Available Locations: London (hybrid), the Netherlands (remote), Paris, or Munich

About the Role

Cloudflare’s Forward Deployed Engineers (FDEs) operate at the intersection of product engineering and customer impact.

As an FDE, you will be embedded within one of Cloudflare’s most strategic global customers, working side-by-side with their engineering teams to build and deploy solutions using Cloudflare’s platform. Unlike traditional Solutions Architects or consultants, you will write production code, shape technical architecture, and directly influence how Cloudflare products are used at massive scale.

You will operate as a technical extension of both organizations - helping the customer ship faster while surfacing real-world product insights back to Cloudflare engineering.

This role is ideal for engineers who want to:

• Stay deeply technical
• Work on real production systems
• Influence product direction
• Build long-term partnerships with world-class engineering teams

Responsibilities

• Deep Technical Embedding: Serve as the dedicated, long-term technical partner within a strategic customer’s engineering organization, operating as a trusted extension of their team.
• Production-Level Engineering: Design, build, and deploy production-ready code and configurations directly into customer infrastructure using the Cloudflare platform.
• Technical Accountability: Own the account's technical success across the entire Cloudflare portfolio. Serve as the primary technical point of contact, with other Cloudflare technical resources taking direction from your technical strategy for the account.
• Operational Integration: Participate in customer engineering rituals, including daily standups, design reviews, and real-time incident response.
• Platform Advocacy & Adoption: Identify opportunities to accelerate the adoption of Cloudflare services, unlocking new capabilities across the customer’s tech stack.
• Platform Breadth & Depth: Deep technical competence in building production applications on a modern stack, combined with the willingness and ability to go deep on all Cloudflare product areas. From Workers to security, networking, and observability.
• Feedback Loop & Product Influence: Surface real-world edge cases and product gaps directly to Cloudflare’s Product and Engineering teams to influence the developer platform roadmap.
• Strategic Relationship Management: Establish and maintain trusted technical relationships with senior leadership (Staff+ engineers, Directors, and VPs).
• On-Site Presence: Maintain a regular on-site presence at customer locations to foster deep collaboration and cultural alignment.

Requirements

• Proven Engineering Pedigree: 5+ years of professional software engineering experience. You are a builder at heart, with a track record of delivering production-grade systems, not just advising on them.
• Production Ownership & Operational Maturity: You have owned mission-critical services with real-world users. You understand the gravity of on-call rotations, the urgency of incident response, and the architectural rigor required to maintain "five nines" uptime.
• Active Practitioner: You are currently in the IDE. You have a "ship-first" mentality and maintain a high velocity, staying current with modern frameworks, languages, and deployment patterns.
• Full-Stack Architectural Depth: Broad technical fluency across the entire stack—from frontend performance and backend logic to database optimization and distributed infrastructure.
• AI-Native Development: You have integrated AI-augmented workflows (e.g., Windsurf, OpenCode) into your daily development cycle to accelerate prototyping and delivery.
• Systems Design & Strategic Thinking: Ability to decompose complex business requirements into scalable, resilient technical architectures. You can visualize the "big picture" without losing sight of the implementation details.
• Cloud Ecosystem Fluency: Deep experience with at least one major cloud provider (AWS, GCP, or Azure), including an understanding of serverless, networking, and security primitives.
• High Agency & Navigating Ambiguity: You are a self-starter who thrives in "zero-to-one" environments. You don't wait for a ticket; you identify the problem and own the solution from end-to-end.
• Executive Presence: Comfortable engaging in high-stakes technical and strategic discussions with VP-level stakeholders, with the ability to translate complex engineering trade-offs into business impact.
• Fluency in Hebrew and English

Nice to Have

• Direct experience building on Cloudflare Workers, or the broader Cloudflare Developer Platform.
• Previous experience at a fast-paced startup or in a customer-facing engineering role where you operated directly within a partner’s codebase.
• A visible public profile, including open-source contributions, technical blogging, or speaking engagements at industry conferences.

The role 

We are building our L3 Support Line from scratch to serve as the datacenter center of expertise for servers, firmware (BIOS/BMC), and deep Linux diagnostics across Europe and the US.

This is a senior technical role focused on deep investigations, cross-site pattern detection, and driving permanent fixes with R&D and ODM vendors. You will turn complex incidents into scalable solutions and elevate L1/L2 capabilities through strong technical enablement.

You’re welcome to work in our office in Amsterdam, the Netherlands.

Your responsibilities will include: 

Deep Technical Investigation (Primary Focus)

• Lead root cause analysis beyond L2 depth (GPU failures, firmware issues, Linux-level faults, HW/SW interactions).

• Detect recurring patterns across sites and convert findings into durable fixes.

• Own technical workstreams during high-severity incidents.

Vendor & R&D Collaboration

• Build evidence packs and drive escalations with ODM and R&D.

• Push for firmware, component, and platform-level resolutions.

• Track outcomes and ensure knowledge flows back to operations.

Firmware & Platform Readiness (BIOS/BMC)

• Support validation and rollout of firmware updates (risk assessment, staging, rollback planning).

• Help operationalize platform standards across datacenters.

Knowledge & Enablement

• Create scalable runbooks, troubleshooting guides, and error catalogs.

• Turn investigations into playbooks that elevate L1/L2 teams.

Hands-on Support (As Needed)

• Travel to datacenters for complex troubleshooting, new platform readiness, or incident containment.

We expect you to have: 

• Strong hands-on experience with datacenter servers and deep Linux troubleshooting.

• Ability to diagnose across hardware, BIOS/BMC firmware, and Linux (logs, drivers, storage basics, performance triage).

• Structured incident response experience and clear communication under pressure.

• Experience driving evidence-based escalations with vendors/R&D.

• Fluent English (written and spoken).

It will be an added bonus if you have: 

• Strong familiarity with GPU server platforms and tooling (for example: nvidia-smi, dcgmi, Linux logs correlation).

• Experience with ipmitool and Redfish workflows, firmware lifecycle, and staged rollouts.

• Scripting skills (bash and basic Python) for log collection, triage automation, and simple reliability analysis.

• Exposure to OCP-based platforms and ODM manufacturing ecosystems.

• Experience supporting enterprise bare metal customers under contractual SLAs.

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 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 Role

We’re looking for a Network Site Reliability Engineer (NetSRE) to help build and run the fundamental part of Nebius - the Network - the infrastructure everything else depends on. This is an engineering-first SRE role: you’ll set clear reliability targets, build the tooling and automation to meet them, and make the network safer to operate as we scale quickly.

Your responsibilities will include:

• Define and own reliability goals for network services and critical paths (SLIs/SLOs, availability targets, error budgets where it makes sense)

• Drive reliability improvements across the whole network: not only services, but also site readiness, inter-site connectivity (DCI), and operational standards

• Own incident response for your areas, lead investigations/postmortems, and turn failures into durable fixes (not repeated firefighting)

• Build and evolve observability: actionable metrics/logs/traces, alerting, and faster debug loops during and after incidents

• Design safer change workflows: automation, CI/CD, test/staging environments, canarying, rollbacks, and auditability for network changes

• Work closely with network engineers and platform teams to embed operability into designs and keep operations practical and fast

We expect you to have:

• Strong production Linux fundamentals and a structured approach to debugging complex systems

• Solid understanding of networking basics and how real networks fail (control plane vs data plane, latency/loss, failure domains, etc.)

• Hands-on experience operating high-availability systems and improving them over time (not just “keeping lights on”)

• Ability to write and maintain software/automation (Go is common for us; Python is also welcome)

• Experience with modern infrastructure tooling (e.g., IaC, CI/CD, container platforms) and comfort automating operational workflows

It will be an added bonus if you have:

• Experience with high-throughput traffic processing: load balancers, tunneling/decap, NAT64, or similar datapath-heavy systems

• Low-level networking performance/debug background (eBPF/XDP, DPDK, perf/ftrace, kernel networking internals)

• Experience building network-safe delivery pipelines (testing labs, staged rollouts, automated verification, drift detection)

• Background with large-scale network observability/telemetry (e.g., routing/flow telemetry, regression detection at scale)

The role

Your responsibilities will include:

• Participate in the design, deployment, and maintenance of high-performance cloud systems tailored for AI workloads.
• Arranging and performing hardware R&D tests and experiments on site in data center
• Troubleshoot and resolve complex system issues related to GPUs, networking (InfiniBand, NVLink), PCIe, and server infrastructure.
• Conduct deep investigations into hardware, software, and networking problems to ensure optimal system performance and reliability.
• Participate in development of tests and test methodologies for advanced GPU, InfiniBand, and Compute systems to benchmark and validate performance.
• Collaborate with cross-functional teams to improve system performance and reliability.
• Monitor system performance and continuously fine-tune configurations for maximum efficiency

Required Skills & Qualifications: 

• Strong knowledge of modern server architecture, especially in high-performance GPU-based environments.
• Hands-on experience with GPUs, Network, NVLink, and PCIe.
• Proficient in Linux systems, with expertise in Python and Bash scripting for automation.
• Demonstrated ability to troubleshoot complex system issues, including hardware, software, and networking problems.
• Experience with deep problem investigation, root cause analysis, and resolving performance issues in cloud-based or high-performance computing environments.
• Strong analytical and problem-solving skills, with a focus on optimizing system performance.
• Basic electronics modification by soldering and wiring

It will be an added bonus if you have:

• Knowledge of the Linux kernel and experience with kernel-level troubleshooting.
• Familiarity with electronic measurement equipment: oscilloscope, multimeter. 

The Role

As a Regional IT Operations Manager, you will be responsible for the overall performance, reliability, and continuous improvement of data center IT operations within a dedicated region. You will provide strategic and operational leadership to multiple Data Center IT Managers, ensuring consistent service delivery, high availability of infrastructure, and alignment with business objectives.

This role requires a strong leader with hands-on experience in data center environments, capable of balancing day-to-day operational excellence with regional planning, standardization, and optimization of IT processes.

You will act as the key escalation point for regional IT operations, driving best practices, operational maturity, and cross-site collaboration.

You are welcome to work from our office in Amsterdam, The Netherlands. 

Key Responsibilities

• Lead, mentor, and manage Data Center IT Managers across the assigned region.
• Establish clear goals, KPIs, and performance expectations aligned with global IT operations strategy.
• Ensure consistent implementation of operational standards, procedures, and best practices across all regional data centers.
• Act as the senior escalation point for critical incidents and operational risks within the region.
• Oversee regional IT infrastructure operations, including servers, networking equipment, storage systems, and supporting hardware.
• Ensure high availability, reliability, and performance of mission-critical systems, including GPU clusters and high-density environments.
• Monitor operational health and capacity across sites, proactively addressing risks and bottlenecks.
• Review major incidents and root cause analyses, driving corrective and preventive actions.
• Govern regional change activities related to hardware installation, upgrades, decommissioning, and migrations.
• Promote automation, standardization, and documentation across data center IT operations.
• Collaborate with internal stakeholders, global IT teams, and external vendors or colocation partners.
• Ensure compliance with contractual obligations and operational SLAs
• Provide regular reporting on regional performance, risks, capacity, and improvement initiatives to senior management.
• Ensure adherence to security, safety, and compliance requirements within data center environments.

We Expect You to Have

• Experience managing multi-site or regional data center operations.
• 8+ years of experience in data center IT operations, including hands-on infrastructure support.
• 5+ years of proven people management experience, leading managers or large technical teams.
• Familiarity with high-performance computing (HPC) or GPU-based environments.
• Strong background in server hardware, enterprise networking equipment, and data center technologies.
• Solid understanding of data center operations, lifecycle management, and support models.
• Practical experience in project planning, execution, and cross-site coordination.
• Knowledge of ITIL / ITSM practices and operational support processes.
• Experience with IT asset management processes and RMA.
• Excellent leadership, communication, and decision-making skills.
• Strong analytical mindset with the ability to assess risks and drive data-driven improvements.

It Will Be an Added Bonus If You Have

• ITIL, PMI, or similar professional certifications.
• Driving License (Category B).

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. 

The role 

The Site Selection & Colocation Manager is responsible for identifying, evaluating, and securing optimal locations for new data center developments and colocation expansions. This role combines real estate strategy, technical due diligence, market analysis, and vendor management to support the company’s global data center growth. The manager will collaborate closely with engineering, construction, finance, legal, and network planning teams to ensure that selected sites meet operational, technical, and business requirements.

You’re welcome to work in our office in Amsterdam or Remote - United States.

Your responsibilities will include: 

• Lead the end-to-end site selection process for new data center facilities.
• Conduct market assessments, including power availability, fiber connectivity, land suitability, regulatory requirements, and risk factors.
• Build and maintain market intelligence on emerging data center regions, supply trends, energy markets, and colocation pricing.
• Evaluate and shortlist candidate sites through comparative analysis, scoring models, and feasibility studies.

• Coordinate environmental, geotechnical, hydrological, and seismic assessments.
• Assess infrastructure availability (power, water, fiber) and future scalability.
• Evaluate construction constraints, climate conditions, logistics access, and permitting feasibility.
• Work with engineering teams to ensure sites meet mechanical, electrical, and network resilience requirements.

• Identify colocation providers and evaluate facilities based on technical specifications, SLA requirements, and cost structure.
• Lead RFPs, negotiations, and contract execution with colocation and connectivity partners.
• Manage colocation lifecycle: renewals, expansions, migrations, and optimization of space/power allocations.
• Monitor vendor performance against SLA, uptime, compliance, and efficiency metrics.

• Work with data center design and construction teams to validate site feasibility and development timelines.
• Partner with legal on contract terms, property acquisition, lease terms, and regulatory compliance.
• Support finance with CapEx/OpEx modeling, ROI calculations, and business case development.
• Coordinate with public authorities, utilities, and permitting agencies as needed.

• Evaluate risks related to natural hazards, geopolitical risk, security, environmental constraints, and utility reliability.
• Ensure compliance with local regulations, zoning laws, and corporate standards.
• Maintain documentation for audits, reporting, and internal approvals.

We expect you to have: 

• Bachelor’s degree in Real Estate, Engineering, Business, Geography, or related field.
• 5–8+ years of experience in site selection, real estate development, colocation management, or data center infrastructure.
• Strong understanding of data center power, cooling, and network requirements.
• Experience in evaluating colocation providers and negotiating leases/SLAs.
• Analytical skills in market research, cost modeling, and risk assessment.
• Ability to manage multiple simultaneous projects across regions.
• Excellent communication, negotiation, and stakeholder management skills.

It will be an added bonus if you have: 

• Experience with hyperscale or large-scale data center development.
• Knowledge of utility procurement (power, water), renewable energy markets, and substation planning.
• Familiarity with geospatial tools (GIS), risk modeling, or data center capacity planning.
• Understanding of permitting processes and environmental regulations.

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!

Nebius is looking for a Senior Technical Recruiter to strengthen our Talent Acquisition team and help us attract top technical talent. In this role, your primary focus will be on active sourcing and building strong pipelines of backend engineers, system engineers, and technology experts to support the company’s continuous growth.

Remote working, Based in the UK (London) OR Netherlands, working Hybrid from Amsterdam.

Your responsibilities will include:

• Technical Talent Sourcing: Proactively identify and engage engineers and other tech specialists through diverse channels (LinkedIn, GitHub, Boolean Search, professional communities, conferences, forums, networking, employee referrals).

• Pipeline Development: Build, maintain, and continuously refresh a pool of qualified engineers and developers for current and future hiring needs; provide funnel statistics to Hiring Managers (e.g., number of applicants, time to hire, etc.).

• Candidate Engagement: Craft personalized outreach and communication to spark interest and showcase opportunities at Nebius. Engage in pre-onboarding activities and contribute to HR projects.

• Screening: Conduct resume reviews and initial calls to assess candidates’ technical background, experience, and motivation.

• Collaboration with Hiring Managers: Partner with engineering leaders to deeply understand role requirements and design effective sourcing strategies.

• Market Research & Insights: Stay on top of industry trends, tech community activity, and competitor hiring practices. Identify the best companies to target for top-tier technical talent.

We expect you to have:

• 4+ years of experience in technical recruitment, specializing in Backend/General Tech such as (but not limited too): Software Engineers, Python Engineers, Platform Engineers, Cloud Platform Engineer, Site Reliability and Infrastructure Engineers, DevOps, Systems Engineers and Data Platform Engineers.

• Strong sourcing expertise and familiarity with tech talent pools, platforms, and communities.

• Deep understanding of tech subject areas, developers’ roles, technologies, and motivations, plus insight into which companies are the best sources of top candidates.

• Ability to manage multiple priorities and work in a fast-paced environment.

• Excellent follow-through, organizational, presentation, and communication skills (both written and verbal).

• Creative problem-solving skills with the ability to adapt quickly.

• 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!

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.

• 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

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.

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

As a AI Infrastructure Engineer (SRE) at Together, you are responsible for keeping all user-facing services and production systems running smoothly. You are a blend of a pragmatic operator and a software engineer that applies sound engineering principles, operational discipline, and mature automation to our operating environments and codebase.

You specialize in systems (operating systems, storage subsystems, networking), while implementing best practices for availability, reliability and scalability, with varied interests in algorithms and distributed systems.

Requirements

• 7+ years of professional SRE or related experience
• Bachelor's degree in Computer Science or a related field or equivalent work experience
• Expert knowledge of Ansible (roles, playbooks), Terraform, and Kubernetes
• Proficiency in programming/scripting languages
• Direct experience in monitoring and observability practices
• Advanced knowledge of cloud services
• Ability to thrive in a collaborative environment involving different stakeholders and subject matter experts

Responsibilities

• Be on an on-call (PagerDuty) rotation to respond to incidents that impact availability
• Build and run our infrastructure with Ansible, Terraform, and Kubernetes to enable scaling to a massive number of concurrent users
• Build monitoring systems to ensure the highest quality service for our customers
• Design and implement operational processes (such as deployments and upgrades)
• Debug production issues across all services and levels of the stack
• Identify improvements for the product architecture from the reliability, performance and availability perspectives 
• Plan the growth of Together AI’s infrastructure

About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy  

About the Role

Lead a team of Site Reliability Engineer (SRE) at Together based out of our office in Amsterdam, you  and the SRE team are responsible for keeping all user-facing services and production systems running smoothly. You are a blend of a pragmatic operator and a software engineer that applies sound engineering principles, operational discipline, and mature automation to our operating environments and codebase.

You specialize in systems (operating systems, storage subsystems, networking), while implementing best practices for availability, reliability and scalability, with varied interests in algorithms and distributed systems.

Responsibilities

• Be on an on-call (PagerDuty) rotation to respond to incidents that impact availability
• Manage, develop and coach the SRE Team.
• Build and run our infrastructure with Ansible, Terraform, and Kubernetes to enable scaling to a massive number of concurrent users
• Build monitoring systems to ensure the highest quality service for our customers
• Design and implement operational processes (such as deployments and upgrades)
• Debug production issues across all services and levels of the stack
• Identify improvements for the product architecture from the reliability, performance and availability perspectives 
• Plan the growth of Together AI’s infrastructure

Requirements

• 7+ years of professional SRE or related experience
• Ideally 2 years as a Lead SRE
• Bachelor's degree in Computer Science or a related field or equivalent work experience
• Expert knowledge of Ansible (roles, playbooks), Terraform, and Kubernetes
• Proficiency in programming/scripting languages
• Direct experience in monitoring and observability practices
• Advanced knowledge of cloud services
• Ability to thrive in a collaborative environment involving different stakeholders and subject matter experts

About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy  

About the Role

In this role, you will design and deliver multi-petabyte storage systems purpose-built for the world’s largest AI training and inference workloads. You’ll architect high-performance parallel filesystems and object stores, evaluate and integrate cutting-edge technologies such as WekaFS, Ceph, and Lustre, and drive aggressive cost optimization-routinely achieving 30-50% savings through intelligent tiering, lifecycle policies, capacity forecasting, and right-sizing. 

You will also build Kubernetes-native storage operators and self-service platforms that provide automated provisioning, strict multi-tenancy, performance isolation, and quota enforcement at cluster scale. Day-to-day, you’ll optimize end-to-end data paths for 10-50 GB/s per node, design multi-tier caching architectures, implement intelligent prefetching and model-weight distribution, and tune parallel filesystems for AI workloads. 

Hybrid Working 2 days a week at our offices in Amsterdam

Responsibilities

• Design multi-petabyte AI/ML storage systems; integrate WekaFS, Ceph, etc.; lead capacity planning and cost optimization (30-50% savings via tiering, lifecycle policies, right-sizing).
• Design/optimize RDMA, InfiniBand, 400GbE networks; tune for max throughput/min latency; implement NVMe-oF/iSCSI; troubleshoot bottlenecks; optimize TCP/IP for storage.
• Build Kubernetes storage operators/controllers; enable automated provisioning, self-service abstractions, multi-tenant isolation, quotas; create reusable Helm/Terraform patterns.
• Deliver 10-50 GB/s per GPU node; optimize caching (weights/datasets/checkpoints), parallel filesystems, and data paths; troubleshoot with profiling tools; scale to thousands of nodes.
• Build multi-tier caches (local NVMe, distributed, object); optimize data locality and model-weight distribution; implement smart prefetching/eviction.
• Implement monitoring, alerting, SLOs; design DR/backups with runbooks; run chaos engineering; ensure 99.9%+ uptime via proactive/automated remediation.
• Partner with ML/SRE teams; mentor on storage best practices; contribute to open-source; write docs, postmortems, and public learnings.

Requirements

• 8+ years in storage engineering with 3+ years managing distributed storage at multi-petabyte scale

• Proven track record deploying and operating high-performance storage for GPU/HPC clusters

• Deep Kubernetes and cloud-native storage experience in production environments

• Strong coding skills in Go and Python with demonstrated ability to build production-grade tools

• BS/MS in Computer Science, Engineering, or equivalent practical experience

• History of technical leadership: designing systems that significantly improved performance (>3x), reliability (99.9%+ uptime), or cost efficiency

• Distributed Storage Systems: Deep expertise in WekaFS, Lustre, GPFS, BeeGFS, or similar parallel filesystems at multi-petabyte scale

• Object Storage: Production experience with S3, MinIO, Ceph, or R2 including performance optimization and cost management

• Kubernetes Storage: CSI drivers, StatefulSets, PersistentVolumes, storage operators, and custom controllers

• Storage optimization for GPU workloads, RDMA/InfiniBand networking, parallel filesystem optimization (100+ GB/s aggregate cluster throughput)

• Programming: Go and Python for automation, operators, and tooling

• Infrastructure as Code: Terraform, Ansible, Helm, GitOps (ArgoCD)

• Linux Storage Stack: Advanced knowledge of filesystems (ext4, xfs), LVM, NVMe optimization, RAID configurations

• Observability: Prometheus, Grafana, Thanos architecture and operations

Nice to Have Skills

• GPU Direct Storage (GDS), NVMe-oF, storage networking (100GbE/400GbE)

• ML/AI storage patterns (model weights, checkpointing, dataset caching)

• Kubernetes operator development (controller-runtime, kubebuilder)

• Storage snapshots, cloning, and thin provisioning

• Backup and disaster recovery (Velero, Restic, cross-region replication)

• Storage encryption (at-rest and in-transit), security and compliance
• Storage benchmarking and profiling tools (fio, iperf3, iostat, blktrace)

About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy  

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.

Mid-Market Account Executive

As an Account Executive on our Mid-Market Sales team, you will assist in Datadog’s overall business growth by strategically engaging and closing net-new customers across mid-to-large size organizations. Sellers follow a well-defined methodology, collaborate with internal stakeholders, identify the customer's unique needs, and clearly convey the value of the Datadog product. Mid-Market reps have the opportunity to grow their careers in Sales and continue contributing to Datadog team success.

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:

• Focus entirely on net-new logo acquisition
• Convert inbound leads to closed opportunities 
• Leverage tools such as Sales Navigator and DiscoverOrg
• Strategically prospect into Chief Technology Officers, Engineering/IT Leaders, and technical end users (SRE, DevOps, DevSecOps)
• Multi-thread into different departments of a complex organization
• Collaborate with Sales Development Representatives to drive top of funnel activity
• Manage the full sales cycle, including negotiations and on-site technical demonstrations 

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 experience, we encourage you to apply.

Who You Are:

• Experienced in hunting and closing net new logos
• Fluent in German required
• Able to strategically map out and break into large scale organizations
• Curious, motivated, and driven as a sales person
• Bold on the phones and creative in your emails
• Able to sit up to 6 hours, traveling to and from client sites via auto, train, or air, up to 30% of the time

 Benefits and Growth:

• High income earning opportunities based on self performance
• Opportunity for Presidents Club
• New hire stock equity (RSU) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing 
• Sales training in MEDDIC and Command of the Message 
• Intra-departmental mentor and buddy program for in-house networking 
• An inclusive company culture, opportunity to join our Community Guilds
• Generous global benefits

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

#LI-Hybrid

Mid-Market Account Executive

As an Account Executive on our Mid-Market Sales team, you will assist in Datadog’s overall business growth by strategically engaging and closing net-new customers across mid-to-large size organizations. Sellers follow a well-defined methodology, collaborate with internal stakeholders, identify the customer's unique needs, and clearly convey the value of the Datadog product. Mid-Market reps have the opportunity to grow their careers in Sales and continue contributing to Datadog team success.

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:

• Focus entirely on net-new logo acquisition
• Convert inbound leads to closed opportunities 
• Leverage tools such as Sales Navigator and DiscoverOrg
• Strategically prospect into Chief Technology Officers, Engineering/IT Leaders, and technical end users (SRE, DevOps, DevSecOps)
• Multi-thread into different departments of a complex organization
• Collaborate with Sales Development Representatives to drive top of funnel activity
• Manage the full sales cycle, including negotiations and on-site technical demonstrations 

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 experience, we encourage you to apply.

Who You Are:

• Experienced in hunting and closing net new logos
• Specific regional experience is required
• Able to strategically map out and break into large scale organizations
• Curious, motivated, and driven as a sales person
• Bold on the phones and creative in your emails
• Able to sit up to 6 hours, traveling to and from client sites via auto, train, or air, up to 30% of the time

 Benefits and Growth:

• High income earning opportunities based on self performance
• Opportunity for Presidents Club
• New hire stock equity (RSU) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing 
• Sales training in MEDDIC and Command of the Message 
• Intra-departmental mentor and buddy program for in-house networking 
• An inclusive company culture, opportunity to join our Community Guilds
• Generous global benefits

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

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.

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

As a Trading Systems Engineer, you’ll have an opportunity to exercise your extensive skills while helping solve complex technical problems.  You’ll work closely with trading, infrastructure and software development teams to provide smooth support for our technology. We’ll ask you to communicate directly with exchanges, traders and developers to iron out any problems that arise.

Qualifications & Skills:

• Minimum of 5 years working in trade support, site reliability engineering or related fields
• Bachelor’s degree in STEM or related field
• Familiarity with trading platforms and financial markets
• Thrives in high-pressure situations while working alongside traders, developers and other engineering teams
• Strong problem-solving skills and the ability to troubleshoot technical issues under pressure
• Excellent communication skills, both written and verbal
• Knowledge of Linux/Unix environments
• Experience with scripting languages such as Python and Bash for automation tasks
• Ability to devise complex SQL database queries and updates
• Basic networking knowledge, including multicast, TCP/IP, DNS, DHCP and common network troubleshooting tools

What you’ll be working on:

• Maintaining the health and availability of a world class trading eco-system
• Responding to support requests from our traders and software engineers
• Contributing to our automation and monitoring solutions, reducing manual configuration and improving uptime
• Liaising with external trading partners, such as financial exchanges and clearing firms, to resolve technical issues
• Onboarding new trading desks, trading systems and technologies

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

#LI-MM1

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

As a Trading Systems Engineer you’ll collaborate with trading, infrastructure, and software development teams, working closely with exchanges, traders, and developers to support ongoing improvements and keep our trading technology performing at its best.

As markets evolve toward 24×7 trading, we’re expanding coverage to ensure our systems run smoothly during high impact periods that extend beyond the traditional Monday–Friday schedule. In this role, you’ll have the opportunity to work a non-traditional 5-day shift, depending on what best fits your schedule, for example Tuesday to Saturday, including Saturday working. This flexible coverage model allows you to make a critical impact during peak trading hours while enjoying off days during quieter parts of the week. 

What You’ll Be Working On:

• Keeping trading systems healthy and available by proactively spotting and resolving potential issues
• Responding to trader and engineer requests with both urgency and understanding of the bigger operational context
• Participating in the onboarding of new desks and systems, thinking ahead about how they’ll fit into the broader ecosystem
• Learning the trading environment deeply so you can anticipate challenges and suggest improvements

 What we Value:

• Intent over Instruction: we’ll share what we’re trying to achieve; you’ll help determine the best way to get there
• Responsibility and trustworthiness: you follow through and communicate progress and results clearly
• Continuous learning and adaptability: when conditions change, you adjust while keeping the mission in mind
• Collaboration: you seek input when needed but are comfortable making informed decisions yourself

About You:

• You enjoy diagnosing problems and thinking creatively about solutions
• You’re excited about fast-moving environments and want to see your work make an impact quickly
• You learn by doing and feel comfortable diving into unfamiliar technology

Qualifications & Skills:

• 2+ years of experience in trade support, site reliability engineering, or a related technical role
• Bachelor’s degree in computer science, engineering, or related STEM field
• Experience with maintaining and troubleshooting complex distributed systems
• Demonstrated knowledge of network communications, including use of multicast networking
• Exposure to containerized applications (e.g., Docker, Kubernetes) is a plus
• Experience with incident response and root cause analysis
• Ability to coordinate multiple priorities under time pressure
• Excellent written and verbal stakeholder communication skills
• Familiarity with programming languages (e.g., Python, Go, Bash, PowerShell) for basic automation tasks
• Competence in a broad range of technologies, spanning cloud platforms, containerization, monitoring/alerting systems, and distributed messaging platforms (e.g., AWS, Kubernetes, Docker, Splunk, Prometheus, Grafana, RabbitMQ)
• Experience with Linux/Unix environments
• Prior experience supporting electronic trading systems preferred.

Schedule: This position will require working on Saturdays and providing holiday coverage as needed by the department.

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

#LI-MM1

The Opportunity:

The Qualified Person (QP) holds ultimate responsibility for the certification and release of medicinal products in accordance with EU GMP, Directive 2001/83/EC, Dutch pharmaceutical legislation, and applicable Marketing Authorisations.

The role provides independent, authoritative quality leadership across site operations and serves as a key member of the site leadership team, ensuring patient safety, product quality, regulatory compliance, and reliable supply.

In addition to batch release accountability, the QP provides strategic oversight of the Pharmaceutical Quality System, partners closely with senior stakeholders across Quality, Technical Operations, Supply Chain, and Regulatory Affairs, and represents the site in interactions with Health Authorities.

• Regulatory Accountability & Product Release

  • Act as the legally registered Qualified Person with full authority for certification and release of clinical and commercial medicinal products.

  • Ensure batch certification in compliance with EU GMP, Directive 2001/83/EC, national legislation, EU GMP Annex 16, the applicable Marketing Authorisation, and approved regulatory dossiers (e.g., MA, IMPD), and applicable authorisations.

  • Exercise independent decision-making authority, including batch rejection and escalation when required.

  • Ensure timely batch disposition aligned with supply commitments and compliance requirements.

  • Responsible for the certification and release of Investigational Medicinal Products (IMPs) in accordance with EU Clinical Trial Regulation and EU GMP Annex 13, including oversight of randomisation, blinding, labelling, comparators, and clinical supply chain integrity.

  • Maintain QP oversight of the end‑to‑end GMP supply chain, including qualification, approval, and ongoing monitoring of contract manufacturers, testing laboratories, API suppliers, and logistics providers.

• Quality System Leadership

  • Provide oversight of the Pharmaceutical Quality System, ensuring inspection readiness and regulatory alignment.

  • Oversee deviations, CAPAs, change controls, investigations, complaints, and recalls.

  • Approve critical GMP documentation including SOPs, validation documentation, and quality agreements.

  • Ensure that third‑country manufacturing sites comply with EU GMP requirements, including audit strategy, GMP equivalence assessment, and importation controls.

  • Provide QP oversight of data integrity governance across GMP processes and computerized systems, ensuring adherence to ALCOA+ principles, validated system use, appropriate audit trails, and timely escalation of data integrity risks that may impact batch certification or regulatory complian

  • Oversee continued process and product verification activities, including stability programs, ongoing trend analysis, and Product Quality Reviews (PQR/APQR), ensuring that emerging quality risks are identified, assessed, and managed proactively throughout the product lifecycle.

• Strategic & Cross-Functional Leadership

  • Act as a strategic quality partner to site and functional leadership.

  • Lead quality risk assessments related to manufacturing operations and change initiatives.

  • Mentor QA professionals and support QP succession and capability building.

  • Embed a proactive quality culture across the organization.

• Regulatory & External Representation

  • Serve as primary QP representative during inspections and Health Authority interactions.

  • Lead inspection readiness and coordinate regulatory responses.

  • Maintain oversight of recall activities.

• Performance, Governance & Escalation

  • Define and present quality KPIs, trends, and risk assessments to senior management.

  • Drive continuous improvement using data-driven insights and benchmarking.

  • Provide escalation support during critical quality events.

  • Act independently in the execution of QP duties, maintain direct access to senior management for escalation of critical quality, compliance, or patient safety risks, and ensure that QP certification decisions are not compromised by commercial or supply pressure.

  • Maintain an effective interface with Pharmacovigilance to ensure timely assessment and escalation of quality‑related safety signals, quality defects, recalls, and Rapid Alerts, in accordance with regulatory expectations and patient safety requirements.

Required Skills, Experience and Education:

• Master's degree in Pharmacy, Chemistry, Biotechnology, or relevant scientific discipline.

• 9+ years experience working in quality related roles with increasing responsibility.

• Eligibility for registration as a Qualified Person under Dutch pharmaceutical legislation.

• Extensive experience as a Qualified Person with direct batch release accountability.

• Deep working knowledge of EU GMP and relevant regulatory frameworks.

• Proven inspection experience and senior stakeholder engagement capability.

• Fluency in English; Dutch language skills are an advantage.

• Risk-based, pragmatic mindset balancing compliance and supply reliability.

Revolution Medicines takes protection and security of personal data very seriously and respects your right to privacy while using our website and when contacting us by email or phone. We will only collect, process and use any personal data that you provide to us in accordance with our CCPA Notice and Privacy Policy. For additional information, please contact privacy@revmed.com. 

#LI-Remote #LI-LO1

Cloud Engineer
Amsterdam/Rotterdam, hybrid

DEPT® is a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the intersection of technology and marketing, our 4,000+ specialists deliver growth invention services across Brand & Media, Experience, Commerce, CRM, and Technology & Data. We’re 50|50 tech and marketing, partner-led, and first to move. Clients include Google, Lufthansa, Meta, eBay, and OpenAI. We have been certified B Corp and Climate Neutral since 2021.

JOB PURPOSE

This role is part of our Experience & Engineering team based in the Netherlands. We combine our skills in developing future-ready technical solutions with our expertise in creating beautiful designs to deliver exceptional and engaging digital experiences that build lasting relationships with our clients like Gant, Inter Milan, bol.com and Just Eat Takeaway.

We are looking for a Cloud Engineer who can build the best cloud platforms for our clients and project teams and can maintain our existing solutions in the smartest way possible. Someone who can switch gears quickly and knows how to come up with automatic workflows to help our teams to accelerate in their work. 

As a Cloud Engineer, you search together with your colleagues for the best solutions which you independently translate to the perfect end result. You are responsible for building next level cloud platforms and setting up CI/CD pipelines. You work closely with your SRE colleagues to handover the operations to them. You know how to create long-term simplicity and automate everything so your team can deliver quality to our clients. Technology is transforming fast and that is why we are looking for someone who is eager and motivated to work and experiment with new techniques.

WHAT YOU'LL DO

• Lead the infrastructure implementation/migration process from sprint 0 to go-live;
• Collaborate to support a smooth integration and long-term operational efficiency;
• Ensure best practices are established and deliver high quality work;
• Collaborate effectively with our clients teams, including developers questions, to facilitate cross-team communication and ensure a seamless transition;
• Troubleshoot and solve technical issues that may arise during the implementation/migration;

WHAT YOU BRING

• Previous experience a Cloud Engineer (or similar role); 
• Multi-cloud platform experience (Microsoft Azure, AWS and/or GCP); 
• Experience with DevOps tooling for CI/CD, orchestration and monitoring like Azure DevOps, GitHub, Datadog, Cloudflare etc.;
• Understanding of Cloud Security & Networking;
• Experience with Infra-As-Code (i.e. Terraform);
• The ability & ambition to take ownership of your projects;
• Working proficiency of English; 

WE OFFER

• A flexible, hybrid working policy (2-3 days from the office, depending on location) and the opportunity to work from abroad for 13 weeks a year. 
• 24 vacation days per year and the possibility to buy an unlimited number of extra vacation days.
• DEPT®/YOU Learning Menu and DEPT®/YOU Special Programs. Develop your skills with courses and programs tailored to your needs.
• Stay happy and healthy with a contribution to your health through the OpenUp platform, gym and wellness discounts, and healthy lunches at the office.
• Get a discount on your lease bike and ride in style. You can also enjoy hassle free-commutes with an NS Business Card. 
• A reputation for doing good. DEPT® has been a Certified B Corp® since 2021, has been named a Great Place To Work since 2022 in the Netherlands and named ‘Agency of the Year’ at both The Lovies and The Webby Awards.
• Awesome clients. Whether big, small, local or global — at DEPT® you’ll get the opportunity to work with all of them. And we celebrate all of our successes together!

You can discover even more employee benefits here.

WHY DEPT®?

We are a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the intersection of technology and marketing, we create what is next by pioneering ideas, acting fast, and moving further because standing still just is not in our DNA.

We are drawn to people who stay curious, move with intent, and never stop inventing. Our culture runs on three values: better together, relentlessly curious, and get sh*t done. It is how we work, how we grow, and how we make things that matter.

At DEPT®, you will find the freedom to explore, the space to collaborate, and the trust to make a real impact for our clients, for each other, and for the world we are helping to build.

DIVERSITY, EQUITY & INCLUSION 

At DEPT®, we take pride in creating an inclusive workplace where everyone has an equal opportunity to thrive. We actively seek to recruit, develop, nurture, and retain talented individuals from diverse backgrounds, with varying skills and perspectives.

Not sure you meet all qualifications? Apply, and let us decide! Research shows that women and members of underrepresented groups tend not to apply for jobs when they think they may not meet every requirement, when in fact they do. We believe in giving everyone a fair chance to shine.

We also encourage you to reach out to us and discuss any reasonable adjustments we can make to support you throughout the recruitment process and your time with us.

Want to know more about our dedication to diversity, equity, and inclusion? Check out our efforts here.

Optiver's Production Engineering teams manage our live trading environment, which is active across 50+ global exchanges and hundreds of thousands of interconnected financial products. Our world-class infrastructure is a combination of vastly distributed systems, high-performance computing and low-latency trading algorithms, as well as high-throughput dataflows and data analysis. To keep pace with the ever-changing markets, Optiver must always react with speed, and therefore takes an in-house approach to building, analysing, managing and improving our custom infrastructure. Taking this autonomy a step further, Optiver's huge volumes of data are stored at our own data centre rather than in the cloud. Our technological independence enables us to evolve our systems on a daily basis, operating with tight feedback loops and quick development cycles. The challenge is balancing innovation with reliability and performance in such a complex, time-pressured environment – and that's exactly where you come in. 

What you'll do
As a Production Engineer, you'll be responsible for deploying, maintaining, monitoring and improving the reliability, scalability and performance of our in-house built trading systems. At Optiver, reliability means prevention and swift resolution across our software, to guarantee optimum functioning even in the most extreme market conditions. Having a decisive nature, engineering mindset and preference for simple solutions are essential to keeping our systems reliable.

The Production Engineer role is crucial for Optiver's trading activities. Your scope will cover market access, monitoring and compliance, strategy evaluation and management, performance tuning and trading automation. Sitting in the middle of our buzzing trading floor, you will have constant face-to-face interaction with end-users (Traders and Researchers as well as fellow Engineers). This is an engineering role, not a support role, so you'll set the standards for our production environment. As part of our core business, you will make a real, direct impact on our ability to trade and trading results. No two days are the same in our high-stakes, flat-hierarchy environment.

Learn more about a day in the life of a Production Engineer (we call this job Application Engineer internally) in this blog post and this video. 

Who you are

• You are a pragmatic, logical thinker.
• With a facilitating and enabling attitude, you always strive to find clean and simple solutions.
• You are naturally curious about hardware and software, and how these interact.
• You want to work on a broad range of projects and use various tools to best solve any problem at hand.
• With a hands-on approach, you can look at code, figure out how it works and explore how to make it better.
• You are able to clearly explain your thoughts through written and verbal communication, ask the right questions, and are not afraid to challenge or defend a strategy. 
• You seek out opportunities to leave your comfort zone and enjoy frequent change.

In terms of skillset, we're looking for:

• Experience managing day-to-day operations of software and hardware infrastructure
• Strong affinity with Unix/Linux systems
• The ability to automate tasks using Python
• Strong design, debugging, and problem solving skills
• Experience with relational databases (e.g. we use PostgreSQL but welcome experience with any other database);
• An understanding of networking fundamentals and protocols.

No prior trading or financial experience is needed – our onboarding program will kick-start your career at Optiver and support you in gaining all the relevant knowledge about our business.

Who we are
At Optiver, our mission is to constantly improve the market by injecting liquidity, providing accurate pricing, increasing transparency and acting as a stabilizing force no matter the market conditions. With a focus on continuous improvement, we participate in the safeguarding of healthy and efficient markets for everyone who participates. As one of the largest market making institutions, we are a trusted partner of 70+ exchanges across the globe.

What you'll get
You’ll join a culture of collaboration and excellence, where you’ll be surrounded by curious thinkers and creative problem solvers. Motivated by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, working collectively to tackle the toughest problems in the financial markets.

In addition, you’ll receive:

• A performance-based bonus structure unmatched anywhere in the industry. We combine our profits across desks, teams and offices into a global profit pool
• The opportunity to work alongside best-in-class professionals from over 40 different countries
• 25 paid vacation days and fully paid first-class commuting expenses
• Training opportunities and discounts on health insurance
• Extensive office perks, including breakfast and lunch, world-class barista coffee, sports and leisure activities, Friday afternoon drinks, and weekly in-house chair massages
• Competitive relocation packages and visa sponsorship where necessary for expats
  
  

How to apply
Are you interested in furthering your career on one of the most dynamic and exciting trading floors in Europe?
Apply directly via the form below for the position of Production Engineer. If you have any questions feel free to contact our Recruiter team via our recruitment inquiry form.

Please note:

• We cannot accept applications via email for data protection reasons.
• We do not require any assistance from third-parties including agencies in the recruitment of this role
  
  

Diversity statement
Optiver is committed to diversity and inclusion.

The Role

As a Senior Platform Engineer at Gigs, you'll work at the foundation of everything we build. You'll design, build, and operate the infrastructure and developer tooling that powers our connectivity and payments platform — enabling product teams to ship faster, more reliably, and at scale.

Our Foundation team owns the systems that every engineer at Gigs depends on: CI/CD pipelines, cloud infrastructure, observability, deployment tooling, and the shared platform services that keep our product running. You'll take ownership of complex infrastructure challenges end-to-end and drive them to production with a high bar for reliability and developer experience.

This is a role for someone who cares deeply about the craft of platform engineering — who gets energy from making other engineers more productive, who thinks in systems, and who isn't satisfied until the solution is both robust and elegant. You'll be joining a small, high-impact team where your work will directly shape how Gigs scales over the next few years.

What You Will Do

• Own and improve Gigs' cloud infrastructure, ensuring our platform is reliable, scalable, and cost-efficient as we grow.
• Design and build internal developer tooling and platform services that accelerate how product teams ship — from CI/CD pipelines to deployment workflows to local development environments.
• Drive improvements to our observability stack, making it easy for every engineer to understand system behavior, debug issues, and respond to incidents with confidence.
• Take complex infrastructure problems end-to-end: scoping, designing, implementing, and operating solutions in production.
• Collaborate closely with product engineering teams to understand their pain points and build platform capabilities that unblock them.
• Contribute to our infrastructure-as-code practices, ensuring our cloud environments are reproducible, auditable, and version-controlled.
• Participate in on-call rotations, incident response, and post-mortems — and use what you learn to make our systems more resilient.
• Raise the bar for platform engineering quality through code reviews, documentation, and advocating for best practices across the team.

What We Are Looking For

• You have 5+ years of professional software engineering experience, with meaningful time spent on infrastructure, platform, or DevOps/SRE work in a production environment.
• You have experience designing and building a platform layers e.g. centralised authentication, observability, routing logic, or API versioning which other product teams integrate against or build on top of.
• You have hands-on experience with cloud platforms (GCP preferred) and infrastructure-as-code tools like Terraform. You understand networking, compute, and storage at a level that lets you make good trade-offs.
• You have experience building and maintaining CI/CD pipelines and deployment systems. You care about developer experience and know that a great platform is one that engineers actually want to use.
• You think in systems. You can reason about distributed architectures, understand failure modes, and design for reliability and observability from the start.
• You enjoy building products from the infrastructure up. You care about finding the right solution to internal customer needs, and you're comfortable taking ownership and delivering.
• You communicate clearly and collaborate well. You can explain infrastructure decisions to product engineers, write useful documentation, and contribute to technical discussions with confidence.
• You care about more than just engineering — you want to see the business impact of everything you do, and you know how to make pragmatic speed/quality trade-offs.
• You have a growth mindset when it comes to tooling and practices. You stay curious about how the industry is evolving — including AI-assisted development — and you're thoughtful about adopting what makes you and your team more effective.

Bonus Points If

• You have experience with our stack: GCP (cloud run), Docker, Terraform, Ruby on Rails, Go, PostgreSQL, Kafka, PubSub.
• You have worked in fintech, payments, telecom, or other regulated industries where reliability and compliance matter.
• You have experience building developer-facing platforms or internal tooling at a high-growth startup (Series B–D).
• You have contributed to open-source infrastructure tooling or have a track record of improving developer productivity at scale.
• You use AI tooling as part of your engineering workflow and have developed a practical sense for where it adds value and where it doesn't — for example, using it for infrastructure scaffolding, debugging, exploring unfamiliar APIs, or drafting documentation, while knowing when to rely on your own judgment.

We are seeking a customer-focused and detail-oriented Operations Intern to support our Ride-Hailing operations in Netherlands. As an Operations Intern, you will play a crucial role in the daily functions that impact supply growth and compliance.

This is a full-time internship opportunity, offering a monthly compensation of €800. You’ll be joining us on-site at our Amsterdam, Netherlands office — a great environment for learning, teamwork, and fast-paced collaboration.

As an Operations Intern, you’ll play a key role in keeping our Netherlands marketplace balanced and growing, ensuring thousands of drivers and riders enjoy seamless experiences every day. You’ll learn how to scale a fast-paced platform, make data-driven decisions, and execute projects that have a visible impact on Bolt’s business.

• Own key operational workflows across all of Bolt's business operations in the Netherlands.
• Monitor and analyze performance metrics (e.g., supply health, engagement, activation) to find bottlenecks and propose improvements.
• Contribute to local growth initiatives that boost driver supply, reliability, and satisfaction.
• Collaborate with Central Operations, Product, Commerce, and Customer Support to improve tools, processes, and communication.
• Test and optimize new processes, helping us find smarter, faster ways to operate.
• Investigate and solve driver issues across email, chat, and in-person interactions, ensuring empathy and speed in every response.

• You’re a student in Business, Economics, Operations, Data Analytics, or a related field.
• You have strong analytical skills and enjoy finding trends and insights in data.
• You’re curious and proactive, not afraid to challenge how things are done.
• You communicate clearly in English and enjoy working with people.
• You’re available 4–5 days per week for at least 5–6 months in Amsterdam.

Experience is great, but what we really look for is drive, curiosity, and ownership. If you’re excited to learn and contribute to one of Europe’s fastest-growing tech companies, we’d love to hear from you!

About project44

project44 is on a mission to make supply chains work. As the leading supply chain visibility platform, we connect, automate, and provide real-time insights across every mode and node in global transportation. Our technology empowers shippers, carriers, and logistics providers to move goods more efficiently, sustainably, and predictably — driving smarter decisions and better outcomes for customers and communities worldwide.

The Opportunity

We’re looking for a Product Manager, TMS to support the evolution of project44’s Transportation Management System capabilities.

In this role, you’ll help drive execution for the products and workflows that power how customers plan, assign, execute, and manage freight within project44’s platform.

This is a high-impact position for someone who thrives in a fast-paced environment, can work across complex stakeholder groups, and brings strong product judgment, customer empathy, and operational focus to the table.

What You’ll Do

Product Execution

· Support the roadmap and execution for project44’s TMS capabilities

· Help define workflows that improve transportation planning, assigning, execution, and management

· Partner with Engineering and Design to deliver scalable, usable product capabilities

Customer Onboarding & Delivery

· Partner with customers and internal teams to support onboarding and implementation of TMS capabilities

· Gather customer feedback during onboarding and rollout to identify product gaps and improvement opportunities

· Help ensure TMS workflows are configured and delivered in a way that supports successful adoption

Customer-Focused Innovation

· Participate in customer discovery sessions to identify operational pain points and validate new opportunities

· Translate customer insights into actionable product requirements and improvements

· Apply structured feedback loops to ensure the product solves meaningful customer problems

Cross-Functional Collaboration

· Collaborate with Engineering, Design, Professional Services, Sales, and Customer Success to deliver end-to-end TMS experiences

· Communicate customer needs and product priorities clearly across teams and stakeholders

· Support alignment across internal teams involved in launching and scaling TMS capabilities

Execution & Delivery

· Balance day-to-day execution with continuous improvement in a fast-paced, agile environment

· Help prioritize work based on customer needs, business impact, and delivery readiness

· Support KPIs for adoption, reliability, customer satisfaction, and operational performance

What You’ll Bring

· 3+ years of product management experience, preferably in transportation, logistics, or supply chain technology · Understanding of Transportation Management Systems (TMS) and supply chain workflows

· Experience working cross-functionally to deliver product capabilities in enterprise or SaaS environments

· Strong customer empathy and ability to translate feedback into product improvements

· Technical fluency — understanding APIs, data flows, and system interoperability

· Strong communication and stakeholder management skills

· Proven ability to deliver results in fast-paced, ambiguous environments

· Bachelor’s degree required

Preferred Skills & Attributes

· Ability to balance customer needs with scalable product development

· Experience with TMS platforms or transportation execution workflows

· Strong organizational skills and attention to detail

· Strong sense of accountability, collaboration, and continuous learning

Immediate Focus Areas

· Support rollout and onboarding of project44’s TMS capabilities

· Help improve transportation workflows across assigning, execution, and management

· Drive cross-functional alignment between Product, Engineering, and Customer Success teams

· Identify product improvements through customer feedback and implementation learnings

· Align TMS capabilities with project44’s broader platform direction

Why project44

Joining project44 means joining a global team of innovators transforming the way the world’s supply chains move. You’ll help shape products that connect execution, visibility, and customer outcomes across modern logistics workflows.

We value curiosity, collaboration, and bold thinking — and we’re committed to fostering a culture where diverse perspectives thrive and every voice drives impact.

In-office Commitment: Our office is where ideas spark, connections thrive, and innovation comes alive. We are looking for candidates who are enthusiastic and committed to joining our team on-site, in our beautiful Amsterdam office four days a week. Together, we’re building something extraordinary—learn, grow, and thrive in our fast-paced, transformative environment.

P-1521

Note that this is a hybrid role and the person needs to go to the office, based in Amsterdam, at least 3x a week.

Platform Monitoring Engineer

Mission

At Databricks, we are passionate about empowering data teams to tackle the world’s most challenging problems — from bringing the next mode of transportation to reality to accelerating the development of medical breakthroughs. We achieve this by building and operating the world’s best data and AI infrastructure platform, enabling our customers to leverage deep data insights and enhance their business. Founded by engineers — and customer-obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. 

We are seeking an exceptional Senior Platform Monitoring Engineer to join our Platform Monitoring Team. This is a high-impact technical role for someone who thrives at the intersection of platform reliability, incident response, and customer obsession. You will serve as a critical first responder for the Databricks Platform, leading complex investigations, designing observability solutions, and driving systemic improvements that enhance customer experience and platform stability.

The Impact You Will Have

• Lead platform incident investigation, coordinating cross-functional teams through rapid detection, mitigation, and resolution to minimize customer impact.
• Conduct thorough post-incident root cause analysis across infrastructure, services, and cloud providers to identify systemic patterns and prevent future occurrences.
•  Design and implement customer-focused alerting pipelines and end-to-end observability workflows to enhance detection coverage and reduce mean time to detection.
• Build automation tools, establish reusable monitoring patterns, and resolve reliability gaps that directly impact customer experience.

What We Are Looking For:

• Minimum of 5 years of experience as an SRE, DevOps Engineer, Production Engineer, or similar role.
• Production-level experience with at least one major cloud provider (AWS, Azure, GCP) and proficiency in container and orchestration technologies (Docker, Kubernetes).

• Hands-on experience with monitoring, logging, and alerting tools such as ELK, Prometheus, Grafana, PagerDuty, etc. Ability to architect monitoring solutions that correlate metrics, logs, and traces.

• Strong proficiency in Python or similar languages with the ability to build production-quality automation tools.
• Experience owning critical phases of the incident lifecycle from detection through resolution and post-mortem analysis in demanding production environments.
• BS or Master's, or PhD in Computer Science or Computer Engineering, or related Engineering field.

At JetBrains, we’re building an AI-native platform for software development that connects developer workflows, team-level collaboration, and organizational control into a single coherent system. This platform will serve as the execution and governance layer for AI-driven development, deeply integrated with developer tools but designed to work across teams, products, and environments. This is a long-term strategic investment for JetBrains and a key pillar of our vision for the future of software development.

The role

We are looking for a Software Architect (Product Architecture) to drive architecture within a specific product area.

This role focuses on owning end-to-end architecture for a product domain: making sure product requirements translate into a coherent technical design, that the domain evolves sustainably, and that the product aligns with platform capabilities and constraints. You’ll be the architectural “center of gravity” for a domain, partnering closely with engineers and product stakeholders while collaborating with platform architects on shared foundations and integration contracts.

As this is a new platform, many standards and processes are still works in progress – you will help define them from the perspective of real product needs and delivery constraints.

As part of the team, you will:

• Own the architecture of a specific product domain within JetBrains Cloud Platform and evolve it over time.
• Translate product and domain requirements into clear architectural designs and implementation approaches.
• Define service boundaries, domain models, data flows, and integration contracts, in line with platform standards.
• Drive key architectural decisions and trade-offs in your area (e.g., API design, persistence, reliability, performance, and migration paths).
• Ensure your domain architecture supports scalability, reliability, and observability from the outset.
• Review and validate architectural designs within your domain and team, raising quality and consistency.
• Collaborate with platform architects and other domain owners to align on cross-cutting decisions and shared interfaces.
• Work closely with senior and staff engineers to clarify requirements, reduce ambiguity, and support execution.
  
  

We are looking for someone who:

• Has strong experience in software engineering and system design, with a track record of working on complex systems.
• Has experience owning architecture within a product or domain, including balancing delivery needs with long-term sustainability.
• Is comfortable aligning product needs with platform capabilities and constraints (and negotiating trade-offs when needed).
• Can facilitate architectural decision-making inside a team and across partner teams.
• Is comfortable working in an environment where many processes and standards are still being formed.
• Is motivated by long-term goals, designing for evolution rather than one-off implementations.
  
  

We’d be particularly thrilled if you:

• Have experience designing product architectures that operate in cloud environments and integrate with multiple systems.
• Are strong at reasoning about architectural trade-offs in context (time-to-market vs correctness, flexibility vs complexity, etc.).
• Enjoy helping teams converge on good solutions through collaboration, not enforcement.

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.
• Relocation support. We help make your move as smooth and stress-free as possible.
• 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-DNI

#LI-DNI

At JetBrains, we’re building an AI-native platform for software development that connects developer workflows, team-level collaboration, and organizational control into a single coherent system. This platform will serve as the execution and governance layer for AI-driven development, deeply integrated with developer tools but designed to work across teams, products, and environments. This is a long-term strategic investment for JetBrains and a key pillar of our vision for the future of software development.

The role

We are looking for a Software Architect (Platform Architecture) to shape the core technical foundations of JetBrains Cloud Platform from the ground up.

This role focuses on the architecture of shared platform capabilities: cross-product services, infrastructure abstractions, integration standards, scalability and reliability principles, and operational foundations (such as security, governance, observability, and cost controls). As this is a new platform, many standards and processes are still works in progress – you will actively influence what good quality looks like and help teams build toward it.

As part of the team, you will:

• Design and evolve the architecture of a cross-product platform that serves as the foundation for AI-driven software development.
• Define architectural principles, standards, and guidelines for platform services and shared foundations.
• Design integration patterns and interfaces between platform services, developer tools, and external systems.
• Ensure architectural decisions support scalability, reliability, security, and observability from the outset.
• Own and drive key platform-level architectural decisions and trade-offs (e.g., service boundaries, data flows, identity, policy, and tenancy).
• Review and validate architectural designs across teams to ensure consistency and long-term sustainability.
• Collaborate with other architects and platform specialists to align on shared decisions and evolve the platform architecture over time.
• Work closely with senior and staff engineers to translate platform requirements into coherent technical designs and implementation plans.
  
  

We are looking for someone who:

• Has strong experience in software engineering and system design, especially in complex, distributed systems.
• Has experience defining or significantly shaping the architecture of new platforms or large-scale systems.
• Is able to facilitate and align architectural decisions across multiple teams, balancing different perspectives and constraints.
• Is comfortable working in an environment where many processes and standards are still not fully established.
• Is motivated by long-term goals and prefers building foundations over delivering short-term features.
  
  

We’d be particularly thrilled if you:

• Have hands-on experience designing or evolving platforms based on Kubernetes and cloud environments such as AWS.
• Have experience with networking, compute, and storage infrastructure and can reason across application and infrastructure layers.
• Enjoy helping teams converge on good solutions rather than enforcing a single “correct” approach.

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.
• Relocation support. We help make your move as smooth and stress-free as possible.
• 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-DNI

#LI-DNI

At JetBrains, we’re building an AI-native platform for software development that connects developer workflows, team-level collaboration, and organizational control into a single coherent system. This platform will serve as the execution and governance layer for AI-driven development, deeply integrated with developer tools but designed to work across teams, products, and environments. This is a long-term strategic investment for JetBrains and a key pillar of our vision for the future of software development.

The role

We are looking for a Software Architect (Product Architecture) to drive architecture within a specific product area.

This role focuses on owning end-to-end architecture for a product domain: making sure product requirements translate into a coherent technical design, that the domain evolves sustainably, and that the product aligns with platform capabilities and constraints. You’ll be the architectural “center of gravity” for a domain, partnering closely with engineers and product stakeholders while collaborating with platform architects on shared foundations and integration contracts.

As this is a new platform, many standards and processes are still works in progress – you will help define them from the perspective of real product needs and delivery constraints.

As part of the team, you will:

• Own the architecture of a specific product domain within JetBrains Cloud Platform and evolve it over time.
• Translate product and domain requirements into clear architectural designs and implementation approaches.
• Define service boundaries, domain models, data flows, and integration contracts, in line with platform standards.
• Drive key architectural decisions and trade-offs in your area (e.g., API design, persistence, reliability, performance, and migration paths).
• Ensure your domain architecture supports scalability, reliability, and observability from the outset.
• Review and validate architectural designs within your domain and team, raising quality and consistency.
• Collaborate with platform architects and other domain owners to align on cross-cutting decisions and shared interfaces.
• Work closely with senior and staff engineers to clarify requirements, reduce ambiguity, and support execution.
  
  

We are looking for someone who:

• Has strong experience in software engineering and system design, with a track record of working on complex systems.
• Has experience owning architecture within a product or domain, including balancing delivery needs with long-term sustainability.
• Is comfortable aligning product needs with platform capabilities and constraints (and negotiating trade-offs when needed).
• Can facilitate architectural decision-making inside a team and across partner teams.
• Is comfortable working in an environment where many processes and standards are still being formed.
• Is motivated by long-term goals, designing for evolution rather than one-off implementations.
  
  

We’d be particularly thrilled if you:

• Have experience designing product architectures that operate in cloud environments and integrate with multiple systems.
• Are strong at reasoning about architectural trade-offs in context (time-to-market vs correctness, flexibility vs complexity, etc.).
• Enjoy helping teams converge on good solutions through collaboration, not enforcement.

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.
• Relocation support. We help make your move as smooth and stress-free as possible.
• 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-DNI

#LI-DNI

At JetBrains, we’re building an AI-native platform for software development that connects developer workflows, team-level collaboration, and organizational control into a single coherent system. This platform will serve as the execution and governance layer for AI-driven development, deeply integrated with developer tools but designed to work across teams, products, and environments. This is a long-term strategic investment for JetBrains and a key pillar of our vision for the future of software development.

The role

We are looking for a Software Architect (Platform Architecture) to shape the core technical foundations of JetBrains Cloud Platform from the ground up.

This role focuses on the architecture of shared platform capabilities: cross-product services, infrastructure abstractions, integration standards, scalability and reliability principles, and operational foundations (such as security, governance, observability, and cost controls). As this is a new platform, many standards and processes are still works in progress – you will actively influence what good quality looks like and help teams build toward it.

As part of the team, you will:

• Design and evolve the architecture of a cross-product platform that serves as the foundation for AI-driven software development.
• Define architectural principles, standards, and guidelines for platform services and shared foundations.
• Design integration patterns and interfaces between platform services, developer tools, and external systems.
• Ensure architectural decisions support scalability, reliability, security, and observability from the outset.
• Own and drive key platform-level architectural decisions and trade-offs (e.g., service boundaries, data flows, identity, policy, and tenancy).
• Review and validate architectural designs across teams to ensure consistency and long-term sustainability.
• Collaborate with other architects and platform specialists to align on shared decisions and evolve the platform architecture over time.
• Work closely with senior and staff engineers to translate platform requirements into coherent technical designs and implementation plans.
  
  

We are looking for someone who:

• Has strong experience in software engineering and system design, especially in complex, distributed systems.
• Has experience defining or significantly shaping the architecture of new platforms or large-scale systems.
• Is able to facilitate and align architectural decisions across multiple teams, balancing different perspectives and constraints.
• Is comfortable working in an environment where many processes and standards are still not fully established.
• Is motivated by long-term goals and prefers building foundations over delivering short-term features.
  
  

We’d be particularly thrilled if you:

• Have hands-on experience designing or evolving platforms based on Kubernetes and cloud environments such as AWS.
• Have experience with networking, compute, and storage infrastructure and can reason across application and infrastructure layers.
• Enjoy helping teams converge on good solutions rather than enforcing a single “correct” approach.

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.
• Relocation support. We help make your move as smooth and stress-free as possible.
• 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-DNI

#LI-DNI

At JetBrains, we’re building an AI-native platform for software development that connects developer workflows, team-level collaboration, and organizational control into a single coherent system. This platform will serve as the execution and governance layer for AI-driven development, deeply integrated with developer tools but designed to work across teams, products, and environments. This is a long-term strategic investment for JetBrains and a key pillar of our vision for the future of software development.

The role

We are looking for a Software Architect (Product Architecture) to drive architecture within a specific product area.

This role focuses on owning end-to-end architecture for a product domain: making sure product requirements translate into a coherent technical design, that the domain evolves sustainably, and that the product aligns with platform capabilities and constraints. You’ll be the architectural “center of gravity” for a domain, partnering closely with engineers and product stakeholders while collaborating with platform architects on shared foundations and integration contracts.

As this is a new platform, many standards and processes are still works in progress – you will help define them from the perspective of real product needs and delivery constraints.

As part of the team, you will:

• Own the architecture of a specific product domain within JetBrains Cloud Platform and evolve it over time.
• Translate product and domain requirements into clear architectural designs and implementation approaches.
• Define service boundaries, domain models, data flows, and integration contracts, in line with platform standards.
• Drive key architectural decisions and trade-offs in your area (e.g., API design, persistence, reliability, performance, and migration paths).
• Ensure your domain architecture supports scalability, reliability, and observability from the outset.
• Review and validate architectural designs within your domain and team, raising quality and consistency.
• Collaborate with platform architects and other domain owners to align on cross-cutting decisions and shared interfaces.
• Work closely with senior and staff engineers to clarify requirements, reduce ambiguity, and support execution.
  
  

We are looking for someone who:

• Has strong experience in software engineering and system design, with a track record of working on complex systems.
• Has experience owning architecture within a product or domain, including balancing delivery needs with long-term sustainability.
• Is comfortable aligning product needs with platform capabilities and constraints (and negotiating trade-offs when needed).
• Can facilitate architectural decision-making inside a team and across partner teams.
• Is comfortable working in an environment where many processes and standards are still being formed.
• Is motivated by long-term goals, designing for evolution rather than one-off implementations.
  
  

We’d be particularly thrilled if you:

• Have experience designing product architectures that operate in cloud environments and integrate with multiple systems.
• Are strong at reasoning about architectural trade-offs in context (time-to-market vs correctness, flexibility vs complexity, etc.).
• Enjoy helping teams converge on good solutions through collaboration, not enforcement.

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.
• Relocation support. We help make your move as smooth and stress-free as possible.
• 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-DNI

#LI-DNI

At JetBrains, we’re building an AI-native platform for software development that connects developer workflows, team-level collaboration, and organizational control into a single coherent system. This platform will serve as the execution and governance layer for AI-driven development, deeply integrated with developer tools but designed to work across teams, products, and environments. This is a long-term strategic investment for JetBrains and a key pillar of our vision for the future of software development.

The role

We are looking for a Software Architect (Platform Architecture) to shape the core technical foundations of JetBrains Cloud Platform from the ground up.

This role focuses on the architecture of shared platform capabilities: cross-product services, infrastructure abstractions, integration standards, scalability and reliability principles, and operational foundations (such as security, governance, observability, and cost controls). As this is a new platform, many standards and processes are still works in progress – you will actively influence what good quality looks like and help teams build toward it.

As part of the team, you will:

• Design and evolve the architecture of a cross-product platform that serves as the foundation for AI-driven software development.
• Define architectural principles, standards, and guidelines for platform services and shared foundations.
• Design integration patterns and interfaces between platform services, developer tools, and external systems.
• Ensure architectural decisions support scalability, reliability, security, and observability from the outset.
• Own and drive key platform-level architectural decisions and trade-offs (e.g., service boundaries, data flows, identity, policy, and tenancy).
• Review and validate architectural designs across teams to ensure consistency and long-term sustainability.
• Collaborate with other architects and platform specialists to align on shared decisions and evolve the platform architecture over time.
• Work closely with senior and staff engineers to translate platform requirements into coherent technical designs and implementation plans.
  
  

We are looking for someone who:

• Has strong experience in software engineering and system design, especially in complex, distributed systems.
• Has experience defining or significantly shaping the architecture of new platforms or large-scale systems.
• Is able to facilitate and align architectural decisions across multiple teams, balancing different perspectives and constraints.
• Is comfortable working in an environment where many processes and standards are still not fully established.
• Is motivated by long-term goals and prefers building foundations over delivering short-term features.
  
  

We’d be particularly thrilled if you:

• Have hands-on experience designing or evolving platforms based on Kubernetes and cloud environments such as AWS.
• Have experience with networking, compute, and storage infrastructure and can reason across application and infrastructure layers.
• Enjoy helping teams converge on good solutions rather than enforcing a single “correct” approach.

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.
• Relocation support. We help make your move as smooth and stress-free as possible.
• 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-DNI

#LI-DNI

Kineto is a next-generation platform that enables creators, educators, and small businesses to generate, deploy, and operate fully functional AI-powered web applications – instantly and at scale. It combines LLM-driven code generation, multi-tenant Postgres (Neon), dynamic hosting (GKE and Knative), automated deployments (Flux), analytics, billing, and a seamless chat-based UX to make software creation accessible to everyone. Our team is growing rapidly, and we’re now seeking an experienced Infrastructure Engineer who can design, build, and maintain our cloud-native platform, with a focus on scalability, reliability, and automated operations.

What you’ll do:

Cloud and platform engineering (DevOps):

• Design, implement, and manage the core infrastructure powering Kineto's platform on Google Cloud Platform (GCP), including networking, security, and identity management.
• Build and operate resilient, highly available distributed systems using Kubernetes (GKE), Knative, Istio, and related cloud-native technologies.
• Automate the entire infrastructure life cycle (IaC) using Terraform and Terragrunt, ensuring secure, reproducible, and auditable environments.
• Implement and maintain CI/CD pipelines (e.g. GitHub Actions and TeamCity) and deployment tools like Flux and Helm for GitOps-driven application delivery.
• Optimize and manage the multi-tenant data layer on Postgres and Neon, focusing on robust tenant isolation, performance, backups, and safe schema management.

Operational excellence and reliability:

• Drive site reliability engineering (SRE) practices, including monitoring, alerting (Prometheus, Grafana), logging (Loki), and incident response.
• Solve complex operational challenges, such as optimizing scale to zero for cost efficiency, minimizing cold starts, enhancing autoscaling behavior, and managing queue backpressure.
• Implement platform-wide performance tuning (e.g. container resource limits, distributed locks, caching strategies, and GC configurations).
• Ensure platform security and compliance by implementing best practices for secrets management, network segmentation, and vulnerability scanning.

Technical leadership:

• Own major infrastructure roadmap items, including multi-region deployments, disaster recovery planning, advanced tenancy separation, and ephemeral preview environments.
• Champion DevOps and SRE principles across the engineering team, mentoring engineers on cloud-native best practices, operational readiness, and debugging complex distributed systems.
• Collaborate with product and engineering teams to define the long-term vision for the platform's architecture and operational model.

We’d be glad to have you on our team if you:

• Have five or more years of experience building and operating large-scale, commercial cloud-native infrastructure, with a strong focus on DevOps/SRE practices.
• Possess deep, hands-on expertise with GCP (or AWS/Azure) and Kubernetes administration and operations (GKE experience is a strong plus).
• Are proficient with infrastructure-as-code (IaC) tools, particularly Terraform, for managing complex environments.
• Have a solid understanding of Linux internals, networking (CNI and service mesh), security, and distributed system design.
• Are familiar with CI/CD tools, GitOps (e.g. Flux), monitoring stacks (Prometheus/Grafana), and logging systems.
• Thrive in cross-functional teams and excel at communicating complex infrastructure ideas clearly.

#LI-YY1

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

Trading Infrastructure is a global organization of Engineers who architect, build and maintain our world-class infrastructure. From colo design/implementation, to optimizing our exchange connectivity, to building world class low latent Wide Area Networks, we leverage research and automation to consistently adapt and innovate our infrastructure to scale and drive our trading and evolving business.

We are looking for exceptional talent that can work closely and collaborate effectively across multiple teams spread around the globe and continue to take our infrastructure to the next level.

What You'll Do:

• Work in a hybrid Systems Engineer / Software Developer capacity on Jump’s internal systems that manage the global infrastructure and colocation footprint
• Architect, build and maintain streaming monitoring tooling, high performance / real-time packet and flow analysis systems, configuration management and automation frameworks
• Take an ops-first approach, focusing on improving quality of the platforms for the wider team and always strive to identify improvements and opportunities for further make us more efficient
• Identify opportunities to make services more efficient and resilient by designing alerting and observability around team and business requirements
• Do deep-dive debugging sessions on low-level performance issues in complex software stacks
• Other duties as assigned or needed

Skills You’ll Need:

• 5+ years experience with Python, Go
• Strong experience with Linux
• Knowledge of streaming systems architecture and design
• Message/streaming queues (Apache Kafka, RabbitMQ, etc.)
• Working knowledge of Rust, C/C++
• Experience with big data / columnar style data stores (Bigtable, Clickhouse, Cassandra) and time series databases
• Experience working with version control and CI/CD systems.
• App deployment management and lifecycle (CI/CD, Kubernetes, pods/containers)
• Proven knowledge of working on infrastructure challenges in a reliability capacity
• Previous experience demonstrating strategic thinking skills and maturity in tackling complex problems, dealing with people, technology and processes
• Reliable and predictable availability

Bonus skills:

• Experience with Rust
• Prior exposure to Arista or Cisco hardware
• Routing protocol knowledge
• Prior network design knowledge

Benefits include:

• Private Medical, Vision and Dental Insurance
• Travel Medical Insurance
• Group Pension Scheme
• Group Life Assurance and Income Protection Schemes
• Paid Parental Leave
• Parking and Commuter Benefits

WHO WE ARE 🌍

We help creators get more out of every conversation with Instagram-focused automations and support for other channels like Messenger, WhatsApp, and TikTok. The result? Better engagement, more sales, and real, sustainable growth.

With a diverse team of 350+ people spread across three continents, we’re building the leading Chat Marketing platform that is used — and loved — by more than 1.5 million customers worldwide.

WHO WE'RE LOOKING FOR 🌟

We’re looking for a Senior Site Reliability Engineer who thrives at the crossroads of classic Linux and AWS infrastructure and modern Site Reliability Engineering. This is a high-impact, hybrid role designed for someone who can manage cloud resources, harden Kubernetes clusters, and shape a more reliable and developer-friendly platform.

We need you not just to maintain but to rethink and evolve our infrastructure, balancing hands-on operations with strategic improvements that future-proof our growing AI product landscape.

You’ll take over key responsibilities from our current Infra Lead who is transitioning to a software-focused role, giving you immediate ownership and space to shine.

WHY THE ROLE IS SPECIAL 💡

You won’t be a cog in a massive SRE org. You’ll be the bridge between Infrastructure and Engineering, shaping how we scale Kubernetes, how we approach platform reliability, and how developers ship fast without fear. You’ll get autonomy, ownership, and a smart, humble team excited to learn with you.

WHAT YOU’LL DO 🤖

• Maintain and harden AWS infrastructure (EC2, ALB/NLB, WAF, IAM, CloudWatch)
• Operate and evolve our EKS clusters powering Python-based AI services
• Migrate existing services to Kubernetes using Terraform and Helm
• Codify infrastructure with Terraform and manage host-level automation via Ansible
• Build and improve CI/CD pipelines with GitHub Actions
• Own observability efforts: Prometheus, Grafana, alerting, and on-call readiness
• Support OS-level patching, certs, WAF rules, and general infra hygiene
• Partner with engineers to guide best practices and drive platform reliability
• Create clean, maintainable infrastructure documentation and playbooks
• Occasionally support rare off-hours incidents (don’t worry, really rare)

TO SHINE IN THIS ROLE 💥

• 5+ years of experience managing Linux in production (Ubuntu, Amazon Linux)
• Strong experience with Kubernetes (ideally EKS), Helm, and Terraform
• Comfort with running and debugging Python workloads in containers
• Solid understanding of networking, IAM, and cloud security best practices
• Hands-on Nginx experience (Ingress and reverse proxy setups)
• Excellent communication skills; you can explain complex infra to devs clearly

NICE TO HAVE SKILLS 🛠️

• Strong Ansible skills beyond the basics
• PostgreSQL or Amazon RDS tuning and operations experience
• Deep understanding of observability tools (Prometheus, Grafana, Loki, etc.)
• Familiarity with PHP production environments
• Experience with TDD, CI/CD best practices, and agile development
• Any previous SRE-like exposure such as building resilience, automation, or incident tooling

WHAT WE OFFER 🤗
We care deeply about your growth, well-being, and comfort:

• 🌍 Hybrid onboarding to start work remotely and relocation support for you and your family.
• 💙 Comprehensive health insurance for both you and your family.
• 📚 Professional development budget for conference tickets, online courses, and other relevant resources to help you grow.
• 🫶 Flexible benefits package to tailor perks that matters most for you.
• 🪴 Hybrid work and generous leave options to prioritize your work-life balance.
• 🍽️ In-office perks, including free meals and snacks.
• 🤝 Company-funded sport activities, annual offsites and team-building events.

Manychat is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.

This commitment is also reflected through our candidate experience. If you have individual needs that may require an accommodation during the interview process, please indicate this in your application. We will do our best to provide assistance throughout your interview process to ensure you’re set up for success.

With my application, I accept the Manychat Privacy Policy.

The Role

We’re looking for a Senior Software Engineer, Integrations who thrives at the intersection of engineering and impact. You’re a backend expert who doesn’t just write code — you connect systems, unblock teams, and turn complexity into seamless solutions. For you, code is a means to an end: delivering business value, creating elegant integrations, and helping products work smarter together. If you love solving tough challenges, collaborating across functions, and building the glue that makes everything click, this role is for you.

What You Will Do

• Own complex problems end-to-end, from designing and building robust, scalable solutions to ensuring a high standard of quality across our engineering practice.
• Integrate with and maintain a wide range of APIs and external systems, primarily in Ruby. You'll architect solutions that abstract diverse external behaviors and manage the complexities of asynchronous flows, distributed state synchronization, and dynamic data validation.
• Tackle the unique challenge of building a new telco operating system. This involves deep integration with existing telecom networks and a high degree of cross-organizational collaboration to push projects forward and develop innovative products.
• Maintain the reliability of our systems, building for observability and participating in incident response. This includes coordinating advanced retry logic and contributing to support rotations for intricate external system interactions.

What We Are Looking For

• You have experience designing APIs and building backend services. You enjoy thinking about systems, and you care about the quality of the software you produce.
• Strong English communication skills: You can clearly explain complex ideas, collaborate across global teams, and thrive in a company where English is the common language.
• Grit and Technical Ingenuity: You possess the perseverance to design robust solutions for complex, evolving external systems, skillfully navigating dynamic behaviors through systematic debugging and experimentation.
• Strategic Collaborator: You adeptly navigate large organizational structures, collaborating effectively with diverse teams and stakeholders, and understanding the intricate business context behind commercial offerings.
• Eager to Master New Domains: You have a strong desire to learn and quickly grasp new domains, including intricate regulatory flows and industry specifics, to build stable and compliant solutions.

What we offer 

• Interact with our clients on regular basis to drive their business towards impactful change.
• Seize opportunities at the client and at XYZ in our entrepreneurial environment.
• Become part of a fast growing international and diverse team.

Who we are

We are XYZ, We are a dynamic and forward-thinking consultancy firm that operates across a wide range of industries, creating solutions that are tailored to specific needs. We bring long-lasting impact and growth to our partners and clients.

With our multidisciplinary teams, we create bold strategies and innovative solutions that are tailored to our client’s needs and help them capitalize on opportunities. Together we strive to bring long-lasting impact and celebrate collective victories.

At XYZ we share an entrepreneurial mindset, a compelling passion to create, and, more importantly, a firm belief in our partnership-driven business model. This is embedded in our culture and safeguarded as we evolve. 

Our team counts over 450 ambitious professionals with various backgrounds, spread over several continents. Our work environment unifies creative problem-solving and strategic thinking. We provide resources to visionaries who understand the direction in which the world is moving. Tomorrow’s world is data-driven. It is digital. It is international.

Become part of the journey, become part of XYZ. Partners for impact.

What you will do  

• Responsible for the operation and further development of our multi-cloud container orchestration solution.
• Administer and manage our Linux systems.
• Work together with software developers and solution architects to plan, design, test, implement and maintain professional integration solutions in a multi-cloud environment.
• Develop concepts and methods for automation in a DevOps environment and ensure compliance with processes and documentation.
• Support with best practices for the scalability, reliability, and performance of our production systems.
• Work confidently in a team on escalations and solve critical problems that affect our highly available development, test and production systems.
• Developing and improving standards for security (via security as code) across a continuous delivery environment and cloud-based production deployments.
• Performance load/stress testing and performance tuning of all tiers including web server, application server, database.
• Evaluate and report on new tools and techniques for monitoring and securing an e-Commerce site.

What you’ll bring  

• 8-10 years of Experience in the DevOps field in the Retail & E-Commerce space.
• BE/ BTECH/ ME/ MCA- degree in Computer Science, Engineering.
• Good knowledge of Infrastructure as Code and configuration management, preferably with Terraform and Ansible.
• Good knowledge of scripting/programming and automation solutions.
• Good knowledge of IT operations and security monitoring as well as know-how in CI/CD tools.
• Experience with container technologies (Kubernetes) is an advantage.
• Strong knowledge in DevOps implementation & Practices.
• Strong knowledge in Azure/AWS/Google Cloud implementation.
• Strong knowledge on Linux operating system and proven ability to manage environments running on the same.
• Experience with software security, secure coding, or software assurance tools and techniques.
• Hands-on experience in any one of these tools & technology:
• GitHub/Bitbucket/Jenkins/Maven/Bamboo/JIRA etc.;
• Testing Tools like Selenium/Cucumber/JMeter etc.;
• Deployment (Chef/Puppet/Ansible);
• Infrastructure-as-a-code (IaaC) using Terraform/Cloud Formation Template/ ARM Template;
• Scripting knowledge in Bash/Python/PowerShell.
• Extensive experience in developing and automating deployment tools.
• Expertise in managing Cloud / VMWare resources and good exposure on Containerization using Docker, Kubernetes.
• Strong written and oral communication skills in English.
• Willingness to travel for business meetings, as required.

Good to Know  

• Exposure to Microservices, Database, API implementation is a plus.
• Certifications in AWS/ Azure/ Docker/ Kubernetes etc is a plus.