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

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 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

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

Senior Staff Engineer, Hybrid Cloud Fabric

Become a key player in GEICO's tech transformation! We are seeking a Senior or S...

Location

United States , Palo Alto; Dallas; Chevy Chase; Seattle

Salary:

120000.00 - 260000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Service mesh expertise (dev): familiar with mesh architecture, components, and configuration options, including advanced traffic management, security policies, and telemetry customization
Service mesh experience (ops): designed, implemented, and managed service mesh solutions at scale, addressing challenges related to performance, security, and observability
Programming skills: Experience with Go is a must
Rust is a bonus
Linux OS: In-depth knowledge of Linux operating systems, including performance tuning, troubleshooting, and security best practices
Networking: Advanced understanding of networking concepts and tools (e.g., iptables, netfilter, traffic shaping) for analyzing and optimizing service mesh performance within the hybrid cloud environment
Kubernetes and containerization: Extensive experience with Kubernetes and container orchestration platforms, including networking, security, and service management
Microservices architecture: Deep understanding of microservices design patterns, service discovery mechanisms, API gateways, and distributed tracing
Observability and monitoring: Expertise in tools like Prometheus, Grafana, Jaeger, and Kiali to monitor service mesh performance and troubleshoot issues
Security best practices: Knowledge of zero-trust security principles, authentication and authorization mechanisms, and encryption technologies within the context of service mesh

Job Responsibility

Design and implement a robust service mesh architecture, encompassing traffic management, security, observability, and resilience for microservices across public and private clouds within our on-premises data centers
Integrate the service mesh with existing infrastructure and applications, ensuring seamless operation and interoperability with various platforms and technologies, including legacy systems
Establish and enforce service mesh best practices, including security policies, traffic routing rules, circuit breakers, and access control mechanisms, to maintain a secure and reliable application environment
Develop comprehensive monitoring and observability dashboards to provide deep insights into service mesh health, performance, and potential issues, enabling proactive problem identification and resolution
Guide and mentor engineers on service mesh principles and best practices, fostering knowledge sharing and expertise development within the team, empowering them to contribute effectively to the service mesh implementation
Work closely with networking and security teams to ensure secure and efficient integration of the service mesh with on-premises infrastructure and networks, addressing potential challenges and ensuring smooth operation
Partner with SREs to establish service mesh observability, monitoring, and alerting strategies for maintaining high availability and performance, collaborating to define SLOs, SLIs, and error budgets
Actively engage with the Istio community, contribute to open-source projects, and represent GEICO's leadership in service mesh adoption

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

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

Sr. Staff Software Engineer

As a Sr Staff Software Engineer, you will play a key role in the design and impl...

Location

United States , Santa Clara

Salary:

126000.00 - 204500.00 USD / Year

Palo Alto Networks

Expiration Date

Until further notice

Requirements

BS/MS in Computer Science/Engineering with 5+ years or equivalent experience or equivalent military experience required
Hands-on, software engineer implementing massively scalable platforms leveraging cloud technologies and distributed systems
Advanced level programming in Python, GoLang
Experience designing microservices architecture using containerization technologies like Docker or Kubernetes
Proven experience building and maintaining high-scale server-side applications on cloud platforms such as Google Cloud Platform (GCP), Amazon Web Services (AWS), or Microsoft Azure and designing cloud-native solutions
Experience in leading and doing projects end to end
Exposure to using configuration management tools such as Ansible and/or Terraform
Experience with data infrastructure platforms
Hands-on experience with SQL and No-SQL DB technologies such as MySQL, Redis, BigTable, BigQuery
Experience with the queuing system such as RabbitMQ or Kafka or PubSub

Job Responsibility

Bring new ideas to develop security disciplines to solve real-world problems
Design and implement real-time security services to our customers
Establish a clear technical and architectural vision for key projects
Collaborate closely with the product managers, architects and dev-ops to achieve quality releases
Make appropriate trade-offs to optimize time-to-release while maintaining performance and scalability requirements
Play a key role design/re-design by using cloud native solutions
Promote best practices such as design reviews, code reviews, secure coding and performance tuning
Mentoring junior developers

What we offer

Restricted stock units
Bonus
Employee benefits

Fulltime

Staff Software Engineer - Backend

Our team builds the tools and services to manage the lifecycle of configurations...

Location

India , Bangalore

Salary:

Not provided

Uber

Expiration Date

Until further notice

Requirements

10+ years hands on experience in developing highly scalable backend micro-services using technologies such as Java and Go
Experience going through the full software cycle of requirements, design, coding/testing, rollout/deploy standard methodologies in delivering world class software and services
Experience in technical collaboration with other engineers and product managers
Passion about your team's mission and the self-starting personality to make things happen
Proven development experience and proficiency in distributed systems and micro services
Adept at communicating and collaborating effectively with others, promoting your ideas as well as being humble when you may be wrong

Job Responsibility

Collaborates with stakeholders across Eng, Ops, PM teams to design & build the next generation of product configuration stack to support Uber user-facing products
Build large-scale, highly available (four 9s), and low latency systems to help Uber’s Ops and Tech teams launch new products faster and more reliably
Design, implement, and ship reliable and well-tested features to our users
Help define the future of the platform, both technically and product-wise, and in-turn enable Uber to innovate faster
By interacting with users and understanding relevant data, you scope the next big problem to solve
Coach and develop your team members and help them grow

Staff Software Engineer

As a Staff Software Engineer, Test you will play a crucial role in the success o...

Location

United States , Los Angeles

Salary:

180000.00 - 226000.00 USD / Year

BlackLine

Expiration Date

Until further notice

Requirements

Master's degree in Mathematics, Computer Science or related disciplines
10+ years of hands-on experience in Web Application, SaaS, and RESTful API testing
7 or more years of hands-on test automation development, with experience building a test automation suite from the ground up
7 or more years of hands-on working experience in traditional OOP programming languages, specifically C# (with .NET core and NUnit / XUnit / MSTest)
5+ years of solid technical leadership with extensive experience in architecting testing of cloud implementation and migration of complex SaaS product environments
Strong testing experience with cloud native/cloud first applications in a cloud environment such as Google Cloud, AWS and Azure
Expert knowledge in using and managing cloud platforms and cloud native tools
Excellent communication skills and the ability to work well with engineers, product owners, and development managers, as well as other teams across the organization
Experience with Performance test development and Continuous Integration (CI) tools
Strong ownership, pride of work, and ability to take things across the finish line

Job Responsibility

Drive creative and innovative technical concepts to automate workflows from ideation to operational tools that are reusable, maintainable and efficient
Provide thoughtful leadership on the multi-cloud implementation and migration plan of enterprise SaaS application
Design and drive execution on the detailed test strategy on the cloud journey
Identify and assess risks and develop mitigation steps and processes to be put in place for projects, while collaborating on technical designs, dependencies management, and efficacy of valid test data to ensure successful and high-quality deliverables
Consult on automation tools/techniques, feasibility and implementation, process improvements as well as maintenance plans
Execute Quality Engineering (QE) forensics and detailed root cause analysis of test failures, and performance and scalability issues
Provide strong end-to-end leadership in the definition and building of automation frameworks and continued push for providing value
Demonstrable top-quality experience with integration, performance, regression, stress, and acceptance testing with a focus on web applications
Provide strong technical leadership to other QE staff as the QE discipline and team grows, acting as an agent of change for a quality-first culture within the organization
Author high-quality test plans, test cases, and supporting documentation

What we offer

short-term and long-term incentive programs
robust offering of benefit and wellness plans

Fulltime

Select Country

Staff Data Ops Engineer - Platform

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

Looking for more opportunities?