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<div>
 <p>
  <strong>
   Senior DevOps Engineer | Berlin | FinTech | German (B2+)
  </strong>
 </p>
 <p>
  &euro;85,000 - &euro;100,000 per annum
 </p>
 <p>
  <br/>
 </p>
 <p>
  We're partnering with an innovative FinTech company in Berlin to hire a DevOps Engineer who is passionate about building scalable, secure, and reliable cloud infrastructure.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What you'll do:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Build and maintain CI/CD pipelines
  </li>
  <li>
   Automate infrastructure using Infrastructure as Code
  </li>
  <li>
   Manage and optimise cloud environments (AWS/Azure/GCP)
  </li>
  <li>
   Collaborate with development teams to improve deployment and reliability
  </li>
  <li>
   Monitor systems and drive performance and security improvements
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What we're looking for:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Experience in DevOps, SRE, or Cloud Engineering
  </li>
  <li>
   Hands-on knowledge of Docker, Kubernetes, Terraform, and CI/CD tools
  </li>
  <li>
   Experience with cloud platforms (AWS, Azure, or GCP)
  </li>
  <li>
   German language skills at B2 level or above and good English
  </li>
  <li>
   EU work authorisation is preferred
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What's on offer:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Competitive salary and benefits
  </li>
  <li>
   Hybrid working in Berlin
  </li>
  <li>
   Opportunity to work on cutting-edge FinTech products
  </li>
  <li>
   Collaborative, international team with excellent career growth
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Interested? Send me a message on LinkedIn or apply directly to learn more about this opportunity.
 </p>
</div>


Senior DevOps Engineer

Vanilla Steel GmbH

<div><h4 class="jobSectionHeader"><b>Your mission</b></h4><p>
We are a Berlin-based startup transforming how industrial materials are bought and sold across Europe. One of the oldest industries in the world still runs on Excel, PDF and email. We are replacing that with AI that runs the buying and selling workflow end to end, increasing liquidity, speeding up transactions and reducing waste for hundreds of steel and metal distributors.<br>
<br>
We have strong early traction, real enterprise customers and committed investors. We are a lean, technical team scaling our enterprise pilots and building the AI infrastructure underneath them.<br>
<br>
Your job as <b>Senior Product Engineer</b> is to make sure we deliver on that traction and stay ahead. You partner closely with Co-founder Simon, who owns sales; you own that we ship, that enterprise customers succeed, and that the product stays in front. This is a senior, hands-on role with three pillars.<br>
<br>
<b>1. Build and ship with AI</b></p><br>
<ul><li>
Ship production software using AI as a force multiplier &mdash; prototypes, integrations, customer-facing flows &mdash; and get them live, not just specified.</li><li>
Move our AI from assisting people to running the buying and selling workflow as autonomous agents.</li><li>
Integrate our pipeline deep into customer systems and ERPs (SAP, Odoo, Microsoft Dynamics), and design for fast onboarding so a new customer reaches value in days, not months.</li><li>
Our stack: Python, FastAPI, Pydantic AI, Pydantic Logfire, JavaScript/Node, React, GCP, Kubernetes. You won't be expected to master all of it on day one, but you should be comfortable navigating it with AI tooling.</li></ul><b>
2. Lead technical communication with enterprise customers</b><br>
<ul><li>
Own the technical relationship with three to five enterprise customers: run the discovery workshops, scope the work, run first-line UAT, and steer executive, procurement and IT conversations.</li><li>
Translate customer reality into clear build decisions and engineering reality into clear customer expectations. Hold the line on scope when a request will not move the metric that matters.</li><li>
Represent the product credibly to senior stakeholders, and to investors when a customer also sits on our cap table.</li></ul><b>
3. Help build the product org</b><br>
<ul><li>
Drive the shipping cadence: a weekly or biweekly release rhythm with engineering, and sequence delivery against engineering capacity with our Head of Tech.</li><li>
Make the strategic product calls &mdash; what we build next, and what we deliberately do not.</li><li>
As we scale enterprise customers, help grow how the team works and the product function around you.</li></ul><p></p><h4 class="jobSectionHeader"><b>
Your profile</b></h4><p>
You are a builder who ships with AI and can run an enterprise customer relationship and help shape how we build. Two non-negotiables: technical capability and product sense. Everything else sits behind those.</p><br>
<ul><li>
Excellent written and verbal communication in English and in <b>German (C1 or C2 must have, native not required)</b>. You can run a technical workshop with a German industrial customer end to end.</li><li><b>
Berlin-based or willing to relocate</b>. The role also includes regular travel to customer sites in Central Germany (~2&ndash;3 days per month).</li><li>
5+ years building product, with at least 2 years in genuinely technical roles (engineering, technical PM at a real engineering company, solutions architect, forward-deployed engineer).</li><li>
Deep LLM/AI experience: you build and ship real software with LLMs and agents in production, not just prototype or chat with them. You can walk us through something you shipped and how you built it. Bonus if you have shipped an agentic or autonomous system.</li><li>
AI coding tools: you use Cursor, Claude Code or comparable as your primary development environment - not occasionally, but as the way you build. This is how you ship independently without engineering support.</li><li>
Strong technical instincts: you read code, evaluate an architecture, and hold your own in a design review with engineering.</li><li>
First-line UAT discipline: you have personally signed off (or rejected) enterprise releases and can describe the framework you used.</li><li>
Comfortable owning several enterprise customers in parallel without dropping balls, and pushing back on scope when needed.</li><li>
Able to simplify complexity and make fast, sound decisions under pressure.</li></ul><b>
Nice-to-have: </b>background in an AI-first company; ERP integrations (SAP, Odoo, Microsoft Dynamics) or procurement / order-management workflows; early-stage or founding-engineer experience, industrial B2B, metals, supply chain or manufacturing experience.<p></p><h4 class="jobSectionHeader"><b>
Why us?</b></h4><p></p><ul><li>
Ownership of named enterprise accounts, judged on outcomes rather than hours.</li><li>
Direct technical impact: you see what you ship in production within weeks.</li><li>
Senior co-founders who are technical operators, not pitch-deck founders. Decisions happen fast.</li><li>
Competitive base, performance bonus, and meaningful equity at a Series A company.</li><li>
Regular travel to customer sites (mainly Central Germany).</li><li>
Subsidised Urban Sports Club membership and Deutschlandticket.</li><li>
Hybrid work format, office in the heart of Prenzlauer Berg, Berlin.</li><li>
Regular team events, company breakfasts and Friday drinks.</li></ul><p></p><h4 class="jobSectionHeader"><b>
About us</b></h4><p></p><p>
We are a Berlin-based startup that has successfully established a leading digital-first trading company for industrial metals across Europe.</p><p>
The multi-billion-euro metal trading industry is operated on Excel, PDF and Email. Our mission is to integrate smart technology and data to drive every decision, transaction, and workflow in the steel industry. Our technologies &amp; services increase liquidity, accelerate transactions, reduce scrapping rates and enhance trading convenience for hundreds of steel and metal distributors across Europe.</p></div><p></p>

Senior Product Engineer

GLS/NXT

<div>
 <p>
  Join
  <strong>
   GLS/NXT
  </strong>
  as a
  <strong>
   Senior Backend Engineer
  </strong>
  and help shape the future of out-of-home delivery. We&rsquo;re building the
  <strong>
   OOH Platform
  </strong>
  - a scalable system that empowers carriers across multiple countries to deploy, manage, and optimize parcel locker networks with ease.
 </p>
 <br/>
 <p>
  At GLS/NXT, you&rsquo;ll work at the intersection of
  <strong>
   startup energy and enterprise muscle -
  </strong>
  moving fast, experimenting freely, and owning your work end-to-end. We care deeply about solving real user problems and building reliable, high-quality backend systems that make logistics smarter and more connected.
 </p>
 <br/>
 <p>
  If you&rsquo;re driven by impact, thrive in a collaborative and fast-moving environment, and love turning complex challenges into elegant and simple technical solutions, we&rsquo;d love to have you on board. Let&rsquo;s build the future of logistics - together.
 </p>
 <br/>
 Tasks
 <br/>
 <ul>
  <br/>
  <li>
   Design, build, and maintain server-side applications with a focus on performance, scalability, and reliability.
  </li>
  <br/>
  <li>
   Collaborate with cross-functional teams to define, design, and ship new features and improvements.
  </li>
  <br/>
  <li>
   Drive best practices in code quality, security, and testing across the development lifecycle.
  </li>
  <br/>
  <li>
   Troubleshoot, debug, and upgrade existing software systems proactively and effectively.
  </li>
  <br/>
  <li>
   Stay current with emerging technologies and industry trends to continuously drive innovation within the team.
  </li>
  <br/>
 </ul>
 <br/>
 Requirements
 <br/>
 <ul>
  <br/>
  <li>
   <strong>
    5+ years of proven experience
   </strong>
   as a Backend Engineer or in a similar role within a cross-functional team environment.
  </li>
  <br/>
  <li>
   <strong>
    Proficiency in Kotlin
   </strong>
   for backend development.
  </li>
  <br/>
  <li>
   <strong>
    Strong hands-on experience with Spring Boot
   </strong>
   , building robust and scalable services.
  </li>
  <br/>
  <li>
   <strong>
    Solid experience with SQL and relational databases
   </strong>
   , including schema design and performance optimization.
  </li>
  <br/>
  <li>
   <strong>
    Experience with event-driven architectures
   </strong>
   (e.g., Kafka, SNS/SQS).
  </li>
  <br/>
  <li>
   <strong>
    Proficiency in REST API design principles
   </strong>
   , microservices architecture, and cloud-based services (preferably AWS).
  </li>
  <br/>
  <li>
   <strong>
    Experience deploying applications
   </strong>
   using containerization and orchestration tools (e.g., Docker, Kubernetes).
  </li>
  <br/>
  <li>
   <strong>
    Comfortable working in an Agile environment
   </strong>
   , embracing incremental delivery and continuous feedback.
  </li>
  <br/>
  <li>
   <strong>
    Strong problem-solving and analytical skills
   </strong>
   , with a keen eye for debugging and performance tuning.
  </li>
  <br/>
  <li>
   <strong>
    Excellent written and verbal communication skills in English
   </strong>
   , with the ability to explain complex technical concepts clearly to diverse audiences.
  </li>
  <br/>
 </ul>
 <br/>
 Benefits
 <br/>
 <ul>
  <br/>
  <li>
   <strong>
    Dynamic workplace:
   </strong>
   A digital environment with international projects and space to learn and grow
  </li>
  <br/>
  <li>
   <strong>
    Flexible work conditions:
   </strong>
   Hybrid working mode with a tailored remote policy
  </li>
  <br/>
  <li>
   <strong>
    Focus on learning:
   </strong>
   A personal budget (1.000&euro;) for learning and development initiatives
  </li>
  <br/>
  <li>
   <strong>
    Physical space for ideas:
   </strong>
   A great office space in Berlin Mitte with top-tier equipment
  </li>
  <br/>
  <li>
   <strong>
    Transparent and competitive compensation:
   </strong>
   A salary package that reflects your expertise and experience.
  </li>
  <br/>
  <li>
   <strong>
    Active participation:
   </strong>
   A clear bonus system enabling participation in your and the team&rsquo;s performance
  </li>
  <br/>
  <li>
   <strong>
    Engaging team culture:
   </strong>
   Monthly team cooking, regular events and offsites
  </li>
  <br/>
  <li>
   <strong>
    Vacation policy:
   </strong>
   30 days of yearly holiday
  </li>
  <br/>
  <li>
   <strong>
    Reward system:
   </strong>
   Rewards for the recommendation of additional team members
  </li>
  <br/>
 </ul>
 <br/>
 <p>
  <strong>
   About GLS/NXT
  </strong>
 </p>
 <br/>
 <p>
  GLS/NXT was founded with the mission to build the next generation of logistic experiences driven by technology - core, adjacent &amp; beyond. More specifically, our sphere of interest is the Logistics and eCommerce sector. We are entrepreneurs and hence always start with the user's needs. We are located between Corporate and Startups and leverage the benefits from both (startup speed and corporate muscle). GLS/NXT inhabits different project teams, acting as startups with business responsibility and setting their own vision and mission. GLS/NXT is part of the GLS IT Services GmbH.
 </p>
 <br/>
 <p>
  <strong>
   Commitment to Diversity
  </strong>
 </p>
 <br/>
 <p>
  GLS/NXT is an equal opportunity employer, which means we do not discriminate on the basis of race, colour, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression. We celebrate diversity and are committed to creating an inclusive environment for all employees.
 </p>
</div>


Senior Backend Engineer

Coralogix

<div><div>Berlin, Germany &middot; Full-time &middot; Senior
</div><div><h4 class="jobSectionHeader"><b>About The Position</b></h4>
<div><p>Coralogix is a modern, full-stack observability platform transforming how businesses process and understand their data. Our unique architecture powers in-stream analytics without reliance on expensive indexing or hot storage. We specialize in comprehensive monitoring of logs, metrics, traces, and security events with features such as APM, RUM, SIEM, Kubernetes monitoring, and more&mdash;helping customers reduce observability costs by up to 70%.</p><p>
We are seeking a <b>Senior Observability Engineer</b> to join our <b>Platform Group</b>. In this role, you will design and deliver platform-level observability features that enable engineers across Coralogix to build, operate, and scale with confidence. You will work hands-on with Kubernetes-based systems, modern observability technologies, and upstream communities to drive best practices and shape the company-wide observability strategy.</p><p><b>
In This Role, You Will</b></p><ul><li>
Design, implement, and maintain observability features such as <b>Alerting, SLOs, Reporting, and Synthetic Tests</b></li><li>
Manage and scale <b>OpenTelemetry Collectors</b> and other observability agents across Kubernetes environments</li><li>
Write and maintain <b>Kubernetes Controllers</b> using frameworks like <b>controller-runtime</b> and <b>KubeBuilder</b></li><li>
Operate and optimize the <b>internal Coralogix account</b>, ensuring proper usage, cost efficiency, and best practices adoption</li><li>
Define and enforce <b>observability guidelines and standards</b> across the organization</li><li>
Partner with engineering teams to embed observability by default into products and services</li><li>
Control observability-related costs while maximizing performance, visibility, and value</li><li>
Contribute to <b>upstream projects</b> such as <b>OpenTelemetry</b>, helping shape industry standards</li><li>
Explore and implement cutting-edge observability technologies, including <b>eBPF-based approaches</b></li></ul><br>
<p></p>
</div><h4 class="jobSectionHeader"><b>Requirements</b></h4><br>
<p></p><div><br>
<ul><li><b>5+ years of experience</b> in Site Reliability, DevOps, or Platform Engineering with a focus on observability</li><li>
Proven expertise with at least one major observability platform (e.g., <b>Prometheus, Victoria Metrics, OpenSearch</b>)</li><li>
Hands-on experience with <b>Kubernetes</b>, including deep knowledge of controllers, operators, and Helm</li><li>
Experience writing Kubernetes controllers (controller-runtime, KubeBuilder)</li><li>
Strong programming skills in <b>Go</b> or <b>Python</b> (Rust is a plus)</li><li>
Experience designing, scaling, and operating observability systems at <b>enterprise scale</b></li><li>
Familiarity with at least one major cloud provider (<b>AWS, Azure, or GCP</b>)</li><li>
Strong understanding of distributed systems, telemetry pipelines, and instrumentation standards (e.g., OpenTelemetry)</li><li>
Excellent communication skills with the ability to explain complex topics to diverse stakeholders</li></ul><p><b>
Nice to Have</b></p><ul><li>
Contributions or maintainership in <b>open-source observability projects</b></li><li>
Knowledge of <b>eBPF</b> and its application in observability</li><li>
Experience speaking at <b>technical conferences</b> or publishing engineering content</li><li>
Deep engagement with the <b>observability community</b></li></ul><p></p><p><b><br>
Cultural Fit</b></p><p>
We&rsquo;re seeking candidates who are <b>hungry, humble, and smart</b>. Coralogix fosters a culture of innovation and continuous learning, where team members are encouraged to challenge the status quo and contribute to our shared mission. If you thrive in dynamic environments and are eager to shape the future of observability solutions, we&rsquo;d love to hear from you.</p><p>
Coralogix is an equal opportunity employer and encourages applicants from all backgrounds to apply.</p></div></div></div>

Senior Observability Engineer

Future Energy Services GmbH

<div><h1 class="jobSectionHeader"><b>Senior Data Engineer</b></h1><div></div><div><br>
</div><h2 class="jobSectionHeader"><b>
About trawa</b></h2><div></div><p><br>
European energy costs are twice as high as in the United States and China. Electricity demand is expected to double by 2050. Market price volatility and complexity are here to stay - and the backbone of Europe's industrial economy is at risk.</p><div></div><p><br>
At trawa, we're building the solution: an integrated B2B energy platform combining procurement, energy management, and flexibility steering in a single product. That integration unlocks up to 30% in recurring electricity cost savings while helping companies make the switch to renewables.</p><div></div><p><br>
We're a Berlin-based scale-up of around 100 people. We've raised over &euro;35M to date - including a &euro;24M Series A in May 2025 - backed by Balderton, Headline, Speedinvest, AENU, Magnetic, and Tiny VC. All three founders are fully committed to building the utility of the future.</p><div></div><div><br>
</div><h2 class="jobSectionHeader"><b>
The Team</b></h2><div></div><p><b><br>
Data Intelligence (DINTEL)</b> is an engineering team that owns trawa's data pipelines, and analytics infrastructure. We manage the full data lifecycle - from ingesting raw metering and market data, to invoicing and self-service analytics.</p><div></div><div><br>
</div><h2 class="jobSectionHeader"><b>
About the Role</b></h2><div></div><p><br>
We're looking for a <b>Senior Data Engineer</b> to own and lead the development, reliability, and continuous evolution of our data platform. This is a high-ownership, high-autonomy role. You'll work across production systems at scale - defining technical direction, coordinating cross-team dependencies, and driving measurable impact across data engineering, analytics infrastructure, and operational tooling.</p><p>
You'll mentor teammates and be supported by experienced engineering leaders as you continue to grow your own leadership and technical skills.<br>
<br>
This role follows a hybrid working model. We expect team members to spend around 2-3 days per week in our Berlin office. There are no fixed office days and we don't monitor attendance strictly, but regular in-person collaboration is an important part of how we work.</p><div></div><div><br>
</div><h2 class="jobSectionHeader"><b>
What You'll Do</b></h2><div></div><ul><li><p><br>
Lead the design, implementation, and operation of critical data pipelines and platform infrastructure on AWS</p></li><li><p>
Define and evolve data quality standards, observability practices, and operational controls across the platform</p></li><li><p>
Lead cross-team technical discussions and help align stakeholders on data platform architecture decisions</p></li><li><p>
Deliver large-scale technical initiatives end-to-end, from design through delivery, collaborating with teams across the business</p></li><li><p>
Shape the team's technical culture through code reviews, mentorship, knowledge sharing, and documentation</p></li><li><p>
Evolve our analytics and BI tooling (ClickHouse, Metabase) to support business intelligence and decision-making</p></li><li><p>
Build and maintain data pipelines using Python (pandas, polars), dbt, and dlt</p></li><li><p>
Identify and address technical debt, improving platform reliability, scalability, and developer experience</p></li><li><p>
Communicate the value and impact of platform improvements to engineering and business stakeholders</p></li><li><p>
Diagnose and resolve complex data and performance challenges across multiple systems and services</p></li></ul><div></div><div><br>
</div><h2 class="jobSectionHeader"><b>
Your First 90 Days</b></h2><div>
</div><h3 class="jobSectionHeader"><b>
First 6 Weeks - Getting Oriented</b></h3><ul><li><p>
Build context across the data platform, including AWS, dbt, dlt, PostgreSQL, ClickHouse, and Python services</p></li><li><p>
Begin contributing to production systems and taking ownership of key platform components</p></li><li><p>
Build relationships with engineers and stakeholders across the business to understand data needs, priorities, and opportunities for improvement</p></li></ul><h3 class="jobSectionHeader"><b>
By Month 3 - Building Momentum</b></h3><ul><li><p>
Take ownership of significant platform components and drive improvements with growing independence</p></li><li><p>
Begin leading a cross-team initiative with support from your manager and teammates, helping align stakeholders around a clear plan</p></li><li><p>
Identify and begin implementing a meaningful improvement to platform reliability, observability, or scalability</p></li></ul><div></div><div><br>
</div><h2 class="jobSectionHeader"><b>
What You'll Gain</b></h2><div></div><ul><li><p><br>
Ownership of a production data platform that directly powers trawa's energy trading, invoicing, and analytics</p></li><li><p>
The opportunity to work closely with engineering and business stakeholders on high-impact initiatives with company-wide visibility</p></li><li><p>
A chance to shape technical culture and contribute to the evolution of engineering practices across the Data Intelligence team</p></li><li><p>
Deep expertise across a modern data stack, including AWS, Python (pandas, polars, FastAPI), dbt, dlt, PostgreSQL, ClickHouse, and Metabase</p></li><li><p>
Support in growing your technical and leadership skills, with a clear progression framework and meaningful opportunities for advancement</p></li></ul><div></div><div><br>
</div><h2 class="jobSectionHeader"><b>
What We're Looking For</b></h2><p><br>
We know that great candidates don't always match every requirement. If you're excited about the role and believe you can contribute to our mission, we'd love to hear from you, even if your experience doesn't perfectly align with every qualification listed.</p><h2 class="jobSectionHeader"><b><br>
Core Requirements</b></h2><ul><li><p>
5+ years of experience in data engineering or a related field</p></li><li><p>
Strong SQL and Python skills</p></li><li><p>
Experience building and operating production data systems</p></li><li><p>
Experience collaborating across teams to deliver technical projects</p></li></ul><div><br>
</div><h2 class="jobSectionHeader"><b>
Nice to have</b></h2><div></div><ul><li><p><br>
Hands-on experience with parts of our stack, including dbt, dlt, ClickHouse, PostgreSQL, Metabase, or AWS</p></li><li><p>
Experience with workflow orchestration tools such as Airflow</p></li><li><p>
Familiarity with energy markets, time-series data, or operational data platforms</p></li><li><p>
Experience in a technical leadership role</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
What Helps You Succeed Here</b></h2><ul><li><p>
Experience designing scalable and reliable data systems</p></li><li><p>
Enjoy mentoring and supporting the growth of teammates</p></li><li><p>
Comfort navigating ambiguity and helping bring clarity to complex problems</p></li><li><p>
Strong communication and stakeholder-management skills</p></li></ul><div></div><div><br>
</div><h2 class="jobSectionHeader"><b>
Why Join Us</b></h2><div></div><p><br>
<b>Real impact</b> - Join one of Europe's fastest-growing B2B energy platforms at a pivotal moment. Your work will directly support systems that help industrial companies cut costs and go green.</p><div></div><p><br>
<b>Early ownership</b> - We give team members responsibility from day one. You won't be shadowing - you'll be shipping.</p><div></div><p><br>
<b>Mentorship that matters</b> - Regular leadership sessions, cross-functional exposure, and engineers who are genuinely invested in your growth.</p><div></div><p><br>
<b>Learning culture</b> - Annual learning budget, dedicated development time, and a team that takes knowledge-sharing seriously.</p><div></div><p><br>
<b>Inclusive by design</b> - 15+ nationalities, family-friendly policies, and a genuine commitment to building a place where everyone can do their best work.</p><div></div><p><br>
<b>Solid benefits</b> - A competitive package covering wellbeing, learning, and team experiences.</p></div>

Senior Data Engineer

wolt

<div><div><h2 class="jobSectionHeader"><b>About Wolt</b></h2>
<p>
At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we're building the delivery of (almost) everything and you'll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.<br>
<br>
Working at Wolt isn't always easy, but it's definitely exciting. Here you'll learn more, build more, and ship more than in most other companies. You'll be challenged a lot, but also have a lot of fun on the way. So, if you're a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.</p></div><br>
<p></p>
<p>
At Wolt, we're building products that millions of people rely on every day. Behind every great customer experience is a solid engineering foundation, and that's where you come in.</p>
<p>
We're looking for experienced Android engineers who enjoy solving problems beyond feature development. If you're excited about building scalable mobile foundations, improving developer experience, raising engineering quality, and helping other engineers build better software, we'd love to talk.</p>
<p>
We're also embracing a new way of building software. AI is becoming a core part of how we engineer products, and we're looking for people who are curious about how AI can improve software development, not just generate code.</p>
<h2 class="jobSectionHeader"><b>
What you'll be doing</b></h2>
<p>
As a Senior Android Engineer, you'll work on the foundations that enable product teams to deliver high-quality mobile experiences at scale.</p>
<p>
Depending on your background and interests, your work may include:</p>
<ul>
<li>Building and evolving Android architecture, shared libraries and platform capabilities</li>
<li>Improving developer experience through tooling, automation and better engineering workflows</li>
<li>Driving improvements in app performance, reliability and observability</li>
<li>Designing scalable systems that help teams move faster without compromising quality</li>
<li>Working closely with engineers across multiple product teams to solve shared technical challenges</li>
<li>Leading technical initiatives and helping raise the engineering bar across the organization</li>
<li>Exploring how AI can improve engineering workflows and developer productivity</li>
<li>Building reliable guardrails and tooling around AI-assisted software development</li>
</ul>
<p>This role is ideal for someone who enjoys making other engineers more productive, thinking about long-term technical health, and solving engineering problems that have impact across multiple teams.</p>
<h2 class="jobSectionHeader"><b>
Our humble expectations</b></h2>
<p>
We're looking for engineers who have experience with most of the following:</p>
<ul>
<li>Strong experience building Android applications with Kotlin</li>
<li>Experience designing scalable mobile architectures and shared platform components</li>
<li>Good understanding of the Android ecosystem and modern development practices</li>
<li>Experience with CI/CD, automation or developer tooling</li>
<li>Strong software design and system thinking</li>
<li>Experience collaborating across engineering teams and influencing technical decisions</li>
<li>Comfortable mentoring other engineers and driving technical initiatives</li>
<li>Excellent communication and stakeholder management skills</li>
</ul>
<p>We'd especially love to meet engineers who:</p>
<ul>
<li>Use AI regularly as part of their engineering workflow</li>
<li>Have experimented with modern AI development tools such as Claude Code, Cursor, Gemini, Codex, Copilot or similar</li>
<li>Are curious about agentic development workflows and AI-assisted software engineering</li>
<li>Know when to trust AI, when to challenge it, and how to build reliable engineering workflows around it</li>
</ul>
<p>You'll stand out if you've also worked with areas such as Kotlin Multiplatform (KMP), server-driven UI, experimentation frameworks, mobile observability, or large-scale consumer mobile platforms.</p>
<p>
This role can be based in one of our tech hubs in Helsinki or Stockholm.</p>
<p></p><div><h2 class="jobSectionHeader"><b>
Our Commitment to Diversity and Inclusion</b></h2>
<p>
We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.</p></div></div>

Senior Android Engineer

Control Risks

<div><p>As Senior AI Engineer you will own the AI and data layer of the platform. You will design and implement the knowledge graph architecture, build agentic pipelines that enrich entity data through AI web research, and develop the graph interrogation layer that translates natural language compliance questions into structured graph queries.</p><p>
You will work closely with the CTO and a small AI team including a data engineer and a junior AI engineer. You will have significant technical autonomy and direct influence over how the product evolves.</p><p></p><p><b>
Please submit yoru CV in English.</b></p><b><br>
Requirements</b><br>
<br>
What You&rsquo;ll Work On<p><b>
Knowledge graph architecture and implementation</b></p><ul><li>Own and evolve the platform&rsquo;s knowledge graph data model &mdash; entities (Company, Person, Community, Episodic), relationships, and temporal attributes</li><li>Implement and extend custom entity and relationship extraction pipelines using LMs, with structured output validation and confidence scoring</li><li>Use Graphiti (Zep AI&rsquo;s temporal knowledge graph framework) as the memory layer, managing episode ingestion, entity resolution, and graph updates</li><li>Design and enforce graph schema standards, ensuring consistency across data sources and ingestion pipelines</li><li>Build evaluation frameworks to measure extraction quality, entity disambiguation accuracy, and graph coverage</li></ul><p></p><p><b>
Agentic AI pipelines</b></p><ul><li>Design and implement multi-step agentic workflows that orchestrate LLM calls, web search, database lookups, and graph writes</li><li>Integrate AI web search (Tavily, Perplexity, or similar) as a tool within agentic pipelines for real-time entity enrichment</li><li>Build retrieval-augmented generation (RAG) pipelines over the knowledge graph, translating compliance queries into Cypher and natural language answers</li><li>Implement the graph interrogation layer &mdash; a conversational interface for compliance analysts to query the knowledge graph without writing Cypher</li><li>Manage LLM API integrations (Anthropic Claude, Gemini) including prompt engineering, structured outputs, and cost/latency optimisation</li></ul><p></p><p><b>
Data pipelines and integrations</b></p><ul><li>Build and maintain Python-based data ingestion pipelines reading from Databricks, connecting to external APIs (sanctions lists, corporate registries, Polixis, Vantage), and writing to Neo4j</li><li>Implement NER (named entity recognition) and entity disambiguation logic for extracting structured facts from unstructured compliance documents</li><li>Develop topic modelling pipelines to classify extracted facts as knowledge graph relationship attributes</li><li>Integrate with the .NET backend via well-defined HTTP contracts, ensuring the AI layer is independently deployable and testable</li></ul><p></p><p><b>
Research and technical leadership</b></p><ul><li>Stay current with the fast-moving agentic AI and knowledge graph literature &mdash; evaluate new frameworks, models, and techniques for production applicability</li><li>Contribute to architectural decisions with evidence: benchmarks, prototypes, and documented trade-offs</li><li>Maintain Claude Code context files (CLAUDE.md, SKILLS.md) for the AI codebase, enabling AI-augmented development across the team</li><li>Write clear technical documentation in Notion covering design decisions, data models, and operational runbooks.</li></ul><p></p>
What We&rsquo;re Looking For<p><b>
Must-have</b></p><ul><li>3+ years of professional experience in AI/ML engineering, with at least 1 year working on knowledge graphs or graph-based data systems in production</li><li>Hands-on experience with Neo4j &mdash; data modelling, Cypher query writing, schema design, and performance tuning</li><li>Deep familiarity with LLM APIs (OpenAI, Anthropic, or Gemini) &mdash; prompt engineering, structured outputs, function/tool calling, and cost management</li><li>Understanding the trade-offs between LLMs and smaller fine-tuned models (Hugging Face Transformers, sentence-transformers) &mdash; knowing when a purpose-built model outperforms a prompted general one on cost, latency, and accuracy</li><li>Experience building agentic pipelines &mdash; multi-step LLM workflows with tool use, memory, and state management</li><li>Python proficiency &mdash; you write clean, testable Python and understand async patterns for I/O-bound AI workloads</li><li>Experience with RAG architectures &mdash; vector search, hybrid retrieval, and integrating retrieval into LLM-powered applications</li><li>Ability to read and apply AI research papers &mdash; you can take a paper on narrative extraction or entity disambiguation and turn it into a working prototype</li><li>Strong English communication skills &mdash; written and verbal</li></ul><p></p><p><b>
Strong advantage</b></p><ul><li>Direct experience or knowledge with Graphiti (Zep AI) or other temporal knowledge graph frameworks</li><li>Familiarity with entity resolution and disambiguation techniques at scale</li><li>Experience with NER pipelines, topic modelling, or information extraction from compliance or financial documents</li><li>Knowledge of the third-party risk, sanctions screening, or KYC/AML domain</li><li>Experience with Databricks, Delta Lake, or similar data lakehouse platforms</li><li>Exposure to GCP (Vertex AI, Cloud Run, Pub/Sub, Cloud Storage)</li><li>Experience designing evaluation frameworks for LLM-generated structured outputs</li><li>Prior work in a RegTech, FinTech, or compliance-adjacent environment</li></ul><p></p>
What Good Looks Like in This Role<p><b>
We are direct about what we expect. The person who thrives here will:</b></p><ul><li>Treat the knowledge graph data model as the product&rsquo;s most important artefact &mdash; they think carefully about schema decisions and document them</li><li>Read the literature. When evaluating a new approach to entity disambiguation or graph memory, they check what&rsquo;s been published, not just what&rsquo;s on GitHub</li><li>Write evaluation harnesses before scaling pipelines. They know that a pipeline that produces plausible-looking output is not the same as one that produces correct output</li><li>Communicate blockers and trade-offs early. Technical uncertainty is expected &mdash; silence is not</li></ul></div>

Senior AI Engineer

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