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data & ml infrastructure engineer

infrastructure engineer

Hadrian

<div>
 
 Are you obsessed with
 
 
 
 building cloud-native platforms
 
 
 
 that enable engineers to operate at internet scale?
 
 
 
 
 Then join us as our new
 
 
 
 Infrastructure Engineer
 
 
 
 and be part of defining the next generation of the Infrastructure platform at
 
 
 
 Hadrian
 
 
 
 !
 
 
 
 
 
 Who are we:
 
 
 
 
 We are
 
 Hadrian
 
 - an
 
 offensive cybersecurity
 
 startup. We are reshaping the future of cybersecurity through the power of agentic AI injected with the hacker&rsquo;s perspective. Founded in August 2021, we've secured funding and the backing of ABN AMRO Ventures and Cherry Ventures, propelling us into a new era.
 
 
 Our goal is to provide companies with an
 
 autonomous Threat Exposure Management
 
 platform. At Hadrian, we view security through a hacker's eyes because hackers understand hackers best. We continuously map the digital footprint of organisations, discover risks, and prioritise remediation for security teams to harden their external attack surfaces.
 
 
 Located in
 
 Amsterdam
 
 's buzzing Leidseplein, by
 
 London
 
 's famous Paddington Station, and our most recent US HQ in the heart of
 
 New York City
 
 , our diverse team from 25+ countries is on a mission to shake things up in offensive security. Join us in making waves and securing over 700 businesses, and be at the forefront of automated offensive security.
 
 
 
 Your role:
 
 
 
 As an
 
 Infrastructure Engineer
 
 at Hadrian, you will design, build, and evolve the cloud-native platform that powers our offensive security operations. You will enable engineering teams to move faster, deploy safely, and operate reliably by creating scalable self-service infrastructure and resilient platform capabilities.
 
 
 This role is ideal for engineers who enjoy combining deep infrastructure expertise with a strong software engineering mindset. We're looking for someone who thrives on automation, reliability, and platform design, and who sees infrastructure as a product that empowers others to do their best work.
 
 
 If you enjoy solving complex distributed systems challenges, building developer-friendly platforms, and creating the foundations that allow autonomous security systems to operate at scale, we would love to hear from you
 
 
 
 
 What you will do as an Infrastructure Engineer at Hadrian:
 
 
 
 
 <ul>
 <li>
 Help build and maintain the cloud-native platform that powers Hadrian's offensive security systems.
 </li>
 <li>
 Design and automate infrastructure delivery using Infrastructure-as-Code, enabling scalable and self-service platform capabilities.
 </li>
 <li>
 Manage and improve our Kubernetes environment, ensuring reliability, performance, and security.
 </li>
 <li>
 Collaborate closely with software engineers to improve deployment workflows, developer experience, and platform adoption.
 </li>
 <li>
 Operate and optimize our core cloud infrastructure on AWS, while supporting our distributed scanning environments.
 </li>
 <li>
 Improve observability, monitoring, incident response, and platform reliability across critical systems.
 </li>
 <li>
 Help implement platform standards, security controls, and engineering best practices that enable teams to move quickly and safely.
 </li>
 <li>
 Take on a unique challenge. We&rsquo;re building autonomous security systems that continuously analyze internet-scale attack surfaces. You'll help create the platform that makes this possible.
 
 
 </li>
 </ul>
 
 
 You are fit for this job because you:
 
 
 
 
 <ul>
 <li>
 Have 3-5 years of experience as an Infrastructure Engineer, Platform Engineer, DevOps Engineer, SRE, or similar role.
 </li>
 <li>
 Have hands-on experience with Kubernetes, AWS, and Terraform (/OpenTofu), and are comfortable operating cloud-native infrastructure in production environments.
 </li>
 <li>
 Are comfortable managing core environments on AWS while extending workloads into secondary cloud environments used for scanning.
 </li>
 <li>
 Have a solid foundation in systems engineering, containerization (Docker), and distributed systems.
 </li>
 <li>
 Are experienced with automation and CI/CD tooling, such as Terraform, Ansible, Jenkins, or GitLab CI.
 </li>
 <li>
 Enjoy building platforms, tooling, and automation that help engineering teams move faster and more safely.
 </li>
 <li>
 Possess strong troubleshooting and problem-solving skills, and enjoy solving reliability, scalability, and operational challenges.
 </li>
 <li>
 Use AI pragmatically to accelerate workflows while maintaining high standards of reliability and security.
 </li>
 <li>
 Communicate clearly and collaborate effectively across technical teams.
 
 
 </li>
 </ul>
 
 
 Bonus points if you have:
 
 
 
 
 <ul>
 <li>
 Experience with KNative, event-driven architectures, or service mesh technologies.
 </li>
 <li>
 Experience with Kafka or other distributed messaging systems.
 </li>
 <li>
 Hands-on experience with observability and monitoring tooling.
 </li>
 <li>
 Familiarity with Site Reliability Engineering (SRE) practices.
 </li>
 <li>
 Certifications related to Kubernetes such as CKA, CKAD, or AWS certifications.
 </li>
 <li>
 Contributions to open-source infrastructure or cloud-native projects.
 
 
 </li>
 </ul>
 
 
 Our Stack:
 
 
 
 
 <ul>
 <li>
 GoLang / Python
 </li>
 <li>
 KNative Serving &amp; Eventing / Kafka / Redis
 </li>
 <li>
 Docker / Kubernetes / Helm Charts
 </li>
 <li>
 Terraform / OpenTofu
 </li>
 <li>
 PostgreSQL / BigQuery
 </li>
 <li>
 AWS / GCP / SCW (plus)
 
 
 </li>
 </ul>
 
 
 Benefits at Hadrian:
 
 
 
 
 <ul>
 <li>
 Permanent contract
 </li>
 <li>
 Unlimited paid holiday
 </li>
 <li>
 Stock options package
 </li>
 <li>
 Mobile phone stipend
 </li>
 <li>
 Work-from-home budget
 </li>
 <li>
 Business travel card
 </li>
 <li>
 Swapfiets
 </li>
 <li>
 Referral bonuses
 
 
 </li>
 </ul>
 
 
 Why you want to be part of Hadrian:
 
 
 
 
 
 Make the internet safer:
 
 We enable companies to protect their customers, employees, and other stakeholders from malicious hackers by providing real-time Exposure Management from the Hacker&rsquo;s perspective
 
 
 
 Board a primed rocket ship:
 
 Hadrian is growing fast; the team is approaching 90 wonderful people, notable customers are signed, and significant funding is raised. Now is the time to join our high-growth journey
 
 
 
 Be part of a strong and dynamic culture:
 
 Our values define who we are as a group and serve as the cornerstones to guide us in building a product that our customers love. At Hadrian, we achieve this by championing a culture that takes ownership, succeeds together, increases velocity, and pursues growth
 
 
 
 
 Sounds like the role for you? Apply now!
 
 
 
 
 
 Our clients are seeking a world-class and reliable digital security service. That is exactly what we are offering. Therefore, a background check will be part of the process.
 
</div>

Infrastructure Engineer

Optics11

<div>
 We are expanding our team with a
 
 Data &amp; ML Infrastructure Engineer
 
 who will take ownership of the platform that enables data ingestion, processing, storage, and machine learning workflows across multiple products. Operating at the intersection of data science, software engineering, and cloud infrastructure, you will build the foundations and ensure that our ML systems are scalable, reproducible, and production ready.
 
 
 In this role, you will design, implement, and continuously improve a cloud-agnostic data and ML platform that supports multiple products and teams. You will be responsible for platform reliability, scalability, and cost-efficiency, while providing data scientists and ML engineers with the tools and infrastructure to efficiently develop, train, validate, and deploy machine learning models. You will serve as a technical bridge between the data science and IT/infrastructure teams, translating requirements into robust and maintainable systems.
 
 
 This role includes ownership of an existing vendor-delivered platform and its evolution into a fully automated, reproducible, and multi-product ML platform.
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Design, implement, and maintain the data and ML platform infrastructure, including systems for data ingestion, storage, processing, and training.
 </li>
 <li>
 Ensure high availability, reliability, and uptime of the platform, as it is critical to the business value proposition.
 </li>
 <li>
 Maintain and evolve vendor-delivered platform components and ensure long-term maintainability and independence.
 </li>
 <li>
 Build and maintain data workflows, including tools for dataset versioning, experiment tracking, and model lifecycle management across multiple products.
 </li>
 <li>
 Enforce DevOps / MLOps practices, including CI/CD pipelines, Infrastructure-as-Code, and automated workflows.
 </li>
 <li>
 Develop cloud-agnostic and containerized solutions that can run across public and private cloud environments within EU constraints.
 </li>
 <li>
 Optimize data storage, lifecycle policies, and cost efficiency, including tiered storage and retention strategies.
 </li>
 <li>
 Implement and maintain monitoring and alerting systems (e.g., Prometheus, Grafana) for pipelines, infrastructure, and resource usage.
 </li>
 <li>
 Ensure data governance, security, and compliance, including access control, audit logging, and anonymization requirements.
 </li>
 <li>
 Collaborate closely with data scientists, ML engineers, and IT teams to deliver infrastructure that meets operational needs.
 </li>
 <li>
 Manage resource and cost controls, including budgets, approvals, and tracking.
 </li>
 <li>
 Contribute to documentation, operational runbooks, and onboarding materials for the platform.
 
 
 
 </li>
 </ul>
 
 Why Join Us?
 
 
 
 <ul>
 <li>
 Join one of Europe&rsquo;s most promising deep-tech scale-ups.
 </li>
 <li>
 Shape the future of a rapidly growing multidisciplinary R&amp;D organization.
 </li>
 <li>
 Competitive salary and benefits package.
 </li>
 <li>
 Enjoy regular team activities and company events.
 </li>
 <li>
 Fresh team lunches provided3 times/ week.
 
 
 
 </li>
 </ul>
 Required Qualifications:
 
 
 <ul>
 <li>
 MSc or equivalent with 5+ years&rsquo; industry experience in Computer Science, Data Engineering, Machine Learning, or a related field.
 </li>
 <li>
 Strong experience with data platforms, cloud infrastructure, and distributed systems (AWS, GCP, Azure).
 </li>
 <li>
 Proven experience with Infrastructure-as-Code (e.g., Terraform) and automated deployments.
 </li>
 <li>
 Experience with ML platforms and tools (MLflow, Feast, DVC, DataHub or equivalent).
 </li>
 <li>
 Experience with AWS Sagemaker or Google Vertex AI platforms.
 </li>
 <li>
 Experience with databases (MongoDB, PostgreSQL, InfluxDB or equivalent).
 </li>
 <li>
 Experience with message brokers and streaming systems (Kafka, RabbitMQ or equivalent).
 </li>
 <li>
 Hands-on experience with containerization (Docker/OCI) and orchestration (Kubernetes or similar).
 </li>
 <li>
 Experience with CI/CD systems (e.g., GitLab CI).
 </li>
 <li>
 Programming skills in Python.
 </li>
 <li>
 Experience with monitoring and observability tools (Prometheus, Grafana).
 </li>
 <li>
 Understanding of DevOps and MLOps practices.
 </li>
 <li>
 Ability to work across teams and translate requirements into scalable infrastructure solutions.
 
 
 
 </li>
 </ul>
 
 Nice to Have:
 
 
 
 <ul>
 <li>
 Knowledge of data governance, IAM, and security frameworks.
 </li>
 <li>
 Experience with cost optimization and resource management in cloud environments.
 </li>
 <li>
 Familiarity with multi-tenant or multi-product platform architectures.
 </li>
 <li>
 Experience working with EU data compliance constraints in energy, maritime or defense.
 
 
 
 </li>
 </ul>
 
 Security &amp; Compliance:
 
 
 
 You'll be working with clients in the defense and security sectors, obtaining a Certificate of No Objection issued by the AIVD (Dutch General Intelligence and Security Service) is mandatory. This means you will need to undergo a security screening. For more information, please refer to details on security screening.
</div>

Data & ML Infrastructure Engineer

Check

<div><h1 class="jobSectionHeader">In a nutshell.</h1>
As our Security Engineer, you make sure our platform, infrastructure and data stay secure as we grow. You identify vulnerabilities before they become problems, and you build the processes and safeguards that keep security top of mind across the entire Product team.
You're on the Product team, contributing your security expertise. This role is for someone who stays sharp on emerging threats and knows how to get engineers to build securely without slowing them down.<h3 class="jobSectionHeader">
Our Tech Stack.</h3>
The iOS application is built 100% with Swift, with a mix of SwiftUI and UIKit. We use REST APIs to connect to our backend. The CI/CD pipelines run using Bitrise.
Android is built natively with Kotlin. Next to the customer application, we have two internally facing applications. One mobile React Native application and one web-based, built in Typescript and Next.JS.
Our backend stack is heavily based around Python, with our main API written in that language, as well as several microservices. For updating our fleet in real-time, we use a microservice which is written in Rust. This is all hosted and managed in-house, by running two Kubernetes clusters with Helm as our package manager.<h1 class="jobSectionHeader">
The role.</h1><ul><li>
Make sure our APIs are secure and that no data is exposed where it shouldn't be.</li><li>
Keep our infrastructure secure, including how we deploy and run software on Kubernetes.</li><li>
Run security audits, penetration tests, and vulnerability assessments across our platform.</li><li>
Work day-to-day with our software engineers, picking up your own tickets and improving security together with the people building the product.</li><li>
Own data governance and make sure we stay GDPR and are legally compliant.</li><li>
Define and maintain security policies and training that apply company-wide.</li><li>
Respond to and lead investigations on security incidents when they occur.</li><li>
Stay on top of emerging threats and vulnerabilities relevant to our stack and industry.</li></ul><h1 class="jobSectionHeader">
Requirements.</h1><ul><li>
HBO or higher in software engineering, computer science, security, or a related field.</li><li>
2+ years of experience in a security engineering or similar role.</li><li>
Hands-on experience with Kubernetes and securing modern cloud infrastructure.</li><li>
Basic knowledge of Python and TypeScript - you don't need to be an expert, but you should be able to read and understand code.</li><li>
Experience with GitHub Actions or similar CI/CD tooling.</li><li>
Experience with databases and SQL.</li><li>
Fluent English; Dutch is a plus.</li></ul><h3 class="jobSectionHeader">
Ready to join the ride?</h3>
If you're excited about staying one step ahead and keeping our platform secure, we'd love to hear from you.</div>

Security Engineer

Sprint and Partners

<div>
 
 
 SRE - Data Platform Engineer - Kubernetes - top 0,5% biggest data set globally
 
 
 
 
 Amsterdam
 
 (Hybrid) - Visa sponsorship and relocation included
 
 
 
 
 
 Building the backbone of data &amp; AI at scale. This is not a &ldquo;keep the lights on&rdquo; role.
 
 
 
 
 
 If you are interested in:
 
 <ul>
 <li>
 Working on systems where failure is not an option
 </li>
 <li>
 A team that values engineering quality over shortcuts
 </li>
 <li>
 Real ownership &mdash; you build it, you run it, you improve it
 </li>
 <li>
 Growth paths in deep technical expertise or leadership
 </li>
 <li>
 A setup where your work has visible, measurable impact
 </li>
 </ul>
 
 
 
 
 Check this out:
 
 
 
 
 
 You&rsquo;ll be building and evolving the core platform that everything depends on&mdash;from data pipelines to machine learning and real-time AI services. Think high-scale Kubernetes, complex distributed systems, and real reliability challenges where your decisions actually matter.
 
 
 
 
 
 If you care about uptime, performance, and engineering systems that don&rsquo;t break under pressure, this is your kind of environment.
 
 
 
 
 
 Why this role stands out for SREs / Platform Engineers
 
 <ul>
 <li>
 Reliability is the product &mdash; not an afterthought
 </li>
 <li>
 Work on real-world scale problems (not toy infra)
 </li>
 <li>
 Balance batch, streaming, and real-time workloads in one platform
 </li>
 <li>
 Tackle non-trivial Kubernetes challenges (scheduling, multi-tenancy, resource isolation)
 </li>
 <li>
 Own systems that directly impact data, ML, and AI products
 </li>
 <li>
 High autonomy, high responsibility, low bureaucracy
 </li>
 </ul>
 
 
 
 
 You&rsquo;re not just supporting engineers &mdash; you&rsquo;re enabling an entire ecosystem.
 
 
 
 
 
 What you&rsquo;ll actually do
 
 <ul>
 <li>
 Build and scale Kubernetes-based platform infrastructure, keeping systems highly available under unpredictable load
 </li>
 <li>
 Drive system reliability, availability, and performance. Preventing resource contention between critical and heavy workloads
 </li>
 <li>
 Building secure, multi-tenant platforms without performance trade-offs
 </li>
 <li>
 Automate everything that shouldn&rsquo;t require human intervention
 </li>
 <li>
 Design solutions for high-throughput, data-heavy workloads. Running GPU-powered and compute-intensive workloads efficiently.
 </li>
 <li>
 Optimize scalability. Scaling storage and networking for massive data volumes. Designing smart autoscaling and cost-efficient infrastructure.
 </li>
 <li>
 Support and unblock internal teams using the platform
 </li>
 <li>
 Continuously improve observability, alerting, and incident response
 </li>
 <li>
 Be part of an on-call rotation where reliability truly matters
 </li>
 </ul>
 
 
 
 
 You:
 
 <ul>
 <li>
 Have solid experience in SRE, Platform, or Infrastructure Engineering for data platforms or big data tooling.
 </li>
 <li>
 Are comfortable with Kubernetes in production environments
 </li>
 <li>
 Understand distributed systems and failure modes
 </li>
 <li>
 Care deeply about reliability, observability, and automation
 </li>
 <li>
 Enjoy solving complex problems rather than following playbooks
 </li>
 <li>
 Exposure to high-performance workloads or GPU environments
 </li>
 </ul>
 
 
 
 
 
 Salary and benefits
 
 
 
 The base salary is between 90K and 150K euro, depending on what you bring to the table in terms of skills, personality and experience.
 
 
 Some of the secondary benefits: a permanent contract, 20% guaranteed bonus in stock, 10K+ personal allowance (can be used as extra salary), healthcare allowance (~2K a year), holiday allowance (8%), holidays, laptop, travel allowance, relocation package for Internationals, training &amp; conferences, 30% ruling, VISA sponsorship, luxury lunch, snacks/drinks, work from home setup, etc.
 
 
 
</div>

SRE - Data Platform Engineer - Kubernetes - top 0,5% biggest data set globally

Xomnia

<div><h3 class="jobSectionHeader">Senior Data Platform Engineer</h3>
At Xomnia, Senior Data Platform Engineers don't just build systems. They define how data platforms evolve. As a Senior Data Platform Engineer, you will set the architectural direction that enables organizations like KLM, Enexis, and Rabobank to operate at the frontier of data and AI. 
 
You build with conviction: shaping standards, steering technical trade-offs, and leaving a lasting mark on both client platforms and the broader engineering culture at Xomnia.<h3 class="jobSectionHeader">
Lead architecture that others build on</h3>
Joining Xomnia means entering a community of over 20 nationalities driven by one shared ambition: using data and AI to solve problems that actually matter. At senior level, that ambition takes on a different weight. You are not just executing, you are setting direction. The Xomnia way rewards engineers who challenge assumptions, share knowledge generously, and raise the bar for everyone around them.
As a Senior Data Platform Engineer, your growth trajectory leans into ownership. You'll drive architectural decisions, act as a trusted technical advisor to clients, and mentor the engineers coming up behind you. Dedicated internal time gives you space to explore new technologies and contribute to the standards that define how Xomnia builds.<h3 class="jobSectionHeader">
What the role looks like in practice</h3>
Your week moves between our Amsterdam HQ on Raamstraat with its canal views, uneven floors, and the kind of Friday design sessions that actually move things forward, client environments, and home. At senior level, you're as likely to be leading a migration architecture discussion as you are optimizing a pipeline that processes millions of records overnight.
Some examples of the type of work we do: a cloud platform overhaul at a.s.r, a data infrastructure project at DAF, and an end-to-end solution at Albert Heijn.<h3 class="jobSectionHeader"> 
What you bring to the table</h3>
You've moved past proving you can build; now you're focused on building the right things, the right way, and bringing others along with you. What we're looking for:<ul><li>
5+ years in data engineering or data-intensive backend systems, with end-to-end ownership of production-grade platforms.</li><li>
You translate technical depth into clear direction for engineers, clients, and stakeholders.</li><li>
Proven experience designing scalable cloud architectures and leading the technical discussions that drive decisions.</li><li>
Deep expertise optimizing pipelines for performance, reliability, and cost, at a scale where it matters.</li><li>
An excellent understanding of technology trade-offs in data platforms specific to a wide range of different use cases.</li><li>
Proficiency with Infrastructure as Code (e.g., Terraform) and CI/CD-driven data workflows.</li><li>
Fluent in English; Dutch is a strong plus.</li><li>
Eligible to work in the Netherlands.</li></ul><h3 class="jobSectionHeader">
What's in it for you?</h3>
Xomnia invests in the people who push things forward. For Senior Data Platform Engineers, that looks like this:<ul><li>
A monthly salary between &euro;5,650 &ndash; &euro;6,800 (based on 40 hours, excluding vacation allowance), plus Stock Appreciation Rights to share in what we're building together.</li><li>
A dedicated &euro;5,000 annual development budget, access to Learning Labs, and real internal influence over how Xomnia engineers.</li><li>
25 vacation days, with the option for unpaid leave or the occasional stint working from abroad.</li><li>
Company trips that range from ski slopes to Jordan, regular canal boat rides, and a Raamstraat office stocked with healthy lunches and a fully loaded bar, every day.</li><li>
A solid pension scheme and flexible working arrangements.</li></ul><h3 class="jobSectionHeader">
Hear it from our engineers!</h3>
All nicely said, right? But what if you hear these words from our Data Engineers themselves? Our consultants Sara and Wesley talk about their role as Data Engineer at Xomnia and explain why working at Xomnia is so lively.<h3 class="jobSectionHeader">
Become a Xomnian!</h3>
At Xomnia, we believe in using data and AI to tackle real-world challenges. With a team of passionate experts from 20+ nationalities and over 30% female representation, we celebrate diversity and welcome different perspectives.
We are proud of our core values: we are challengers, we embrace agility, and we always share. Want to be part of this and take the next step in your career?
Apply now or reach out to vanity.lekkerkerker@xomnia.com We look forward to meeting you.</div>

Senior Data Platform Engineer

Nebius

<div>
 
 
 About Nebius:
 
 
 
 
 
 
 Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
 
 
 
 
 
 Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
 
 
 
 
 
 Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&amp;D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&amp;D.
 
 
 
 
 
 
 The Role
 
 
 
 
 
 
 
 Your responsibilities will include:
 
 
 
 
 
 <ul>
 <li>
 Ensure fault-tolerance, scale, and uninterrupted operations for the service.
 </li>
 <li>
 Use cutting-edge cloud technology to solve a variety of infrastructure problems.
 </li>
 <li>
 Implement and improve CI/CD processes.
 </li>
 </ul>
 
 
 
 
 
 We expect you to have:
 
 
 
 
 
 <ul>
 <li>
 Solid experience with programming languages (like Go, Python, or C++);
 </li>
 <li>
 Solid understanding of classic algorithms and data structures;
 </li>
 <li>
 Commercial experience with and deep understanding of Unix systems and network technology;
 </li>
 <li>
 Experience with systems for containerization and configuration management (Ansible, Salt, Terraform, Docker, K8s, Helm).
 </li>
 </ul>
 
 
 
 
 
 It will be an added bonus if you have:
 
 
 
 
 
 <ul>
 <li>
 Desire to be involved in backend development;
 </li>
 <li>
 Experience designing, developing, and running high-load distributed systems;
 </li>
 <li>
 Commercial experience with a variety of cloud platforms.
 </li>
 </ul>
 
 
 
 
 
 We conduct coding interviews as part of the process.
 
 
 
 
 
 
 
 Benefits &amp; Perks:
 
 
 
 
 
 <ul>
 <li>
 Competitive compensation
 </li>
 <li>
 Career growth and learning opportunities
 </li>
 <li>
 Flexibility and ownership
 </li>
 <li>
 Collaborative and innovative culture
 </li>
 <li>
 Opportunity to work on impactful AI projects
 </li>
 <li>
 International environment and talented teams
 </li>
 </ul>
 
 
 
 
 
 What's it like to work at Nebius:
 
 
 
 
 
 
 Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
 
 
 
 
 
 
 Equal Opportunity Statement:
 
 
 
 
 
 
 Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
 
 
 
 
 
 Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
 
 
 
 
 
 If you need accommodations during the application process, please let us know.
 
</div>

Senior Site Reliability Engineer (SRE)

Workato

<div>
 
 About Workato
 
 
 
 Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato&rsquo;s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
 
 
 
 Why join us?
 
 
 
 Ultimately, Workato believes in fostering a
 
 flexible, trust-oriented culture that empowers everyone to take full ownership of their roles
 
 . We are driven by
 
 innovation
 
 and looking for
 
 team players
 
 who want to actively build our company.
 
 
 But, we also believe in
 
 balancing productivity with self-care
 
 . That&rsquo;s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
 
 
 If this sounds right up your alley, please submit an application. We look forward to getting to know you!
 
 
 
 Also, Feel Free To Check Out Why
 
 
 
 <ul>
 <li>
 Business Insider named us an &ldquo;enterprise startup to bet your career on&rdquo;
 </li>
 <li>
 Forbes&rsquo; Cloud 100 recognized us as one of the top 100 private cloud companies in the world
 </li>
 <li>
 Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
 </li>
 <li>
 Quartz ranked us the #1 best company for remote workers
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 We are looking for a
 
 Staff AI Engineer
 
 to play a key role in building the core of our AI platform. In this position, you will design and develop production-grade systems that power intelligent automation, agentic workflows, and large-scale retrieval services. This is a highly technical, hands-on role that involves close collaboration with product and platform teams to transform advanced AI concepts into reliable, scalable, and secure solutions used across our enterprise ecosystem. You will also be responsible to:
 
 
 <ul>
 <li>
 Design, build, and maintain AI-powered services and APIs, leveraging LLMs (OpenAI, Anthropic, Qwen, OSS models) and custom ML models.
 </li>
 <li>
 Develop an enterprise-grade agentic framework that enables orchestration, retrieval, and collaboration between multiple AI agents.
 </li>
 <li>
 Implement and optimize knowledge retrieval systems and agentic search capabilities using vector databases such as Qdrant and ElasticSearch.
 </li>
 <li>
 Write well-structured, efficient, and testable Python code for production services, experimentation, and internal developer tools.
 </li>
 <li>
 Build and maintain shared Python libraries and SDKs used across multiple applications and microservices.
 </li>
 <li>
 Collaborate with cross-functional teams on architecture, internal protocols, and API standards to ensure consistency and reliability across the platform.
 </li>
 <li>
 Develop and enhance monitoring, validation, and observability for production-grade AI solutions.
 </li>
 <li>
 Drive the full software development lifecycle - from design and implementation to deployment, monitoring, and continuous improvement.
 </li>
 <li>
 Identify and resolve performance bottlenecks, reliability issues, and scaling challenges in complex, data-intensive environments.
 </li>
 <li>
 Participate in code reviews and technical discussions, mentoring other engineers and contributing to a culture of excellence.
 
 
 </li>
 </ul>
 
 Example Projects
 
 
 
 <ul>
 <li>
 Building an evaluation and observability framework for AI model performance and reliability.
 </li>
 <li>
 Developing an agentic orchestration platform that enables collaboration among multiple AI agents and tools.
 </li>
 <li>
 Implementing semantic retrieval and agentic search capabilities over large enterprise knowledge bases.
 </li>
 <li>
 Designing AI services that process and reason over high-volume real-world data at scale.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Qualifications / Experience / Technical Skills
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
 </li>
 <li>
 5+ years of experience as a Software Engineer, with strong proficiency in Python.
 </li>
 <li>
 Proven track record of building and maintaining production-grade systems using Python.
 </li>
 <li>
 Strong understanding of distributed systems, API design, and data-driven architectures.
 </li>
 <li>
 Experience with relational and non-relational databases (PostgreSQL, Elastic, Qdrant, or similar).
 </li>
 <li>
 Familiarity with AI/ML system design, including LLM integration and evaluation pipelines.
 </li>
 <li>
 Knowledge of DevOps and observability practices (CI/CD, monitoring, metrics, and model validation).
 </li>
 <li>
 Python
 </li>
 <li>
 FastAPI
 </li>
 <li>
 LLM APIs (OpenAI, Anthropic, Qwen, OSS)
 </li>
 <li>
 LiteLLM
 </li>
 <li>
 Qdrant
 </li>
 <li>
 PostgreSQL
 </li>
 <li>
 ElasticSearch
 </li>
 <li>
 Langfuse
 </li>
 <li>
 Kubernetes
 </li>
 <li>
 GitHub Actions
 </li>
 <li>
 ArgoCD
 
 
 </li>
 </ul>
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Experience working with multiple LLM providers (OpenAI, Anthropic, Qwen, open-source models).
 </li>
 <li>
 Background in developer platforms or AI infrastructure services.
 </li>
 <li>
 Familiarity with vector databases, semantic retrieval, and knowledge graph architectures.
 </li>
 <li>
 Exposure to Langfuse, LiteLLM, LangChain, or similar frameworks.
 </li>
 <li>
 Experience developing enterprise-scale SaaS or distributed backend systems.
 </li>
 <li>
 Contributions to open-source projects in Python, AI, or infrastructure engineering.
 
 
 </li>
 </ul>
 
 Soft Skills / Personal Characteristics
 
 
 
 <ul>
 <li>
 Excellent communication skills, with the ability to convey complex technical ideas clearly to both technical and non-technical audiences.
 </li>
 <li>
 Collaborative and proactive approach, comfortable working across teams in a dynamic environment.
 </li>
 <li>
 Strong analytical and problem-solving abilities, with a focus on continuous improvement and innovation.
 </li>
 <li>
 Curiosity and a genuine interest in emerging AI technologies and modern backend architectures.
 
 
 </li>
 </ul>
 
 (REQ ID: 2460)
 
</div>

Staff AI Engineer

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