Wie wij zijn

Bij Platform Science werken we aan het verbinden van alles wat beweegt. Opgericht in 2015, zijn wij een open IoT-platform dat samenwerkt met innovatieve vlootbeheerders, applicatieontwikkelaars, voertuigfabrikanten en leveranciers in de transportsector. Samen leveren we revolutionaire oplossingen aan supply chain professionals over de hele wereld.

Onze medewerkers vormen een betrokken, diverse groep mensen die geloven in de kracht van goede ideeën. We nemen mensen aan met verschillende achtergronden en perspectieven om een bedrijfscultuur te bouwen die groei stimuleert door middel van innovatie. We hechten veel waarde aan doordachte acties en empathie voor anderen. Uitdagingen benaderen we met veerkracht en creativiteit, waarbij we transparantie aanmoedigen. Ongeacht onze achtergrond of verantwoordelijkheden: we zijn één team.

Over de functie

Platform Science is op zoek naar een Senior Software Engineer om mee te bouwen aan FleetHours+, ons next-generation platform voor urenregistratie en loonberekening binnen de Europese transport- en logistieksector. In deze rol overbrug je de kloof tussen functieaanvragen en logische technische oplossingen, waarbij je samen met onze Tech Lead complexe implementaties ontwerpt. Als senior lid van een toegewijd internationaal Scrum-team stuur je zowel backend- als frontend-ontwikkeling aan en zorg je ervoor dat het platform schaalbaar en krachtig blijft.

Belangrijkste verantwoordelijkheden

• Technisch Ontwerp: Vertaal complexe functionele vragen naar functionele/technische specificaties en modulaire componenten.

• Full-Stack Development: Besteed tot 50% van je tijd aan coderen, het implementeren van robuuste backend-services in C# en moderne frontend-modules in Angular.

• Architectuur & Samenwerking: Spar met de Tech Lead en Architect over nieuwe functies en technische implementaties; fungeer als hun vervanger bij afwezigheid.

• Teamleiderschap: Begeleid en coach junior developers, stel gedetailleerde Jira-tickets op en onderhoud duidelijke technische documentatie.

• Kwaliteit & Onderhoud: Onderhoud bestaande codebases en waarborg de nauwkeurigheid van alle technische objecten en componenten.

Ervaring

Vereiste ervaring

• Technische vaardigheid: Uitstekend programmeerniveau in C# en ervaring met het creëren van schaalbare microservices.

• Opleiding: Diploma op HBO/Universitair niveau in Informatica of een gerelateerd technisch vakgebied.

• Taaleisen: Uitstekende lees- en schrijfvaardigheid in het Nederlands en een goed professioneel niveau in het Engels zijn verplicht.

• Tools: Ervaring met Microsoft Visual Studio, GitHub (en GitHub Actions) en Atlassian-tools (Jira, Confluence).

• Modellering: Sterk vermogen om UML-diagrammen en conceptuele modellen te maken en te begrijpen.

Gewenste ervaring

• Sector kennis: Ervaring in de transport- en logistieksector of kennis van salaris-/HRM-systemen.

• Tech Stack: Goed niveau in programmeren met Angular en kennis van MongoDB.

Eigenschappen van een succesvolle kandidaat

• Proactieve houding: Een professionele, zelfgemotiveerde werknemer die de volledige verantwoordelijkheid neemt voor projectresultaten.

• Heldere communicator: Sterk vermogen om technische concepten schriftelijk en mondeling te communiceren, inclusief presenteren voor een publiek.

• Nauwkeurigheid: Zeer precies in het dagelijkse werk, ervoor zorgend dat technische componenten voldoen aan strikte functionele eisen.

• Agile mindset: Zeer vertrouwd met werken in een Scrum-omgeving en samenwerken in een internationale setting.

Who We Are

At Platform Science, we’re working to connect everything that moves.

Founded in 2015, we are an open IoT platform that partners with innovative fleets, application developers, vehicle manufacturers, and equipment providers in the transportation industry to deliver revolutionary solutions to supply chain professionals across the globe.

Our employees are an engaging, diverse group of people who believe in the power of great ideas. We hire people with different experiences and perspectives to build a company culture that fuels growth through innovation.

We value thoughtful actions and empathy for others. We approach challenges with resiliency and creativity, while encouraging transparency because, no matter our backgrounds or responsibilities, we are one team.

About the Role

Platform Science is seeking a Senior Software Engineer to help build FleetHours+, our next-generation platform for hours registration and wage calculation within the European transport and logistics sector. In this role, you will bridge the gap between feature requests and logical technical solutions, architecting complex implementations alongside our Tech Lead. As a senior member of a dedicated international Scrum team, you will drive both backend and frontend development, ensuring the platform remains scalable and high-performing.

Essential Responsibilities

• Technical Design: Translate complex feature requests into functional/technical specifications and modular components.

• Full-Stack Development: Spend up to 50% of your time coding, implementing robust backend services in C# and modern frontend modules in Angular.

• Architecture & Collaboration: Spar with the Tech Lead and Architect regarding new features and technical implementations; act as their deputy during absences.

• Team Leadership: Guide and coach junior developers, create detailed Jira tickets, and maintain clear technical documentation.

• Quality & Maintenance: Maintain existing code bases and ensure the accuracy of all technical objects and components.

Experience

Required Experience

• Technical Proficiency: Excellent level of programming in C# and experience in creating scalable microservices.

• Education: HBO/University level degree in Computer Science or a related technical field.

• Language Requirements: Excellent reading and writing skills in Dutch and a good professional level in English are mandatory.

• Tools: Experience with Microsoft Visual Studio, GitHub (and GitHub Actions), and Atlassian tools (Jira, Confluence).

• Modeling: Strong ability to create and understand UML diagrams and conceptual models.

Preferred Experience

• Industry Knowledge: Experience in the transport and logistics branch or knowledge of salary/HRM systems.

• Tech Stack: Good level of programming in Angular and knowledge of MongoDB.

Traits of a Successful Candidate

• Proactive Attitude: A professional, self-motivated worker who takes full ownership of project outcomes.

• Clear Communicator: Strong ability to communicate technical concepts in writing and speaking, including presenting to an audience.

• Accuracy: Highly precise in daily work, ensuring technical components meet strict functional requirements.

• Agile Mindset: Deeply familiar with working in a Scrum environment and collaborating in an international setting.

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. 

Why this role?

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

Overview

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

What You'll Do

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

What We're Looking For

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

Nice to Have

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

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

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

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

This is an internal and non-client facing role.

What you’ll do: 

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

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

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

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

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

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

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

• Help field and troubleshoot various community questions and challenges

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

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

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

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

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

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

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

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

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

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

Requirements: 

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

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

• Prior experience with Snowflake a plus

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

• Experience in building data models

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

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

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

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

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

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

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

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

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

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

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

What you’ll do: 

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

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

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

• Build & maintain python & SQL based platform automation process

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

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

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

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

• Build & maintain DataOps process for SDLC delivery

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

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

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

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

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

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

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

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

Requirements : 

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

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

• Prior experience with Snowflake strongly desired

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

• Strong understanding of data architecture & data modeling concepts

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

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

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

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

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

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

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

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

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

Summary:

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

The role

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

We expect you to have

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

Your responsibilities will include

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

What we offer

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

How You'll Make an Impact: 

As a Senior DevOps Engineer at Cloudbeds, your goal is to constantly improve and scale our SaaS platform to deliver an exceptional experience to hoteliers and their guests worldwide. You'll own the creation, monitoring, automation, and support of our cloud infrastructure and delivery pipelines — enabling product teams to ship high-quality software with speed and confidence. Working within a bottom-up culture that values healthy debate and collaborative problem-solving, you'll have real influence over architecture decisions and the opportunity to shape how we scale infrastructure for one of the fastest-growing hospitality technology platforms in the world.

Our Infrastructure Team: 

Our Infrastructure team is made up of engineers who take genuine pride in their craft, owning projects end-to-end and holding themselves to a high bar. We're passionate about technology and constantly pushing to improve our stack, not just maintain it. If you thrive in an environment where attention to detail matters, great communication is a given, and you're comfortable challenging the status quo to make things better, you'll feel right at home here.

What You Bring to the Team:

• Architect, improve, and scale Cloudbeds' cloud infrastructure on AWS, with a focus on reliability, security, and performance
• Build and evolve our Kubernetes (EKS) platform, driving adoption of containerization best practices across engineering teams
• Automate infrastructure provisioning and configuration using infrastructure-as-code tools like Terraform
• Design, build, and maintain CI/CD pipelines (GitHub Actions, ArgoCD) that enable fast, reliable software delivery
• Partner with product and engineering teams to drive projects to production, sharing DevOps expertise and ensuring strong environment configuration from the infrastructure side
• Maintain and improve monitoring, logging, and alerting systems to ensure platform health and rapid incident response
• Participate in on-call rotation to support production environment stability.

What Sets You Up for Success:

• 5+ years of experience as a DevOps Engineer working hands-on with AWS (networking, compute, storage, databases, queues, cache, permissions).
• 5+ years of strong Kubernetes and Docker experience, including implementing and scaling EKS platforms at production scale.
• Deep expertise with Terraform for infrastructure-as-code and configuration management.
• Proven experience building and supporting CI/CD pipelines using GitHub Actions and ArgoCD.
• Strong knowledge of monitoring and observability tools such as Datadog, Prometheus, Loki, or AWS CloudWatch.
• Working knowledge of web application servers (NGINX, Ingress controllers), databases (MySQL, PostgreSQL, Aurora), caching (Redis, Memcached), and queue technologies (SQS).
• Ability to write Bash and/or Python scripts to automate operational tasks.
• Strong Linux system administration skills and solid networking fundamentals.
• Excellent written and verbal English communication skills; comfortable working asynchronously across a globally distributed remote team.

#LI-REMOTE #LI-IK1

As a Linux Engineer in the Global Linux team, you will design, build and operate the critical infrastructure that powers our trading environment. The team owns both large-scale bare-metal Linux platforms and on-prem Kubernetes clusters across our global datacenters.

You will play a key role in evolving our Kubernetes platform while continuing to support and improve our high-performance Linux estate.

What you’ll do

Design, deploy and operate on-prem Kubernetes clusters in a bare-metal environment (Rancher-managed)

• Maintain and improve our bare-metal Linux infrastructure, including provisioning, lifecycle management and performance tuning

• Own and operate core Kubernetes components including Cilium (CNI), ArgoCD (GitOps), and Rancher

• Build and maintain CI/CD workflows for infrastructure and cluster deployments using ArgoCD and GitHub Actions

• Develop and maintain infrastructure as code using Terraform and bespoke on-prem systems

• Participate in on-call rotation covering both Kubernetes clusters and other Linux-based production systems

• Drive reliability, scalability and performance improvements across both containerized and non-containerized workloads

• Contribute to monitoring, observability and security posture across the Linux and Kubernetes platforms

• Ensure the broader team can effectively operate and support the Kubernetes and Linux platforms by building clear documentation, operational runbooks, and providing practical, hands-on guidance

Who you are

• Strong Linux systems engineering experience in production environments

• Hands-on experience operating Kubernetes on-prem (not only managed cloud offerings)

• Experience with:

  • Rancher

  • Cilium or other CNI technologies

  • ArgoCD (GitOps workflows)

  • Terraform

  • CI/CD systems such as GitHub Actions

• Solid understanding of networking fundamentals (L2/L3, routing, firewalls, load balancing)

• Experience troubleshooting performance issues across kernel, container and network layers

• Production mindset with experience in incident response and post-mortem driven improvements

Nice to have

• Experience building monitoring stacks (e.g. Prometheus, Grafana)

• Experience with Kubernetes security controls (network policies, RBAC, policy engines)

• Knowledge of low-latency or performance-sensitive environments

• Experience contributing to internal platform tooling

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

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

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

In addition, you’ll receive:

• A performance-based bonus structure, 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.

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.

Responsibilities

We are looking for a Senior Python Engineer to play a key role in building the core of our AI platform. In this position, you will design and develop production-grade systems that power intelligent automation, agentic workflows, and large-scale retrieval services. This is a highly technical, hands-on role that involves close collaboration with product and platform teams to transform advanced AI concepts into reliable, scalable, and secure solutions used across our enterprise ecosystem. You will also be responsible to:

• Design, build, and maintain AI-powered services and APIs, leveraging LLMs (OpenAI, Anthropic, Qwen, OSS models) and custom ML models.

• Develop an enterprise-grade agentic framework that enables orchestration, retrieval, and collaboration between multiple AI agents.

• Implement and optimize knowledge retrieval systems and agentic search capabilities using vector databases such as Qdrant and ElasticSearch.

• Write well-structured, efficient, and testable Python code for production services, experimentation, and internal developer tools.

• Build and maintain shared Python libraries and SDKs used across multiple applications and microservices.

• Collaborate with cross-functional teams on architecture, internal protocols, and API standards to ensure consistency and reliability across the platform.

• Develop and enhance monitoring, validation, and observability for production-grade AI solutions.

• Drive the full software development lifecycle - from design and implementation to deployment, monitoring, and continuous improvement.

• Identify and resolve performance bottlenecks, reliability issues, and scaling challenges in complex, data-intensive environments.

• Participate in code reviews and technical discussions, mentoring other engineers and contributing to a culture of excellence.

Example Projects

• Building an evaluation and observability framework for AI model performance and reliability.

• Developing an agentic orchestration platform that enables collaboration among multiple AI agents and tools.

• Implementing semantic retrieval and agentic search capabilities over large enterprise knowledge bases.

• Designing AI services that process and reason over high-volume real-world data at scale.

Requirements

Qualifications / Experience / Technical Skills

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

• 5+ years of experience as a Software Engineer, with strong proficiency in Python.

• Proven track record of building and maintaining production-grade systems using Python.

• Strong understanding of distributed systems, API design, and data-driven architectures.

• Experience with relational and non-relational databases (PostgreSQL, Elastic, Qdrant, or similar).

• Familiarity with AI/ML system design, including LLM integration and evaluation pipelines.

• Knowledge of DevOps and observability practices (CI/CD, monitoring, metrics, and model validation).

• Python • FastAPI • LLM APIs (OpenAI, Anthropic, Qwen, OSS) • LiteLLM • Qdrant • PostgreSQL • ElasticSearch • Langfuse • Kubernetes • GitHub Actions • ArgoCD

Preferred Skills

• Experience working with multiple LLM providers (OpenAI, Anthropic, Qwen, open-source models).

• Background in developer platforms or AI infrastructure services.

• Familiarity with vector databases, semantic retrieval, and knowledge graph architectures.

• Exposure to Langfuse, LiteLLM, LangChain, or similar frameworks.

• Experience developing enterprise-scale SaaS or distributed backend systems.

• Contributions to open-source projects in Python, AI, or infrastructure engineering.

Soft Skills / Personal Characteristics

• Excellent communication skills, with the ability to convey complex technical ideas clearly to both technical and non-technical audiences.

• Collaborative and proactive approach, comfortable working across teams in a dynamic environment.

• Strong analytical and problem-solving abilities, with a focus on continuous improvement and innovation.

• Curiosity and a genuine interest in emerging AI technologies and modern backend architectures.

(REQ ID: 2459)

Your Role

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

In this position, you’ll:

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

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

Must-Haves

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

Nice-to-Haves

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

Our Role

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

Compensation

At 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

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 Developer Experience Lead 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

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

What you’ll do:

Cloud and platform engineering (DevOps):

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

Operational excellence and reliability:

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

Technical leadership:

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

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

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

#LI-YY1

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. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

Today, AI-powered assistance and agents are becoming a core part of how developers work in our IDEs. The ML Workflows Engineering team is dedicated to removing infrastructure challenges, streamlining machine learning operations (MLOps), and enabling teams to focus on the innovative work that matters most – building impactful ML models and intelligent agents. As part of the team, you'll play a key role in designing tools, automation, and pipelines that make machine learning development seamless and intuitive.

By integrating cutting-edge MLOps practices and engineering excellence, we aim to maximize productivity and remove the complexity of ML infrastructure so that our teams can push the boundaries of what’s possible in AI.

As part of our team, you will:

• Build tools, automation, and workflows to simplify infrastructure-heavy tasks, empowering AI teams to focus on experimentation and solving core challenges.
• Develop robust monitoring, logging, and tracing systems to ensure the performance and reproducibility of ML workflows in production.
• Design, implement, and maintain end-to-end machine learning pipelines to enable the seamless development, training, and deployment of ML models and intelligent agents.
• Work with large-scale distributed systems, including GPU clusters, to support training, fine-tuning, and evaluation of ML models.
• Collaborate with product and development teams to transform high-level goals into concrete, scalable, and maintainable systems.
• Optimize workflows for reproducibility, scalability, and cost-efficiency while keeping ML teams productive and focused on innovation.

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

• Hands-on experience with modern MLOps tooling, including Kubernetes, Cloud providers (GCP and AWS), and ML orchestration frameworks.
• A solid understanding of the ML lifecycle from idea to the customer-facing application.
• The ability to own projects end to end, starting from a high-level problem or product pain point and overseeing it through the design, experimentation, implementation, and iteration phases.
• A customer-centric mindset – you care about how ML engineers are actually working and can translate their needs into actionable, scalable, and maintainable architectural decisions.
• Experience with modern CI/CD systems, like GitHub Actions or JetBrains TeamCity.
• At least three years of Python experience writing clean, maintainable code in modern ML codebases.

Our ideal candidate would have experience with:

• ML orchestrators and workflow tools such as ZenML, Dagster, and Airflow.
• Developing infrastructure components and services using cluster solutions like Kubernetes.
• The development of Python-based backend services.
• Creating and maintaining ML pipelines, including legacy ones.
• Experiment tracking and observability using tools like Weights & Biases, MLflow, Langfuse, or similar.

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

• LLM inference frameworks such as vLLM, DeepSpeed, and TensorRT.
• Writing and maintaining Python libraries used by internal (or external) ML engineers.
• A strong theoretical background in NLP and transformer-based approaches.
• Writing code in Java and/or Kotlin.

#LI-HYBRID
#LI-MR1

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

WHO WE ARE 🌍

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

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

WHO WE'RE LOOKING FOR 🌟

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

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

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

WHY THE ROLE IS SPECIAL 💡

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

WHAT YOU’LL DO 🤖

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

TO SHINE IN THIS ROLE 💥

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

NICE TO HAVE SKILLS 🛠️

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

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

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

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

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

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