Role & Team

As a Data Engineering Manager, you will lead across several cross-functional teams, managing up to ~10 data engineers and GIS specialists. You will support teams working on data processing and pipelines to enable ML-powered product capabilities.

Our product teams are cross functional and will typically include product managers, designers, engineers and subject matter experts relating to the team’s domain.

You will be accountable for the technical direction and delivery outcomes of your area. You will challenge your teams to pursue ambitious goals while providing a high level of support — growing engineering talent and fostering a highly collaborative, team-based environment where people can do great work.

Your primary focus will be on building high-performing teams and driving results through others. You will not be expected to spend significant time doing hands-on coding; however, you will be expected to dive deep technically when required and leverage your experience to support strong technical decision-making.

Time zone requirement: Europe (GMT/WET, CET, EET) and Eastern North America (NST, AST, EST)

What You'll Do

• Enable our data engineers to become highly productive members of their cross-functional teams, empowering them to ship high-quality, reliable data platforms and pipelines on a daily basis.
• Grow the teams by attracting great talent from your network.
• Foster an inclusive and caring culture where everyone can do their best work.
• Provide regular 1:1 coaching and feedback to tap into the potential of all your team members and help them thrive and reach their aspirations.
• Be a strategic partner to product managers, machine learning engineers, and other stakeholders within your domains and ensure that we are making the correct data architecture and platform decisions that balance short and long term goals.
• Ensure suitability of the data architecture, pipelines, and data models within your domains to enable longer term product, analytics, and machine learning goals.
• Work closely with the other Product & Engineering leaders on strategy, technology and people, including improving our data engineering practices and introducing capabilities that can accelerate data access, reliability, and unlock new product and data-driven opportunities

Skills & Experience

• Experience working in a high growth scaleup environment
• Passionate about climate
• Product minded and able to demonstrate significant impact you have had on a business through the application of data platforms and data-driven systems
• 2+ years experience leading and managing data engineers across multiple teams
• Experience working with the following (or similar) technologies: Python, SQL, data pipeline orchestration tools (e.g., Airflow, Dagster), data warehouses/lakehouses, Postgres DB, data pipelines
• Ability to unblock your team by contributing at a senior engineering level (e.g., reviewing data models, debugging pipelines, guiding architecture). How hands-on you'll be in this role will depend on team size and maturity
• Comfortable working in a build it, run it environment (GCP, cloud run, grafana, k8s) - or similar, with an understanding of data reliability, observability, and pipeline operations
• Strong leadership skills with the ability to mentor and coach engineers at all levels
• Excellent communication skills and ability to collaborate effectively in a cross-functional team environment
• Passion for learning and staying updated with evolving technologies and industry trends, particularly in data engineering and data infrastructure

Nice To Have

• Experience working with maps/imagery/geospatial domains  

Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.

What We Offer

• Competitive, location-specific compensation and benefits 
• Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
• Home office stipend, coworking and ongoing education budgets 
• A company culture that genuinely embodies each of our core values
• To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis

At Guerrilla, we believe that our team’s varied backgrounds, experiences, and perspectives help us create games that resonate with a diverse audience.

As an equal opportunities employer, we strive to create an inclusive environment, empower employees and embrace diversity.

We encourage everyone to respond as we consider all candidates on the basis of their merit, unique strengths, and perspectives they will bring to the role.

Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. 

Role 

We are looking for a Sr. Staff Software Development Engineer to join our team. This is a fully remote role based in the Netherlands, reporting to the Senior Manager, Software Development Engineering within the Zero Trust Exchange department. In this pivotal role, you will work on the design and building of shared platform services aimed at making Zscaler’s global infrastructure cloud-agnostic. You will work at the heart of our distributed systems, building robust microservices that empower product teams to deploy seamlessly without direct dependencies on public cloud providers.

What you’ll do (Role Expectations)

• Build cloud-agnostic shared services to decouple product deployments from public cloud provider dependencies
• Engineer high-scale distributed systems and microservices that serve as shared infrastructure for global engineering teams
• Produce high-quality technical artifacts, including detailed architectural diagrams, system designs, and developer documentation
• Implement robust data and messaging solutions leveraging hands-on experience with PostgreSQL, Kafka, Redis, and Druid
• Drive operational excellence by collaborating with architects on service design and participating in full-lifecycle on-call rotations

Who You Are (Success Profile)

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• You are a learner. You have a true growth mindset and never stop developing yourself, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.
• You are driven by innovation. You have a deep curiosity for how things work and are energized by solving complex technical challenges. You believe in the power of technology to accelerate transformation and are always looking for a better, more secure, and scalable way.
• You are a pragmatic builder. You are obsessed with creating, iterating, and shipping. You aren't afraid to roll up your sleeves and build the first version yourself, balancing the drive for technical excellence with the need to deliver value to users quickly.
• You think at scale. You connect your day-to-day work to the larger company mission and think globally. You build solutions, processes, and teams that are not just effective today but are built to last and support a high-growth, global organization.

What We’re Looking for (Minimum Qualifications)

• 10+ years in software engineering with 3+ years in a Staff or Lead role on large-scale distributed systems
• Proficiency in Java and Go for building production-grade microservices in a Linux environment
• Hands-on experience with Kubernetes and the operational management of containerized services
• Deep expertise in datastores and messaging, including PostgreSQL, MySQL, Kafka, and Redis
• Strong technical documentation skills, with a focus on architecture, system design, and diagrams

What Will Make You Stand Out (Preferred Qualifications)

• Database-savvy engineer with a deep interest in both application-level integration and the internal mechanics of database engines
• Experience in cloud-abstraction projects to decouple application logic from proprietary cloud provider APIs
• Advanced debugging skills for root cause analysis of bottlenecks in distributed systems

#LI-REMOTE
#LI-MM8

Location
Our Global Payroll Operations Manager will be an integral part of our Finance team in EMEA. This role is based remotely in the UK, Ireland, Spain, Sweden or Estonia.

Who we are
DoiT is a global technology company that works with cloud-driven organizations to leverage the cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state - from planning to production.
Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency.
With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide.

The Opportunity
We are seeking a highly skilled and experienced Global Payroll Operations Manager to join our finance team.

Responsibilities

• Manage end-to-end global payroll operations, oversee workstreams & schedule to ensure the timely preparation of payroll information, across more than 15 countries in which DoiT operates
• Payroll forecasting and reporting, including preparation and analysis for financial reporting and ad-hoc requests; while ensuring accuracy of information and proper presentation
• Balance & reconcile to financial general ledger
• Track & report on bonus & severance accruals
• Procure new vendors and manage existing relationships for Payroll systems, establishing SLAs & KPIs to ensure service delivery and drive efficiency
• Responsible for tax compliance including the filing of quarterly and annual payroll tax reports, filing amended reports and complying with business registrations.
• Manage employee experience as it relates to our ESOP program and exercise process. Support system implementation of new equity management tool(s) when the time comes 
• Provide a world class service model for employees
• Lead special projects as they pertain to payroll operations & compliance
• Lead enrolment projects to pension and insurances for employees
• Point of contact for contractors costs, invoices and Q&A
• Payroll innovation and ongoing process improvements.

Qualifications

• 7+  years of experience specific to Payroll with Global payroll exposure
• Knowledge or experience with US, EMEA and other international payroll process - preferred
• Knowledge of leading payroll across multiple geographies with a high level of local needs
• Experience with an HRIS systems along with advanced spreadsheet skills
• Extremely data-driven and can drive big picture to the ground level
• Strong Project Management skills and attention to details is a must.
• Strong understanding of interdependencies with cross functional stakeholders (equity, tax, accounting, FP&A, legal, compensation, benefits)
• Excellent prioritization skills: Ability to work in a dynamic, rapidly-changing environment by prioritizing situations which require a sense of urgency
• Comfort with ambiguity and ability to use sound judgment to drive complex issues to resolution and influence to achieve results
• A bachelor's degree in accounting, finance, or a related field and relevant experience in a similar role. A master's degree in business administration - Advantage

Bonus Points 

• A bachelor's degree in accounting, finance, or a related field and relevant experience in a similar role. 
• A master's degree in business administration - Advantage

Are you a Do’er?
Be your truest self. Work on your terms. Make a difference.
We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally. 
What does being a Do’er mean? We’re all about being entrepreneurial, pursuing knowledge and having fun! Click here to learn more about our core values.

Sounds too good to be true? Check out our Glassdoor Page
We thought so too, but we’re here and happy we hit that ‘apply’ button. 

• Unlimited Vacation
• Flexible Working Options
• Health Insurance
• Parental Leave
• Employee Stock Option Plan
• Home Office Allowance
• Professional Development Stipend 
• Peer Recognition Program

Many Do’ers, One Team
DoiT unites as Many Do’ers, One Team, where diversity is more than a goal—it's our strength. We actively cultivate an inclusive, equitable workplace, recognizing that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success.

#LI-Remote

The role

Nebius seeks a Key Customers Solutions Architect to support key and strategic Nebius GPU Cloud services customers. In this role, you will be a trusted technical advisor, helping clients design, deploy, and scale AI solutions while managing large-scale GPU workloads involving hundreds to thousands of GPUs. You will also collaborate with sales and product teams to drive growth and enhance customer satisfaction.

You’re welcome to work remotely from Europe.

Your responsibilities will include: 

• Serve as the primary technical point of contact, troubleshooting and resolving complex AI/ML.
• Guide customers in optimizing GPU performance for ML training and inference workloads, ensuring seamless integration and scalability.
• Partner with the sales team to identify new opportunities, promote the latest products, and deliver technical presentations.
• Act as a bridge to product teams, providing customer feedback, relaying feature requests, and ensuring alignment with customer requirements.
• Engage with internal and external stakeholders, negotiate solutions, and effectively drive alignment to address customer challenges.

We expect you to have:

• Experience: 5 - 10 + years in roles like Cloud Solutions Architect, Technical Account Manager, or Customer Engineer, with hands-on experience in cloud services and AI/ML workloads.
• Proficiency in Infrastructure as Code (IaC) tools like Terraform and Ansible.
• Experience with Kubernetes and Python programming.
• Solid understanding of GPU computing, including ML training, inference workloads, and GPU stacks (e.g., CUDA, OpenCL).
• Customer-centric approach with a proven ability to build trust and foster long-term relationships.
• Strong ability to explain technical concepts to technical and non-technical audiences.

It will be an added bonus if you have:

• Hands-on experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow).
• Experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
• Familiarity with ML tools from NVIDIA, AWS, Azure, and Google Cloud providers.
• Strong project management skills, with the ability to prioritize tasks and deliver on deadlines.
• Proven experience mentoring technical teams and driving team growth.
• Expertise in stakeholder negotiation to support problem resolution and ensure seamless collaboration.

Token Factory is a part of  Nebius Cloud, one of the world’s largest GPU clouds, running tens of thousands of GPUs. We are building an inference platform that makes every kind of foundation model — text, vision, audio, and emerging multimodal architectures — fast, reliable, and effortless to deploy at massive scale. To deliver on that promise, we need an engineer who can make the platform behave flawlessly under extreme load and recover gracefully when the unexpected happens.

In this role you will own the reliability, performance, and observability of the entire inference stack. Your day starts with designing and refining telemetry pipelines — metrics, logs, and traces that turn hundreds of terabytes of signal into clear, actionable insight. From there you might tune Kubernetes autoscalers to squeeze more efficiency out of GPUs, craft Terraform modules that bake resilience into every new cluster, or harden our request-routing and retry logic so even transient failures go unnoticed by users. When incidents do arise, you’ll rely on the automation and runbooks you helped create to detect, isolate, and remediate problems in minutes, then drive the post-mortem culture that prevents recurrence. All of this effort points toward a single goal: scaling the platform smoothly while hitting aggressive cost and reliability targets.

Success in the role calls for deep fluency with Kubernetes, Prometheus, Grafana, Terraform, and the craft of infrastructure-as-code. You script comfortably in Python or Bash, understand the nuances of alert design and SLOs for high-throughput APIs, and have spent enough time in production to know how distributed back-ends fail in the real world. Experience shepherding GPU-heavy workloads — whether with vLLM, Triton, Ray, or another accelerator stack — will serve you well, as will a background in MLOps or model-hosting platforms. Above all, you care about building self-healing systems, thrive on debugging performance from kernel to application layer, and enjoy collaborating with software engineers to turn reliability into a feature users never have to think about.

If the idea of safeguarding the infrastructure that powers tomorrow’s multimodal AI energizes you, we’d love to hear your story.

The role

The Compute Node team builds services for managing Virtual Machines running on GPU servers, integrating with disk management, virtual and InfiniBand networks. The team is also responsible for developing the Virtual Machine Scheduler that operates across clusters with thousands of servers and tens of thousands of GPUs, spanning multiple data centers in several regions.

We expect you to have: 

1. Containerization & Orchestration

• Experience with Kubernetes not only for deployment but for development is highly valued.

2. Virtualization

• KubeVirt and QEMU/KVM familiarity is a high plus.

3. Linux & System-level Understanding

• Solid knowledge of internal OS architecture, performance considerations, process isolation and resource management.

• Knowledge of POSIX, sysfs, system calls, and file systems.

• Familiarity with server architecture, PCIe devices, NICs, and kernel drivers.

4. Hardware Acceleration

• Experience or strong interest in working with GPUs, DPUs, or ARM architectures is desirable.

• Familiarity with the NVIDIA DOCA Software Framework will be an advantage.

5. Go, C++ Proficiency

• Knowledge of at least one of these languages, ready to learn or work with the others as needed.

• Strong grasp of concurrency, debugging, and profiling techniques.

We conduct coding interviews as part of the process.

The role

We’re looking for a Senior Backend Software Engineer to help develop our hyperscaling platform.
We have a lot of tasks on Golang and little less on Java and Python.
You’re welcome to work from our office in Prague or in Amsterdam, hybrid or remotely. 

In this position, your responsibility will be to:
Developing fault-tolerant, reliable cloud services: cloud infrastructure, managed databases, managed Kubernetes, billing, monitoring systems, ML service and more.

We expect you to have:

• 5+ years of professional software engineering experience
• Excellent knowledge of Golang or you are ready to quickly switch to this programming language
• Ability to write reliable code and dig into complex problems
• Teamwork-oriented approach

It would be an added bonus if you had:

• Experience designing high-load and scaling services

We conduct coding interviews as part of the process.

• Build prototypes and demos across the product portfolio — serverless inference, databases, MLflow, MLOps, and vertical use cases in Physical AI and HCLS — that become assets for sales, product, and engineering teams
• Support new customers hands-on through POC design, technical onboarding, and validation; act as the bridge between their ML team and the platform during the critical first months
• Go deep on emerging applied AI — new training techniques, inference optimizations, agentic architectures, new frameworks — and turn findings into working prototypes, writeups, and product recommendations
• Feed the product roadmap with specific, grounded feedback; be the voice of "here's what broke in three customer POCs last month and here's what needs to change"
• Develop reusable technical assets — notebooks, reference architectures, benchmark results — that reduce onboarding friction at scale

• You've fine-tuned large models, debugged distributed training jobs, built production RAG or agentic pipelines, and optimized inference on GPU infrastructure — not just read about it
• You're fluent in the modern ML stack: PyTorch, HuggingFace, CUDA fundamentals, Kubernetes for ML, MLflow or equivalent, vector databases
• You've worked with enterprise ML teams — whether as a solutions engineer, customer engineer, or an ML engineer who collaborated closely with customers
• You read papers and implement them — not for credit, but because it's how you stay sharp
• You communicate with calibration: you can explain activation checkpointing tradeoffs to an ML engineer in the morning and the cost implication to a CTO in the afternoon

• Experience in any of our vertical domains: Physical AI / robotics / simulation, HCLS (drug discovery, medical imaging, clinical NLP), or enterprise AI application development
• Familiarity with MLOps at scale (Kubeflow, Metaflow, Argo, Ray)
• Prior work at a cloud provider or AI infrastructure company
• You've shared technical work publicly — notebooks, talks, blog posts that people actually use

• Competitive salary and comprehensive benefits package.
• Opportunities for professional growth within Nebius.
• Flexible working arrangements.
• A dynamic and collaborative work environment that values initiative and innovation.

The role 

We are seeking a highly skilled Systems Engineer (Cloudmeter) to join our team to support benchmarking of GPU platforms for machine learning and AI workloads. You will play a critical role in evaluating the performance of GPU-based hardware for various deep learning and AI frameworks, enabling data-driven decisions for platform optimization and next-generation hardware development.

In this position, your responsibility will be to:

• Work closely with hardware, development teams to profile and analyze GPU performance at the system and kernel level.
• Evaluate and compare GPU performance across different platforms, architectures, and software stacks (e.g., CUDA, ROCm).
• Perform acceptance testing for new GPU clusters, ensuring hardware and software meet performance, stability, and compatibility requirements for AI workloads.
• Perform experiments across diverse GPU system configurations to assess the impact of varying interconnect strategies and system-level optimizations on performance and scalability.

We expect you to have:

• Proficient in Unix/Linux, plus Python and Bash for automation.
• Good understanding of the GPU stack: CUDA,NCCL, drivers, and relevant libraries
• Proven ability to troubleshoot complex system issues including hardware, software, and networking problems.
• Familiarity with containerized environments (e.g., Docker, Kubernetes).

Ways to stand out from the crowd:

• Experience with modern deep learning frameworks (PyTorch, JAX, vLLM, Tensort-LLM)
• Experience with job schedulers and resource managers (Slurm, Volcano, etc.).

Summary:

Location: Amsterdam
Duration: 3 months
Start date: June 2026 
Compensation: Paid
Eligibility: Current University student (Computer Science or related field), Recent Graduate or Early Career specialist
Work authorization: Permitted to work in the job’s location

Why work at Nebius
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.

Where we work
Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1400+ employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.

Your responsibilities will include

• Operation:
  • assist, where possible in day-to-day SRE operations tasks in NetInfra
  • deploy tested and approved changes following clear instructions
• Project work:
  • execute small and well-defined tasks from the backlog
  • together or instead: work on small and well-defined SRE project from backlog
  • create tests for their changes/project (if applicable)
  • write technical documentation about their work
  • track and update Jira tasks according to their progress
• Learning and growth:
  • actively study network and system fundamentals: Ethernet and ip networks, routing, Linux Kernel, eBPF, traffic control, ipvs, dpdk
  • learn internal tools, workflows and operational standards
  • learn container and platform fundamentals: Kubernetes (core architecture and networking), Helm, Terraform
  • learn configuration management and automation basics

• demonstrate strong interest and foundational knowledge in cloud providers, operations, networking, hardware, and software
• programming experience in any of Python, Go or C++
• basic understanding of the Network (ethernet, ip, tcp/udp, routing fundamentals)
• familiarity with Git
• basic understanding of containers, Kubernetes and IAC (Infra As Code) approach

What we offer

• Competitive salary and comprehensive benefits package
• Mentorship from experienced AI, ML, and cloud infrastructure professionals
• Hands-on experience with real customer workloads and production systems
• Opportunities for professional growth within Nebius
• A dynamic and collaborative work environment that values initiative and innovation
• Opportunity to be considered for a full-time role after the Early Talent Program

We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!

The role

We are looking for a Customer Engineer to support key and strategic Nebius GPU Cloud services customers. In this role, you will be a trusted technical advisor, helping clients design, deploy, and scale AI solutions while managing large-scale GPU workloads involving hundreds to thousands of GPUs. You will also collaborate with sales and product teams to drive growth and enhance customer satisfaction.

You’re welcome to work remotely from Europe.

Your responsibilities will include:

• Serve as the primary technical point of contact for troubleshooting and resolving complex AI/ML issues.
• Guide customers in optimizing GPU performance for ML training and inference workloads, ensuring seamless integration and scalability.
• Partner with the sales team to identify new opportunities, promote the latest products, and deliver technical presentations.
• Act as a bridge to product teams, providing customer feedback, relaying feature requests, and ensuring alignment with customer requirements.
• Engage with internal and external stakeholders, negotiate solutions, and effectively drive alignment to address customer challenges.

We expect you to have:

• Experience: 5+ years in roles like Solutions Architect, Technical Account Manager, or Customer Engineer, with hands-on experience in cloud services and AI/ML workloads.
• Proficiency in Infrastructure as Code (IaC) tools like Terraform and Ansible.
• Experience with Kubernetes and Python programming.
• Solid understanding of GPU computing, including ML training, inference workloads, and GPU stacks (e.g., CUDA, OpenCL).
• Customer-centric approach with a proven ability to build trust and foster long-term relationships.
• Strong ability to explain technical concepts to technical and non-technical audiences.

It will be an added bonus if you have:

• Hands-on experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow).
• Experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
• Familiarity with ML tools from NVIDIA, AWS, Azure, and Google Cloud providers.
• Strong project management skills, with the ability to prioritize tasks and deliver on deadlines.
• Proven experience mentoring technical teams and driving team growth.
• Expertise in stakeholder negotiation to support problem resolution and ensure seamless collaboration.

The role

We’re looking for a Senior HPC Cluster Engineer to join our team and play a key role in the development of our cutting-edge hyperscaler platform. The GPU & InfiniBand team is responsible for enhancing and optimizing the core components of our Cloud platform, with a specific focus on GPU computing, InfiniBand networks, and the KVM/QEMU stack. You’ll work closely with hardware virtualization and device emulation technologies, ensuring high performance and security in multi-GPU, HPC environments. The role involves analyzing, troubleshooting, and improving infrastructure to support new hardware, fine-tuning system performance, and automating fault detection and resolution in a complex system.

In this position, you will be responsible for:

• Tuning the performance of GPU clusters and InfiniBand networks to ensure optimal operation in HPC and GPU-based environments.

• Analyzing and troubleshooting the root cause of issues related to GPUs and InfiniBand networks, and proposing corrective actions.

• Integrating new hardware into the existing infrastructure, including support for new GPU hardware through software stacks like Kubernetes, QEMU, and KVM.

• Enhancing automation systems for proactive monitoring, detecting, and resolving issues in GPU and InfiniBand environments.

• Configuring and managing GPU devices and InfiniBand fabrics, ensuring efficient and reliable operation.
  

We expect you to have:

• 5+ years of professional experience in system-level software development (focused on performance optimization, low-level programming).

• 3+ years of hands-on experience with Linux systems (administration, troubleshooting, and performance tuning).

• In-depth understanding of server architecture, including PCIe devices, NICs, Linux OS/Kernel, and high-performance computing (HPC) systems.

• Strong proficiency in one or more performance-oriented programming languages (C/C++, Go, Python).

It would be a plus if you have:

• Experience with GPU end-to-end testing in a cluster environment using InfiniBand networking.

• Proven track record of analyzing and optimizing the performance of HPC workloads (e.g., simulations, data analysis, AI/ML workloads).

• Familiarity with RDMA, RoCE, and InfiniBand protocols for high-performance communication.

• Background in Software-Defined Networking (SDN) and experience with HPC cluster networking.

• Understanding of QEMU/KVM virtualization and managing virtualized environments.

• Experience with deep learning frameworks such as PyTorch and TensorFlow, and their integration with HPC systems.

• Familiarity with collective communication libraries like MPI and NCCL for distributed computing. 

We conduct coding interviews as part of the process.

The role

At Nebius, we’re building a next-generation AI compute platform for large-scale ML training and inference — from a few nodes to thousands of GPUs.
We’re looking for a Technical Product Manager to own product direction for Soperator — our Slurm-on-Kubernetes control plane for GPU clusters.
In this role, you will shape how ML engineers and research teams run, scale, and optimize distributed workloads in production.
If you care about systems that combine performance, reliability, and developer experience at the frontier of AI infrastructure, this role is for you.

Your responsibilities will include: 

• Own the full user journey across Soperator clusters: Slurm workflows, dashboards, alerts/notifications, node lifecycle, and training/inference capacity management.
• Define product direction end-to-end: problem discovery → solution design → delivery → adoption.
• Lead deep customer discovery through interviews, usage analytics, and workload analysis to uncover high-impact opportunities.
• Drive execution across platform teams: compute, networking, storage, observability, IAM and etc.
• Translate frontier ML and infrastructure ideas into practical product capabilities for real-world GPU clusters.
• Define success metrics, prioritize roadmap decisions with data, and ensure measurable customer/business impact.
• Lead the open-source strategy and execution for Soperator: shape public roadmap themes, prioritize OSS-facing capabilities, and ensure strong adoption in the community.  

We expect you to have: 

• 3–5+ years in Product Management, ML infrastructure/MLOps, distributed systems, or cloud platform engineering.
• Strong technical depth in distributed systems, cloud infrastructure, or ML platforms.
• Hands-on familiarity with large-scale ML training and orchestration tools (e.g., Slurm, Kubernetes, Ray).
• Track record of shipping technically complex products with multiple engineering teams.
• Strong communication and stakeholder management across engineering, research, and customers.
• Experience with product analytics, data-informed prioritization, and experimentation.
• High ownership, high learning velocity, and comfort operating in fast-moving AI infrastructure environments.

It will be an added bonus if you have: 

• Experience with GPU platforms and HPC primitives: InfiniBand/RDMA, topology-aware scheduling, high-throughput storage.
• Practical understanding of modern ML training stacks: PyTorch, DeepSpeed, FSDP/ZeRO, NCCL.
• Familiarity with efficiency and reliability metrics: Goodput, MFU, failure modes, preemption handling, health checks.
• Exposure to large-scale LLM training/inference systems.
• Experience in observability, performance tuning, or SRE/reliability engineering.
• Customer-facing technical experience (solutioning, support, architecture advisory).

About Nebius

Nebius AI is an AI cloud platform with one of the largest GPU capacities in Europe. Launched in November 2023, the Nebius AI platform provides high-end, training-optimized infrastructure for AI practitioners. As an NVIDIA preferred cloud service provider, Nebius AI offers a variety of NVIDIA GPUs for training and inference, as well as a set of tools for efficient multi-node training. 

Nebius AI owns a data center in Finland, built from the ground up by the company’s R&D team and showcasing our commitment to sustainability. The data center is home to ISEG, the most powerful commercially available supercomputer in Europe and the 16th most powerful globally (Top 500 list, November 2023).  

Nebius’s headquarters are in Amsterdam, Netherlands, with teams working out of R&D hubs across Europe and the Middle East. 

Nebius AI is built with the talent of more than 500 highly skilled engineers with a proven track record in developing sophisticated cloud and ML solutions and designing cutting-edge hardware. This allows all the layers of the Nebius AI cloud – from hardware to UI – to be built in-house, distictly differentiating Nebius AI from the majority of specialized clouds: Nebius customers get a true hyperscaler-cloud experience tailored for AI practitioners. We’re growing and expanding our products every day. 

Nebius Managed Kubernetes (mk8s) mission is to grow the Nebius cloud platform by providing a Kubernetes-native way to run AI systems with high efficiency and low operational overhead.
With a single click, it provides a Kubernetes cluster on top of Nebius services for compute (VMs) and networking.
In 2026, the service is scaling 10× and is expected to manage customer workloads across tens of thousands of GPU servers in more than 10 data centers.

You will lead the mk8s Core team, one of three mk8s teams. The Core team owns the API, the core of the service control plane, cluster autoscaling, platform integrations, and running k8s add-ons.

At Nebius, team leads are hands-on. We expect you to be a senior or staff engineer now (or earlier in your career). You will start as an individual contributor to gain context, then take on managerial responsibilities.

In this position, you will be responsible to:

• Lead by example. Set the quality bar by spending a significant portion of your time on IC work: writing and reviewing code, leading projects, and participating in on-call rotation, incident mitigation, and post-incident analysis.
• Manage 4–8 mid-to-senior engineers. Provide context, coach, and give regular feedback.
• Maintain the technical vision for your area of responsibility.
• Collaborate with the Product Manager and Service Owner to shape product vision and plans.

Examples of outcomes you could drive as a Team Lead

• Optimize the service control plane to create and manage 20K GPU nodes in a single Kubernetes cluster, enabling a major contract for the company.
• Integrate cluster autoscaling approaches (e.g., Karpenter) to improve resource utilization and support seamless auto-upgrades.
• Provide a Kubernetes-native way to use local disks to reduce disk I/O bottlenecks for AI training and inference, improving efficiency.
• Deliver managed Layer 7 load balancers to reduce operational overhead for customers.

What you will bring to the table:

• 8+ years of professional software engineering or management experience
• Excellent knowledge of Golang, or you are ready to quickly switch to this programming language
• Expertise with
• Multi-month technical projects
• Tech leading engineers
• Owning multi-month technical projects.

It would be an added bonus if you had:

• Experience with Team management, Kubernetes administration, Developing Kubernetes controllers

The role 

The Data Engineering team is responsible for building and maintaining robust data infrastructure that powers analytics, and business intelligence across Nebius. We design and implement scalable data pipelines, optimize data storage and processing, and enable data-driven decision making across the organization. The team works closely with product teams and business stakeholders to ensure alignment with company goals.We are looking for a Data Engineer to design, build, and maintain our data infrastructure and pipelines. You will work on processing large-scale datasets, optimizing data workflows, and enabling analytics capabilities that support our rapidly growing cloud platform.

Your responsibilities: 

• Design, develop, and maintain scalable data pipelines.
• Build and optimize data infrastructure.
• Implement data quality monitoring and validation frameworks.
• Optimize data storage, processing, and query performance for large-scale datasets.
• Design and implement data models for analytics and reporting use cases.
• Develop tools and automation to improve data engineering workflows and productivity.
• Ensure data governance, security, and compliance standards are met.
• Participate in on-call rotation to support production data systems.

Must-haves: 

• 3+ years of experience in data engineering or related roles.
• Experience building and maintaining data pipelines using orchestration tools (e.g., Airflow, Prefect, Dagster).
• Strong proficiency in SQL and solid programming skills in Python.
• Experience with distributed data processing frameworks (e.g., Apache Spark, or similar).
• Knowledge of data modeling principles and best practices.
• Understanding of data architectures and storage systems.

Nice-to-haves: 

• Experience with real-time data streaming platforms.
• Familiarity with Infrastructure as Code tools (Terraform, etc).
• Experience with containerization (Docker) and Kubernetes.
• Knowledge of data governance and privacy frameworks (GDPR, SOC2).
• Knowledge of data quality and observability tools (Great Expectations, etc.).

We conduct coding interviews as part of the process.

The role

We seek an experienced Specialist Solutions Architect to support AI-focused customers leveraging Nebius services. In this role, you will be a trusted advisor, collaborating with clients to design scalable AI solutions, resolve technical challenges and manage large-scale AI deployments involving hundreds to thousands of GPUs.

You’re welcome to work on-site in Amsterdam or remotely from any other EU country.

Your responsibilities will include:

• Designing customer-centric solutions that maximize business value and align with strategic goals.
• Building and maintaining long-term relationships to foster trust and ensure customer satisfaction.
• Delivering technical presentations, producing whitepapers, creating manuals and hosting webinars for audiences with varying technical expertise.
• Collaborating with engineering and product teams to effectively prioritize and relay customer feedback.

We expect you to have:

• 3+ years of experience with cloud technologies in MLOps engineering, Machine Learning engineering or similar roles.
• Strong understanding of ML ecosystems, including models, use cases and tooling.
• Proven experience in setting up and optimizing distributed training pipelines across multi-node and multi-GPU environments.
• Hands-on knowledge of frameworks like PyTorch or JAX.
• Excellent verbal and written communication skills.

It will be an added bonus if you have:

• Expertise in deploying inference infrastructure for production workloads.
• Ability to transition ML pipelines from POC to scalable production systems.

Preferred tooling:

• Programming Languages – Python, Go, Java, C++
• Orchestration – Kubernetes (K8s), Slurm
• DevOps Tools – Git, Docker, Helm
• Infrastructure as Code (IaC) – Terraform
• ML Frameworks and Libraries – PyTorch, TensorFlow, JAX, HuggingFace, Scikit-learn

• Serverless AI has clear product-market fit with measurable activation and retention metrics improving quarter over quarter.
• Multi-node jobs and autoscaling endpoints are shipped and adopted by customers running production workloads.
• Cold start time is reduced from 1-3 minutes to under 60 seconds for common workloads through a combination of product and infrastructure improvements you drove.
• Developer experience (CLI, docs, error messages, onboarding flow) sets the standard that developers expect from a next-generation AI cloud.
• At least 3 product decisions you made are directly attributable to customer conversations or data analysis you conducted.

• Co-own the Serverless AI product roadmap — Jobs, Endpoints, and DevPods — taking primary ownership of specific product areas while collaborating closely with the other PM on shared priorities and cross-cutting decisions.
• Write detailed, technically precise PRDs that engineering teams can execute against. Our PRDs specify CLI syntax, API contracts, state machines, and billing models — not abstract feature descriptions.
• Make build/buy/defer decisions on capabilities like autoscaling, multi-node orchestration, HTTPS termination, secret injection, and health checking based on customer signal and strategic priorities.

• Understand the full workload lifecycle: container image pull → VM provisioning → GPU attachment → workload execution → cleanup — well enough to identify bottlenecks and propose solutions.
• Evaluate technical trade-offs in areas like container cold start optimization (image caching, snapshot restore, warm pools), GPU scheduling and bin-packing, and storage mount performance.
• Work directly with engineers on architecture decisions for distributed training support, endpoint autoscaling policies, and fault tolerance mechanisms.
• Stay current on the fast-moving serverless GPU infrastructure space — new inference frameworks (vLLM, TensorRT-LLM, SGLang), container runtimes, orchestration approaches — and translate trends into product direction.

• Run customer discovery and feedback sessions with ML engineers and platform teams at AI startups and enterprises. Turn qualitative insight into specific product actions.
• Analyze usage data, activation funnels, and churn patterns to identify where users get stuck and what features drive retention.
• Track market dynamics, emerging technologies, and industry trends to inform product strategy and ensure Nebius stays ahead of where the market is heading.
• Define and iterate on pricing, packaging, and tier strategy for Serverless AI.

• Own the technical content strategy: quickstart guides, tutorials, reference architectures, and example workloads that reduce time-to-first-job.
• Partner with marketing on developer-focused campaigns, webinars, and conference presence.
• Work with Solution Architects and Sales to qualify serverless-fit opportunities and support technical evaluations.

• You have built, shipped, and iterated on infrastructure or platform products used by developers or ML engineers. Not consumer apps. Not dashboards. Infrastructure.
• You understand containers at a practical level — Docker, image registries, container runtimes, resource limits, networking. You've debugged why a container won't start, why GPU isn't visible inside it, or why a mount isn't working.
• You have working knowledge of GPU computing for AI/ML: what GPU types exist and when to use them, how training and inference workloads differ in resource requirements, what vLLM / TensorRT-LLM / Triton are and why they matter.
• You can read a CLI reference and know if it's well-designed. You've shaped developer-facing APIs, CLIs, or SDKs.
• You have run real customer discovery — not surveys, but technical conversations with engineers where you learned something that changed your product direction.
• You have 3+ years of product management experience in cloud infrastructure, AI/ML platforms, or developer tools.

• Ability to whiteboard a workload lifecycle (submit → schedule → provision → execute → cleanup) and identify failure modes at each step.
• Understanding of autoscaling trade-offs: scale-to-zero vs. warm pools, scaling metrics (queue depth, latency, utilization), cold start implications.
• Familiarity with inference serving concepts: batching, model loading, quantization, KV-cache management, multi-model serving.
• Understanding of distributed training concepts: data parallelism, model parallelism, communication overhead, checkpointing.
• Ability to reason about pricing models: per-second vs. per-request vs. per-token, and how pricing interacts with product architecture.

• Experience at a serverless or GPU cloud company.
• Hands-on ML engineering background — you've trained models, deployed inference endpoints, or built ML pipelines yourself.
• Experience with Kubernetes for ML workloads (Kubeflow, KServe, Ray Serve) and understanding of why many ML teams want to avoid it.
• Prior experience building a product from early stage to scale in a fast-growing market.
• Background in systems engineering, distributed systems, or site reliability engineering.

• You are more comfortable in a terminal than in a slide deck.
• You form strong opinions based on data and direct customer signal, and you update them when evidence changes.
• You are energized by building at pace — small team, fast-evolving product, big opportunity.
• You care about developer experience at the level of error messages, CLI flag naming, and documentation quality.
• You'd rather ship a smaller thing that works perfectly than a bigger thing that's mediocre.

About Nebius

Nebius AI is an AI cloud platform with one of the largest GPU capacities in Europe. Launched in November 2023, the Nebius AI platform provides high-end, training-optimized infrastructure for AI practitioners. As an NVIDIA preferred cloud service provider, Nebius AI offers a variety of NVIDIA GPUs for training and inference, as well as a set of tools for efficient multi-node training. 

Nebius AI owns a data center in Finland, built from the ground up by the company’s R&D team and showcasing our commitment to sustainability. The data center is home to ISEG, the most powerful commercially available supercomputer in Europe and the 16th most powerful globally (Top 500 list, November 2023).  

Nebius’s headquarters are in Amsterdam, Netherlands, with teams working out of R&D hubs across Europe and the Middle East. 

Nebius AI is built with the talent of more than 500 highly skilled engineers with a proven track record in developing sophisticated cloud and ML solutions and designing cutting-edge hardware. This allows all the layers of the Nebius AI cloud – from hardware to UI – to be built in-house, distictly differentiating Nebius AI from the majority of specialized clouds: Nebius customers get a true hyperscaler-cloud experience tailored for AI practitioners. We’re growing and expanding our products every day. 

If you’re up to the challenge and are excited about AI and ML as much as we are, join us!

The role

We are looking to hire a Senior Technical Project Manager to join our Dev Tools and Observability teams in Amsterdam or remote. Dev Tools team handle everything from the moment a developer starts writing code on their laptop to the moment the application is deployed in k8s or any other orchestrator. Observability Platform is a tool that unifies logs, metrics, traces, and many other services into a single ecosystem, which helps monitor the performance and health of applications. The impact on this position has high implications across various products.

The scope is - set up feedback loops from engineering teams, drive AI-related experiments, and help bring our planning and processes to a more mature level. This is a hands-on role: less reporting, more structuring, pushing things forward, and making results comparable.

Requirements:

• 5+ years as a TPM on cross-team initiatives or as an engineering manager/director. A few years as SWE is a plus.
• Strong technical background (architecture, infra, CI/CD, o11y basics).
• Excellent communicator, both spoken and written.
• Experience running cross-team work where no one has formal authority over everyone.
• Analytical approach to data and survey results.
• Experience with planning tools and willingness to adjust them.

New data center development:

We give you the opportunity to work with cutting-edge technologies in data operations, cloud computing and infrastructure management. As global data center operations grow, there will be ample opportunities for career progression. Working in the data center directly impacts performance, customer satisfaction and efficiency, with the opportunity to contribute to new data center projects.You’ll collaborate with experts in AI data center development and operations, gaining insights from leaders in the field. This environment fosters innovation, and allows you to work on solutions that exceed industry standards in design and deployment.

The role

• Lead large cross-team IaaS projects from planning to delivery.
• Break down project scope into phases, milestones, dependencies, and tasks.
• Coordinate execution across multiple technical teams and keep everyone aligned.
• Build and maintain project plans, document decisions, architecture context, and artifacts.
• Run regular project syncs, track progress, identify blockers early, and drive mitigation.
• Own timeline tracking and delivery forecasting; proactively highlight risks and trade-offs.
• Support product managers with execution orchestration across several engineering teams.
• Improve delivery transparency: status reporting, milestone, and clear next steps for stakeholders.

• Solid understanding of public cloud fundamentals and core IaaS principles.
• Good technical awareness of cloud building blocks, including: virtualization (KVM/QEMU), Kubernetes, VPC, storage, API.
• Strong project decomposition and execution management skills in technical environments.
• Ability to run structured cross-functional ceremonies and keep technical teams synchronized.
• Strong communication skills: concise status updates, risk communication, and stakeholder alignment.

• Experience in cloud infrastructure, AI/GPU platforms, or distributed systems projects.
• Experience working with both product and engineering stakeholders in platform teams.
• Familiarity with release planning and dependency/risk management across multiple streams.

• Projects are delivered with clear stage gates, realistic timelines, and predictable execution.
• Cross-team dependencies are visible early and resolved before they become blockers.
• Product and engineering have a shared view of scope, progress, and delivery risks.

Key Responsibilities   

• Lead large cross-team security initiatives from planning to delivery;  
• Break down complex security programs into phases, milestones, dependencies, and execution plans; 
• Coordinate execution across multiple engineering and platform teams, ensuring alignment and momentum;  
• Translate product requirements into clear, actionable workstreams for engineering teams; 
• Build and maintain project plans, documentation, decision logs, and technical context; 
• Run regular project syncs and reviews - track progress, identify blockers early, and drive mitigation; 
• Own timeline tracking and delivery forecasting - proactively highlight risks and trade-offs; 
• Partner closely with Product Managers to orchestrate execution across multiple teams; 
• Improve delivery transparency through clear status reporting, milestone tracking, and stakeholder communication; 
• Ensure cross-team dependencies are surfaced early and resolved before becoming blockers.  

What We Expect 

• Strong technical awareness in security and Cloud environments, with solid understanding of:  
• Cloud and infrastructure security principles  
• Kubernetes and container security  
• IAM Fundamentals 
• Cloud networking concepts (VPC, Security Groups)  
• Security tooling and platforms  
• Experience driving execution in complex, multi-team technical environments; 
• Strong project decomposition and execution management skills; 
• Ability to coordinate and run structured cross-functional processes across engineering and product teams; 
• Strong communication skills: concise status reporting, clear risk communication, and stakeholder alignment; 
• Experience working closely with both product managers and engineering managers in platform or infrastructure-heavy environments.  

Nice to Have 

• Experience working with Cloud platforms, distributed systems, or AI/ML infrastructure environments; 
• Experience working at a Cloud Service Provider; 
• Familiarity with advanced security domains such as confidential computing or federated computing; 
• Background in high-scale infrastructure or platform organizations.  

Success In This Role 

• Security initiatives are delivered predictably, with clear execution plans and realistic timelines; 
• Cross-team alignment is strong across product and engineering for complex security programs; 
• Risks and dependencies are identified early and actively managed; 
• Execution of security priorities becomes smoother, with reduced friction across teams; 
• Stakeholders have clear visibility into progress, risks, and next steps.  

About Nebius

Nebius AI is an AI cloud platform with one of the largest GPU capacities in Europe. Launched in November 2023, the Nebius AI platform provides high-end, training-optimized infrastructure for AI practitioners. As an NVIDIA preferred cloud service provider, Nebius AI offers a variety of NVIDIA GPUs for training and inference, as well as a set of tools for efficient multi-node training. 

Nebius AI owns a data center in Finland, built from the ground up by the company’s R&D team and showcasing our commitment to sustainability. The data center is home to ISEG, the most powerful commercially available supercomputer in Europe and the 16th most powerful globally (Top 500 list, November 2023).  

Nebius’s headquarters are in Amsterdam, Netherlands, with teams working out of R&D hubs across Europe and the Middle East. 

Nebius AI is built with the talent of more than 500 highly skilled engineers with a proven track record in developing sophisticated cloud and ML solutions and designing cutting-edge hardware. This allows all the layers of the Nebius AI cloud – from hardware to UI – to be built in-house, distictly differentiating Nebius AI from the majority of specialized clouds: Nebius customers get a true hyperscaler-cloud experience tailored for AI practitioners. We’re growing and expanding our products every day. 

If you’re up to the challenge and are excited about AI and ML as much as we are, join us!

The role

We’re looking for a Backend Engineer to contribute to the development of our hyperscaler platform.

Your responsibilities will include:

Develop fault-tolerant, reliable cloud services: cloud infrastructure, managed databases, managed Kubernetes, billing, monitoring systems, ML service and more.

We expect you to have: 

• 5+ years of professional software engineering experience;
• Knowledge of C++ programming language;
• Knowledge of Python, Java, and Go is a plus;
• Ability to write reliable code and dig into complex problems;
• Teamwork-oriented approach;
• Fluency in English.

Nice to have:

Experience designing high-load and scaling services.

We conduct coding interviews as part of the process.

The role

We’re looking for a Software Engineer with strong C++ expertise to join the team building and operating Nebius Data Platform — a distributed storage and a processing platform that acts as the company’s “source of truth” and the backbone of many internal (and some external) products.

Nebius Data Platform is a single multi-tenant ecosystem based on YTsaurus — instead of running separate HDFS/Kafka/HBase-style systems, we provide storage, compute, and analytics capabilities inside one platform.

Built on top of the open-source YTsaurus ecosystem, we run and extend our own Nebius distribution and develop significant in-house functionality (core and platform-level). We can design, implement, and roll out features end-to-end on our clusters without waiting for upstream approvals and contribute upstream when it makes sense.

At scale today, this includes~500 servers, ~20k CPU cores and ~10 PB of compressed data in our largest production cluster, supporting workloads ranging from business-critical pipelines and financial transactions to large-scale ML/LLM training datasets and compute.

What’s inside the platform

You’ll work on a system that includes (and ties together):

• Distributed Storage (Cypress): transactional semantics, tiered storage, erasure coding, replication, and strong reliability expectations.
• Compute & ETL: a cluster-wide job scheduler (tens of thousands of cores), MapReduce, YQL for SQL-like data processing, and SPYT (Spark over YTsaurus) for modern data engineering.
• Interactive analytics (CHYT): ClickHouse® instances spun up directly on compute nodes for fast SQL over data in-place.
• Dynamic Tables: low-latency NoSQL KV with distributed ACID transactions for OLTP-style workloads and feature stores.
• Orchestracto: workflow orchestration deeply integrated with the platform (Airflow-like, but platform-native).

What you’ll do

We’re looking for engineers who combine strong systems skills with product sense: understanding who uses the platform, why certain capabilities matter, and making pragmatic trade-offs to maximize impact. On our team, engineering work is expected to be connected to real users and outcomes — you’ll regularly align with internal stakeholders, clarify requirements, and help drive prioritization.

In this role, you will:

• Design and implement new functionality in YTsaurus core (C++) with production reliability in mind.
• Build and evolve platform-level capabilities: platform architecture and operating model—multi-cluster growth, shared primitives, and a consistent experience that scales with new teams and use cases.
• Improve end-to-end platform experience for internal (and external-facing) users: APIs, guardrails, debugging workflows, and automation.
• Own production quality: incident response / on-call rotation, root cause analysis, and turning learnings into durable fixes.

Example projects

• Roll out sharded YTsaurus masters (incl. Kubernetes operator support) and build automatic balancing of metadata across master cells (consensus groups) to remove control-plane bottlenecks and unlock 10–100x cluster growth.
• Make CHYT interactive SQL faster and more predictable at high load via performance work like data-skipping / min-max-style indexes and improved execution introspection.
• Turn Orchestracto into a platform product by defining the building blocks, developer experience, and governance for how teams create and share workflows.
• Scale and harden Parquet-on-S3 for native YTsaurus workloads by tackling replication/movement, consistent lifecycle semantics, and master-server metadata optimizations for performance and reliability.
• Design and ship complete, trustworthy audit trails for data changes (who/what/when) across heterogeneous storage and compute paths.

Tech stack

• Core: modern C++ (C++20, async + multithreaded primitives)
• Services & tooling: Go and Python (microservices, utilities, integration tests)

What we expect

• 5+ years of software engineering experience.
• Strong C++ skills (you’ll write core code).
• Working knowledge of Python and/or Go (you don’t have to be expert, but should be comfortable navigating them).
• Experience developing and/or operating high-load, distributed services.
• Production mindset: ability to use SSH, read logs/metrics/traces, and debug distributed systems behavior.
• Solid CS fundamentals: algorithms, data structures, concurrency basics.

Nice to have

• Experience with Big Data systems (YTsaurus/Hadoop/Spark/ClickHouse/Kafka-like ecosystems).
• Experience with multi-tenant platforms, schedulers, resource isolation, quotas, and reliability engineering.
• Strong performance engineering skills (profiling, lock contention, latency/throughput tradeoffs).

We conduct coding interviews as part of the process.

Why work at Nebius
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.

Where we work
Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.

Summary:

Location: Amsterdam
Duration: 3 months
Start date: June 2026 
Compensation: Paid
Eligibility: Current University student (Computer Science or related field), Recent Graduate or Early Career specialist
Work authorization: Permitted to work in the job’s location

The role

We are looking for an Early Talent to develop cloud-based integrations on Microsoft Azure. You will work with experienced engineers and gain hands-on experience building API-based and cloud-native integration solutions.

We expect you to have

• 0–2 years of experience with Microsoft Azure (study projects, internships, or junior roles count).
• Basic understanding of cloud concepts (compute, storage, networking).
• Familiarity with Infrastructure as Code (Terraform / Bicep / ARM) — even at learning or pet-project level.
• Basic experience with CI/CD concepts (e.g., GitHub Actions, Azure DevOps, or similar).
• Understanding of:
   - Azure Networking basics (VNet, NSG, public/private access)
   - Compute basics (VMs, containers)
   - Storage services
• Awareness of identity concepts (RBAC, basics of Microsoft Entra ID).
• Basic scripting skills (PowerShell / Bash / Python — even simple scripts).
• Interest in monitoring and logging (Azure Monitor, Log Analytics — basic exposure is enough).
• Understanding of cloud fundamentals, security basics, and cost awareness.
• English: Intermediate.

Your responsibilities will include

• Assist in managing Azure environments and subscriptions.
• Support infrastructure deployments using Infrastructure as Code.
• Help build and maintain CI/CD pipelines under supervision.
• Assist with configuration of networking and access controls.
• Monitor system health and report issues.
• Support cost optimization and resource cleanup.
• Follow and help enforce Azure policies and governance.
• Collaborate with engineering teams on cloud-related tasks.
• Maintain and update documentation.

What we offer

• Competitive salary and comprehensive benefits package.
• Mentorship from experienced AI, ML, and cloud infrastructure professionals.
• Hands-on experience with real customer workloads and production systems.
• Opportunities for professional growth within Nebius.
• A dynamic and collaborative work environment that values initiative and innovation.
• Opportunity to be considered for a full-time role after the Early Talent Program.

The Role

Your responsibilities will include:

• Ensure fault-tolerance, scale, and uninterrupted operations for the service.
• Use cutting-edge cloud technology to solve a variety of infrastructure problems.
• Implement and improve CI/CD processes.

We expect you to have:

• Solid experience with programming languages (like Go, Python, or C++);
• Solid understanding of classic algorithms and data structures;
• Commercial experience with and deep understanding of Unix systems and network technology;
• Experience with systems for containerization and configuration management (Ansible, Salt, Terraform, Docker, K8s, Helm).

It will be an added bonus if you have:

• Desire to be involved in backend development;
• Experience designing, developing, and running high-load distributed systems;
• Commercial experience with a variety of cloud platforms.

We conduct coding interviews as part of the process.

The team

Customer experience at Nebius GPU AI Cloud involves tackling customers’ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. You’ll not only resolve issues, but play a key role in shaping clients’ business success by optimizing their AI solutions. Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, you’ll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, you’ll have the freedom to innovate, take ownership and drive change. Opportunities for growth are abundant in this vibrant and supportive professional community.

The role

We are seeking a highly skilled and customer-focused leader to join our team as a Cloud Solutions Architect Lead. As a team leader, you will play a pivotal role in customer success across EU region, both managing the efforts of Cloud Solutions Architects team (technical and process excellence, talent development) and building processes alongside your stakeholders. Player-coach mentality and proven track record of managing high expertise teams is a must. 

You’re welcome to work from our office in Amsterdam or remotely from any EU country.

Your responsibilities will include: 

• Lead and mentor a team of Solutions Architects, fostering a culture of technical excellence, customer empathy, and collaborative execution.
• Oversee and participate in technical engagements including PoCs, workshops, architecture reviews, and trainings.
• Drive consistency and quality across infrastructure design, IaC practices, technical documentation, and customer enablement content.
• Collaborate closely with Product and Development teams, representing customer needs and helping shape the roadmap.
• Guide customers in optimizing ML/AI/HPC pipelines for performance, scalability, and cost-efficiency on Nebius  cloud infrastructure.
• Build visibility and ownership culture amongst Solutions Architects.

We expect you to have: 

• 5+ years of experience in a technical role (Solutions Architect, DevOps Engineer, ML Engineer, or similar) with a focus on cloud-native systems and distributed computing.
• 2+ years of experience leading or mentoring customer facing engineering teams.
• Deep hands-on experience with Infrastructure as Code (Terraform, Ansible), Kubernetes, and cloud automation.
• Strong communication and stakeholder management skills across both technical and non-technical audiences.
• Passion for developing scalable, reliable cloud architectures and driving customer success.

It will be an added bonus if you have: 

• Experience with HPC or ML orchestration frameworks (e.g., Slurm, Kubeflow, Ray).
• Strong coding skills in Python and experience with GPU computing environments for ML/AI workloads.
• Proficient in GPU stack components (e.g., CUDA, cuDNN) and cloud-native patterns for ML training/inference.
• Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX).
• Understanding of cloud-based ML tools and offerings from NVIDIA, AWS, Azure, or Google Cloud.
• Experience participating in or leading technical contributions to conferences or open-source communities. 

• Ensure reliability, availability and performance of compute nodes running VMs
• Analyze and debug Linux systems across user space and kernel space, understanding capabilities, limitations and trade-offs at each layer
• Troubleshoot complex production issues involving CPU, memory, NUMA, cgroups and scheduling
• Work hands-on with virtualization and containerization, primarily using QEMU/KVM and Linux-native technologies
• Design and evolve observability as a core capability of the node layer: metrics, logs, traces, alerts, SLIs and SLOs
• Lead incident response, root-cause analysis, and postmortems, driving long-term reliability improvements
• Collaborate closely with platform, kernel/hypervisor, GPU and infrastructure teams to improve system design and operability

• Experience with Kubernetes internals or node-level components
• Hands-on experience with low-level Linux debugging tools (e.g. perf, eBPF, ftrace, strace, kernel crash dumps)
• Familiarity with large-scale compute or bare-metal platforms
• Contributions to open-source infrastructure or system software
• Experience debugging hardware and driver-level issues, including GPUs, NVLink, InfiniBand

• Write and maintain UI copy in Nebius Console that improves and streamlines the user experience, ensuring consistency and alignment with product documentation.
• Provide alternative UI copy options based on the proposed design solutions.
• Collaborate closely with product managers, designers, and engineers on product initiatives.
• Develop and maintain voice & tone guidelines; define and scale content patterns within the design system.
• Simplify complex technical scenarios into clear, actionable interface language.
• Conduct content audits of the existing interfaces and identify areas for improvement.
• Actively participate in the life and processes of the Product Design Team.

• 5+ years of experience in UX writing / content design.
• Strong product thinking and the ability to approach design as a system of interconnected user scenarios.
• Excellent written and spoken English.
• Familiarity with cloud computing concepts (virtual machines, containers, Kubernetes, storage, networking, etc.) and ML/AI concepts (training, inference, fine-tuning, etc.).
• Proficiency in Figma.
• A portfolio featuring real interface cases (before/after examples and clear explanation of decision logic).
• Solid understanding of core UX principles: user flows, edge cases, states, and system feedback.

• Experience in technical writing.
• Experience using AI-powered plugins in Figma or other tools to support content creation workflows.
• Review UI texts directly in the codebase and occasionally update or fix copy within the code when necessary.

The role

We are seeking a customer-obsessed Solutions Architect to lead technical engagement with Nebius customers across Europe. This role is focused on presales excellence, strong technical storytelling, and driving adoption of Nebius AI Cloud across a wide range of industry segments.

As a Solutions Architect, you will act as a trusted technical partner to customers, helping them understand, evaluate, and adopt Nebius for their AI/ML and high-performance computing workloads. You will combine deep technical expertise with strong communication skills to clearly articulate Nebius’ value proposition and differentiate our platform in a competitive market.

You’re welcome to work remotely from Europe.

Your responsibilities will include:

• Own end-to-end technical presales engagements, from discovery through solution design, PoC execution, and production readiness
• Serve as a trusted technical advisor to customer stakeholders, including CTOs, Heads of AI/ML, and platform engineering teams
• Deliver compelling technical presentations, demos, and workshops that clearly communicate the value of Nebius across different customer segments
• Execute demos and PoCs to demonstrate performance, scalability, and cost efficiency of Nebius solutions
• Translate customer requirements into scalable, production-ready architectures and best practices
• Collaborate closely with Sales, Product, and Engineering to align customer needs with Nebius capabilities and roadmap
• Act as a technical advocate for customers internally, ensuring feedback is incorporated into product and go-to-market strategy
• Support regional go-to-market efforts, including events, meetups, webinars, and technical content creation
• Contribute to building repeatable technical playbooks and assets for the European market

We expect you to have:

• 2–5+ years of experience in technical roles such as Solutions Architect, Cloud Architect, Sales Engineer, or similar, with strong customer-facing exposure
• Proven experience in presales or customer-facing technical roles, including discovery, solution design, and PoC execution
• Strong ability to deliver technical pitches and clearly explain complex infrastructure and AI/ML concepts to both technical and business audiences
• Experience positioning cloud or infrastructure solutions and articulating value propositions in competitive environments
• Solid understanding of ML/AI workloads, including training and inference, and the underlying infrastructure requirements
• Experience with cloud platforms, Kubernetes, and distributed systems
• Hands-on experience with Infrastructure as Code (e.g., Terraform) and scripting/programming (Python preferred)
• Strong communication and storytelling skills, with the ability to adapt messaging across different customer segments
• Deep understanding of the European market, including customer expectations, buying behaviors, and local ecosystem
• Fluency in English plus another language preferred (both written and spoken), with the ability to engage confidently with local customers and stakeholders
• A highly customer-centric mindset, with the ability to balance technical depth and business value

It will be an added bonus if you have:

• Experience with GPU-accelerated workloads and AI infrastructure (NVIDIA ecosystem, CUDA, etc.)
• Hands-on experience with MLOps tools and frameworks (Kubeflow, MLflow, etc.)
• Familiarity with HPC environments and schedulers (e.g., Slurm)
• Experience contributing to regional go-to-market or developer/community initiatives

The role 

We are looking for a Senior Frontend Developer to design and implement internal user interfaces using React and TypeScript. These interfaces support automation workflows that enable teams to efficiently manage hardware infrastructure of our company - tracking assets, orchestrating data center deployments, provisioning and configuring servers, installing operating systems and drivers, and resolving issues across distributed environments. You will contribute to the full product lifecycle - from concept and UX mockups to production deployment in container-based environments (Docker, k8s).

Your responsibilities: 

• Build and maintain a group of applications written in React and TypeScript.
• Design and refine UI/UX flows to improve usability and visual consistency.
• Translate product requirements and UX concepts into interactive interfaces. 
• Contribute to continuous improvement of the frontend architecture and developer experience.

We expect you to have:

• 5 years of experience with software development in one or more programming languages.
• Strong proficiency in React, TypeScript, HTML, and CSS.
• Experience with state management.
• Familiarity with UX design principles.

It would be nice if you have:

• Exposure to full-stack and DevOps concepts (Python, Docker, Linux, modern networks).
• Understanding of reactive programming principles.

We conduct coding interviews as part of the process.

Role & Team

Our engineering team is growing! We are looking for multiple senior full stack engineers to join our web product team(s) and help us scale our product suite. 

As a Senior Software Engineer at Overstory, you will have a direct impact on our mission by building new capabilities and features that in turn enable utility companies to more effectively manage risks associated with climate change, wildfires and storms. We will also look to you to effectively partner with product, design and tech leads on key initiatives and mentor other engineers from time to time. 

Time zone requirement: Europe (GMT/WET, CET, EET) and Eastern North America (NST, AST, EST)

What You'll Do

Over the next 6-12 months you will contribute to:

• Performance & scalability: ensuring that our product can handle 3x year-over-year growth
• Velocity: accelerating time to value of new product capabilities
• Leverage: reducing the amount of manual work required to ingest vegetation analysis into our customer facing applications

Skills & Experience

• Proven experience of full stack development across the following (or similar) technologies: *Python/FastAPI, React/Typescript, Postgres DB, data pipelines; (*Python experience a core requirement)
• Recent experience working in a build it, run it environment (GCP, cloud run, grafana, k8s) - or similar
• Experience working in a high growth scaleup environment across distributed, remote teams 
• Deeply committed to tackling the climate crisis
• Possess a product mindset; deep understanding of leveraging technology to directly impact business outcomes
• Proven ability to design and implement scalable and resilient systems
• Excellent written and verbal communication skills; ability to effectively collaborate in a cross-functional team environment
• Committed to ongoing education, perpetual learning, mentorship; interested in evolving technologies and industry trends

Nice To Have

• Experience working with maps/imagery/geospatial domains  
• Experience working on globally distributed teams

Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.

What We Offer

• Competitive, location-specific compensation and benefits
• Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
• Home office stipend, coworking and ongoing education budgets 
• A company culture that genuinely embodies each of our core values
• To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis

Role & Team

We’re looking for a Director of Platform & Infrastructure to own and evolve our core engineering foundations. Reporting to our VP of Product Engineering, this role will lead SRE, MLOps, and Platform teams with a mandate to create leverage across the entire organization.

As a scaling startup, we’re evolving from early-stage infrastructure to a more mature, reliable platform that can support rapid product development and growing customer demand. This role is critical in helping us make that transition — building systems, standards, and teams that enable speed today while laying the foundation for long-term scale.

Partnering closely with product, data, and application engineering teams, you will set the technical vision, define best practices, and ensure our infrastructure enables teams to move fast with confidence.

This is a highly cross-functional leadership role for someone who combines deep technical judgment with a systems mindset, strong people leadership, and a passion for building platforms that empower others.

Time zone requirement: Europe (GMT/WET, CET, EET) and Eastern North America (NST, AST, EST)

What You'll Do 

• Own the platform strategy across Platform, MLOps, and SRE, aligning it with company and product goals
• Grow senior ICs (and eventually manages) across multiple teams, fostering strong technical leadership and healthy team cultures
• Define and evolve our platform vision, including developer experience, internal tooling, CI/CD, infrastructure, observability, and reliability standards
• Oversee MLOps systems that support model development, training, deployment, monitoring, and governance in production
• Partner cross-functionally with Product, ML, Data, Security, and Compliance to ensure the platform meets current and future needs
• Balance speed and stability, making thoughtful tradeoffs between innovation, cost, reliability, and operational excellence
• Set metrics and accountability for platform performance, reliability, and developer productivity

Skills & Experience

• 10+ years experience leading platform, infrastructure, or reliability teams in a scaling startup environment, including navigating ambiguity, rapid growth, and the transition from early-stage systems to more mature, repeatable platforms
• Strong understanding of cloud-native infrastructure (GCP strongly preferred), Kubernetes, CI/CD, and modern DevOps practices
• Experience supporting machine learning systems in production, including model deployment, monitoring, and lifecycle management
• A track record of building reliable, scalable systems used by fast-moving product teams
• Excellent people leadership skills — you know how to coach managers, grow talent, and build inclusive, high-performing teams
• Strong communication skills and the ability to influence across org boundaries
• Experience in data- or ML-heavy products

Nice To Have

• Experience with geospatial data, image processing or mapping technology 

Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.

What We Offer

• Competitive, location-specific compensation and benefits.  
• Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
• Home office stipend, coworking and ongoing education budgets 
• A company culture that genuinely embodies each of our core values
• To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis

Role & Team

As a Staff Engineer, you will work across multiple teams to evolve a suite of web and internal tools that enable utility companies to more effectively manage risks associated with climate change and wildfires.

We are seeking improvement in the following areas:

• Performance & Scalability: ensure that our product can handle 3x YoY growth 
• Accelerate time to value of new product capabilities
• Reduce the amount of manual work required to ingest vegetation analysis into our customer facing tools

At Overstory, our Staff Engineers are hands-on technical leaders whose influence extends beyond their team either through leading cross team initiatives, making technology choices for critical aspects of our technology platform or solving for critical technical challenges within teams enabling our business to achieve our rapid scaling plans (growing 3x YoY). 

This role will start off being primarily team scoped solving critical scaling challenges. There is scope to expand remit as we grow.

Time zone requirement: Europe (GMT/WET, CET, EET) and Eastern North America (NST, AST, EST)

What You'll Do

Technical Skills:

• Broad and deep understanding of system design with an ability to select the correct paradigm/technology given the situation and constraints.  
• Develops a deep understanding of our business domains and how technology can be applied to drive business impact. 
• Innovates and introduces new technologies or methodologies.
• Resolves complex technical challenges with innovative solutions.

Ownership:

• Leads cross-team initiatives or leads on architectural system design at team level
• Drives pragmatic technology choices/decisions making sensible trade offs in order to  balance current and future business needs.
• Defines coding standards and engineering best practices.
• Evaluates and recommends new tools and technologies.
• Hands-on contribution 

Leadership:

• Mentors and coaches engineers.
• Influences technical decisions at the organizational level.
• Collaborates with product managers and CTO to inform how technology can influence or enable the product strategy.

Skills & Experience

• Experience of working in a high growth scaleup environment 
• Product minded and able to demonstrate significant impact you have had on a business through the application of technology
• Proven experience of full stack development across the following (or similar) technologies: React/Typescript, Python/fastAPI, Postgres DB, Data pipelines)
• Comfortable working in a build it, run it environment (GCP, cloud run, grafana, k8s) - or similar
• Ability to design and implement scalable and resilient systems
• Strong leadership skills with the ability to mentor and coach engineers at all levels
• Excellent communication skills and ability to collaborate effectively in a cross-functional team environment
• Passion for learning and staying updated with evolving technologies and industry trends

Nice To Have

• Demonstrated experience scaling large distributed architectures
• Experience working in a remote-first environment
• Experience working with satellite data and/or imagery

Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.

What We Offer

• Competitive, location-specific compensation and benefits 
• Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
• Home office stipend, coworking and ongoing education budgets 
• A company culture that genuinely embodies each of our core values
• To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis

At JetBrains, code is our passion. Ever since we started, back in 2000, we have strived to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

One of the projects we’re working on within the JetBrains Innovation Hub is the AppGlass, a product for safe, AI-first debugging of production systems. It will help engineering teams investigate issues in real environments with a strong focus on safety, reliability, security, low overhead, and practical AI integration. That means it’s a mix of JVM tooling, program analysis, and AI at the core. Check out our demo and website to get a better sense of how it works.

About the role

We are looking for a Senior Software Engineer with strong enterprise JVM experience. This role is a good fit for someone proactive and excited by complex engineering challenges at the intersection of production systems, developer tools, and AI agents.

In this role, you will:

• Design, build, and lead the development of product features.
• Develop tooling and automation for AI-first engineering workflows.
• Work on enterprise integrations and deployment scenarios across Kubernetes and cloud environments.
• Improve reliability, testing, performance, and security for production use.

We’d like to have you on the team if you:

• Have extensive experience with Java, Kotlin, and JVM systems.
• Have worked on enterprise backend software, infrastructure, or developer tooling.
• Are comfortable with Kubernetes and cloud environments.
• Take ownership, communicate clearly, and move things forward without waiting for perfect specs.
• Enjoy using AI in development, while validating results with solid engineering discipline.

We’ll be especially thrilled if you:

• Have experience with debugging, instrumentation, or observability-related tools.
• Have experience with .NET or Python backend products.
• Care deeply about developer productivity and engineering quality.

Why join JetBrains? 

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family
• Learning and development opportunities. Access to conferences, courses, and language classes
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-REMOTE 
#LI-KT1

Why Cast AI?

Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.
The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.
Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.

Global team, diverse perspectives

We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.

Unicorn momentum

In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.

Join us as we build the future of autonomous infrastructure.

About the role

Throughput. Latency. KV cache utilization.

Move those three numbers in the right direction, and two things happen: customers get faster, cheaper inference, and our margins improve. That's the entire thesis of this role. Every kernel you tune, every quantization scheme you ship, every scheduler tweak you land shows up directly in a customer's p99 and on our P&L.
This is a high-impact seat. It is also a high-autonomy seat as you'll be given the room to lead the technical direction of inference optimization at Kimchi, not execute someone else's roadmap.

The problem: running LLMs in production is a moving target. The "right" model and serving configuration for a workload depend on traffic shape, sequence-length distribution, batch dynamics, GPU SKU, memory bandwidth, quantization tolerance, and a dozen other variables that shift week to week. Most teams pick a model once, over-provision GPUs, and absorb the cost. Kimchi is the system that makes that decision automatically - continuously matching workloads to the most cost-efficient, best-performing LLM and serving configuration on a customer's infrastructure. We're building the optimization layer between the model and the hardware, and we need engineers who understand both sides deeply.

Stack

Python; vLLM; SGLang; TensorRT-LLM; PyTorch; CUDA-adjacent tooling; Kubernetes; gRP; ClickHouse; PostgreSQL; GCP Pub/Sub; AWS / GCP / Azure; GitLab CI; ArgoCD; Prometheus; Grafana; Loki; Tempo.

Requirements:

• 5+ years building real ML systems, with a portfolio that shows depth in inference or training infrastructure (not just model training notebooks).
• Strong Python - production services, not scripts.
• Hands-on experience with at least one of vLLM, SGLang, or TensorRT-LLM, and a working mental model of why an inference engine performs the way it does on a given GPU.
• Fluency with quantization tradeoffs - you've measured quality regressions, not just compression ratios.
• Comfort with distributed systems: collective communication, sharding strategies, and the practical failure modes of multi-GPU and multi-node setups.
• A bias toward measurement. You instrument before you optimize, and you can tell the difference between a real win and a benchmark artifact.
• Self-direction. This role comes with a wide mandate; you should be excited by that, not unsettled by it.

Responsibilities:

• Push throughput. Continuous batching, speculative decoding, chunked prefill, kernel-level tuning across vLLM, SGLang, and TensorRT-LLM. Find the ceiling on each GPU SKU, then raise it.
• Cut latency. Attack TTFT and TPOT separately. Profile, identify the actual bottleneck (compute, memory bandwidth, scheduling, networking), and fix it - not the bottleneck you assumed.
• Get more out of the KV cache. Paged attention, prefix caching, eviction policies, cache reuse across requests, quantized KV. This is where a lot of the unrealized throughput lives, and it's an area you'll own.
• Quantize without regressing quality. INT8, INT4, FP8 across weights, activations, and KV. Empirical work: measure quality on real workloads, not just perplexity benchmarks.
• Shrink cold starts and memory footprint. Faster init, smarter weight loading, tighter memory accounting - the difference between a model that scales and one that doesn't.
• Scale across nodes. Distributed inference topologies, network-aware placement, checkpointing strategies that don't bottleneck on storage or interconnect.
• Set the technical direction. Decide what we benchmark, what we adopt, and what we build ourselves. Bring the team along with strong writeups and reproducible experiments.

What’s in it for you?

• Competitive salary (depending on the level of experience).
• Enjoy a flexible, remote-first global environment.
• Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology
• Equity options.
• Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
• Spend 10% of your work time on personal projects or self-improvement. 
• Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
• Annual hackathon to spark new ideas and strengthen team bonds.
• Team-building budget and company events to connect with your colleagues.
• Equipment budget to ensure you have everything you need.
• Extra days off to help maintain a healthy work-life balance.

Hiring process

• Screening call with Recruiter
• Hiring Manager interview
• Technical interview (system design)
• Live coding
• Culture Check interview with an executive

As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
Please note that Cast AI does not provide any form of visa sponsorship/work permit.

#LI-Remote

Spektrum supports apex purchasers (NATO, UN, EU, and National Government and Defence) and their Tier 1 supplier ecosystem with a wide range of specialist services. We provide our clients with professional services, specialised aerospace and defence sales, delivery, and operational subject matter expertise. We are looking for personnel to join our team and support key client projects.

Who we are supporting 

The NATO Communication and Information Agency (NCIA) is responsible for providing secure and effective communications and information technology (IT) services to NATO's member countries and its partners. The agency was established in 2012 and is headquartered in Brussels, Belgium.

The NCIA provides a wide range of services, including:

• Cyber Security: The NCIA provides advanced cybersecurity solutions to protect NATO's communication networks and information systems against cyber threats.
• Command and Control Systems: The NCIA develops and maintains the systems used by NATO's military commanders to plan and execute operations.
• Satellite Communications: The NCIA provides satellite communications services to enable secure and reliable communications between NATO forces.
• Electronic Warfare: The NCIA provides electronic warfare services to support NATO's mission to detect, deny, and defeat threats to its communication networks.
• Information Management: The NCIA manages NATO's information technology infrastructure, including its databases, applications, and servers.

Overall, the NCIA plays a critical role in ensuring the security and effectiveness of NATO's communication and information technology capabilities.

The program

Assistance and Advisory Service (AAS)

The NATO Communications and Information Agency (NCI Agency) is NATO’s principal C3 capability deliverer and CIS service provider. It provides, maintains and defends the NATO enterprise-wide information technology infrastructure to enable Allies to consult together under Article IV, and, when required, stand together in the face of attack under Article V.

To provide these critical services, in the modern evolving dynamic environment the NCI Agency needs to build and maintain high performance-engaged workforce. The NCI Agency workforce strategically consists of three major categorise's: NATO International Civilians (NIC)'s, Military (Mil), and Interim Workforce Consultants (IWC)'s. The IWCs are a critical part of the overall NCI Agency workforce and make up approximately 15 percent of the total workforce.

Role ID – 2026-0061

Role Background

• To strengthen the Alliance through connecting its forces, NATO Communication and Information Agency (NCIA) delivers secure, coherent, cost effective and interoperable communications and information systems in support of consultation, command and control and enabling intelligence, surveillance and reconnaissance capabilities, for NATO, where and when required.
• The Ballistic Missile Defence Programme Office (BMD PO), as part of the NCIA, ensures the harmonised planning, implementation, deployment, evolution and support of the BMD capability, in a way that satisfies the operational requirements and minimises the military risk, taking into account the NATO political, economic and schedule requirements and using the most suitable industrial and technological solutions.
• ACT has completed a comprehensive series of IAMD studies and is now transitioning into the benefit-realisation phase. Building on these foundations, ACT intends to initiate a two-year Feasibility Study to expand the ambition of the Emerging Concepts and Technologies work package already defined in the BMD PRD 2026. The first year will focus on (T)BMD use cases and operational challenges, examining innovative concepts and emerging technological approaches from leading industry and academic institutions.
• The team of contractors will be producing deliverables as part of the NCIA project team that executes the Allied Command for Transformation (ACT) Programme of Work (PoW) 2026 for BMD. The academic partner will contribute to deliverables with his/her AI research expertise and scientific rigour to the feasibility study, ensuring state-of-the-art approaches are considered and responsibly evaluated.

Role Duties and Responsibilities

• Leading the identification and scoping of AI/ML use cases applicable to (T)BMD fire- control coordination and IAMD operational challenges.
• Reviewing existing NIAG SG300 reports and TBMD simulation data to establish baseline knowledge and identify relevant datasets.
• Designing a baseline data architecture and methodological framework for the responsible use of advanced AI technologies within the BMD domain, informed by NATO’s current AI architecture and near-term plans.
• Conducting feasibility studies on emerging AI/ML computational techniques (such as machine learning, deep learning, reinforcement learning, and large language models) and assessing their potential operational benefit for identified use cases.
• Developing and evaluating AI/ML software prototypes and demonstrators for selected BMD use cases at NATO UNCLASSIFIED level in the NATO Software Factory (NSF). All development to take place in NSF and to use existing LLMs where needed (to make it easier to migrate to NS).
• Preparing and providing subject matter (BMD AI) briefings, expert reports, and feasibility study documentation related to the project work.
• Developing and documenting a responsible AI framework aligned to the NATO Principles of Responsible AI Use (PRU), as outlined in the NATO AI Strategy, but specifically tailored to the BMD context. This work should follow NATO ambition and align with existing work on the topic as required.
• Planning and delivering subject matter (BMD AI) training and knowledge transfer sessions to the NCIA project team and a wider NCIA community, focusing on the BMD case. NCIA will share currently available AI training material with the contractor team.

Deliverables base period:

• D1- The team of contractors will deliver the following services and products for the BMD AI feasibility study (Year 1 – Feasibility and Architecture Definition phase):
  • Review of existing SG300 reports and TBMD simulation data, and identification of relevant datasets.
  • Scenario and use-case definitions (e.g. target characterisation, trajectory estimation, engagement coordination).
  • Feasibility Study Report v1 – documenting assessed AI/ML approaches and their applicability.
  • Kick-off and Review Meeting Minutes.
  • System Architecture Document – defining a baseline data architecture and methodological framework for responsible use of advanced AI technologies.
  • AI/ML algorithm evaluation and benchmarking report for identified use cases.
  • Software prototype – alpha release for at least one identified use case.
  • Progress briefing to NCIA project team.

• D2- The team of contractors will deliver the following services and products (prototype validation, knowledge transfer and roadmap phase):
  • Updated Feasibility Study Report v2 – incorporating findings from prototype testing.
  • Software prototype – beta release with demonstrated performance against identified scenarios.
  • Technical expert report documenting evaluation results and recommendations.
  • Supporting and participating in product demonstrations at relevant meetings and conferences.
  • Final Feasibility Study Report – with conclusions and recommendations for implementation at NATO CLASSIFIED level.
  • Technology Roadmap document for further development and integration of AI solutions in BMD capability.
  • Aligning to NCIA’s Principles of Responsible AI Use framework documentation, covering ethics, explainability, and governance considerations.

Deliverables option period 2027:

• D1- The team of contractors will deliver the following services and products:
  • Refined scenario and use-case specifications based on Year 1 findings.
  • Advanced software prototype – alpha release for expanded set of AI/ML use cases.
  • Review and update of data architecture framework.
  • Kick-off and review meeting minutes.
• D2- The team of contractors will deliver the following services and products:
  • Advanced software prototype – beta release with extended functionality.
  • Integration study report – assessing integration pathways into existing BMD BMC3I systems.
  • Validation and verification report for AI/ML models against operational scenarios.
• D3- The team of contractors will deliver the following services and products:
  • Updated software prototype with operator-in-the-loop testing results.
  • Operator feedback report and user acceptance assessment.
  • Participation in product demonstrations at relevant NATO meetings and conferences.
• D4- The team of contractors will deliver the following services and products:
  • Annual summary report on AI/ML prototype maturity and readiness for further NATO development.
  • Updated technology roadmap and recommendations for Year 3.
  • Training session on BMD AI developments and prototype demonstrations for NCIA project team.

Deliverables option period 2028:

• D1- The team of contractors will deliver the following services and products:
  • Final software demonstrator release – consolidated AI/ML solution package.
  • Comprehensive technical documentation for implementation teams.
  • Updated framework to show how responsible AI is addressed for these use cases, with lessons learned.
• D2- The team of contractors will deliver the following services and products:
  • Transition and integration support report for NCIA programme-level teams.
  • Final validation report against all identified operational use cases.
  • Publication-ready technical report for NATO scientific community.
• D3- The team of contractors will deliver the following services and products:
  • Transition and integration support report for NCIA programme-level teams.
  • Final validation report against all identified operational use cases.
  • Publication-ready technical report for NATO scientific community.
• D4- The team of contractors will deliver the following services and products:
  • Transition and integration support report for NCIA programme-level teams.
  • Final validation report against all identified operational use cases.
  • Publication-ready technical report for NATO scientific community.

Essential Skills, Experience and Certifications

• More than 10 years of professional experience in software engineering, AI/ML system development, or related technical disciplines, with demonstrated expertise in the full software development lifecycle.
• Hands-on expertise in AI/ML frameworks and tools, including but not limited to: PyTorch, TensorFlow, scikit-learn, or equivalent. Demonstrable experience implementing and evaluating ML models in production or research environments.
• Strong proficiency in software development using one or more of the following languages and frameworks: Python, Java, C#/.NET, JavaScript/TypeScript. Experience with backend frameworks such as Spring Boot, or equivalent enterprise-grade platforms.
• Experience in the design and development of distributed software architectures, including microservices, RESTful APIs, cloud-native components (AWS, Azure, or equivalent), and containerised deployment using Docker and Kubernetes.
• Experience in research project management, including contribution to research proposals, scientific studies, project planning, and reporting in a technical or academic context.
• Demonstrated ability to design, implement, and evaluate AI/ML software prototypes and demonstrators, including documentation of technical results in reports and specifications.
• Experience working in project teams with international composition, including both military and civilian stakeholders, and adapting to different organisational environments.
• Experience contributing to NIAG (NATO Industrial Advisory Group) studies or equivalent NATO science and technology activities.
• Candidate must have the nationality of one of the NATO nations.

Education

• University degree in Computer Science, Computer Engineering, Software Engineering, or a closely related field. A PhD in a relevant discipline is preferred.

Language

• Excellent command of spoken and written English.

Desired Skills, Experience and Certifications

• Experience with NATO C4ISR systems or defence-related software development, including familiarity with relevant standards and mission application architectures (e.g. BMC3I systems, JCHAT, XMPP, Link16, NVG).
• Experience with AI/ML use cases relevant to the defence domain, such as signal classification, anomaly detection, trajectory prediction, or multi-sensor data fusion.
• Experience with knowledge graph technologies, vector databases, semantic search, and retrieval-augmented generation (RAG) systems, particularly for large-scale data analysis applications.
• Familiarity with responsible AI principles, including model explainability techniques (SHAP, LIME, attention visualisation), fairness metrics, and AI governance frameworks.
• Experience with agile development methodologies and collaborative software development practices (e.g. Git, CI/CD pipelines, code review).
• Knowledge of NATO responsibilities and organisation, including ACT and ACO.
• Prior working experience in an international environment comprising both military and civilian elements.

Working Location

• Remote

Working Policy

• Offsite

Travel

• Some travel to other NATO sites may be required

Security Clearance

• Not required

Location:. This role is based remotely as a full-time employee in the UK, Ireland, Estonia, Netherlands, Sweden, Spain, Israel and North America (eastern or central time zones). We are also open to contractors in East Europe and Portugal.

Who We Are

DoiT is a global technology company that works with cloud-driven organizations to leverage the cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state - from planning to production. 

Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency.

With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide. 

About DoiT's PerfectScale Platform

DoiT offers PerfectScale, a pioneering Kubernetes optimization and management solution that empowers DevOps, SRE, and Platform Engineering teams to optimize cloud performance while minimizing costs. We combine advanced AI technology with SME-human expertise to help organizations achieve peak Kubernetes efficiency.

The solution delivers a seamless onboarding experience, an intuitive UI, and a powerful autonomous optimization engine that ensures Kubernetes environments run efficiently with minimal human intervention.

The Opportunity

As a Product Manager, you will be responsible for ensuring clear, well-defined requirements that enable the engineering team to execute efficiently. You will work closely with R&D to bridge the gap between product vision and development, ensuring sprint readiness and alignment with business objectives. This role requires proactive engagement with stakeholders to remove roadblocks, refine priorities, and drive a structured approach to product execution, preventing delays and ensuring timely delivery of impactful features.

If you want to be on the cutting edge of innovation in B2B SaaS, this is a role for you.

Responsibilities

• Write clear, well-defined requirements, user stories, and flows that enable the engineering team to execute them efficiently and effectively.
• Work closely with engineering teams to define, prioritize, and deliver impactful features.
• Collaborate with internal and external stakeholders to refine product-market fit and enhance user experience.
• Analyze customer feedback, usage data, and industry trends to drive continuous improvement.
• Define success metrics, track adoption, and iterate based on performance insights.
• Partner with marketing and sales to craft compelling go-to-market strategies.
• Act as the customer’s advocate internally, working with cross-functional teams to drive successful implementation, adoption, growth, and renewals.
• Influence and contribute to PerfectScale’s integration within DoiT’s ecosystem.

Qualifications

• 3+ years of product management experience in Kubernetes.
• Strong technical knowledge of Kubernetes, cloud-native architectures, and containerized environments.
• Experience collaborating with engineering teams in an Agile development environment.
• Ability to analyze data, extract insights, and drive data-informed decisions.
• Excellent communication skills, with the ability to engage both technical and business stakeholders.
• Experience in post-acquisition integration or scaling a product within a larger ecosystem is a plus.

Are you a Do’er?

Be your truest self. Work on your terms. Make a difference. 

We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally.  

What does being a Do’er mean? We’re all about being entrepreneurial, pursuing knowledge, and having fun! Click here to learn more about our core values. 

Sounds too good to be true? Check out our Glassdoor Page.

We thought so too, but we’re here and happy we hit that ‘apply’ button. 

Full-time employee benefits: 

• Unlimited PTO
• Flexible Working Options
• Health Insurance
• Parental Leave
• Employee Stock Option Plan
• Home Office Allowance
• Professional Development Stipend 
• Peer Recognition Program

Many Do’ers, One Team

DoiT unites as Many Do'ers, One Team, where diversity is more than a goal—it's our strength.

We actively cultivate an inclusive, equitable workplace, recognizing that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success.

#LI-Remote

About the role and team

At Catawiki, we’re building an internal developer platform that enables our engineering teams to move fast without compromising on reliability or security.

As a Senior Software Engineer in our Developer Experience (DevEx) Platform team, you will design and build the tooling, systems, and abstractions that power how engineers develop, deploy, and operate services at scale.

This is not a traditional DevOps or SRE role,  it’s a software engineering role focused on improving developer productivity and platform capabilities.

You’ll work at the intersection of software engineering and infrastructure, helping product teams ship faster by removing friction and building scalable internal platforms.

What You’ll Do 

Your work as a Senior Platfrom Engineer (DevEX)  will shape how Catawiki teams deliver value to customers, fostering speed, reliability, and security in everything they build.

Build a Self-Service Developer Platform: Design and maintain self-service platforms that abstract complexity, empowering teams with the tools they need to seamlessly deploy, monitor, and optimize their applications.

Orchestrate Cloud-Native Infrastructure: Manage our Kubernetes clusters and other cloud resources, ensuring performance, scalability, and cost efficiency with FinOps.

​​Boost Developer Productivity: Build and enhance CI/CD pipelines, GitOps workflows, and reusable templates to accelerate development and deployment cycles.

Drive Reliability and Scalability: Implement best practices for fault tolerance, disaster recovery, and scaling, ensuring that applications run smoothly and efficiently under all conditions.

Monitor and Improve Platform Operations: Use and enhance observability stack to ensure platform health and resolve incidents proactively.

Collaborate and Innovate: Collaborate with product teams to understand their needs and build solutions that empower them, while evangelising cloud-native best practices within Catawiki.

Who You Are 

You measure everything, implement gradual changes, and accept failure as normal. Being allergic to toil, you leverage tooling and automation. You enjoy sharing knowledge and helping others. Next to this you are:|

Cloud-Native Adept: Proficient in Kubernetes, cloud platforms (e.g. GCP, AWS, Azure), and container orchestration with a minimum of 2 years of production experience.

Automation Advocate: Skilled in automating workflows, CI/CD pipelines, and infrastructure as code (e.g., Terraform, Ansible).

Observability Believer: You are experienced in using and maintaining observability stacks (e.g. Prometheus, Grafana, ELK, OpenTelemetry) to ensure platform reliability, performance, as well as insight-driven improvements.

Ownership is your middle name: You have a strong sense of ownership for platform performance, proactively addressing issues and striving for long-term scalability and resilience.

Collaborative Thinker: A team player who works effectively with developers and cross-functional teams to align goals and deliver impactful yet simple solutions.

Adaptable Learner: While it’s practically impossible to keep up with all developments in the cloud-native ecosystem, you strive to continuously evolve with new tools, technologies, and best practices.

THE ROLE

Everpure is seeking a Cloud and Data Services Account Executive to accelerate growth of the Portworx and Everpure Cloud across our EMEA (North) accounts. You will own a number of named customers and prospects, build and execute multi year account plans, and drive platform adoption with a focus on business outcomes such as resilience, risk reduction, faster application delivery, and operational efficiency.

You will work closely with cross functional teams across Everpure and the Cloud and Data Services team, including Systems Engineering, Customer Experience, Marketing, Partner teams, Product, and field leadership. This is a high impact individual contributor role with a strong emphasis on strategic planning, disciplined execution, and customer intimacy.

WHAT YOU'LL DO

• Own and grow a portfolio of enterprise and commercial accounts, delivering against annual and multi year revenue targets.
• Build and execute account plans that map buying centres, application priorities, Kubernetes roadmaps, and transformation programmes.
• Develop executive relationships across CIO, CTO, CISO, Head of Infrastructure, Platform Engineering, SRE, and Application leaders.
• Lead complex sales cycles from discovery through close, including security, risk, procurement, architecture review, and legal processes.
• Position Portworx around measurable outcomes: application resilience, ransomware recovery, data protection, regulatory compliance, cloud portability, and modernisation at scale.
• Orchestrate account teams and partner ecosystems, including GSIs, cloud providers, and regional partners, to drive pipeline creation and deal execution.
• Run a rigorous, value based sales process tailored to cloud native software, with accurate forecasting and strong hygiene in Salesforce and forecasting tools.
• Partner with Customer Experience to expand adoption post sale, identify expansion triggers, and build customer advocacy within the Manufacturing and Automotive community.
• Stay ahead of competitive dynamics in Kubernetes data services, backup and recovery, and container storage, using insights to sharpen strategy and messaging.
• Represent Portworx in customer meetings and relevant industry events, with a field first mindset.

WHAT YOU BRING

• Proven enterprise software sales experience, with a track record of closing and expanding high value, multi stakeholder deals in large organisations.
• Demonstrable experience selling into commercial & enterprise accounts, with an understanding of procurement, governance, risk, and security requirements.
• Strong grasp of cloud native concepts and the Kubernetes ecosystem, plus the ability to credibly engage architects and platform teams.
• Experience selling to both technical and executive stakeholders, translating technical capabilities into business value and risk outcomes.
• Disciplined pipeline generation, qualification, deal management, and forecasting, with strong operational habits in SFDC.
• Comfort working in a matrixed environment, influencing cross functional teams without direct authority.
• Strong communication and programme management skills, with clear account planning and stakeholder alignment.
• A customer first mindset and a bias for action, with resilience and curiosity.
• Business proficiency in both local language (Dutch, Swedish or Danish) and English.

Why You'll Love This Role

Cribl is seeking a Professional Services Consultant. We are a fast-growing, remote-first company with a mission to unlock the value of all observability data. At our core, we believe in shipping phenomenal products and doing good by our customers and communities. We provide our customers with a new and unprecedented level of observability, intelligence, and control over their real-time data. We're backed by Sequoia and CRV, and our products are deployed in some of the largest organizations in the world processing 100s of TB and PB of IT & Security data, and managed by Site Reliability Engineers, System Engineers, and Technical Operations teams.

In this role, you'll be helping customers strain valuable data from discardable data.  You’ll be instrumental in shepherding customers that are starting out on their Cribl journey and also in helping established customers uncover even more value. You will have the ability to interact and see new technology and solutions from our vast and diverse customer base. Are you excited to help? We certainly are at Cribl.

As An Active Member Of Our Team, You Will…

• Demonstrate technical leadership and authority in the areas of observability and/or security.
• The opportunity to be the thought leader in driving complex deployments of Cribl products while working side by side with the customers to resolve their unique problems.
• Work with a team of incredibly talented and dedicated peers, all the way from the Engineering, Sales Engineering, Support and Customer Success Engineers.
• Lead and execute complex customer engagements, serving as the technical authority, and ensuring successful architecture, design, development, deployment, operationalization, and documentation.
• Enhance Cribl's learning ecosystem by creating valuable resources such as best practice documentation, informative blog posts, comprehensive runbooks, engaging workshops, and effective customer training materials.
• Facilitating knowledge transfer, enablement, coaching, and mentoring for team members, customers, and/or partners.
• We are a remote-first company and work happens across many time-zones – you may be required to occasionally perform duties outside your standard working hours

If You’ve Got It - We Want It

• Minimum 5 years of hands-on experience in technical consulting or big data analytics, demonstrating proficiency in advanced technical concepts and methodologies.
• Extensive expertise in deploying and managing AWS/AZURE/GCP Cloud environments, including advanced configuration and optimization techniques.
• Exceptional command over Big Data Analytics tools such as Splunk, Elastic, Grafana, DataDog, Exabeam, and Azure Sentinel, with a deep understanding of their technical intricacies and practical applications.
• Proven track record of working with complex Enterprise applications, including proficiency in deploying and managing Kubernetes, Docker, and other automation technologies.
• In-depth knowledge and experience with both Unix and Windows operating systems, proficient in utilizing command line interfaces and GUIs to accomplish complex tasks.
• Proficient in scripting languages such as JavaScript, with recent experience developing scripts and automation workflows.
• Ability to effectively communicate and engage with a diverse range of stakeholders, including technical personnel like administrators, as well as executive-level partners, demonstrating strong interpersonal and presentation skills.
• Passionate about delivering exceptional customer experiences and solving complex technical challenges, consistently going above and beyond to meet and exceed customer expectations.
• BONUS POINTS:
• Ability to thrive in a dynamic, fast-growing environment while working independently and remotely from other members of your team
• Relevant software industry experience in any of the following: IT systems, enterprise or infrastructure management, application development and management, security, and/or analytics

Salary Range

The salary for this role is dependent on geographic location. The salary offered within the range described will be based on the individual candidate’s job-related knowledge, skills, and experience. In addition to a competitive salary, Cribl also offers a generous benefits package which includes health, dental, vision, short-term disability, and life insurance, paid holidays and paid time off, a fertility treatment benefit, 401(k), equity, and eligibility for a discretionary company-wide bonus.

#LI-KM1
#LI-Remote

Reddit has a flexible first workforce! if you happen to live close to our physical office location our doors are open for you to come into the office as often as you'd like. Don't live near one of our offices? No worries: You can apply to work remotely from the Netherlands.

We are looking for a skilled backend software engineer to join the Product Catalogs team. Our team builds products and infrastructure that enable retail advertisers to succeed on Reddit. On our team, you’d work projects like:

• Catalog System Scaling - In order to support larger and more sophisticated advertisers, we must scale our system to support millions of products per customer. You’ll have the opportunity to perform load testing, identify bottlenecks, and deploy optimizations to make these customers successful.
• Catalog Management - With millions of products, advertisers need tools to manage those products, identify errors, and build campaigns based on subsets of products.
• Product Enhancement - Leveraging AI, LLMs and Reddit organic data to make our products more appealing to users by showcasing products popular with Redditors, enhancing product image backgrounds with GenAI, and much more!

Technologies used on the team include:

• Languages: Python, Scala, Go
• Frameworks: gRPC, Thrift, Baseplate, Kafka
• Datastores: Postgres, BigQuery, Redis, TiDB
• Tools: Kubernetes, Airflow

Responsibilities:

• Develop, maintain, and scale our product catalogs backend
• Contribute to the development of features to make our product easier to use
• Produce robust and sustainable code and demonstrate proficiency in debugging systems beyond your immediate responsibilities.
• Uphold high-quality standards within the team.

Required Qualifications:

• A Bachelor's degree or equivalent experience in a quantitative or computer science-related field (e.g., mathematics, statistics, economics, finance, computer science)
• 4+ years of full-time backend software engineering experience in a scalable computing environment
• Experience in backend development, with a passion for learning and adapting to new technologies that you lacked prior experience with
• Strong communication and collaboration skills, with the ability to work effectively with diverse stakeholders independently

Nice to Have:

• Prior experience in the ads or ecommerce space

If you're a talented software engineer looking for a new challenge, and you're passionate about building scalable systems and great customer experiences, we encourage you to apply for this exciting opportunity!

What We Offer:

• A dynamic, supportive work environment with a diverse team of engineers and cross-functional partners
• Opportunities for professional growth and development, with a focus on continuous learning and skill-building
• A competitive salary and benefits package, with a focus on work-life balance and employee well-being
• Flexible work arrangements, including remote work options, to support your individual needs and preferences
• The chance to work on high-impact projects that drive real results for our users and advertisers

Benefits:

• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Private Pension plan with Employer-matching
• 100% employer-sponsored group medical plan  
• Income Replacement Programs
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

Why this role?

Our Erlang- and Elixir stack are critical parts of our platform, but the talent pool for engineers who understand the BEAM ecosystem and CI/CD/infrastructure is extremely small. This is a hard-to-fill but high-impact hire. The right person will own reliability and delivery for a stack that is central to our operations.

Overview

We're looking for a DevOps/SRE Engineer with hands-on experience in the Erlang and/or Elixir ecosystem to join Release Engineering. You'll own the build, test, and release pipelines for our BEAM-based services and ensure our delivery practices meet the same standard as the rest of the platform.

What You'll Do

• Own and evolve CI/CD pipelines for Erlang (Betler) and Elixir (Argo Workflows) services, from build through production deployment.
• Build and maintain base Docker images, release packaging, and deployment automation for BEAM-based applications.
• Collaborate with application teams to define and enforce release standards, quality gates, and rollback strategies for Erlang/Elixir services.
• Improve observability and reliability of the BEAM stack: build monitoring, deployment health checks, and incident response tooling.
• Contribute to migration efforts as we consolidate and modernize delivery infrastructure across stacks.

What We're Looking For

• 5+ years of experience operating, building, or deploying Erlang and/or Elixir applications in a production environment.
• Strong understanding of the BEAM VM, OTP patterns, hot code upgrades, and release management (rebar3, Mix releases).
• Hands-on experience with CI/CD systems (GitHub Actions, GitLab CI, Jenkins, Argo, or similar) and containerized deployments (Docker, Kubernetes).
• Infrastructure-as-code experience (Terraform, Helm, or similar).
• Comfortable working across the full delivery lifecycle, not just ops, not just dev.

Nice to Have

• Experience building or maintaining base images and build tooling for BEAM applications.
• Familiarity with multi-stack environments where Erlang/Elixir coexists with Go, JS/TS, or other runtimes.
• Background in high-availability domains (betting, gaming, fintech, telecom) where uptime directly impacts revenue.
• Experience with Argo Workflows or similar workflow orchestration platforms.

We're looking for a Senior Software Engineer to join our Application Frameworks team.

This is an exciting opportunity to help implement the common application development tool kits and frameworks (which internally we call Meta) that will be leveraged across all teams within Happening engineering. Your work will streamline building products, maintaining operational excellence, and meeting the needs of handling millions of interactions of end customers daily, built by hundreds of teams across the organization.

You will be working alongside talented engineers to create foundational libraries and tools that will set the standard for application development across the entire company.

What You'll Do

• Design and develop application frameworks and SDKs. Create reusable libraries, components, and tools that will empower engineering teams to build robust, scalable applications more efficiently.
• Implement best practices for Kubernetes optimization. Build applications that are optimized to run on k8s, taking into consideration state, restarts, continuous delivery, and GitOps principles.
• Create storage system integrations. Develop interfaces and abstractions for various storage technologies including relational databases, NoSQL, and event-driven or streaming architectures like PubSub.
• Drive technical standards. Collaborate with teams across the organization to establish and promote engineering best practices, coding standards, and architectural patterns.
• Support adoption and provide guidance. Help engineering teams successfully adopt our frameworks and tools through documentation, examples, and direct assistance.

What We're Looking For

• At least 5 years of software engineering experience with a focus on building maintainable, scalable systems.
• Strong proficiency in Go, Erlang, Elixir, or TypeScript with the capability and drive to learn new languages as needed.
• Experience building SDKs and Libraries ideally in a professional capacity or in open source projects with reasonable traction.
• Kubernetes expertise for building applications optimized to run on k8s, taking into consideration state, restarts, continuous delivery, and GitOps principles.
• Database and messaging system knowledge for building apps that leverage storage systems with relational databases, NoSQL, event-driven or streaming architectures like PubSub.
• Impact-driven mindset. You prioritize what's good for the business and supporting product engineers over working with trendy technologies.
• Commitment to simplicity. You strive for creating solutions that are simple to use and maintain, avoiding unnecessary complexity.
• Operational excellence focus. You're comfortable in an environment where operational excellence—from running software to adhering to team working cadences—is critical for sustainable success.
• Strong communication and collaboration skills. You can effectively work with diverse engineering teams and explain complex technical concepts to various stakeholders.

In a nutshell

At Picnic, we’re redefining how people buy groceries by making shopping effortless, sustainable, and fun! Our Consumer domain is at the heart of this transformation, creating customer-facing features that delight millions of users across Europe.

From developing personalized shopping experiences, like our Meal Planner, to building engaging loyalty programs, we focus on delivering a high-quality, intuitive user experience by building scalable solutions with the latest tech. If you’re passionate about building impactful products used by millions daily, this is the place for you!

Tricks of the trade

• Ownership: Take ownership of projects from concept to production. Work collaboratively, grow alongside your team, and contribute to the team’s success.
• Impact: Develop solutions that make shopping smarter, faster, and more intuitive. Your code will power seamless, scalable, and personalized interactions for millions of users.
• Agility: Thrive in a fast-paced environment where you learn and use a wide variety of tools and platforms to build the best tech for our customers.
• Amplification: You’ll share knowledge, empower your colleagues and multiply your impact beyond what you could achieve on your own.
• Platform thinking: Build technology that empowers developers and business analysts alike to develop flexible features. (Check out our blog post!)
• Our Tech: You’ll work with Java and TypeScript on a daily basis, using frameworks like Spring (Spring with Spring Boot, Reactor, Immutables) and React. Supporting this core stack are GraalVM, Apache Calcite, Maven, Python 3.x, MongoDB, PostgreSQL, RabbitMQ, Kafka, Git, Docker, Kubernetes, AWS, Helm, Terraform, Vault, and Datadog.

We’re looking for

• You have a Master’s Degree (in Computer Science, Artificial Intelligence, Information Technology, Computer Engineering or a related technical field) or equivalent experience.
• You have 5+ years of professional experience in Java.
• You have a product mindset and treat technology as a means to an end, owning and solving business problems by choosing the best-fitting technical solutions and tools for each challenge.
• You are fluent in working with AI and can effectively accelerate your output with orchestrated agentic workflows.
• Your English skills are on point (no Dutch required).

Picnic Perks

✍🏼 Every expert was once a beginner! 

You’ll get plenty of opportunities to challenge yourself and grow, including the Picnic Tech Academy, Lunch & Learn sessions, and tailored soft skills training. We also offer free professional weekly language courses.

💡 Make a difference

You’ll work in an awesome startup environment with the freedom to drive your own projects and create a visible impact. Our fully electric vehicles and sustainable business model mean you’ll also be contributing to making the world a better place! 

🫱🏼‍🫲🏾 Teamwork makes the dream work

With more than 80 nationalities across 3 countries, you’ll be part of a diverse company with plenty of cool stuff to get involved with, from board game evenings to after-work drinks to our company ski trip and more!

🍎 You are what you eat

You’ll get freshly prepared, healthy lunches and snacks (with plenty of vegetarian, vegan, and halal options). Coffee snob? Don’t worry, our amazing Picnic barista has you covered.

🚴🏽 Stay healthy 

Mental health is important. As well as having the option to speak with Picnic colleagues who act as confidential advisors, our collaboration with OpenUp gives you easy access to professional psychologists, along with workshops and materials. There are plenty of sports communities and events to get involved with, from tennis to yoga, to climbing! 

🔋 Attractive package

We offer competitive compensation and a pension plan that looks out for your future self, as well as 25 vacation days per year, so you can recharge your batteries 

🌍 Benefits for expats 

It can be daunting starting a new job AND moving to a new country. That’s why we offer lots of support for our many expat colleagues, if you want to find our relocation benefits, see here.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. We share our technical and product expertise with customers through demos, presentations, technical evaluations, and ongoing support. Technical solutions is a growing global team that collaborates constantly to share knowledge and continuously advance our technical skillset.

The Logs family of products represents a strategic evolution in how organizations manage and analyze logs at scale while meeting stringent data residency, compliance, and cost requirements. The Product Solutions Architect (PSA) will work closely with Datadog customers, Logs Product team, and the CloudPrem product team to architect, implement best practices, and drive adoption of the log management suite.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Serve as the Product Expert on Logs, CloudPrem, and Observability Pipelines
• Offer guidance on architecture choices, data collection, and best practices to large Enterprise customers as they adopt these Datadog services across the organization at scale
• Design and validate hands-on, production-ready architectures spanning cloud infrastructure, Kubernetes platforms, and customer-managed environments
• Actively identify opportunities to simplify, optimize, and standardize deployment patterns, reducing operational complexity for customers through architectural guidance and best practices.
• Be a Trusted Advisor to Product Management by providing high quality feedback based on your field experience working closely with our Support, Partners, and Customers
• Capture repeat customer use cases and solutions and in turn publish Reference Architectures, automation patterns, and Implementation Guides for Datadog prospect and customer consumption
• Build world class training material, solutions briefs, blogs, and documentation to the wider Datadog field technical teams over the latest product features and capabilities
• Collaborate with other teams at Datadog including Marketing, Sales, Community, Documentation, and Evangelism to ensure the success of the Log Management product family
• Exercise the products you represent by building hands-on proof of concepts, small scale deployments  to validate solutions and reproduce customer environments
• Engage deeply with customers, feeling their operational pain points and driving solutions that measurably improve reliability, scalability, and day-to-day operations

Who You Are:

• Someone with strong hands-on experience with tools such as Kubernetes, including cluster architecture, networking, storage, and operational best practices.
• Someone with strong knowledge of cloud infrastructure fundamentals, including networking, compute, storage, and distributed system design.
• Someone familiar with Security, Governance, and Compliance requirements for industry verticals
• Someone who can dive deep into our Codebase, SDKs, and GitHub workflows to understand, debug, and influence product behavior
• Experience with languages like Python and/or Rust, and file formats such as JSON and YAML
• A self-starter, tech-savvy professional, who is comfortable working with bleeding edge technology and processes, even if it hasn’t been well defined
• A deep learner and a Subject Matter Expert today that has built advocacy and knowledge across multiple teams with the knowledge you possess 
• Fluent in understanding the observability market domain, competition, technological shifts, and customer needs
• Someone who values getting things done, taking ownership from problem definition through implementation and outcome
• Highly detail-oriented, especially when working on architectures, documentation, and customer-facing solutions
• A person who possesses exceptional listening and consultative skills, for both internal and external audiences
• Experienced working with customers in high pressure situations where the solution is sometimes not obvious - caring about customer pain and motivated to solve hard problems on their behalf
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train, or air up to 40% of the time 

Bonus Points:

• Successful track record with 5+ years experience working as an Architect or Consultant 
• Experience using Datadog and/or other observability tools in an SRE or DevOps capacity
• Have recent experience deploying solutions in production environments at scale
• Strong knowledge or experience with Splunk, Elastic, Opensearch, SumoLogic, Vector, Cribl, Quickwit

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

About the Role:  

Veeam, following its acquisition of Securiti AI - the leader in AI-powered data security posture management (DSPM) - is seeking a Senior Sales Engineer to drive technical leadership in our sales team, focusing on the Securiti AI portfolio. You will partner with a Securiti Sales Specialist and support 3–5 Account Executives and Veeam Solution Engineers as the technical subject matter expert. 

You will guide customers from needs assessment to solution design, delivering hands-on demos and proof-of-concepts to showcase value. Success in this role requires strong technical skills and the ability to build trust with clients. 

What You’ll Do: 

• Act as the primary technical contact for Securiti AI solutions during the sales cycle
• Lead technical discussions and deliver customized security solutions
• Address customer needs in data discovery, posture management, and compliance
• Design and present product demonstrations and proof-of-concepts
• Collaborate with product, engineering, and customer success teams to ensure smooth transitions 

What You’ll Bring: 

• Significant experience in pre-sales or sales engineering
• Strong understanding of data and/or cloud security
• Effective communicator with both technical and business stakeholders
• 10+ years technical sales experience in security
• 15+ years in Software/SaaS/Enterprise technical sales
• Hands-on experience with AWS, Azure, or GCP
• Knowledge of data privacy/security standards (e.g., GDPR, NIST 800-53, ISO 27001)
• Experience with DSPM frameworks, Linux, Kubernetes, or cloud data systems
• Relevant certifications (CISSP, CISM, or cloud-specific) 

What You’ll Get 

• 26 paid vacation days,  plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Annual allowance for private healthcare plan
• Supplementary pension scheme with employer and employee contributions
• Long-term sickness coverage: salary protection for up to two years
• Enhanced disability income protection through WIA and WGA gap insurance
• Access up to 12 free therapy sessions annually, plus legal and financial advice
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning

Please note: If an applicant is permanently located outside of Netherlands, Veeam reserves the right to decline the application for this position. #LI-DF1 #LI-REMOTE

An overview of this role

GitLab is seeking a Principal Engineer to set technical direction for our most critical infrastructure platforms. This role operates at organizational scale, owning architecture, solving complex systems problems, and driving initiatives that shape how GitLab grows, performs, and remains reliable.

As a Principal Engineer, you will serve as a technical authority and force multiplier, leading architectural decisions across distributed and cloud-native systems to translate business strategy into durable technical direction. Spanning multiple teams and domains, you will bring clarity to ambiguity, raise engineering standards, and mentor senior talent while remaining accountable for real production outcomes. This is a hands-on, high-impact role for leaders who drive success through influence and shape the foundational platforms that the entire organization depends on.

Organizational Focus Areas

Principal Engineers at GitLab drive strategy across our most critical infrastructure and delivery groups. Role placement across the following tracks is determined by business need and organizational priority.

Group Tenant Scale (GTS)

This track builds GitLab’s next generation, multi-tenant, horizontally scalable, and resilient SaaS platform. You will architect the foundations that enable other engineering teams to build upon this platform and drive convergence among GitLab’s various platforms..

• Core Focus: Lead the design and evolution of projects that enable our distributed, multi-tenant SaaS transformation, including Cells, Organizations, and OrgMover.
• Distributed Architecture: Architect for zero downtime, transparent relocation, and application hardening in a massive distributed environment.
• Strategic Decisions: Guide architecture decisions with availability, reliability, resiliency, performance, and cost in mind.

GitLab Delivery 

The GitLab Delivery track focuses on enhancing the reliability, efficiency, and speed of GitLab’s end-to-end software delivery across all platforms and offerings.

• Core Focus: Lead the platform strategy spanning Developer Experience, CI infrastructure, packaging, and release delivery across SaaS, Self-Managed, and Dedicated.
• Developer Experience: Treat GitLab engineers as customers, building self-service tooling, testing infrastructure, and paved paths that increase velocity while maintaining quality.
• Delivery at Scale: Architect reliable, automated pipelines that streamline how GitLab is packaged, released, and deployed across all platforms and offerings.

What You'll Do

• Own and drive the architectural direction for critical infrastructure platforms that support GitLab at global scale.
• Lead the design and evolution of large platforms and distributed systems that are scalable, resilient, secure, and cost-efficient.
• Serve as the technical authority on complex initiatives, guiding decisions that impact multiple teams and product areas.
• Translate business and product strategy into long-term technical roadmaps and execution plans.
• Drive alignment across engineering, product, and leadership by clearly communicating tradeoffs and recommendations.
• Establish technical standards and architectural patterns that raise quality and consistency across the organization.
• Be accountable for production outcomes, including reliability, performance, and operational excellence.
• Mentor senior engineers and act as a force multiplier through influence rather than direct authority.
• Operate effectively in ambiguous problem spaces where both the problem and the solution need to be defined.

What You'll Bring

• Proven experience designing and evolving large-scale platforms or distributed systems in cloud-native environments.
• Strong proficiency in Golang and/or Ruby, with the ability to contribute to, review, and guide core architectural changes in production codebases.
• Strong architectural judgment, including the ability to balance scalability, reliability, performance, security, and cost.
• Experience owning platform-level technical decisions that impacted multiple teams or an entire engineering domain.
• Solid understanding of Kubernetes-based environments as a production platform, including how they influence system design, deployment models, reliability, and operational complexity.
• Experience being accountable for production systems, not just design recommendations.
• Ability to author and drive long-term technical strategy and multi-month roadmaps.
• Track record of leading through influence and shaping technical direction without direct authority.
• Comfort making high-impact technical decisions, including build vs buy vs partner tradeoffs.
• Strong communication skills, with the ability to explain complex technical concepts to engineers, leadership, and non-technical stakeholders.

About the team

The Principal Engineer role sits within GitLab’s Infrastructure Platforms organization, working across multiple teams to shape how our platform scales and operates. This group is responsible for some of GitLab’s most critical systems, including the multi-tenant SaaS platform, core delivery pipelines, and the underlying infrastructure that powers millions of users. As a Principal Engineer, you’ll define technical direction, guide architectural decisions, and ensure our platforms remain resilient, performant, and modern. The team operates fully remotely and collaborates asynchronously across time zones, grounded in GitLab’s values of transparency, autonomy, and open communication. You’ll help the organization tackle complex distributed systems challenges at scale while mentoring other engineers and building a culture focused on reliability, efficiency, and continuous improvement.