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. 

About the Role

As a Senior Network Engineer at Together, you are responsible for designing, implementing, and maintaining our network infrastructure to ensure seamless connectivity and optimal performance for all user-facing services and production systems. As both a strategic planner and a hands-on engineer, you apply sound networking principles, operational discipline, and advanced automation to our network environments.

You specialize in networking systems—including routing, switching, network security, and protocols—implementing best practices for availability, reliability, and scalability. You have a keen interest in network design, optimization, and emerging technologies in HPC-based data center networking.

Outstanding problem-solving abilities and a comprehensive understanding of fundamental network theory are also critical to your success.

Responsibilities

• Design, deploy, manage and maintain global multi-vendor, multi-protocol high performance compute networks.
• Analyze data to diagnose and identify root causes to network issues to minimize downtime
• Evaluate and recommend network technologies, hardware, and software solutions.

• Participate in design reviews to ensure the proposed network architecture aligns with business needs and is optimized for performance, scalability, and reliability. 
• Manage relationships with external vendors and partners to test and verify hardware and software selections.

• Develop, and deploy systems and tools to keep all networks running reliably and efficiently
• Establish and implement industry best practices and contribute to the design of new scalable network solutions
• Ensure compliance with IT governance standards and best practices.
• Lead projects to address complex technical challenges, directly contributing to roadmaps and partner alongside the best engineers in the industry to develop world-class solutions

Requirements

• 8+ years of professional experience building, managing, and supporting large-scale hybrid data center networks (excluding enterprise networks).
• High level of proficiency with TCP/IP networking architecture and technologies such as BGP, OSPF, VXLAN, EVPN, and QoS.
• Experience developing network automation pipelines using Python, Ansible, or other languages/tools utilized in infrastructure automation.
• Proficient in using tools such as Wireshark, tcpdump, nmap, MTR, and curl to identify connectivity issues, latency problems, and network bottlenecks.
• Experience designing and supporting multi-tenant networks
• Hands-on experience deploying and supporting network devices from Cisco, Arista, Juniper, and Mellanox.
• Experience working with cloud networks such as AWS, GCP, and Azure.
• Solid experience working in and troubleshooting within a Linux environment.
• Must have either RoCE or Infiniband real work experience.

Preferred

• Experience with Docker, Kubernetes, or Slurm a plus 
• Understanding of AI training workloads and the demands they exert on networks a plus

About Together AI

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

Equal Opportunity

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

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

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

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

Job Description: Salesforce & Java Engineer

This is Adyen
Adyen provides payments, data, and financial products in a single solution for customers like Facebook, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. The people of Adyen are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.

Revenue Operations
You will be part of the Revenue Operations - Technology team. Our vision is to connect ways of working, technology, and insights to empower the business and our users to achieve our ambitious goals. The Revenue Operations team is built on two pillars: Optimization (Process), and Technology. This role sits within the Technology pillar, focusing on building and maintaining the critical infrastructure that connects our commercial and operational teams with the Adyen platform.

What you’ll do:

• Design, build, and maintain a diverse technology stack, including our global Salesforce Sales Cloud and Service Cloud platform and the Java-based middleware that connects it to the core Adyen platform.
• Work on complex technical projects from requirements analysis through to design, implementation, testing, and launch, owning the full development lifecycle.
• Develop and enhance our Salesforce environment by creating customized solutions using Apex, Lightning Web Components (LWC), and Flow.
• Build and maintain robust, scalable, and secure integrations between Salesforce and other enterprise systems using REST/SOAP APIs, gRPC, Avro and our internal Java frameworks.
• Identify and improve parts of the platform to make it more robust and scalable, including refactoring existing code and optimizing performance.
• Collaborate across teams and time zones with specialists, administrators, architects, and other engineers to design and deliver best-in-class solutions.

Who you are:

• You are an engineer with a strong background in both Salesforce development and Java development, comfortable working across both ecosystems.
• You have deep experience with the Salesforce platform, including Apex, Aura/LWC, SOQL, Flow, Javascript and declarative automation tools.
• You have strong experience in Java development, ideally including experience with frameworks like Spring Boot and building REST APIs.
• You are familiar with complex, large-scale distributed systems and have a good understanding of enterprise integration patterns and best practices.
• You have experience with event-driven architecture and technologies like gRPC and Avro.
• You enjoy working in a cross-functional team and value involving others to hear different perspectives. 
• You have an experimental mindset with a launch-fast-and-iterate mentality and a keen desire for personal and professional growth.
• You actively integrate AI tools into your engineering workflows and can critically evaluate their outputs for quality and reliability understanding where AI accelerates delivery and where human judgment remains essential.
• Experience with CI/CD pipelines, containerization (Kubernetes), and test automation is a strong plus.

Minimum qualifications:

• 8+ years of experience in the software development industry in a fast-paced tech environment, with significant hands-on experience in both Salesforce (Sales Cloud and Service Cloud) and Java;
• Bachelor’s degree in Computer Science, Information Technology or a related quantitative degree field;
• Certified Salesforce Admin & Developer;
• Full professional proficiency in English;
• This role is based out of our Amsterdam office. We are an office-first company and value in-person collaboration (3+ days in the office); we do not offer remote-only roles.

Our Diversity, Equity and Inclusion commitments
Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen.

Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application.

Whats Next?
Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Don’t be afraid to let us know if you need more flexibility.

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.

This is Adyen

Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. 

For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.

We’re looking for an engineer who is passionate about developer productivity, build systems, and automation to enhance and scale our internal development experience. In this role, you’ll help shape the future of our build and testing ecosystem, optimize build/test workflows, and drive automation that improves the day-to-day experience of engineers across Adyen.

What you’ll do

• Work on systems and tooling that enhance developer experience by improving build and test performance, reliability, and automation at scale.
• Design, maintain, and evolve the build tooling ecosystem, including, custom Linters, Static Analysis Tools, and Gradle conventions/plugins.
• Optimize CI/CD pipelines and integrate intelligent tests and build selection mechanisms to reduce feedback time and increase efficiency.
• Implement automation to detect and mitigate flaky tests, dependency regressions, and slow builds.
• Enable modular, scalable, and independent build execution across a large codebase to support multiple teams and projects.
• Collaborate with engineers across product domains to identify build pain points and deliver scalable solutions.
• Continuously monitor build health and quality metrics to identify bottlenecks and drive measurable improvements.
• Introduce tools and best practices that enhance developer productivity and workflow consistency.

Who you are

You have experience in:

• Working with build systems such as Gradle or similar, with a good understanding of build lifecycle, dependency management, and caching.
• Applying test frameworks, test impact analysis, or flakiness detection techniques.
• Designing or maintaining CI/CD pipelines (e.g., GitLab CI, Jenkins, Temporal, or similar).
• Programming in Java, Kotlin, or Python.
• Implementing developer-focused automation or tooling (e.g., internal plugins, build analyzers, or CLIs).
• Working with containerized environments (Docker, Kubernetes) and Infrastructure as Code (IaC) tools such as Terraform.

Nice to have:

• Experience with developer portals (e.g., Spotify Backstage).
• Building build analysis or observability tooling (e.g., Gradle Profiler, Develocity Build Scans).
• Experience integrating AI-assisted systems (LLMs, internal copilots) into developer workflows.
• Understanding of monorepo architectures and dependency graph management.

You are:

• Passionate about developer experience, automation, and reducing toil.
• A problem solver who enjoys improving complex systems and workflows.
• Curious, collaborative, and comfortable working across teams.

Our Diversity, Equity and Inclusion commitments 

Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen. 

Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!

What’s next?

Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility.

This role is based out of our Amsterdam office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.

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.

Who we are

At OpenUp, our mission is to make mental well-being accessible to everyone. Following a ‘high tech & high touch’ approach, we support companies, their employees, and their families with proactive and practical mental health services. Through our digital platform, clients can access 1:1 check-ins, online courses, articles, videos, group sessions, mindfulness practices, and a team of committed mental well-being experts. As we believe that mental and physical well-being are deeply connected, we have also added Lifestyle Experts to our offering, focusing on nutrition, exercise, and sleep. We offer a truly holistic approach that helps people take ownership of their health. We’re proud to work with forward-thinking organizations and are committed to raising the bar on accessible care.

OpenUp was ranked in the Top 3 on LinkedIn’s Top Startups list for 2023, 2024 & 2025 and is continuously growing. We are expanding our international teams and we are searching for like-minded talent. We are already serving 2000+ companies (e.g. Rituals, Deloitte, Decathlon, KPMG, and McDonalds), through which 600K+ employees have access to our product.

About the role

As a Senior AI Engineer at OpenUp, you will own the design, build, and evolution of our AI-powered product experiences — starting with our AI Guide, which serves 600K+ users seeking mental and physical wellbeing support.

We're moving from single-prompt to multi-agent architectures that orchestrate tools, manage memory, and hold meaningful conversations at scale. You'll focus on conversational quality, evaluation infrastructure, and user trust — knowing the difference between a demo and a production system.

• Evaluation as a first-class concern. We operate in mental health, where a bad recommendation isn't just a UX issue. You'll build pipelines that measure conversational quality, safety, and clinical appropriateness — with regression detection before every deployment.
• Model-agnostic architecture. You'll design abstraction layers that allow seamless switching between Azure OpenAI, open-source models, and future providers.
• Prompt engineering at scale. You'll design, version, test, and optimise prompts across multiple agent personas — and build tooling that makes iteration fast, measurable, and safe.

You'll collaborate closely with Product, Design, Backend Engineers, and Security to translate product intent into scalable, trustworthy AI systems.

Responsibilities

• Multi-agent architecture and orchestration: Design and build agent-based systems that go beyond rigid scripts. Implement orchestration patterns including tool usage, inter-agent communication, memory management, and context handling. Own architectural decisions about when to use single-agent vs. multi-agent approaches and how agents hand off to each other.
• Evaluation and quality infrastructure: Build and maintain evaluation pipelines that catch regressions before users do. Design golden datasets, automated evaluation rubrics, and monitoring dashboards. Establish quality gates that every prompt change and model update must pass. This is the most critical part of the role in a mental health context.
• Prompt engineering and optimization at scale: Design, version, and optimize prompts across multiple agent personas and conversation types. Build the tooling and processes that make prompt iteration systematic: A/B testing frameworks, performance benchmarks, cost analysis, and safety checks. Treat prompt engineering as a proper engineering discipline with version control, testing, and rollback.
• RAG and grounding systems: Build AI systems grounded in OpenUp content using techniques such as RAG and agentic retrieval. Ensure the AI Guide draws from verified clinical content, articles, and expert knowledge rather than generating unsupported claims. Optimize retrieval quality, relevance, and latency.
• Production AI systems: Productionize AI solutions on Azure, including monitoring, observability, and continuous improvement. Own the operational health of AI features: latency, cost, error rates, and user satisfaction metrics. Work with the platform team on deployment, scaling, and reliability.
• Model-agnostic design for data sovereignty: Contribute to architecture decisions that keep the application layer decoupled from any single model provider. Design configuration-driven model selection and data isolation patterns that enable future private cloud and on-premise deployment scenarios for enterprise customers.
• Cross-functional collaboration: Collaborate with Product and Design to align AI behavior with intended user experience. Work with clinical advisors on safety and appropriateness. Balance user experience with privacy, safety, and compliance requirements (GDPR, EU AI Act).

About you

You are curious about how technology is rapidly evolving and our place in it, and motivated by building solutions that have a real impact on people's lives. You believe that learning comes from action, iteration and feedback, and that strong user value and trust go hand in hand.

• 5+ years software engineering experience, with at least 2+ years building and shipping AI or LLM-based systems in production
• Strong background in data science or machine learning. You understand statistical evaluation, experimental design, and can reason about model performance beyond accuracy scores
• Fluent in Python. Experience with .NET is a plus (our backend stack includes .NET, SQL Server, and ReactJS)
• Hands-on experience with multi-agent or agent-based architectures: orchestration, tool calling, memory, state management
• Experience designing and operating evaluation pipelines for LLMs or conversational systems. You have opinions on how to measure conversational quality and can build the infrastructure to do it
• Experience with prompt engineering at production scale: versioning, A/B testing, regression detection, cost optimization
• Working knowledge of Azure OpenAI or similar LLM platforms (OpenAI, Anthropic, Google)
• Familiarity with embeddings, vector search, RAG, and grounding techniques
• Ability to reason about AI risks: hallucinations, failure modes, adversarial inputs, and trust concerns in sensitive domains
• Bachelor's or Master's degree in computer science, data science, machine learning, or equivalent experience
• Fluent in English

Nice to have

• Experience with open-source LLMs (Llama, Mistral, or similar) and self-hosted model deployment
• Experience working in regulated or trust-sensitive domains (healthcare, mental health, fintech)
• Background in NLP, conversational AI, or dialogue systems
• Experience with Azure AI Agent Service, Semantic Kernel, or similar orchestration frameworks
• Familiarity with fine-tuning techniques and model adaptation
• Knowledge of EU AI Act compliance requirements

What you can expect 

Joining OpenUp means being part of a fast-growing company that's doing something meaningful. You'll work with a diverse and international team. We like to have fun together with a lot of team building activities like our weekly ‘borrels’ and after work sport classes, the yearly ski-trip and our Padel tournament. Which makes our work fun, challenging and dynamic. Apart from this, we offer: 

• €1500 annual personal development budget
• ClassPass: OpenUp contributes towards your classpass membership 
• Monthly home internet/phone contribution (50EUR)
• Daily healthy and vegetarian lunch at our office.
• Regular office yoga, meditation classes or breathing exercises
• Flexible work model (hybrid and options for remote work).
• Monthly drinks and company wide summer fest and other fun activities.
• 27.5 vacation days per year.
• Free and unlimited access for you and your family to all our products, including our psychologists.

Next steps

Excited about this role at OpenUp? We love to learn more about you. Send us your application through our website and we will be in touch with you soon.

At OpenUp, everyone is welcome to apply - regardless of color, age, gender, nationality or any other label. We embrace what makes you unique and we believe that a diverse team is crucial to success. If you are ready to OpenUp, join us!

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

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.

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

About the Initiative

JetBrains is evolving beyond standalone developer tools toward a unified, AI-native platform for software development.

AI is no longer just an assistant inside the editor –  it is becoming an active participant in how software is planned, built, reviewed, and operated across teams and organizations. This shift introduces new challenges that cannot be solved at the level of individual tools alone: governance, security, cost control, observability, and coordinated work between humans and autonomous agents.

Our goal is to build a platform that enables companies to adopt AI in software development in a structured, scalable, and economically efficient manner – without locking them into closed ecosystems.

We are building the foundation that connects developer workflows, team-level collaboration, and organizational control into a single coherent system.

This platform will serve as the execution and governance layer for AI-driven development, deeply integrated with developer tools but designed to work across teams, products, and environments.

This is a long-term strategic investment for JetBrains and a key pillar of our vision for the future of software development.

The role

We are looking for a Principal Engineer (JetBrains Cloud Platform, Developer Experience) to drive large-scale improvements to the development experience across the JCP.

This role focuses on making JCP engineers faster and more productive by improving build systems, CI/CD pipelines, local development workflows, tooling infrastructure, and AI pipelines. You will own the developer experience end to end – from how engineers develop, build, and test locally to how code moves through CI and reaches production. As this is a rapidly growing platform, many workflows and processes are still maturing. You will define what a great development experience looks like and drive the organization toward it.

As part of the team, you will:

- Own and drive the strategy for developer experience improvements across the entire JCP platform.

- Optimize build systems (Gradle, Nx, and others) for faster builds, better caching, and reliable reproducibility at scale.

- Set up AI development pipelines, managing context, agents, and handoffs, and leveraging tools developed within the JCP.

- Improve CI/CD pipelines – reduce build times, increase reliability, optimize resource usage, and shorten feedback loops across TeamCity and GitHub.

- Improve containerized development workflows (Docker, Dev Containers) to ensure fast and consistent local environments.

- Identify and eliminate bottlenecks in the development cycle – from code commit to production deployment.

- Establish best practices, tooling standards, and shared infrastructure that enable all teams to move faster.

- Collaborate with platform and product teams to understand pain points and deliver high-impact improvements.

We are looking for someone who:

- Has extensive experience with build systems (Gradle, Maven, or Bazel) and a track record of optimizing them at scale.

- Has strong expertise in CI/CD systems (GitHub Actions, TeamCity, Jenkins, or similar) and knows how to ensure high performance and reliability.

- Has hands-on experience with Docker and containerized development workflows.

- Understands the full software development life cycle and can reason about developer productivity holistically.

- Is able to drive cross-team initiatives and influence engineering practices across a large organization.

- Is motivated by making other engineers more productive and removing friction from their daily work.

We'd be particularly thrilled if you:

- Have experience improving the developer experience at scale in a platform or infrastructure organization.

- Have worked on AI-driven development pipelines.

- Have expertise in build caching, remote execution, and incremental build strategies.

- Have contributed to or maintained open-source build tooling or CI/CD infrastructure.

- Enjoy digging into performance problems and turning slow, flaky processes into fast, reliable ones.

#LI-MP1

What we’re looking for

The Quality Platform team is looking for a Software Engineer passionate about software quality and test automation. We are a small team dedicated to supporting the tooling and infrastructure that help our engineering teams write, execute, and report on tests. You’ll have the opportunity to debug test automation issues with fellow engineers and build metric dashboards to help report on product quality. 

What you’ll be working on

• Creating and maintaining automation frameworks.
• Developing tools to aid in testing.
• Building and developing dashboards for reporting metrics.
• Helping engineers debug issues with test automation.
• Advising teams on test strategy.
• Collaborating with a talented team of engineers to build high-quality products.

We’d love to hear from people with

• 2-4 years of role-related experience.
• Proficient in both JavaScript and Python.
• Experience with building tools to aid in testing or development.
• Experience with SDET tools such as Selenium, Webdriver.IO, PyTest.
• Experience with logging tools and dashboarding, such as Splunk and Grafana.
• Experience with CI/CD methodologies.
• A data-driven, growth mindset in the approach to self-development and problem-solving.
• Experience with React, GitHub Actions, or AWS Timestream preferred.

SurveyMonkey believes in-person collaboration is valuable for building relationships, fostering community, and enhancing our speed and execution in problem-solving and decision-making. As such, you will be required to work from our Amsterdam office up to 1 day per week.

#LI-Hybrid

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

The JetBrains Research team explores ways to use machine learning techniques and agentic approaches to help developers and enhance software development processes. Our work aims to improve the state of ML for code by turning the latest academic advances into practical applications.

Our team is looking for an ML Engineer to participate in a variety of projects in areas such as code completion and generation, AI agents development, and test generation. Though we don’t expect the candidate to have experience in all the tasks we work on, we are looking for someone excited to take on the challenge of working in a diverse set of contexts.

In this role, you will: 

• Design and prototype machine learning solutions to improve the software development workflow.
• Apply existing open-source models or train custom ones as needed.
• Build training and evaluation pipelines that support fast iteration and ensure reproducibility.
• Stay up to date with the latest advancements in applying machine learning to source code.
• Collaborate with colleagues and provide mentorship when appropriate.

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

• Have experience designing machine learning systems from scratch.
• Have a background in natural language processing or code modeling.
• Have a proven track record of delivering machine learning projects.
• Know how to design reproducible ML experiments.
• Enjoy working on projects with high uncertainty.
• Are proficient in Python, Java, or Kotlin.
• Have hands-on experience with modern ML frameworks.

It would be nice if you: 

• Have experience applying machine learning to programming languages.
• Have hands-on experience building and improving AI agents.
• Have experience in A/B testing and general knowledge of statistics
• Have worked with large-scale data processing pipelines

#LI-KP1

At JetBrains, code is our passion. Ever since we started, back in 2000, we've been striving to make the strongest, most effective developer tools on earth. Today, AI-powered coding agents are becoming a core part of how developers write Kotlin – and we want to make sure they write it well.

The Kotlin AI Value Stream team is responsible for how AI agents understand, generate, and improve Kotlin code across all platforms: Android, Kotlin Multiplatform, server-side, web, desktop, and others. We build the evaluation infrastructure, error analysis tools, and post-training pipelines that measure and improve agent behavior on real Kotlin developer tasks.

As a Research Engineer on this team, you'll own the end-to-end loop: Analyze how agents fail on Kotlin → build evals that capture those failures → research and implement methods to fix them → measure the improvement. Your work will directly shape how millions of developers experience Kotlin through AI coding agents.

As part of our team, you will:

Build tools for agentic error analysis

• Design and implement tooling to systematically capture, classify, and analyse errors that AI coding agents make when generating Kotlin code.
• Build observability pipelines over agentic traces – mining patterns from agent sessions in JetBrains IDEs, Junie, Claude Code, Cursor, and other coding agents.

Build evaluation pipelines

• Design, implement, and maintain evaluation pipelines that measure Kotlin code generation quality across dimensions, including correctness, idiomaticity, build success, framework usage, and test coverage.
• Build simulation environments where coding agents can be measured on realistic Kotlin developer tasks – from greenfield KMP projects and Gradle dependency management to migrating Spring applications from Java to Kotlin.
• Own evaluation infrastructure: metrics, experiment tracking, automated regression checks, and reproducible benchmarking.

Research methods for improving agent and model behavior on Kotlin

• Experiment with post-training techniques (SFT, DPO, GRPO) to improve how models handle Kotlin-specific patterns, idioms, and frameworks.
• Investigate context engineering approaches: CLAUDE.md/AGENTS.md files, compiler-as-verifier feedback loops, Kotlin LSP integration, and MCP-based tooling.
• Run experiments to measure impact: A/B comparisons, benchmark suites, and before/after analyses on real codebases.
• Collaborate with model providers (Anthropic, OpenAI, and Google) to translate Kotlin-specific findings into model improvements.

Build public Kotlin benchmarks

• Design and build open-source benchmarks that measure AI coding agent performance on Kotlin tasks and eventually become the standard reference for the ecosystem.
• Create task datasets covering the breadth of Kotlin usage: the server side (Spring, Ktor), multiplatform projects (KMP), build systems (Gradle), Android, library development, and others.
• Include both mined real-world tasks and carefully designed synthetic tasks that test specific Kotlin capabilities.
• Maintain and evolve benchmarks as models improve, ensuring they remain challenging, relevant, and contamination-resistant.

We'll be happy to have you on board if you have:

• Hands-on experience building evaluation or analysis pipelines for LLMs or AI coding agents in a research or production setting.
• Strong Python engineering skills (at least three years), with the ability to write clean, maintainable code in data-heavy and ML-adjacent codebases.
• Experience with data analysis at scale: querying large datasets (SQL/Athena), building data pipelines, and performing statistical analysis of experimental results.
• The ability to own projects end to end – from identifying a problem in agent traces to designing an eval, running experiments, and shipping a fix.
• A product-aware mindset: You care about how agents are actually used by developers and can translate real failure modes into evaluation and training work.
• Familiarity with Kotlin or a strong willingness to develop deep Kotlin expertise (you'll be living in Kotlin codebases daily).

Our ideal candidate would also have experience with:

• Post-training LLMs: SFT, RLHF, DPO, GRPO – either hands-on training or designing the data and reward pipelines that feed into training.
• Modern deep learning frameworks (PyTorch) and LLM training stacks (TRL, verl, Megatron, or similar).
• AI agent development: tool-using agents, multi-step coding workflows, agentic frameworks.
• Evaluation frameworks and tools: Inspect AI, Promptfoo, LM-evaluation-harness, or custom eval pipelines.
• Experiment tracking and observability: Weights & Biases, MLflow, Langfuse, or similar.
• The Kotlin ecosystem: Android, Gradle, KMP, Spring, Ktor – with an understanding of the developer workflows that agents need to support.
• Contributing to or maintaining open-source projects, especially benchmarks or evaluation tools.

Don't check every box? That's okay – if you're excited about this work and bring strong fundamentals, we'd love to hear from you. We're happy to talk and provide the training you need to grow into the role.

Why join JetBrains? 

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

*Some benefits may vary depending on location.

#LI-DNI

Mission (Business Support Engineering)

You will build and run internal products for IMC’s Business Operations teams, including People Management, HR, Training, Recruitment, and Finance.

These products enable and scale IMC’s training and recruiting processes through reliable systems, automation, and self-serve workflows.

Your core responsibilities

As a full-stack software engineer, you will take ownership end-to-end: from requirements gathering through production delivery, balancing quality, testability, and speed of delivery. 

Responsibilities:

• Design, build, test, deploy, and maintain internal Java/Spring Boot services, supporting HR/training/recruiting/finance workflows.
• Test, build, deploy and maintain frontend applications using React / Next.js in TypeScript
• Build and operate services in AWS, including monitoring, alerting, and incident response participation (as applicable).
• Implement infrastructure as code using AWS CDK (Cloud Development Kit), including secure-by-default patterns.
• Partner with internal stakeholders (People/HR/Training/Recruitment/Finance) to gather requirements, clarify priorities, and iterate on solutions.
• Drive quality through unit tests, integration tests and performance testing
• Contribute to engineering practices: CI/CD improvements, observability, documentation, and shared platform patterns.

Skills and experience (required)

• 3+ years software engineering experience delivering production systems end-to-end (requirements => production ownership).
• Strong Java skills (typically Java 11+; align with team standards).
• Strong Spring Boot experience building APIs and services.
• Solid grasp of modern front-end frameworks – ideally React.js
• Hands-on AWS experience running services in cloud environments.
• Solid testing practices: unit, integration, and performance testing.
• Docker and Kubernetes knowledge (build, run, troubleshoot containerized workloads).
• Comfortable working in Linux environments.
• Strong troubleshooting and pragmatic problem-solving.

Nice to have

• Python experience, specifically in data pipelining and tooling.
• Infrastructure as Code experience, specifically AWS CDK (or equivalent IaC with readiness to adopt CDK) is a plus.
• Experience with internal platforms and enterprise workflow automation.
• Experience with AI automation.

We're building an AI copilot for web testing automation. It enables manual and automation QA engineers to turn their manual testing flows into production-ready automated E2E testing scripts, saving hours of manual work and coding. We are a small team with zero bureaucracy, focusing on real users. We optimize for shipping value - not hype.

About the role:

You'll own the top of the funnel: outbound, qualification, and getting leads to sit down for a conversation. Demos, onboarding, and retention are staying with the founder for now.

Phase one: Get individual Automation QAs to try the product, aiming for fast adoption and no procurement. Once we hit 20+ weekly users, we’ll move on to phase two, where we’ll shift the focus to B2B – qualified meetings with QA Leads and Engineering Managers.

Your focus in the first three months:

• Build targeted lists: Automation QAs at companies with web products and Playwright, Cypress, or Selenium in their stack.
• Run outbound sequences (LinkedIn is the baseline, but you decide the channels). A/B test weekly.
• Design qualification gates (forms and scoring) to filter leads before the founder calls.
• Reach 20+ weekly active users after month one – ICP-qualified and giving direct feedback to engineering.
• Document what works into a repeatable playbook.

Growth path:

This role expands as your strategies deliver results. Once the user pipeline works, you can take over demos and run B2B sales end to end. From there, the natural next step is Growth Lead (funnel optimization and scaling the playbook) or Account Executive (owning deal execution).

Why to join:

• You'll be building a strategy that scales the product, not filling a quota. What you create from scratch becomes the foundation.
• Your outreach turns into users who talk directly to engineering, and their feedback ships as features within days.
• AI for developer tools is a market with real pull, and QA automation is one of its sharpest pain points.
• We’re backed by JetBrains – financially secure with no reliance on external VC funding.

Who we're looking for:

You should have a high level of agency and be quant-minded – you live in funnel metrics, run experiments, and are comfortable saying "no" to leads that are a bad fit. 

The ideal candidate will:

• Have done 0-to-1 outbound for an early-stage devtool, QA tool, infrastructure product, or similar.
• Have proven cold outbound results, instead of being dependent on warm inbound.
• Be able to talk credibly about flaky tests, CI pain, and Playwright vs. Cypress. You don't need to be an engineer, but you do need domain empathy.
• Possess strong written communication skills, with the ability to craft short, sharp messages that get replies.

Nice to have:

• A QA or SDET background – you've felt the pain yourself before moving to sales or BD.
• Exposure to security/compliance objections – enough to pre-empt and route.
• Content skills – your LinkedIn posts get engagement, not just your DMs.
• Experience as one of the first 10 employees at a startup.

#LI-REMOTE 
#LI-KT1

WHO WE ARE 🌍

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

With a diverse team of 350+ people across three continents, we’re building the leading Chat Marketing platform — trusted by more than 1.5 million customers worldwide. AI is one of our top strategic priorities. We’re building intelligent, production-grade systems that power conversations at scale — and we’re just getting started.

WHO WE'RE LOOKING FOR 🌟

We’re hiring a Senior Python Engineer to help build Conversational AI inside Manychat — a production system that enables creators to manage high-volume Instagram conversations at scale. This team is solving that problem by building AI-powered experiences that help creators respond faster, convert more leads, and focus on growing their business. Your work will directly influence how conversations turn into measurable business outcomes.

This role is ideal for someone who thrives in high-load, real-world backend environments and enjoys tackling the practical challenges of production AI: reliability, latency, observability, quality control, and safe behavior at scale. You take ownership, think in systems to turn ambiguity into shipped, impactful solutions.

YOUR FUTURE TEAMMATES 👋

Meet the AI team:

We build AI systems from the ground up — not research silos, but production-ready services that power Manychat at scale. Our strong Python foundation fits naturally into a high-load, product-driven environment.

We collaborate closely with AI Experts, Product Managers, Designers — contributing to architecture, delivery, and reliability decisions that drive speed, stability, and impact.

WHAT YOU'LL DO 🚀

• Design, build, and scale AI-powered backend services embedded directly into the Manychat platform.
• Architect scalable, async Python services operating in high-load, production environments.
• Integrate LLM providers (OpenAI, Azure-hosted models, etc.) with a strong focus on reliability, latency, and cost-efficiency.
• Design and maintain internal and external APIs, ensuring scalability and resilience.
• Own features end-to-end — from discovery and technical design through production deployment, monitoring, and iteration.
• Make architectural decisions that balance speed, scalability, and long-term maintainability.
• Ensure production reliability through strong observability practices (monitoring, logging, alerting).
• Implement and maintain high-quality unit and integration test coverage.
• Contribute to CI/CD pipelines and continuously improve release processes.
• Collaborate cross-functionally with Product, Design, AI experts, and Platform teams in a Scrum environment.
• Connect engineering decisions to measurable product and business impact.

TO SHINE IN THIS ROLE 💥

You’ll need:

• 5+ years of commercial Python development in production environments.
• Strong expertise in modern Python frameworks (FastAPI preferred; Django/Flask acceptable).
• Solid experience designing and integrating APIs (including third-party services).
• Strong understanding of async programming and concurrency (AsyncIO, non-blocking I/O).
• Experience working with PostgreSQL and large datasets.
• Experience building and maintaining high-load backend systems.
• Strong testing practices (unit and integration tests; PyTest preferred).
• Experience with CI/CD pipelines and Docker.
• Strong ownership and product mindset — able to align with stakeholders and connect engineering work to business impact.

It would be great if you have:

• Experience integrating LLMs or AI/ML features into production systems.
• Understanding of AI/ML concepts applied in real-world products.
• Experience with cloud platforms (AWS, Google Cloud, Azure).
• Experience with containerization (Docker).
• Familiarity with observability tools (Grafana, Prometheus).
• Experience with Meta or TikTok APIs.
• Exposure to distributed systems architecture.

WHAT WE OFFER 🤗

We care deeply about your growth, well-being, and comfort:

• 🌍 Hybrid onboarding to start remotely and relocation support for you and your family.
• 💙 Comprehensive health insurance for you and your family.
• 📚 Professional development budget for conferences, courses, and learning resources.
• 🫶 Flexible benefits package tailored to your priorities.
• 🪴 Hybrid work and generous leave options for work-life balance.
• 🍽️ In-office perks including free meals and snacks.
• 🤝 Company-funded sports activities, annual offsites, and team-building events.

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

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

With my application, I accept the Manychat Privacy Policy.

About the Team

The Cloud Performance Engineering team is responsible for building cloud native ClickHouse Cloud Platform that will transform the OLAP space. Our team is looking for exceptional performance engineers with a proven track record of understanding the performance limits of different distributed databases and creating tools for measuring the performance and scalability of complex systems. The ideal candidate for this position is a distributed systems performance engineer with a strong background in database benchmarking, test automation, system engineering, performance analysis, and capacity management. This role is a unique opportunity to make a significant impact on our elastic, limitless scale, high-performance, server less clickHouse Cloud.

What will you do?

• Benchmark system performance, database performance analysis, capacity sizing and optimization.
• Ability to troubleshoot and debug application and server errors and logs and triage accordingly
• Recommend configuration tuning/optimizations for performance bottlenecks
• Work closely with ClickHouse core development team, cloud team, security team and partner with them to improve the performance of ClickHouse Cloud.
• Plan, enable, and drive Chaos initiatives across Engineering teams, based upon internal priorities
• Develop, deploy and manage tools to systematically run chaos experiments and measure impact
• Enjoy working on, and gaining a deep understanding of, large scale distributed systems
• Study the problems in the software resilience, operational, and delivery spaces
• Extend our entire backend to enable Chaos Engineering techniques in the system
• Observe running systems, and determine/prioritize innovative ways to disrupt them

About you:

• You have 6+ years of relevant software development industry experience building and operating scalable, fault-tolerant, distributed systems.
• Software development experience in Go, C/C++, Java, or similar.
• Experience with concurrency, multithreading, and the deployment of distributed system architectures
• Experience developing cloud infrastructure services, preferably with Kubernetes.
• Experience leading and shipping large scope technical projects in collaboration with multiple experienced engineers.
• Expertise with a public cloud provider (AWS, GCP, Azure) and their infrastructure as a service offering (e.g. EC2).
• You have excellent communication skills and the ability to work well within a team and across engineering teams.
• You are a strong problem solver and have solid production debugging skills.
• You are passionate about efficiency, availability, scalability and data governance.
• You Thrive in a fast paced environment, and see yourself as a partner with the business with the shared goal of moving the business forward.
• You have a high level of responsibility, ownership, and accountability

#LI-Remote

Join our new Amsterdam-based team to expand CTC’s footprint in the APAC market, contributing to our global options market-making and volatility alpha suite. Partner with our Chicago, New York, and London offices to build low-latency alphas and execution strategies on APAC exchanges. Be a leading member of this tight-knit and experienced team to make startup-level impact at a well-established firm.
 
If you’re motivated by precision C++ engineering and the thrill of tackling intricate technical challenges, we’d love to meet you!

What You’ll Do

• Design, implement, and deploy trading strategies using modern C++ features.
• Partner with Traders and Quant Researchers to develop best-in-class execution and low-latency market making strategies.
• Foster collaboration with other teams including operations, pricing, exchange access, inventory and risk management, and test automation.
• Ensure operational safety and uphold the highest standards of software engineering by thoroughly testing code, following a coherent and maintainable design and architecture, and adhering to best practices—prioritizing carefully planned, well-structured solutions over ad hoc implementations.

What We’re Looking For

• Proficient in developing performant, scalable trading applications using modern C++; knowledge of C++20 preferred
• Experience with multi-threaded programming and distributed application architecture
• Strong interpersonal skills with the ability to build trust, collaborate, and influence cross-functionally.
• Ability to quickly triage issues and drive the resolution effort through completion.
• Comfortable making architectural decisions independently.
   

Technology is at the heart of modern electronic trading. IMC is seeking highly driven individuals to apply quantitative research techniques and practical experimentation to the technology used by exchanges, connectivity providers, and our own systems. You will develop new strategies to outpace other market participants in the highly competitive world of ultra-low-latency trading.

As a Performance Engineer at IMC, you will play a pivotal role in analysing, optimising, and tuning our systems interaction with exchange systems holistically. Working closely with cross-functional teams, you’ll be tasked with uncovering performance improvements across the trading stack. This role combines technical ingenuity with creative problem-solving to outsmart competition in one of the most demanding technical landscapes.

Your Core Responsibilities

• Black Box Reverse Engineering and Analysis: Analyse and understand the behaviour of complex systems using black-box techniques, identifying performance bottlenecks and optimisation opportunities. Designing and performing statistical experiments to explain emergent real world phenomena.
• Quantitative research: use large datasets to understand exchange technology.
• Experimentation & Prototyping: Design, implement, and test innovative ideas, experiments and technologies. Develop quick internal prototypes to evaluate performance and real-world applicability.
• Collaboration & Communication: Liaise effectively with traders, software and hardware engineers, and infrastructure teams to share insights and implement solutions.
• System Analysis: Analyse terabytes of network data to identify patterns, validate hypotheses, and optimise system performance.

Your Skills and Experience 

• Proficient understanding of computer internals, networking and Linux (at least two out of three). Skilled in reverse engineering techniques.
• Inquisitive mind. Think Sherlock Holmes and the case of the missing microsecond.
• Understanding of complex, bespoke networks and networking stacks.
• Experience with data and system analysis in Python
• Be able to work self-sufficiently with minimal guidance after internal training
• Capable of working autonomously while contributing to a multidisciplinary team. Always looking for ways to gain an edge.

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

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

In this role, you will: 

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

You are a good fit if you have: 

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

It is a plus if: 

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

#LI-REMOTE

What we offer 

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

Who we are

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

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

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

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

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

What you will do  

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

What you’ll bring  

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

Good to Know  

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