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

Staff Data Product Manager

Plaud is building the next generation intelligence infrastructure and interfaces...

Location

Singapore , Singapore

Salary:

Not provided

Plaud

Expiration Date

Until further notice

Requirements

5+ years of experience as a Data Product Manager, Product Manager (Data/Platform), or equivalent role
Strong understanding of big data ecosystems, such as data warehouses/lakes, ETL/ELT pipelines, streaming, and analytics platforms
Proven experience working with data engineers, platform engineers, and software engineers in complex, multi-team environments
Hands-on experience defining data products such as analytics platforms, experimentation systems, user analytics, or data portals
Strong ability to translate business problems into structured data product requirements
Excellent communication, stakeholder management, and execution skills

Job Responsibility

Own the end-to-end lifecycle of data products, from requirement discovery and product design to delivery and iteration
Define and evolve core data products, including Big Data Portal, A/B testing platforms, user profile, and user journey analytics
Proactively collect and prioritize requirements from stakeholders across product, analytics, user ops, data science, and AI teams
Translate business and analytical needs into clear product roadmaps, PRDs, and delivery plans
Work closely with data platform, data engineering, backend, and front-end teams to ensure smooth execution and on-time delivery
Manage scope, dependencies, and risks across multiple teams and external partners
Define success metrics and continuously improve data quality, usability, and adoption of data products

What we offer

Meaningful Ownership An Employee Stock Ownership Plan (ESOP)
High-Impact Environment
Cutting-Edge AI Tools for Productivity
Best-in-Class Equipment
Team & Culture Annual company offsites, team events
Medical & Insurance Coverage Comprehensive benefits
Medical insurance and WICA coverage for all full-time employees

Fulltime

Senior Engineering Lead - Credit Risk - Senior Vice President

This is a Senior Lead Principal Engineer position responsible for establishing a...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Full-stack developer with 10+ years of experience in designing and developing robust, scalable, and maintainable applications applying Object Oriented Design principles
Hands-on experience in Web technologies (HTML, CSS, React JS), REST-APIs, and Backend using Java/J2EE technologies
Deep experience with Big Data technologies and data platforms capable of handling vast datasets for training, serving, and managing AI models
Strong knowledge of cloud platforms (AWS, Azure, or Google Cloud) and deployment/packaging solutions such as Dockers/Kubernetes, OpenShift
Experience with Agile software development processes with a strong emphasis on test driven development
Strong knowledge of CI/CD pipelines and experience in tools such as JIRA, BlackDuck, SONAR etc
Deep understanding of JVM internals such as class loading and memory management
Java Core with extensive hands-on experience with concurrent programming
Spring Framework including Core, Integration, Batch, JDBC, Hibernate
Distributed Caching frameworks such as Oracle Coherence, Redis or equivalent

Job Responsibility

Provide technical leadership and development oversight to the wider team of Software Engineers/Analysts
Ensure application design adheres to the appropriate architectural and design patterns for scalable and intelligent systems
Develop key software components personally, and use your code as a teaching tool across the team for patterns and techniques, especially concerning Agentic AI design and implementation
Host sessions for design and code review at multiple levels of the organization
Improve our engineering standards and process to make the team more capable and efficient, embracing AI-assisted development practices, including the use of tools like Git Copilot and Devin AI
Collaborate effectively with a large global team of software engineers, business analysts, dev-ops and support staff to deliver software solutions for the business
Lead the adoption of new technologies where appropriate to solve business problems while adhering to Citi's architectural guidelines, with a strong focus on Agentic AI and Machine Learning frameworks
Serve as advisor or coach to mid-level/junior developers and analysts, helping build the overall engineering capabilities of the team, particularly in AI/ML and intelligent systems development
Appropriately assess risk when decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency

Fulltime

New

Senior Director, Engineering – Hotel Ops

Senior Director, Engineering – Hotel Operations is a senior technology leader re...

Location

United States , Bethesda

Salary:

145600.00 - 251900.00 USD / Year

Marriott Bonvoy

Expiration Date

June 04, 2026

Requirements

12+ years of application architecture and engineering leadership experience, including: Direct experience leading technology teams responsible for hotel operations platforms, PMS ecosystems, or mission-critical operational systems supporting frontline hotel staff
Direct experience delivering and modernizing large-scale, highly available operational platforms that support 24x7 global business operations
Demonstrated experience in Agile development methodologies, specifically with large-scale initiatives and geographically distributed teams
Demonstrated experience leading large-scale engineering organizations (50+ members) with direct responsibility for hiring, mentoring, and developing engineering talent, including managers and directors
Direct management of cross-functional, sourced, and matrixed teams
Management of complex budgets in excess of $25-50M direct and indirect costs
Demonstrated thought leadership commensurate with the scale of Marriott Bonvoy Program
Demonstrated experience with large scale data transformations and on-premise PMS platforms
Demonstrated enterprise technology leadership experience in hospitality, travel or retail industry
Experience in building partnerships with external technology vendors and service providers

Job Responsibility

Define, lead, and execute the engineering vision for hotel operational platforms and on-property technology ecosystems
Oversee the full lifecycle of hotel operations engineering, from platform strategy and architecture through implementation, deployment, and ongoing optimization
Partner closely with hotel operations, brand teams, product, infrastructure, security, vendors, and regional technology leaders
Drive standardization, automation, and continuous improvement
Lead Large-Scale Transformation from Mainframe to Cloud-Based SaaS Platform
Develop a comprehensive strategy and multi-year roadmap to transition the existing Marriott based infrastructure interface platform to a modern, scalable, cloud-based Software as a Service (SaaS) architecture
Oversee the design and architecture of the new cloud-based platform
Lead the evaluation, selection, and onboarding of cloud service providers and SaaS platform vendors
Oversee the migration of data from legacy mainframe systems to the new cloud-based platform
Implement robust security controls, data protection measures, and compliance protocols

What we offer

401(k) plan
stock purchase plan
discounts at Marriott properties
commuter benefits
employee assistance plan
childcare discounts
medical
dental
vision
health care flexible spending account

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

Staff II Software Engineer AI/ML Ops

We're looking for a Lead Data Engineer to design, build, and optimize data pipel...

Location

United States , Pleasanton

Salary:

245000.00 - 307000.00 USD / Year

BlackLine

Expiration Date

Until further notice

Requirements

Strong programming skills in languages such as Python, Java, or Scala
Expertise in ML frameworks (TensorFlow, PyTorch, scikit-learn) and orchestration tools (Airflow, Kubeflow, Vertex AI, MLflow)
Proven experience operating production pipelines for ML and LLM-based systems across cloud ecosystems (GCP, AWS, Azure)
Deep familiarity with LangChain, LangGraph, ADK or similar agentic system runtime management
Strong competencies in CI/CD, IaC, and DevSecOps pipelines integrating testing, compliance, and deployment automation
Hands-on with observability stacks (Prometheus, Grafana, Newrelic) for model and agent performance tracking
Understanding of governance frameworks for Responsible AI, auditability, and cost metering across training and inference workloads
Proficiency in containerization technologies (e.g., Docker, Kubernetes)
Proficient in scripting languages (e.g., Bash, python) for automation
Experience with workflow orchestration tools (e.g., Apache Airflow)

Job Responsibility

Lead data pipeline development: Build and maintain PySpark ETL pipelines with high data quality and performance
Manage integrations: Establish robust connections to client data sources via APIs and tools like FiveTran, Plaid, and BlackLine's own internal connector ecosystem
Ensure reliability: Monitor pipeline performance, automate testing, and validate data accuracy
Optimize for scale: Implement performance improvements (e.g., CDC mechanisms, indexing strategies) for large-scale datasets
Collaborate & innovate: Work with business stakeholders to refine data requirements and integrate cutting-edge AI and big data technologies
Partner with data science, security, and product teams to set evaluation and governance standards (Guardrails, Bias, Drift, Latency SLAs)
Mentor senior engineers and drive design reviews for ML pipelines, model registries, and agentic runtime environments
Lead incident response and reliability strategies for ML/AI systems
Collaborate with development teams to integrate AI solutions into existing workflows and applications
Ensure seamless integration with different platforms and technologies

What we offer

Short-term and long-term incentive programs
Robust offering of benefit and wellness plans

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

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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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Our AI answers in your language

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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Location:
France , Paris

Category:
IT - Software Development

Contract Type:
Not provided

Job Posted:
February 17, 2026