical cybersecurity threats. Fortune 500 Global to mid-size companies world-wide, trust CybelAngel’s global team of approximately 140 team members to protect their businesses from digital threats. With a combination of advanced machine learning, cyber analysis expertise, and a powerful suite of software solutions, CybelAngel detects and resolves our clients potential threats, long before they can fall into the hands of cyber criminals.

Our capabilities expand every day to uncover new risks, detect more threats, protect more clients, and create new possibilities for our employees.

With offices in Boston, Paris, and London, CybelAngel’s global footprint allows for a thriving hybrid, office and remote-work environment. We are looking for exceptional ‘go-getters’ who share our ambitious vision, innovative culture, high commitment to ethics, and enthusiasm for being the best possible place to work!

Our values:

• Be Bold
• Be Curious
• Stronger Together

Product & Engineering organization

The Product & Engineering organization at CybelAngel is about 50 people, grouped into 10 specialized teams, from product managers to support agents, from infrastructure experts to data scientists.

Teams are focused on building the web applications and underlying services that are used by our in-house security analysts, external partners and clients to handle and remediate cybersecurity threats.

The teams together share a wide functional scope which comprises dedicated web apps such as:

• tools for investigating and remediating cyber-security threats
• dashboards to help our clients get a sense of their exposition to risks
• APIs for partners to plug into our workflows
• specialized panels to fine-tune our threat detection technologies

They are able to decide and operate on the whole stack ranging from infrastructure to visual appearance, through data models, APIs and business logic, with guidance from more specialized teams when needed (eg. SRE, Product Design).

We’re seeking a skilled Senior Software Engineer, specialized in the front-end to join our dynamic team. You will play a crucial role in building high-quality user interfaces and enhancing the overall user experience of our software solutions.

Responsibilities

As a software engineer

All software engineers routinely:

• Design, implement and deploy new product features
• Review and test code written by their teammates
• Monitor applications running in production
• Investigate incidents and fix bugs
• Take part in the daily life of their team

As a senior software engineer

In addition, senior software engineers do their best to make their team better. More specifically, they:

• Inspire junior engineers by being exemplary
• Pair on difficult tasks with less-knowledgeable engineers
• Improve practices to speed-up development
• Identify major technical improvements to be pursued
• Promote attention to product quality

As a Front end specialist 

• Develop and maintain high-performance, responsive web applications
• Collaborate with the design team to translate UI/UX design wireframes and prototypes into functional web applications
• Contribute to all phases of the development lifecycle, including analysis, design, implementation, and deployment
• Optimize applications for maximum speed and scalability
• Ensure the technical feasibility of UI/UX designs and provide feedback to design teams
• Work closely with backend developers to integrate APIs and services

Stack

• Front-end: VueJS/VueX, Vuetify, TypeScript
• Back-end: Python, Flask
• Databases: PostgreSQL, MongoDB, ElasticSearch
• Infrastructure: GCP, Kubernetes, Docker, Terraform, Gitlab CI, Datadog

Your profile

• At least 5+ years of experience as a software engineer
• 2+ years of experience in a fast-growing startup environment
• Significant contribution to a large web app, especially on the front-end

Hard skills

• Solid experience with back-end  and front-end development 
• Some experience with JavaScript or TypeScript
• Understanding of web-related security risks (or willing to learn)
• A fullstack & devops mindset
• Writes and speaks english

Soft skills

• Cares about the final products and users
• Gets things done with pragmatism
• Questions the status-quo when necessary
• Communicates efficiently with others
• Knows how to deal with disagreements

Our Product & Engineering Culture

????️ Small teams & short iterations

???? Culture of sharing, pair and mob programming, when it makes sense

????‍???? Quality time dedicated to technical design

????‍♂️Half the software engineers have over 10 years of experience

???? Voyager Program to change team temporarily and discover how they work #becurious

✌️ Cooldown week dedicated to learning and experimenting

???? Remote options from everywhere in France or neighboring countries (but you can come to our office in the 9th district in Paris whenever you want, and it's paid by the company once every 2 months)

Our Benefits

???? Salary range: 60-70k based on your level of seniority and competencies you will demonstrate during the hiring process

???? 5 % bonus, based on company and individual performances

???? Debit card for paying for lunch, with company contribution

????‍⚕️Healthcare insurance, with company contribution

????️Remote allowance 

????????‍♀️ Monthly credits to spend with CSE partner

????️5 weeks of holidays and RTT

????Subsidy for one sporting event per year

⚖️ Legal Care Service solution

???? Green team

????Diversity & Inclusion group 

???? Very friendly and benevolent atmosphere

Your hiring journey

1. 30’ call with Pierre, recruiter to make sure expectations from both ends have a good chance to match
2. 60' call with Yoann, VP Engineering, to evaluate skills and culture fit
3. 90’ call with two teammates to explore and discuss a practical situation
4. 45' call with Edith, Engineering Team Lead

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Job Description

What you’ll do: 

This is your opportunity to grow at the intersection of Data, Digital, Product, Technology and human behavioral change to be a big part of something big.

• Share expertise to define carsales' Retail team's analytical approaches underpinning product performance and development, data commercialisation, data-enabled partnerships and commercial outcomes.
• Develop and support solutions that deliver end-to-end data products and direct the lifecycle of complex solutions.
• Collaborate and connect with teams across Data, Retail, Product and Technology to deliver on decision-support and data commercialisation initiatives as a data SME.
• Understand and agree to the medium-term (~3-12 month) plans in Retail and Product and break these down into quarterly OKRs that can be executed by smaller teams.
• Share expertise to grow and deliver as a key leader within the Data function, bringing best-in-industry analytical expertise in partnering with our Retail function whose opportunities are amongst the fastest growing in the business.
• Share expertise to perform advanced statistical modelling and analysis of structured and unstructured datasets to develop metrics, reports and visualizations of trends and patterns.
• Lead teams of 1-3 data specialists that deliver cross-functional work with business and technology teams.

Qualifications

What are we looking for? 

What are we looking for?

• Demonstrated inclusive and interpersonal attributes that connect you to our behaviours (we change the game, we own it, we step in, we are curious, we don’t take ourselves too seriously).
• Demonstrate understanding and expertise to advance our analytical solutions (e.g. machine learning, product development, digital analytics, cross-site performance optimisation) that enables carsales' Retail division's continued market leadership against a backdrop of evolving market conditions.
• Expertise in the application of quantitative methods and/or other developing econometric / statistical type solutions.
• Collaborative communication with visualisation tools and techniques to generate dashboards and outputs that aid in data storytelling, understanding and interpretation of trends and patterns of business importance.
• Collaborative skills to manage and solve complex trade-offs between business stakeholder needs and technical objectives, and a willingness to engage in conversations between groups.
• Skilled in two or more programming languages of their area of specialisation –– e.g. SQL, Python, Java, Scala and experience with cloud data platforms and analytic tools including – Snowflake, dbt, Thoughtspot, Tableau.

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Ready to embark on the quest of joining Hack The Box?

At the end of this thrilling journey, you'll become a proud member of Hack The Box, with the ultimate mission to help redefine cybersecurity expertise. Get ready for an exciting adventure into the world of cybersecurity! ????????????

✨The core mission of the Senior Analytics Engineer:

HTB’s Analytics team is looking for a Senior Analytics Engineer, who will enable data analysts and various stakeholders to make data-driven decisions.

As a Senior Analytics Engineer, you will be able to get creative & build stuff from scratch. You will participate in end-to-end projects, from gathering the business requirements by having deep business conversations, to creating the final solution. Main focus for the Analytics Engineer will be to understanding the business needs and then develop and maintain data pipelines to serve the organization.

???? The fellowship you’ll be joining:

Our analytics team, consisting of 4 people, collaborates with multiple departments within HTB, like Product, Finance, Revenue Operations , Sales & more. Our day-to-day tasks span from product feature analysis to systematic revenue reporting that enables a data driven mindset for all HTBers.

⚔️ Technology tools & weapons you’ll be using:

• SQL
• Dbt
• Snowflake
• Python
• (Tableau)

???? The adventures that await you after becoming a Senior Analytics Engineer at Hack The Box:

• Develop, monitor, maintain, optimise and troubleshoot data pipelines to ensure data is accurate and timely
• Build and optimise data models (using python, SQL ,dbt or similar tools) to support business reporting and analysis needs.
• Implement data quality checks and validation routines to maintain high standards of data integrity.
• Document data models, data transformations, and business logic for transparency and knowledge sharing.
• Collaborate with data analysts, data scientists, product teams and other business stakeholders to define data requirements, business logic, and reporting needs.
• Collaborate with other departments to assist in implementing automations for routine tasks and data operations to streamline workflows.
• Assist in designing and developing new reports, dashboards, and visualisations based on business needs.
• Evaluate and recommend new tools or process improvements to optimise data workflows and enhance productivity.
• Provide support and guidance to other team members on data-related matters
• Help build a data-driven culture across HTB by identifying areas where data could add value.
  
  

???? Skills, knowledge, and experience points required to unlock the role of the Senior Analytics Engineer at Hack The Box:

• Proficiency in SQL for complex querying, data transformation, and performance optimization (5+ years).
• Strong Experience in data modelling and data pipelines.
• Strong skills in Python for data manipulation, automation, and building scalable data solutions.
• Experience with Git for version control and collaborative development.
• Strong business acumen.
  

???? Nice to have

• Experience with tools such as dbt and Prefect for building, scheduling, and managing data pipelines.
• Familiarity with data quality frameworks and governance practices, including the use of tools like Datahub
• Familiarity with handling data from commonly used 3rd party CRM, Billing and Finance applications ( like Hubspot, Salesforce, Stripe, Zuora, Recurly, Netsuite)
• Experience with collaboration platforms like Confluence, JIRA, for project and task management.

????️ What your Hack The Box adventure will have in store:

• ????You'll have the exhilarating opportunity to contribute to a product that is highly appreciated by users and the cybersecurity community at large.
• ???? You'll experience a highly supportive and caring environment, fostering growth, flexibility, and autonomy.
• ???? You'll embark on an exciting journey of continuous learning and problem-solving, leveling up as our organization grows.
• ???? Most importantly, you'll have a blast at HTB ???? because fun is an essential ingredient in our recipe for success! Just wait until you see our global meet-ups!

????The gems you’ll be enjoying as a Senior Analytics Engineer :

• Private health care
• Paid paternity leave
• 25 annual leave days
• Free lunch & snacks at the office
• Dedicated budget for training and professional development, participation in conferences
• Full access to the Hack The Box lab offerings; so you can learn how to hack ????
• State-of-the-art equipment (mac, iPhone, and mobile plan)
• Flexible WFH (Hybrid Model) - Fully Remote is also an option if you're not an Attica resident
  

????️ The Quest of Becoming Hack The Box’s Senior Analytics Engineer:

• Level 1: To complete level one’s objective, submit your application. 
• Level 2: Meet the Talent Acquisition team. Level’s objective: highlight your past achievements, ambitions, and values.
• Level 3: Meet the hiring manager. Level’s objective: connect with the hiring manager and share with them your achievements. 
• Level 4: Complete an assignment that aligns with day-to-day job-related tasks and responsibilities, and have a constructive conversation over the assignment.
• Level 5: Congratulations! Not many reach this level ????. Level’s objective: have a constructive, final conversation with the PM you're going to be working closely with, explore the role and your future at HTB. 
• Level 6: You've officially received an offer from HTB! To complete the last level and the Quest, all you need to do is accept the offer. 
• Quest complete. Congratulations, you’re officially one of us ????????????Your next quest: complete the onboarding.

Hack Your Career, Today. Join us in this epic adventure of cybersecurity at Hack The Box! ????????????

At Hack The Box, we are on a quest to find the most exceptional and enthusiastic talent to join our team. Whether or not you consider yourself a gamer, we value what makes you unique and want to know more about you. This job post provides just a glimpse of the incredible gamified experience our business and consumer customers enjoy through our platforms. So, if you're ready to embark on a journey of disruption, growth, and adventure, we can't wait to meet you!

ABOUT HACK THE BOX

Hack The Box is the Cyber Performance Center with the mission to provide a human-first platform to create and maintain high-performing cybersecurity individuals and organizations. 

Hack The Box is the only platform that unites upskilling, workforce development, and the human focus in the cybersecurity industry, and it’s trusted by organizations worldwide for driving their teams to peak performance. Offering an all-in-one environment for continuous growth, assessment, and recruitment, Hack The Box provides solutions for all cybersecurity domains. 

Launched in 2017, Hack The Box brings together the largest global cybersecurity community of more than 3 million platform members. Rapidly growing its international footprint and reach, Hack The Box is headquartered in the UK, with additional offices in the US, Australia, and Greece.

???? Exciting News:

• We are super proud to share that HTB’s all three entities across the UK, US, and Greece have been Certified as a Great Place to Work (Oct 2023-Oct 2024). 
• Furthermore, in 2024 the HTB's Greek entity has been listed by the Great Place to Work Institute as the  #2 Best Workplace in Greece and #10 Best Workplace in Europe (among Small & Medium Workplaces????).
• Take a sneak peek at how it is to be part of HTB and our 2023 Global Retreat. Get more insights about our HTB culture and employee experience by visiting the “about us” section of our site, our career site, and Glassdoor.

At Hack The Box, we are committed to fostering a diverse, inclusive, and equitable workplace. We believe that diversity enriches our performance, services, and the communities we serve. As such, we ensure that all job applications are considered solely based on merit, skills, and qualifications. We do not discriminate on grounds of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We are dedicated to providing a fair and respectful work environment that reflects our values.

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