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. 

Role 

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

What you’ll do (Role Expectations)

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

Who You Are (Success Profile)

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

What We’re Looking for (Minimum Qualifications)

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

What Will Make You Stand Out (Preferred Qualifications)

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

#LI-REMOTE
#LI-MM8

Role & Team

As a Senior Engineer, you will have a direct impact on the development of core geospatial products and internal data-processing and annotation tools at Overstory. 

Your breadth of skills will allow you to set a technical vision for the development of the web applications, ETL pipelines, and backend services owned by these teams.

You’ll partner with product managers, external resources, and your team members to execute this vision.

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

What You’ll Do

• Explore best practices to combine coding agents with software craftsmanship and teach other engineers these practices
• Optimize the orchestration of several object detection and image alignment models
• Design and maintain robust data and feature pipelines for millions of geospatial entities
• Contribute to the technical vision for the development of our internal annotation and QA web applications
• Work closely with your Product Manager to discover and propose new products to solve use cases such as anticipating the impact of an outage at a particular locatio

Skills & Experience

• 5+ years of experience as a senior software engineer 
• Skilled in designing ETL pipelines with near-real-time orchestration, in Python.
• Strong background building and maintaining scalable web-applications with React, FastAPI, PostgreSQL
• Experience with XP practices such as TDD or trunk based development. The team would be new to these practices
• Strong communication skills and ability to explain complex technical concepts to various audience

Nice To Have

• Experience with the Geospatial ecosystem such as PostGIS, Geopandas or Deck.GL
• Experience with Dagster, Airflow or similar orchestration frameworks
• Experience with building web-applications tailored for repeatable human or agentic workflows
• Experience working in B2B, in particular with electrical utilities

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

What We Offer

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

Why Cast AI?

Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.
The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.
Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.

Global team, diverse perspectives

We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.

Unicorn momentum

In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.

Join us as we build the future of autonomous infrastructure.

About the role

Throughput. Latency. KV cache utilization.

Move those three numbers in the right direction, and two things happen: customers get faster, cheaper inference, and our margins improve. That's the entire thesis of this role. Every kernel you tune, every quantization scheme you ship, every scheduler tweak you land shows up directly in a customer's p99 and on our P&L.
This is a high-impact seat. It is also a high-autonomy seat as you'll be given the room to lead the technical direction of inference optimization at Kimchi, not execute someone else's roadmap.

The problem: running LLMs in production is a moving target. The "right" model and serving configuration for a workload depend on traffic shape, sequence-length distribution, batch dynamics, GPU SKU, memory bandwidth, quantization tolerance, and a dozen other variables that shift week to week. Most teams pick a model once, over-provision GPUs, and absorb the cost. Kimchi is the system that makes that decision automatically - continuously matching workloads to the most cost-efficient, best-performing LLM and serving configuration on a customer's infrastructure. We're building the optimization layer between the model and the hardware, and we need engineers who understand both sides deeply.

Stack

Python; vLLM; SGLang; TensorRT-LLM; PyTorch; CUDA-adjacent tooling; Kubernetes; gRP; ClickHouse; PostgreSQL; GCP Pub/Sub; AWS / GCP / Azure; GitLab CI; ArgoCD; Prometheus; Grafana; Loki; Tempo.

Requirements:

• 5+ years building real ML systems, with a portfolio that shows depth in inference or training infrastructure (not just model training notebooks).
• Strong Python - production services, not scripts.
• Hands-on experience with at least one of vLLM, SGLang, or TensorRT-LLM, and a working mental model of why an inference engine performs the way it does on a given GPU.
• Fluency with quantization tradeoffs - you've measured quality regressions, not just compression ratios.
• Comfort with distributed systems: collective communication, sharding strategies, and the practical failure modes of multi-GPU and multi-node setups.
• A bias toward measurement. You instrument before you optimize, and you can tell the difference between a real win and a benchmark artifact.
• Self-direction. This role comes with a wide mandate; you should be excited by that, not unsettled by it.

Responsibilities:

• Push throughput. Continuous batching, speculative decoding, chunked prefill, kernel-level tuning across vLLM, SGLang, and TensorRT-LLM. Find the ceiling on each GPU SKU, then raise it.
• Cut latency. Attack TTFT and TPOT separately. Profile, identify the actual bottleneck (compute, memory bandwidth, scheduling, networking), and fix it - not the bottleneck you assumed.
• Get more out of the KV cache. Paged attention, prefix caching, eviction policies, cache reuse across requests, quantized KV. This is where a lot of the unrealized throughput lives, and it's an area you'll own.
• Quantize without regressing quality. INT8, INT4, FP8 across weights, activations, and KV. Empirical work: measure quality on real workloads, not just perplexity benchmarks.
• Shrink cold starts and memory footprint. Faster init, smarter weight loading, tighter memory accounting - the difference between a model that scales and one that doesn't.
• Scale across nodes. Distributed inference topologies, network-aware placement, checkpointing strategies that don't bottleneck on storage or interconnect.
• Set the technical direction. Decide what we benchmark, what we adopt, and what we build ourselves. Bring the team along with strong writeups and reproducible experiments.

What’s in it for you?

• Competitive salary (depending on the level of experience).
• Enjoy a flexible, remote-first global environment.
• Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology
• Equity options.
• Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
• Spend 10% of your work time on personal projects or self-improvement. 
• Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
• Annual hackathon to spark new ideas and strengthen team bonds.
• Team-building budget and company events to connect with your colleagues.
• Equipment budget to ensure you have everything you need.
• Extra days off to help maintain a healthy work-life balance.

Hiring process

• Screening call with Recruiter
• Hiring Manager interview
• Technical interview (system design)
• Live coding
• Culture Check interview with an executive

As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
Please note that Cast AI does not provide any form of visa sponsorship/work permit.

#LI-Remote

Join our Trading Technology team in Amsterdam, where you’ll build real-time data systems that directly support Optiver’s trading strategies and market insights. As a\ Quant Developer, you’ll focus on creating scalable, high-performance platforms for real-time analytics, enabling traders to make precise, data-driven decisions across various products. At Optiver, technology drives our approach to market-making—whether optimizing for low latency response times or processing massive data volumes with efficiency, even in extreme market conditions. This role offers the chance to tackle complex technical challenges in a dynamic environment, collaborating closely with traders and researchers to advance smarter, more effective trading practices that keep Optiver at the forefront of the industry.

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 Do:

You’ll be focused on addressing complex challenges in real-time data analytics in high throughput data environments for trading. As a Senior Software Engineer in the Trading Technology team, you’ll develop and optimize scalable systems for data processing and analytics that handle vast volumes of market data. Your work will ensure low-latency data pipelines, high-throughput compute, and robust algorithms—essential for reliability and speed in our trading decision making

Key Responsibilities:

• Develop scalable, reliable data systems that support real-time analytics for trading and large-scale historical analysis

• Partner closely with traders and researchers to deliver actionable insights and meet dynamic data needs across ingestion, storage, and real-time processing

• Drive the development of our data lake and analytics frameworks, enabling immediate access to live and historical data

• Build real-time analytics capabilities to support rapid decision-making in trading operations

• Engineer for resilience and reliability, implementing automated recovery processes and safeguards for high-demand periods

Projects You Might Work On:

• Enhancing research frameworks to enable quick deployment of trading applications and strategy optimizations

• Expanding real-time analytics for high-frequency trading and predictive market insights

• Integrating machine learning models within data pipelines to improve predictive accuracy

Who You Are:

You’re a highly skilled engineer passionate about building sophisticated systems that drive data-driven trading decisions:

• 5+ years of experience in high-performance data systems and infrastructure

• Proficiency in C++ or Python, with a commitment to clean, maintainable code

• Strong understanding of operational excellence in areas like networking, database performance, and system resilience

• Experience with real-time analytics platforms

• Familiarity with big data tools and frameworks, such as Pandas, Polars, PyArrow, Kafka, PostgreSQL, and DeltaTable

• Background in trading or financial markets is a plus, but not required

WHAT YOU'LL GET:

• The chance to work alongside best-in-class professionals from over 40 different countries.
• Our performance based bonus structure is unmatched anywhere in the industry. We combine our profits across desks, teams and offices into a global profit pool fostering a truly collaborative environment to work in.

Alongside this you will get great secondary benefits such as 25 paid vacation days, fully paid first-class commuting expenses, training opportunities, discounts on health insurance, breakfast and lunch facilities, sports and leisure activities, Friday afternoon drinks and even weekly in-house chair massages.

Being highly international, we are accustomed to guiding expats through their relocation, offering competitive relocation packages and providing visa sponsorship where necessary.

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.

In a nutshell

At Picnic, we’re redefining how people buy groceries by making shopping effortless, sustainable, and fun! Our Consumer domain is at the heart of this transformation, creating customer-facing features that delight millions of users across Europe.

From developing personalized shopping experiences, like our Meal Planner, to building engaging loyalty programs, we focus on delivering a high-quality, intuitive user experience by building scalable solutions with the latest tech. If you’re passionate about building impactful products used by millions daily, this is the place for you!

Tricks of the trade

• Ownership: Take ownership of projects from concept to production. Work collaboratively, grow alongside your team, and contribute to the team’s success.
• Impact: Develop solutions that make shopping smarter, faster, and more intuitive. Your code will power seamless, scalable, and personalized interactions for millions of users.
• Agility: Thrive in a fast-paced environment where you learn and use a wide variety of tools and platforms to build the best tech for our customers.
• Amplification: You’ll share knowledge, empower your colleagues and multiply your impact beyond what you could achieve on your own.
• Platform thinking: Build technology that empowers developers and business analysts alike to develop flexible features. (Check out our blog post!)
• Our Tech: You’ll work with Java and TypeScript on a daily basis, using frameworks like Spring (Spring with Spring Boot, Reactor, Immutables) and React. Supporting this core stack are GraalVM, Apache Calcite, Maven, Python 3.x, MongoDB, PostgreSQL, RabbitMQ, Kafka, Git, Docker, Kubernetes, AWS, Helm, Terraform, Vault, and Datadog.

We’re looking for

• You have a Master’s Degree (in Computer Science, Artificial Intelligence, Information Technology, Computer Engineering or a related technical field) or equivalent experience.
• You have 5+ years of professional experience in Java.
• You have a product mindset and treat technology as a means to an end, owning and solving business problems by choosing the best-fitting technical solutions and tools for each challenge.
• You are fluent in working with AI and can effectively accelerate your output with orchestrated agentic workflows.
• Your English skills are on point (no Dutch required).

Picnic Perks

✍🏼 Every expert was once a beginner! 

You’ll get plenty of opportunities to challenge yourself and grow, including the Picnic Tech Academy, Lunch & Learn sessions, and tailored soft skills training. We also offer free professional weekly language courses.

💡 Make a difference

You’ll work in an awesome startup environment with the freedom to drive your own projects and create a visible impact. Our fully electric vehicles and sustainable business model mean you’ll also be contributing to making the world a better place! 

🫱🏼‍🫲🏾 Teamwork makes the dream work

With more than 80 nationalities across 3 countries, you’ll be part of a diverse company with plenty of cool stuff to get involved with, from board game evenings to after-work drinks to our company ski trip and more!

🍎 You are what you eat

You’ll get freshly prepared, healthy lunches and snacks (with plenty of vegetarian, vegan, and halal options). Coffee snob? Don’t worry, our amazing Picnic barista has you covered.

🚴🏽 Stay healthy 

Mental health is important. As well as having the option to speak with Picnic colleagues who act as confidential advisors, our collaboration with OpenUp gives you easy access to professional psychologists, along with workshops and materials. There are plenty of sports communities and events to get involved with, from tennis to yoga, to climbing! 

🔋 Attractive package

We offer competitive compensation and a pension plan that looks out for your future self, as well as 25 vacation days per year, so you can recharge your batteries 

🌍 Benefits for expats 

It can be daunting starting a new job AND moving to a new country. That’s why we offer lots of support for our many expat colleagues, if you want to find our relocation benefits, see here.

NOTE: this position can be remote anywhere within the Netherlands.

As the Principal Product Manager for ClickHouse Cloud, you will be responsible for leading the development and delivery of the product working closely with engineering, customers, and stakeholders.

What you will do:

• Define and drive the product roadmap for ClickHouse Cloud, with a focus on cloud-native database capabilities such as multi-region replication, distributed query execution, fault tolerance, storage tiering, and schema evolution.
• Collaborate with engineering to prioritize and deliver improvements to the core database engine, storage layer, and query optimizer, ensuring the Cloud offering keeps pace with open-source and enterprise use cases.
• Engage directly with customers, gathering insights through interactions, feedback, and market research to guide product decisions.
• Work alongside design, marketing, operations, and sales teams to support feature launches, contribute to blog posts, and help shape product positioning and messaging.
• Define and track key performance indicators (KPIs) to measure product success.
• Act as the primary point of contact for all product-related communications, effectively managing expectations and keeping stakeholders informed.

About You:

• Minimum 8+ years of product management experience with a strong background in cloud-based SaaS products. Deep familiarity with database systems, distributed systems, or real-time analytics platforms is strongly preferred.
• Hands-on experience with SQL and strong understanding of query execution, indexing strategies, partitioning, and performance tuning.
• Experience working with databases such as ClickHouse, PostgreSQL, MySQL, Snowflake, BigQuery, Redshift, or other columnar databases.
• Understanding of modern data infrastructure: data lakes, ETL pipelines, CDC and data orchestration frameworks.
• Demonstrated ability to work with engineering on low-level technical topics, such as schema management, query planning, storage engines, schema design.
• Experience designing and delivering features such as database replication, consistency models, and backup/restore workflows.
• Strong leadership skills with the ability to influence cross-functional teams and drive execution in a fast-paced, high-growth environment.
• Excellent communication and presentation skills, capable of simplifying deep technical topics for non-technical audiences.

Bonus Points:

• Experience working and scaling open source technologies
• Prior experience at a startup

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

An overview of this role

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

Some examples of our projects:

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

What you'll do

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

What you'll bring

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

About the team

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

An overview of this role

As a Senior Backend Engineer (AI) in the Verify stage at GitLab, you'll help shape and scale the core infrastructure behind GitLab CI. You'll play a key role in how we integrate AI into CI/CD workflows, working on features that improve performance, reliability, and usability for people running millions of CI jobs, from small teams to the largest enterprises.

AI is a top priority in the year ahead. In this role, you'll go beyond using AI tools — you’ll design, build, and iterate on AI-assisted and agentic CI experiences. You’ll help define and implement patterns for how we measure success, how we instrument behavior in production, and how we account for large language model limitations in real-world environments. You’ll also help integrate GitLab's Duo Agent Platform into CI workflows at scale, on a foundation that's fast, reliable, secure, and observable.

In this role, you will:

• Collaborate with Engineering, Product, and UX partners to refine priorities: where we can move faster, where we’re missing data, and where there’s whitespace to innovate.
• Contribute to defining what success looks like across our AI agents, ensuring we’re not just shipping, but learning from how features perform in production.
• Keep a close eye on the competitive landscape and emerging AI-native DevOps tools, helping us understand what it takes to keep GitLab CI best-in-class in an increasingly agentic world.

Examples of Agentic CI work we have planned for the upcoming year:

• AI Pipeline Builder, the foundational CI agent that auto-creates pipelines for new projects and serves as the launchpad for onboarding new CI users.
• Automate the Fix a Failing Pipeline flow at scale – from dogfooding on internal GitLab projects through to safe, controlled rollout for customers, solving real infrastructure and scalability challenges.
• Build the instrumentation and observability layer that makes agentic CI trustworthy — trigger volume dashboards, retry rates, cost safeguards — so we can measure what’s working, catch what isn’t, and iterate with confidence.
• Harden the CI pipeline execution infrastructure that these agents depend on: database access patterns, background processing, and job orchestration built to handle the additional load that AI-driven automation introduces at enterprise scale.

What you’ll do:

• Design, build, and operate backend features that make GitLab CI fast, reliable, and easy to use at scale.
• Implement AI-powered and agentic CI capabilities that integrate with GitLab’s Duo Agent Platform.
• Instrument, monitor, and improve CI systems using data, observability, and safe rollout practices.
• Write secure, well-tested Ruby on Rails code in our monolith, improving existing features while reducing technical debt.
• Collaborate cross-functionally with Product, UX, and Infrastructure, mentoring others and raising engineering standards across the Verify stage.

What you’ll bring:

• Strong Ruby on Rails backend experience in a large, production codebase.
• In-depth experience building and operating AI-powered backend features in production.
• A data- and observability-driven approach to diagnosing issues, improving reliability, and validating impact.
• Clear written and verbal communication, with a collaborative, mentoring mindset in a remote, async environment.
• Hands-on experience building, running, and debugging high-traffic production systems, ideally in CI, workflow orchestration, or adjacent infrastructure-heavy domains.Nice to have
• Experience with AI agents or agentic frameworks (for example, LangChain or similar technologies) and building agentic workflows in production environments.
• Strong PostgreSQL skills, including data modeling, query tuning, and scaling large tables through proactive performance investigation and remediation.

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

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

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

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

Who you are

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

In terms of skillset, we're looking for:

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

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

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

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

In addition, you’ll receive:

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

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

Please note:

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

Diversity statement
Optiver is committed to diversity and inclusion.

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

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

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

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

Who you are

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

In terms of skillset, we're looking for:

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

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

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

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

In addition, you’ll receive:

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

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

Please note:

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

Diversity statement
Optiver is committed to diversity and inclusion.

The Trading Operations Production Support Engineering team is responsible for maintaining and scaling Optiver’s low-latency trading systems. The team ensures a safe, stable, and efficient production environment while supporting profitability and sustainable growth across various regions. Collaborating closely with traders, development, and operational teams, the engineer will deploy, monitor, troubleshoot, and optimize our trading infrastructure to enhance reliability, performance, and automation.

What you'll do

• Provide technical expertise and support to high-frequency trading floors, troubleshooting complex issues and resolving incidents in a fast-paced, dynamic setting.
• Deploy, maintain, and monitor proprietary trading applications, ensuring stability and performance in the trading environment.
• Review and analyze incidents to identify recurring themes, driving improvements to enhance automation and operational efficiency.
• Coordinate deployments of new trading products, systems, and exchanges, ensuring readiness for events such as corporate actions or special announcements.
• Architect and maintain services to maximize reliability, ensuring the trading systems operate within performance thresholds.
• Collaborate with development teams to establish best practices and ensure the long-term stability of production systems, even under extreme conditions.
• Set standards for system configuration and deployment to minimize risks and support smooth scaling.
• Manage the colocation to ensure the right level of redundancy and capacity for growth is available.
• Automate system management processes, while maintaining control over critical operations.
  
  

Who you are
Technical Skills:

• Solid experience managing complex distributed systems in Linux environments (L2/L3 support), with a strong understanding of networking fundamentals, build, deployment, and version control systems.
• Proficiency with CI/CD tooling and scripting in Python or similar languages to automate tasks.
• Experience with relational databases (e.g., PostgreSQL) or other database systems.
• Demonstrated ability to drive system improvements and work across global teams to deliver changes.

Non-Technical Skills:

• A collaborative team player with a positive attitude, capable of coordinating effectively across departments.
• A pragmatic and logical thinker who thrives under pressure in high-intensity environments, with strong troubleshooting skills and the ability to resolve incidents efficiently.
• Effective communicator, able to clearly explain technical concepts and ask insightful questions.
• Highly organized, able to manage multiple responsibilities while keeping stakeholders informed.
• Passionate about technology, curious about the interaction between hardware and software, and driven to learn and grow by embracing frequent change.
• Prior experience in high-frequency trading environments is a plus, but not required.

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

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

Diversity statement
Optiver is committed to diversity and inclusion.

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)

🌎 Hire Location (we can only hire for this role in the following countries): United Kingdom | Ireland | The Netherlands 

Everyone’s racing to build AI. Workera exists for the 8 billion people who have to work alongside it.

While the world’s attention is on creating new tools, someone has to solve the other side of the equation: the humans. The workforce is going through the biggest transformation in a generation and most organizations are navigating it blind, without the data to understand what their people can actually do, where the gaps are, or how to close them fast enough.

That’s what we build. Workera’s skills intelligence platform is the critical infrastructure for the AI era. It’s the layer that lets organizations understand, mobilize, manage, and develop their talent with precision. Trusted by the Fortune 500 and powered by proprietary AI agents, we’re the company helping the world’s largest organizations not just survive the transition to AI, but lead it.

We’re looking for a Senior Fullstack Engineer whose heart is in the backend — someone excited to architect and own the systems that power our AI-native platform, built on Elixir/Phoenix. You’ll join small, autonomous project teams (2–3 people) that take full ownership of a feature from scoping and prototyping through to rollout and user feedback, with the depth to contribute across the stack and the instinct to lead from the backend. AI fluency isn’t optional here — you will use agentic coding and AI agents as a core part of how you work and build.

WHY THIS ROLE EXISTS

As Workera scales its AI-native platform to serve global enterprise customers, we need senior engineering talent who can own critical backend systems end-to-end. This role exists to add to our EMEA engineering team, bringing someone with depth and ownership  — shipping high-stakes, platform-critical features while advancing our AI-first engineering culture.

YOUR TEAM

You’ll join a cross-functional team operating at the intersection of generative AI, enterprise software, and talent transformation. Your immediate engineering team consists of four engineers, supported by a product designer, product manager, and engineering manager, all based in the EMEA region. The team values deep work and async communication — with only a few regular touchpoints each week — so you’ll have plenty of uninterrupted time to build.

WHAT YOU’LL OWN

This isn’t a list of tasks. These are the outcomes you’re accountable for:

• Architect and own backend systems that are robust, performant, and built to scale with a growing enterprise customer base
• Lead full projects end-to-end — owning scoping, architecture, build, and rollout — within a small autonomous team
• Ship AI-powered product features using agentic coding workflows and LLM integrations as a core part of how you build
• Identify and drive cross-team technical initiatives that advance Workera’s AI-first engineering organization
• Troubleshoot and resolve production issues throughout the full stack with speed and confidence
• Contribute on the frontend (Phoenix + React) when needed, bringing a full-stack perspective to backend-led ownership

HOW YOU’LL RAMP

We don’t expect you to figure it out alone. Here’s what great looks like at each stage:

First 30 Days — Learn the Machine

• Immerse yourself in Workera’s platform, customers, and the problems we’re solving. You’ll shadow key workflows and understand how AI is embedded in day-to-day operations across teams
• Get fully up to speed with our development process and begin using AI tools and agentic coding workflows to learn and contribute to the codebase

By 90 Days — Ship Something Real

• Own your first meaningful deliverable and demonstrate end-to-end execution
• Be fully up to speed with our development process and using AI tools and agentic coding workflows to learn about and contribute to the codebase
• Deliver a project in a small team that touches every relevant part of the codebase, and be ready to troubleshoot production issues throughout the stack

By 6 Months — Multiply Your Impact

• Operate with full autonomy in your domain; your team relies on your judgment
• Have built or deployed at least one AI-assisted workflow that the team adopts
• Lead a full project, owning scoping, architecture, build, and rollout end-to-end
• Identify opportunities to use AI tools and automation to increase leverage and impact in your team
• Deeply understand our market position and communicate clearly in cross-functional discussions

We’re a fast-moving company — the scope and shape of this role will evolve as we do.

WHAT YOU BRING

We’re looking for signal, not checkboxes. Here’s what matters most:

• 7+ years of software engineering experience with a strong backend specialization in a SaaS or startup environment — full-stack capability is valued, but your heart is in the backend
• Practical experience building scalable backend systems top to bottom — ideally in Elixir/Phoenix/PostgreSQL; Go, Erlang, or Clojure backgrounds also considered; a proven ability to learn new technologies quickly is a must if you don’t have Elixir experience
• Deep expertise delivering platform-critical, high-stakes backend projects where robustness, performance, and troubleshooting are non-negotiable
• Day-to-day use of AI tools to enhance personal productivity (e.g., Claude Code or equivalent); bonus for experience building user-facing GenAI features
• Strong user and customer orientation — you understand and optimize user flows, not just code
• Willingness and ability to contribute on the frontend when needed (Phoenix + React)
• 2+ years working with a fully remote, async team
• Excellent written and verbal communication skills in English
• Comfort working in an AI-first environment where intelligent automation and experimentation are part of daily operations, with demonstrated ability to leverage AI tools (e.g., Claude, ChatGPT, or equivalent) to improve productivity and decision-making
• Strong systems thinking — ability to see how your backend work connects to a broader AI-driven platform and enterprise customers

The details: remote work & tech stack

You should be located in the UK, Ireland, or the Netherlands. You are free to choose working hours that suit you best, as long as there is an overlap with your team for most of the day.

Our stack primarily consists of Elixir + PostgreSQL on the backend and Phoenix on the frontend (with some pockets of React). We monitor performance using Sentry, and our platform is hosted on AWS, running on Docker containers defined in Terraform. Our platform is AI-native, and we make extensive use of LLMs in our application. Our code lives on GitHub — in fact, GitHub, Slack and Linear is where most of the collaboration happens. We practice using Loom to demo our work.

HOW WE WORK: AI IS THE DEFAULT

At Workera, AI isn’t a feature we sell — it’s how we operate. Every team member is expected to:

• Use AI daily. AI assistants, copilots, and automation tools are part of your stack — not optional extras. We expect you to actively experiment with new tools and push the boundary of what’s possible in your function.
• Build your own leverage. Our marketers write code. Our PMs build automations. Our ops team deploys agents. If a workflow can be automated, you’re expected to automate it — or work with someone who can.
• Think in systems, not tasks. We value people who build repeatable, scalable solutions over people who grind through one-off work. Your goal is to make your function run smarter, not just harder.

AI fluency is a cultural expectation, not a line item on a job description.

In a nutshell 

Learn while making an impact! This program offers a rare chance to step directly into a real production environment, contributing to systems that operate at scale while strengthening both your technical and behavioral skills. Through the Picnic Tech Academy, you’ll explore topics ranging from Java Clean code to reactive programming and MongoDB, while also developing key capabilities like collaboration and a growth mindset. You’ll learn to balance project priorities, deadlines, and deliverables—building the foundation for a successful engineering career.

Picnic has over 20 Java backend development teams, each highly involved with and essential to all parts of the company. From enabling a smooth shopping experience to ensuring we fulfill our customers’ orders efficiently in our warehouses, there’s a wide range of products to work on. Product teams are also supported by the work of our platform teams on key technologies and infrastructure. 

Also, we don’t hide what we do. Instead, we open-source with the community that helped us grow. Here’s proof: http://picnic.tech

Tricks of the trade

• Growth: Level up your development and behavioral skills through our 6 months Tech Academy and with the guidance of your mentor while applying what you learn directly in your team!
• Contribution: Become a part of one of our product teams from day one and start contributing to Picnic from the get-go
• Ownership: Get to work on increasingly challenging tasks and projects, growing all the time, and working collaboratively with your colleagues
• Our Tech: Java 25 (Reactor and Spring 6), RabbitMQ and Kafka, Maven and Git, PostgreSQL, MongoDB, AWS, Docker, Kubernetes, Terraform, Vault (Hungry for more? Check out https://stackshare.io/picnic-technologies for an overview of our tech stack)

We’re looking for

• You have (or will soon have) a Bachelor’s or Master’s Degree in Computer Science, Artificial Intelligence, Information Technology, Computer Engineering, or a related technical field
• Recent graduates and early-career professionals with up to 1 year of professional experience
• Willingness to learn technologies to create systems at scale
• Your English skills are on point (no Dutch required)
• You are available to start this position full time in September 2026!

Extra credit for:

• Familiarity with Spring, MongoDB, or PostgreSQL
• Relevant working experience/projects alongside your studies

Picnic Perks

✍🏼 Every expert was once a beginner! 

You’ll get plenty of opportunities to challenge yourself and grow, including the Picnic Tech Academy, Lunch & Learn sessions, and tailored soft skills training. We also offer free professional weekly language courses.

💡Make a difference

You’ll work in an awesome startup environment with the freedom to drive your own projects and create a visible impact. Our fully electric vehicles and sustainable business model mean you’ll also be contributing to making the world a better place! 

🫱🏼‍🫲🏾Teamwork makes the dream work

With more than 80 nationalities across 3 countries, you’ll be part of a diverse company with plenty of cool stuff to get involved with, from board game evenings to after-work drinks to our company ski trip and more!

🍎You are what you eat

You’ll get freshly prepared, healthy lunches and snacks (with plenty of vegetarian, vegan, and halal options). Coffee snob? Don’t worry, our amazing Picnic barista has you covered.

🚴🏽Stay healthy 

Mental health is important. As well as having the option to speak with Picnic colleagues who act as confidential advisors, our collaboration with OpenUp gives you easy access to professional psychologists, along with workshops and materials. 

There are plenty of sports communities and events to get involved with, from tennis to yoga, to climbing! 

🔋Attractive package

We offer competitive compensation and a pension plan that looks out for your future self, as well as 25 vacation days per year, so you can recharge your batteries 

🌍Benefits for expats 

It can be daunting starting a new job AND moving to a new country. That’s why we offer lots of support for our many expat colleagues, if you want to find our relocation benefits, see here.

At IMC, technology is not a department; it’s at the heart of everything we do. Developed in-house, our innovative software makes millions of trading decisions daily, and we win by making better and faster decisions than our competition. Our various Python Development teams create scalable business-critical applications, tools and automated tasks to equip IMC’s Amsterdam, London, Zug and Mumbai trading and business support teams.

Your Core Responsibilities

IMC uses a wide variety of technologies. Python is widely used across our tech stack, notably to make it more accessible to our traders, researchers and analysts. As a Python Software Engineer at IMC Amsterdam, you will take part in the development of high-performance trading systems, analytical tools, signals generation, backtesting frameworks, trade management UIs or regulatory surveillance & risk monitoring. Therefore your role will involve collaborating directly and closely with the business and other tech teams, from initially gathering requirements to short iteration cycles to refine the implementation, to integrate user feedback, to voice and implement your improvements and ideas.

All the software you’ll be building is for internal use only, there are no external clients/users and therefore no non-sense requests: the users of your work sit a few meters from you and you have control over the whole development cycle. Curiosity and interest into the trading and financial markets is a key success factor in this role, as you will be working directly on the business logic, in an environment where understanding the business context is primordial.

At IMC we believe in giving a lot of responsibilities quickly, you’ll be working on your goals with a high degree of independence, yet supported by a solid network of mentors, teammates and trading team highly motivated to make sure you are successful and share their passion for trading and technology. In this role, you might end up working on are a wide range of tasks - for example:

• Adding a new signal a trader came up with to our framework.
• Supporting a trading desk in building the data analytics and visualisation tools they need.
• Troubleshooting, debugging or deep diving into performance analysis.
• Teaching others how to use our tech in their own scripts.
• Building and distributing internal python libraries.
• Starting whole new full-stack projects from scratch.

Your Skills and Experience

• We care about 4+ years of working experience as a Software Engineer.
• Deep technical knowledge of Python, you understand its internal workings and know its strength and limitation. We use a range of Python libraries and frameworks (such as FastAPI (AsyncIO), APScheduler, Pandas, Polars, RQ, Pytest, Tensorflow, scipy, xgboost, scikit-learn, numpy, numba, celery).
• Experience with DevOps, databases, big data or frontend frameworks is a plus. (Some examples of tools we frequently work with: Kubernetes, Helm, Docker, Gitlab CI, TypeScript, React, Redis, PostgreSQL, Mongo, Dremio, Apache Iceberg, HDFS, Kafka, Apache Arrow/Parquet).
• A critical mindset and the ability to challenge ideas and solutions, to not take things for granted, validate assumptions and dig into the details to find and cover all corner cases. You’re not afraid to ask questions and to speak up.
• Experience working with financial data is a must, ideally in the financial services industry. The nature of this role requires both affinity and experience to this type of data.

Our tech stack includes an ever-evolving range of systems and technologies, and our engineers have the freedom to choose the best solution for the problem at hand. If a new technology has the potential to add value, we’ll actively invest in exploring, adopting and developing it. 

Why Engineering at Dataiku?

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

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

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

How you’ll make an impact

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

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

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

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

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

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

What you need to be successful 

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

What does the hiring process look like?

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

Why Engineering at Dataiku?

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

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

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

How you’ll make an impact

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

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

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

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

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

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

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

What you need to be successful 

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

What does the hiring process look like?

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

Join us in revolutionizing Observability for Developers!  We’re on a mission to redefine how engineers monitor, debug, and scale their production applications using ClickStack. An open-source platform that transforms telemetry data into actionable insights. Imagine a world where logs, metrics, traces, and session replays come together seamlessly to pinpoint root causes faster than ever before.  If you've ever been jolted awake at 2 AM, frustrated with Grafana, Datadog, or Elastic for not delivering the answers you need, you’ll resonate with the problem we’re solving. And now, you can help us solve it.

We’re hiring a Senior Backend Engineer to help us build a petabyte-scale, high-performance observability platform with a laser focus on crafting an amazing developer experience.

What You'll Do:

• Shape the product: Own and build key backend services and infrastructure that power our observability platform, ensuring reliable, high-throughput data pipelines and APIs that developers depend on every day.
• Engage with the community: Collaborate with open-source contributors and customers, solve their challenges, and incorporate their feedback into our backend architecture and API design.
• Tackle technical challenges: Design and implement scalable backend systems capable of ingesting, processing, and querying petabytes of observability data. You'll build the foundational services that empower engineers to crack production issues like never before.

Who You Are:

• A backend engineer who excels at building reliable, performant services in TypeScript and Node.js.
• A creative problem-solver who thrives in a fast-paced environment.
• Driven to ship features that make a tangible impact for customers.
• Eager to learn and push boundaries, embracing new technologies and approaches.
• Love what you do and are passionate about software.
• Move fast and learn from mistakes.
• Love the freedom to create with minimal interruptions.

What You Bring:

• 5+ years of software engineering experience with a strong focus on backend development, with a preference for building developer tools or infrastructure.
• Strong TypeScript and Node.js skills (experience with Express, Fastify, or similar frameworks).
• Solid understanding of API design, distributed systems, and data modeling.
• Experience with Go is a plus — you'll occasionally contribute to Go-based services.
• Familiarity with containerized environments (Docker, Kubernetes).
• A passion for open source and the developer community.
• Experience creating developer tooling and an eye for how to design for developers.

Bonus Points:

• Experience with ClickHouse, PostgreSQL, or other analytical/OLTP databases.
• Strong opinions on observability tools and a vision for making them 10x better.
• Familiarity with OpenTelemetry, logging pipelines, or metrics infrastructure.
• Experience with SDKs or client library design.
• Exposure to message queues, streaming systems (Kafka, NATS), or event-driven architectures.

About the Role:

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

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

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

Impact You’ll Own:

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

What You Bring:

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

What Makes You Stand Out:

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

Application Deadline:

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

Export Control Requirements:

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

Benefits While Working at Planet:

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

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

CSQ427R82

As a Sr. Technical Solutions Engineer, you will provide technical support for Neon and Databricks Platform-related issues and resolve any challenges involving the Databricks unified analytics platform. You will assist customers in their Databricks journey and provide them with the guidance and knowledge that they need to accomplish value and achieve their strategic goals using our products. They will look to you for answers to everything from basic technical questions to complex architectural scenarios spanning across the entire Big Data ecosystem. You will report to the Senior Manager of Technical Solutions. 

The impact you will have:

• Troubleshoot and resolve complex customer issues related to Neon and the wider Databricks ecosystem
• Provide best practices support for custom-built solutions developed by customers
• Deliver suggestions for improving performance in customer-specific environments
• Assist with issues around third-party integrations with Databricks environment
• Demonstrate and coordinate with engineering and escalation teams to achieve resolution of customer issues and requests
• Participate in the creation and maintenance of company documentation and knowledge articles
• Be a true proponent of customer advocacy
• Strengthen your AWS/Azure and Databricks platform expertise through learning and internal training programs
• Participate in weekend and weekday on call rotation

What we look for:

• A thorough knowledge of PostgreSQL is required. Working and hands-on experience with other SQL-based databases, Data Warehousing/ETL technologies like Informatica, DataStage, Oracle, Teradata, SQL Server, MySQL is desirable 
• Experience of at least one of the following :
• Designing, building, testing, and maintaining Python/Java/Scala based applications, with a thorough knowledge of python.
• Developing with Spark and any of : Big Data, Hadoop, Machine Learning, Artificial Intelligence, Streaming, Kafka, Data Science, ElasticSearch
• Linux/Unix administration skills.
• Hands-on experience with AWS, Azure or GCP.
• Candidates must possess excellent English written and oral communication skills.
• Experience with the "Distributed Big Data Computing" environment.
• Technical degree or the equivalent experience.

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.

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 join our Data Product Team and help power the analytics behind Manychat’s growth.

You’ll work on a high-load, near real-time platform that transforms large volumes of platform data into personalized insights seen by millions of users. The features you build will directly impact activation, retention, and revenue.

As part of a small, high-impact team, you'll own the data platform end to end, including data warehouse and ManyChat platform integrations, high-load APIs, and data aggregation pipelines. You’ll help scale performance, evolve our architecture, and influence Python engineering standards across the company.

If you care about building scalable systems, working close to the product, and seeing measurable business impact from your code, this role is for you.

WHAT YOU'LL DO 🚀

• Build and maintain data platform that power Manychat’s analytics and insights features
• Design and implement async APIs using Python and FastAPI
• Develop and optimize ETL flows that transfer data from DWH (Snowflake) into PostgreSQL for fast and reliable access
• Design caching strategies using Redis to balance performance and data freshness
• Improve system reliability, observability, and performance under high load
• Collaborate closely with product teams across the entire product organization, partnering with all major product domains to deliver data and insights that power key user experiences
• Contribute to architectural decisions as the platform evolves toward more event-driven patterns
• Own features end to end from data modeling and API design to deployment and monitoring
• Help establish engineering best practices for Python services across Manychat

TO SHINE IN THIS ROLE 💥

You’ll need:

• 5+ years of software engineering experience, including 3+ years of deep, hands-on Python expertise. Strong background in designing and building scalable, high-load, production-grade systems with extensive use of asynchronous programming
• Hands-on experience designing and building REST APIs with FastAPI or a similar async framework
• Strong knowledge of relational databases and SQL, preferably PostgreSQL, including query optimization and performance tuning
• Experience working with caching (Redis/Valkey or similar), with a solid understanding of cache invalidation strategies
• Proven ownership of services end to end, including CI/CD pipelines, production deployments, monitoring, and ongoing performance improvements
• Strong understanding of system design and scalable architecture principles, with the ability to reason about reliability, consistency, and data freshness
• Experience collaborating cross-functionally with product and engineering teams and delivering user-facing product features in fast-paced environments
• Clear communication skills and the ability to explain technical tradeoffs while maintaining a high bar for code quality, testing, and maintainability

It would be great if you have:

• Experience building data platforms or analytics products
• Hands-on experience with Snowflake, ClickHouse, or other OLAP dbs
• Familiarity with event-driven architecture patterns
• Experience with Kubernetes, Docker, Helm, Terraform, and AWS
• Experience with observability tools such as Prometheus, Grafana, and OpenTelemetry
• Exposure to AI or machine learning driven product features
• Interest in growing into a Technical Lead role as the team expands

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.

The Control Plane Infrastructure team develops and manages the foundational resources and tools for the Control Plane Platform. This includes compute, storage, networking, security, and a multi-region architecture that provides a reliable and scalable managed Cloud Console experience for ClickHouse Cloud customers. Our team is looking for highly skilled and experienced cloud platform engineers to join our team, who will be responsible for designing, deploying, and maintaining our infrastructure.

What you will do:

• Design, implement and maintain scalable, highly available, and secure cloud-based infrastructure in AWS (EKS, SQS, DocumentDB, Redis, PostgreSQL, Lambdas)
• Experience with containerization technologies (Docker, Kubernetes) and orchestration platforms
• Automate the provisioning of cloud infrastructure using Infrastructure as Code (IaC) tools such as Terraform, AWS CDK, CloudFormation, or ARM templates
• Define and implement strategies for load balancing, auto-scaling, disaster recovery, and failover for cloud environments
• Collaborate with cross-functional teams to ensure seamless integration, scalability, and security of cloud environments
• Enhancing DevX
• Helping with instrumentation of cloud monitoring and alerting solutions
• Work with the security team to implement security best practices, including identity and access management (IAM), network security, encryption, and compliance controls within the cloud infrastructure
• Identify and correct bottlenecks and fix bugs

What you bring along:

• Minimum 6+ years of experience in cloud infrastructure engineering or related roles
• Strong proficiency in Kubernetes, SQS, RDBMS, Node.JS
• Deep understanding of cloud architecture, networking, and security
• Proven experience designing and operating large-scale public and internal APIs
• Excellent problem-solving skills and attention to detail
• Knowledge of CI/CD pipelines

Preferred Qualifications:

• Proficiency with frontend frameworks (React)
• Experience with ClickHouse
• Previous experience in developing analytics or data-intensive applications

WHO WE ARE 🌍

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

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

WHO WE'RE LOOKING FOR 🌟

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

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

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

WHY THE ROLE IS SPECIAL 💡

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

WHAT YOU’LL DO 🤖

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

TO SHINE IN THIS ROLE 💥

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

NICE TO HAVE SKILLS 🛠️

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

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

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

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

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

With my application, I accept the Manychat Privacy Policy.

 Ready to strengthen the technological backbone of the largest media organization in the Netherlands? At WPP Media, we are looking for a Full Stack Software Engineer with a passion for building scalable, robust applications. We are looking for someone with the drive to elevate our platform to the next level, a platform that is essential to the success of our A-list clients. If you have the ambition to lay the technical foundation essential for our clients' growth and to build the basis for our AI-driven future, then you are the engineer we are looking for. 

What will you do as a Full Stack Software Engineer?
As a Full Stack Software Engineer, you will ensure that our software services and applications on our cloud platforms (primarily AWS) are maintained and built. This involves working on both the front-end (React/TypeScript) and the back-end (Python), ensuring our systems are reliable, scalable, and maintainable. In close collaboration with data scientists, product owners, and other engineers, you will build and deploy various solutions, ensuring they are production ready. The development process is supported by our in-house development libraries and a streamlined CI/CD pipeline. A core part of your responsibility will be to translate complex business questions into concrete technical solutions to develop and maintain innovative products. 

Your key responsibilities: 

• Product Development: You will develop, validate, and maintain both the front-end (React, TypeScript) and the back-end (Python) of our applications. You will be able to independently analyze and resolve complex technical issues and proactively propose new solutions and improvements.
• Platform Professionalization: You will design and implement robust solutions for logging, monitoring, and alerting to guarantee the stability and performance of the platform.
• DevOps & CI/CD: You will build and manage automated deployment pipelines with tools like GitHub Workflows, Docker, and Kubernetes.
• Cloud Infrastructure: You will work extensively with cloud platforms (primarily AWS) and manage services such as relational databases (RDS) and serverless functions (Lambda).
• Collaboration & Innovation: You will work closely with data scientists, product owners, and other engineers. You are capable of resolving issues independently and ensuring proper implementation in collaboration with your colleagues. 

Your profile: 

• You have a university-level (WO) work and thinking ability, with a degree in a technical field such as Computer Science or Software Engineering.
• You have at least 3 years of work experience in a similar role as a Full Stack Software Engineer.
• Expertise in front-end development with React and TypeScript.
• Strong programming skills in Python.
• Extensive experience with relational databases (such as PostgreSQL via AWS RDS).
• Demonstrable experience with containerization (Docker) and orchestration (Kubernetes).
• You have experience setting up and maintaining CI/CD pipelines and version control in GitHub (e.g., Workflows).
• You are highly proficient in working with cloud platforms, with a strong preference for AWS. Experience with AWS Lambda is a nice-to-have.
• Analytical & Independent: You can quickly understand a problem, independently propose solutions, and communicate them clearly to your team. 

What do we offer? 

• Flexibility: The option to work from home, flexible working hours, and even the possibility to work abroad (within the EU) for a period of time.
• Growth opportunities: Plenty of room for development in an innovative and dynamic team, with a focus on AI transformation and working with a portfolio of A-brands.
• Access to M Academy: Extensive training and workshops in both hard and soft skills, including dedicated AI training.
• Mental Wellbeing: Access to the Headspace app.
• Travel allowance: Full reimbursement of travel expenses.
• Holidays: 8% holiday allowance and 26 vacation days per year (plus the option to purchase 9 extra days!).
• Hybrid Working allowance: €30 net per month for full-time employment.
• Bring Your Own Device (BYOD): A monthly phone allowance of €57.50 net.
• Lunch facilities: Affordable lunch options in the cafeteria and a barista for freshly made coffee.
• Health insurance: Benefit from our collective health insurance plan. 

Ready for the data challenge?
At WPP Media, part of the global WPP media collective and the largest media organization in the Netherlands, we are building the future of media in the AI era. We bring together the best platform, the most talented people, and the strongest partners to create groundbreaking solutions that help brands grow. Our core values? We are Extraordinary, Open, and Optimistic — always looking for new opportunities and ready to push boundaries. 

Do you see yourself working with data on groundbreaking marketing strategies for the largest brands in the Netherlands? Are you the Full Stack Software Engineer we are looking for to strengthen our team? 

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 🌟

Manychat’s AI Core team turns ML and LLM ideas into production features used in millions of conversations every day. You will work across applied research, prototyping, and production delivery, partnering closely with our Python Platform team and Product to validate ideas quickly and ship high-impact AI workflows.

This role suits someone who loves to build fast, experiment, and take ownership of models, agents, and workflows end to end.

WHAT YOU’LL DO 🤖

• Design and deliver ML/LLM solutions end-to-end: fast prototyping, offline evaluation, and production rollout of models and agent workflows.
• Build and iterate on AI agents (RAG, vector search, memory, tools) using clear benchmarks and product metrics to guide improvements.
• Choose and implement the right approach for each problem (classical ML, LLMs, RAG pipelines, or agent architectures), defining data and labeling needs where required.
• Work closely with the Python Platform team to productionize your solutions with clean service boundaries, monitoring, and scalability in mind.

TO SHINE IN THIS ROLE 💥      

          Machine Learning & LLM Expertise

• Solid understanding of ML algorithms, metrics, search, RAG, and agent design. 
• Experience with frameworks like LlamaIndex, LangChain, or similar.
• Hands-on tuning with PyTorch, TensorFlow.
• Experience with LLM evaluation and benchmarking.
  
  Engineering Skills
• Strong Python engineering background, ideally three or more years in production environments.
• Experience building backend services (FastAPI, Docker, Pydantic, PostgreSQL).
• Familiarity with cloud environments and monitoring is a strong plus.
  
  Collaboration & Ownership
• Clear communication in English.
• Ability to work independently, iterate fast, and collaborate with product, data, and engineering teams.
• Product mindset and comfort working in a fast-moving environment.

WHAT WE OFFER 🤗

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

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

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

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

With my application, I accept the Manychat Privacy Policy.

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 🌟

Manychat’s AI Core team turns ML and LLM ideas into production features used in millions of conversations every day. You will work across applied research, prototyping, and production delivery, partnering closely with our Python Platform team and Product to validate ideas quickly and ship high-impact AI workflows.

This role suits someone who loves to build fast, experiment, and take ownership of models, agents, and workflows end to end.

WHAT YOU’LL DO 🤖

• Design and deliver ML/LLM solutions end-to-end: fast prototyping, offline evaluation, and production rollout of models and agent workflows.
• Build and iterate on AI agents (RAG, vector search, memory, tools) using clear benchmarks and product metrics to guide improvements.
• Choose and implement the right approach for each problem (classical ML, LLMs, RAG pipelines, or agent architectures), defining data and labeling needs where required.
• Work closely with the Python Platform team to productionize your solutions with clean service boundaries, monitoring, and scalability in mind.

TO SHINE IN THIS ROLE 💥     

          Machine Learning & LLM Expertise

• Solid understanding of ML algorithms, metrics, search, RAG, and agent design. 
• Experience with frameworks like LlamaIndex, LangChain, or similar.
• Hands-on tuning with PyTorch, TensorFlow.
• Experience with LLM evaluation and benchmarking.
  
  Engineering Skills
• Strong Python engineering background, ideally three or more years in production environments.
• Experience building backend services (FastAPI, Docker, Pydantic, PostgreSQL).
• Familiarity with cloud environments and monitoring is a strong plus.
  
  Collaboration & Ownership
• Clear communication in English.
• Ability to work independently, iterate fast, and collaborate with product, data, and engineering teams.
• Product mindset and comfort working in a fast-moving environment.

WHAT WE OFFER 🤗

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

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

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

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

With my application, I accept the Manychat Privacy Policy.