The Role

Your responsibilities will include:

• Ensure fault-tolerance, scale, and uninterrupted operations for the service.
• Use cutting-edge cloud technology to solve a variety of infrastructure problems.
• Implement and improve CI/CD processes.

We expect you to have:

• Solid experience with programming languages (like Go, Python, or C++);
• Solid understanding of classic algorithms and data structures;
• Commercial experience with and deep understanding of Unix systems and network technology;
• Experience with systems for containerization and configuration management (Ansible, Salt, Terraform, Docker, K8s, Helm).

It will be an added bonus if you have:

• Desire to be involved in backend development;
• Experience designing, developing, and running high-load distributed systems;
• Commercial experience with a variety of cloud platforms.

We conduct coding interviews as part of the process.

The role

We seek an experienced Specialist Solutions Architect to support AI-focused customers leveraging Nebius services. In this role, you will be a trusted advisor, collaborating with clients to design scalable AI solutions, resolve technical challenges and manage large-scale AI deployments involving hundreds to thousands of GPUs.

You’re welcome to work on-site in Amsterdam or remotely from any other EU country.

Your responsibilities will include:

• Designing customer-centric solutions that maximize business value and align with strategic goals.
• Building and maintaining long-term relationships to foster trust and ensure customer satisfaction.
• Delivering technical presentations, producing whitepapers, creating manuals and hosting webinars for audiences with varying technical expertise.
• Collaborating with engineering and product teams to effectively prioritize and relay customer feedback.

We expect you to have:

• 3+ years of experience with cloud technologies in MLOps engineering, Machine Learning engineering or similar roles.
• Strong understanding of ML ecosystems, including models, use cases and tooling.
• Proven experience in setting up and optimizing distributed training pipelines across multi-node and multi-GPU environments.
• Hands-on knowledge of frameworks like PyTorch or JAX.
• Excellent verbal and written communication skills.

It will be an added bonus if you have:

• Expertise in deploying inference infrastructure for production workloads.
• Ability to transition ML pipelines from POC to scalable production systems.

Preferred tooling:

• Programming Languages – Python, Go, Java, C++
• Orchestration – Kubernetes (K8s), Slurm
• DevOps Tools – Git, Docker, Helm
• Infrastructure as Code (IaC) – Terraform
• ML Frameworks and Libraries – PyTorch, TensorFlow, JAX, HuggingFace, Scikit-learn

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

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

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

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

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

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

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

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

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

About Nebius

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

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

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

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

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

The role 

We are seeking a highly skilled Systems Engineer (Cloudmeter) to join our team to support benchmarking of GPU platforms for machine learning and AI workloads. You will play a critical role in evaluating the performance of GPU-based hardware for various deep learning and AI frameworks, enabling data-driven decisions for platform optimization and next-generation hardware development.

In this position, your responsibility will be to:

• Work closely with hardware, development teams to profile and analyze GPU performance at the system and kernel level.
• Evaluate and compare GPU performance across different platforms, architectures, and software stacks (e.g., CUDA, ROCm).
• Perform acceptance testing for new GPU clusters, ensuring hardware and software meet performance, stability, and compatibility requirements for AI workloads.
• Perform experiments across diverse GPU system configurations to assess the impact of varying interconnect strategies and system-level optimizations on performance and scalability.

We expect you to have:

• Proficient in Unix/Linux, plus Python and Bash for automation.
• Good understanding of the GPU stack: CUDA,NCCL, drivers, and relevant libraries
• Proven ability to troubleshoot complex system issues including hardware, software, and networking problems.
• Familiarity with containerized environments (e.g., Docker, Kubernetes).

Ways to stand out from the crowd:

• Experience with modern deep learning frameworks (PyTorch, JAX, vLLM, Tensort-LLM)
• Experience with job schedulers and resource managers (Slurm, Volcano, etc.).

The role 

We are looking for a Senior Frontend Developer to design and implement internal user interfaces using React and TypeScript. These interfaces support automation workflows that enable teams to efficiently manage hardware infrastructure of our company - tracking assets, orchestrating data center deployments, provisioning and configuring servers, installing operating systems and drivers, and resolving issues across distributed environments. You will contribute to the full product lifecycle - from concept and UX mockups to production deployment in container-based environments (Docker, k8s).

Your responsibilities: 

• Build and maintain a group of applications written in React and TypeScript.
• Design and refine UI/UX flows to improve usability and visual consistency.
• Translate product requirements and UX concepts into interactive interfaces. 
• Contribute to continuous improvement of the frontend architecture and developer experience.

We expect you to have:

• 5 years of experience with software development in one or more programming languages.
• Strong proficiency in React, TypeScript, HTML, and CSS.
• Experience with state management.
• Familiarity with UX design principles.

It would be nice if you have:

• Exposure to full-stack and DevOps concepts (Python, Docker, Linux, modern networks).
• Understanding of reactive programming principles.

We conduct coding interviews as part of the process.

The Role

Your responsibilities will include:

• Ensure fault-tolerance, scale, and uninterrupted operations for the service.
• Use cutting-edge cloud technology to solve a variety of infrastructure problems.
• Implement and improve CI/CD processes.

We expect you to have:

• Solid experience with programming languages (like Go, Python, or C++);
• Solid understanding of classic algorithms and data structures;
• Commercial experience with and deep understanding of Unix systems and network technology;
• Experience with systems for containerization and configuration management (Ansible, Salt, Terraform, Docker, K8s, Helm).

It will be an added bonus if you have:

• Desire to be involved in backend development;
• Experience designing, developing, and running high-load distributed systems;
• Commercial experience with a variety of cloud platforms.

We conduct coding interviews as part of the process.

The Role

Your responsibilities will include:

• Ensure fault-tolerance, scale, and uninterrupted operations for the service.
• Use cutting-edge cloud technology to solve a variety of infrastructure problems.
• Implement and improve CI/CD processes.

We expect you to have:

• Solid experience with programming languages (like Go, Python, or C++);
• Solid understanding of classic algorithms and data structures;
• Commercial experience with and deep understanding of Unix systems and network technology;
• Experience with systems for containerization and configuration management (Ansible, Salt, Terraform, Docker, K8s, Helm).

It will be an added bonus if you have:

• Desire to be involved in backend development;
• Experience designing, developing, and running high-load distributed systems;
• Commercial experience with a variety of cloud platforms.

We conduct coding interviews as part of the process.

About the Role

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

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

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

Responsibilities

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

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

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

Requirements

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

Preferred

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

About Together AI

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

Equal Opportunity

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

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

This is Adyen

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

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

Sitting at the intersection of Data Engineering, Backend Engineering, and Systems Engineering, Data Platform Engineers at Adyen build the foundational layer of tooling and processes for our on-premise Big Data Platforms. These tools support 10s of products, 100s of developers, and 1000s of daily jobs that add to Adyen’s strong portfolio of capabilities.

You’ll collaborate with data engineers and ML scientists and engineers to build and roll-out these tools. Along with DataOps Engineers, you’ll develop and operate multiple big data platforms, of which the biggest is 500+ nodes, with 25k+ CPU cores, 240+ TBs of RAM, and 23+ PBs of storage capacity, running tens of thousands of spark jobs a day.

What you’ll do

You’ll be asked to both build new tools and improve the existing tooling. This role is perfect for you if you're passionate about few of the following:

• Develop and maintain scalable and high performance big data platforms.
• Work with distributed systems in all shapes and flavors (databases, filesystems, compute, etc.)
• Identify opportunities to improve continuous release and deployment environments
• Build or deploy tools to enhance data discoverability through the collection and presentation of metadata
• Introduce and extend tools to enhance the quality of our data, platform-wide
• Explore and introduce technologies and practices to reduce the time to insight for analysts and data scientists
• Develop streaming processing applications and frameworks
• Experience in infrastructure and large-scale private cloud systems

For the currently open positions, the immediate focus will be the OLAP ecosystem (Druid, Clickhouse, Pinot), or the Data Engineering ecosystem (Data contracts, validations, optimization tooling, kafka ingestion tooling).

Who you are

• Fluency in Python. An addition of Java, Golang, or Rust is also appreciated.
• Team player with strong communication skills
• Ability to work closely with diverse stakeholders you enable (analysts, data scientists, data engineers, etc.) and depend upon (infrastructure, security, etc).
• Experience developing and maintaining:
• Distributed data and compute systems like Spark, Trino, Druid, etc
• Data modelling tooling 
• DevOps pipelines and development ecosystems.
• Real-time and batch data pipelines (via Kafka, Spark streaming) with an eye for frameworks, and emphasis on user friendliness and quality.
• Kubernetes ecosystem (k8s, docker), and/or Hadoop ecosystems (Hive, Yarn, HDFS, Kerberos).

Our Diversity, Equity and Inclusion commitments 

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

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

What’s next?

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

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

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.

This is Adyen

At Adyen, we’re engineered for ambition. We empower our teams with the culture and support they need to own their careers. The people of Adyen are motivated problem-solvers who tackle unique technical challenges at scale, delivering innovative and ethical solutions to help the world’s best businesses achieve their ambitions faster, and we’re looking for a motivated Senior Machine Learning Engineer to join our team in Amsterdam.

Senior Machine Learning Engineer

The Customer Risk team is at the front line of this platform, building the next-generation systems required to assess and mitigate risk in real time. They are responsible for keeping our platform safe, while maintaining a seamless experience for our legitimate global merchants.

They operate at the critical intersection of high-stakes security and massive scale. By leveraging Adyen’s global payment flow, they are building a greenfield risk engine from scratch that moves beyond traditional detection to sophisticated, real-time entity assessment. We are looking for our first Senior Machine Learning Engineer to lead this effort and help architect the future of risk at Adyen.

In this role, you will:

• Lead – Act as the foundational ML Engineer for the Customer Risk team, taking the lead on the next-generation risk system from initial ideation and design to full production deployment.
• Build – Design and scale production-ready ML models for prediction, ranking, and embedding. You will own the end-to-end lifecycle, ensuring that our risk assessments are backed by robust, deep learning systems that can operate at Adyen’s massive scale.
• Architect – Develop the core ML infrastructure required to power our risk engine. You will build and manage the data processing pipelines, model evaluation frameworks, and deployment strategies that allow us to assess risk in real time with high reliability.
• Innovate – Bring our existing ML capabilities to the next level by introducing advanced software design and modular architecture to our modeling domains. You will bridge the gap between pure research and engineering excellence, ensuring our models are as maintainable as they are performant.
• Collaborate – Work closely with a high-performing product team and leadership to drive the risk roadmap. You will translate complex risk signals into clear business outcomes, directly impacting the safety and integrity of the Adyen platform.

Who You Are:

• You have an Engineering-First mindset. You treat Machine Learning systems as core production software, with 5+ years of experience ensuring that prediction, ranking, and deep learning models are as robust and reliable as any other part of the stack.
• You are a Software Craftsperson. You have 5+ years of experience navigating the full software development lifecycle, from initial testing to global launches. You are deeply proficient in Python, Java, or C/C++, focusing on writing clean, production-ready code that scales.
• You are an expert in the ML ecosystem. You have deep, hands-on experience with the standard Python data science toolkit—utilizing frameworks like TensorFlow, PyTorch, and XGBoost/LightGBM for modeling, and Spark, SQL (Trino), and Pandas for large-scale data manipulation.
• You are fluent in MLOps and Infrastructure. You don’t just build models; you operationalize them using MLFlow, Airflow, and Argo-workflows. You are comfortable working within modern infrastructure environments, leveraging Kubernetes and Docker for containerization, and ensuring system health through Prometheus and Grafana.
• You work end to end. You don’t just train models; you build the world they live in. You have 5+ years of hands-on experience designing end-to-end ML lifecycles, including data processing, model evaluation, deployment, and the fine-tuning required to keep systems performing at scale.
• You balance complexity with pragmatism. You possess 3+ years of dedicated software design and architecture experience. You understand how to build modular, maintainable systems in diverse modeling domains for the long-term.
• You are a Technical Leader. You take ownership of the roadmap, moving projects from ideation to production with confidence. You can translate high-level architectural needs into shipping solutions and have a proven track record of launching software products that deliver tangible impact.

Our Diversity, Equity and Inclusion commitments 

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

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

What’s next?

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

This role is based in Amsterdam. Our culture is built on the foundation of in-person collaboration, where our teams work side-by-side to solve unique challenges and accelerate growth. 

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

As a Trading Systems Engineer you’ll collaborate with trading, infrastructure, and software development teams, working closely with exchanges, traders, and developers to support ongoing improvements and keep our trading technology performing at its best.

As markets evolve toward 24×7 trading, we’re expanding coverage to ensure our systems run smoothly during high impact periods that extend beyond the traditional Monday–Friday schedule. In this role, you’ll have the opportunity to work a non-traditional 5-day shift, depending on what best fits your schedule, for example Tuesday to Saturday, including Saturday working. This flexible coverage model allows you to make a critical impact during peak trading hours while enjoying off days during quieter parts of the week. 

What You’ll Be Working On:

• Keeping trading systems healthy and available by proactively spotting and resolving potential issues
• Responding to trader and engineer requests with both urgency and understanding of the bigger operational context
• Participating in the onboarding of new desks and systems, thinking ahead about how they’ll fit into the broader ecosystem
• Learning the trading environment deeply so you can anticipate challenges and suggest improvements

 What we Value:

• Intent over Instruction: we’ll share what we’re trying to achieve; you’ll help determine the best way to get there
• Responsibility and trustworthiness: you follow through and communicate progress and results clearly
• Continuous learning and adaptability: when conditions change, you adjust while keeping the mission in mind
• Collaboration: you seek input when needed but are comfortable making informed decisions yourself

About You:

• You enjoy diagnosing problems and thinking creatively about solutions
• You’re excited about fast-moving environments and want to see your work make an impact quickly
• You learn by doing and feel comfortable diving into unfamiliar technology

Qualifications & Skills:

• 2+ years of experience in trade support, site reliability engineering, or a related technical role
• Bachelor’s degree in computer science, engineering, or related STEM field
• Experience with maintaining and troubleshooting complex distributed systems
• Demonstrated knowledge of network communications, including use of multicast networking
• Exposure to containerized applications (e.g., Docker, Kubernetes) is a plus
• Experience with incident response and root cause analysis
• Ability to coordinate multiple priorities under time pressure
• Excellent written and verbal stakeholder communication skills
• Familiarity with programming languages (e.g., Python, Go, Bash, PowerShell) for basic automation tasks
• Competence in a broad range of technologies, spanning cloud platforms, containerization, monitoring/alerting systems, and distributed messaging platforms (e.g., AWS, Kubernetes, Docker, Splunk, Prometheus, Grafana, RabbitMQ)
• Experience with Linux/Unix environments
• Prior experience supporting electronic trading systems preferred.

Schedule: This position will require working on Saturdays and providing holiday coverage as needed by the department.

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

#LI-MM1

DRW is a technology-driven, diversified principal trading firm. We trade our own capital at our own risk, across a broad range of asset classes, instruments and strategies, in financial markets around the world. As the markets have evolved over the past 30 years, so has DRW – maximizing opportunities to include real estate, cryptoassets and venture capital. With over 2000 employees and offices around the world, we work together to solve complex problems, challenge consensus and deliver meaningful results. It’s a place of high expectations, deep curiosity and thoughtful collaboration.

We are seeking a Software Engineer to join our Unified Platform (UP) organization.  UP consolidates data and technologies into a comprehensive solution, accelerating time to market. Optimizing decision-making and research, our platform simplifies implementing new ideas, enhancing our competitive edge.

As a Software Engineer on one of the Unified Platform teams, you'll be part of a tight knit team of software engineers working closely with internal users (analysts, quants, traders) to develop innovative systems that enable research and trading. You'll experiment with emerging technologies to process data at scale. You’ll wrestle a mountain of data into human understandable insights. 

We care deeply about preserving a respectful and diverse team culture. We are a group of polyglots and technologists always seeking to find the right tool for each problem, even if that means learning something new or reviving something old.  We value business impact and outcomes over process, and we make decisions based on data.  We strive to adapt quickly as business priorities change. 

What you’ll do in this role:

• Develop tools to enable the business to rapidly embrace new opportunities in global markets
• Partner closely with internal customers to understand their needs and build intuitive self-service tools
• Develop software for large scale data acquisition, storage, accessibility, and visualization
• Work with a team to maintain and extend our global markets reach
• Learn about market microstructure, financial instruments, and markets in which DRW participates or wants to participate in

This could be a good fit if you:

• Are motivated to solve hard problems with deceptively simple solutions
• Think a lot about user experience and try to really understand end users’ jobs and pain points
• Think a lot about APIs, modular design and testing
• Love refactoring and keep trying until you find a better answer
• Enjoy making the “right way to do it” the path of least resistance
• Have made a random tool for yourself…and then peers ask for it…then other teams ask for it…
• Are fiercely proud of your project’s reliability, performance and ease of maintenance
• Are excited to learn about financial markets, trading, etc.

What we need on the team: 

• At least 2-3 years of platform-level software development experience
• Strong computer science fundamentals; a degree in Computer Science or equivalent work experience
• Strong experience with Java, Python or any modern programming language
• Experience processing high volumes of data at scale
• Excellent analytical and problem-solving skills
• Comfort working within a globally-distributed team
• A background in some of the following a bonus:
• Java experience
• Python experience
• Ruby experience
• Big data technologies: Spark, Trino, Kafka
• Financial Markets experience
• SQL: Postgres, Oracle
• Cloud-native deployments: AWS, Docker, Kubernetes
• Observability: Splunk, Prometheus, Grafana 

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

#LI-TL

The Role

• You will help build Connect, our consumer-facing hosted checkout and subscription management service, and related projects to deliver the best experience for our customers and their users.
• You will bring new ideas to directly shape our app development and products beyond our established work.
• You will work with a modern tech stack using Next.js, React, TypeScript and Tailwind CSS.
• You will use your skills for Frontend and Backend technologies built on top of Next.js.
• You will take ownership of features from planning and implementing to shipping and optimizing.
• You will work closely with our UI/UX team to develop the best possible experiences for our users.
• You will help design maintainable and scalable software architectures.
• You will give feedback, ideas, and code reviews to your colleagues.
• You will collaborate with colleagues across the engineering organization through cross-functional working groups and our RFC process.

Salary range: €85k - €120k.

What We Are Looking For

• You have advanced experience building web apps using React. You are a TypeScript pro, know your way around Next.js, and can implement common and advanced React patterns. You’ve been doing this for 5+ years. Working with git is natural for you.
• You enjoy building best-in-class experiences. You know what makes apps excellent, you can give your input and are able to implement the best possible UX.
• You have built and maintained scalable apps. You love to build things for scale and have experience in designing app architectures and writing high-quality code.
• You enjoy building a product from scratch. This means high involvement in the design process and understanding what customers want and users need.
• You love learning technologies as you go. You always want to find the right tool for the job, and not only follow what you already know.
• You care about more than engineering quality. Whatever you do, needs to have a business impact. You can make trade-offs between speed and quality.
• You are an all-rounder: You're fluent with RESTful APIs, worked with Docker, GCP, GitHub Actions, Cypress, or Testing Library, and have some experience with Ruby on Rails.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

At Workwize, we’re helping IT teams to easily equip their remote and global teams with all necessary IT equipment. Our automated SaaS platform simplifies hardware deployment, management, and retrieval with fast, reliable deliveries in 100+ countries.

With 50.000 users and 120.000 devices under management, we’re solving hybrid work challenges like laptop deliveries, returns and equipment tracking, allowing IT teams to focus less on manual hassles and more on strategic initiatives.

Join our team to help shape the future of global collaboration. At Workwize, your work will make a real impact in building smarter, more connected workplaces worldwide.

LinkedIn has also recognized Workwize as one of the Top 10 Startups for 2025 in the Netherlands!

About the Role

We are looking for Laravel focused full-stack engineers to join our product team as Full Stack engineer in Amsterdam. We’re a company in hyper growth fase, with a robust product that thousands of people use to setup their remote workspaces.

We are looking for someone who will able to join our team of both remote and hybrid engineers working on both front-end and back-end positions in making the right architectural decision, and bringing our platform to the next level.

Together with your team you will work on building best-in-class product experiences for customers. You will be working together with the team create and design your own re-usable APIs and components.

Our core platform is built on Laravel (backend) and React.js (frontend). We are constantly coming up with new features to continue building our platform and expand our product offering.

Required Skills

• At least a Bachelor with background in tech or equivalent based on work experience
• 6+ years work experience with the Laravel and React frameworks
• Experience building applications with Javascript/Typescript, PHP, HTML5, CSS and MySQL 8
• Experience mentoring and supporting the professional growth of fellow engineers
• Experience working with large development teams
• Clearly explain complex technical concepts to non-technical audiences
• Strong track record of leading technical projects and coordinating teams of 3+ engineer
• Passionate about usability, user experience, beauty and elegance of UI's
• Eager to learn, discuss and share knowledge with the rest of the teams
• Nice to have: knowledge of Kubernetes, Docker, and other tools user in DevOps
• Absolute fan of TDD and CI/CD pipelines
• Background in product-based companies with multiple product and engineering teams
• Proven track record of driving engineering initiatives that impacted other teams or the wider organization

The Right Mindset

• You’re an engineer, always interested in new technologies, pushing your boundaries and challenging others.
• You're fluent in business English, both written and verbal
• Critical thinking and initiative: Hands-on, nothing-is-impossible mindset
• Enjoy working with teams with multidisciplinary backgrounds
• Experience working in dynamic environments, such as a startup or scaleup environment
• Strong user-orientation and communication skills
• Strong presentation skills
• Pro-active attitude, go-get mentality
• Analytical, troubleshooting skills
• Structured, able to clearly define, prioritize and plan your own tasks
• Commitment to deliver quality (first time right) and on-time
• Motivated and enthusiastic team player, supporting your colleagues
• Keen to learn and further develop your expertise

Engineering at Workwize:

Within this role you will get to make a positive impact and directly contribute to the improvement of remote working for companies around the world. At Workwize, we’re revolutionizing how businesses support their global teams. Are you a person who likes to build software products for cool clients such as Otrium, Mollie and Catawiki? Then the Staff Engineer role at Workwize is something for you!

Workwize offers

• Flexible hybrid work environment.
• Top-notch tools and equipment provided.
• Vibrant, entrepreneurial culture with opportunities for growth.
• Off-sites and multi-yearly team bonding events.
• Team lunches and surprise events to keep things fun.
• Pension scheme.
• Classpass corporate membership. 

Our Team  

Becoming part of Workwize means making an impact. We make sure that we will contribute to the change in the way of working. For us it is also important that we make an impact on our employees, that they feel challenged and ease. We consist of a rapid growing and ambitious team with all different backgrounds. Entrepreneurs, Operational specialists, Developers, Sales gurus you can find them all at Workwize and are always on the look-out for the next original ideas to reach more consumers and create the best value for our customers.  

We are looking forward to meeting you and discover if there is a match with the Workwize team! 

Summary

As a Technical Account Manager (TAM), you’ll be responsible for planning and executing strategies to drive customer adoption and use of the Wiz platform.

Ideally based in The Netherlands, you will provide both strategic and hands-on technical guidance to customers throughout the Wiz journey, from onboarding to operationalization.

Technical expertise and strong customer-facing skills will be essential in address both the business and technical needs of our customers. Serving as the bridge between customers and the broader Wiz team, you'll streamline collaboration between Product Management, Sales, Engineering and Support for a cohesive customer experience.

Join Wiz as a TAM to contribute to customer success and to be a part of an innovative and collaborative company that values excellence and growth.

What you’ll do

• Provide customers with expert guidance on deployment, operational best practices, and assist in establishing a Wiz Center of Excellence.
• Serve as the primary Wiz liaison for technical questions or escalations, collaborating with Support, Product Management, and other relevant teams.
• Contribute to workshops aimed at helping customers unlock the full value of the Wiz platform.
• Develop trusted advisor relationships and establish a regular cadence with customer stakeholders from practitioners to C-level, with a focus on increasing adoption, ensuring retention, and fostering satisfaction.
• Help customers develop Success Plans, outlining critical goals and key performance indicators, and provide guidance in achieving these objectives.
• Measure customers’ achievement of these key performance indicators and report those both internally and externally.
• Identify and address technical issues to ensure high levels of customer satisfaction.
• Collaborate with Engineering and Support teams to resolve technical escalations quickly and efficiently.
• Advocate for customer needs across various departments (product management, support, ...).
• Offer insights regarding the availability of new features in Wiz.
• Program manage account escalations effectively.
• Collaborate with the Wiz Sales and Renewal teams to secure contract renewals.
• Assist in identifying opportunities for expanding Wiz usage across the customer’s organization.
• Maintain up-to-date functional and technical knowledge of the Wiz platform.
• Continuously monitor news related to new & emerging cloud security threats.
• Grow your knowledge of the Wiz ecosystem (Cloud Service Providers, Technology partners, ...)

What you’ll bring

• 3+ years of experience in technical customer facing roles, for example: Technical Account Manager, Professional Services, Solutions Engineering, Technical Support, Customer Success Engineer.
• Strong understanding of cloud services, architectures, and security best practices, with CSP level certifications (e.g., Certified Solutions Architect, Certified DevOps Engineer) preferred.
• Familiarity with container technologies (Docker, Kubernetes) and the security considerations associated with them.
• Strong problem-solving skills, with the ability to troubleshoot complex technical issues and drive resolution.
• Proven track record of building and maintaining relationships with enterprise clients, driving customer success, and exceeding performance targets.
• Excellent communication and interpersonal skills, with the ability to effectively engage with stakeholders at all levels of an organization.
• B.S. in Computer Science, Engineering, or similar field, or equivalent experience.
• Fluent English and Portuguese

This is Adyen

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

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

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

What you’ll do

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

Who you are

You have experience in:

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

Nice to have:

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

You are:

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

Our Diversity, Equity and Inclusion commitments 

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

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

What’s next?

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

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

C++ Software Engineer 

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.

IMC’s Amsterdam-based C++ Execution development teams work on software that sits directly in the latency-critical loop of our technology stack and touches every part of our organisation. From ensuring our connectivity to the market and handling massive amounts of data, to implementing complex trading algorithms and integrating advanced hardware solutions.

Your Core Responsibilities:

As a software engineer, you’ll work in multidisciplinary teams alongside other engineers as well as traders, researchers, and quants to deliver challenging projects, while taking ownership for end-to-end product development – from requirements gathering to production. You’ll write reliable, high-performance software while balancing time to production with quality and testability. Advanced automated testing and daily deployments will allow you to achieve agile and incremental benefits. Within a complex landscape of varying systems and technologies, you’ll be constantly challenged to consider trade-offs between latency, throughput, simplicity, scalability and maintainability.

• Coding, developing, testing, deploying and maintaining applications and automations for Trading Teams and/or Hardware Development and Execution Teams.
• Working through internal client requests. Gathering details, requirements and feedback from a range of internal stakeholders in order to implement creative automation solutions using innovative coding practices.

Your Skills and Experience:

• Minimum 5+ years professional working experience as a software engineer post graduation
• Strong programming skills in C++. Experience in the latest versions of C++ is highly desirable
• Familiarity with Python scripting
• Familiarity with Docker and Kubernetes
• Comfortable in Linux environments
• Experience gathering business requirements, communicating with key stakeholders and delivering solutions quickly
• The ability to work on greenfield projects under minimal supervision and to take full ownership of the applications you build
• A high degree of flexibility and adaptability: willing and able to deal with uncertainty and ambiguity in a rapidly evolving environment
• Strong troubleshooting and diagnostic skills; ability to solve problems creatively and proactively
• Prior knowledge of trading / capital markets is not required. Curiosity and a willingness to learn is.

Responsibilities

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

 In this role, you will also be responsible to:

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

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

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

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

• Contribute in all phases of the development lifecycle.

• Provide code reviews to your teammates.

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

• Evaluate and propose improvements to existing systems.

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

• Help maintain code quality, organization and automatization.

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

Requirements

Qualifications / Experience / Technical Skills

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

• Excellent understanding of distributed systems patterns and algorithms.

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

• Excellent understanding of network protocols and stacks.

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

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

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

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

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

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

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

Optional

• Background in GOlang, Rust, WASM.

• Background in network programming.

• Background in Kotlin/Multiplatform. 

• Background in application, data security.

• Deep knowledge of physical DB design.

• Experience of working with Docker and other isolation technologies.

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

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

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

Soft Skills / Personal Characteristics

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

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

(REQ ID: 2343)

The Role

As a Senior Platform Engineer at Gigs, you'll work at the foundation of everything we build. You'll design, build, and operate the infrastructure and developer tooling that powers our connectivity and payments platform — enabling product teams to ship faster, more reliably, and at scale.

Our Foundation team owns the systems that every engineer at Gigs depends on: CI/CD pipelines, cloud infrastructure, observability, deployment tooling, and the shared platform services that keep our product running. You'll take ownership of complex infrastructure challenges end-to-end and drive them to production with a high bar for reliability and developer experience.

This is a role for someone who cares deeply about the craft of platform engineering — who gets energy from making other engineers more productive, who thinks in systems, and who isn't satisfied until the solution is both robust and elegant. You'll be joining a small, high-impact team where your work will directly shape how Gigs scales over the next few years.

What You Will Do

• Own and improve Gigs' cloud infrastructure, ensuring our platform is reliable, scalable, and cost-efficient as we grow.
• Design and build internal developer tooling and platform services that accelerate how product teams ship — from CI/CD pipelines to deployment workflows to local development environments.
• Drive improvements to our observability stack, making it easy for every engineer to understand system behavior, debug issues, and respond to incidents with confidence.
• Take complex infrastructure problems end-to-end: scoping, designing, implementing, and operating solutions in production.
• Collaborate closely with product engineering teams to understand their pain points and build platform capabilities that unblock them.
• Contribute to our infrastructure-as-code practices, ensuring our cloud environments are reproducible, auditable, and version-controlled.
• Participate in on-call rotations, incident response, and post-mortems — and use what you learn to make our systems more resilient.
• Raise the bar for platform engineering quality through code reviews, documentation, and advocating for best practices across the team.

What We Are Looking For

• You have 5+ years of professional software engineering experience, with meaningful time spent on infrastructure, platform, or DevOps/SRE work in a production environment.
• You have experience designing and building a platform layers e.g. centralised authentication, observability, routing logic, or API versioning which other product teams integrate against or build on top of.
• You have hands-on experience with cloud platforms (GCP preferred) and infrastructure-as-code tools like Terraform. You understand networking, compute, and storage at a level that lets you make good trade-offs.
• You have experience building and maintaining CI/CD pipelines and deployment systems. You care about developer experience and know that a great platform is one that engineers actually want to use.
• You think in systems. You can reason about distributed architectures, understand failure modes, and design for reliability and observability from the start.
• You enjoy building products from the infrastructure up. You care about finding the right solution to internal customer needs, and you're comfortable taking ownership and delivering.
• You communicate clearly and collaborate well. You can explain infrastructure decisions to product engineers, write useful documentation, and contribute to technical discussions with confidence.
• You care about more than just engineering — you want to see the business impact of everything you do, and you know how to make pragmatic speed/quality trade-offs.
• You have a growth mindset when it comes to tooling and practices. You stay curious about how the industry is evolving — including AI-assisted development — and you're thoughtful about adopting what makes you and your team more effective.

Bonus Points If

• You have experience with our stack: GCP (cloud run), Docker, Terraform, Ruby on Rails, Go, PostgreSQL, Kafka, PubSub.
• You have worked in fintech, payments, telecom, or other regulated industries where reliability and compliance matter.
• You have experience building developer-facing platforms or internal tooling at a high-growth startup (Series B–D).
• You have contributed to open-source infrastructure tooling or have a track record of improving developer productivity at scale.
• You use AI tooling as part of your engineering workflow and have developed a practical sense for where it adds value and where it doesn't — for example, using it for infrastructure scaffolding, debugging, exploring unfamiliar APIs, or drafting documentation, while knowing when to rely on your own judgment.

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.

The Impact You'll Drive

As a Senior ML Engineer (Speech Synthesis), you’ll be a founding member of the team building Telnyx’s next-generation speech synthesis systems. This is a greenfield opportunity — you’ll define the stack, architecture, and best practices for training and deploying state-of-the-art multilingual text-to-speech (TTS) models that power our voice AI agents.

You’ll build everything from distributed training pipelines to inference services that generate ultra-low-latency, lifelike voices across dozens of languages. Your work will bridge research and production — shaping how millions of people experience real-time conversational AI.

What You’ll Work On

• Own the stack from day one: Design and implement the ML training and inference pipelines for multilingual speech synthesis.
• Low-latency TTS: Engineer systems optimized for real-time, streaming speech generation with sub-100ms response targets.
• Train cutting-edge models: Build and fine-tune multilingual TTS systems using modern architectures — including LLM-based, diffusion, and flow-matching approaches.
• Massive-scale data processing: Develop pipelines for ingesting, aligning, and normalizing text, audio, and phonetic data across dozens of languages.
• Experimentation at scale: Run distributed training across multi-node GPU clusters, tracking results and iterating quickly.
• Cross-functional collaboration: Work with infrastructure and voice platform teams to deploy models that scale globally.
• Research meets production: Evaluate emerging techniques (LLM-guided synthesis, zero/few-shot voice cloning, full-duplex modeling) and bring them to life in production-grade systems.

What You’ll Work With

• Infrastructure: Docker, Kubernetes, Ray, Kubeflow, MLflow, Weights & Biases
• Data Systems: Kafka, Redis, PostgreSQL, Parquet
• You’ll define it: You’ll help select and implement the stack that supports distributed training, data processing, and inference for global deployment.

What We’re Looking For

• 6+ years of experience in machine learning or speech systems engineering
• Hands-on expertise with neural TTS, speech synthesis, or adjacent areas (ASR, voice cloning, multilingual modeling)
• You’ve obsessed over one or two hard problems, whether it’s building multilingual TTS from noisy data, teaching LLMs to speak, designing self-supervised audio encoders, or making diffusion models run in real time.
• Experience with LLM-based approaches to speech synthesis or prosody control
• Strong proficiency in Python and PyTorch
• Ability to deploy models efficiently (ONNX, TensorRT)
• Experience leading small teams and defining technical direction or team executables
• Production mindset: You build systems that run fast, stay stable, and are easy to maintain

Why Telnyx

You’ll be joining a company where voice, infrastructure, and AI converge. Telnyx is building the foundation for real-time, intelligent global communications — and your work on multilingual TTS will be at the core of that vision.



#LI-KG1
#LI-REMOTE

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. 

In a nutshell 

As a Machine Learning Engineer at Picnic, you will design and deploy intelligent systems to solve our company’s biggest challenges. Beyond building models, you will productionize them with strong monitoring and seamless integration into operational systems. You will collaborate closely with stakeholders to ensure the right problems are solved and that solutions deliver real-world impact.

All using high quality data. Our data is registered, logged, and consistent, enabling you to focus on building and improving models rather than cleaning data. This role combines the skills of a consultant, software engineer, and applied mathematician.

Tricks of the trade

You will definitely:

• Identify and execute improvement possibilities together with other ML Engineers and (product) analysts 
• Collaborate on your project from inception to production, to continuous improvement
• Develop tools and enhancements for our cloud-based Machine Learning platform

You could work on various projects and fields, such as: 

• Demand forecasting: delivery, article, trip volumes, used Picnic-wide
• Fraud detection: helping us keep troublemakers out of our store
• Recommendation systems: generating useful in-app grocery suggestions 
• Search and ranking: helping our customers find exactly what they need
• Predicting delivery drop-off times: making sure we’re on-time at every customer’s door
• Vision: ensuring quality control and smooth operations within our warehouses 

Check out some of our previous machine learning projects here:  https://blog.picnic.nl/tagged/machine-learning

We’re looking for

• Master’s degree or higher in AI, Computer Science, Mathematics, or a related field
• 5+ years of experience in data science or applied machine learning 
• Excellent communication skills, you can clearly explain complex ideas in non-technical terms and enjoy working closely with business stakeholders to solve problems together
• Experienced in designing, deploying, and maintaining production ML systems, with solid software engineering and ML principles
• Strong Python and SQL skills
• Able to define the long-term vision and technical architecture for ML solutions within your domain
• Experience with Docker, Kubernetes, and CI is a plus

Picnic Perks 

🫱🏼‍🫲🏾 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!

💡 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! 

🥗 Fresh Lunch, coffee, and snacks 

Our offices are equipped with fully-fledged coffee bars and a kitchen and chefs. They prepare delicious fresh and warm lunches every day so you can keep your energy up.

🚲 Health insurance discount & bike plan

We have a partnership with CZ (a health insurance provider). Picnic employees get a discount on CZ insurance packages between 5% and 15%. Furthermore, through our partnership with Lease a Bike, you can rent-to-own a new (e)bike at a discounted rate

🌎 Relocation

If you’re moving from another country to join Picnic we make it as smooth as possible for you. We’ll cover your flight costs for you and your partner and kids, your first month's rent and moving costs (up to €2000), and help you with the 30% tax ruling setup and application. 

📆 All the rest 

At Picnic you get 25 holidays, we cover your travel expenses and offer a pension plan. And your phone and laptop are on us, as well. 

Why Engineering at Dataiku?

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

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

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

How you’ll make an impact

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

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

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

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

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

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

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

What you need to be successful 

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

What does the hiring process look like?

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

What to know about the Dataiku Support Team

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

How you’ll make an impact 

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

Some expected outcomes for this role 

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

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

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

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

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

What you’ll need to be successful 

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

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

• Experience with Docker and Kubernetes

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

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

• Proficiency working with Unix-based operating systems

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

• Ability to read and write Python or R code

What will make you stand out

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

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

• Experience with ML models and LLMs

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

• Initial call with a member of our Technical Recruiting team

• Video call with the Technical Support Manager

• Technical Assessment to show your skills (Home Test)

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

• Final Interview with the VP Technical Support

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.

IMC’s Amsterdam-based Java teams work on a wide variety of applications, tools and functionalities, including trading algorithm implementations, option pricing, calculating volatility, simulation frameworks, market risk applications, trade reconciliation applications and data analysis & visualisation tools for traders. We frequently need to develop not just the business applications themselves, but also the tools that keep our development process at the cutting edge.

Your Core Responsibilities:

As a software engineer, you’ll work in multidisciplinary teams alongside other engineers as well as traders researchers and quants to deliver challenging projects, while taking ownership for end-to-end product development – from requirements gathering to production. You’ll write reliable, high-performance software while balancing time to production with quality and testability. Advanced automated testing and daily deployments will allow you to achieve agile and incremental benefits. Within a complex landscape of varying systems and technologies, you’ll be constantly challenged to consider trade-offs between latency, throughput, simplicity, scalability and maintainability. Your core tasks will include:

• Coding, developing, testing, deploying and maintaining applications and automations for Trading Teams and/or Risk Management, Mid-Office and Strategy Development Teams.
• Working through internal client requests. Gathering details, requirements and feedback from a range of internal stakeholders in order to implement creative automation solutions using innovative coding practices.

Your Skills and Experience:

• At least 5+ years of experience as a Software Engineer 
• Strong programming skills in Java 17+. Experience in the latest versions of Java is highly desirable
• Ideally worked in a trading environment, but we will consider experience from industries such as capital markets, exchanges, banking etc 
• Familiarity with Python – preferred
• Familiarity with Docker and Kubernetes
• Comfortable in Linux environments
• Experience gathering business requirements, communicating with key stakeholders and delivering solutions quickly
• The ability able to work on greenfield projects under minimal supervision and to take full ownership of the applications you build
• A high degree of flexibility and adaptability: willing and able to deal with uncertainty and ambiguity in a rapidly evolving environment
• Strong troubleshooting and diagnostic skills; ability to solve problems creatively and proactively

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. 

P-1521

Note that this is a hybrid role and the person needs to go to the office, based in Amsterdam, at least 3x a week.

Platform Monitoring Engineer

Mission

At Databricks, we are passionate about empowering data teams to tackle the world’s most challenging problems — from bringing the next mode of transportation to reality to accelerating the development of medical breakthroughs. We achieve this by building and operating the world’s best data and AI infrastructure platform, enabling our customers to leverage deep data insights and enhance their business. Founded by engineers — and customer-obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. 

We are seeking an exceptional Senior Platform Monitoring Engineer to join our Platform Monitoring Team. This is a high-impact technical role for someone who thrives at the intersection of platform reliability, incident response, and customer obsession. You will serve as a critical first responder for the Databricks Platform, leading complex investigations, designing observability solutions, and driving systemic improvements that enhance customer experience and platform stability.

The Impact You Will Have

• Lead platform incident investigation, coordinating cross-functional teams through rapid detection, mitigation, and resolution to minimize customer impact.
• Conduct thorough post-incident root cause analysis across infrastructure, services, and cloud providers to identify systemic patterns and prevent future occurrences.
•  Design and implement customer-focused alerting pipelines and end-to-end observability workflows to enhance detection coverage and reduce mean time to detection.
• Build automation tools, establish reusable monitoring patterns, and resolve reliability gaps that directly impact customer experience.

What We Are Looking For:

• Minimum of 5 years of experience as an SRE, DevOps Engineer, Production Engineer, or similar role.
• Production-level experience with at least one major cloud provider (AWS, Azure, GCP) and proficiency in container and orchestration technologies (Docker, Kubernetes).

• Hands-on experience with monitoring, logging, and alerting tools such as ELK, Prometheus, Grafana, PagerDuty, etc. Ability to architect monitoring solutions that correlate metrics, logs, and traces.

• Strong proficiency in Python or similar languages with the ability to build production-quality automation tools.
• Experience owning critical phases of the incident lifecycle from detection through resolution and post-mortem analysis in demanding production environments.
• BS or Master's, or PhD in Computer Science or Computer Engineering, or related Engineering field.

P-1321

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

Unlike traditional enterprise software, we design and build modern SaaS products that bring delight to all of the stakeholders: decision makers, admins, and end users. As a full stack software engineer, you will work closely with your team and product management to bring that delight through great user experience.

Below are some example teams you can join:

SQL Analytics Console: SQL Analytics is a new product that provides Databricks customers with a first-class experience for performing Business Intelligence (BI) and running SQL workloads directly on the data lake. Our team builds the "console" for SQL Analytics, where users configure, manage and monitor their SQL usage.

Jobs and Workflows: This team powers all asynchronous customer workloads for Databricks which is the majority of Databricks usage. As this usage has rapidly increased - we've rearchitected the system for increased stability and scalability. We are also building exciting new features for more advanced workflows and customer observability. This team has a mix of frontend, backend, and reliability engineering skills & projects.

Developer Ecosystem: The developer ecosystem team focuses on the development experience and best practices using tools outside of the workspace. We own and govern the core developer ecosystem open-source components: the SDK, the CLI, and Terraform.

Apps Developer Experience - This is the team that makes developing Apps on Databricks delightful and easy. We have built an SDK and services for app developers - AppKit. Our Codegen sub-team builds tools that enable agents to generate Apps that work first time. We're currently. working on an MCP server for Cursor/Claude Code and are working on Skills.

What we look for:

• BS/MS/PhD in Computer Science, or a related field
• 5+ years of experience with HTML, CSS, and JavaScript
• Passion for user experience and design and a deep understanding of front-end architecture
• Comfortable working towards a multi-year vision with incremental deliverables
• Experience with modern JavaScript frameworks (e.g., React, Angular, VueJs/Ember)
• Strong familiarity with server-side web technologies (eg: Nodejs, Java, Python, Scala, C#, C++,Go, JVM)
• Good knowledge of SQL
• Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes
• Experience in architecting, developing, deploying, and operating large scale distributed systems

P-1320

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

Unlike traditional enterprise software, we design and build modern SaaS products that bring delight to all of the stakeholders: decision makers, admins, and end users. As a full stack software engineer, you will work closely with your team and product management to bring that delight through great user experience.

Below are some example teams you can join:

SQL Analytics Console: SQL Analytics is a new product that provides Databricks customers with a first-class experience for performing Business Intelligence (BI) and running SQL workloads directly on the data lake. Our team builds the "console" for SQL Analytics, where users configure, manage and monitor their SQL usage.

Jobs and Workflows: This team powers all asynchronous customer workloads for Databricks which is the majority of Databricks usage. As this usage has rapidly increased - we've rearchitected the system for increased stability and scalability. We are also building exciting new features for more advanced workflows and customer observability. This team has a mix of frontend, backend, and reliability engineering skills & projects.

Developer Ecosystem: The developer ecosystem team focuses on the development experience and best practices using tools outside of the workspace. We own and govern the core developer ecosystem open-source components: the SDK, the CLI, and Terraform.

Apps Developer Experience - This is the team that makes developing Apps on Databricks delightful and easy. We have built an SDK and services for app developers - AppKit. Our Codegen sub-team builds tools that enable agents to generate Apps that work first time. We're currently. working on an MCP server for Cursor/Claude Code and are working on Skills.

What we look for:

• BS/MS/PhD in Computer Science, or a related field
• 2+ years of experience with HTML, CSS, and JavaScript
• Passion for user experience and design and a deep understanding of front-end architecture
• Comfortable working towards a multi-year vision with incremental deliverables
• Experience with modern JavaScript frameworks (e.g., React, Angular, VueJs/Ember)
• Strong familiarity with server-side web technologies (eg: Nodejs, Java, Python, Scala, C#, C++,Go, JVM)
• Good knowledge of SQL
• Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes
• Experience in architecting, developing, deploying, and operating large scale distributed systems

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

About the Initiative

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

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

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

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

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

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

The role

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

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

As part of the team, you will:

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

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

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

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

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

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

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

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

We are looking for someone who:

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

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

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

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

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

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

We'd be particularly thrilled if you:

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

- Have worked on AI-driven development pipelines.

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

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

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

#LI-MP1

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

About the Initiative

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

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

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

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

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

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

The role

We are looking for a Developer Experience Lead to drive large-scale improvements to the development experience across the JCP.

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

As part of the team, you will:

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

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

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

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

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

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

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

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

We are looking for someone who:

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

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

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

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

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

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

We'd be particularly thrilled if you:

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

- Have worked on AI-driven development pipelines.

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

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

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

#LI-MP1

Mission (Business Support Engineering)

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

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

Your core responsibilities

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

Responsibilities:

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

Skills and experience (required)

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

Nice to have

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

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.

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.

What we offer 

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

Who we are

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

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

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

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

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

What you will do  

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

What you’ll bring  

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

Good to Know  

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