Your Role

We’re looking for a Senior QA Engineer to join our Hardware team in Den Bosch and help us build our smart camera and wearables products. You’ll work as part of a multi-functional, autonomous squad using Agile methodology, alongside electrical and mechanical engineers developing the next generation of our products. You’ll be a key player in constantly seeking ways to improve our quality practices and level up the capability of the people around you.

In this position, you’ll:

• Establish and scale automation. You’ll design, implement, and maintain the automated testing infrastructure and test suite for the embedded Linux and RTOS firmware. You should have strong experience using automation technologies such as Robot Framework, Docker, and GitHub Actions, as well as experience testing at different levels of the product – including integration, functional, performance, and stress testing.
• Collaborate and advise. You’ll work closely with our Hardware, Firmware, and Application Software Engineers, as well as the System Architect, to ensure testability is built into the design and to create a reliable, scalable, and easily updateable firmware system.
• Mentor and drive quality. You’ll be a proactive advocate for quality, guiding the team in planning, designing, and delivering comprehensive QA strategies, including both automated and manual testing efforts on complex projects.
• Power our next generation of devices. You will help us move early prototypes into robust, fully functioning, and production-ready devices by being the quality partner throughout the development cycle.

For this role, we're currently considering candidates who live within a commuting distance of our offices in Den Bosch, but, with our flexible work policy, there aren't any requirements for the number of days you come to the office.

Must-Haves

• Expertise in low-level embedded software/firmware testing. You have six or more years of experience in low-level embedded systems and firmware testing, plus you’re an advanced user of a Unix-like operating system.
• Technical proficiency. You’re familiar with HDLs and programming/scripting languages, such as C/C++, Rust, Python, Bash, or others, and are willing to learn new technologies when necessary.
• Team-player mindset. You’re collaborative and flexible and fully commit to a team; in fact, that’s when you perform at your best.

Nice-to-Haves

• A STEM degree. You hold a BSc degree in computer science, computer engineering, electrical engineering, mechanical engineering, or another STEM discipline.
• Similar product experience. You’ve worked on and scaled embedded systems, camera technology, wearables, or Linux-based products.
• Experience in the sports industry. You understand the unique challenges and opportunities within sports technology.

Our Role

• Champion work-life harmony. We’ll give you the flexibility you need in your work life (e.g., flexible vacation time, company-wide holidays and timeout (meeting-free) days, remote work options and more) so you can enjoy your personal life too.
• Guarantee autonomy. We have an open, honest culture and we trust our people from day one. Your team will support you, but you’ll own your work and have the agency to try new ideas. 
• Encourage career growth. We’re lifelong learners who encourage professional development. We’ll give you tons of resources and opportunities to keep growing.
• Provide an environment to help you succeed. We've invested in our offices, designing incredible spaces with our employees in mind. But whether you’re at the office or working remotely, we’ll provide you the tech stack and hardware to do your best work.
• Support your mental and physical health. We care about our employees’ wellbeing. Our Employee Assistance Program, employee resource groups and fitness partner Peerfit have you covered.

Compensation

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

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

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

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

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

The Role

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

Your responsibilities will include:

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

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

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

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

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

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

We expect you to have:

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

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

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

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

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

It will be an added bonus if you have:

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

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

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

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

The role

This role is for Nebius AI R&D, a team focused on applied research and the development of AI-heavy products. Examples of applied research that we have recently published include:

• investigating how test-time guided search can be used to build more powerful agents;
• dramatically scaling task data collection to power reinforcement learning for SWE agents;
• maximizing efficiency of LLM training on agentic trajectories.

One example of an AI product that we are deeply involved in is Nebius Token Factory — an inference and fine-tuning platform for AI models.

This role will require expertise in distributed systems to build large-scale LLM training platform.

Your responsibilities will include: 

• Designing and developing LLM training platform.
• Maintaining our ML infrastructure, ensuring optimal performance, scalability and reliability.
• Improving job scheduling strategies to minimize resource fragmentation. 

We expect you to have:

• 5+ years of professional software development experience.
• Strong software engineering skills (we mostly use Python and Go).
• Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing.
• Experience with developing web services.
• A commitment to maintaining extreme rigor in all job-related activities.

Nice to have:

• Previous experience working with language models or other similar NLP technologies.
• A track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment.
• Strong engineering skills, including experience in developing large distributed systems or high-load web services.
• Open-source projects that showcase your engineering prowess.

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

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

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

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

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

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

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

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

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

About Nebius

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

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

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

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

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

The role

Nebius is searching for a Enterprise Networks Engineer with strong automation skills to design, implement, and optimize enterprise networks, including wired, wireless, and VPN infrastructure. 

Your responsibilities will include: 

• Lead the design, implementation, and optimization of enterprise wired and wireless networks, ensuring scalability, security, and high availability
• Own and maintain network connectivity between branch offices around the world, partnering with global teams to standardize architecture and operations
• Manage and ensure the reliable operation of remote access systems (VPN), including capacity planning, resiliency, and continuous improvements
• Deploy, maintain, and continuously improve automation and monitoring tools; define best practices and drive automation-first operations
• Diagnose and resolve complex network issues, including cross-region and cross-provider incidents; perform root cause analysis and implement preventative measures
• Test, evaluate, and introduce new equipment and emerging technologies; contribute findings and recommendations into global R&D streams
• Collaborate with telecom service providers globally; lead escalations, manage SLAs, and drive service improvements

We expect you to have: 

• In-depth knowledge of TCP/IP technologies
• Familiarity with dynamic routing protocols
• Experience in automation using Python, Go, or other popular programming languages (ability to design and maintain production-grade automation)
• Proficiency in Unix system administration
• Hands-on experience with enterprise-grade network hardware (e.g., Cisco, Aruba, Arista, Extreme, Juniper)
• Strong ability to work independently, owning outcomes end-to-end in a senior/lead capacity

It will be an added bonus if you have: 

• Experience with network automation frameworks like Ansible, Terraform, NetBox, Nornir, or SaltStack
• Experience designing, developing, and operating high-load distributed systems
• Experience building high-density enterprise wireless networks (CWNA level or higher)
• Working knowledge of IPv6

About the Role
We are looking for a QA Engineer specializing in servers and server components to ensure quality, performance, reliability, and compatibility for purpose of modern server platforms.
In this role, you will work closely with hardware, firmware, system, services, and application teams to validate server architectures and components across the full product lifecycle - from early prototypes to production deployment.

Responsibilities
System & Component Validation
• Qualify complete server system architecture, including compute, memory, storage, networking, and accelerators
• Test and validate interactions between server components: CPU, DRAM, NVMe devices, Network interface cards (NICs), GPUs / accelerators.
• Perform individual component testing to verify performance, stability, and reliability prior to and after system integration
• Execute system-level validation under different configurations, workloads, and use cases
• Evaluate benchmark results against: technical specifications, business and application requirements, historical baselines and previous generations
• Identify performance regressions, instability, and reliability issues under sustained load and stress conditions
• Ensure hardware components and firmware meet business needs, performance goals, and specifications

Firmware, BIOS & BMC Validation
• Test and validate firmware for BMC / BIOS / FPGA
• Validate BMC functionality including IPMI/Redfish, sensors, power, thermal management, and logging
• Perform firmware upgrade, downgrade, and regression testing
• Assess firmware impact on performance, stability, and reliability across different hardware configurations
• Prepare and maintain test cases, checklists, and test reports
• Participate in platform validation for manufacturing and production readiness

Required
• Strong understanding of server system architecture
• In-depth knowledge of server components and their operation:
• Experience with component-level and system-level testing
• Understanding of BIOS/UEFI and BMC fundamentals
• Practical experience with Linux (command line, system tools, logs)
• Scripting skills (e.g. Bash, Python) for test and benchmark automation
• Ability to analyze performance data and identify regressions or anomalies
• Strong debugging, documentation, and communication skills

Nice to Have
• Experience with data center or server-grade hardware platforms
• Familiarity with common bench-marking and stress tools
• Understanding of PCIe topology and system interconnects
• Experience with reliability, power, and thermal testing
• Exposure to production, manufacturing, or fleet-scale validation
• Experience working with early hardware prototypes

The role 

Nebius is looking for candidates to strengthen its datacenter facilities engineering team. You will work, individually and in collaboration, with internal business partners (Technical Project managers, Data Center IT, IT Procurement, Network Engineering) and with external vendors to validate and test installation & operation performance of data center mechanical systems. 

This role requires a flexible, pro-active mindset with attention for details and good communication skills, and a willingness to travel.

You’re welcome to work in our office in Amsterdam, hybrid or remotely.

Your responsibilities will include: 

• Plan and implement cost-effective and reliant mechanical designs and distribution systems
• Work with internal business partners like Technical Project Management, Data Center IT, IT Procurement, Network Engineering, and with external vendors to validate and test installation & operation performance of data center mechanical systems
• Create designs which meet and exceed Nebius’s quality benchmarks within our budget capacity
• Seek new designs and amalgamate new technologies within Nebius AI’s data center planning and infrastructure
• Identify and document list of electrical equipment and components required during the build/installation phase
• Work on multiple projects in different locations, and visit the construction sites to oversee the work of external vendors and contractors

We expect you to have: 

• Minimum Bachelor’s degree in building services engineering or mechanical engineering, or 10+ years of relevant mechanical engineering experience in mission critical facilities environment including but not limited to: data centers, power generation and oil/gas facilities
• 7+ years of experience in creating mechanical design documentation for construction
• 7+ years of experience in commercial and/or Industrial Mechanical design
• In-depth knowledge of data centre design, BMS & HVAC design and related product development
• In-depth knowledge and understanding of data centre mechanical systems, chillers air-cooled & water-cooled, pumps, cooling towers, heat exchangers, CRAHs/CRAC, fans, air economizers, water treatment etc.
• Good understanding of electrical equipment and system designs related to data centers
• Good data analysis skills
• Excellent communication skills, attention to detail and ability to maintain high quality standards

It will be an added bonus if you have: 

Required qualification + one or two certifications like:

• CDCE (Certified Data Centre Expert or Equivalent Highest Certification)
• CDCS (Certified Data Centre Specialist or Equivalent Intermediate Certification)
• CDCP (Certified Data Centre Professional or Equivalent Basic Certification)
• CDCDP (Certified Data Centre Design Professional or Equivalent)
• DCIE (Data Centre Infrastructure Expert or Equivalent)

The role

Your responsibilities will include:

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

Required Skills & Qualifications: 

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

It will be an added bonus if you have:

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

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

Who we are supporting 

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

The NCIA provides a wide range of services, including:

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

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

The program

Assistance and Advisory Service (AAS)

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

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

Role ID - 2025-0349

Role Background

The NATO Communications and Information Agency (NCIA) has been established with a view to meeting the collective requirements of some or all NATO nations in the fields of capability delivery and service provision related to Consultation, Command & Control as well as Communications, Information and Cyber Defence functions, thereby also facilitating the integration of Intelligence, Surveillance, Reconnaissance, Target Acquisition functions and their associated information exchange.

NCIA is dedicated to acquiring, deploying, and defending communication systems for NATO’s political decision-makers and Commands. It operates on the frontlines against cyber-attacks, collaborating closely with governments and industry to prevent future debilitating attacks. The NCIA plays a crucial role in maintaining NATO’s technological edge and ensuring the collective defence and crisis management capabilities of the Alliance. In pursuit of our mission, we require specialized advisory services to enhance  our interim workforce capacity.

Role Duties and Responsibilities

• Antenna and RF Signal-Chain Engineering
  • Maintaining antenna pointing, tracking, alignment, calibration of mechanical and control systems.
  • Overseeing RF front-end/back-end maintenance: modems, up/down-converters, LNA/TWTA/SSPA, filters, waveguides, and associated hardware.
  • Supporting link budget verification, signal quality monitoring, noise figure control, interference mitigation.
  • Assisting with weather, environmental, and surface reflections effects impacting signal path (radome maintenance, protective surfaces).
• Structural, Anchoring & Civil/Mechanical Systems
  • Inspecting and maintain antenna foundations, pedestals, radome structural integrity, anchoring systems.
  • Supporting civil/structural works associated with site, including radomes, support towers, site drainage, buildings, shelters.
  • Overseeing mechanical equipment: radome motors/hydraulic or pneumatic systems, radome seals..
• Power, Environmental & Facility Systems
  • Managing prime power (diesel generators, fuel systems), backup power, UPS, battery systems.
  • Maintaining HVAC, air handling, climate control, dehumidification, ventilation, fire suppression systems.
  • Monitoring environmental conditions inside RF shelters/rooms (temperature, humidity) critical to RF performance.
• Safety, Compliance & Regulatory
  • Ensuring site compliance with host nation electrical codes, HSE standards, safety policies (electrical, fire, hazardous substances).
  • Maintaining grounding, lightning protection bonding per standards.
  • Supporting audits, certifications, inspections, and ensure documentation is up to date.
• Lifecycle, Obsolescence & Upgrade Support
  • Tracking equipment lifecycles and obsolescence risk (spare parts availability, vendor support).
  • Assisting in preparing upgrade / replacement plans for aging or failing components.
  • Supporting integration of new equipment or enhancements (e.g. filter upgrades, RF path improvements, mechanical improvements).
• Operational Support & Incident Response
  • Providing fault diagnosis and corrective maintenance for station infrastructure and RF/SATCOM systems.
  • Supporting 24/7 or emergency response as required (depending on severity).
  • Liaising with operations, remote support, or central engineering for resolving issues beyond local scope.
• Documentation, Reporting & Interface
  • Maintaining configuration control: keep technical baselines, drawings, as-built documentation up to date.
  • Maintaining local logbooks, ITSM/Ticketing system entries, TT-Comms (or equivalent).
  • Producing monthly engineering support reports with activities, faults, corrective and preventive maintenance, recommendations, risk assessments.
  • Supporting the Principal Engineer with technical justifications, decision support, acceptance of delivered works, and briefing material.

Essential Skills, Experience and Certifications

• SATCOM Expertise: Minimum of three years of practical experience in SATCOM systems, including UHF, SHF, HF and EHF systems.
• Technical Expertise: Familiarity with modern military communication networks, including interfaces, protocols, and experience with SATCOM Operations.
• Customer Service and Incident Management: Experience in service management (incident, problem management, etc.) and a customer-focused approach in a control centre environment.
• Experience in test equipment usage (e.g. spectrum analyser, vector network analyser, oscilloscope, power meter) and ability to automatize measurements using different programs/programming languages (e.g. LabView, Matlab, Pyhton, C).
• NATO Environment: Prior experience working in a NATO or multinational military setting, with a solid understanding of NATO operational standards and protocols.

Education

• University Degree in Telecommunications, Electronics, or a related field, with at least two years of post-related experience or Higher Vocational Training with a minimum of five years of post-related experience.

Language

• English

Working Location

• The Hague, Netherlands

Working Policy

• Onsite

Travel

• Some travel to other NATO sites may be required

Security Clearance

• Valid National or NATO Secret personal security clearance

The presales mission is to sell better to reduce turn rate and to push for value-driven propositions that solve for customers. 

As a Solutions Engineer, you will partner with the sales organization seamlessly to drive the execution of prospective and expansive deals. You will utilize your technical knowledge to become a trusted partner with sales and services.

What will your day-to-day look like? 

• Building and maintaining relationships with sales reps, partners, customers and other internal stakeholders
• Gaining knowledge of HubSpot products for better-proposed solutions
• Understanding customer challenges and how to deliver technical value to meet their business goals and objectives
• Participating and directing projects relevant to presales, sales, and the wider business
• Coaching and mentoring less experienced team members

What do you need to succeed in this role? 

• Fluency in written and spoken English & Dutch
• PreSales, technical consultant/sales role or similar (6+ years)
• Experience working with internal teams and stakeholders and dealing with external customers 
• You are open to admitting mistakes and believe that actionable feedback is a great way to learn and grow
• You enjoy collaborating with different teams and are motivated to develop yourself
• You have HEART

What are the perks that come with this role?

• Constant learning - HubSpot product is frequently updated and you need to be aware of all the new features.
• Supportive team - your peers and Manager will be there to set you up for success.
• Professional Development - career progression in PreSales, or transitioning to other teams; Mentorship, and Team Lead Programs. 
• Benefits - check out here

The presales mission is to sell better to reduce turn rate and to push for value-driven propositions that solve for customers. 

As a Corporate Solutions Engineer, you will partner with the sales organization seamlessly to drive the execution of prospective and expansive deals. You will utilize your technical knowledge to become a trusted partner with sales and services.

What will your day-to-day look like? 

• Building and maintaining relationships with sales reps, partners, customers and other internal stakeholders
• Gaining knowledge of HubSpot products for better-proposed solutions
• Understanding customer challenges and how to deliver technical value to meet their business goals and objectives
• Participating and directing projects relevant to presales, sales, and the wider business
• Coaching and mentoring less experienced team members

What do you need to succeed in this role? 

• Fluency in written and spoken English & Dutch
• PreSales, technical consultant/sales role or similar (6+ years)
• Experience working with internal teams and stakeholders and dealing with external customers 
• You are open to admitting mistakes and believe that actionable feedback is a great way to learn and grow
• You enjoy collaborating with different teams and are motivated to develop yourself
• You have HEART

What are the perks that come with this role?

• Constant learning - HubSpot product is frequently updated and you need to be aware of all the new features.
• Supportive team - your peers and Manager will be there to set you up for success.
• Professional Development - career progression in PreSales, or transitioning to other teams; Mentorship, and Team Lead Programs. 
• Benefits - check out here

The presales mission is to sell better to reduce turn rate and to push for value-driven propositions that solve for customers. 

As a Corporate Solutions Engineer, you will partner with the sales organization seamlessly to drive the execution of prospective and expansive deals. You will utilize your technical knowledge to become a trusted partner with sales and services.

What will your day-to-day look like? 

• Building and maintaining relationships with sales reps, partners, customers and other internal stakeholders
• Gaining knowledge of HubSpot products for better-proposed solutions
• Understanding customer challenges and how to deliver technical value to meet their business goals and objectives
• Participating and directing projects relevant to presales, sales, and the wider business
• Coaching and mentoring less experienced team members

What do you need to succeed in this role? 

• Fluency in written and spoken English & Dutch
• PreSales, technical consultant/sales role or similar (6+ years)
• Experience working with internal teams and stakeholders and dealing with external customers 
• You are open to admitting mistakes and believe that actionable feedback is a great way to learn and grow
• You enjoy collaborating with different teams and are motivated to develop yourself
• You have HEART

What are the perks that come with this role?

• Constant learning - HubSpot product is frequently updated and you need to be aware of all the new features.
• Supportive team - your peers and Manager will be there to set you up for success.
• Professional Development - career progression in PreSales, or transitioning to other teams; Mentorship, and Team Lead Programs. 
• Benefits - check out here

The presales mission is to sell better to reduce turn rate and to push for value-driven propositions that solve for customers. 

As a Corporate Solutions Engineer, you will partner with the sales organization seamlessly to drive the execution of prospective and expansive deals. You will utilize your technical knowledge to become a trusted partner with sales and services.

What will your day-to-day look like? 

• Building and maintaining relationships with sales reps, partners, customers and other internal stakeholders
• Gaining knowledge of HubSpot products for better-proposed solutions
• Understanding customer challenges and how to deliver technical value to meet their business goals and objectives
• Participating and directing projects relevant to presales, sales, and the wider business
• Coaching and mentoring less experienced team members

What do you need to succeed in this role? 

• Fluency in written and spoken English & Dutch
• PreSales, technical consultant/sales role or similar (6+ years)
• Experience working with internal teams and stakeholders and dealing with external customers 
• You are open to admitting mistakes and believe that actionable feedback is a great way to learn and grow
• You enjoy collaborating with different teams and are motivated to develop yourself
• You have HEART

What are the perks that come with this role?

• Constant learning - HubSpot product is frequently updated and you need to be aware of all the new features.
• Supportive team - your peers and Manager will be there to set you up for success.
• Professional Development - career progression in PreSales, or transitioning to other teams; Mentorship, and Team Lead Programs. 
• Benefits - check out here

The presales mission is to sell better to reduce turn rate and to push for value-driven propositions that solve for customers. 

As a Corporate Solutions Engineer, you will partner with the sales organization seamlessly to drive the execution of prospective and expansive deals. You will utilize your technical knowledge to become a trusted partner with sales and services.

What will your day-to-day look like? 

• Building and maintaining relationships with sales reps, partners, customers and other internal stakeholders
• Gaining knowledge of HubSpot products for better-proposed solutions
• Understanding customer challenges and how to deliver technical value to meet their business goals and objectives
• Participating and directing projects relevant to presales, sales, and the wider business
• Coaching and mentoring less experienced team members

What do you need to succeed in this role? 

• Fluency in written and spoken English & Dutch
• PreSales, technical consultant/sales role or similar (6+ years)
• Experience working with internal teams and stakeholders and dealing with external customers 
• You are open to admitting mistakes and believe that actionable feedback is a great way to learn and grow
• You enjoy collaborating with different teams and are motivated to develop yourself
• You have HEART

What are the perks that come with this role?

• Constant learning - HubSpot product is frequently updated and you need to be aware of all the new features.
• Supportive team - your peers and Manager will be there to set you up for success.
• Professional Development - career progression in PreSales, or transitioning to other teams; Mentorship, and Team Lead Programs. 
• Benefits - check out here

The presales mission is to sell better to reduce turn rate and to push for value-driven propositions that solve for customers. 

As a Corporate Solutions Engineer, you will partner with the sales organization seamlessly to drive the execution of prospective and expansive deals. You will utilize your technical knowledge to become a trusted partner with sales and services.

What will your day-to-day look like? 

• Building and maintaining relationships with sales reps, partners, customers and other internal stakeholders
• Gaining knowledge of HubSpot products for better-proposed solutions
• Understanding customer challenges and how to deliver technical value to meet their business goals and objectives
• Participating and directing projects relevant to presales, sales, and the wider business
• Coaching and mentoring less experienced team members

What do you need to succeed in this role? 

• Fluency in written and spoken English & Dutch
• PreSales, technical consultant/sales role or similar (6+ years)
• Experience working with internal teams and stakeholders and dealing with external customers 
• You are open to admitting mistakes and believe that actionable feedback is a great way to learn and grow
• You enjoy collaborating with different teams and are motivated to develop yourself
• You have HEART

What are the perks that come with this role?

• Constant learning - HubSpot product is frequently updated and you need to be aware of all the new features.
• Supportive team - your peers and Manager will be there to set you up for success.
• Professional Development - career progression in PreSales, or transitioning to other teams; Mentorship, and Team Lead Programs. 
• Benefits - check out here

ABOUT THE JOB
You’ll own the technical development of large aircraft from white paper sketches and conceptual design through detailed design, build, flight test, transition to production, and sustainment. This includes vehicle layout and conceptual design, airframe and propulsion system design and integration, guidance section development, payload and datalink integration, fabrication and flight test. These projects will be diverse in nature and require you to leverage your technical expertise as well as leadership skills to set objectives, build a team, and drive to completion. The ability to leverage your intuition and prior experience in programmatic level decision will play a key component in making sure the right design/analysis/ and test steps are being completed to ensure success without simply completing steps for the sake of the process that don’t add value. The ideal candidate will leverage their experience executing and successfully completing prior highly optimized multi-disciplinary projects.

WHAT YOU’LL DO:

• Work closely with the customer to develop or evolve a large autonomous air vehicle. This will require close coordination with Anduril Growth, Export compliance, technical departments, US and Foreign Suppliers and US and Foreign government subject matter experts and senior leaders.
• The intent is to have a strong technical chief engineer who can become engaged in the design process, gain a deep understanding of the aircraft, and leveraging understanding of export regulations, identify technical development roadmaps including: scope, cost and schedule required to prototype, test, and manufacture exportable air vehicle.
• Lead technical and programmatic execution of new and existing air vehicle systems design, fabrication, test, productization and sustainment.
• Own the technical and programmatic success of your programs, establish technical and programmatic vision assemble teams of internal and external subject matter experts, and communicate that vision to them.
• Candidate will begin with a high level of individual contributor work to initiate a program. Success will result in potential production capability. This will require building a technical and programmatic team around business opportunities.
• Set up trades to enable the exploration of early conceptual designs while working closely with technical SME’s and Business Development teams to find the right solution to current and future gaps in the sovereign capability to ensure the warfighter has the best solution for current and future conflicts.
• Manage the detailed design of the system and subsystems including requirements development, sub-system trades and optimization, risk management etc. to ensure the appropriate consideration of design key performance parameters, schedule, costs and risks.
• Coordinate the fabrication of prototype and low-rate production articles and subsystem/system level test efforts.
• Develop budgetary estimates and schedules working with functional engineering teams
• Work with suppliers and vendors to incorporate relevant capabilities onto the air vehicle.

REQUIRED QUALIFICATIONS

• Aerospace, Mechanical, Electrical, or Software Engineering Degree from an accredited institution
• 10+ years of technical engineering experience in a professional environment
• Deep understanding of unmanned aircraft at and above Group 3 class
• Experience with aircraft system design, prototype and test
• Experience in a senior role leading air vehicle programs from initial concept through test and delivery to customers
• Experience driving strategic direction in competitive landscapes, solving complex system optimization challenges under tight constraints.
• Proven ability to deliver functional capabilities while aligning technical objectives with programmatic outcomes.
• Demonstrated collaboration and partnerships with internal and external stakeholders
• Strong understanding of the “why” behind Vehicle and Systems design.
• Experience with sovereign military design standards and airworthiness processes
• Experience integrating foreign vendor engineering and manufacturing teams, as well as subsystems and other products
• Must be able to obtain and hold a Dutch government security clearance

PREFERRED QUALIFICATIONS

• Experience with unmanned aircraft system design, prototype and test
• Experience managing technical development programs
• Experience with Foreign Military Sales, Direct commercial sales of defense systems

Why this role?

We need someone who has built the platforms and infrastructure that enable quality at scale, not a traditional QA tester. We're looking for the kind of person who set up SonarQube for an org, built quality gates into CI pipelines, created end-to-end testing frameworks, or stood up developer productivity metrics. This hire strengthens our "test" capability and ensures quality is embedded into the delivery pipeline by design.

Overview

We're looking for a DevOps/SRE Engineer with a quality engineering and developer productivity background to join Release Engineering. You'll own the tooling and infrastructure that ensures code quality, test reliability, and engineering productivity across all of our stacks, making it easy for engineers to do the right thing by default.

What You'll Do

• Own and evolve our code quality infrastructure: static analysis (SonarQube), quality gates, coverage reporting, and integration with CI/CD pipelines.
• Build and maintain testing frameworks and infrastructure: end-to-end testing platforms, test orchestration, flaky test detection, and test environment management.
• Define and implement quality gates across the delivery pipeline, from PR checks through staging and production promotion.
• Drive developer productivity tooling: build performance monitoring, CI feedback loops, and metrics dashboards (build times, test reliability, cycle time).
• Partner with engineering teams to create "golden paths" that embed quality into the standard development workflow without adding friction.

What We're Looking For

• 3+ years of experience in a platform, DevOps, SRE, or developer productivity role with a strong quality engineering focus.
• Hands-on experience setting up and operating code quality platforms (SonarQube, CodeClimate, or similar) and integrating them into CI/CD workflows.
• Experience building or maintaining test automation infrastructure (not writing test cases, but building the platforms that enable testing at scale).
• Familiarity with CI/CD systems, containerized environments, and build tooling.
• An engineering mindset: you solve quality problems with tooling and automation, not manual processes.

Nice to Have

• Experience with Bazel or monorepo build systems and their quality/testing integrations.
• Background in developer productivity metrics (DORA, SPACE, or custom frameworks).
• Familiarity with test impact analysis, selective test execution, or AI-assisted quality tooling.
• Experience working in a multi-stack environment (Go, JS/TS, Erlang/Elixir).

Why this role?

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

Overview

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

What You'll Do

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

What We're Looking For

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

Nice to Have

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

Dataiku is looking for a Data Engineer to join our Enterprise Data and Analytics (EDA) team. As a member of the EDA team, you will play a central role in delivering data to fuel analytics and data-driven insights to various stakeholders and teams within the company. You will also be a key technical member contributing to the data platform that fuels centralized analytics, embedded analytics teams, Generative AI engineering, and self-service users across the organization.

This role is about 50% Data Operations, Support & Troubleshooting, and 50% new development. The data engineering day-to-day will primarily be within the data platform built using Snowflake, Dataiku, and GitHub. Primary development will focus on Python & SQL, DataOps processes built within GitHub Actions & Dataiku, and data platform processes built within Snowflake & Dataiku.

Non-technical skills and learning are also critical, as you will collaborate with engineers from various teams and help deliver solutions across a wide variety of technical domains. The ideal candidate is naturally curious, has excellent verbal and written communication skills, a sharp analytical mind, a positive attitude towards work, and thrives when collaborating towards a shared goal.

This is an internal and non-client facing role.

What you’ll do: 

Dataiku is unique in that every Dataiker is encouraged to use our own product within our Enterprise Data Platform.  That means this is a unique opportunity to deliver a scalable platform with governed data to fuel an entire company of current or potential Data Analysts & Data Consumers! Your responsibilities within the team include but are not limited to:

• Develop engineering expertise within the Dataiku Platform to help maintain and develop system integrations, platform automations, and platform configurations.

• Develop engineering expertise  within Snowflake for data engineering and security/governance features

• Build & maintain python & SQL data replication & data pipelines on large & often complex data sets 

• Build & maintain data quality metrics & observability to help drive data quality standards

• Learn about existing systems and  processes across Data Platforms, Data Engineering and Data Governance

• Troubleshoot data pipelines, platform automations, data access system.

• Help field and troubleshoot various community questions and challenges

• Own, maintain and enhance data operation processes, monitoring & data quality systems

• Design data models for both short term and long term use cases to support data warehouse scalability

• Build & maintain administration systems and applications for monitoring, alerting, data observability, access management, platform metrics, and end user transparency

• Identify opportunities for improvements & optimization for greater scalability & delivery velocity

• Collaborate closely with Analytics Engineers to provide data & data models for analytical deliverables

• Perform root cause analysis on often complex errors to help ensure data pipeline availability

• Help test new features in Dataiku and partner tools to both provide feedback internally as well as determine value towards internal analytics & data platform integration

• Work closely with key stakeholders across the organization including Infra, embedded analytics teams, Product and Engineering to help foster both technical implementations & requirements gathering

• Proactively drive innovation internally with bringing ideas for platform and process improvements 

• Help contribute to the ongoing documentation of internal systems and processes

Requirements: 

• 2+ years of relevant experience in Data Engineering / Data Platform Engineering

• Strong technical skills in SQL & Python are a must. Experience in Dataiku DSS is a big plus. 

• Prior experience with Snowflake a plus

• Prior experience with DevOps technologies such as Github Actions, Azure DevOps or Jenkins

• Experience in building data models

• Prior experience building and maintaining replication & data pipelines in a cloud data warehouse or data lake environment

• Excellent analytical and creative problem-solving skills - exhibit confidence to ask questions to bring clarity, share ideas, and challenge the norm.

• Passion for continuous learning and teaching to help learn & teach new technologies & implementation strategies

• Experience working with complex stakeholders; dissecting vague asks and helping to define tangible requirements

• Ability to manage multiple projects and time constraints simultaneously in a high-trust remote environment

• Ability to wear multiple hats depending on the project with the focus on accomplishing end goals while inspiring colleagues to do the same

• Excellent written and verbal communication skills (especially with senior-level stakeholders) with the ability to speak to both the business value, data products, & technical capabilities of a platform. Ability to create clear and concise documentations with a high degree of precision

Dataiku is looking for a Data Engineer II to join our Enterprise Data and Analytics (EDA) team. As a member of the EDA Team, you will play a central role in delivering data to fuel analytics, AI, and data-driven insights to various stakeholders and teams within the company. You will also be a key technical member contributing to the Data Platform that fuels centralized analytics, Generative AI engineering, embedded analytics teams, and self-service users across the organization.

You will become a technical expert on the various platforms we work in and help drive engineering excellence both within the EDA team and across the wider Analytics Community. The Data Engineering day to day will primarily be within the Data Platform built using Snowflake, Dataiku, and GitHub. Primary development will focus on Python & SQL, DataOps processes built within GitHub Actions & Dataiku, and data platform processes built within Snowflake & Dataiku.

Non-technical skills and learning are also critical, as you will collaborate with engineers from various teams and help deliver solutions across a wide variety of technical domains. Strong software development lifecycle knowledge and DataOps skills are a must. The ideal candidate is naturally curious, has excellent verbal and written communication skills, a sharp analytical mind, a positive attitude towards work, and thrives when collaborating towards a shared goal.

This is an internal and non-client-facing role.

What you’ll do: 

Dataiku is unique in that every Dataiker is encouraged to use our own product within our Enterprise Data Platform.  That means this is a unique opportunity to deliver a scalable platform with governed data to fuel an entire company of current or potential Data Analysts! Your responsibilities within the team include but are not limited to:

• Be an expert level engineer within the Dataiku Platform including Platform Automation, GenAI Capabilities, Plugin Development, maintenance & troubleshooting

• Be an expert  level engineer within Snowflake for data engineering and security/governance features

• Build & maintain python & SQL based platform automation process

• Build & maintain data quality metrics & observability to help drive data quality standards

• Design data models for both short term and long term use cases to support data warehouse scalability

• Build & maintain administration systems and applications for monitoring, alerting, data observability, access management, platform metrics, and end user transparency

• Build & maintain GenAI Platform platform solutions focused on security and governance for engineering delivery

• Build & maintain DataOps process for SDLC delivery

• Identify opportunities for improvements & optimization for greater scalability & delivery velocity

• Collaborate closely with Analytics Engineers to provide data & data models for analytical deliverables

• Perform root cause analysis on often complex errors to help ensure data pipeline availability

• Help drive technical & architectural decisions on the data platform including decisions on data architecture, data engineering processes, data quality frameworks, data access security & governance frameworks, DataOps processes & data consumption models.

• Help test new features in Dataiku and partner tools to both provide feedback internally as well as determine value towards internal analytics & data platform integration

• Work closely with key stakeholders across the organization including Infra, embedded analytics teams, Product and Engineering to help foster both technical implementations & requirements gathering

• Proactively drive innovation internally with dedicated innovation time & projects that aim to be transformational for either the platform, team or company as a whole.

• Actively contribute to the expertise level and competencies of the EDA Team and participate in the creation and support of data development standards and best practices. 

Requirements : 

• 3+ years of relevant experience in Data Engineering / Data Platform Engineering

• Expertise in SQL & Python is a must. Experience in Dataiku DSS is a big plus. 

• Prior experience with Snowflake strongly desired

• Prior experience with DevOps technologies such as Github Actions, Azure DevOps or Jenkins

• Strong understanding of data architecture & data modeling concepts

• Prior experience building and maintaining replication & data pipelines in a cloud data warehouse or data lake environment

• Excellent analytical and creative problem-solving skills - exhibit confidence to ask questions to bring clarity, share ideas and challenge the norm.

• Passion for continuous learning and teaching to help learn & teach new technologies & implementation strategies

• Experience working with complex stakeholders; dissecting vague asks and helping to define tangible requirements

• Ability to manage multiple projects and time constraints simultaneously in a high trust remote environment

• Ability to wear multiple hats depending on the project with the focus on accomplishing end goals while inspiring colleagues to do the same

• Excellent written and verbal communication skills (especially with senior level stakeholders) with the ability to speak to both the business value, data products, & technical capabilities of a platform.  Ability to create clear and concise documentations with a high degree of precision

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 now building services and agentic tools that provide AI coding agents and end users with deeper context about codebases. Our code retrieval service already delivers meaningful improvements in agent speed and task performance, and we aim to push this further – extracting richer insights than snippets alone at the scale of several hundred thousand repositories. 

We are looking for an AI Engineer who can design and implement agentic tools from scratch, bring them to the end users, and make coding with agents smarter, faster, and more reliable.

In this role, you will:

• Translate product needs into agentic tools and services and ship them to production.
• Scale prototypes to large numbers of users.
• Improve and test our semantic search service.
• Build evaluation pipelines for code retrieval and coding task performance.

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

• At least five years of hands-on NLP experience.
• Experience in information retrieval systems.
• Strong experience in LLM prompt and tool engineering, as well as with AI agents.
• Solid programming skills in Python and/or Kotlin (and the willingness to learn the language you’re unfamiliar with).
• Experience building and operating production-grade software systems.

We’d be especially thrilled if you have:

• Experience developing in Kotlin or Java.
• Previously worked with code intelligence (e.g. AST, symbol graphs).

#LI-DNI

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.

At Optiver, we pride ourselves on being real Engineers, not just coders. Our Engineers work closely with Traders to identify the business problems we face and determine how they should be solved. We apply a disciplined and scientific approach to engineer simple, well-architected solutions that meet the dynamic needs of our traders. Our passion is to solve problems which really matter to the business, and we take great pride in the quality of our solutions. 

What you'll do
Hardware Engineers at Optiver build hardware-based trading systems ranging from low latency algorithms to high bandwidth computation. They are responsible for owning all aspects of the development process – from ideation to implementation, creating bespoke solutions to our complex trading problems. Their systems have little room for failure which add to the stability of the market, not detract from it. Working in close collaboration with Software Engineers and Traders, Hardware Engineers deeply understand our trading problems and create dynamic, well-architected systems that make an impact in a matter of days and weeks rather than months and years.

Who you are

• Master’s degree in CE, EE, CS, or related technical field
• Experience designing, coding, testing, and verifying FPGAs and/or ASICs
• Experience coding in VHDL, Verilog, SystemVerilog (C or C++ is a plus)
• Experience with RTL synthesis, writing timing, area, and other relevant constraints
• Experience with digital simulators and self-checking test benches.
• Experience supporting post-silicon bring-up and debugging a plus
• Ability to work closely with software developers to rapidly deliver integrated systems

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

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

In addition, you’ll receive:

• A performance-based bonus structure, enabling all of our employees to benefit from our global profit pool.
• The opportunity to work alongside best-in-class professionals from over 50 different countries.
• 25 paid vacation days in your first year, increasing to 30 from your second year onwards.
• Training opportunities, discounts on health insurance, and fully paid first-class commuting expenses.
• Extensive office perks, including breakfast, lunch and dinner, world-class barista coffee, in-house physio and chair massages, organized sports and leisure activities, and Friday afternoon drinks.
• Training and continuous learning opportunities, including access to conferences and tech events.
• Competitive relocation packages and visa sponsorship where necessary for expats.

How to apply
Apply directly via the form below. If you have any questions feel free to contact our Recruitment team via our recruitment inquiry form.

Please note:

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

Diversity statement
Optiver is committed to diversity and inclusion.

We’re looking for a Test and Automation Engineer to join our hardware R&D team building long-range HF communication systems. You’ll build and scale the systems that validate and operate our hardware across both development and production, working across test automation, lab infrastructure, and hardware coordination. In this role, you’ll own how hardware is exercised end-to-end, ensuring reliable and repeatable performance in demanding environments.

What you'll do 

As a Test and Automation Engineer, your key responsibilities include:

• Designing, developing, and maintaining automated test frameworks for hardware validation and production testing

• Building and maintaining automation for hardware coordination and state control; managing transitions between operational states and integrating with monitoring systems, safety interlocks, and protection mechanisms

• Developing Python-based tooling and test suites to exercise hardware interfaces, including Ethernet, SPI/I2C/Serial, Modbus, SCPI, and custom protocols

• Implementing and maintaining communication with industrial peripherals and test equipment

• Automating lab instrumentation, including oscilloscopes, spectrum analyzers, VNAs, and cable/component testers

• Creating and managing CI/CD pipelines that integrate hardware test results into the broader build and release workflow

• Instrumenting and monitoring test and production infrastructure by collecting metrics, generating reports, and tracking hardware test coverage over time

• Collaborating closely with hardware, RF, and infrastructure engineers to improve system reliability, observability, and testability

Who you are

• Experienced in hardware test automation, production/manufacturing automation, or embedded systems validation

• Strong in Python, with a focus on building clean, maintainable, and scalable automation frameworks

• Hands-on experience communicating with and coordinating industrial devices and peripherals

• Familiar with Ethernet-based systems and protocols (TCP/UDP sockets, network configuration, packet capture/analysis)

• Experienced in automating lab instruments using SCPI, VISA, or vendor-specific APIs

• Comfortable working in Linux environments, including command-line tooling, shell scripting, and service management

• Able to take ownership of systems end-to-end and operate effectively in a highly collaborative, fast-paced environment

Nice to Have

• Experience with RF systems, SDR, or HF communication systems

• Familiarity with Protocol Buffers or similar serialization frameworks

• Experience with CI/CD systems such as Jenkins or Bamboo for hardware-integrated pipelines

• Understanding of network infrastructure concepts such as VLANs, DHCP, PXE/TFTP boot, and SSH tunneling

Who we are

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

What you'll get

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

In addition, you’ll receive:

• A performance-based bonus structure unmatched anywhere in the industry. We combine our profits across desks, teams and offices into a global profit pool.
• The opportunity to work alongside best-in-class professionals from over 50 different countries.
• 25 paid vacation days in your first year, increasing to 30 from your second year onwards.
• Training opportunities, discounts on health insurance, and fully paid first-class commuting expenses.
• Extensive office perks, including breakfast, lunch and dinner, world-class barista coffee, in-house physio and chair massages, organized sports and leisure activities, and Friday afternoon drinks.
• Training and continuous learning opportunities, including access to conferences and tech events.
• Competitive relocation packages and visa sponsorship where necessary for expats.

How to apply

Apply directly via the form below. If you have any questions feel free to contact our Recruitment team via our recruitment inquiry form.

Please note:

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

Diversity statement

Optiver is committed to diversity and inclusion.

Job Title: Hardware Design Engineer

Reports to: Director of Hardware Engineering

Department: Engineering

💼 About the role

We’re seeking an experienced hardware design engineer to expand our cryptographic hardware IP team. You would be joining a mature design team with a proven track record of delivering market leading cryptographic IP, your role would expose you to the latest cryptographic standards and allow you to develop for the latest technologies.

We hope that you have at least 5 years of experience working on hardware design of complex IPs targeted at deployment on latest generation FPGAs, preferably with some experience working with cryptographic and security IPs.

 We have been established since 2018, so you would be directly working with the founders and inventors of this deep tech startup. The technology is already a couple of years in the making, its feasibility having been established, funding secured, and it has a clear path to market. This is a great opportunity for career progression and to get a head start in a rapidly expanding segment of the technology industry.

⚒️ What you’ll be doing

• Design and implementation of hardware IP blocks and subsystems.
• Tailoring implementations to FPGAs
• Working with verification engineers to create verification and test plans.
• Creation of reliable, reusable and excellently structured hardware design flows.
• Providing feedback to architects on feasibility of implementation and specification quality.
• Ensuring clean lint and implementation reports for IP blocks and subsystems.

🎯 Required Skills And Qualifications

• A commitment to high quality engineering in all areas of their work, including advocating for the best long-term solutions over the easiest or quickest.
• Optimising designs for both area and performance in FPGA technologies.  
• Experience building hardware IP blocks from scratch, and owning the process from initial specification through to customer delivery.
• Confidence bringing up a design using a basic “designers testbench”.
• Experience with standard commercial EDA Design tooling flows.
• Knowledge of common bus protocols (e.g. AMBA AXI4, AHB).
• Experience building and simulating hardware/software co-designs.
• Confidence in debugging RTL simulations issues.
• Degree or equivalent in Electronics/Computer Science or other related discipline.

🖥️ Specific Technologies You Are Confident Using

• FPGA and emulation experience. We use Xilinx FPGAs extensively for prototyping and hardware/firmware co-development.
• Logical IP design using SystemVerilog.
• Version control using Git.
• Writing System and subsystem level tests in C, using CMake as a build system.
• Confidence using tools like Bash, TCL, CMake and Makefiles safely and sensibly.

👍 Preferred Skills And Qualifications

• Python scripting for flows and automation 
• Experience debugging gate level simulations.
• Knowledge of Industry standard SoC Security Architectures
• Knowledge of tamper resistance and/or power side-channel security countermeasures.
• Experience using Gitlab CI, or otherwise principles of continuous integration and testing.

🏆 Some of the perks of working with us:

• Unparalleled opportunities to learn and accelerated career development.
• A collaborative, team environment with people who truly love what they do.
• Competitive salary and share option scheme.
• Flexible and hybrid working, and a working from home budget.
• Private health insurance for yourself and your family.
• 25 days annual leave (plus bank holidays and two wellness weeks).
• 50% gym membership discount.
• The chance to work with a spirited, smart, and friendly team!

Interested? Apply today to be part of the future of secure hardware! 🚀

About the Role

We’re looking for a Junior Security Operations Engineer who is AI-Forward to help scale and modernize our SecOps program. This is a hands-on, builder role for someone who will design and ship the security tooling that powers our triage, investigations, and response workflows.

You’ll report to the Technical Operations Director and work alongside our GRC lead to improve our vulnerability intake, threat response, darkweb posture, and internal security tooling. A core part of this role is building AI-assisted security tooling: triage agents that pre-classify bug bounty reports, investigation copilots that pull context from logs and SIEM data, response workflows that draft remediation steps and track them to closure. You’ll spend as much time wiring up that tooling as you will reproducing vulnerabilities and working incidents.

This role suits someone who thrives in a lean, high-impact environment, has strong opinions on where humans add value versus where tooling should take over, and wants to shape how a modern security team operates.

What You’ll Do

Triage & Vulnerability Management

• Review incoming vulnerability reports from our bug bounty intake; reproduce and document valid issues for engineering teams.
• Build the tooling that improves signal-to-noise: automate duplicate detection, spam filtering, and abuse flagging so humans only touch what’s worth touching.
• Act on DAST findings: coordinate remediation, verify fixes, and re-test.
• Track remediation timelines for critical vulnerabilities and keep stakeholders honest on SLAs.

Threat Response & Monitoring

• Monitor and respond to EDR and cloud security alerts; investigate, contain, and document.
• Analyze darkweb findings and credential exposures; shape our darkweb monitoring practices and tooling over time.
• Improve detection coverage: tune noisy rules, close gaps, and enrich alerts with context so responders spend time on decisions, not data gathering.
• Help configure and tune DLP, SIEM, and AI security tooling.

Security Tooling (core to this role)

• Build AI-assisted triage tooling that pre-classifies bug bounty reports, flags duplicates, and routes real issues to the right engineering team with reproduction context attached.
• Build investigation tooling: LLM-backed copilots and Slack bots that pull alert context, correlate signals across sources, and surface what actually matters.
• Build response tooling: workflows that draft remediation steps, generate evidence artifacts, and track issues to closure across the teams that own them.
• Evaluate emerging AI security tooling and bring what’s genuinely useful into the stack; retire what isn’t.
• Apply a security-minded lens to our own AI usage: prompt injection, data exfiltration, model misuse, and the guardrails that go around them.

Compliance & Cross-Functional

• Support audit evidence collection for SOC 2, ISO 27001, and PCI DSS.
• Partner with ITOps to verify patches, endpoint coverage, and access hygiene.

You May Be a Good Fit If You Have

• Previous experience in a SecOps, Security Analyst, or Threat Response role.
• Proven ability to understand and reproduce technical vulnerabilities. You can read a bug report and tell whether it’s real.
• Experience with bug bounty triage (HackerOne, Bugcrowd, or similar).
• Hands-on exposure to SIEM, EDR, and DLP tools in production environments.
• A genuine, demonstrated interest in applying AI/LLMs to security work: side projects, internal tooling, prompt engineering, agent frameworks, anything that shows you’ve actually built with this stuff.
• Scripting and automation skills in Python, Bash, or similar. You reach for code before you reach for a checklist.
• Comfort working autonomously across time zones and asynchronously.
• Strong written communication. You can turn a messy investigation into a clear, defensible writeup.

Bonus Points For

• Experience building LLM agents, RAG pipelines, or Slack bots backed by OpenAI / Anthropic / open-source models.
• Detection engineering experience (Sigma rules, custom Falcon queries, Grafana/Loki dashboards).
• Cloud security depth in AWS or GCP (IAM, workload posture, cloud-native logging).
• Prior work in regulated environments (SOC 2, ISO 27001, PCI DSS) from the practitioner side.
• Exposure to AI/ML security concerns such as prompt injection, model evals, and data leakage through LLMs.
• Public contributions: blog posts, CVEs, open-source tools, CTF writeups.

Engagement & Logistics

• Full-time contract.
• Remote-first and async-friendly. We have hubs in San Francisco, Denver, Dublin, and Amsterdam. If you’re near one, we’d love to see you in the office regularly; if you’re elsewhere in the world, that works too.
• Potential to extend or convert based on fit.
• Reports to the Technical Operations Director; works closely with the GRC lead and IT Operations.

How We Work

We’re a lean, high-trust team. We value people who ship, who can operate independently, and who treat security as an engineering problem rather than a checklist. If you’re someone who sees a repetitive task and immediately thinks “this should be a script, or better yet, an agent,” you’ll fit in here.

To Apply

Tell us about a time you used AI, automation, or custom tooling to meaningfully change how a security workflow ran. What was manual before, what it looked like after, and what you learned. Links to code, writeups, or demos are welcome.

Why Engineering at Dataiku?

Dataiku’s on-premise, cloud, or SaaS-deployed platform connects many data science technologies, and our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product. From the latest LLMs to our dedication to open source communities, you'll work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. You can find out even more about working in Engineering at Dataiku by taking a look here.

Here are some useful links so you preview what we do at Dataiku: Dataiku's Key Capabilities ; Dataiku's Github, you can also take a look at the Gallery, a public instance showcasing some example projects (note editing is very limited and will be regularly reset). 

Our product is called Dataiku DSS which stands for Dataiku Data Science Studio. If you’d like to know more about it, you can watch the demo here or try the free version here.

How you’ll make an impact

This position is either onsite/hybrid from our Berlin office or full remote from any part of Germany.

As a Fullstack Engineer, you’ll contribute to building Dataiku DSS core features by joining one of the following themes:

• Data Preparation: Develop tools for data integration, transformation, and cataloging, as well as Jupyter notebooks, SQL workbenches, and APIs.
  • Add new capabilities for data integration, transformation, and visualization using LLMs
  • Optimize workflows for large-scale datasets and improve database support
  • Strengthen developer tools like Jupyter notebooks and SQL workbenches
  • Tech stack: Java, Python, AngularJS, Angular

• AI & Machine Learning: Collaborate on next-gen AI features, from statistics and time series forecasting to LLM inference.
  • Build next-generation features like cross-provider LLM APIs or integration with the latest Machine Learning models
  • Collaborate with research teams on innovative machine learning experiments
  • Tech stack: Python, scikit-learn, TensorFlow, PyTorch, Java, Angular, AngularJS

• Data Consumption: build the experience that makes data accessible and actionable for everyone.
  • Enhance our collaborative Workspaces to organize and explore charts, dashboards, datasets and more
  • Create innovative interfaces that answer business questions and surface relevant insights using LLMs
  • Tech stack: Angular, AngularJS, Java, Python

• Data Visualization: elevate our data visualization capabilities with high-performance charting tools and dashboards.
  • Develop new chart types and optimize visualization performance
  • Enhance dash boarding capabilities to deliver fast and flexible experiences
  • Tech stack: React, AngularJS, Angular, D3.js, ECharts, Node.js, Java, Spring
    
    
• MLOps: Develop back-end capabilities for automating and monitoring ML model lifecycles while supporting cross-functional collaboration.
  • Build tools to automate retraining, monitoring, and deployment of ML models
  • Enhance collaboration features for ML stakeholders
  • Tech stack: Python, Java, Angular, Angular.JS, Kubernetes, Docker
    
    
• Platform: Focus on scaling and securing the platform while improving cloud integrations and supporting a wide array of data sources and engines.
  • Optimize processing engines for scalability and latency
  • Expand capabilities to support new databases and cloud platforms
  • Tech stack: Java, Python, Angular, Kubernetes, Spark, AWS, Azure, GCP
    
    
• AI Governance: Build features for AI compliance, connecting disparate systems and simplifying governance processes.
  • Develop customizable platforms for managing AI compliance and governance
  • Simplify policy enforcement and integration across disparate systems
  • Tech stack: Java, Angular, PostgreSQL

What you need to be successful 

• We’re stack agnostic, so all you need is a significant experience in software engineering,  building a real product
• We’re hiring at all levels (junior, mid, senior)
• A passion for combining backend performance with exceptional frontend user experience.
• You want to work in a fast-paced, high-growth environment that values diversity of talent, excellence of product, and exciting engineering challenges at scale

What does the hiring process look like?

• Initial call with a member of our Technical Recruiting team (45min)
• Video call with an Engineering Team Lead (1h30)
• Technical Assessment to show your skills (Home Test or Live Coding)
• Final Interviews with our VPs of Engineering (2h)   #LI-Remote

Why Engineering at Dataiku?

Dataiku’s on-premise, cloud, or SaaS-deployed platform connects many data science technologies, and our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product. From the latest LLMs to our dedication to open source communities, you'll work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. You can find out even more about working in Engineering at Dataiku by taking a look here.

Here are some useful links so you preview what we do at Dataiku: Dataiku's Key Capabilities ; Dataiku's Github, you can also take a look at the Gallery, a public instance showcasing some example projects (note editing is very limited and will be regularly reset). 

Our product is called Dataiku DSS which stands for Dataiku Data Science Studio. If you’d like to know more about it, you can watch the demo here or try the free version here.

How you’ll make an impact

This position is either onsite/hybrid from our Amsterdam office or full remote from any part of Netherlands.

As a Fullstack Engineer, you’ll contribute to building Dataiku DSS core features by joining one of the following themes:

• Data Preparation: Develop tools for data integration, transformation, and cataloging, as well as Jupyter notebooks, SQL workbenches, and APIs.
  • Add new capabilities for data integration, transformation, and visualization using LLMs
  • Optimize workflows for large-scale datasets and improve database support
  • Strengthen developer tools like Jupyter notebooks and SQL workbenches
  • Tech stack: Java, Python, AngularJS, Angular

• AI & Machine Learning: Collaborate on next-gen AI features, from statistics and time series forecasting to LLM inference.
• Build next-generation features like cross-provider LLM APIs or integration with the latest Machine Learning models
• Collaborate with research teams on innovative machine learning experiments
• Tech stack: Python, scikit-learn, TensorFlow, PyTorch, Java, Angular, AngularJS

• Data Consumption: build the experience that makes data accessible and actionable for everyone.
  • Enhance our collaborative Workspaces to organize and explore charts, dashboards, datasets and more
  • Create innovative interfaces that answer business questions and surface relevant insights using LLMs
  • Tech stack: Angular, AngularJS, Java, Python

• Data Visualization: elevate our data visualization capabilities with high-performance charting tools and dashboards.
  • Develop new chart types and optimize visualization performance
  • Enhance dash boarding capabilities to deliver fast and flexible experiences
  • Tech stack: React, AngularJS, Angular, D3.js, ECharts, Node.js, Java, Spring

• MLOps: Develop back-end capabilities for automating and monitoring ML model lifecycles while supporting cross-functional collaboration.
• Build tools to automate retraining, monitoring, and deployment of ML models
• Enhance collaboration features for ML stakeholders
• Tech stack: Python, Java, Angular, Angular.JS, Kubernetes, Docker
  
  
• Platform: Focus on scaling and securing the platform while improving cloud integrations and supporting a wide array of data sources and engines.
• Optimize processing engines for scalability and latency
• Expand capabilities to support new databases and cloud platforms
• Tech stack: Java, Python, Angular, Kubernetes, Spark, AWS, Azure, GCP
  
  
• AI Governance: Build features for AI compliance, connecting disparate systems and simplifying governance processes.
• Develop customizable platforms for managing AI compliance and governance
• Simplify policy enforcement and integration across disparate systems
• Tech stack: Java, Angular, PostgreSQL

What you need to be successful 

• We’re stack agnostic, so all you need is a significant experience in software engineering,  building a real product
• We’re hiring at all levels (junior, mid, senior)
• A passion for combining backend performance with exceptional frontend user experience.
• You want to work in a fast-paced, high-growth environment that values diversity of talent, excellence of product, and exciting engineering challenges at scale

What does the hiring process look like?

• Initial call with a member of our Technical Recruiting team (45 min)
• Video call with an Engineering Team Lead (1h30)
• Technical Assessment to show your skills (Home Test or Live Coding)
• Final Interviews with our VPs of Engineering (2h)   #LI-Remote

What to know about the Dataiku Support Team

At Dataiku, the Support organization is a fully remote team focused on enabling our customers and helping them work through any technical issues or questions related to our Everyday AI Platform (DSS). We are a rapidly scaling and globally distributed team, with members spanning 10+ countries and across 3 major continents. Our focus is to take our growth to the next stage by building out an enterprise-grade global support function. 

How you’ll make an impact 

We are looking for an experienced technical support engineer who is comfortable working in a complex and dynamic environment and who can help contribute to the growth of our global support function as we continue to scale up our operations. As a Technical Support Engineer, you will help our EMEA and global customers solve their wide range of technical issues with Dataiku, such as installation, security, and integration with other big data technologies. You will also collaborate with various internal teams to solve and escalate customer issues as needed.

Some expected outcomes for this role 

• Help EMEA and global customers solve their technical issues with Dataiku through a variety of communication channels

• Communicate with our R&D team to solve complex issues and/or share feedback from our EMEA customers for future product improvement

• Work with other customer-facing teams when escalating or rerouting issues to help ensure a proper and efficient / timely resolution

• Document knowledge in the form of technical articles and contribute to knowledge bases or forums within specific areas of expertise

• Occasionally wear multiple hats and help out with other activities in a fast-paced and dynamic startup team environment

What you’ll need to be successful 

• At least 3 years of experience in a client-facing engineering or technical role, ideally involving a complex and rapidly evolving software/product

• Experience with cloud platforms such as AWS, Azure, and GCP

• Experience with Docker and Kubernetes

• Collaborative and helpful mindset with a focus on always working as a team

• A strong competency in technical problem solving with demonstrated experience performing advanced log analysis, debugging, and reproducing errors

• Proficiency working with Unix-based operating systems

• Experience with relational databases (or data warehouses like Snowflake) and SQL

• Ability to read and write Python or R code

What will make you stand out

• Experience with big data technologies, such as Hadoop or Spark 

• Experience with authentication and authorization systems such as LDAP, SAML, and Kerberos

• Experience with ML models and LLMs

What does the hiring process look like? #LI-Remote #LI-AN1

• Initial call with a member of our Technical Recruiting team

• Video call with the Technical Support Manager

• Technical Assessment to show your skills (Home Test)

• A technical interview with the TSE team to build on the assessment you completed

• Final Interview with the VP Technical Support

Tech Stack & Focus Areas

Core: C#, .NET 10

Cloud & Orchestration: Kubernetes, Helm, Docker, Azure

AI Development: Claude Code (primary), prompt engineering, AI agents & agentic workflows, LLM API integration (Anthropic, Azure OpenAI, OpenAI)

Architecture: Event-driven systems, Microservices, SOLID, platform-oriented reusable component design

Performance: Multithreading, concurrency, high-throughput distributed systems

Security: Encryption, zero-trust principles, secure coding

Quality: Unit testing, integration testing, CI/CD pipelines, automated quality tooling, intelligent observability/monitoring

Who We Are

We're an energetic and technically minded team of software builders based in Alkmaar, operating under the belief that AI-First is AI-Proof. We care deeply about engineering quality, craftsmanship, and building products that matter — and we're using AI to do it faster and better than ever before.

Our culture is grounded in three pillars: competence, craftsmanship, and trustworthiness. We work in a social, international, and inclusive environment where your ideas shape our technology. Our office is easy to reach, our culture is collaborative, and we value healthy work/life balance.

We offer competitive pay, strong benefits, and the chance to work on meaningful systems used by some of the world's largest financial institutions.

So, what’s the role all about?

We build advanced Financial Market Compliance solutions that help global banks detect, prevent, and investigate financial fraud.

We are mid-transformation — moving from individual products into a unified, AI-native compliance platform. This platform is designed to be shared, modular, and built to scale across every product line we support.

The AI features we're actively building include false-positive elimination, automated investigation workflows, and advanced compliance search — capabilities that were previously intractable and are now unlocked by AI. Engineers joining now will be core contributors to this platform from the ground up.

How will you make an impact?  

• Contribute to building our new horizontal compliance platform — designing shared components and plug-and-play modules used across every product
• Work in a cross-functional team alongside engineers, QA, architects, and product owners, spanning foundational, data engineering, and application layers of the
• Write clean, maintainable, well-tested code using Claude Code as your primary AI development tool — accelerating your output while maintaining full ownership and quality standards over everything you ship.
• Build and work with AI agents to automate development workflows, eliminate toil, and unlock capabilities that previously required manual effort.
• Design APIs, microservices, and data flows for large-scale distributed
• Share what you learn — internal tech talks, documentation, and mentoring peers across platform layers are first-class contributions here.
• Own the full lifecycle of the components you build:

Have you got what it takes?

Bachelor or Master’s degree in Computer Science (or equivalent practical experience)

• Bachelor or Master's degree in Computer Science (or equivalent practical experience)
• 4+ years of professional software engineering experience
• Strong C# / .NET development background
• Hands-on daily use of AI coding assistants (e.g. GitHub Copilot, Cursor, or Claude Code) as a core part of your development workflow — not just occasional use
• Ability to critically evaluate, verify, and improve AI-generated code — you own what gets committed, regardless of how it was produced
• Working knowledge of prompt engineering for development tasks: writing effective prompts for code generation, refactoring, test writing, and documentation
• Solid understanding of design patterns (DDD, SOLID), clean code, maintainability, and modern development practices
• Experience building distributed, cloud-native, or microservices systems
• Familiarity with Kubernetes, Helm, Docker, and cloud infrastructure (Azure)
• Understanding of multithreading, concurrency, and performance optimization
• Knowledge of secure coding, encryption, and application security
• Good English communication skills — direct, clear, and collaborative
• A positive team mindset and passion for building great software
• Collaborate through Git-based workflows, code reviews, and continuous integration practices

You will have an advantage if you also have:

• Experience with event-driven architectures (RabbitMQ, Kafka, Azure Service Bus)
• Cloud-native observability (OpenTelemetry, Prometheus, Grafana)
• Integration of LLM APIs (Azure OpenAI, Anthropic, OpenAI) into production systems
• Experience designing or working with AI agents and agentic automation workflows
• Experience evaluating and rolling out AI developer tooling across an engineering team

Our Recruitment Workflow

1. Intro conversation (preferably in person, or via Teams)
2. Technical assessment with a light technical questionnaire to confirm readiness, followed by a hands-on assessment in which you'll build a small application on the You're encouraged to use AI tools during the assessment — we're interested in how you work with AI, not without it.
3. Final conversation with senior leadership, followed by discussion of terms

What’s in it for you?

Learn more about the Benefits at NICE

Join an ever-growing, market-disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr!

Enjoy NICE-FLEX!

At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

#LI-Hybrid

Requisition ID: 10457
Reporting into: Group Lead

Role Type: Individual Contributor

Available Locations: Netherlands

About Solutions Engineering at Cloudflare

The Pre-Sales Solution Engineering organization owns the technical sale of the Cloudflare solution portfolio, ensuring maximal business value, fit-for-purpose solution design and adoption roadmap for our customers. Solutions Engineering is made up of individuals from a wide range of backgrounds - from Financial Consulting to Product Management, Customer Support to Software Engineering, and we are serious about building a diverse, experienced and curious team. 

Solutions Engineers work closely with our customers and partners to educate, empower, and ensure their success delivering Cloudflare security, reliability and performance solutions. 

What you'll do as a Solutions Engineer

This is a Solutions Engineer role with a focus on the broader technology ecosystem that carry Cloudflare solutions to market across Benelux. Your role will be to build champions and enable technical teams alongside our Benelux sales organisation to drive pipeline and close deals.

As the technical advocate inside Cloudflare, you will work closely with teams across Sales, Product, Engineering, Customer Support and our channel partners to ensure our customers succeed with Cloudflare security, reliability, and performance solutions.

You have strong experience in pre-sales, partner and account management, and excellent verbal and written communication skills in Dutch and English, suited for both technical and executive-level engagement. You are comfortable speaking about the Cloudflare vision with all audiences. Ultimately, you are passionate about technology, curious by nature, and an avid builder who is not afraid to get your hands dirty.

Specifically, we are looking for you to:

• Build and maintain long-term technical relationships with prospects, customers and ecosystem organisations across Benelux through demonstrating value, enablement, and uncovering new areas of potential revenue
• Drive technical solution design conversations through use case qualification and collaborative technical wins through demonstrations and proofs-of-concept
• Develop passionate technical champions within the technology ranks of your accounts, helping them drive sales for identified opportunities and build revenue pipeline
• Evangelize and represent Cloudflare through technical thought leadership and expertise
• Be the voice of the market internally at Cloudflare, engaging with and influencing Product and Engineering teams to meet the needs of your accounts and their customers
• Travel requirement in the Benelux to support engagements, attend conferences and industry events, and collaborate with Cloudflare teammates

Examples of Desirable Skills, Knowledge and Experience

Language & Communication

• Fluency in Dutch and English (verbal and written)
• Ability to communicate complex technical concepts to both technical and nontechnical audiences, including C-level stakeholders
• Strong presentation and storytelling skills (whiteboarding, demos, executive briefings)

PreSales Competencies

• Experience managing technical sales cycles end-to-end
• Ability to articulate business value and ROI of technical solutions, not just features
• Experience working within an integrated account team (alongside Account Executives, Customer Success, BDRs, and channel partners)

Technical Competencies

• Networking technologies including TCP/IP, UDP, DNS (authoritative and recursive, DNSSEC), IPv4/IPv6, BGP routing, Autonomous Systems, subnetting
• Tunneling and connectivity: GRE, IPsec, MPLS, SDWAN
• Cloud networking concepts: VPCs, peering, interconnect
• DDoS attack types (L3/L4/L7) and mitigation strategies
• Web Application Firewall (WAF) rule configuration and tuning
• VPN concepts and their limitations relative to Zero Trust approaches
• API security: API Gateway, rate limiting, schema validation, abuse prevention
• Bot management concepts and detection techniques
• SASE concepts and Zero Trust Networking architectures (ZTNA, CASB, SWG, DLP, RBI as integrated platform)
• Zero Trust Network Access (ZTNA) vs. traditional VPN architecture
• HTTP technologies and reverse proxy architecture: WAF, CDN, caching mechanics
• Detailed understanding of the flow from user to application, including hybrid cloud architectures
• Working knowledge of major cloud platforms: AWS, Azure, GCP (architecture patterns, native security tooling, VPC/peering models)
• Familiarity with InfrastructureasCode concepts (e.g. Terraform)
• Cloudflare Workers and the edge compute model (JavaScript/TypeScript)
• Familiarity with related primitives: KV, Object storage, serverless compute

Competitive & Industry Knowledge

• Familiarity with the competitive landscape across Cloudflare's product areas
• Understanding of why customers move from on-premises appliances to cloud-delivered security
• Awareness of relevant industry verticals: Financial Services, eCommerce, Gaming, Media, SaaS, Healthcare

Soft Skills & Behaviours

• Trusted advisor mindset: prioritizing long-term customer success over short-term convenience
• Intellectual curiosity and a habit of continuous self-directed learning
• Strong collaborative instincts: sharing knowledge, writing documentation, contributing to team resources
• Comfort with ambiguity and the ability to research, test, and synthesize answers independently
• Emotional intelligence and the ability to foster inclusive, constructive working relationships
• Growth mindset and openness to feedback

What we value

More than any specific technology, we look for intellectual curiosity, adaptability, and a collaborative spirit. On the Solutions Engineering team, you will find an environment where everyone brings different strengths and jumps in to help each other. If you are passionate about technology and look forward to helping customers and ecosystem organisations realise the full promise of Cloudflare, we'd love to hear from you.

The Opportunity

Postman is the world’s leading API platform, helping organizations across every industry collaboratively design, build, test, document, share, and manage their APIs.

Our rocket continues to reach new heights, which is why we are looking for an experienced Solutions Engineer to support our rapidly growing enterprise customer base in the Benelux region.

As a Solutions Engineer at Postman, you will partner closely with the Sales, Product, and Customer Success teams to deliver technical expertise throughout the sales cycle. You will be a trusted advisor to our customers, helping them understand how Postman’s platform can streamline their API lifecycle, improve collaboration, and drive innovation. You will play a critical role in shaping customers’ API strategies, influencing product adoption, and ensuring technical success.

If you are passionate about APIs, software development, and solving complex customer challenges, we would love to have you on the team!

What You’ll Do

Account Strategy

• Lead technical discovery sessions to uncover customer challenges, understand pain points, and determine where Postman can provide the most value.
• Build and nurture strong relationships with technical leaders and decision-makers. Provide guidance on best practices for leveraging Postman effectively throughout the entire API lifecycle.
• Collaborate with customers to set clear success criteria, design and deliver tailored proofs of concept, and bring those goals to life through engaging demos, workshops, and hands-on sessions that highlight Postman’s strengths.
• Work closely with Sales, Product, and Customer Success teams to ensure alignment across plans and execution, driving outcomes that support customer goals.

Customer and Industry Insights

• Maintain a deep understanding of Postman’s capabilities, the API ecosystem, and industry trends (e.g., AI in API design, DevOps, and API security).
• Collect and share customer insights with Product and Engineering teams to influence roadmap decisions and enhance overall customer experience.

Marketing and Evangelism

• Represent Postman at industry events, conferences, and webinars. Create and share technical content (blogs, demos, tutorials) that highlight real-world use cases and best practices, showcasing Postman’s impact in the world of APIs and beyond.

About You

We recognize that every candidate brings a unique set of experiences and strengths. The following requirements are meant as a guideline. If you believe you can make an impact in this role, we encourage you to apply even if your background does not match every qualification listed below.

• 2+ years of experience in technical consulting, pre-sales engineering, or related roles.
• 5+ years of experience in software engineering.
• Expertise in one or more of the following:
• REST and GraphQL APIs
• API lifecycle management tools (e.g., Postman, Swagger/OpenAPI, Kong, Apigee)
• CI/CD and automation
• Cloud platforms (AWS, Azure, GCP)
• Modern software development practices
• Excellent communication skills in English, with comfort in customer-facing presentations. Communication skills in Dutch are a plus.
• Ability to travel up to 25% across the EMEA region, with occasional global travel for company events.

Position Overview: 
As a Software Engineer II, you'll take on a hands-on technical role in building and evolving our Third Party Risk Management (SaaS) platform using Laravel (PHP). You design and deliver scalable, maintainable backend services and APIs, and take ownership of features from implementation through deployment and monitoring. You’ll contribute meaningfully to our mission of making governance effortless for our customers, working in a team that owns its services end to end - from architecture and implementation to monitoring and continuous improvement. This role is ideal for a mid-level engineer who writes solid code, mentors others, and embraces AI-powered tools to work smarter and faster. You’ll guide junior engineers, shape architectural discussions, and help scale modern development practices, including responsible use of AI in workflows.

Key Responsibilities:

• Design, develop, and maintain features and APIs within our Laravel applications
• Own and deliver well-defined stories independently, with a clear grasp of team architecture, frameworks, and tools
• Improve application performance, scalability, and reliability
• Actively contribute to architectural discussions and technical decision-making
• Review code, uphold engineering standards, and contribute to testing and CI/CD practices
• Mentor and support junior engineers (Software Engineer I) through feedback and knowledge sharing
• Use AI tools (e.g., GitHub Copilot, ChatGPT) to improve productivity across coding, debugging, testing, and documentation while critically evaluating outputs
• Understand core LLM concepts (e.g., tokens, context length, hallucinations), recognize safe vs. unsafe use cases, and flag ethical, privacy, or cost concerns
• Identify and implement improvements that enhance developer experience and system stability
• Maintain healthy development flow by adhering to Agile processes and driving iterative enhancements

Required Experience/Skills:

• 3–5 years of professional software engineering experience in an agile, fast-paced environment
• Strong experience with PHP and Laravel, within the TALL stack (Tailwind, Alpine.js, Laravel, Livewire)
• Solid understanding of relational databases (MySQL / MariaDB), including query optimisation and data modelling
• Experience designing and building RESTful APIs and working with system integrations
• Practical experience with AWS or similar cloud platforms
• Proficiency with Git and collaborative development workflows
• Experience working with Docker or containerised environments
• Comfortable debugging production issues and working with logs, monitoring, and observability tools
• Working knowledge of frontend technologies (e.g., Vue, React, or Blade)
• Collaboration & communication: Comfortable discussing architectural decisions, documenting designs (potentially with AI assistance), and presenting technical ideas clearly.

AI & Engineering Maturity

• Practical experience using AI tools (e.g., GitHub Copilot, ChatGPT) in daily development workflows
• Ability to use AI for tasks such as debugging, test generation, documentation, and research
• Understands core AI concepts (e.g., LLM behavior, hallucinations, limitations)
• Critically evaluates and validates AI-generated outputs before applying them
• Aware of privacy, security, and data sensitivity when using AI tools
• Uses AI to improve efficiency while maintaining engineering quality and ownership

Your Work Environment

• This is an on-site / hybrid role based in Amsterdam. Candidates must already be residing in the Netherlands
• A fast-growing SaaS company where you can make a meaningful impact on both product and engineering, while earning a good salary
• A collaborative team with room for ownership, initiative, and technical growth
• An inspiring office on the 13th floor of The Social Hub in Amsterdam (including gym, restaurant, and vibrant community events)

• Refactor existing code and increase test coverage (UT and FT)
• Review the code of other members of the team

• Experience and/or desire for using AI development tools (i.e. Claude/Gemini) to complement your core C++ skills.
• It is our goal to open our server source code as a tool to the entire C++ video world, so experience with driving open source communities is a plus.

• Experience with WebRTC media pipelines

• Competitive compensation
• Paid time off
• Flexible working hours
• Hybrid work in our brand-new comfortable office
• Employer-sponsored health coverage
• Working with top industry experts in our international team

• Refactor existing code and increase test coverage (UT and FT)
• Review the code of other members of the team

• Experience and/or desire for using AI development tools (i.e. Claude/Gemini) to complement your core C++ skills.
• It is our goal to open our server source code as a tool to the entire C++ video world, so experience with driving open source communities is a plus.

• Experience with WebRTC media pipelines

• Competitive compensation
• Paid time off
• Flexible working hours
• Hybrid work in our brand-new comfortable office
• Employer-sponsored health coverage
• Working with top industry experts in our international team

• Refactor existing code and increase test coverage (UT and FT)
• Review the code of other members of the team

• Experience and/or desire for using AI development tools (i.e. Claude/Gemini) to complement your core C++ skills.
• It is our goal to open our server source code as a tool to the entire C++ video world, so experience with driving open source communities is a plus.

• Experience with WebRTC media pipelines

• Competitive compensation
• Paid time off
• Flexible working hours
• Hybrid work in our brand-new comfortable office
• Employer-sponsored health coverage
• Working with top industry experts in our international team

• Refactor existing code and increase test coverage (UT and FT)
• Review the code of other members of the team

• Experience and/or desire for using AI development tools (i.e. Claude/Gemini) to complement your core C++ skills.
• It is our goal to open our server source code as a tool to the entire C++ video world, so experience with driving open source communities is a plus.

• Experience with WebRTC media pipelines

• Competitive compensation
• Paid time off
• Flexible working hours
• Hybrid work in our brand-new comfortable office
• Employer-sponsored health coverage
• Working with top industry experts in our international team

• Refactor existing code and increase test coverage (UT and FT)
• Review the code of other members of the team

• Experience and/or desire for using AI development tools (i.e. Claude/Gemini) to complement your core C++ skills.
• It is our goal to open our server source code as a tool to the entire C++ video world, so experience with driving open source communities is a plus.

• Experience with WebRTC media pipelines

• Competitive compensation
• Paid time off
• Flexible working hours
• Hybrid work in our brand-new comfortable office
• Employer-sponsored health coverage
• Working with top industry experts in our international team

• Refactor existing code and increase test coverage (UT and FT)
• Review the code of other members of the team

• Experience and/or desire for using AI development tools (i.e. Claude/Gemini) to complement your core C++ skills.
• It is our goal to open our server source code as a tool to the entire C++ video world, so experience with driving open source communities is a plus.

• Experience with WebRTC media pipelines

• Competitive compensation
• Paid time off
• Flexible working hours
• Hybrid work in our brand-new comfortable office
• Employer-sponsored health coverage
• Working with top industry experts in our international team

About the Team

Our team is responsible for a large part of the server-side development — camera integration and support. We work with a wide variety of camera manufacturers, each using different protocols (IP-based, TCP/UDP, HTTP, SOAP, ONVIF, and various proprietary text and binary protocols).

The integration team investigates and supports these protocols, often performing reverse engineering. A significant part of the work involves debugging issues on local and remote devices using tools like Wireshark.

Our software runs on a wide range of hardware and operating systems. We build efficient, portable solutions using modern C++ (C++20/23), along with CMake, Conan, and Git.

What You’ll Be Doing

• Examine various camera APIs and develop plugins for different vendors
• Add support for new cameras and devices (NVRs, DVRs, intercoms, IP speakers, etc.)
• Implement support for new camera features and capabilities
• Maintain and improve camera support on the server side
• Collaborate with the core server team to enhance camera-server interaction
• Investigate Wireshark logs and server logs to diagnose and resolve issues reported by technical support
• Troubleshoot complex problems, including server crashes and device-specific issues
• Interact with device manufacturers to improve and stabilize integrations
• Refactor existing code and increase unit and functional test coverage
• Participate in code reviews
• Assist the Support team in analyzing complex field issues

Domain / Areas of Work

Each integration typically involves working across multiple protocols and includes:

• Camera discovery
• Capability detection
• Configuration management
• Device control
• Media stream handling
• Video analytics data processing

Camera Features You’ll Work With

• Audio/video sources and encoders
• PTZ (pan-tilt-zoom)
• Advanced hardware features (wipers, heaters, etc.)
• Speakers and IO ports
• Security features (doorbells, locks, alarms)

Advanced Video Analytics

• Event detection (line crossing, loitering, etc., 50+ types)
• Object tracking and classification
• Recognition (license plates, faces, etc.)
• Analytics configuration (regions of interest, rules, etc.)

What you bring

Experience

• Experience working with large codebases and maintaining existing systems
• Strong experience in C++17/20, including multi-threaded and asynchronous programming
• Experience with Windows and Linux C++ toolchains
• Experience analyzing network traffic (e.g., Wireshark)
• Solid understanding of OOP and software design patterns
• Strong debugging and problem-solving skills
• Experience writing unit and functional tests
• Experience with web services, SOAP, and ONVIF (desirable)
• Experience with Qt 6 (desirable)

Technical Skills

• Ability to write efficient, portable C++ code in a multi-threaded environment
• Strong understanding of asynchronous programming
• Ability to work with and evolve an existing codebase
• Experience with CMake and Git
• Basic system administration skills
• Experience working with issue tracking tools (e.g., Jira)

Knowledge

• Strong knowledge of C++17/20 and STL (C++23/26 is a plus)
• Understanding of algorithms and data structures
• Knowledge of concurrent programming
• Solid understanding of memory management (low-level and high-level)
• Understanding of Windows and Linux internals
• Deep understanding of OOP and design patterns
• Strong understanding of networking fundamentals and HTTP

Nice to Have

• Cross-platform development experience (Windows/Linux, including embedded systems)
• Familiarity with Boost
• Understanding of device-level integrations and video systems
• Experience working with analytics from vendors (e.g., Uniview, Vivotek)
• Familiarity with modern AI-assisted development tools (e.g., code generation, static analysis, or developer productivity tools)

What we offer

• Competitive compensation
• Paid time off
• Flexible working hours
• Hybrid work in our brand-new comfortable office
• Employer-sponsored health coverage
• Working with top industry experts in our international team

The position is ideally a hybrid role in one of our offices located in Taipei, Taiwan; Hague, Netherlands; Burbank, CA; Walnut Creek, CA and Portland, OR; Belgrade, Serbia.

Please note: We do not accept unsolicited resumes from third-party recruiters or staffing agencies. Any unsolicited resumes sent to our employees or submitted to our careers page or job postings without a formal agreement in place will be considered property of Network Optix, and no fees will be paid in the event that candidate is hired by the company.

About the Team

Our team is responsible for a large part of the server-side development — camera integration and support. We work with a wide variety of camera manufacturers, each using different protocols (IP-based, TCP/UDP, HTTP, SOAP, ONVIF, and various proprietary text and binary protocols).

The integration team investigates and supports these protocols, often performing reverse engineering. A significant part of the work involves debugging issues on local and remote devices using tools like Wireshark.

Our software runs on a wide range of hardware and operating systems. We build efficient, portable solutions using modern C++ (C++20/23), along with CMake, Conan, and Git.

What You’ll Be Doing

• Examine various camera APIs and develop plugins for different vendors
• Add support for new cameras and devices (NVRs, DVRs, intercoms, IP speakers, etc.)
• Implement support for new camera features and capabilities
• Maintain and improve camera support on the server side
• Collaborate with the core server team to enhance camera-server interaction
• Investigate Wireshark logs and server logs to diagnose and resolve issues reported by technical support
• Troubleshoot complex problems, including server crashes and device-specific issues
• Interact with device manufacturers to improve and stabilize integrations
• Refactor existing code and increase unit and functional test coverage
• Participate in code reviews
• Assist the Support team in analyzing complex field issues

Domain / Areas of Work

Each integration typically involves working across multiple protocols and includes:

• Camera discovery
• Capability detection
• Configuration management
• Device control
• Media stream handling
• Video analytics data processing

Camera Features You’ll Work With

• Audio/video sources and encoders
• PTZ (pan-tilt-zoom)
• Advanced hardware features (wipers, heaters, etc.)
• Speakers and IO ports
• Security features (doorbells, locks, alarms)

Advanced Video Analytics

• Event detection (line crossing, loitering, etc., 50+ types)
• Object tracking and classification
• Recognition (license plates, faces, etc.)
• Analytics configuration (regions of interest, rules, etc.)

What you bring

Experience

• Experience working with large codebases and maintaining existing systems
• Strong experience in C++17/20, including multi-threaded and asynchronous programming
• Experience with Windows and Linux C++ toolchains
• Experience analyzing network traffic (e.g., Wireshark)
• Solid understanding of OOP and software design patterns
• Strong debugging and problem-solving skills
• Experience writing unit and functional tests
• Experience with web services, SOAP, and ONVIF (desirable)
• Experience with Qt 6 (desirable)

Technical Skills

• Ability to write efficient, portable C++ code in a multi-threaded environment
• Strong understanding of asynchronous programming
• Ability to work with and evolve an existing codebase
• Experience with CMake and Git
• Basic system administration skills
• Experience working with issue tracking tools (e.g., Jira)

Knowledge

• Strong knowledge of C++17/20 and STL (C++23/26 is a plus)
• Understanding of algorithms and data structures
• Knowledge of concurrent programming
• Solid understanding of memory management (low-level and high-level)
• Understanding of Windows and Linux internals
• Deep understanding of OOP and design patterns
• Strong understanding of networking fundamentals and HTTP

Nice to Have

• Cross-platform development experience (Windows/Linux, including embedded systems)
• Familiarity with Boost
• Understanding of device-level integrations and video systems
• Experience working with analytics from vendors (e.g., Uniview, Vivotek)
• Familiarity with modern AI-assisted development tools (e.g., code generation, static analysis, or developer productivity tools)

What we offer

• Competitive compensation
• Paid time off
• Flexible working hours
• Hybrid work in our brand-new comfortable office
• Employer-sponsored health coverage
• Working with top industry experts in our international team

The position is ideally a hybrid role in one of our offices located in Taipei, Taiwan; Hague, Netherlands; Burbank, CA; Walnut Creek, CA and Portland, OR; Belgrade, Serbia.

Please note: We do not accept unsolicited resumes from third-party recruiters or staffing agencies. Any unsolicited resumes sent to our employees or submitted to our careers page or job postings without a formal agreement in place will be considered property of Network Optix, and no fees will be paid in the event that candidate is hired by the company.

About the Team

Our team is responsible for a large part of the server-side development — camera integration and support. We work with a wide variety of camera manufacturers, each using different protocols (IP-based, TCP/UDP, HTTP, SOAP, ONVIF, and various proprietary text and binary protocols).

The integration team investigates and supports these protocols, often performing reverse engineering. A significant part of the work involves debugging issues on local and remote devices using tools like Wireshark.

Our software runs on a wide range of hardware and operating systems. We build efficient, portable solutions using modern C++ (C++20/23), along with CMake, Conan, and Git.

What You’ll Be Doing

• Examine various camera APIs and develop plugins for different vendors
• Add support for new cameras and devices (NVRs, DVRs, intercoms, IP speakers, etc.)
• Implement support for new camera features and capabilities
• Maintain and improve camera support on the server side
• Collaborate with the core server team to enhance camera-server interaction
• Investigate Wireshark logs and server logs to diagnose and resolve issues reported by technical support
• Troubleshoot complex problems, including server crashes and device-specific issues
• Interact with device manufacturers to improve and stabilize integrations
• Refactor existing code and increase unit and functional test coverage
• Participate in code reviews
• Assist the Support team in analyzing complex field issues

Domain / Areas of Work

Each integration typically involves working across multiple protocols and includes:

• Camera discovery
• Capability detection
• Configuration management
• Device control
• Media stream handling
• Video analytics data processing

Camera Features You’ll Work With

• Audio/video sources and encoders
• PTZ (pan-tilt-zoom)
• Advanced hardware features (wipers, heaters, etc.)
• Speakers and IO ports
• Security features (doorbells, locks, alarms)

Advanced Video Analytics

• Event detection (line crossing, loitering, etc., 50+ types)
• Object tracking and classification
• Recognition (license plates, faces, etc.)
• Analytics configuration (regions of interest, rules, etc.)

What you bring

Experience

• Experience working with large codebases and maintaining existing systems
• Strong experience in C++17/20, including multi-threaded and asynchronous programming
• Experience with Windows and Linux C++ toolchains
• Experience analyzing network traffic (e.g., Wireshark)
• Solid understanding of OOP and software design patterns
• Strong debugging and problem-solving skills
• Experience writing unit and functional tests
• Experience with web services, SOAP, and ONVIF (desirable)
• Experience with Qt 6 (desirable)

Technical Skills

• Ability to write efficient, portable C++ code in a multi-threaded environment
• Strong understanding of asynchronous programming
• Ability to work with and evolve an existing codebase
• Experience with CMake and Git
• Basic system administration skills
• Experience working with issue tracking tools (e.g., Jira)

Knowledge

• Strong knowledge of C++17/20 and STL (C++23/26 is a plus)
• Understanding of algorithms and data structures
• Knowledge of concurrent programming
• Solid understanding of memory management (low-level and high-level)
• Understanding of Windows and Linux internals
• Deep understanding of OOP and design patterns
• Strong understanding of networking fundamentals and HTTP

Nice to Have

• Cross-platform development experience (Windows/Linux, including embedded systems)
• Familiarity with Boost
• Understanding of device-level integrations and video systems
• Experience working with analytics from vendors (e.g., Uniview, Vivotek)
• Familiarity with modern AI-assisted development tools (e.g., code generation, static analysis, or developer productivity tools)

What we offer

• Competitive compensation
• Paid time off
• Flexible working hours
• Hybrid work in our brand-new comfortable office
• Employer-sponsored health coverage
• Working with top industry experts in our international team

The position is ideally a hybrid role in one of our offices located in Taipei, Taiwan; Hague, Netherlands; Burbank, CA; Walnut Creek, CA and Portland, OR; Belgrade, Serbia.

Please note: We do not accept unsolicited resumes from third-party recruiters or staffing agencies. Any unsolicited resumes sent to our employees or submitted to our careers page or job postings without a formal agreement in place will be considered property of Network Optix, and no fees will be paid in the event that candidate is hired by the company.

About the Team

Our team is responsible for a large part of the server-side development — camera integration and support. We work with a wide variety of camera manufacturers, each using different protocols (IP-based, TCP/UDP, HTTP, SOAP, ONVIF, and various proprietary text and binary protocols).

The integration team investigates and supports these protocols, often performing reverse engineering. A significant part of the work involves debugging issues on local and remote devices using tools like Wireshark.

Our software runs on a wide range of hardware and operating systems. We build efficient, portable solutions using modern C++ (C++20/23), along with CMake, Conan, and Git.

What You’ll Be Doing

• Examine various camera APIs and develop plugins for different vendors
• Add support for new cameras and devices (NVRs, DVRs, intercoms, IP speakers, etc.)
• Implement support for new camera features and capabilities
• Maintain and improve camera support on the server side
• Collaborate with the core server team to enhance camera-server interaction
• Investigate Wireshark logs and server logs to diagnose and resolve issues reported by technical support
• Troubleshoot complex problems, including server crashes and device-specific issues
• Interact with device manufacturers to improve and stabilize integrations
• Refactor existing code and increase unit and functional test coverage
• Participate in code reviews
• Assist the Support team in analyzing complex field issues

Domain / Areas of Work

Each integration typically involves working across multiple protocols and includes:

• Camera discovery
• Capability detection
• Configuration management
• Device control
• Media stream handling
• Video analytics data processing

Camera Features You’ll Work With