Staff Data Ops Engineer - Platform Job at Doctolib (Paris)

Staff Machine Learning Engineer

Machine learning is the crucial enabler for every financial service EarnIn provi...

Location

United States , Mountain View

Salary:

272700.00 - 333300.00 USD / Year

EarnIn

Expiration Date

Until further notice

Requirements

Bachelor's or Master’s degree in Computer Science, Engineering, or a related field, or relevant equivalent experience
7+ years of industry machine learning experience and excellent software engineering skills
Strong programming skills in Python, with familiarity in ML frameworks such as TensorFlow or PyTorch
Experience with ML cloud platforms like AWS Sagemaker, Databricks, or GCP Vertex AI
Experience with LLM Ops, foundation model APIs, and AI engineering
Familiarity with data pipeline and workflow management tools
Strong communication and collaboration skills
Passion for learning and staying updated with the latest machine learning and platform engineering industry trends

Job Responsibility

Design, build, and maintain the ML and AI platform and tools to support the end-to-end machine learning lifecycle
Work closely with other machine learning engineers to understand their workflows, optimize model training and deployment processes, and ensure the reproducibility of results
Ensure scalability, reliability, cost efficiency, and ease of use of the machine learning platform
Contribute to evaluating and adopting new technologies and tools to enhance our machine-learning capabilities
Set examples of outstanding operational excellence. Be the catalyst for step-jump changes
Be a mentor, coach, leader and inspiration to those around you

What we offer

equity and benefits

Fulltime

Staff DevOps - Data Platform

We are looking for a Staff DevOps - Data Platform to join the Data and ML Platfo...

Location

France , Paris

Salary:

Not provided

Doctolib

Expiration Date

Until further notice

Requirements

7+ years of experience after graduation as a Staff Data Platform Engineer, Staff Data Ops, Staff Site Reliability Engineer, or in a similar role, with a history of architecting and scaling robust data platforms
Extensive experience with Google Cloud Platform and a command of Kubernetes & Terraform for automated deployments
Authority on implementing network and IAM security best practices
Deep technical proficiency in orchestrating data pipelines using Airflow or Dagster, deploying applications to the cloud, and leveraging modern data warehouses such as BigQuery
Highly skilled in programming with Python, and have a solid understanding of software development principles
Excellent troubleshooter who excels at diagnosing and fixing data infrastructure and identifying performance bottlenecks
Strong communicator who can articulate complex technical concepts to both technical and non-technical audiences

Job Responsibility

Design and implement enterprise-scale data infrastructure strategies, conducting thorough impact and cost analysis for major technical decisions, and establishing architectural standards across the organization
Build and optimize complex, multi-region data pipelines handling petabyte-scale datasets, ensuring 99.9% reliability and implementing advanced monitoring and alerting systems
Lead cost analysis initiatives, identify optimization opportunities across our data stack, and implement solutions that reduce infrastructure spend while improving performance and reliability
Provide technical guidance to data engineers and cross-functional teams, conduct architecture reviews, and drive adoption of best practices in DataOps, security, and governance
Evaluate emerging technologies, conduct proof-of-concepts for new data tools and platforms, and lead the technical roadmap for data infrastructure modernization

What we offer

Free comprehensive health insurance for you and your children
Parent Care Program: receive one additional month of leave on top of the legal parental leave
Free mental health and coaching services through our partner Moka.care
For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
Work from EU countries and the UK for up to 10 days per year, thanks to our flexibility days policy
Work Council subsidy to refund part of sport club membership or creative class
Up to 14 days of RTT
A subsidy from the work council to refund part of the membership to a sport club or a creative class
Lunch voucher with Swile card

Fulltime

Senior Staff GTM Engineer

Fivetran is building data pipelines to power the modern data stack for thousands...

Location

United States , Denver; Oakland

Salary:

177192.00 - 221490.00 USD / Year

Fivetran

Expiration Date

Until further notice

Requirements

5+ years of experience in GTM, Marketing Ops, Sales Ops, or Revenue Operations roles with a strong technical focus
Hands-on experience with GTM and automation tools such as Salesforce, Marketo, Outreach, Gong, Zoominfo, SQL, Looker or similar platforms
Strong technical skills with a proven ability to leverage AI and automation to improve GTM processes and deliver measurable results
Experience with systems architecture, data engineering or software engineering is a plus
Systems thinker with a structured, process-driven approach and a passion for experimentation
Excellent business acumen and analytical skills—able to analyze funnels, identify leverage points, and communicate findings effectively to non-technical stakeholders
Experience supporting product-led growth (PLG) motions within high-growth SaaS environments
Comfort working autonomously in fast-paced, high-trust settings
High level of curiosity and a proactive mindset toward learning and innovation

Job Responsibility

Systematize and automate GTM workflows by designing scalable processes for outreach, routing, and enrichment across the funnel
Identify areas of opportunity for AI tooling
Support downstream and post-sales processes, including customer onboarding and renewals, by developing next-best action recommendations, product and solution suggestions, and churn alerts to enhance customer engagement and retention
Use your engineering skills to connect data, personalize outreach at scale, and eliminate manual work using a mix of custom software and new technology
Conduct data-driven GTM experiments — identify, test, and iterate on new strategies for customer acquisition, activation, and pipeline growth
Monitor performance, run analyses, and optimize based on impact
Collaborate cross-functionally with sales, marketing, and product teams to identify inefficiencies, run experiments, and scale successful initiatives

What we offer

100% employer-paid medical insurance
Generous paid time-off policy (PTO)
Paid sick time
Inclusive parental leave policy
Holidays
Volunteer days off
RSU stock grants
Professional development and training opportunities
Company virtual happy hours
Free food

Fulltime

Executive Director, Data & Technology Clinical Operations

The Executive Director, D&T Clinical Operations leads all technology, data, and ...

Location

United States

Salary:

Not provided

Parexel

Expiration Date

Until further notice

Requirements

15+ years of experience in clinical operations technology, operational delivery, or related leadership roles in life sciences
Demonstrated oversight of operational systems supporting study execution, monitoring, and closeout
Experience leading cross-functional teams in regulated environments
Strong knowledge of safety, regulatory, and operational data lifecycles
Experience with enterprise integration technologies, data lakes, and clinical reporting environments
Bachelor’s degree required (Life Sciences, Engineering, Technology, or related field)
Master’s degree or equivalent experience preferred
Executive leadership with a strong ability to influence across Clinical Operations, Safety, OEDI, Regulatory, and Technology
Deep understanding of clinical trial processes, technology workflows, and operational KPIs
Expertise in clinical systems, workflow automation, integrations, and operational data

Job Responsibility

Serve as the senior D&T leader accountable for all technology capabilities supporting Clinical Operations, including operational systems, workflows, and data pipelines
Ensure system reliability, user readiness, and operational optimization for global Clinical Operations teams
Align technology and process improvements with Clinical Operations’ goals for efficiency, accuracy, and cycle‑time reduction
Oversee integrations between Clinical Operations systems and the broader D&T ecosystem (data lake, reporting, enterprise integration platforms)
Ensure accurate and timely data flows across operational technologies used in clinical execution, safety, regulatory, and cross-functional processes
Oversee maintenance, upgrades, validation, and enhancement of Clinical Ops–related platforms
Ensure alignment with validation, SDLC, compliance, and quality frameworks
Ensure system retirement, consolidation, and introduction of new capabilities follow enterprise standards
Represent Clinical Operations in enterprise governance forums, including Data Governance, Portfolio Planning, and Operational Excellence bodies
Lead intake and prioritization discussions for all Clinical Operations technology requests, in coordination with PMO/Portfolio teams

What we offer

Health, Vision & Dental Insurance
Tuition Reimbursement
Vacation/Holiday/Sick Time
Flexible Spending & Health Savings Accounts
Work/Life Balance
401(k) with Company match
Pet Insurance
Opportunity to work on innovative projects at the forefront of the industry
Collaborative and inclusive work environment that values your expertise
Professional advancement and development opportunities

Fulltime

Senior Staff GTM Engineer

Fivetran is building data pipelines to power the modern data stack for thousands...

Location

United States , Oakland; Denver

Salary:

196880.34 - 246100.42 USD / Year

Fivetran

Expiration Date

Until further notice

Requirements

5+ years of experience in GTM, Marketing Ops, Sales Ops, or Revenue Operations roles with a strong technical focus
Hands-on experience with GTM and automation tools such as Salesforce, Marketo, Outreach, Gong, Zoominfo, SQL, Looker or similar platforms
Strong technical skills with a proven ability to leverage AI and automation to improve GTM processes and deliver measurable results
Systems thinker with a structured, process-driven approach and a passion for experimentation
Excellent business acumen and analytical skills—able to analyze funnels, identify leverage points, and communicate findings effectively to non-technical stakeholders
Experience supporting product-led growth (PLG) motions within high-growth SaaS environments
Comfort working autonomously in fast-paced, high-trust settings
High level of curiosity and a proactive mindset toward learning and innovation

Job Responsibility

Systematize and automate GTM workflows by designing scalable processes for outreach, routing, and enrichment across the funnel
Identify areas of opportunity for AI tooling
Support downstream and post-sales processes, including customer onboarding and renewals, by developing next-best action recommendations, product and solution suggestions, and churn alerts to enhance customer engagement and retention
Use your engineering skills to connect data, personalize outreach at scale, and eliminate manual work using a mix of custom software and new technology
Conduct data-driven GTM experiments — identify, test, and iterate on new strategies for customer acquisition, activation, and pipeline growth
Monitor performance, run analyses, and optimize based on impact
Collaborate cross-functionally with sales, marketing, and product teams to identify inefficiencies, run experiments, and scale successful initiatives

What we offer

100% employer-paid medical insurance
Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays, and volunteer days off
RSU stock grants
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents

Fulltime

Principal Engineer, Model Dev Platform

As the Principal Engineer for the Model Development Platform at Wayve, you will ...

Location

United States , Sunnyvale

Salary:

Not provided

Wayve

Expiration Date

Until further notice

Requirements

Technical Leadership at Scale – 10+ years of experience designing and building large-scale distributed systems, ML/AI infrastructure, full stack web application, or developer platforms, including at least 3 years as a staff or principal-level engineer
Architectural Depth & Breadth – Proven ability to design systems spanning web platforms, ML pipelines, and large-scale compute orchestration (e.g., Spark, Ray, Kubernetes, Airflow, MLflow)
Reliability & Performance Mindset – Experience driving platform reliability improvements, defining SLAs/SLOs, and building self-healing and observable systems that operate at “four nines” availability or better
Hands-On Systems Design – Deep understanding of distributed computing, workflow orchestration, data modeling, and API design, with the ability to write and review production-quality code
Collaborative Influence – Excellent communication and cross-functional collaboration skills
ability to guide engineers, managers, and researchers toward unified technical direction
Mentorship & Culture – Demonstrated success in mentoring engineers across levels and cultivating a culture of engineering excellence
Education – Bachelor’s degree in Computer Science, Software Engineering, or related field (advanced degree preferred, or equivalent experience)

Job Responsibility

Design and evolve the overarching architecture of the model development platform, ensuring system-wide reliability, observability, and scalability
Work across disciplines—from front-end web UIs to large-scale distributed training, from Spark-based data pipelines to experiment scheduling algorithms using linear optimization—to unify the platform’s architecture and ensure smooth interoperability between systems
Dive deep into the thorniest technical challenges faced by individual subteams, bringing your expertise in distributed systems, large-scale compute, and system design to bear
Develop and refine systems that optimize how models are tested—whether in simulation or on-road—balancing constraints like hardware availability, safety requirements, and research priorities
Architect data processing pipelines capable of ingesting, transforming, and enriching petabytes of sensor data from the global fleet
Serve as a mentor and coach for engineers across the organization—developing technical talent, improving design practices, and fostering a culture of learning and technical excellence
Partner with Product Management, Research, and Operations to align technical architecture with user needs and product vision

New

Senior Engineering Manager

As Senior Engineering Manager on our team, you will work with our Engineering Le...

Location

Canada , Toronto

Salary:

200000.00 CAD / Year

Flywheel Digital

Expiration Date

Until further notice

Requirements

Progressive years of software engineering experience
3+ years leading teams of Engineering talent from co-op to Staff
Strong experience working with Python, Django, Flask, ReactJS, Airflow
Strong software engineering fundamentals including systems architecture, algorithms, problem solving
Experience building web-based SaaS products
Understanding of how the Web and Cloud works
Experience working in GCP, AWS or Azure
Experience scaling systems that ingest terabytes of data daily
Customer obsessed
Able to build relationships with a diverse set of internal and external stakeholders

Job Responsibility

Lead, mentor, and manage a team of Engineers focused on advertising bidding algorithms
Build and execute development plans, create and deploy best-in-class processes, and proactively identify and resolve issues
Use depth and breadth of technical expertise to ensure platforms being built are scalable, maintainable and extensible
Work closely with peers in product, design, production and QA, to ensure seamless execution
Actively participate in design and code reviews for the team
Work towards building a cohesive team united by best in class engineering principles
Help drive a cohesive strategy to take our team and products to the next phase of growth and scale
Attract, develop, and retain the next generation of Engineering leaders and top talent in North America

What we offer

Flexible vacation time
Great learning and development opportunities
Benefits that help you live your best life
Parental leave and benefits
Volunteering opportunities
Employee Resource Groups (ERGs)
Competitive rewards package
Unparalleled career growth opportunities
Supportive, fun and engaging culture

Fulltime

Staff Software Engineer, Backend (AI Platform)

Cresta is on a mission to turn every customer conversation into a competitive ad...

Location

United States

Salary:

Not provided

Cresta

Expiration Date

Until further notice

Requirements

5+ years writing production software
2+ years focused on ML platform or infra
Expert Python (async, typing, packaging, performance)
Working Golang knowledge for systems components
Proven experience with one or more serving frameworks (e.g., vLLM, Triton, TorchServe)
Kubernetes and cloud-native ops
Solid grasp of distributed systems, networking, and container security
Culture of rigorous testing, code review, and continuous delivery

Job Responsibility

Own model serving: Design, build, and maintain low-latency, highly-available serving stacks for in-house ML model serving and integrating with LLM serving partners
Automate training pipelines: Orchestrate data prep, training, evaluation, and registry workflows on Kubernetes with solid MLOps practices
Optimize at scale: Profile and tune throughput, memory, and cost
introduce caching, sharding, batching, and GPU/CPU autoscaling where it pays off
Build platform primitives: Create reusable SDKs, templates, and CLI tools that let research and product teams ship models independently and safely
Raise the bar: Instrument deep observability (tracing, metrics, alerts), drive blameless post-mortems, and mentor engineers on production ML best practices

What we offer

Comprehensive medical, dental, and vision coverage with plans to fit you and your family
Flexible PTO to take the time you need, when you need it
Paid parental leave for all new parents welcoming a new child
Retirement savings plan to help you plan for the future
Remote work setup budget to help you create a productive home office
Monthly wellness and communication stipend to keep you connected and balanced
In-office meal program and commuter benefits provided for onsite employees

Staff Data Ops Engineer - Platform

Doctolib

Location:
France , Paris

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 17, 2026

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Staff Data Ops Engineer - Platform

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Location:France , Paris

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Job Posted:February 17, 2026

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Job Posted:
February 17, 2026