Are you excited about building the systems that keep Wolt running for millions of customers every day?

We’re looking for a pragmatic, product-minded Backend Engineer with strong skills in Python or Go to join our Consumer Platform team – the group behind the core infrastructure and reliability that make Wolt fast, stable, and scalable.

This is a role at the intersection of backend engineering, platform thinking, and reliability. You’ll work on the systems that power critical purchase flows and the foundations that other teams build on, shaping how Wolt performs at scale.

What you’ll be doing

Day-to-day in this role, you’ll:

• Build and operate high-throughput backend services in Python and Go
• Work across the full development lifecycle, from system design to deployment and monitoring
• Improve the scalability and reliability of Wolt’s core platform
• Design and develop shared services, internal tooling, and platform-level capabilities used across teams
• Drive cross-team initiatives that raise engineering standards and system resilience
• Collaborate with product teams and other engineering groups to support critical consumer-facing flows

Why this role

• Work on the backbone of Wolt: Consumer Platform sits at the core of Wolt’s engineering organization. The systems you build power everything from purchase flows to platform-wide reliability, with direct impact on millions of users.
• An AI-first engineering team: We don't use AI as a productivity add-on - we treat agentic coding as a core engineering discipline. We expect our engineers to build with AI agents, to challenge what's possible when the human-in-the-loop is a multiplier rather than a bottleneck, and to push the boundaries of what a small, focused team can ship.
• High-impact, cross-team work: This team is known for driving initiatives that span across Wolt. Recent work includes scaling the purchase core to support split payments, building API gateway capabilities for critical flows, and improving reliability standards across the platform.
• A small team with high leverage: You’ll work in a focused, experienced team where engineers take ownership, move quickly, and influence both technical direction and platform strategy.

AI-First Engineering in Consumer Platform

We’re building platform teams at the forefront of agentic software development. This goes beyond code generation. We’re interested in engineers who:

• Design workflows where AI agents assist or own parts of the development loop
• Think critically about what should be automated versus human-reviewed
• Build tooling and abstractions that make AI-assisted backend development safer and more effective
• Stay curious about new models, tools, and approaches, and form strong opinions on what actually works

If you find yourself asking “how should this system be built with AI in mind?” you’ll fit right in!

Our Tech Stack

Python, Go, MongoDB, Redis, Kubernetes, AWS, Datadog, CI/CD pipelines

What we’re looking for

• Strong backend fundamentals: Experience building production-grade backend services using Python, Go, or similar languages.
• AI-first development mindset: You use AI tools in your daily workflow and think critically about how they improve how you build, debug, and design systems.
• Experience at scale: You’ve worked on high-traffic production systems and understand the challenges of reliability, performance, and scalability.
• System design thinking: You have solid fundamentals in designing distributed systems and care about efficiency, robustness, and maintainability.
• End-to-end ownership mindset: You take responsibility beyond implementation, from shaping solutions to ensuring systems are stable, observable, and production-ready.
• Ability to work independently and drive projects: You’re comfortable owning work end-to-end, navigating ambiguity, and moving initiatives forward with minimal guidance.
• Collaboration and communication: You work effectively across teams and communicate clearly in multi-team engineering environments.
• Reliability and operational awareness: Experience with observability, on-call practices, or reliability engineering is a plus.
• Platform and tooling exposure: Experience contributing to shared systems, internal tooling, or platform engineering initiatives is a plus.

About You 

• You've built and shipped real software - products, platforms, APIs, apps - and you know what it takes to keep things running reliably in production. You have opinions about architecture but hold them lightly. You write tests. You read the alerts. You don't leave loose ends.
• What sets you apart right now is that you're genuinely excited about where engineering is going. You've been experimenting with AI agents and agentic coding workflows - not because someone told you to, but because you couldn't help yourself. You think about how to redesign your development loop from first principles, not how to bolt AI onto the way you already work.
• You communicate well, collaborate easily across disciplines, and care about the product as much as the code. You're the kind of engineer who asks "what's the best way to..." and then actually follows through.

Where you'll work

These roles are based in our tech hubs in Helsinki, Berlin OR Stockholm.

Next steps

We’re reviewing applications on a rolling basis, and the role will be filled as soon as we find the right person, so don’t wait!

The hiring process typically includes a conversation with the Talent Acquisition Partner, followed by technical interviews, a team chat, and a final decision.

About Parloa

Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience — one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like IKEA and Booking.com already deploying Parloa at scale.

About the role:

Parloa is building the AI platform that enterprises trust with their most important conversations. That trust starts with security — and we need someone to own it entirely.

As Director of Security, you won't just manage a team. You'll shape how a fast-scaling AI company thinks about security from the ground up: building the strategy, the culture, and the systems that protect our platform, our customers, and the data they entrust to us. You'll lead our SecOps team within Tech Platform, partner across IS&T and Internal IT, and be the person our customers look to when they need confidence that Parloa takes security as seriously as they do.

This is a builder role. If you want to define what security looks like at an AI-native company — not inherit someone else's playbook — this is it.

Areas of ownership:

• Define and execute the product and platform security strategy — building the programs, tooling, and practices that scale with a fast-growing AI platform.
• Lead and grow the security team — hiring exceptional talent, developing senior leaders, and fostering a culture where security is every engineer's responsibility.
• Own application security across the SDLC — embedding secure coding practices, SAST/DAST/SCA tooling, threat modeling, and architectural security reviews into engineering workflows, enabling velocity without compromising safety.
• Design and implement security architectures for cloud-native applications, Kubernetes workloads, and CI/CD pipelines.
• Build and run the detection and response program — developing threat detection capabilities, tuning alerting and telemetry, and leading incident investigations, containment, and postmortems with technical rigor.
• Drive cloud security posture across our AWS/GCP infrastructure, covering identity and access, network segmentation, secrets management, and infrastructure-as-code security.
• Be Parloa's product security voice in customer engagements — fielding security questionnaires, supporting enterprise due diligence, and translating technical posture into customer confidence.
• Advance AI-specific security practices — securing LLM pipelines, model interactions, prompt injection surfaces, and data handling across the platform.
• Collaborate with IS&T on shared boundaries — coordinating on incident escalation, identity systems, and compliance requirements where product and corporate security intersect, without duplicating ownership.
• Establish security metrics that matter — proving that product security posture is measurably improving, not just maintained.

Who you are:

• 12+ years in security, with at least 5 years leading security teams, ideally in product or application security at a SaaS or platform company.
• Deep hands-on experience securing cloud-native, containerized environments (AWS/GCP, Kubernetes) — you can still roll up your sleeves when it matters.
• Strong application security background — you understand secure architecture, common vulnerability classes, and how to shift security left without slowing engineering down.
• Proven detection & response expertise — you've built or significantly improved SOC/detection capabilities and led incident response in production environments.
• Effective communicator across audiences — you can translate product security risk into business terms for executives and customers, and dive into technical detail with engineers.
• Familiarity with compliance frameworks (SOC 2, ISO 27001) as they relate to product security controls — you've contributed to audits and customer security reviews, even if GRC ownership sits elsewhere.
• Genuine curiosity about AI security — experience securing LLM-based systems is a strong plus, but a sharp instinct for emerging risk is what counts.

Our recruiting process:

Recruiter video call → Technical Peer Interview → Expert interview(s) → Bar Raiser

Why Parloa?

We’re at the beginning of a new era in customer experience, one where AI doesn’t just respond, but understands, reasons, and takes action. We’re building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren’t just support tickets; they’re defining experiences. We’re here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale—and want your work to matter in real, everyday moments—this is where you do it.

At Parloa, ownership isn’t a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that’s evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them.

We’ve grown beyond the earliest startup phase, but we’ve kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one.

Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we’re scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI.

About Parloa

Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale.

About the role:

As a Forward Deployed Engineer, DevOps, your mission is to build and scale the dedicated infrastructure that powers our custom agent integrations for our most important customers. You will be the key technical cornerstone of our team, empowering our customer-facing Forward Deployed Engineers to build, deploy, and manage bespoke client solutions with speed and confidence. By creating a robust, automated, and self-service platform, you will directly enable the rapid delivery of high-quality, reliable custom services.

Areas of ownership:

• Design, build, and maintain the cloud infrastructure specifically for hosting custom services developed by the Agent Integration Engineering team.
• Create flexible and reusable CI/CD pipeline templates that the integration team can easily adopt to automate the deployment of their services.
• Champion Infrastructure as Code to create standardized, yet customizable, service environments, ensuring consistency and rapid provisioning for new integrations.
• Manage a Kubernetes-based environment tailored for hosting a multitude of diverse integration services, focusing on security, isolation, and resource management.
• Implement robust monitoring and observability solutions to provide the integration team with deep visibility into the performance and health of their specific services.
• Serve as the primary DevOps partner for the Forward Deployed Engineering team, understanding their workflow, anticipating their needs, and removing infrastructure-related obstacles.
• Develop automation scripts (Python, Go, Bash) to streamline the entire lifecycle of custom integration services, from creation to decommissioning.
• Support and modernize legacy Azure infrastructure, helping transition workloads to a standardized, Kubernetes-based platform aligned with Parloa’s Engineering practices.

Who you are:

• 5+ years of professional experience in DevOps, infrastructure engineering, or a similar role.
• A strong customer-first mindset, viewing the Forward Deployed Engineering team as your primary customer.
• Proficiency in at least one scripting or programming language like Python, Go, or Bash.
• Hands-on expertise with a major cloud provider (AWS, GCP, or Azure).
• Advanced knowledge of containerization and orchestration, specifically Kubernetes, Helm, and Docker.
• Proven experience creating flexible CI pipelines with tools like Jenkins, GitHub Actions, or GitLab CI, and CD/GitOps workflows with tools like Argo CD.
• A strong background in Infrastructure as Code (Terraform is highly preferred).
• Experience building self-service tools and platforms that empower specific development teams.

Our Recruiting Process:

Talent Acquisition → Hiring Manager → Technical Interview(s) → Bar Raiser

Why Parloa?

We’re at the beginning of a new era in customer experience, one where AI doesn’t just respond, but understands, reasons, and takes action. We’re building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren’t just support tickets; they’re defining experiences. We’re here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale and want your work to matter in real, everyday moments, this is where you do it.

At Parloa, ownership isn’t a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that’s evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them.

We’ve grown beyond the earliest startup phase, but we’ve kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one.

Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we’re scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI.

We’re looking for an experienced Software Engineer join our Go initative within the Merchant Group at Wolt! If you have a strong track record of building and maintaining scalable, production-grade systems you like to drive impact at scale and mentor juniors and peers - this is the place for you!

Who We Are

The Merchant Group consists of 150+ engineers across 25+ cross-functional teams, working together to help merchants grow their businesses and streamline operations through innovative technology. Some of us focus on building seamless experiences for our merchants, while others work on the behind-the-scenes magic that makes everything run smoothly.

What You’ll Do

As a senior engineer in our group, you’ll work your magic in Go or Kotlin (and some Kotlin) helping shape how merchants succeed with Wolt. You’ll have opportunities to:

• Design, build, and scale reliable systems that power merchant experiences.
• Work across the full development lifecycle – from business logic and testing to cloud infrastructure and data streaming.
• Collaborate on architecture and technology choices that keep our systems simple, scalable, and efficient.
• Grow your skills and knowledge by working alongside experienced teammates in an environment that values learning and experimentation.

How We Work

• Autonomy & Ownership – Our engineers have end-to-end responsibility for their services, from implementation to production.
• Collaboration – Architecture and working methods are defined together, ensuring we make the best choices for long-term success.
• Scalability & Simplicity – We value pragmatic solutions that keep our systems robust without unnecessary complexity. We use technologies that serve Wolt, our teams, and our engineers best. You’ll have the freedom to experiment and adopt the tools that work.

Our Tech Stack

Our core technologies include Go, as well as Kotlin (Ktor, Koin, Spring, gRPC), PostgreSQL, MongoDB, Kafka, Redis, GitHub Actions, AWS, Docker, and Kubernetes.

Why Join Us?

Wolt is a place where you can learn, teach, and grow. If you’re passionate about building great technology and working in an environment that values teamwork and autonomy, we’d love to hear from you!
📍This open role are based in our tech hubs in Berlin, Helsinki or Stockholm. We work in distributed teams, but might not be able to offer fully remote work or relocation.

Our humble expectations

We’re seeking an experienced Software Engineer, so we expect that you:

• Not only understand customer problems but can break them down into actionable steps for both yourself and the team. You balance short-term needs with long-term goals, creating high-quality, scalable solutions.
• Lead by example, setting high standards for work quality and managing projects effectively, even in uncertain situations. You take full ownership of your team’s work, making improvements that benefit both customers and colleagues. You regularly spot gaps and provide valuable recommendations to cross-functional partners.
• Are used to being a role model and informal leader, collaborating with partner teams and mentoring both juniors and peers.
• Are an excellent communicator, being succint and to the point. 

Next steps

We are continuously reviewing applications, so don’t hesitate to apply today - you will hear back from us as soon as possible.
You can read more about our recruitment process here.

At Wolt, world-class customer service isn’t an afterthought, it’s at the heart of everything we do 💙 We’ve built our reputation on delivering fast, thoughtful, and high-quality support, and we’ve done that by investing deeply in our own technology. Rather than just reacting to problems, we aim to solve them before our customers and partners even notice. Behind the scenes, that means building systems that scale globally, handle real-world complexity, and empower support teams to do their very best work. 

This is where the Multilingual Intelligence & Resolution Automation (MIRA) team comes in. The team is on a mission to make customer support truly borderless. We’re building intelligent, AI-powered systems used across Wolt, DoorDash, and Deliveroo, including a real-time translation engine that supports seamless conversations across 20+ languages. Processing hundreds of requests per minute and powered by modern cloud infrastructure and state-of-the-art LLMs, this system enables borderless support and helps create experiences that feel natural, human, and native, no matter where you are in the world. And we’re only just getting started. 🚀

What you’ll be doing

• Design, build, and operate scalable backend services powering real-time, customer-facing systems
• Develop and evolve AI-powered translation capabilities using LLMs in production
• Help build the tooling and infrastructure needed to evaluate models across quality, latency, and cost
• Collaborate closely with product, applied science, frontend, and platform teams to turn complex support problems into robust user-facing systems
• Take ownership of technical decisions and help shape the architecture and future direction of the system
• Improve the performance, reliability, and operational readiness of services handling real production traffic
• Continuously explore better ways of working, including leveraging AI tools to improve development workflows

Our humble expectations

• 👉 You have solid experience designing, building, and integrating quality software (microservices) at scale within a complex domain.
• 👉 You have strong backend development skills in Python or Go (interest in other tech is highly appreciated)
• 👉 You actively leverage modern AI tools (such as GitHub Copilot, Claude, ChatGPT or similar) to enhance your productivity, code quality, and day-to-day development workflow.
• 👉 You have strong technical leadership skills.
• 👉 You have experience with cloud platforms (AWS or similar), container orchestration (Kubernetes, Docker), observability tools (such as DataDog), and database technologies (SQL and NoSQL).
• 👉 Your stakeholder management skills are excellent.
• 👉 You're a pragmatic problem-solver with a growth mindset, eager to step outside your comfort zone and continuously learn.
• 👉 You're comfortable working with real-world data and its nuances.

What we offer

• A chance to build something that truly matters, technology that enables people to connect and solve problems across languages and borders
• The opportunity to work with AI and LLMs in real, high-impact production use cases
• Flexibility to work from Helsinki or Tallinn (hybrid), or remotely within Finland or Estonia
• Being part of a global engineering organization of 2000+ people, we aim to build none other than the best-in-the-world engineering team here.
• You’ll get to work in a company culture where we take ownership beyond the obvious, do common things uncommonly well, we think big but stay humble, do right by people, we treat others kindly and justly, recognise that if we don’t learn, we won’t stay still but fall behind, and keep in mind that Luke was Yoda’s greatest achievement.

🙌 Join us for an exciting journey of creating technology that brings joy, simplicity, and earnings to the neighbourhoods of the world!

We’re looking for experienced Software Engineers to join various teams within the Merchant Group at Wolt! If you have a strong track record of building and maintaining scalable, production-grade systems and want to drive impact at scale, this is the place for you.

Who We Are

The Merchant Group consists of 150+ engineers across 25+ cross-functional teams, working together to help merchants grow their businesses and streamline operations through innovative technology. Some of us focus on building seamless experiences for our merchants, while others work on the behind-the-scenes magic that makes everything run smoothly.

What You’ll Do

As an engineer in our group, you’ll work on production-level microservices in Kotlin and Go, helping shape how merchants succeed with Wolt. You’ll have opportunities to:

• Design, build, and scale reliable systems that power merchant experiences.
• Work across the full development lifecycle – from business logic and testing to cloud infrastructure and data streaming.
• Collaborate on architecture and technology choices that keep our systems simple, scalable, and efficient.
• Grow your skills and knowledge by working alongside experienced teammates in an environment that values learning and experimentation.

How We Work

• Autonomy & Ownership – Our engineers have end-to-end responsibility for their services, from implementation to production.
• Collaboration – Architecture and working methods are defined together, ensuring we make the best choices for long-term success.
• Scalability & Simplicity – We value pragmatic solutions that keep our systems robust without unnecessary complexity. We use technologies that serve Wolt, our teams, and our engineers best. You’ll have the freedom to experiment and adopt the tools that work.

Find out more by checking out our Kotlin-related Tech Talks below:

• Scaling Kotlin Backend Development Podcast 

• Kotlin at Wolt

• Kotlin Meetup

Our Tech Stack

Our core technologies include Kotlin (Ktor, Koin, Spring, gRPC), PostgreSQL, MongoDB, Kafka, Redis, GitHub Actions, AWS, Docker, and Kubernetes.

Why Join Us?

Wolt is a place where you can learn, teach, and grow. If you’re passionate about building great technology and working in an environment that values teamwork and autonomy, we’d love to hear from you!

📍These open roles are based in our tech hubs in Berlin, Helsinki or Stockholm. We work in distributed teams, but might not be able to offer fully remote work or relocation. 

Our humble expectations

We’re seeking experienced Software Engineers with a strong background in building scalable microservices. While Kotlin is our primary language, experience with Java, Scala, or other JVM backend languages is great. As we are exploring Go, we're looking for people who are confident in their ability to learn and teach! 🛠️

Beyond technical expertise, we value ownership, collaboration, and a mindset for growth. We think you're a great communicator who thrives in tackling complex challenges, questioning conventions, and working closely with teammates to build reliable, scalable systems. 🚀

Next steps

We are hiring for multiple open positions across different teams in the Merchant Group. During the initial screening call our Talent Acquisition Partner will discuss with you your expectations and possible domain preferences as well as share more about the group. After the recruiter screening call, during the rest of the interviewing steps, you’ll meet hiring managers and software engineers from the Merchant group, a specific team being proposed at the end of the process - that’s the moment when you’ll get to meet your possible Team Lead. Throughout the process, we will do our best to match your experience, skills, and aspirations with the most suitable Engineering team!

At Wolt, as a part of Doordash, we’re building the industry’s most scalable and reliable delivery platform to support our three-sided marketplace of consumers, merchants, and courier partners. 

What makes our team unique

• Our global Security team aspires to be the world’s most admired security team, with members across EU, UK and North America (operating as Wolt, Deliveroo and Doordash).
• We’re shaping our next generation infrastructure that is hardened from the ground up. This is a rare opportunity - no legacy tech or off-the-shelf product solutions. There is a lot to do around this new development as well as our “classic” platforms of the three companies.
• The greater team is not just information security - we’re more holistic, and also physical security and safety are a part of our global operations.

Day-to-day in this role you’ll:

• Identify and prioritize risk-reducing and engineering-enabling improvements, and then implement and build them, for our infrastructure and cloud security. This may involve the cloud, access controls, the management plane, or just about any other part of infrastructure we have, across any of our platforms. Implementation and building may range from configuring services as infrastructure as code to actual coding of new features.
• Solve security-related questions and implement requests related to our infrastructure security, including reactive fixes related to vulnerabilities or design flaws.
• Guide our engineering teams related to security, privacy and technical compliance.

Over time, your role can evolve depending on your interests and skills. Our company is  a large place and there’s a lot to do!

This position is ideal for someone who would describe themselves as a cloud sysadmin, having an SRE role, or being a DevOps engineer. You are likely to have at least 5 years of full-time experience working in information technology.

As the Security team sometimes needs to address high-priority security issues as well as ensure the availability of the components we have built, this position includes an on-call duty. On-call compensation and terms will be agreed separately in accordance with the local employment law.

Our humble expectations

• Have hands-on experience with AWS, Kubernetes and how modern microservice architectures work. This is a “must” requirement.
• Are quick to form good working relationships with engineers who are building our platforms, as well as their engineering and product management.
• Are quick to learn nuances in a wide variety of additional services that relate to running a low-latency, high-availability infrastructure.
• Are fluent in at least one programming language, even if this comes from a hobby background.
• Have a strong work ethic, are organized and follow things through.
• Can communicate clearly and provide good visibility to issues as they progress.
• Can see through issues that have many aspects and different - often also non-technical and business-related - considerations.
• Are not scared of submitting and reviewing Pull Requests.
• And as Wolt’s company language is English, you’d need to be fluent in both spoken and written English.

This position is open in our Wolt hubs in Berlin, Germany, or Helsinki, Finland, and will be a part of the Global Security Engineering team.

Next steps

The position will be filled as soon as we find the right person, so make sure to apply as soon as you realize you really want to join us!

Why Cast AI?

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

Global team, diverse perspectives

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

Unicorn momentum

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

Join us as we build the future of autonomous infrastructure.

About the role

Throughput. Latency. KV cache utilization.

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

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

Stack

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

Requirements:

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

Responsibilities:

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

What’s in it for you?

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

Hiring process

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

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

#LI-Remote

The role

We are seeking a customer-obsessed Solutions Architect to lead technical engagement with Nebius customers across Europe. This role is focused on presales excellence, strong technical storytelling, and driving adoption of Nebius AI Cloud across a wide range of industry segments.

As a Solutions Architect, you will act as a trusted technical partner to customers, helping them understand, evaluate, and adopt Nebius for their AI/ML and high-performance computing workloads. You will combine deep technical expertise with strong communication skills to clearly articulate Nebius’ value proposition and differentiate our platform in a competitive market.

You’re welcome to work remotely from Europe.

Your responsibilities will include:

• Own end-to-end technical presales engagements, from discovery through solution design, PoC execution, and production readiness
• Serve as a trusted technical advisor to customer stakeholders, including CTOs, Heads of AI/ML, and platform engineering teams
• Deliver compelling technical presentations, demos, and workshops that clearly communicate the value of Nebius across different customer segments
• Execute demos and PoCs to demonstrate performance, scalability, and cost efficiency of Nebius solutions
• Translate customer requirements into scalable, production-ready architectures and best practices
• Collaborate closely with Sales, Product, and Engineering to align customer needs with Nebius capabilities and roadmap
• Act as a technical advocate for customers internally, ensuring feedback is incorporated into product and go-to-market strategy
• Support regional go-to-market efforts, including events, meetups, webinars, and technical content creation
• Contribute to building repeatable technical playbooks and assets for the European market

We expect you to have:

• 2–5+ years of experience in technical roles such as Solutions Architect, Cloud Architect, Sales Engineer, or similar, with strong customer-facing exposure
• Proven experience in presales or customer-facing technical roles, including discovery, solution design, and PoC execution
• Strong ability to deliver technical pitches and clearly explain complex infrastructure and AI/ML concepts to both technical and business audiences
• Experience positioning cloud or infrastructure solutions and articulating value propositions in competitive environments
• Solid understanding of ML/AI workloads, including training and inference, and the underlying infrastructure requirements
• Experience with cloud platforms, Kubernetes, and distributed systems
• Hands-on experience with Infrastructure as Code (e.g., Terraform) and scripting/programming (Python preferred)
• Strong communication and storytelling skills, with the ability to adapt messaging across different customer segments
• Deep understanding of the European market, including customer expectations, buying behaviors, and local ecosystem
• Fluency in English plus another language preferred (both written and spoken), with the ability to engage confidently with local customers and stakeholders
• A highly customer-centric mindset, with the ability to balance technical depth and business value

It will be an added bonus if you have:

• Experience with GPU-accelerated workloads and AI infrastructure (NVIDIA ecosystem, CUDA, etc.)
• Hands-on experience with MLOps tools and frameworks (Kubeflow, MLflow, etc.)
• Familiarity with HPC environments and schedulers (e.g., Slurm)
• Experience contributing to regional go-to-market or developer/community initiatives

The team

Customer experience at Nebius GPU AI Cloud involves tackling customers’ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. You’ll not only resolve issues, but play a key role in shaping clients’ business success by optimizing their AI solutions. Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, you’ll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, you’ll have the freedom to innovate, take ownership and drive change. Opportunities for growth are abundant in this vibrant and supportive professional community.

The role

We are seeking a highly skilled and customer-focused leader to join our team as a Cloud Solutions Architect Lead. As a team leader, you will play a pivotal role in customer success across EU region, both managing the efforts of Cloud Solutions Architects team (technical and process excellence, talent development) and building processes alongside your stakeholders. Player-coach mentality and proven track record of managing high expertise teams is a must. 

You’re welcome to work from our office in Amsterdam or remotely from any EU country.

Your responsibilities will include: 

• Lead and mentor a team of Solutions Architects, fostering a culture of technical excellence, customer empathy, and collaborative execution.
• Oversee and participate in technical engagements including PoCs, workshops, architecture reviews, and trainings.
• Drive consistency and quality across infrastructure design, IaC practices, technical documentation, and customer enablement content.
• Collaborate closely with Product and Development teams, representing customer needs and helping shape the roadmap.
• Guide customers in optimizing ML/AI/HPC pipelines for performance, scalability, and cost-efficiency on Nebius  cloud infrastructure.
• Build visibility and ownership culture amongst Solutions Architects.

We expect you to have: 

• 5+ years of experience in a technical role (Solutions Architect, DevOps Engineer, ML Engineer, or similar) with a focus on cloud-native systems and distributed computing.
• 2+ years of experience leading or mentoring customer facing engineering teams.
• Deep hands-on experience with Infrastructure as Code (Terraform, Ansible), Kubernetes, and cloud automation.
• Strong communication and stakeholder management skills across both technical and non-technical audiences.
• Passion for developing scalable, reliable cloud architectures and driving customer success.

It will be an added bonus if you have: 

• Experience with HPC or ML orchestration frameworks (e.g., Slurm, Kubeflow, Ray).
• Strong coding skills in Python and experience with GPU computing environments for ML/AI workloads.
• Proficient in GPU stack components (e.g., CUDA, cuDNN) and cloud-native patterns for ML training/inference.
• Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX).
• Understanding of cloud-based ML tools and offerings from NVIDIA, AWS, Azure, or Google Cloud.
• Experience participating in or leading technical contributions to conferences or open-source communities. 

About The Role:

We are growing our Data Platform Team within the Gropyus Tech department. Our Platform team is responsible for our internal platform, the Gropyus Data Fabric.  

Our team interacts with experts from various domains such as Digital Building Planning and Automation, Product Operations, Sustainability, AI, IoT, construction engineers, building architects, logistics experts, software engineering; solving complex challenges pertaining to end-to-end process for planning, building, and operating a building.  

What You Will Be Doing:

As part of the Data Platform organization, you will: 

• Design, build, and maintain core data platform components, including ingestion frameworks, transformation pipelines, and data storage layers  

• Own and improve data reliability through monitoring, alerting, SLAs, and data quality checks 

• Collaborate with domain experts and software engineers to understand data needs and deliver high-quality datasets. 

• Lead strategic initiatives to modernize or scale our data ecosystem (including query optimization, schema design, analytics, etc) 

• Mentor and guide team members to elevate engineering rigor and technical capability 

What You Bring: 

• Experience working with a tech stack similar to: 

• Programming languages like Python or Kotlin. 

• Databases like Postgres, BigQuery, Spark, Graph DB 

• Tools like: Kubernetes, Docker, Terraform, Dagster, DBT 

• Cloud Storage Platforms  

• You have strong problem-solving and analytical skills and the ability to break down complex tasks for operations including working with stakeholders, adapting to dynamic input, and leading implementation projects 

• You have experience identifying and resolving issues related to data discrepancies and inconsistencies and creating validation and testing for prevention and handling 

• You have experience in building, operating, and scaling data intensive reactive processing pipelines from end to end including ingestion, storage, orchestration, transformation, enrichment, and analytics 

Optional Experience: 

• Some knowledge about semantic web technologies like RDF and OWL 

• Experience with ontology engineering, and knowledge engineering topics, including using ontology engineering tools such as Protege 

• Experience working with construction industry data and / or complex and large datasets 

• Data Science, Machine Learning and AI agents  

What we offer:

• Be part of something big: You’re here to make a change? Come on board. At GROPYUS, we are on a mission to re-think an entire industry. Join us in reinventing construction and sustainable, affordable living. 
• It’s on you: We offer a tremendous amount of ownership and room to make a mark - at all our organization levels. Find your solutions, drive and test them.
• Focus on results: You choose if you work from home, a park, or the office. Whether you start your day early, after your run, or pick up on work when your kids are in bed. What counts is your contribution and delivery.
• Bring your uniqueness to the team: Innovation requires diversity of thought. Diversity in background, experience and thinking is crucial to create the best product for everyone. We actively seek diversity and strive to unlock each other’s full potential. We are very proud that people from all industries and all walks of life are joining our company – in addition to core areas such as construction, engineering, and start-ups, from stock-listed companies from across automotive e-Commerce, digital, sporting goods, and more. You will work in international teams with passionate colleagues. Inspire and be inspired.
• Be an owner: Participate in the success of GROPYUS through stock options.

SHOULD YOU ACCEPT THIS CHALLENGE... We are looking for passionate, inspirational, hands-on experts for Everpure's fastest growing and cutting edge team - the Analytics & AI Field Solutions Architects. The Analytics & AI FSAs are highly motivated technical sales resources whose goal is to provide guidance, enablement, and support for all things Analytics & AI focusing on opportunities and partnerships across the DACH sales region.

This architect must understand the clients' overall business, how to position the value of a Everpure Solution, and be an authority on how Everpure exists in various high performance data pipelines.

The "Hunter" Mindset (Internal Strategy & Orchestration) This role requires a proactive mindset—we need an orchestrator, not a passive supporter. You will partner with account teams to review territory plans, identifying "hot topics" and data-heavy strategies within customers to generate AI pipeline. You are responsible for pushing the team internally, ensuring they are effectively qualifying and positioning Analytics & AI opportunities.

The position requires the ability to work cross functionally across Solutions, Marketing, Alliances, Engineering, Enablement, Sales, etc. to align initiatives and go to market campaigns while maintaining technical expertise in all new and upcoming solutions in the space.

What You Will Be Doing

• Content Creation: Creating field facing solutions content (Technical Walkthroughs, Deep Dives, Demos, Qualification Guides, etc.) for specific solutions around Analytics & AI.
• Field Enablement: Mainstreaming solution area and other enablement projects to better equip the field for the first stages of Analytics & AI opportunities.
• Evangelism: Webinars/Events presentations including internal and external content with Alliance Partners, Channel Partners, Vendors, etc.. You should be comfortable and impactful on stage, capable of inspiring the field and attracting customers to adopt Everpure Storage technology.
• Customer Engagement: Participate in customer facing calls, demos, POCS, EBCs, internal strategy/sizing sessions, and other related solution-focused activities.
• Technical Strategy: Staying abreast of advancements in both our internal product offerings (FlashArray, FlashBlade, Portworx), new and updated solutions briefs, and formalizing an enablement plan from those.
• Feedback Loop: Solutions Roadmap participation/influence, daily conversations with Solutions Architects and Product Management about field impact, deals, and feedback from the field on existing solutions, etc..
• Field Testing: Participation/oversight in field testing in order to document anecdotal knowledge about that application and platform, in order to bridge the gap between not having a solution and Solutions officially testing.
• Post-Sales: Post sales assists/troubleshooting with expert level knowledge around solutions.
• Collaboration: Partner with Sales Leaders for two-way feedback and communication. High degree of cross-functional engagement with other GTM and corporate functions.

What You Bring To The Team

• Experience: 5+ years of Pre-sales experience in IT covering both private and public sector accounts.
• Education: Bachelor's Degree in Data Science, Computer Science, or related field / equivalent experience.
• Language: Must speak German and English fluently.
• Technical Acumen (Builders, not just Users):
• We are looking for people who understand the underlying architecture of AI, not just users of tools. You must have strong technical acumen in the Analytics & AI space with deep interest and vision for the industry.
• Strong understanding of the infrastructure (servers, networking, storage, etc) that underpins a high performance environment.
• Knowledge of the Analytics & AI landscape and how they all play together at Everpure for a specific outcome for a customer. This includes various applications/technologies part of a larger data pipeline such as Splunk, Elastic Search, Kafka, Spark, Snowflake, Vertica, TensorFlow, PyTorch, etc..
• Container Knowledge (Beneficial): Experience with modern application stacks is highly desirable. Knowledge of Kubernetes, container orchestration, and container-native storage (e.g., Portworx) in the context of AI pipelines is a strong plus.
• Communication:
• Ability to explain complex concepts in a simple to understand distilled manner to teach account teams and partners about Everpure's Analytics & AI solutions.
• Excellent oral and written communications skills, as well as excellent presentation skills.
• Execution: Previous hands on experience executing PoC's and demonstrations required.
• Problem Solving: Strong technical and tactical problem solving skills and experience with complex engineering designs.
• Travel: Ability to travel up to 50% within the DACH region.
• Work Ethic: Strong work ethic, attitude and follow through ability.

OVERVIEW

The Cloud Native Architect (CNA) is a senior technical leader within the organization. The role owns the technical sales strategy, evaluation approach, and architectural direction for a focused set of the company's largest and most complex customers. Operating at the intersection of cloud native platforms, business outcomes, and executive decision making, the CNA guides customers through discovery, validation, and financial justification. Each engagement is expected to result in a clear technical win and a credible path to company wide adoption, positioning Everpure's product portfolio as a standard platform for cloud native data management. This is a senior individual contributor role within pre-sales, centered on influence, quality of execution, and long-term outcomes rather than transactional activity.

WHAT YOU WILL DO...

• The role leads the full cloud native technical sales lifecycle for opportunities, spanning discovery, architectural alignment, workshops, demonstrations, POC or POV execution, and technical wrap-up. Ownership includes defining success criteria, guiding validation, and securing the technical decision.
• Architectural responsibility centers on Kubernetes-centric data platforms that span multiple environments, business units, and regions. Solutions are designed in collaboration with customers and internal stakeholders to ensure alignment between technical design, operational reality, and business objectives.
• As the primary technical advisor, the CNA engages senior engineering leaders and executives through briefings, architecture workshops, and steering discussions. Close partnership with account teams and co-sellers ensures technical strategy and commercial goals remain aligned.
• The role also contributes beyond individual opportunities by mentoring peers, sharing best practices, and participating in thought leadership through customer forums, community events, and industry engagements.

WHAT SUCCESS LOOKS LIKE...

• Success is reflected in consistent technical wins within complex enterprise opportunities that convert into booked revenue and sustained customer momentum.
• Technical sales cycles progress with clarity and pace, supported by strong discovery, well-defined success criteria, and disciplined validation. Customers view the CNA as a trusted technical partner rather than a transactional pre-sales resource.
• Over time, the role contributes to deeper penetration and broader adoption within accounts, expanding footprint and strengthening long-term relationships.

WHAT WE NEED FROM YOU...

• The ideal candidate brings senior-level experience in customer-facing technical roles within software or platform organizations, with strong exposure to cloud native and Kubernetes based architectures.
• Comfort operating at high/enterprise level is essential, along with the ability to translate complex technical capabilities into clear business and financial value. Experience navigating long-cycle, multi-stakeholder enterprise opportunities is expected.
• Strong architectural judgment, clear communication, and the ability to collaborate effectively across sales, product, engineering, and customer-facing teams are critical to success.

WHY THIS ROLE...

• This is a high trust, high impact role with visibility across the company's key customers and initiatives. The scope is intentionally focused, enabling deep engagement where technical leadership materially influences outcomes.
• For architects who want to operate at enterprise scale, shape platform adoption, and play a meaningful role in how modern data platforms are delivered, this position offers both challenge and impact.

Portworx, a Pure Storage company, is at the centre of our cloud native strategy. We help enterprises run, protect, and scale stateful applications on Kubernetes across hybrid and multi cloud environments. If you are excited by complex enterprise selling, technical value creation, and building long term executive relationships in Manufacturing and Automotive, this role is for you.

THE ROLE

Pure Storage is seeking a Strategic Accounts Account Executive to accelerate growth of the Portworx platform across Strategic Manufacturing and Automotive accounts in EMEA. You will own a small number of named Manufacturing and Automotive customers and prospects, build and execute multi year account plans, and drive platform adoption with a focus on business outcomes such as resilience, risk reduction, faster application delivery, and operational efficiency.

You will work closely with cross functional teams across Pure and Portworx, including Systems Engineering, Customer Experience, Marketing, Partner teams, Product, and field leadership. This is a high impact individual contributor role with a strong emphasis on strategic planning, disciplined execution, and customer intimacy.

What You’ll Do

• Own and grow a portfolio of named Strategic Manufacturing and Automotive accounts, delivering against annual and multi year revenue targets.
• Build and execute account plans that map buying centres, application priorities, Kubernetes roadmaps, and transformation programmes.
• Develop executive relationships across CIO, CTO, CISO, Head of Infrastructure, Platform Engineering, SRE, and Application leaders.
• Lead complex sales cycles from discovery through close, including security, risk, procurement, architecture review, and legal processes common in Manufacturing and Automotive.
• Position Portworx around measurable outcomes: application resilience, ransomware recovery, data protection, regulatory compliance, cloud portability, and modernisation at scale.
• Orchestrate account teams and partner ecosystems, including GSIs, cloud providers, and regional partners, to drive pipeline creation and deal execution.
• Run a rigorous, value based sales process tailored to cloud native software, with accurate forecasting and strong hygiene in Salesforce and forecasting tools.
• Partner with Customer Experience to expand adoption post sale, identify expansion triggers, and build customer advocacy within the Manufacturing and Automotive community.
• Stay ahead of competitive dynamics in Kubernetes data services, backup and recovery, and container storage, using insights to sharpen strategy and messaging.
• Represent Portworx in customer meetings and relevant industry events, with a field first mindset.

What You’ll Bring

• Proven enterprise software sales experience, with a track record of closing and expanding high value, multi stakeholder deals in large organisations.
• Demonstrable experience selling into Manufacturing and Automotive, with an understanding of procurement, governance, risk, and security requirements.
• Strong grasp of cloud native concepts and the Kubernetes ecosystem, plus the ability to credibly engage architects and platform teams.
• Experience selling to both technical and executive stakeholders, translating technical capabilities into business value and risk outcomes.
• Disciplined pipeline generation, qualification, deal management, and forecasting, with strong operational habits in SFDC.
• Comfort working in a matrixed environment, influencing cross functional teams without direct authority.
• Strong communication and programme management skills, with clear account planning and stakeholder alignment.
• A customer first mindset and a bias for action, with resilience and curiosity.

Site Reliability Engineer

As a part of Sony Computer Entertainment, the Gaming, Developer & Future Technology Group (GDFT) is leading the cloud gaming revolution, putting console-quality video games on any device, from TVs to consoles to mobile devices and beyond.

Our Site Reliability Engineering team plays a significant role in delivering on the promise of a great cloud gaming experience to our customers. We do this by influencing design and operational decisions towards the overall stability of the gaming service. Our SREs focus on three main things: overall ownership of production, production code quality, and deployments. The successful candidate will be self-directed and able to participate in the way we make decisions at different levels.

We expect our SREs to have opinions on the state of our service and provide critical feedback during different phases of the operational lifecycle. We are engaged throughout the software development lifecycle, ensuring the operational readiness and stability.

What you'll be doing:

• Lead team technical discussions, especially around ongoing improvements in Reliability and Scalability
• Be involved in creating High Level Designs (HLDs) for new products and platforms
• Mentor junior SRE staff and enable them for success
• Lead incident response and post-mortem activities within your assigned service team
• Work with other Engineers in a cross-functional team to prioritise reliability improvements to address technical debt and toil
• Contribute to code to improve reliability
• Implement automation to reduce ongoing toil

What we're looking for:

• Minimum of 5+ years working experience in Software Development and/or Linux Systems Administration role.
• Strong interpersonal, written and verbal communication skills.
• Available to be scheduled in on-call rotation.

Skills & Knowledge:

• Proficient as a Linux Production Systems Engineer, with experience managing large scale Web Services infrastructure.
• Development experience in one or more of the following programming languages:
• Python (preferred)
• Bash, Go, Java, C++, or Rust
• In addition, experience with at least 3 of the following topics:
• Distributed data storage at scale (Hadoop, Ceph)
• NoSQL at scale (MongoDB, Redis, Cassandra)
• Data Aggregation technologies. (ElasticSearch, Kafka)
• Scaling and running traditional RDBMS (PostgreSQL, MySQL) with High Availability
• Monitoring & Alerting (Prometheus, Grafana), and Incident Management toolsets
• Kubernetes and/or AWS (deployment and management)
• Software Distribution (Package management and distribution at scale)
• Configuration Management (ansible, saltstack, puppet, chef)
• S/W Performance analysis and load testing (QA or SDET experience: a plus)

Senior Service Reliability Engineer 

As a part of Sony Interactive Entertainment, the Gaming, Developer & Future Technology Group (GDFT) is leading the cloud gaming revolution, putting console-quality video games on any device, from TVs to consoles to mobile devices and beyond. 

Our Site Reliability Engineering team plays a significant role in delivering on the promise of a great cloud gaming experience to our customers. We do this by influencing design and operational decisions towards the overall stability of the gaming service. Our SREs focus on three main things: overall ownership of production, production code quality, and deployments. The successful candidate will be self-directed and able to participate in the way we make decisions at different levels. 

We expect our SREs to have opinions on the state of our service and provide critical feedback during different phases of the operational lifecycle. We are engaged throughout the software development lifecycle, ensuring operational readiness and stability. 

What you'll be doing: 

• Taking a leadership role in ongoing improvements in Reliability and Scalability 

• Work closely with SRE Management to define KPIs, processes and drive continuous improvement 

• Influence the architecture and implementation of solutions within the division 

• Mentor more junior SRE staff and enable them for success 

• Act as a voice to represent SRE in the wider organisation 

• Represent the operational scalability of solutions in the wider division 

• Lead small-scale projects from inception to implementation 

• Design platform-wide solutions and provide technical leadership during their implementation 

• Demonstrate a high-level of organizational skills and initiative in the role 

What we're looking for:

• Minimum of 7+ years working experience in Software Development and/or Linux Systems Administration role. 

• Strong interpersonal, written and verbal communication skills. 

• Available to be scheduled in on-call rotation. 

Skills & Knowledge:

• Proficient as a Linux Production Systems Engineer, with experience managing large scale Web Services infrastructure. 

• Development experience in one or more of the following programming languages: 

• Python (preferred) 

• Bash, Go, Java, C++, or Rust 

• In addition, experience with at least 3 of the following topics: 

• Distributed data storage at scale (Hadoop, Ceph) 

• NoSQL at scale (MongoDB, Redis, Cassandra) 

• Data aggregation technologies. (ElasticSearch, Kafka) 

• Scaling and running traditional RDBMS (PostgreSQL, MySQL) with High Availability 

• Monitoring & alerting (Prometheus, Grafana), and Incident Management toolsets  

• Kubernetes and/or AWS (deployment and management)  

• Software distribution (Package management and distribution at scale) 

• Configuration management (ansible, saltstack, puppet, chef) 

• Software performance analysis and load testing (QA or SDET experience: a plus) 

 What you'll be doing: 

• Taking a leadership role in ongoing improvements in Reliability and Scalability 

• Work closely with SRE Management to define KPIs, processes and drive continuous improvement 

• Influence the architecture and implementation of solutions within the division 

• Mentor more junior SRE staff and enable them for success 

• Act as a voice to represent SRE in the wider organisation 

• Represent the operational scalability of solutions in the wider division 

• Lead small-scale projects from inception to implementation 

• Design platform-wide solutions and provide technical leadership during their implementation 
  
  
• Demonstrate a high-level of organizational skills and initiative in the role 

The role in a nutshell:

We’re looking for a Technical Support Engineer who’s equal parts problem-solver, translator, and customer hero. You’ll be the go-to person when customers hit snags with Chainguard Images, digging into technical mysteries, keeping folks informed, and partnering with Engineering to squash bugs before they cause chaos. This isn’t just “reset the password and move on” support: you’ll work on real, complex issues with modern tools (Docker, Kubernetes, GitHub, Helm charts, Terraform, etc.), make customers feel like superheroes themselves, and help shape how Chainguard delivers world-class support. Serious work, fun team, big impact.

What you’ll do:

• Be the frontline agent: Triage, investigate, reproduce, manage, and annihilate complex customer issues involving Chainguard Images.
• Escalate wisely: Engage the Engineering team when things get spicy.
• Communicate like a pro: Keep customers (and your SLAs) happy, informed, and impressed.
• Bridge the tech lingo divide: Explain things clearly to both code whisperers and non-tech humans.
• Document like a librarian: Create detailed write-ups of new issues and throw helpful Knowledge Base nuggets into the mix.
• Channel your inner detective: Prioritize your own queue, drive clarity in communication, and proactively guide issues to resolution.
• Speak up smartly: Push bugs, feature requests, and hidden gremlins up to Engineering and GTM teams.
• Learn, teach, repeat: Seek new challenges, share wisdom, and maybe teach someone your favorite GitHub ninja trick.
• Be there when it counts: Participate in an on-call rotation for after-hours, weekend, and holiday support.
  
  

What we're looking for:

• You’ve spent 3+ years supporting enterprise customers with a confident, calm approach.
• 3+ years under your belt with Linux, Docker and Kubernetes. You dream in containers.
• You deliver top-tier customer experiences with stellar written and verbal communication.
• You're a cross-functional harmony maker supporting teams across Engineering, Customer Success, and more.
• You're comfortable in the DevOps warzone: CI/CD, Linux, GitHub, Helm Charts, Terraform, Open source and all the good stuff.
• Experience with AWS, Azure, or GCP; AWS EKS experience is a plus.
• Extra kudos if you’ve flirted with security frameworks, software supply chain security, or vulnerability scanning.
• Extra kudos if you bring a KCNA or CKA certification and aspire to be a future Kubestronaut.
• Startup experience? Even better.  You’ve navigated fast lanes before.

A curious soul who learns faster than a caffeinated squirrel.

The role

We are looking for a Customer Engineer to support key and strategic Nebius GPU Cloud services customers. In this role, you will be a trusted technical advisor, helping clients design, deploy, and scale AI solutions while managing large-scale GPU workloads involving hundreds to thousands of GPUs. You will also collaborate with sales and product teams to drive growth and enhance customer satisfaction.

You’re welcome to work remotely from Europe.

Your responsibilities will include:

• Serve as the primary technical point of contact for troubleshooting and resolving complex AI/ML issues.
• Guide customers in optimizing GPU performance for ML training and inference workloads, ensuring seamless integration and scalability.
• Partner with the sales team to identify new opportunities, promote the latest products, and deliver technical presentations.
• Act as a bridge to product teams, providing customer feedback, relaying feature requests, and ensuring alignment with customer requirements.
• Engage with internal and external stakeholders, negotiate solutions, and effectively drive alignment to address customer challenges.

We expect you to have:

• Experience: 5+ years in roles like Solutions Architect, Technical Account Manager, or Customer Engineer, with hands-on experience in cloud services and AI/ML workloads.
• Proficiency in Infrastructure as Code (IaC) tools like Terraform and Ansible.
• Experience with Kubernetes and Python programming.
• Solid understanding of GPU computing, including ML training, inference workloads, and GPU stacks (e.g., CUDA, OpenCL).
• Customer-centric approach with a proven ability to build trust and foster long-term relationships.
• Strong ability to explain technical concepts to technical and non-technical audiences.

It will be an added bonus if you have:

• Hands-on experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow).
• Experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
• Familiarity with ML tools from NVIDIA, AWS, Azure, and Google Cloud providers.
• Strong project management skills, with the ability to prioritize tasks and deliver on deadlines.
• Proven experience mentoring technical teams and driving team growth.
• Expertise in stakeholder negotiation to support problem resolution and ensure seamless collaboration.

The role

Nebius seeks a Key Customers Solutions Architect to support key and strategic Nebius GPU Cloud services customers. In this role, you will be a trusted technical advisor, helping clients design, deploy, and scale AI solutions while managing large-scale GPU workloads involving hundreds to thousands of GPUs. You will also collaborate with sales and product teams to drive growth and enhance customer satisfaction.

You’re welcome to work remotely from Europe.

Your responsibilities will include: 

• Serve as the primary technical point of contact, troubleshooting and resolving complex AI/ML.
• Guide customers in optimizing GPU performance for ML training and inference workloads, ensuring seamless integration and scalability.
• Partner with the sales team to identify new opportunities, promote the latest products, and deliver technical presentations.
• Act as a bridge to product teams, providing customer feedback, relaying feature requests, and ensuring alignment with customer requirements.
• Engage with internal and external stakeholders, negotiate solutions, and effectively drive alignment to address customer challenges.

We expect you to have:

• Experience: 5 - 10 + years in roles like Cloud Solutions Architect, Technical Account Manager, or Customer Engineer, with hands-on experience in cloud services and AI/ML workloads.
• Proficiency in Infrastructure as Code (IaC) tools like Terraform and Ansible.
• Experience with Kubernetes and Python programming.
• Solid understanding of GPU computing, including ML training, inference workloads, and GPU stacks (e.g., CUDA, OpenCL).
• Customer-centric approach with a proven ability to build trust and foster long-term relationships.
• Strong ability to explain technical concepts to technical and non-technical audiences.

It will be an added bonus if you have:

• Hands-on experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow).
• Experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
• Familiarity with ML tools from NVIDIA, AWS, Azure, and Google Cloud providers.
• Strong project management skills, with the ability to prioritize tasks and deliver on deadlines.
• Proven experience mentoring technical teams and driving team growth.
• Expertise in stakeholder negotiation to support problem resolution and ensure seamless collaboration.

Title: Platform Engineer (title on contract - Senior DevOps Engineer)

Location: Germany; Aachen (Hybrid - 2 days a week in office)

Experience: Senior (IC4)

Job Function: Engineering

Employment Type: Full-Time

Industry: Computer & Network Security 

Job Summary

The Platform Engineer uses expertise in modern development tools and practices to streamline developer operations and support software releases. By encouraging innovation and collaboration, this role supports business objectives through automation, efficient infrastructure architecture, and a focus on reliability, availability and security, helping to ensure integration and delivery of software products. 

Responsible for building and maintaining the tools, processes, and environments that enable efficient software delivery. This role emphasizes automating workflows, containerizing applications, virtualization and hypervisors, implementing CI/CD pipelines, and Infrastructure as Code. 

This role has a dual responsibility of building and maintaining on-premise as well as cloud-based infrastructure. A successful candidate should ideally have a deep knowledge of both, but we can also consider a candidate who is deep in one area and curious about and willing to learn the other. 

Some of the technologies we work on include: Proxmox, Hyper-V, VMWare, Azure, AKS, Jenkins, Kubernetes, GitLab, ArgoCD, Artifactory, AWX, Ansible 

Job Responsibilities 

• Lead the design and implementation of infrastructure automation and deployment processes.
• Operate and optimize hypervisor infrastructure at scale.
• Architect and manage scalable containerization and orchestration solutions for applications.
• Drive continuous integration and continuous delivery (CI/CD) improvements to optimize workflows.
• Monitor and enhance system performance, availability, and security through proactive measures.
• Collaborate closely with cross-functional teams to improve automation and deployment strategies.
• Implement and maintain Infrastructure as Code (IaC) for consistent and reproducible environments.
• Mentor junior engineers, providing technical guidance and fostering skill development.

Minimum Qualifications, Education, and Skills

• Degree in Computer Science, Engineering, or another technical field (or equivalent experience).
• 4 years or more of relevant work experience in DevOps, Platform Engineering, or IT infrastructure. 
• Extensive knowledge of DevOps and Platform Engineering industry trends. 
• Deep understanding of scripting, version control, and infrastructure best practices. 
• Comprehensive knowledge of system performance, security, and reliability. 
• Strategic thinking, exceptional problem-solving abilities, high-level proficiency in relevant tools and technologies. 
• Advanced skills in infrastructure automation and deployment. 
• Expertise in containerization and orchestration, in particular Kubernetes. 
• Experience with optimizing and scaling CI/CD pipelines. 
• Ability to lead complex projects, drive strategic initiatives, and influence decision-making. 
• Strong problem-solving and troubleshooting skills. 
• Ability to mentor junior team members and lead initiatives. 

#LI-NA1

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

Wir bei Capgemini Invent glauben, dass unterschiedliche Perspektiven den Wandel vorantreiben. Als innovative Transformationsberater vereinen wir unsere strategischen, kreativen und wissenschaftlichen Fähigkeiten und arbeiten eng mit unseren Kunden zusammen, um zukunftsweisende Lösungen zu entwickeln. Hilf uns dabei, den Wandel voranzutreiben, der auf die Herausforderungen unserer Kunden von heute und morgen zugeschnitten ist. Informiert und validiert durch Wissenschaft und Daten. Verstärkt durch Kreativität und Design. Und das alles auf der Grundlage von Technologien.

Deine Rolle

Als (Senior) Manager arbeitest du mit interdisziplinären Teams an der Lösung komplexer Kundenherausforderungen.

• In deiner Funktion verantwortest du das Projektmanagement für Executive-Level-Kunden, führst eigene Teams und begleitest die strategische Planung und operative Umsetzung moderner IT-Lösungen und Cloud-Architekturen
• In deiner Leitungsfunktion begleitest du digitale Transformationsprojekte mit Fokus auf Technologien wie Multi-Cloud, digitale Souveränität sowie KI-Integration und führst diese zum Erfolg
• Basierend auf deiner Erfahrung entwickelst du Strategien und Offerings zu den genannten Technologien und positionierst dich als Thought Leader bei unseren Kunden
• Mithilfe deiner Expertise werden unsere Produkte und Services kontinuierlich marktorientiert weiterentwickelt und neue Kundensegmente erschlossen

Dein Profil

• Du hast ein Hochschulstudium in der Fachrichtung Wirtschaftswissenschaften, Informatik, Ingenieurwesen, Mathematik oder einen vergleichbaren Studiengang erfolgreich abgeschlossen
• Du bringst mind. 4 Jahre praktische Erfahrung in der Erstellung von Cloud-Architekturen sowie Cloud-Transformationsplanung und -umsetzung mit
• Du übernimmst Entscheidungsverantwortung, etwa bei der Bewertung und Freigabe von Zielarchitekturen, Landing Zones oder Migrationskonzepten
• Du stellst Qualität durch fundierte Architektur‑Reviews sowie vorausschauende technische Risikosteuerung sicher
• Du bringst fundiertes Wissen zur digitalen Souveränität mit, um dich sicher in Multi‑Stakeholder‑ und regulierten Umgebungen zu bewegen
• Du arbeitest mit modernen Methoden und Tools wie Agile, DevSecOps, CI/CD, Git, Docker oder Kubernetes
• Dein technisches Wissen kannst du vorzugsweise mit Zertifizierungen (z.B. TOGAF, CCSP, Cloud Hyperscaler / Superscaler o. ä.) nachweisen
• Du baust vertrauensvolle Beziehungen zu Kunden auf und wirkst als verlässlicher Sparringspartner
• Du bringst eine hohe Zuverlässigkeit, Teamgeist und Fit für eine weltweit führende Unternehmensberatung mit
• Du besitzt sehr gute Deutsch- und Englischkenntnisse und zeigst Flexibilität und Reisebereitschaft

Was du bei uns schätzen wirst 

• Werde Teil einer international führenden Unternehmensberatung, die durch innovative und wegweisende Projekte, globale Teams und digitales Know-How die Zukunft gestaltet
• Treibe innovative Transformationsprojekte in zukunftsweisenden Branchen und widme dich visionären und strategischen Entwicklungen
• Erlebe unser kontinuierliches Engagement für Chancengleichheit, Vielfalt und Inklusion
• Entwickle dich in unserem wissensorienterten Umfeld, das durch unsere auf Mitarbeiter:innen ausgerichtete Unternehmenskultur geprägt ist
• Profitiere von unseren Benefits zur optimalen Work-Life-Balance mit attraktiven Angeboten rund um Gesundheit & Wellbeing, Zusatzpaketen rund um Mobilität sowie modernen Offices

Über Capgemini

Capgemini ist ein globaler Partner für die KI-gestützte Geschäfts- sowie Technologietransformation. Das Unternehmen schafft messbaren Mehrwert für seine Kunden, indem es die Zukunft von Organisationen gestaltet und im Zusammenspiel von KI, Technologie sowie dem Mensch Realität werden lässt. Seit fast 60 Jahren steht Capgemini für Verantwortung wie auch Vielfalt und beschäftigt über 420.000 Mitarbeitende in mehr als 50 Ländern. Das End-to-End-Leistungsspektrum gründet auf einer umfangreichen Branchenexpertise, einem starken Partner-Ökosystem sowie Kompetenzen in den Bereichen Strategie, Technologie, Design, Engineering und Operations. Die Gruppe erzielte 2025 einen weltweiten Umsatz von 22,5 Milliarden Euro.

Wir freuen uns über deine vollstän­dige Be­wer­bung ausschließlich über unser Bewerbungsportal und unter Angabe deiner Ge­halts­vor­stel­lung, des frühest­mög­lichen Ein­tritts­zeit­punkts sowie deiner Standortpräferenz.

Hier findest du weitere Informationen zu unserem Bewerbungsprozess.

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.

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.

The Team:

We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. We share our technical and product expertise with customers through demos, presentations, technical evaluations, and ongoing support. Technical solutions is a growing global team that collaborates constantly to share knowledge and continuously advance our technical skillset.

The Opportunity:

The Partner Solution Architect (PSA) is a Datadog expert who will work closely with Datadog’s Director, Adoption Services, and is aligned to our Channels & Alliances business segment. The PSA is responsible for supporting a variety of technical initiatives and activities for our partners (for example: cloud migration, application modernization, DevOps transformation). They are accountable for the outcome of these initiatives, and frequently collaborate with both Datadog and Partner resources to drive success. The PSA is a trusted technical advisor for our Partner channel.

You Will:

• Ensure the successful onboarding, training, enablement, and certification of partner technical resources;
• Participate in periodic joint business planning and review sessions to ensure direct alignment between Datadog and Partner technical teams;
• Collaborate internally to support Partner technical initiatives such as end-customer demonstrations and proofs of value; partner team enablement workshops; assessment, advice, and coaching on lead practices;
• Advocate on behalf of Partners’ technical concerns (use cases, feature requests, support issues, e.g.) with Datadog internal teams and personnel, helping to bring those concerns to resolution;

• Analyze and understand Partner service offerings on a regular basis and provide recommendations to enhance the value of those services through greater or improved adoption of Datadog features and capabilities;
• Collaborate with Datadog’s product management, engineering and technical services teams to help identify and prioritize new features and capabilities;
• Continuously help curate and evolve lead/best practices for Datadog platform adoption and success.

You Are:

• Possess a solid technical grounding with hands-on experience of IT Development and/or Operations;
• A demonstrable track-record and never-ending passion for learning;
• A self-starter, tech-savvy professional with solid business acumen; ability to articulate Datadog value from server room to boardroom;
• Confident presentation skills;
• Must be a current EU resident
• Desired hands-on experience in two or more of the following areas:
  • Observability: Datadog, Splunk, AppD, New Relic or Dynatrace
  • Public Cloud: AWS, Azure, GCP, or Alibaba
  • Containerization: Docker, Kubernetes, OpenShift, Cloud Foundry
  • Dev/Scripting: Python, Javascript, Ruby, Perl, PHP, Go
  • Config Mgmt: Terraform, Ansible, Puppet, Chef
  • CI / CD: Jenkins, Gitlab

Bonus Points:

• Previous experience working in a technical role for or supporting channel partners (Systems Integrators, Managed Services Providers, e.g.);
• Previous experience using Datadog and/or other cloud monitoring tools (APM, Infrastructure, Logs, Synthetics, NPM);
• Previous experience with root-cause-analysis, troubleshooting, debugging

Why You Should Apply: 

• Generous and competitive global and US benefits
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities 
• Product training to develop an in-depth understanding of our product and space
• Best in breed onboarding
• Internal mentor and buddy program cross-departmentally
• Friendly and inclusive workplace culture

About Datadog:

Datadog is the monitoring and security platform for cloud applications. Our SaaS product is used by organizations of all sizes across a wide range of industries to enable digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stack, allowing for seamless collaboration and problem-solving among Dev, Ops and Security teams globally. Given the resilience of cloud technologies and importance placed today in digital operations and agility, Datadog continues to innovate and is well positioned for the long term.

The Team:

We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. We share our technical and product expertise with customers through demos, presentations, technical evaluations, and ongoing support. Technical solutions is a growing global team that collaborates constantly to share knowledge and continuously advance our technical skillset.

The Opportunity:

The Partner Solution Architect (PSA) is a Datadog expert who will work closely with Datadog’s Director, Adoption Services, and is aligned to our Channels & Alliances business segment. The PSA is responsible for supporting a variety of technical initiatives and activities for our partners (for example: cloud migration, application modernization, DevOps transformation). They are accountable for the outcome of these initiatives, and frequently collaborate with both Datadog and Partner resources to drive success. The PSA is a trusted technical advisor for our Partner channel.

You Will:

• Ensure the successful onboarding, training, enablement, and certification of partner technical resources;
• Participate in periodic joint business planning and review sessions to ensure direct alignment between Datadog and Partner technical teams;
• Collaborate internally to support Partner technical initiatives such as end-customer demonstrations and proofs of value; partner team enablement workshops; assessment, advice, and coaching on lead practices;
• Advocate on behalf of Partners’ technical concerns (use cases, feature requests, support issues, e.g.) with Datadog internal teams and personnel, helping to bring those concerns to resolution;

• Analyze and understand Partner service offerings on a regular basis and provide recommendations to enhance the value of those services through greater or improved adoption of Datadog features and capabilities;
• Collaborate with Datadog’s product management, engineering and technical services teams to help identify and prioritize new features and capabilities;
• Continuously help curate and evolve lead/best practices for Datadog platform adoption and success.

You Are:

• Possess a solid technical grounding with hands-on experience of IT Development and/or Operations;
• A demonstrable track-record and never-ending passion for learning;
• A self-starter, tech-savvy professional with solid business acumen; ability to articulate Datadog value from server room to boardroom;
• Confident presentation skills;
• Must be a current EU resident
• Desired hands-on experience in two or more of the following areas:
  • Observability: Datadog, Splunk, AppD, New Relic or Dynatrace
  • Public Cloud: AWS, Azure, GCP, or Alibaba
  • Containerization: Docker, Kubernetes, OpenShift, Cloud Foundry
  • Dev/Scripting: Python, Javascript, Ruby, Perl, PHP, Go
  • Config Mgmt: Terraform, Ansible, Puppet, Chef
  • CI / CD: Jenkins, Gitlab

Bonus Points:

• Previous experience working in a technical role for or supporting channel partners (Systems Integrators, Managed Services Providers, e.g.);
• Previous experience using Datadog and/or other cloud monitoring tools (APM, Infrastructure, Logs, Synthetics, NPM);
• Previous experience with root-cause-analysis, troubleshooting, debugging

Why You Should Apply: 

• Generous and competitive global and US benefits
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities 
• Product training to develop an in-depth understanding of our product and space
• Best in breed onboarding
• Internal mentor and buddy program cross-departmentally
• Friendly and inclusive workplace culture

About Datadog:

Datadog is the monitoring and security platform for cloud applications. Our SaaS product is used by organizations of all sizes across a wide range of industries to enable digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stack, allowing for seamless collaboration and problem-solving among Dev, Ops and Security teams globally. Given the resilience of cloud technologies and importance placed today in digital operations and agility, Datadog continues to innovate and is well positioned for the long term.

Stellenbeschreibung

Als Site Reliability Engineer in unserem Platform Squad wirst du eine Schlüsselrolle dabei spielen, Flips Infrastruktur schnell, belastbar und bereit für Skalierung zu halten. Du wirst die Reliability-Kultur, Tools und Praktiken gestalten, die es unseren Engineering-Teams ermöglichen, mit Vertrauen zu veröffentlichen – im großen Maßstab und ohne Kompromisse bei der Verfügbarkeit. Diese Rolle ist perfekt für einen Engineer mit Leidenschaft für den Aufbau von Hochdurchsatz- und hochverfügbaren Systemen, der mitgestalten möchte, wie eine schnell wachsende SaaS-Plattform im Produktivbetrieb läuft.

Was dich bei uns erwartet

• Skalierung ermöglichen: Erweitere und optimiere unsere Cloud-Infrastruktur auf Azure und unsere Kubernetes-Cluster – ausgelegt auf hohen Durchsatz und höchste Verfügbarkeit – um das schnelle weltweite Wachstum von Flip zu unterstützen.

• Resilienz & Sicherheit gewährleisten: Entwirf und implementiere Zero-Downtime-Deployments, Rollback-Mechanismen und Disaster-Recovery-Strategien, die unsere Plattform rund um die Uhr verfügbar halten.

• Observability schaffen: Entwickle unseren LGTM-Stack (Loki, Grafana, Tempo, Mimir) weiter, um jedem Team die nötige Sichtbarkeit zu geben – und nutze ihn, um unsere SLOs zu definieren und zu optimieren.

• Alles automatisieren: Entwirf, entwickle und optimiere Infrastructure as Code mit Pulumi in Go, um manuellen Aufwand (Toil) zu eliminieren und unsere Plattform für Engineering-Teams als Self-Service bereitzustellen.

• Reliability-Praktiken vorantreiben: Fördere CI/CD Best Practices, Incident Management, Post-Mortems und Developer Experience in der gesamten Engineering-Organisation.

• Unsere Roadmap gestalten: Arbeite mit deinem Squad und dem Engineering-Leadership zusammen, um die Richtung der Plattform zu definieren – von skalierbaren Hochdurchsatz-Systemen und Kostenoptimierung bis hin zu Security Posture und Compliance.

Was du mitbringst

Wir suchen einen Hands-on, produktorientierten Engineer mit einer Leidenschaft für hochverfügbare Hochdurchsatz-Systeme – und dem Zuverlässigkeit genauso wichtig ist wie Geschwindigkeit.

Must-Have Qualifikationen

• Du hast 1–3 Jahre Hands-on-Erfahrung als Site Reliability Engineer (SRE), Platform Engineer, DevOps Engineer, Infrastructure Engineer, Cloud Engineer oder Backend Engineer mit starkem Infrastruktur-Fokus.

• Erfahrung im Betrieb und in der Skalierung von Cloud-Infrastrukturen (Azure, GCP, AWS).

• Tiefe Kenntnisse in Kubernetes und Container-Orchestrierung in Produktionsumgebungen.

• Hands-on-Erfahrung mit modernen Observability-Stacks (z. B. Prometheus, Mimir, Loki, ELK) und vertraut mit der Definition und dem Betrieb von SLOs und Error Budgets.

• Fundierte Software-Entwicklungskenntnisse in Go (bevorzugt, da unser IaC auf Pulumi in Go läuft), Python oder Kotlin.

• Hands-on-Erfahrung mit Infrastructure as Code (z. B. Pulumi, OpenTofu, Terraform) und Konfigurations-Tools (z. B. Ansible, Chef).

• Ein kollaboratives Mindset, starke Kommunikationsfähigkeiten und verhandlungssicheres Englisch.

• Bereitschaft zur Teilnahme an On-Call-Rotationen (Rufbereitschaft), um die Zuverlässigkeit unserer Plattform zu gewährleisten.

Nice-to-Have Qualifikationen

• Erfahrung im Aufbau und Betrieb von Hochdurchsatz- und hochverfügbaren Systemen im Produktivbetrieb.

• Speziell Erfahrung mit Azure Kubernetes Service (AKS).

• Erfahrung mit Kubernetes Gateway API und Envoy Gateway.

• Vertrautheit mit GitOps-Workflows und CI/CD-Pipeline-Design.

• Kenntnisse in Service-Mesh-Technologien (z. B. Linkerd, Istio).

• Erfahrung mit Kubernetes Operators (z. B. Strimzi, CNPG).

• Erfahrung mit dem Betrieb von High-Availability PostgreSQL.

Job Teaser

As a Site Reliability Engineer in our Platform Squad, you will be a key player in keeping Flip's infrastructure fast, resilient and ready to scale. You'll shape the reliability culture, tooling and practices that allow our engineering teams to ship with confidence - at scale and without compromising availability.

This role is perfect for an engineer who is passionate about building high-throughput, highly available systems and who wants to shape how a fast-growing SaaS platform runs in production.

What awaits you with us

• Enable scaling: Further expand and optimize our cloud infrastructure on Azure and our Kubernetes clusters - designed for high throughput and highest availability - to support Flip's rapid growth across the globe.
• Ensure resilience & safety: Design and implement zero-downtime deployments, rollback mechanisms and disaster-recovery strategies that keep our platform available around the clock.
• Create observability: Evolve our LGTM stack (Loki, Grafana, Tempo, Mimir) to give every team the visibility they need - and use it to define and optimize our SLOs.
• Automate everything: Design, develop and optimize infrastructure as code with Pulumi in Go, eliminating toil and making our platform self-service for engineering teams.
• Champion reliability practices: Promote CI/CD best practices, incident management, post-mortems and developer experience across the entire engineering organization.
• Shape our roadmap: Collaborate with your squad and engineering leadership to define the platform's direction - from scalable, high-throughput systems and cost optimization to security posture and compliance.

What you bring to the table

We're looking for a hands-on, product-minded engineer who is passionate about high-throughput, highly available systems - and who cares about reliability as much as velocity.

Must-Have Qualifications

• You have 1–3 years of hands-on experience as a Site Reliability Engineer (SRE), Platform Engineer, DevOps Engineer, Infrastructure Engineer, Cloud Engineer, or Backend Engineer with a strong infrastructure focus.
• Experience operating and scaling cloud infrastructures (Azure, GCP, AWS).
• Deep knowledge of Kubernetes and container orchestration in production environments.
• Hands-on experience with modern observability stacks (e.g. Prometheus, Mimir, Loki, ELK) and comfortable defining and operating SLOs and error budgets.
• Solid software development skills in Go (preferred, since our IaC runs on Pulumi in Go), Python or Kotlin.
• Hands-on experience with infrastructure as code (e.g. Pulumi, OpenTofu, Terraform) and configuration tooling (e.g. Ansible, Chef).
• A collaborative mindset, strong communication skills and business-fluent English.
• Willingness to participate in on-call rotations to ensure the reliability of our platform.

Nice-to-Have Qualifications

• Experience building and operating high-throughput, highly available systems in production.
• Experience with Azure Kubernetes Service (AKS) specifically.
• Experience with Kubernetes Gateway API and Envoy Gateway.
• Familiarity with GitOps workflows and CI/CD pipeline design.
• Knowledge of service mesh technologies (e.g. Linkerd, Istio).
• Experience with Kubernetes Operators (e.g. Strimzi, CNPG)
• Experience with operating High-Availability PostgreSQL

• Write and maintain UI copy in Nebius Console that improves and streamlines the user experience, ensuring consistency and alignment with product documentation.
• Provide alternative UI copy options based on the proposed design solutions.
• Collaborate closely with product managers, designers, and engineers on product initiatives.
• Develop and maintain voice & tone guidelines; define and scale content patterns within the design system.
• Simplify complex technical scenarios into clear, actionable interface language.
• Conduct content audits of the existing interfaces and identify areas for improvement.
• Actively participate in the life and processes of the Product Design Team.

• 5+ years of experience in UX writing / content design.
• Strong product thinking and the ability to approach design as a system of interconnected user scenarios.
• Excellent written and spoken English.
• Familiarity with cloud computing concepts (virtual machines, containers, Kubernetes, storage, networking, etc.) and ML/AI concepts (training, inference, fine-tuning, etc.).
• Proficiency in Figma.
• A portfolio featuring real interface cases (before/after examples and clear explanation of decision logic).
• Solid understanding of core UX principles: user flows, edge cases, states, and system feedback.

• Experience in technical writing.
• Experience using AI-powered plugins in Figma or other tools to support content creation workflows.
• Review UI texts directly in the codebase and occasionally update or fix copy within the code when necessary.

Senior Sales Engineer - Data & AI Security (Germany - remote)

About the Role:  

Veeam, following its acquisition of Securiti AI - the leader in AI-powered data security posture management (DSPM) - is seeking a Senior Sales Engineer to drive technical leadership in our sales team, focusing on the Securiti AI portfolio. You will partner with a Securiti Sales Specialist and support 3–5 Account Executives and Veeam Solution Engineers as the technical subject matter expert. 

You will guide customers from needs assessment to solution design, delivering hands-on demos and proof-of-concepts to showcase value. Success in this role requires strong technical skills and the ability to build trust with clients. 

What You’ll Do: 

• Act as the primary technical contact for Securiti AI solutions during the sales cycle
• Lead technical discussions and deliver customized security solutions
• Address customer needs in data discovery, posture management, and compliance
• Design and present product demonstrations and proof-of-concepts
• Collaborate with product, engineering, and customer success teams to ensure smooth transitions 

What You’ll Bring: 

• Significant experience in pre-sales or sales engineering
• Strong understanding of data and/or cloud security
• Effective communicator with both technical and business stakeholders
• 10+ years technical sales experience in security
• 15+ years in Software/SaaS/Enterprise technical sales
• Hands-on experience with AWS, Azure, or GCP
• Knowledge of data privacy/security standards (e.g., GDPR, NIST 800-53, ISO 27001)
• Experience with DSPM frameworks, Linux, Kubernetes, or cloud data systems
• Relevant certifications (CISSP, CISM, or cloud-specific) 

What You’ll Get: 

Veeam offers benefits that support your whole self: 

• 30 paid vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Statutory public health insurance with employer and employee contributions
• Statutory pension scheme with employer and employee contributions
• Statutory accident insurance fully funded by Veeam
• Supplemental pension plan with employer match and salary sacrifice option
• Supplemental accident insurance with 24/7 worldwide coverage
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning

Please note: If an applicant is permanently located outside of Germany, Veeam reserves the right to decline the application for this position.

#LI-CA1 #LI-REMOTE

Token Factory is a part of  Nebius Cloud, one of the world’s largest GPU clouds, running tens of thousands of GPUs. We are building an inference platform that makes every kind of foundation model — text, vision, audio, and emerging multimodal architectures — fast, reliable, and effortless to deploy at massive scale. To deliver on that promise, we need an engineer who can make the platform behave flawlessly under extreme load and recover gracefully when the unexpected happens.

In this role you will own the reliability, performance, and observability of the entire inference stack. Your day starts with designing and refining telemetry pipelines — metrics, logs, and traces that turn hundreds of terabytes of signal into clear, actionable insight. From there you might tune Kubernetes autoscalers to squeeze more efficiency out of GPUs, craft Terraform modules that bake resilience into every new cluster, or harden our request-routing and retry logic so even transient failures go unnoticed by users. When incidents do arise, you’ll rely on the automation and runbooks you helped create to detect, isolate, and remediate problems in minutes, then drive the post-mortem culture that prevents recurrence. All of this effort points toward a single goal: scaling the platform smoothly while hitting aggressive cost and reliability targets.

Success in the role calls for deep fluency with Kubernetes, Prometheus, Grafana, Terraform, and the craft of infrastructure-as-code. You script comfortably in Python or Bash, understand the nuances of alert design and SLOs for high-throughput APIs, and have spent enough time in production to know how distributed back-ends fail in the real world. Experience shepherding GPU-heavy workloads — whether with vLLM, Triton, Ray, or another accelerator stack — will serve you well, as will a background in MLOps or model-hosting platforms. Above all, you care about building self-healing systems, thrive on debugging performance from kernel to application layer, and enjoy collaborating with software engineers to turn reliability into a feature users never have to think about.

If the idea of safeguarding the infrastructure that powers tomorrow’s multimodal AI energizes you, we’d love to hear your story.

The opportunity
Unity Studio is our cutting-edge, browser-based real-time 3D authoring tool. While our current focus is on non-gaming use cases, our ambitious vision is to evolve Studio into a universal, web-based collaboration hub for any Unity Project. We are looking for an Engineering Manager to lead the talented team bringing Unity Projects directly to the web browser.

As the Engineering Manager, you will lead a full-stack development team with both backend and frontend engineering functions reporting directly to you. Your primary impact will be unlocking your team's full potential, empowering them to operate at maximum velocity. You will orchestrate the entire engineering lifecycle—seamlessly balancing rapid bug fixes for our live product with long-term, ambitious research initiatives.

What success looks like in this role:

Short-term: Rapidly establishing trust with your engineering team, streamlining current agile workflows, and ensuring reliable, high-quality releases for our live product.

Long-term: Successfully scaling the platform's architecture to support comprehensive web-based collaboration for all Unity projects, and fostering a resilient, high-performance engineering culture.

This is a rare opportunity to be at the forefront of 3D technology. You will directly shape the next generation of development workflows, building the foundational tools that empower millions of creators worldwide to build amazing new games and 3D applications.

What you'll be doing

• Act as the vital bridge between Product Management, Design, cross-functional Unity teams, and the Studio engineers to ensure clear communication and strategic alignment.
• Champion technical excellence by orchestrating collaboration on the Studio codebase, guiding architectural decisions, overseeing PR reviews, and managing a streamlined release process.
• Balance product velocity with platform health by actively listening to the development team and translating technical pain points into actionable roadmaps.
• Drive engineering execution by optimizing agile methodologies, unblocking developers, and ensuring the predictable delivery of high-quality features.
• Foster a high-performance, supportive culture by mentoring and coaching your team, actively guiding their professional development and career growth.

What we're looking for

• Demonstrated experience managing full-stack engineering teams, with the ability to rapidly build trust, mentor engineers, and foster a high-performance, supportive engineering culture.
• Hands-on experience optimizing agile workflows and managing reliable, high-quality release cycles while simultaneously balancing live product stability with long-term research initiatives and familiarity with full-stack development, and architectural decision-making, with the ability to guide reviews and drive sound technical decisions.
• Ability to act as a bridge between Engineering, Product Management, Design, and cross-functional teams, translating complex technical challenges into clear, actionable roadmaps.
• Experience with the Unity Editor and its ecosystem, with an understanding of how projects are structured, built, and iterated upon.
• Experience scaling platform architecture to support ambitious, long-term goals, with a passion for shaping the future of web-based collaboration tools and empowering developer communities at scale.

You might also have

• Experience working in larger companies, acting as the interface with other teams and external partners
• Experience creating gaming applications or 3D industry applications
• Experience with backend technology (AWS, Azure, Kubernetes...)
• Experience with DevOps pipelines
• Experience with release processes
• Experience integrating AI capabilities into product workflows

Additional information

• Relocation support is not available for this position
• Work visa/immigration sponsorship is not available for this position

Benefits
At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.

Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.

While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program

Life at Unity
Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.

Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.

Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at DPO@unity.com.

#SEN

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.

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.

The role

We’re looking for a Software Engineer with strong C++ expertise to join the team building and operating Nebius Data Platform — a distributed storage and a processing platform that acts as the company’s “source of truth” and the backbone of many internal (and some external) products.

Nebius Data Platform is a single multi-tenant ecosystem based on YTsaurus — instead of running separate HDFS/Kafka/HBase-style systems, we provide storage, compute, and analytics capabilities inside one platform.

Built on top of the open-source YTsaurus ecosystem, we run and extend our own Nebius distribution and develop significant in-house functionality (core and platform-level). We can design, implement, and roll out features end-to-end on our clusters without waiting for upstream approvals and contribute upstream when it makes sense.

At scale today, this includes~500 servers, ~20k CPU cores and ~10 PB of compressed data in our largest production cluster, supporting workloads ranging from business-critical pipelines and financial transactions to large-scale ML/LLM training datasets and compute.

What’s inside the platform

You’ll work on a system that includes (and ties together):

• Distributed Storage (Cypress): transactional semantics, tiered storage, erasure coding, replication, and strong reliability expectations.
• Compute & ETL: a cluster-wide job scheduler (tens of thousands of cores), MapReduce, YQL for SQL-like data processing, and SPYT (Spark over YTsaurus) for modern data engineering.
• Interactive analytics (CHYT): ClickHouse® instances spun up directly on compute nodes for fast SQL over data in-place.
• Dynamic Tables: low-latency NoSQL KV with distributed ACID transactions for OLTP-style workloads and feature stores.
• Orchestracto: workflow orchestration deeply integrated with the platform (Airflow-like, but platform-native).

What you’ll do

We’re looking for engineers who combine strong systems skills with product sense: understanding who uses the platform, why certain capabilities matter, and making pragmatic trade-offs to maximize impact. On our team, engineering work is expected to be connected to real users and outcomes — you’ll regularly align with internal stakeholders, clarify requirements, and help drive prioritization.

In this role, you will:

• Design and implement new functionality in YTsaurus core (C++) with production reliability in mind.
• Build and evolve platform-level capabilities: platform architecture and operating model—multi-cluster growth, shared primitives, and a consistent experience that scales with new teams and use cases.
• Improve end-to-end platform experience for internal (and external-facing) users: APIs, guardrails, debugging workflows, and automation.
• Own production quality: incident response / on-call rotation, root cause analysis, and turning learnings into durable fixes.

Example projects

• Roll out sharded YTsaurus masters (incl. Kubernetes operator support) and build automatic balancing of metadata across master cells (consensus groups) to remove control-plane bottlenecks and unlock 10–100x cluster growth.
• Make CHYT interactive SQL faster and more predictable at high load via performance work like data-skipping / min-max-style indexes and improved execution introspection.
• Turn Orchestracto into a platform product by defining the building blocks, developer experience, and governance for how teams create and share workflows.
• Scale and harden Parquet-on-S3 for native YTsaurus workloads by tackling replication/movement, consistent lifecycle semantics, and master-server metadata optimizations for performance and reliability.
• Design and ship complete, trustworthy audit trails for data changes (who/what/when) across heterogeneous storage and compute paths.

Tech stack

• Core: modern C++ (C++20, async + multithreaded primitives)
• Services & tooling: Go and Python (microservices, utilities, integration tests)

What we expect

• 5+ years of software engineering experience.
• Strong C++ skills (you’ll write core code).
• Working knowledge of Python and/or Go (you don’t have to be expert, but should be comfortable navigating them).
• Experience developing and/or operating high-load, distributed services.
• Production mindset: ability to use SSH, read logs/metrics/traces, and debug distributed systems behavior.
• Solid CS fundamentals: algorithms, data structures, concurrency basics.

Nice to have

• Experience with Big Data systems (YTsaurus/Hadoop/Spark/ClickHouse/Kafka-like ecosystems).
• Experience with multi-tenant platforms, schedulers, resource isolation, quotas, and reliability engineering.
• Strong performance engineering skills (profiling, lock contention, latency/throughput tradeoffs).

We conduct coding interviews as part of the process.

The role

At Nebius, we’re building a next-generation AI compute platform for large-scale ML training and inference — from a few nodes to thousands of GPUs.
We’re looking for a Technical Product Manager to own product direction for Soperator — our Slurm-on-Kubernetes control plane for GPU clusters.
In this role, you will shape how ML engineers and research teams run, scale, and optimize distributed workloads in production.
If you care about systems that combine performance, reliability, and developer experience at the frontier of AI infrastructure, this role is for you.

Your responsibilities will include: 

• Own the full user journey across Soperator clusters: Slurm workflows, dashboards, alerts/notifications, node lifecycle, and training/inference capacity management.
• Define product direction end-to-end: problem discovery → solution design → delivery → adoption.
• Lead deep customer discovery through interviews, usage analytics, and workload analysis to uncover high-impact opportunities.
• Drive execution across platform teams: compute, networking, storage, observability, IAM and etc.
• Translate frontier ML and infrastructure ideas into practical product capabilities for real-world GPU clusters.
• Define success metrics, prioritize roadmap decisions with data, and ensure measurable customer/business impact.
• Lead the open-source strategy and execution for Soperator: shape public roadmap themes, prioritize OSS-facing capabilities, and ensure strong adoption in the community.  

We expect you to have: 

• 3–5+ years in Product Management, ML infrastructure/MLOps, distributed systems, or cloud platform engineering.
• Strong technical depth in distributed systems, cloud infrastructure, or ML platforms.
• Hands-on familiarity with large-scale ML training and orchestration tools (e.g., Slurm, Kubernetes, Ray).
• Track record of shipping technically complex products with multiple engineering teams.
• Strong communication and stakeholder management across engineering, research, and customers.
• Experience with product analytics, data-informed prioritization, and experimentation.
• High ownership, high learning velocity, and comfort operating in fast-moving AI infrastructure environments.

It will be an added bonus if you have: 

• Experience with GPU platforms and HPC primitives: InfiniBand/RDMA, topology-aware scheduling, high-throughput storage.
• Practical understanding of modern ML training stacks: PyTorch, DeepSpeed, FSDP/ZeRO, NCCL.
• Familiarity with efficiency and reliability metrics: Goodput, MFU, failure modes, preemption handling, health checks.
• Exposure to large-scale LLM training/inference systems.
• Experience in observability, performance tuning, or SRE/reliability engineering.
• Customer-facing technical experience (solutioning, support, architecture advisory).

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. 

Nebius Managed Kubernetes (mk8s) mission is to grow the Nebius cloud platform by providing a Kubernetes-native way to run AI systems with high efficiency and low operational overhead.
With a single click, it provides a Kubernetes cluster on top of Nebius services for compute (VMs) and networking.
In 2026, the service is scaling 10× and is expected to manage customer workloads across tens of thousands of GPU servers in more than 10 data centers.

You will lead the mk8s Core team, one of three mk8s teams. The Core team owns the API, the core of the service control plane, cluster autoscaling, platform integrations, and running k8s add-ons.

At Nebius, team leads are hands-on. We expect you to be a senior or staff engineer now (or earlier in your career). You will start as an individual contributor to gain context, then take on managerial responsibilities.

In this position, you will be responsible to:

• Lead by example. Set the quality bar by spending a significant portion of your time on IC work: writing and reviewing code, leading projects, and participating in on-call rotation, incident mitigation, and post-incident analysis.
• Manage 4–8 mid-to-senior engineers. Provide context, coach, and give regular feedback.
• Maintain the technical vision for your area of responsibility.
• Collaborate with the Product Manager and Service Owner to shape product vision and plans.

Examples of outcomes you could drive as a Team Lead

• Optimize the service control plane to create and manage 20K GPU nodes in a single Kubernetes cluster, enabling a major contract for the company.
• Integrate cluster autoscaling approaches (e.g., Karpenter) to improve resource utilization and support seamless auto-upgrades.
• Provide a Kubernetes-native way to use local disks to reduce disk I/O bottlenecks for AI training and inference, improving efficiency.
• Deliver managed Layer 7 load balancers to reduce operational overhead for customers.

What you will bring to the table:

• 8+ years of professional software engineering or management experience
• Excellent knowledge of Golang, or you are ready to quickly switch to this programming language
• Expertise with
• Multi-month technical projects
• Tech leading engineers
• Owning multi-month technical projects.

It would be an added bonus if you had:

• Experience with Team management, Kubernetes administration, Developing Kubernetes controllers

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 are seeking a highly skilled and customer-focused professional to join our team as a Solutions Architect specializing in Cloud infrastructure and MLOps. As a Cloud Solutions Architect, you will play a pivotal role in designing and implementing cutting-edge solutions for our clients, leveraging cloud technologies for ML/AI teams and becoming a trusted technical advisor for building their pipelines.

You’re welcome to work from any DACH country (Germany, Austria, Switzerland).

Your responsibilities will include: 

• Act as a trusted advisor to our clients, providing technical expertise and guidance throughout the engagement. Conduct PoC, workshops, presentations, and training sessions to educate clients on GPU cloud technologies and best practices.
• Collaborate with clients to understand their business requirements and develop solution architecture that align with their needs: design and document Infrastructure as code solutions, documentation and technical how-tos in collaboration with support engineers and technical writers.
• Help customers to optimize pipeline performance and scalability to ensure efficient utilization of cloud resources and services powered by Nebius AI.
• Act as a single point of expertise of customer scenarios for product, technical support, marketing teams.
• Assist to Marketing department efforts during events (Hackathons, conferences, workshops, webinars, etc.)

We expect you to have: 

• 5+ years of experience as a cloud solutions architect, system/network engineer, developer or a similar technical role with a focus on cloud computing
• Strong hands-on experience with IaC and configuration management tools (preferably Terraform/Ansible), Kubernetes, skills of writing code in Python
• Solid understanding of GPU computing practices for ML training and inference workloads, GPU software stack components, including drivers, libraries (e.g. CUDA, OpenCL)
• Excellent communication skills, fluency in German or French preferred
• Customer-centric mindset

It will be an added bonus if you have: 

• Hands-on experience with HPC/ML orchestration frameworks (e.g. Slurm, Kubeflow)
• Hands-on experience with deep learning frameworks (e.g. TensorFlow, PyTorch)
• Solid understanding of cloud ML tools landscape from industry leaders (NVIDIA, AWS, Azure, Google) 

The role

We’re looking for a Senior Backend Software Engineer to help develop our hyperscaling platform.
We have a lot of tasks on Golang and little less on Java and Python.
You're welcome to work from our offices in Prague, Amsterdam, or Berlin— hybrid or remotely.

In this position, your responsibility will be to:
Developing fault-tolerant, reliable cloud services: cloud infrastructure, managed databases, managed Kubernetes, billing, monitoring systems, ML service and more.

We expect you to have:

• 5+ years of professional software engineering experience
• Excellent knowledge of Golang or you are ready to quickly switch to this programming language
• Ability to write reliable code and dig into complex problems
• Teamwork-oriented approach

It would be an added bonus if you had:

• Experience designing high-load and scaling services

We conduct coding interviews as part of the process.

The role

We’re looking for a Backend Engineer to contribute to the development of our hyperscaler platform.

Your responsibilities will include:

Develop fault-tolerant, reliable cloud services: cloud infrastructure, managed databases, managed Kubernetes, billing, monitoring systems, ML service and more.

We expect you to have: 

• 5+ years of professional software engineering experience;
• Knowledge of C++ programming language;
• Knowledge of Python, Java, and Go is a plus;
• Ability to write reliable code and dig into complex problems;
• Teamwork-oriented approach;
• Fluency in English.

Nice to have:

Experience designing high-load and scaling services.

We conduct coding interviews as part of the process.

The role 

The Data Engineering team is responsible for building and maintaining robust data infrastructure that powers analytics, and business intelligence across Nebius. We design and implement scalable data pipelines, optimize data storage and processing, and enable data-driven decision making across the organization. The team works closely with product teams and business stakeholders to ensure alignment with company goals.We are looking for a Data Engineer to design, build, and maintain our data infrastructure and pipelines. You will work on processing large-scale datasets, optimizing data workflows, and enabling analytics capabilities that support our rapidly growing cloud platform.

Your responsibilities: 

• Design, develop, and maintain scalable data pipelines.
• Build and optimize data infrastructure.
• Implement data quality monitoring and validation frameworks.
• Optimize data storage, processing, and query performance for large-scale datasets.
• Design and implement data models for analytics and reporting use cases.
• Develop tools and automation to improve data engineering workflows and productivity.
• Ensure data governance, security, and compliance standards are met.
• Participate in on-call rotation to support production data systems.

Must-haves: 

• 3+ years of experience in data engineering or related roles.
• Experience building and maintaining data pipelines using orchestration tools (e.g., Airflow, Prefect, Dagster).
• Strong proficiency in SQL and solid programming skills in Python.
• Experience with distributed data processing frameworks (e.g., Apache Spark, or similar).
• Knowledge of data modeling principles and best practices.
• Understanding of data architectures and storage systems.

Nice-to-haves: 

• Experience with real-time data streaming platforms.
• Familiarity with Infrastructure as Code tools (Terraform, etc).
• Experience with containerization (Docker) and Kubernetes.
• Knowledge of data governance and privacy frameworks (GDPR, SOC2).
• Knowledge of data quality and observability tools (Great Expectations, etc.).

We conduct coding interviews as part of the process.

Technical Account Managers are highly experienced Architects who bring both deep technical expertise and strong interpersonal skills to support a small portfolio of strategic clients (approximately 3 per TAM). They must be quick on their feet and able to put a positive spin on challenging customer situations, both in the boardroom with a client CTO and while sharing the command line with a client admin. They must be effective technically, both as communicators and doers. They must be capable of managing and maintaining a client relationship, while keeping a tight organizational watch over the technical aspects of their accounts.

How you'll make an impact

• Collaborate with the customer and the internal account team to jointly identify short and long-term priorities and develop the associated engagement plan
• Manage project milestones in partnership with Customer Success Managers and clients, contribute to deliverables, provide regular status updates and proactively identify and mitigate issues and risks
• Serve as a central point for client technical information and contribute to the account strategy alongside the broader account team
• Support the growth and effectiveness of the Field Engineering team through documentation, process improvements, and knowledge sharing
• Act as the primary technical advisor for client teams, providing guidance and hands-on support across a range of areas, including:
  • Dataiku platform architecture and deployment
  • Platform operations and upgrades
  • Best practices for platform usage
  • Security, data management, and compute resources
  • ML-Ops, monitoring, and scaling strategies
• Assist clients in integrating the product into their systems and troubleshoot technical challenges
• Capture client feedback and feature requests to inform the Product and Engineering teams
• Advise client tech leaders on complementary technologies and long-term technical strategy.
• Explore and support advanced use cases involving Dataiku, such as edge computing, deep learning, and MLOps

What you'll need to be successful

• 7+ years of experience in a customer-facing technical role
• Native or bilingual proficiency in German
• Strong communication and client relationship skills
• Experience supporting both pre- and post-sales engagements
• Proficiency in Linux system administration, including networking
• Experience with identity and access management tools (e.g., LDAP, Kerberos, Active Directory, IAM)
• Hands-on experience with cloud platforms (AWS, Azure, GCP)
• Hands-on experience with the Kubernetes ecosystem for setup, administration, troubleshooting and tuning
• Familiarity with the Hadoop and/or Spark ecosystems

How you'll stand out 

• Experience with Python
• Data-Science knowledge
• Basic knowledge of Java
• Familiarity with ML-Ops practices and tools

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

• Initial call with a member of our Technical Recruiting team
• Video call with the TAM Hiring Manager
• Technical Assessment to show your skills (Home Test)
• Debrief of your Tech Assessment with TAM Team members
• Final Interview with the VP Field Engineering

#LI-JR1

SUMMARY

As a Principal Solutions Engineer you will work closely with Wiz’s CTO, Field CTO, Customer Success, Product Management, and R&D organizations to maintain alignment and ensure coordinated efforts across the sales process.

WHAT YOU’LL BRING

• Strong technical background with a solid understanding of core IT, InfoSec, Cloud, and DevOps concepts.
• Proven skillset and experience with a career path focused on public cloud architecture (AWS, Azure, GCP).
• SME level knowledge of Kubernetes and containers with the ability to architect and troubleshoot complex environments.
• Ability to lead conversations focused at various audiences including technical, business, and executive level.
• Be passionate in regard to continuous self-improvement and learning to maintain technical leadership.
• Experience and ability to code and understand developer workflows. Git, CI/CD, helm, terraform etc
• Hands on experience deploying and troubleshooting various k8s distributions
• Solid understanding of computer networking concepts along with hands on experience in cloud 
  networking
• Comfortable leading security architecture discussions with various audiences.
• Knowledge of ASM methodologies, network reconnaissance, cloud security, and vulnerability assessment.
• Full professional fluency in German (written and verbal)
• Proficiency in an additional European language is a plus. 

WHAT YOU’LL DO

• Provide technical and business-relevant feedback into Product Management based on field engagements to improve Wiz’s position and value messaging to prospects and clients.
• Collaborate with Wiz sales teams on strategic opportunities in demonstrating the business and technical value of the Wiz platform.
• Assist SEs and prospects during the POC process with advanced use cases, installation/deployment, and troubleshooting.
• Lead regular thought leadership sessions with the field teams sharing insights and approaches derived through customer engagement to improve our effectiveness in messaging and delivering value to prospective clients and existing customers.
• Assist in messaging and selling Wiz platform capabilities to prospects and customers.

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 Germany and be able to speak fluent German and English, 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 German and English

SUMMARY

As a Principal Solutions Engineer you will work closely with Wiz’s CTO, Field CTO, Customer Success, Product Management, and R&D organizations to maintain alignment and ensure coordinated efforts across the sales process.

WHAT YOU’LL BRING

• Strong technical background with a solid understanding of core IT, InfoSec, Cloud, and DevOps concepts.
• Proven skillset and experience with a career path focused on public cloud architecture (AWS, Azure, GCP).
• Deep, practical knowledge of the AppSec landscape, including Application Security Posture Management (ASPM), SAST, DAST, SCA, and the operational use of SBOMs (SPDX/CycloneDX) and their practical use cases for vulnerability and license management.
• Demonstrable proficiency in one or more high-level languages (e.g., Python, Go, Rust) and/or advanced shell scripting. 
• Experience and ability to code and understand developer workflows. Git, CI/CD, helm, terraform etc
• SME level knowledge of Kubernetes and containers with the ability to architect and troubleshoot complex environments.
• Exceptional ability to present complex technical concepts to a wide range of audiences—from deeply technical developer teams to executive-level (CISO, CTO) stakeholders.
• Be passionate in regard to continuous self-improvement and learning to maintain technical leadership.
• Full professional fluency in German (written and verbal)
• Proficiency in an additional European language is a plus. 

WHAT YOU’LL DO

• Serve as the company's top field expert in application and cloud-native security and provide technical and business-relevant feedback into Product Management based on field engagements to improve Wiz’s position and value messaging to prospects and clients.
• Collaborate with Wiz sales teams on strategic opportunities in demonstrating the business and technical value of the Wiz platform.
• Assist SEs and prospects during the POC process with advanced use cases, installation/deployment, and troubleshooting.
• Lead regular thought leadership sessions with the field teams sharing insights and approaches derived through customer engagement to improve our effectiveness in messaging and delivering value to prospective clients and existing customers.
• Assist in messaging and selling Wiz platform capabilities to prospects and customers.

SUMMARY

WHAT YOU’LL DO

• Lead threat modeling and security review exercises across Wiz’s production and CI/CD environments – identifying and mitigating risks in our products and the cloud services that support them 
• Drive vulnerability management and remediation efforts – prioritizing issues, implementing mitigations, and designing strategic preventative controls 
• Extend our detection and response capabilities – building scalable solutions to identify malicious activity, triage alerts, and investigate and remediate incidents  
• Build deep functional partnerships with Wiz’s engineering and operations teams – helping them deliver secure-by-design solutions 

WHAT YOU’LL BRING

• 5+ years of experience in security engineering or security operations work in cloud environments, with a focus on a combination of the below: 
• AWS platforms and services (we will also consider equivalent experience in Azure and GCP) 
• Kubernetes (AWS EKS) and container infrastructure 
• IAM and managing cloud identities at-scale 
• Secure development and application of IAC solutions (Terraform, Helm) 
• Cloud-native observability and management tools 
• Development experience in Go, Python and Rust

PREFERRED QUALIFICATIONS

• Bachelor's degree in computer science or a related field and / or candidates with equivalent job experience in lieu of a degree 
• Experience working with remote, globally distributed teams  
• Experience working in organizations that develop software and / or operate managed infrastructure and technology services for their own customers   
• Experience with CNAPP, CSPM, or CIEM solutions

#LI-Remote

The position

You'll be joining a team of engineers across Frontend, Backend, SRE and QA. We're organised into cross-functional development teams assigned to specific verticals.

This role is open for several teams, and we will define the exact team that you will be joining during the interview process based on the business needs and your preferences.

Regardless of the specific team, you will be working on building tools, APIs and integrations for one of our products.

Our backend is built with Elixir and Phoenix, with a Postgres database. We use React and Nextjs for our front-end. Gitlab is used as a version control tool, issue tracker and a CI/CD solution. Our applications are hosted on AWS. We fully rely on our CI for deployments and deploy multiple times per day.

What this job can offer you

• Complex and meaningful challenges — solving them will enable people and businesses to live and operate in any country of the world.
• Opportunity to have a significant impact on the business — we are still very early in our journey as a company, and each change you make today is amplified by the company's growth.
• A lot of freedom to organize your work and life — you are not bound to daily standups, recurring meetings or other ceremonies.
• Competitive salary, stock options, flexible paid time off, and a set of perks and benefits.
• A supportive and kind work environment where we would like you to challenge the dogmas and pursue innovation!
• Strong team of experienced engineers who will support and facilitate your professional growth.

What you bring

Must have (professional experience):

• Strong engineering fundamentals and a track record of shipping production systems that are secure, reliable, and scalable.
• Practical experience designing or adopting agentic/automation workflows (or comparable systems) and improving them through iteration.
• Ability to think in systems: define specs clearly, break down plans, instrument verification, and close the loop on quality.
• Postgres (or similar).
• CI/CD (GitLab, Github, Jenkins or similar).

Nice to have

• Kubernetes
• Docker
• AWS
• Nextjs
• React/Vue/Angular

Key Responsibilities

• Lead the development of major team-scoped projects, participate in cross-team initiatives for Remote's HR and Payroll products.
• Actively participate in product work in the team: provide feedback, suggest solutions to the problems. Use technical insights and expertise to suggest product improvements.
• Maintain good understanding of the team’s domain, both from product and engineering sides.
• Provide feedback on code reviews.
• Contribute to the shared codebase.
• Debug and solve technical and business issues.
• Participate in non-team activities, such as support rotations, hiring process, RFC discussions, etc.
• Mentor and provide guidance to other engineers.
• Investigate, propose and participate in implementation of improvements to our platform.
• Implement interfaces with performance, accessibility, and API design in mind.
• Redesign how engineering work ships with autonomous agents as the default execution layer
• Propose and operationalize agentic workflows end-to-end (spec → plan → execute → verify) to deliver outcomes faster.
• Build reusable agentic workflows and primitives in the codebase so teams can apply them repeatedly across domains.
• Use verification loops (tests, checks, evals, guardrails) to ensure results are correct, secure, reliable, and scalable.

Practicals

• Reporting line: Engineering Team Leader
• Team: Engineering
• Location: Anywhere in the World
• Start date: As soon as possible

Application process

1. Interview with our recruiter
2. Interview with an Engineering Leader
3. (async) Code exercise and review
4. Interview with members of the engineering team
5. Bar Raiser Interview
6. Executive Interview with VP of Engineering
7. Offer and Prior employment verification check