Nixxes Software is an industry-leading Dutch company specializing in video game design, development and porting.

Working alongside global partners since 1999, our work is fueled by a love for gaming and commitment to innovation. Our Utrecht based team prides itself on delivering the best possible experience for every gamer, regardless of platform. In July 2021 Nixxes joined PlayStation Studios to focus on delivering the highest-quality gameplay experiences for PlayStation fans.

Junior DevOps Engineer 

For our studio in Utrecht, the Netherlands, we're looking for a versatile, pro-active and friendly DevOps programmer to improve the productivity of our project teams with tools and technology.

Responsibilities

• Develop and maintain tools and services

• Set up and maintain CI/CD systems

• Provide technical assistance to team members

• Collaborate closely with our teams and other DevOps staff

Essential Requirements:

• A pragmatic, hands-on, problem-solving mentality

• Basic programming experience in C# or C++

• Basic knowledge of web application development

• Understanding of CI/CD concepts

• Experience with one or more scripting languages

• Self-motivated and pro-active

• Good communication skills in written and spoken English

• Must live in the Netherlands in order to work frequently in the office

Pluses:

• Game industry & development experience

• Experience with Angular and Laravel web frameworks

• Experience with Jenkins automation server

• Interest in the technical aspects of AAA game development

• (Native) Dutch speaker

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.

Role

We are looking for a Sr. Network and Infrastructure Engineer to join our Cloud Ops - Network Engineering department in a fully remote capacity in the Netherlands, reporting to the Manager, Network Engineering.

This position involves a mix of infrastructure, project management, and network engineering responsibilities. You will drive the design, implementation, and operation of complex network architectures, leading large-scale data center builds and expansions from start to finish with a strong sense of urgency.

What you’ll do (Role Expectations)

• Plan, implement, document, and manage data center cabinet layouts and power density to ensure maximum efficiency and reliability
• Oversee server capacity deployments, integrating infrastructure with automation to support global scalability and optimized resource utilization
• Collaborate with project management and engineering development teams to align on service requirements and hardware integration
• Work across functional teams to ensure the seamless synchronization of hardware, software, and network resources
• Provide expert technical guidance and troubleshooting support for complex data center infrastructure-related issues. This position will have to participate in on-call rotation in weekends and holidays.

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it and see dynamic environments as the raw material to build something meaningful.
• You act like an owner. Your passion for the mission fuels your bias for action and you navigate seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself, embracing a challenge culture where candor is delivered with clarity and respect.
• You operate with urgency. You have a relentless focus on execution and a bias for action, delivering high-impact results quickly to win for the customer and the team.

What We’re Looking for (Minimum Qualifications)

• Professional experience in remote data center operations, including device configuration and debugging fiber and patching issues
• 2-5 years of experience working with high-speed networks ranging from 10G to 100G and beyond
• Hands-on experience in BGP routing operations and troubleshooting for both IPv4 and IPv6 in large-scale environments
• Proven organizational skills with experience managing complex priorities within problem ticketing and inventory systems
• Bachelor’s Degree in Engineering or equivalent professional experience

What Will Make You Stand Out (Preferred Qualifications)

• Experience with Linux/Unix environments and proficiency in writing Unix shell scripts
• Technical knowledge of DNS, HTTPS, GRE, and IPsec protocols with practical troubleshooting experience
• Ability to automate end-to-end deployments at scale to drive operational efficiency

#LI-REMOTE

#LI-MM8

Role 

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

What you’ll do (Role Expectations)

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

Who You Are (Success Profile)

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

What We’re Looking for (Minimum Qualifications)

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

What Will Make You Stand Out (Preferred Qualifications)

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

#LI-REMOTE
#LI-MM8

Role

We are looking for a Staff Data Center Operations Engineer to join our Network Infrastructure department on-site near Schipol Airport, Amsterdam, reporting to the Datacenter Deployment Manager.

In this position, you will play a critical role in expanding Zscaler’s global cloud by utilizing automation to provision hardware that will be deployed to our data centers.

What you’ll do (Role Expectations)

• Provision new hardware and network devices in a staging environment that will be deployed globally to expand and supplement the Zscaler network
• Troubleshoot issues within our build environment and repair or replace server and network components and infrastructure
• Collaborate with the maintenance, network, install and platform engineering teams to execute and validate build activities and assist in optimizing processes

Who You Are (Success Profile)

• You are a positive force. You approach hard problems with constructive energy and a 'can-do' spirit that is contagious, inspiring your team to stay focused on the solution.
• You operate with urgency. You understand that in a high-growth environment, speed and quality are not mutually exclusive. You have a relentless focus on execution and a bias for action, delivering high-impact results quickly to win for the customer and the team.
• You are driven by innovation. You have a deep curiosity for how things work and are energized by solving complex technical challenges. You believe in the power of technology to accelerate transformation and are always looking for a better, more secure, and scalable way.
• You champion simplicity. You are skilled at distilling complex problems, user needs, and technical concepts into clear, simple, and actionable plans. You are a precise communicator who brings clarity and focus to every interaction.
• You are resilient and adaptable. You view change as an opportunity and setbacks as temporary. You maintain composure and focus in high-pressure situations, guiding yourself and your team through complexity with a steady, positive hand.

What We’re Looking for (Minimum Qualifications)

• Experience working in Data Center or hardware build and development environments
• Deep understanding of various types of servers, network devices and configurations, and physical connectivity
• Proficiency with the LINUX/UNIX command line, BIOS, and OOB management tools such as ILO, SAA, iDRAC, or IPMI

What Will Make You Stand Out (Preferred Qualifications)

• Basic scripting capabilities in BASH or Python
• Familiarity with build automation technologies such as Ansible or PXE boot
• Experience with Jira, Confluence, or other ticketing and documentation tools

#LI-MM8

#LI-ONSITE

The role

This role is for Nebius AI R&D, a team focused on applied research in AI. Examples of applied research that we have recently published include:

• applying reinforcement learning for agent training in long-context multi-turn scenarios
• dramatically scaling task data collection to power reinforcement learning for SWE agents
• building a decontaminated evaluation for SWE agents that is regularly updated
• investigating how test-time guided search can be used to build more powerful agents

The results often lead to collaboration with adjacent teams where our research findings are applied in practice.

We are currently looking for senior- and staff-level ML engineers to work on research in areas such as:

• Guided search and reinforcement learning for agentic systems
• Reinforcement learning for reasoning models
• Web-scale problem collection for training agents
• Efficient model distillation

Some examples of what your responsibilities might include are:

• Conducting experiments to figure out efficient ways to train a large language model on traces of interactions with various environments
• Exploring methods of guided generation and search in the trajectory space
• Coming up with ways to mine relevant data at web scale and figuring out efficient ways to use this data in model post-training
• Conducting experiments with different reinforcement learning configurations in verifiable domains
• Exploring methods to train AI agents on tasks with non-verifiable reward signals

We expect you to have:

• A profound understanding of theoretical foundations of machine learning and reinforcement learning
• Deep expertise in modern deep learning for language processing and generation
• Substantial experience with training large models on multiple computational nodes
• Strong software engineering skills (we mostly use python)
• Deep experience with modern deep learning frameworks (we use jax)
• Strong communication and leadership abilities
• Experience designing, executing, and analyzing machine learning experiments with proper statistical rigor
• Ability to formulate research questions, design experiments to test hypotheses, and draw meaningful conclusions from results
• Ability to document research findings clearly and contribute to technical publications or report

Nice to have:

• Experience with deep reinforcement learning for LLMs, including techniques such as reward modeling, DPO, PPO etc
• Familiarity with important ideas in LLM space, such as RoPE, ZeRO/FSDP, Flash Attention, quantization
• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field Master’s or PhD preferred
• Track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment
• Experience in engineering complex systems, such as large distributed data processing systems or high-load web services
• Open-source projects that showcase your engineering prowess
• Excellent command of the English language, alongside superior writing, articulation, and communication skills
• Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing

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

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

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

In this position, you will be responsible to:

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

Examples of outcomes you could drive as a Team Lead

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

What you will bring to the table:

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

It would be an added bonus if you had:

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

The Role

We’re looking for a Network Software Engineer (NetSWE) to build software that makes network operations safe, scalable, and boring — even as we launch new data centers and expand fast. This is not a “write scripts for configs” role: you’ll build the tooling and services that sit between the network core (switches/ports/VLANs, traffic processors) and the cloud platform on top, using open source where it fits and building the missing pieces where it doesn’t.

Your responsibilities will include:

• Build and maintain services and tooling that automate the network lifecycle: day-0 provisioning, day-N changes, drift detection, and operational verification

• Make network changes safe and transparent: CI/CD workflows, diff/review tooling, staged rollouts/rollbacks, audit trails, and guardrails

• Develop observability systems that scale across many sites: telemetry pipelines, signal quality, and tooling that shortens incident investigations

• Close “last mile” gaps between the network and the platform: integrate source-of-truth data, expose APIs, and build reliable automation around it

• Collaborate closely with network engineers and SREs to turn real operational pain into product-quality tooling

We expect you to have:

• 5+ years of professional software engineering experience (or equivalent practical background)

• Strong coding skills and ownership mindset: you can ship and operate reliable services

• Proficiency in Go or readiness to switch; Python is also welcome (other languages can be useful for OSS debugging/fixes)

• You don’t have to be Network expert but we expect you to have interest in infrastructure and/or network

It will be an added bonus if you have:

• Background in networking (ex-network engineer, CCNP/education, DC networking exposure) or strong interest and proven ability to learn fast

• Experience building automation/infra tooling: CI/CD, IaC, testing/staging environments, or “network-as-code” style workflows

• Low-level networking / datapath experience: eBPF/XDP, DPDK, kernel networking, traffic processing systems

• Experience designing high-load services and observability platforms (metrics/logs/traces, alerting, regression detection)

• Contributions to open source or experience extending/debugging OSS components in production environments

The role

Nebius is looking for a Senior Software Engineer in Hardware Infrastructure team. You’re welcome to work in our office in Amsterdam.

Hardware Infrastructure team designs, develops and supports systems involved in the data center lifecycle.

Your responsibilities will include:

Design and develop services that automate work with a large server fleet

We expect you to have:

• 5+ years of professional software engineering experience
• Excellent knowledge of Python or Golang, or you are ready to quickly switch to these programming languages
• Ability to write reliable code and dig into complex problems
• Strong interest in being engaged in DevOps processes
• Working proficiency in English

It will be an added bonus if you have: 

• Solid understanding of modern server architecture and its components
• Good knowledge of computer networks
• Experience designing, developing and running high-load distributed systems

The Role

Nebius is looking for a Senior Software Engineer to join the Hardware Infrastructure Observability team. You're welcome to work from our office in Amsterdam. We build and run low-level monitoring for servers and data center engineering systems to ensure reliability at scale. We also design and operate maintenance and remediation systems that enable safe, predictable fleet-wide changes and keep the infrastructure healthy.

Key Responsibilities:

• Design and develop services and agents that provide deep visibility into a large server fleet and DC engineering systems
• Evolve our metrics/aggregation/alerting pipelines and improve signals quality
• Build maintenance workflows and automation that keep fleets healthy
• Investigate incidents hands-on (including on-host debugging) and drive root-cause fixes
• Collaborate with hardware, networking, and DC operations to improve reliability
  

We expect you to have:

• 5+ years of professional software engineering experience
• Excellent knowledge of Python and Golang or you are ready to quickly switch to these programming languages
• Strong Linux fundamentals
• Ability to write reliable code and and dig into complex problems
• Working proficiency in English

It will be an added bonus if you have: 

• Solid understanding of modern server architecture, and its components
• Experience with metrics/monitoring/alerting Prometheus-compatible stacks (like VictoriaMetrics)
• Good knowledge of computer networks
• Experience designing, developing, and running high-load distributed systems

We conduct coding interviews as part of the process.

Role & Team

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

We are seeking improvement in the following areas:

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

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

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

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

What You'll Do

Technical Skills:

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

Ownership:

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

Leadership:

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

Skills & Experience

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

Nice To Have

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

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

What We Offer

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

Staff Software Engineer: Applied AI

Every day, thousands of shipments cross borders, change hands, and hit unexpected problems. For decades, fixing those problems meant phone calls, emails, and humans heroically firefighting. We think that's about to change completely.

We've been building AI agents that spot trouble before it happens, reroute shipments, and keep goods moving—with our team of experts in the loop where it counts. The early results have been jaw-dropping. We're now going all in on a future where supply chains run themselves, and we're looking for the people who want to build that future with us.

This isn't a role where you join a team and pick up tickets. You'll find the highest-leverage problems, design the solutions, and ship them to operators moving freight across 112 countries. If that sounds like your idea of a good time, read on.

What You'll Do

You'll build the cutting-edge agents and AI-powered applications that make Flexport's operations smarter, faster, and increasingly autonomous. That means:

• Designing and shipping end-to-end AI agents that handle real logistics work—customs compliance, document processing, exception management, and more
• Crossing organizational boundaries to understand problems deeply, align stakeholders, and get things done without waiting for permission
• Moving fast from idea to production, treating every deployment as a learning opportunity
• Working directly with operators, domain experts, and leadership to turn ambiguous problems into shipped solutions

You Should Have

• 10+ years of software engineering experience; you've built with LLMs extensively—whether in production, side projects, or just because you couldn't stop yourself
• Strong product instincts: you can identify what's worth building, not just execute on a spec
• LLM fluency: agent patterns, RAG, prompt engineering, tool use, evaluation. You know what works in production and what looks good in demos
• Full-stack capability in TypeScript and Next.js—you can own a feature end to end
• An entrepreneurial drive: you thrive in ambiguity, move fast, and don't wait to be told what to do
• Excellent communication: you can work across teams and disciplines to get alignment and unblock yourself
• An audacious appetite for impact: you're not here to maintain—you're here to change how global trade works

Nice to Have

• Experience with workflow orchestration (Temporal, etc.)
• Experience building internal tools or operator-facing applications

How We Work

• We come to the office 3 times a week to hang out, whiteboard, and ship together
• We have the latest hardware and software—including frontier AI models on day one
• We're agile, but not dogmatic. Teams decide how they work best
• Stack: Next.js, TypeScript, Postgres, Snowflake. For AI: Anthropic, OpenAI, Google AI APIs

Why This Role Is Special

• Your work is visible: This is a small, senior team reporting directly to the VP of Engineering. What you build gets noticed, and your ideas shape the direction
• Real stakes: thousands of containers, 112 countries, $19 billion of goods. Your agents will have immediate, measurable impact
• Full ownership: from problem definition to production deployment, it's yours
• You're early: the playbook for applied AI in enterprise logistics doesn't exist yet—you'll help write it

What's in it for you: 

• An opportunity to contribute to one of the fastest-growing companies, where you’ll have the chance to create a global impact while being a part of a  thriving multinational environment 
• Daily catered lunches incl. vegetarian options, breakfast, snacks and soft drinks available in our office on daily basis 
• Commute expenses: Flexport will cover  home-office commuting costs for employees living outside of Amsterdam
• 25 working days as vacation days based on full time employment.
• Health insurance: Flexport offers a collective health insurance plan including a basic package and any available additional packages. Your monthly premium is fully paid by Flexport. 
• A defined pension contribution scheme
• Equity program: every team member becomes a shareholder, aligning our success with yours. As a private company in a multi-trillion dollar industry, you have a direct stake in our collective growth and success.
• Employee Assistance Program through Aetna Resources for Living: Flexport provides an employer-sponsored program at no cost to you and your household members
• Parental leave benefit: Flexport is here to support you and your families in one of the most important times in life – the birth of a child! Our parental leave program allows both mothers and partners to take time off from work for pregnancy, childbirth, and to bond with your new child.

Why You'll Love This Role

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

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

As An Active Member Of Our Team, You Will…

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

If You’ve Got It - We Want It

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

Salary Range

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

#LI-KM1
#LI-Remote

Ready for an opportunity to make a substantial impact with a disruptive tech company while building your pre-sales career? Rubrik, Inc. has an amazing product, a supercharged team and the financial backing of Lightspeed Ventures, Greylock Partners and Khosla Ventures.  Bottom line, if you have limitless drive and like to win, we want to talk to you!

Rubrik is looking for Sales Engineers in the Netherlands to provide technical direction and business guidance to the regional sales team. As a Sales Engineer, you will be accountable for regional revenue goals by driving innovative technical programs and overseeing day-to-day account-level activities. You will be responsible for evangelising, positioning, and architecting the industry's first hyper-converged hybrid cloud data management platform for a mix of enterprise, mid-market, and small business customers throughout your region.

About the position:

• Provides technical leadership and direction to customers and internal staff in the development of fully integrated technology solutions in support of pre-sales activities in the assigned market.
• Assists in the analysis, design and development of fully integrated technology solutions.
• Demonstrates technical leadership and subject matter expertise on Rubrik’s products, distributed architectures, file systems, and competitive storage offerings in the SAN product space.
• Acts as technical expert and consultant to develop and propose solutions that meet the technology and business requirements of assigned customers.
• Makes technical and sales presentations to customer's technical staff and senior management.
• Serves as a trusted technology advisor to customers and serves as an internal resource on technical issues or specific business applications within an assigned market segment.
• Successfully builds relationships with the account team, partners and customers in support of sales team objectives and engages and leverages corporate resources, abilities, budgets and personnel as appropriate.
• Leads technical sales calls
• Qualifies sales opportunities in the terms of customer technical requirements, competition, decision making process and funding. 

About you:

• 5-7 years of sales engineering experience preferably in a software or data center environment.
• Driven – need for success, highly energetic with a strong hands-on, “can do” approach.
• The successful candidate must have a fundamental breadth of technical knowledge in cloud data management, backup and disaster recovery and data analytics.
• Entrepreneurial - willing to go the extra mile, strong work ethic, resourceful, “get it done” attitude
• Strives in moving in a fast-paced environment; including handling multiple calls/demos per day with immediate follow up.
• A high level of business acumen and experience working with Cx0 level personnel, bringing technology solutions to solve business challenges.
• Smart, adaptable and open-minded
• Bachelor’s degree required or equivalent experience
• Dutch speaker 

Rubrik provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age or disability. In addition to federal law requirements, Rubrik complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. 

An overview of this role

As a Staff Engineer on GitLab's Software Composition Analysis team, you'll drive hands-on implementation of security features that help customers understand and manage risks in their software supply chain. Your focus will be on enhancing GitLab's SCA capabilities in dependency scanning and container scanning. You'll work directly on architecture and technical implementation and help the team push forward on three core goals: Gather (introducing data points that help customers understand the urgency of issues, like reachability analysis and supply chain poisoning detection), Integrate (providing other teams with innovative collection techniques for better workflows), and Optimize (solving data correlation at massive scale). You'll contribute hands-on code, help solve novel technical challenges, and establish patterns that improve how the distributed team works together across multiple time zones.

Examples of some future features that you may help build: 
- Dependency scanning for unmanaged C/C++ 
- Dependency Scanning for Yocto environments 
- Vulnerability detection using CPE-based matching against package metadata

What you’ll do

• Implement complex features in dependency scanning and container scanning, shipping improvements that increase scan coverage, improve accuracy, and drive adoption of GitLab's SCA capabilities
• Solve novel technical problems in SCA, establishing reusable patterns that reduce delivery time and improve engineering effectiveness across the team
• Guide architectural and implementation decisions in collaboration with engineering managers, product managers, and peer engineers to improve scalability, reliability, and delivery outcomes across the team's SCA architecture
• Contribute code, design reviews, and technical mentorship that raise quality standards, improve maintainability, and strengthen performance across the codebase
• Collaborate across GitLab's security domain to align SCA work with related efforts in vulnerability management and adjacent product areas, accelerating delivery of shared roadmap goals and improving coordination across related security efforts
• Identify and resolve technical debt, prioritizing changes that improve team velocity, code health, and long-term maintainability across the team's core SCA services
• Translate product needs and customer feedback into technical solutions in partnership with product, UX, and security stakeholders, delivering features that address high-impact customer risks and advance shared roadmap goals

What you’ll bring

• Hands-on experience in Software Composition Analysis and the ability to contribute to complex security features in dependency scanning and container scanning
• Deep hands-on expertise in building and evolving dependency scanning and container scanning analyzers
• Demonstrated ability to design solutions that balance complexity, performance, and maintainability
• Expertise with backend technologies, particularly Go and/or Ruby on Rails, with ability to pick up new technologies quickly
• Familiarity with cloud providers like GCP, CloudFlare, or AWS
• Ability to evaluate technical tradeoffs in SCA and security tooling, with proven success delivering maintainable solutions that help customers manage software supply chain risk
• Ability to work effectively in distributed, async-first teams across multiple time zones
• Experience explaining complex technical and security concepts to engineers and stakeholders

About the team

The Software Composition Analysis team is part of GitLab's Sec Engineering group, and we focus on building capabilities that help customers identify and manage risks in their software supply chain. We work across areas including dependency scanning, container scanning, and license scanning, and we work closely with product, UX, security, and adjacent engineering teams to close important feature gaps in GitLab's platform. Our team members are distributed across regions including Europe and North America, so we rely on clear documentation, asynchronous communication, and thoughtful coordination across time zones. This opportunity is centered on helping us deliver complex security features while balancing hands-on technical progress with strong team execution.

An overview of this role

You'll join GitLab's Software Supply Chain Security stage as the Staff Engineer, Secrets Management, providing technical leadership for GitLab's strategic investment in integrated secrets management. You'll set the technical direction for GitLab Secrets Manager, our OpenBao-powered solution that helps customers securely store, distribute, and manage the lifecycle of secrets used across CI/CD pipelines. This role sits at the intersection of the GitLab platform and the OpenBao open source project: you'll drive architecture decisions for multi-tenant secrets management at scale, guide integration into GitLab, and contribute upstream so we can deliver capabilities customers can trust.

In your first year, your success will look like a clear, scalable architecture for GitLab Secrets Manager, reliable performance that meets GitLab.com needs in partnership with Infrastructure teams, and strong cross-team alignment across Pipeline Security, Authentication, and Platform. You'll also represent GitLab in OpenBao's governance and technical discussions, helping ensure our product direction and upstream contributions reinforce each other.

How we interview

Our process includes technical interviews and stakeholder conversations focused on how you partner across functions and drive alignment.

You should expect questions about how you collaborate with cross-functional partners and communicate tradeoffs in ambiguous, high-impact work.

What you'll do

• Lead the technical strategy for GitLab Secrets Manager, setting architecture direction for secure, multi-tenant secrets management at scale.
• Own the integration between GitLab and OpenBao, including namespaces, authentication mechanisms, and policy management.
• Collaborate with Pipeline Security, Authentication, and Platform teams to propose, review, and deliver cross-team secrets management improvements.
• Partner with GitLab.com Infrastructure teams to ensure secrets management meets reliability, performance, and operational requirements.
• Represent GitLab in the OpenBao open source project by contributing features upstream, participating in technical steering discussions, and maintaining strong technical credibility.
• Mentor and advise engineers on secrets management, cryptographic systems, and secure architecture patterns, raising the quality and consistency of designs and implementations.
• Interface with engineering managers and senior leadership to scope initiatives, clarify tradeoffs, and unblock delivery across teams.
• Engage with customers and external stakeholders to understand real-world needs and communicate GitLab's secrets management capabilities and roadmap direction.

What you'll bring

• Experience designing and operating secrets management systems (for example, HashiCorp Vault, OpenBao, or cloud-native offerings), including secure storage, access control, and audit logging.
• Ability to lead architecture decisions for resilient, multi-tenant services that handle secrets operations at scale, including high availability and cluster management patterns.
• Working knowledge of cryptographic and key management concepts, such as encryption in transit and at rest, key derivation, and hardware security module (HSM) or PKCS#11 integrations.
• Experience implementing authentication and authorization integrations, such as JSON Web Token (JWT) or OpenID Connect (OIDC), mutual Transport Layer Security (mTLS), and certificate-based authentication.
• Proficiency building product integrations in Go (within the OpenBao or Vault ecosystem) and Ruby on Rails for GitLab platform integration.
• Experience contributing to open source projects and working effectively with distributed governance, balancing upstream needs with product requirements.
• Demonstrated ability to operate with high autonomy, drive strategy, and serve as a trusted partner to senior leaders (including constructively challenging assumptions and tradeoffs).
• Strong communication and collaboration skills to influence across teams and levels, including mentoring engineers and working in a fully remote, asynchronous environment.

About the team

The Secrets Management team sits within the Pipeline Security group in GitLab's Software Supply Chain Security stage. We own GitLab Secrets Manager, an OpenBao-powered capability that helps teams securely store, distribute, and manage the lifecycle of secrets used across continuous integration and continuous delivery (CI/CD) pipelines. The team works closely with Authentication, Authorization, Compliance, and Platform counterparts to deliver secure defaults, reliable operations for GitLab.com, and product-grade integration between GitLab and OpenBao (including namespaces, authentication, and policy management). Our core challenge is building multi-tenant secrets management at scale while balancing upstream open source collaboration with the needs of GitLab customers.

An overview of this role

As a Staff Backend Engineer (Python) on the Duo Chat team in AI Engineering, you'll lead the backend architecture that powers GitLab Duo Chat across the GitLab DevSecOps platform. You'll solve hard problems in building reliable, secure, and scalable AI-powered chat workflows so customers can plan, write, review, and secure code faster, with confidence. This is a hands-on technical leadership role where you'll set direction for how we integrate and evolve large language model providers (including Google Vertex AI) across Ruby on Rails and Python services, raise the bar on observability and testing, and guide the team through ambiguous, high-impact technical decisions. Over your first year, you'll be expected to drive key architectural choices, reduce technical debt that slows iteration, and help the team ship durable improvements to response quality, reliability, and maintainability.

Some examples of our projects:

• Integrate new generative AI models and providers into GitLab Duo Chat to expand capabilities and improve response quality
• Improve debugging, observability, and test coverage for AI-powered chat workflows to increase reliability at scale

What you'll do

• Define the technical architecture and technical roadmap for the Duo Chat group, aligning backend execution with product direction and engineering priorities
• Solve the highest-scope and most ambiguous backend problems, delivering secure, well-tested, performant solutions with minimal guidance
• Integrate and extend generative AI capabilities in GitLab Duo Chat, including large language models (LLMs) and providers such as Google Vertex AI
• Develop, ship, and maintain backend features across Python and Ruby on Rails services that power Duo Chat experiences across the GitLab platform
• Design, implement, and review GraphQL application programming interface (API) contracts and supporting backend logic to ensure reliability, scalability, and clear frontend integrations
• Improve observability, debugging workflows, and incident readiness by strengthening logging, tracing, and production troubleshooting practices
• Drive code quality and long-term maintainability by setting internal standards, leading code reviews, and identifying and reducing technical debt
• Mentor engineers across the team and participate in Tier 2 on-call rotations, contributing to root cause analysis and follow-up improvements to resiliency and testing (including RSpec)

What you'll bring

• Production experience building and operating backend services in Python, including background jobs, APIs, and data models
• Ability to define and evolve technical architecture by weighing trade-offs, selecting patterns and tools, and setting a clear technical direction for others to follow
• Experience setting and driving a technical roadmap in partnership with product and engineering stakeholders
• Proficiency designing and maintaining REST and/or GraphQL APIs with attention to scalability, maintainability, and backward compatibility
• Hands-on experience integrating large language models into applications, including prompt design and building features powered by generative AI
• Strong SQL skills and experience working with relational databases such as PostgreSQL, including efficient queries and data modeling
• Experience mentoring engineers through code review, architectural guidance, and shared standards, and communicating complex technical decisions in a clear, async-first way
• Comfort contributing in a mature codebase across Python and Ruby on Rails, with openness to learning and applying transferable skills from related technologies or domains

About the team

The Duo Chat team sits within GitLab's AI Engineering organization and is responsible for building and evolving GitLab Duo Chat, the AI-powered chat experience embedded across the GitLab DevSecOps platform. You'll work with a small, cross-functional group of backend, frontend, and AI specialists who collaborate asynchronously across time zones, using GitLab issues, merge requests, and documentation as the primary way of working. The team focuses on integrating and scaling generative AI capabilities (including providers like Google Vertex AI), improving reliability and performance, and strengthening debugging, observability, and testing workflows so customers can safely use AI to plan, write, review, and secure their code across GitLab.

An overview of this role

As the Principal Engineer, Software Supply Chain Security, you’ll own the technical strategy that secures how software is built and delivered on GitLab’s DevSecOps platform. You’ll provide architectural leadership across multiple engineering teams. You’ll also partner closely with infrastructure and CI/CD teams to harden our pipelines, infrastructure, and access layers. Your work will shape GitLab’s enterprise security posture in the rapidly growing software supply chain security market. You’ll focus on SLSA Level 3 compliance, secrets management, CI/CD security hardening, and the foundations of GitLab’s global zero trust architecture. You’ll mentor Staff Engineers and individual contributors, and you’ll guide critical technical decisions. You’ll also act as a spokesperson with customers and external stakeholders for GitLab’s secure, mission-critical SaaS that runs millions of pipelines.

Some examples of our projects:

• SLSA Level 3 compliance and provenance attestation across GitLab’s CI/CD platform
• Integrated secrets management and runner security for container-isolated, secure pipelines

What you’ll do

• Lead the end-to-end software supply chain security architecture for GitLab’s CI/CD platform, including SLSA Level 3 implementation and CI infrastructure hardening.
• Drive cross-team technical strategy and decisions across our Software Supply Chain Security (SSCS) stage teams, aligning engineering work to SSCS strategic plans.
• Collaborate with infrastructure and CI/CD teams to design and land long-term initiatives for secure, scalable runner architecture, container isolation, and pipeline security at scale.
• Propose and validate technical implementations that support architectural changes to improve CI/CD scaling and performance on critical paths.
• Teach, mentor, and coach Staff Engineers and individual contributors, raising the bar on supply chain threat modeling, secrets management, artifact signing, and SBOM lifecycle practices.
• Partner with Engineering Managers and senior leadership to define roadmaps, break down complex initiatives, and enable Staff Engineers to lead sub-department-wide efforts.
• Engage with customers and external stakeholders as a technical consultant and spokesperson for GitLab’s software supply chain security capabilities and roadmap.
• Collaborate with product, security, and compliance stakeholders to ensure features meet enterprise security, governance, and regulatory expectations in the software supply chain security market.

What you’ll bring

• Deep expertise in software supply chain security, including threat modeling for supply chain attack vectors, SLSA implementation and attestation systems, and SBOM generation and lifecycle management.
• Strong knowledge of artifact signing and verification using the Sigstore ecosystem, including Cosign, Fulcio, Rekor, and in-toto attestations.
• Experience designing and hardening CI/CD security, such as runner isolation, pipeline security controls, and secrets management in large-scale environments.
• Background in distributed systems and infrastructure, including building resilient CI/CD platforms that process high pipeline volumes and optimizing performance for critical paths.
• Practical experience with container security and Kubernetes security, including admission controllers, policy controllers, workload isolation, and registry hardening.
• Proficiency in Go or Rust in a production environment, combined with expert-level understanding of CI/CD workflows and DevSecOps best practices.
• Experience operating as a Principal or Staff Engineer across multiple development teams, providing architectural leadership and partnering with Engineering Managers and senior leaders.
• Demonstrated capacity to clearly communicate complex problems and solutions.

About the team

Our Software Supply Chain Security stage engineering teams are responsible for authentication and access within GitLab. We also build features that help customers manage vulnerabilities, dependencies, security policies, and compliance frameworks across their organizations. Our group includes four core teams (Authentication, Authorization, Pipeline Security, and Compliance) and more than 40 engineers. We work asynchronously across regions and partner closely with product, security, and infrastructure to deliver secure-by-default features for customers in highly regulated industries.

Are you an experienced Staff Security Engineer driven to deliver cutting-edge security solutions and champion technical excellence? At Ivanti, you will play a pivotal role in shaping the future of secure digital work by designing and enhancing world-class products used across the globe. Join our dynamic, collaborative team and make a meaningful difference—helping organizations thrive securely in a fast-paced, ever-evolving digital landscape. Your expertise will help safeguard countless users, while empowering innovation at every level.

Why this role matters

As a Staff Security Engineer at Ivanti, you play a crucial role in safeguarding our products and users against evolving threats. Your work ensures trust and resilience in our technology, helping organizations worldwide operate securely and innovate with confidence.

What you’ll do:

• Manage the integration of security best practices throughout all phases of the software development lifecycle, ensuring robust protection of Ivanti’s products, services, and IT assets.
• Build innovative and scalable security tools, processes, and solutions to proactively detect, remediate, and mitigate vulnerabilities across large and complex codebases.
• Design secure architectures, perform comprehensive threat modeling, and lead penetration testing and code reviews on both web and mobile applications to maintain the highest levels of security.
• Partner with development, operations, and architecture teams to deeply embed security into DevOps practices and foster a culture of continuous security awareness throughout the organization.
• Lead security education initiatives by delivering clear, actionable training and documentation to cross-functional teams, and by driving vulnerability remediation efforts with stakeholders of varying technical backgrounds.
• Collaborate with global product and engineering teams, business leaders, and third-party security vendors to interpret vulnerability reports and coordinate effective security solutions and disclosure programs.
• Advise stakeholders on prioritizing vulnerabilities, implementing secure coding standards, applying cryptographic techniques, and adopting industry-leading security protocols and compliance practices.

What you will bring:

• Over 8 years of experience in web application security, with deep technical knowledge of both common and advanced security vulnerabilities, exploitation techniques, and practical remediation strategies.
• Proven expertise in applied cryptography, threat modeling, vulnerability assessment (including CVSS scoring and penetration testing), as well as secure software development practices across SSDLC and CI/CD pipelines.
• Experience implementing and maintaining security tools and processes for large-scale codebases (such as SAST, SCA, DAST, container scanning), and providing secure coding education to developers.
• Strong programming skills (preferably in Python), with the ability to explain complex security topics clearly to diverse technical and non-technical stakeholders.
• Demonstrated ability to work cross-functionally in collaborative environments, contributing to responsible disclosure, bug bounty, and vulnerability management programs, as well as securing cloud and SaaS environments at scale.

Why Ivanti?

• Remote-friendly, flexible schedules: Empower excellence in every setting and elevate human potential.
• Competitive compensation & total rewards: Including health, wellness, and financial plans tailored for you and your family.
• Global, diverse teams: Collaborate with talented people from 23+ countries.
• Learning & development: Grow your skills with access to best-in-class learning tools and programs.
• Equity & belonging: We value every voice. Your story helps inform our solutions for a changing world.

What drives us

Ivanti’s mission is to elevate human potential within organizations by managing, protecting and automating technology for continuous innovation.

It is through diverse and inclusive hiring, decision-making, and commitment to our employees and partners that we will continue to build and deliver world-class solutions for our customers.

To learn more about Ivanti’s  Mission and Core Values.

Inclusion at Ivanti

Ivanti is proud to be an Equal Opportunity Employer. We’re committed to building a diverse team and fostering an inclusive environment where everyone belongs. We welcome applicants from all backgrounds and walks of life.
Need adjustments during the process? Reach out to talent@ivanti.com—​we’re happy to help.

Ready to make your mark?
Apply today and shape the future of Everywhere Work with Ivanti!

#L1-SHUBHANGI

Responsibilities

We are looking for an exceptional Senior Backend Developer (Ruby) to join our growing Engine team. The Engine team develops and maintains most things related to Workato Recipe runtime. Everything related to recipe execution: DSL, pulling events, processing webhooks, executing jobs. There are various aspects to it: performance, scaling, storage, durability, atomicity, concurrency guarantees, data protection, and encryption. 

 In this role, you will also be responsible to:

• Build/extend/troubleshot/fix complex heterogeneous GOlang and Ruby applications, as well as small self-contained GOlang microservices.

• Improve execution engine of custom third-party code (Ruby DSL, isolation, performance, new features).

• Write well designed, testable, efficient code in Ruby and GOlang.

• Integration of data storage solutions Postgres/S3/DynamoDB/Kafka/ClickHouse etc.

• Contribute in all phases of the development lifecycle.

• Provide code reviews to your teammates.

• Provide technical leadership. Work with other teams on shared projects.

• Evaluate and propose improvements to existing systems.

• Identify bottlenecks and bugs, and devise solutions to these problems.

• Help maintain code quality, organization and automatization.

• We always explore new technologies and work with Rust and Wasm can be foreseen.

Requirements

Qualifications / Experience / Technical Skills

• Strong experience in building scalable distributed backend applications (7+ years).

• Excellent understanding of distributed systems patterns and algorithms.

• Great understanding of all building blocks of large web applications: databases, load balancers, application servers, message brokers, caching, monitoring, etc.

• Excellent understanding of network protocols and stacks.

• Excellent understanding of DB technologies: classic databases and modern no-SQL.

• Knowledge of all common basic data structures and algorithms and how they are used is a must.

• Multilingual programming experience: our code base is primarily in Ruby, with a trend to migrate to GOlang and Rust. At least two languages are required.

• At least basic understanding of cloud deployments (k8s, Terraform, ArgoCD)

• Experience of working with public cloud infrastructure providers(AWS/Azure/Google Cloud).

• Excellent debugging, analytical, problem solving, and social skills.

• BS/MS degree in Computer Science, Engineering or a related subject, 7+ years of industry experience.

Optional

• Background in GOlang, Rust, WASM.

• Background in network programming.

• Background in Kotlin/Multiplatform. 

• Background in application, data security.

• Deep knowledge of physical DB design.

• Experience of working with Docker and other isolation technologies.

• Experience in related fields (DevOps, ML, DBA, Enterprise applications, etc).

• Experience in building/deploying data processing pipelines is a plus.

• Experience of working with third-party REST APIs at scale (request throttling, batch processing etc).

Soft Skills / Personal Characteristics

• Ability to technically lead projects. Work with requirements, cost analysis.

• Readiness to work remotely with teams distributed across the world and timezones.

(REQ ID: 2343)

At JetBrains, we build developer tools that help engineers stay focused on solving hard problems instead of fighting routine work.

Within JetBrains AI, we are collaborating with Zed on the Agent Client Protocol (ACP), an open protocol that lets AI coding agents work inside editors and IDEs. ACP is already supported in JetBrains AI Assistant, and the project is jointly governed by JetBrains and Zed. We see ACP as a long-term investment in interoperability, developer choice, and durable AI-powered workflows across the JetBrains ecosystem. (The JetBrains Blog).

ACP evolves in the open. Real-time coordination happens in Zulip, actionable work is tracked in GitHub Issues, longer-form discussion happens in GitHub Discussions, and substantial protocol changes move through the RFD process. We need someone who can help JetBrains shape that work from the product side: define the right developer scenarios, align internal and external stakeholders, and turn ecosystem needs into clear priorities for JetBrains and for the protocol. (Agent Client Protocol).

This is not a generalist product management role. It is also not a pure protocol engineering role. It sits between developer-experience product work and protocol evolution.

This role is often a strong fit for someone who has spent several years as a software engineer – ideally on APIs, SDKs, web/backend systems, libraries, frameworks, or platform integrations – and then moved into product management or a hybrid product or engineering role.

This will be an exciting opportunity if you:

• Want to shape an open interoperability layer for AI-native software development.
• Enjoy turning messy cross-team technical discussions into clear product direction.
• Like working with engineers, agent developers, and external partners to make complex systems usable and durable.

In this role, you will:

• Identify and prioritize the developer scenarios JetBrains should support through ACP in JetBrains IDEs.
• Study how those scenarios are already handled in CLIs and agents, and define coherent IDE-native flows that JetBrains should support.
• Work on examples such as plan mode, sub-agent workflows, or agent-to-agent communication, and turn them into clear scenario definitions and product requirements.
• Talk to JetBrains product and engineering teams, external agent developers, and partners to collect requirements, constraints, and compatibility concerns.
• Turn those inputs into crisp problem statements, GitHub Issues, success criteria, and roadmap priorities.
• Partner closely with protocol engineers and ACP maintainers to translate validated scenarios into protocol proposals, implementation requirements, and delivery plans.
• Represent JetBrains in regular protocol conversations with Zed and the broader ACP community, helping drive alignment on what belongs in the protocol, what should remain implementation-specific, and what should wait.
• Balance immediate JetBrains product needs against long-term protocol design concerns such as extensibility, backward compatibility, clarity, and ecosystem fit.
• Define and monitor the right telemetry and product metrics for ACP-related surfaces, including agent installation success, authentication success, protocol feature adoption, task completion, reliability, and developer satisfaction.
• Help JetBrains make long-term, product-quality decisions about supporting ACP across multiple IDE experiences.
• Communicate decisions, trade-offs, and priorities clearly to highly technical stakeholders inside and outside JetBrains.

We’ll be happy to have you on our team if you:

• Have 1-4 years of product management experience, or equivalent end-to-end ownership in a hybrid engineering/product role.
• Have a substantial software engineering background and hands-on production coding experience in real systems.
• Understand how modern web and integration primitives work in practice, including OAuth, WebSockets, HTTP, JSON-RPC, and service-to-service communication.
• Are comfortable reasoning about APIs, protocols, payload schemas, event-driven systems, authentication flows, local/remote execution, and backward compatibility.
• Can discuss technical details credibly with engineers and agent developers, even when the conversation goes deep into protocol behavior, edge cases, or extensibility.
• Can take raw technical feedback and turn it into clear user scenarios, requirements, issue tickets, and written decisions.
• Have strong product judgment and can distinguish between a JetBrains-specific UX choice and a protocol-level capability that should be standardized.
• Have a data-driven mindset and know how to combine telemetry, qualitative feedback, and ecosystem signals in product decisions.
• Have strong spoken and written English.

We’d be especially thrilled if you:

• Previously worked as a senior software engineer, staff engineer, library/framework maintainer, SDK owner, or platform/integration engineer before moving closer to product work.
• Have experience with developer tools, IDEs, AI coding agents, CLI workflows, or interoperability layers such as LSP, MCP, or ACP.
• Have contributed to open-source projects or standards-like processes.
• Are comfortable working in public GitHub workflows with Issues, Discussions, pull requests, and proposal documents.
• Have built or supported products where compatibility, extensibility, and future-proofing mattered.
• Use JetBrains IDEs regularly.

#LI-KL1 

As a Staff Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

This role blends hands-on technical work with strategic thinking. You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Identify high-impact ML opportunities and influence stakeholders to prioritize and support these initiatives.
• Design and develop scalable machine learning models — including classifiers, regressors, and rule-based systems — to solve real-world problems.
• Own the full ML lifecycle: from data exploration and feature engineering to model training, evaluation, and deployment.
• Translate complex technical concepts into clear insights for both technical and non-technical stakeholders.
• Set and guide technical direction across ML projects, ensuring technical best practices as well as alignment with business goals.
• Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement.

We're looking for someone with:

• Master’s degree (or equivalent) in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field.
• 7+ years of industry experience building and deploying ML models at scale.
• Proven ability to lead cross-functional technical initiatives and influence engineering strategy.
• Proficiency in Python (with libraries like PyTorch, XGBoost, Scikit-learn) and SQL.
• Strong experience with machine learning pipelines and orchestration tools such as Airflow, SageMaker Pipelines, or similar.
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies.
• A track record of shipping production-level ML products and maintaining high code quality.
• Excellent problem-solving skills and ability to scope and disambiguate complex ML projects into clear, achievable milestones.

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
• Exposure to streaming data platforms like Kafka.
• Contributions to open-source ML projects or publications in ML conferences.

As a Staff Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

This role blends hands-on technical work with strategic thinking. You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Identify high-impact ML opportunities and influence stakeholders to prioritize and support these initiatives.
• Design and develop scalable machine learning models — including classifiers, regressors, and rule-based systems — to solve real-world problems.
• Own the full ML lifecycle: from data exploration and feature engineering to model training, evaluation, and deployment.
• Translate complex technical concepts into clear insights for both technical and non-technical stakeholders.
• Set and guide technical direction across ML projects, ensuring technical best practices as well as alignment with business goals.
• Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement.

We're looking for someone with:

• Master’s degree (or equivalent) in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field.
• 7+ years of industry experience building and deploying ML models at scale.
• Proven ability to lead cross-functional technical initiatives and influence engineering strategy.
• Proficiency in Python (with libraries like PyTorch, XGBoost, Scikit-learn) and SQL.
• Strong experience with machine learning pipelines and orchestration tools such as Airflow, SageMaker Pipelines, or similar.
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies.
• A track record of shipping production-level ML products and maintaining high code quality.
• Excellent problem-solving skills and ability to scope and disambiguate complex ML projects into clear, achievable milestones.

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
• Exposure to streaming data platforms like Kafka.
• Contributions to open-source ML projects or publications in ML conferences.

As a Staff Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

This role blends hands-on technical work with strategic thinking. You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Identify high-impact ML opportunities and influence stakeholders to prioritize and support these initiatives.
• Design and develop scalable machine learning models — including classifiers, regressors, and rule-based systems — to solve real-world problems.
• Own the full ML lifecycle: from data exploration and feature engineering to model training, evaluation, and deployment.
• Translate complex technical concepts into clear insights for both technical and non-technical stakeholders.
• Set and guide technical direction across ML projects, ensuring technical best practices as well as alignment with business goals.
• Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement.

We're looking for someone with:

• Master’s degree (or equivalent) in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field.
• 7+ years of industry experience building and deploying ML models at scale.
• Proven ability to lead cross-functional technical initiatives and influence engineering strategy.
• Proficiency in Python (with libraries like PyTorch, XGBoost, Scikit-learn) and SQL.
• Strong experience with machine learning pipelines and orchestration tools such as Airflow, SageMaker Pipelines, or similar.
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies.
• A track record of shipping production-level ML products and maintaining high code quality.
• Excellent problem-solving skills and ability to scope and disambiguate complex ML projects into clear, achievable milestones.

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
• Exposure to streaming data platforms like Kafka.
• Contributions to open-source ML projects or publications in ML conferences.

As a Staff Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

This role blends hands-on technical work with strategic thinking. You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Identify high-impact ML opportunities and influence stakeholders to prioritize and support these initiatives.
• Design and develop scalable machine learning models — including classifiers, regressors, and rule-based systems — to solve real-world problems.
• Own the full ML lifecycle: from data exploration and feature engineering to model training, evaluation, and deployment.
• Translate complex technical concepts into clear insights for both technical and non-technical stakeholders.
• Set and guide technical direction across ML projects, ensuring technical best practices as well as alignment with business goals.
• Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement.

We're looking for someone with:

• Master’s degree (or equivalent) in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field.
• 7+ years of industry experience building and deploying ML models at scale.
• Proven ability to lead cross-functional technical initiatives and influence engineering strategy.
• Proficiency in Python (with libraries like PyTorch, XGBoost, Scikit-learn) and SQL.
• Strong experience with machine learning pipelines and orchestration tools such as Airflow, SageMaker Pipelines, or similar.
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies.
• A track record of shipping production-level ML products and maintaining high code quality.
• Excellent problem-solving skills and ability to scope and disambiguate complex ML projects into clear, achievable milestones.

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
• Exposure to streaming data platforms like Kafka.
• Contributions to open-source ML projects or publications in ML conferences.

As a Staff Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

This role blends hands-on technical work with strategic thinking. You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Identify high-impact ML opportunities and influence stakeholders to prioritize and support these initiatives.
• Design and develop scalable machine learning models — including classifiers, regressors, and rule-based systems — to solve real-world problems.
• Own the full ML lifecycle: from data exploration and feature engineering to model training, evaluation, and deployment.
• Translate complex technical concepts into clear insights for both technical and non-technical stakeholders.
• Set and guide technical direction across ML projects, ensuring technical best practices as well as alignment with business goals.
• Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement.

We're looking for someone with:

• Master’s degree (or equivalent) in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field.
• 7+ years of industry experience building and deploying ML models at scale.
• Proven ability to lead cross-functional technical initiatives and influence engineering strategy.
• Proficiency in Python (with libraries like PyTorch, XGBoost, Scikit-learn) and SQL.
• Strong experience with machine learning pipelines and orchestration tools such as Airflow, SageMaker Pipelines, or similar.
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies.
• A track record of shipping production-level ML products and maintaining high code quality.
• Excellent problem-solving skills and ability to scope and disambiguate complex ML projects into clear, achievable milestones.

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
• Exposure to streaming data platforms like Kafka.
• Contributions to open-source ML projects or publications in ML conferences.

Title: Systems Engineer

EdgeConneX is seeking a skilled and motivated Systems Engineer to support the global enterprise infrastructure. The candidate will play a critical role in deploying, managing and supporting our global virtual and physical server infrastructure, as well as assisting with the configuration and troubleshooting of our network infrastructure. This role requires a self-motivated & proactive individual with a strong technical background and excellent problem-solving skills.  This position is based in Amsterdam at our Schiphol-Rijk data center, but can be flexible to one day per week remote.  This position could also require as much as 10-20% travel regionally within EMEA to support critical issues.

Primary Responsibilities

• Deploy, configure, and maintain physical and virtual server environments (VMware ESXi, vSAN, and SAN).
• Monitor and optimize infrastructure performance to ensure reliability and high availability.
• Administer enterprise storage systems, including SAN, NAS, and vSAN environments.
• Troubleshoot and resolve issues across compute, storage, and networking systems.
• Perform routine maintenance, updates, and patching of systems to ensure security and stability.
• Manage and configure Cisco network switches in support of server and storage connectivity.
• Deploy, maintain, and troubleshoot virtual machines and guest operating systems including Windows Server, Ubuntu, CentOS, and Red Hat Linux.
• Collaborate with the IT team to design and implement network solutions.
• Provide technical support and guidance to end-users and other IT staff as it related to our enterprise networks.
• Document system configurations, procedures, and troubleshooting steps.
• Provide day-to-day operational support of back-end infrastructure (physical, virtual compute and network)
• Assist in updating network design documentation and schematic diagrams
• Participate in on-call rotation, ensuring uptime of critical servers, networks, and applications.

Knowledge, Skills & Abilities:

• Strong problem-solving skills and a proactive approach to infrastructure management.
• Excellent communication skills and ability to work both independently and in a team setting.
• Ability to prioritize and manage multiple projects/responsibilities/tickets.
• Ability and willingness to create (project) documentation with diagrams to be used for cross-training purposes.
• Excellent planning and organizational skills with the ability to understand the long-term “big picture”.
• Good technical writing skills and strong attention to details

Requirements:

• Bachelor’s Degree in Computer Science or a technical related field.
• 4+ years of professional experience in systems engineering and/or administration
• Strong hands-on experience with VMware vSphere (ESXi, vCenter).
• Foundation in SAN, NAS, and vSAN technologies.
• Familiarity with scripting (Powershell, bash, etc.)
• 1+ years professional experience with Cisco switch configuration and troubleshooting.
• Proficiency in administering Windows and/or Linux server environments.
• Candidates who have worked inside a hyperscale data center are highly encouraged to apply
• Candidates who possess VMware certifications (VCP or higher) are also highly encouraged to apply
• Candidates with experience with backup and disaster recovery solutions are also highly encouraged to apply
• Candidates who have Azure experience would really make a candidate stand out.

Verification of employment with previous employers may be part of the recruitment process to ascertain that the candidate’s work history and qualifications are accurate and align with the requirements of the role. 

About the Role:

The defense and intel pillar is looking for a full-stack software engineer who will be responsible for building systems and integrating with our federal customers. In this role, you will work with multiple internal teams to build our next generation global monitoring application that will drive our next decade of growth.

Your work will be highly visible and will directly impact the ability of customers to get faster access to Planet’s unprecedented datasets. The ideal candidate would have full-stack experience, with experience developing backend services, frontend applications, and data solutions.

This is a full-time, hybrid role which will require you to work from our Haarlem or Ljubljana office 3 days per week.

Impact You’ll Own:

• Participate in the entire engineering lifecycle, from concept to implementation 
• Ownership of the quality and availability of mission systems
• Contribute to the improvement of our architecture, infrastructure, and processes

What You Bring:

• 6+ years of relevant industry experience
• Bachelor’s degree in Computer Science or a relevant field
• Fluency in Golang, Python, Postgresql, & React or related technologies
• Full stack application development experience (Database, Services, Web)
• Experience building frontend applications, preferably in React
• Experience with maintaining infrastructure-in-code
• Experience with logging, alerting, and monitoring tools to support system quality

What Makes You Stand Out:

• Ability to learn new technologies quickly and adjust on the fly to customer needs
• Experience building systems with many integrations
• Experience with geospatial technologies and data

Application Deadline:

July 13, 2026 by 11:59p / 23:59 CET (Central European Time)

Export Control Requirements:

Planet Labs Germany GmbH is authorized to receive U.S. export-controlled information at Planet under an export license issued by the Bureau of Industry and Security. This position requires access to export-controlled information, and as such, employment (or hiring of a contractor) is contingent upon the candidate’s ability to access all applicable export-controlled information without additional export licensing being required by the Bureau of Industry and Security and/or the Directorate of Defense Trade Controls.

Benefits While Working at Planet:

These offerings are dependent on employment type and geographical location, based upon applicable law or company policy.

• Paid time off including vacation, holidays and company-wide days off 
• Employee Wellness Program 
• Home Office Reimbursement
• Monthly Phone and Internet Reimbursement
• Tuition Reimbursement and access to LinkedIn Learning
• Equity 
• Volunteering Paid Time Off

RDQ127R176

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve 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.

Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.

Unity Catalog is our platform native unified and open governance for data and AI. It eliminate silos, simplify governance and accelerate insights at scale. We are looking for a Senior Staff Software Engineer to come tech lead Unity Catalog Runtime Enforcement. We build and harden the runtime enforcement layer for Unity Catalog, ensuring secure, consistent authorization and data access across Databricks compute, engines, and clouds. This reduces incidents and simplifies customer choices by unifying enforcement semantics. 

The impact you will have:

• Lead and grow and engineering team delivering runtime enforcement outcomes in a high-severity, cross-org domain; establish scope, SLAs, and phased roadmaps.
• Establish single-source-of-truth scope, operating model, and durable mechanisms for enforcement.
• Lead multi-year, multi-team initiatives that shape how Databricks enforces Unity Catalog at runtime across compute types and engines.
• Introduce tools to allow greater automation and operability of services.
• Use your deep experience to help prevent and investigate production issues.
• Plan and lead complicated technical projects that work with several teams within the company.
• Contribute as a technical team lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.

What we look for:

• 15+ years industry experience building and supporting large-scale distributed systems.
• Comfortable working towards a multi-year vision with incremental deliverables.
• Extensive experience building and maintaining distributed systems.
• Security first mindset.
• Cross-org leadership in ambiguous, incident-heavy environments; disciplined rollout and ops maturity.
• Motivated by delivering customer value and impact.
• Experience driving company initiatives towards customer satisfaction.
• BS/MS/PhD in Computer Science or related majors, or equivalent experience.
•  

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.

RDQ127R264

This role is open to remote candidates within the Europe, with a preference for those based in London, Netherlands, Germarny or Denmark.

Databricks is seeking an exceptional and strategic  Sr. Staff Security Engineer, Incident Response to join our Incident Response team. This pivotal role will provide decisions that have a direct impact on the long-term success of Databricks' security posture, creating solutions that enable potential future opportunities without a known path. You will play a key role in developing multi-year technology strategy for complete and critical areas of the business, encompassing multiple systems and teams, consistently delivering large-scale projects that meet company goals.

The Incident Response team's mission is to rapidly, efficiently, and standardly respond to security threats, incidents, and investigations to protect our customers, employees, and enterprise data. We leverage Databricks' own platform for near-real-time log analytics, alerting, and forensics, embracing a "Security for Databricks on Databricks" philosophy. As an Sr. Staff Security Engineer, you will tackle the most technical SIRTs, drive complex, open-ended problems with no obvious path to success, act as a multiplier by enabling systems, authoring tools, or introducing policies that elevate the entire organization's productivity.

The impact you will have:

• Strategic Impact & Technical Vision: Drive or influence the organization’s direction and roadmap, leading internal conversations about major technology areas and inspiring adoption. Provide decisions with direct, long-term impact on Databricks' success.
• Incident Leadership & Crisis Management: Lead complex investigations and impact analysis, performing crisis management using the Incident Management System (IMS). Engage with various stakeholders and communicate findings to executive leadership, ensuring successful navigation of major security incidents with minimal business impact.
• Advanced Threat Management: Exhibit expert knowledge in all cloud vendors used by Databricks (AWS, Azure, GCP), deeply understanding the entire architecture of major business components and articulating their security and risk limits. Drive the establishment of a cutting-edge threat detection and response program, significantly reducing Mean Time to Detect (MTTD) and Mean Time to Respond (MTTR) to security incidents.
• Technical Innovation & Automation: Architect scalable and organized frameworks for security automation and orchestration, including pre-investigation analysis and triage of alerts. Understand trends and directions of the security industry within your domain and architect large-scale designs consistent with organizational and company goals.
• Problem Solving: Demonstrate the ability to fix difficult and company-impactful problems wherever they lie, even if outside your comfort zone. Possess a full understanding of what malicious activity looks like in each cloud layer (network, storage, compute), understanding existing logs and correlating from multiple sources during an investigation.
• Cross-Functional Collaboration & Mentorship: Serve as a role model and mentor to every technical member of the team. Identify areas where Databricks can share effectively with the outside world, guiding content creation and communication via presentations and blogs. Work across departments, integrating security practices into various aspects of the organization and product development lifecycle.

What we look for:

• Experience: Typically 12+ years of experience in security, with a strong focus on incident response, detection, and/or threat intelligence, or an advanced degree with 8+ years of experience. This includes deep expertise in Incident Management and Incident Response tool development.
• Cloud Security Expertise: Demonstrates knowledge of Azure and AWS cloud concepts, showing expertise in analyzing logs, correlating available log sources to conclude an attack scenario, and identifying logging gaps to suggest best configurations for IR needs. You can function as an architect of cloud deployment and map cloud environment fundamentals to other major providers.
• Digital Forensics: Highly skilled in multiple areas of digital forensics (e.g., Network, Application/Log Analysis, Host/Disk, Memory Forensics/Malware Analysis, Cloud Forensics, Endpoint Forensics), able to speak confidently on advanced concepts like virtualized networking, advanced network anomalies, and container forensics.
• Enterprise Security: Has a detailed understanding of enterprise security incidents and in-depth knowledge of malware on endpoints. Possesses expert understanding of MacOS security posture and architecture.
• Technical Depth: Proficient with SIEM and SOAR platforms, EDR solutions, and forensic analysis tools. Skilled in leveraging AI and automation technologies to enhance security operations and threat detection capabilities.
• Leadership & Communication: Exceptional ability to engage in difficult conversations, handle them appropriately, and exhibit empathy and emotional intelligence. Proven capability to build, mentor, and lead high-performing cybersecurity teams, fostering a culture of excellence and continuous improvement. Strong communication of technical decisions through design docs and tech talks.
• Bias for Action & Collaboration: A history of proactively identifying and solving issues that impact the team and company. Demonstrates a strong desire to help peers and collaborate effectively.
• Customer/Stakeholder Obsessed: Able to push back or say no to unreasonable stakeholder requests in a professional and constructive manner.

P-1448

Databricks is seeking an experienced Sr. Designated Support Engineer/Premier Support Engineer with a strong technical foundation and a passion for customer engagement. This self-motivated professional will demonstrate high commitment to both customers and internal teams, with excellent communication, project management, and problem-solving skills. In this role, the Sr. Designated Support Engineer/Premier Support Engineer will build and maintain close relationships with strategic customers, manage and prioritize critical issues, and ensure a high-touch, proactive support experience.

Summary: Databricks is seeking an experienced Premier Support Engineer with a strong technical foundation and a passion for customer engagement. This self-motivated professional will demonstrate high commitment to both customers and internal teams, with excellent communication, project management, and problem-solving skills. In this role, the Designated Support Engineer will build and maintain close relationships with strategic customers, manage and prioritize critical issues, and ensure a high-touch, proactive support experience.

The impact you will have:

• Manage large strategic accounts to provide high-touch support experience
• Project manage all open support cases to expedite support ticket closure
• Facilitate customer correspondence with Engineering, Product Team, SMEs, and Accounts Teams to advance tickets toward resolution
• Directly engage on business-impacting situations and ensure recovery of functionality for the customer.
• Successfully engage with Senior Leadership, Technical and Functional staff to remove roadblocks, address delays and mitigate issues
• Effectively use sound business judgment, risk avoidance and SME resources to coordinate team efforts to solve problems
• Carry out regular reviews of customer cases to identify trends
• Champion and advocate for customers and chair roundtables to ensure close communication and relationship building with key stakeholders
• Drive customer self-sufficiency by ensuring customers understand how to engage with the Databricks Support organization and tools

What we look for:

• 5+  years of customer-facing experience as a Support Engineer, Technical Account Manager, DSE or in related areas 
• Minimum 3 years’ experience designing and developing, testing, and sustaining Python/Java/Scala-based applications required
• Highly effective with project managing multiple tasks and work streams, driving them to conclusion
• Demonstrated analytical and problem-solving skills, particularly those that apply to a “Distributed Big Data Computing” environment.
• Excellent executive presence. You are an excellent communicator (written and verbal skills), with demonstrable customer communication and coordination efforts, and the ability to take complex technical ideas and translate them to non-technical stakeholders

P-1127

At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions.

Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.

The Delta DML team owns the core write-path operations for Delta Lake, the open-source storage layer behind the Databricks Lakehouse. Our mission is to deliver industry-leading performance and a seamless user experience at massive scale, with most data written in Databricks flowing through our platform.  We drive performance innovations like Low Shuffle Merge and Deletion Vectors and actively contribute to open source efforts to unify Delta and Iceberg formats.

We are seeking a highly skilled and experienced Senior Staff Software Engineer to join our backend team. In this role, you will be instrumental in designing, developing, and maintaining robust backend systems that power Databricks workspaces. You will build the next-generation platform for serving workspace assets, ensuring high QPS, low latency, reliable, and performant systems, proactively addressing the future growth challenges. Additionally, as a senior member of the team, you will provide technical leadership, mentorship, and guidance to junior engineers, contributing to the overall improvement of team coding practices and system designs.

The Impact you will have:

• Solve real business needs at large scale by applying your software engineering.
• Low level systems debugging, performance measurement, and optimization on large production clusters.
• Build architecture design, influence product roadmap, and take ownership and responsibility over new projects.
• Introduce tools to allow greater automation and operability of services.
• Use your deep experience to help prevent and investigate production issues.
• Plan and lead complicated technical projects that work with several teams within the company.
• Contribute as a technical team lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.

What we look for:

• 15+ years industry experience building and supporting large-scale distributed systems.
• Comfortable working towards a multi-year vision with incremental deliverables.
• Motivated by delivering customer value and impact.
• Strong foundation in algorithms and data structures and their real-world use cases.
• Experience driving company initiatives towards customer satisfaction.
• BS/MS/PhD in Computer Science or related majors, or equivalent experience.

P-1319

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve 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.

As a software engineer with a backend focus, you will work with your team to build infrastructure and products for the Databricks platform at scale.

The impact you'll have:

Our backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as:

• Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience.
• Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store.
• Build reliable, scalable services, e.g. Scala, Kubernetes, and data pipelines, e.g. Spark, Databricks, to power the pricing infrastructure that serves millions of cluster-hours per day and develop product features that empower customers to easily view and control platform usage.

What we look for:

• BS (or higher) in Computer Science, or a related field
• 7+ years of production level experience in one of: Java, Scala, C++, or similar language.
• Experience developing large-scale distributed systems.
• Experience working on a SaaS platform or with Service-Oriented Architectures.
• Good knowledge of SQL.

P-1319

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve 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.

Our Developer Experience team is dedicated to making Databricks engineers happy and highly productive. We build the tools, processes, and infrastructure to accelerate engineering velocity as Databricks scales. The ideal candidate will have a mix of technical expertise in one of language toolchains (Scala, Rust, Python), build systems (especially Bazel), compilers, version control systems, testing but most importantly a passion for solving developer experience problems, and a pragmatic ability to ship results iteratively. 

The impact you'll have:

• Build world-class developer infrastructure that directly empowers every Databricks engineer to do their best work, every day. 
• Dramatically boost the reliability, speed, and efficiency of our largest builds, creating a blazing-fast dev loop and making Bazel a breeze to use.
• Create seamless, out-of-the-box development environments and IDE integrations, allowing engineers to dive into coding and debugging instantly, across all major languages (Scala, Rust, Go, Python, etc)
• Lead pivotal cross-functional projects, influence key architectural decisions, and mentor colleagues to cultivate a culture of innovation and operational excellence.
• Lead thorough evaluations with external vendors, startups, and internal teams to ensure our technology choices are strategically sound and perfectly aligned with our systems and architecture.

What we look for:

• Strong passion for improving developer workflows, productivity and infrastructure.
• In-depth understanding of the software development lifecycle and challenges faced by developers operating at scale.
• Experience with building and managing internal developer tools, CI/CD systems, or related infrastructure.
• Ability to think long-term while delivering incremental, measurable impact. You can balance big-picture strategic thinking with a passion for executing on high-priority initiatives.
• Coding chops, clean, elegant, bug-free code in languages like Scala, Rust, Java, Python, Go
• Minimum of 5 years of experience in fast paced software engineering organisations. 
• BS (or higher) in Computer Science, or a related field.

About the Role: 

We are seeking a Senior Software Engineer to help develop transformative solutions for our most strategic accounts, starting with our Global Defense and Security customers. In this role, you will work directly with key partners, acting as a senior technical contributor and hands-on builder within a collaborative engineering team. Your mission will be to tackle complex, mission-critical customer challenges by building high-impact software solutions.

You will have a high degree of autonomy to design and build what is needed, turning ambiguous requirements into functional and reliable software. Your work will directly contribute to delivering on critical customer commitments and will help inform future product development. This role is ideal for an individual contributor who thrives in dynamic environments and enjoys taking ownership of complex technical problems from design to delivery.

This is a full-time, remote position based in the Netherlands or Belgium with up to 50% time onsite with the customer. If located near the office, you are expected to work from that office 3 days per week.

Impact You’ll Own:

• Contribute to the full development lifecycle: from discovery and decomposition to designing, building, and deploying bespoke solutions for customer challenges.
• Design and develop robust, full-stack software, including front-end, back-end, data integration, cloud infrastructure (e.g., AWS), and CI/CD pipelines.
• Work directly with customers to understand their operational challenges and translate them into clear technical requirements.
• Identify reusable patterns in customer solutions to inform broader platform development.
• Leverage the latest AI tooling and an AI-first mindset to drive rapid iteration, deliver value quickly, and adapt to evolving requirements with a bias for action.
• Mentor other engineers, contribute to code reviews, and help foster a collaborative team environment.
• Deliver critical commitments on time, understanding their direct impact on customer relationships and business objectives.

What You Bring:

• 6+ years of relevant work experience in software engineering or in an equivalent technical role.
• Bachelor’s Degree in a relevant field.
• Experience with geospatial software development and concepts (e.g., Rasterio, Fiona, Shapely, OpenLayers, GDAL).
• AWS or GCP experience.
• Proficiency in Python.
• Excellent knowledge of software engineering best practices, including coding standards, code reviews, source control management, and testing methodologies.
• Excellent customer engagement skills, with the ability to communicate complex technical concepts to diverse audiences.
• Experience with fast, iterative development cycles and an ability to adapt to shifting requirements.
• Willingness to travel 30-50% to customer sites within the region.
• Have the ability to obtain and maintain a security clearance.

What Makes You Stand Out:

• Experience with JavaScript, Java, Go or C#

Application Deadline:

May 22, 2026 by 11:59p / 23:59 CET (Central European Time)

Benefits While Working at Planet:

These offerings are dependent on employment type and geographical location, based upon applicable law or company policy.

• Paid time off including vacation, holidays and company-wide days off 
• Employee Wellness Program 
• Home Office Reimbursement
• Monthly Phone and Internet Reimbursement
• Tuition Reimbursement and access to LinkedIn Learning
• Equity 
• Volunteering Paid Time Off

#LI-REMOTE

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, code is our passion. Ever since we started back in 2000, we have been striving to make the world’s most robust and effective developer tools. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

We are working on an ambitious new platform that provides AI capabilities to all JetBrains products. Our platform is based on models developed in-house for writing and coding assistance, as well as integration with our strategic partners.

We are looking for a Research Engineer who can contribute to training foundation models for coding tasks. You’ll be working on developing Large Language Models from scratch and deploying them into production environments where they will be accessible by end users across the globe.

We value engineers who: 

• Can plan projects and make decisions independently, consulting with others if needed.
• Identify customer needs and prioritize their tasks accordingly.
• Start with the simplest solutions and gradually add complexity as needed.
• Take sole responsibility for an entire subsystem.
• Have a passion for learning and a desire to stay up to date with the latest developments in the LLM field.

In this role, you will: 

• Work with stakeholders to convert business requirements into technical specifications.
• Train LLMs from scratch on a large GPU cluster.
• Collect and process pre-training and fine-tuning datasets.
• Support and improve existing subsystems.

We’ll be happy to have you on our team if you have: 

• Experience in design, deployment, and support of production ML systems.
• A strong theoretical background in NLP and transformer-based approaches.
• Proficiency with modern deep learning frameworks such as PyTorch and common libraries for NLP.
• Experience in distributed training of multi-billion parameter models.
• Attention to detail in everything you do and great communication skills.

We’d be especially thrilled if you have experience with: 

• LLM inference frameworks such as vLLM, DeepSpeed, TensorRT.
• LLM alignment techniques such as RLHF/RLAIF.
• MLOps tools and practices, including CI/CD for ML.
• K8s and Kubeflow.
• Scientific publications in the NLP field.

How we develop JetBrains AI: 

• A cluster of hundreds of NVIDIA GPUs as training infrastructure.
• Git for source control management.
• Python, PyTorch, and HuggingFace as an ML stack.
• Kubeflow and Weights & Biases for experiment tracking.
• TeamCity as a CI Automation system.

#LI-KP1

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.

We just unveiled JetBrains Central,  a platform for agent-driven software development that connects tools, agents, and infrastructure. It enables automated AI workflows to run, be monitored, and be managed across teams – with clear visibility into results, costs, and performance.

JetBrains Central provides three core capabilities:
Governance and control: Policy enforcement, identity and access management, observability, auditability, and cost attribution for agent-driven work. Some of these functionalities are already available via the JetBrains Central Console.
Agent execution infrastructure: Cloud agent runtimes and computation provisioning that allow agents to run reliably across development environments.
Agent optimization and context: Shared semantic context across repositories and projects, enabling agents to access relevant knowledge, and task routing to the most appropriate models or tools.

Inside the Professional Services department, we are building a team of Forward Deployed Engineers to help our customers adopt AI-native development with JetBrains Central and enable JetBrains consulting partners to transform their customers’ AI-native software development lifecycle.

About the role

As a Principal Forward Deployed Engineer, you will work directly with early adopter customers to deploy JetBrains Central platform into complex enterprise environments and help them move from experimental AI usage to governed, scalable AI-native development.

You will act as a trusted advisor to customer engineering teams and consulting partners, while also mentoring other Forward Deployed Engineers and helping with complex deployments. In this role, you will help establish best practices for enterprise AI adoption and influence how organizations implement AI-driven software development.

This role is often a strong fit for engineers who have previously served as Principal or Staff Engineers, Heads of Engineering, CTOs, or Solutions Architects and who enjoy working directly with customers while staying deeply involved with complex technical systems.

This role combines consulting, architecture, and hands-on engineering. Your work in the field will directly influence how our platform evolves and how enterprises adopt AI-driven development.

You will work directly with the world’s most innovative companies — our client base includes 420 of the Fortune 500 — ensuring they maximize the value of their JetBrains investments.

What you’ll do

• Deploy JetBrains Central platform into enterprise development environments, CI/CD systems, and internal developer platforms.
• Help organizations transition from ad-hoc AI experimentation to governed AI-native development workflows.
• Implement enterprise AI governance, including security policies, access management, and data privacy controls.
• Enable observability for AI-driven development to help organizations understand their AI usage and its impact on productivity, as well as their code-generation patterns.
• Design sustainable AI adoption strategies, including usage controls and cost visibility across multiple model providers.
• Integrate our cloud-based agent execution layer, allowing AI agents to run securely and at scale.
• Collaborate closely with JetBrains product teams to shape the platform based on real-world deployments and customer feedback.
• Create delivery frameworks and train JetBrains partners to deliver the desired scope of service.
• Mentor and support other Forward Deployed Engineers, sharing architectural expertise and helping to scale the team’s deployment practices.

You will thrive in this role if you are

• A consultant at heart who can communicate effectively with both engineers and technical leadership.
• Able to see the whole picture of the software development lifecycle across developer tools, infrastructure, APIs, and cloud systems.
• Experienced at integrating complex software systems into enterprise environments.
• Curious about the future of AI agents and AI-native software development.
• Comfortable working with early adopters and overcoming ambiguous technical challenges.
• Motivated to mentor other engineers and contribute to building a new technical discipline.

What you will bring

• Experience in software-related projects, ideally in a customer-facing or consulting environment.
• Familiarity with Java or Python.
• Experience building or integrating developer platforms, infrastructure systems, or software solutions.
• Familiarity with modern development workflows (CI/CD, developer environments, internal developer platforms, etc.).
• Experience working directly with customers or technical stakeholders.
• Strong problem-solving skills and the ability to operate in fast-evolving technical environments.
• Ability and desire to travel to meet customers.

These would be a plus, but are not blockers

• Experience with industry-specific solutions (fintech, telco, retail, etc.)
• Experience with AI/LLM platforms, agent frameworks, or AI-assisted development tools.
  Experience in solutions engineering, consulting, or forward-deployed engineering roles.
• Familiarity with the JetBrains ecosystem or developer productivity tooling.

#LI-KP1

About the Role: 

As a Senior Software Engineer on the Calibration and Validation (CalVal) team, you will be a key contributor to the integrity and evolution of our geometric models. You will design and implement the automated, scalable processes required to ensure our products consistently exceed rigorous geometric specifications and SLAs. You will develop photogrammetric models, error budgets, and calibration concepts for our high-resolution and next-generation monitoring programs, ensuring spatial integrity across diverse fleets. Additionally, you will drive ongoing performance characterization and serve as a lead investigator for complex image quality issues—troubleshooting sensor models and geometric anomalies to architect the long-term fixes that maintain Planet's high standard of spatial data.

This is a full-time, remote position based in the Netherlands. If located near an office, you are expected to work from that office 3 days per week.

Impact You’ll Own:

• Perform ongoing space imaging operations, geometric calibration activities and performance characterization
• Design and implement automated scalable processes to calibrate hundreds to satellites to ensure that our products meet and exceed specifications and SLAs
• Collaborate within a cross functional team to develop performance models, error budgets and calibration concepts for new very high resolution constellation
• Troubleshoot geometric image quality issues and developing long-term mitigations and fixes

What You Bring:

• 10+ years of industry experience with statistical processing and analysis techniques of large sets of measurement data
• Bachelor’s degree in Photogrammetry, Engineering, Physics, or Mathematics, relevant to geometric characterization of space imaging platforms
• Hands-on, can-do attitude, great interpersonal skills, and ability to collaborate effectively
• Understanding of end-to-end image processing chain – from sensor electronics and image ancillary data to geometric characterization
• Passion for Programming, Photography, Remote Sensing, Earth Sciences, and Geography
• Extensive experience leveraging scientific computing using Python in a Unix/Linux environment
• Knowledge of how to scale code with cloud computing resources, e.g. AWS or GCP
• Practical experience in solving problems by exploiting large cloud-based datasets

What Makes You Stand Out:

• 5+ years remote sensing experience + track record of software automation of analysis of imagery/maps
• Master’s degree or PhD in a relevant scientific/engineering field
• Hands-on experience with calibrating and operating very high resolution optical satellites
• Familiarity with design and construction of imaging/capture/camera hardware
• Active contribution to open source projects

Application Deadline:

June 11, 2026 by 11:59p / 23:59 CET (Central European Time)

Export Control Requirements:

Planet Labs Germany GmbH is authorized to receive U.S. export-controlled information at Planet under an export license issued by the Bureau of Industry and Security. This position requires access to export-controlled information, and as such, employment (or hiring of a contractor) is contingent upon the candidate’s ability to access all applicable export-controlled information without additional export licensing being required by the Bureau of Industry and Security and/or the Directorate of Defense Trade Controls.

Benefits While Working at Planet:

These offerings are dependent on employment type and geographical location, based upon applicable law or company policy.

• Paid time off including vacation, holidays and company-wide days off 
• Employee Wellness Program 
• Home Office Reimbursement
• Monthly Phone and Internet Reimbursement
• Tuition Reimbursement and access to LinkedIn Learning
• Equity 
• Volunteering Paid Time Off

#LI-REMOTE

As a Staff Solutions Engineer (SE) at Upbound, you'll be a vital part of our pre-sales team. This role will support all pre-sales efforts in the EMEA region across multiple segments. Once a lead is discovered and qualified, the Solutions Engineer works directly with the customer to understand the technical business problem they are trying to solve. They will help customers navigate and understand the value Upbound products and solutions bring them. Solutions Engineers build credible technical relationships with our customers by listening and then clearly communicating the value proposition of our products in a way that is contextualized to the customer’s specific needs.

Solutions Engineers are deeply familiar with Upbound’s product roadmap and will intuit when to sell ahead of our product roadmap and when to focus on existing solutions based on the customer’s medium and long term vision. Solutions Engineers are expected to deeply understand the key technical and economic buyer's personalities and what it will take to get them to sign a deal.

In this role, you will: 

• Partnering with a Sales Account Executive to engage in technical discussions with customers throughout the buying lifecycle.
• Working cross functionally with product marketing, and independently, to create and deliver high fidelity presentations, custom demos, sample solutions, and present use cases to guide the customer through the buying journey
• Closely partnering with customers and platform builders to solve technical and business challenges which enables them to design, build and implement Crossplane and Upbound Cloud based control plane architectures.
• Working directly with customers and platform builders to define, implement, and test out early proof of concepts of Crossplane and Upbound Cloud.
• Collect detailed customer requirements so product and engineering can accurately estimate and resource the necessary implementation services.
• The technical voice and trusted advisor to the customer and represent the customer needs internally.
• Project manage the account pre and post sale to ensure a smooth and frictionless customer experience through implementation in partnership with Solutions Architect and implementation teams. 

You are a good fit if you have: 

• Worked in pre-sales, consulting, or equivalent experience in an enterprise environment.
• Experience developing relationships with engineering, executive, and commercial teams throughout large organizations.
• Guided customers through designing and deploying Kubernetes to their production environments.
• A deep understanding of highly scaled and reliable services, solutions, and infrastructure in multiple major cloud providers.
• Worked directly with customers and/or open source community members to troubleshoot and solve their complex technical issues preventing successful adoption.
• Deployed and integrated the projects and tools of the Cloud Native Landscape, especially CNCF projects, into production environments.
• A deep understanding of modern operational and application delivery tools and methodologies inside of production deployment workflows, like those from HashiCorp (e.g. Terraform), CI/CD, IaC, and GitOps.
• The ability to work closely with people in a wide variety of disciplines from a wide variety of backgrounds.
• Successfully managed multiple projects and priorities in a fast paced and dynamic environment.
• Successfully identified and removed friction from the buying process resulting in a more streamlined and shortened sales cycle.
• Excitement and comfort being a key part of further defining, scaling, and making this part of our sales process thrive.

It is a plus if: 

• You are actively involved or have contributed to the upstream Kubernetes community.
• You have a history of speaking at technology conferences, blogging/writing technical articles, and/or contributing to a popular open source project.
• You have worked in a startup and distributed/remote team before, and understand the unique challenges of a startup environment.

#LI-REMOTE