Remote Dev Jobs
24 jobs available
Empower Professionals · 🇺🇸 United StatesRemote1d ago
Role: Cloud Engineer Location: 100 percent remote but Jersey city or NYC preferred Contract: 3 month extendable W2 role Must have: Cloud, Azure, vulnerability management (they need to do actual remediation and troubleshooting) , terraform, and Virtual Machines Nice to have: Google Cloud Platform They want cloud engineers with infra learning, NOT devops with cloud. The reason why so many candidates have been ruled out is because of that reason. Most important pieces are the azure and vulnerabili…
Harnham - Data & Analytics Recruitment · 🇬🇧 Birmingham, United KingdomRemote2w ago
Senior Analytics Consultant (Google Cloud, BigQuery, dbt & Looker) 70,000- 90,000 + Quarterly Bonus + Commission Fully Remote (UK) | Quarterly Brighton Meetups I'm hiring a Senior Analytics Consultant for one of the UK's leading specialist modern data consultancies. This is an opportunity to join a highly respected consultancy focused exclusively on the modern data stack, helping organisations build scalable analytics platforms, semantic lay...
Customer.ioRemote2w ago
Headquarters: Americas Remote About Customer.io Over 9,000 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. Customer.io powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data. About the role Hi, my name is Nick Guardino, Senior Director of Marketing Ops at Customer.io , and I'm looking for a GTM AI Engineer to help take our AI agents from scrappy prototypes to production-grade systems our GTM teams can depend on. Over the last 3.5 months, our GTM AI team has built 11 agents now running in production, serving 120 active users and roughly 25,000 tool calls a day — all through custom CLIs that work, but weren't built to scale. We believe businesses can run leaner and go further when they deploy AI agents well, and we're figuring out that motion in real time. This role owns the scale and reliability layer so the rest of the team can keep building. What we value Craft over quick wins — energized by making things robust, not just making them work. A point of view — we want someone who asks "why did you build it that way?" and has a specific answer for what to do instead. Comfortable being wrong — you try things fast, and you course-correct just as fast. AI-native by default — you'd rather direct Claude to write and QA code than write it by hand. What you'll do Alpha-to-production ownership — take newly built agents from working v1 to production-ready: write evals, harden prompts and tool definitions, and refactor prototype scaffolding into clean, production-quality code. Observability & stability — instrument tracing, logging, and monitoring across the agent fleet so we catch regressions before our 120+ GTM users do. Deployment & infrastructure — stand up and maintain the pipelines that get agents into users' hands without surprises, owning environment parity and release hy
Apetan Consulting · 🇺🇸 United StatesRemote4w ago
Job Title Cloud DevOps Engineer Location-Remote Job Summary We are looking for a Cloud DevOps Engineer to design, implement, and maintain cloud infrastructure, deployment pipelines, and automation processes. The role will help improve application deployment, reliability, scalability, security, and operational efficiency. Key Responsibilities Design, deploy, and manage cloud infrastructure on AWS, Azure, or Google Cloud Platform . Develop and maintain CI/CD pipelines for application deployment. …
IO GlobalRemote2mo ago
Headquarters: India URL: http://iohk.io Description DevOps Engineer | Midnight Foundation Location: This is a full-time remote role for candidates based in Asia, with 1–2 hours of daily overlap required with US or EU time zones. Schedule: Flexible (Sunday–Thursday or Tuesday–Saturday) Work Schedule The Role You are ready to apply best practices for monitoring, observability, security, and infrastructure automation to expand the multi-cloud and bare metal platforms powering our Cardano and Midnight deployments. The ideal candidate is passionate about blockchain, privacy, and disrupting the status quo. Requirements Key Responsibilities Protocol Reliability: Ensure availability of our services, specifically targeting 99.99% system uptime for critical blockchain infrastructure. Response to incidents and identify potential issues in a timely manner. Blockchain Ops: Develop and maintain open source tools to manage a Cardano and Midnight infrastructure in a multi-cloud or bare metal hybrid environment (AWS, Google Cloud, and bare metal). Pre-Launch Defense: Actively troubleshoot issues during testing and deployment, catching and solving protocol-level bottlenecks before mainnet upgrades. CI/CD Mastery: Build and maintain pipelines for Midnight projects using GitHub Actions and other tools to ensure a secure software development life cycle. On-Call & Incident Response: Participate in the on-call rota, providing rapid mitigation for production system interruptions. Scaling: Plan, coordinate, and manage the progressive transition from a foundation-coordinated federated validator model to a fully decentralized validator network. Requirements Experience: 5+ years in a DevOps/SRE role, with direct experience in blockchain infrastructure. Linux Mastery: Strong experience with Linux-based systems and administration. Orchestration: Working knowledge of container environments and Kubernetes orchestration. Observability Stack: Proficient with Grafana, Prometheus, or similar tools for
Mercury Insurance ServicesRemote2mo ago
Headquarters: Remote, United States URL: http://mercuryinsurance.com Overview Join an amazing team that is consistently recognized for our achievements and culture, including our most recent Forbes award of being one of America's Best Midsize Employers for 2026! Position Summary: As a Senior Software Engineer, you will play a crucial role in designing, developing, and maintaining complex software systems. This position involves leading agile teams or projects, mentoring junior engineers, and ensuring the delivery of high-quality software solutions. Geo-Salary Information An in-person interview may be required during the hiring process State specific pay scales for this role are as follows: $94,458 to $179,048 (CA, NJ, NY, WA, HI, AK, MD, CT, RI, MA) $85,871 to $162,771 (NV, OR, AZ, CO, WY, TX, ND, MN, MO, IL, WI, FL, GA, MI, OH, VA, PA, DE, VT, NH, ME) $77,283 to $146,464 (UT, ID, MT, NM, SD, NE, KS, OK, IA, AR, LA, MS, AL, TN, KY, IN, SC, NC, WV) In CA: Typical hiring range is $123,077.70 to $170,941.25 The expected base salary for this position will vary depending on a number of factors, including relevant experience, skills and location. Responsibilities Essential Job Functions: Write high-quality code for complex scenarios with good test coverage. Review and translate product requirements into robust designs to ensure high-quality distributed application systems that are modular, configurable, reusable, fast, effective, user-friendly, secure, compliant, scalable, and maintainable. Lead design and code reviews of multiple applications to ensure best practices, adherence to Mercury standards, and high quality. Lead the sprint team to deliver new or improved features, addressing any impediments to delivering high-quality solutions in the sprint backlog. Collaborate with other teams and stakeholders to ensure successful delivery of intended functionality. Mentor and provide technical guidance to other engineers on the team, fostering a culture of innovation and exce
Insight Global · 🇺🇸 United StatesRemote3mo ago
Job Description Octave is seeking a Data Engineer to support a large-scale cloud migration from AWS to Google Cloud Platform (GCP). This individual will play a critical role in modernizing the company's data infrastructure, ensuring seamless data movement, and building scalable pipelines in the new environment. This is a high-impact engagement through the end of the year, with strong opportunity to transition into ongoing data engineering and integration work post-migration. Key Responsibilitie…
ReveleerRemote5mo ago
Headquarters: United States URL: https://www.reveleer.com/ Full Stack AI Engineer Remote Opportunity As the industry’s pioneering value-based care (VBC) technology platform, Reveleer is purpose-built to solve the most pressing real-world challenges faced by providers and health-plan organizations today. By unifying retrieval, clinical intelligence, risk adjustment, quality improvement, and member management solutions into one intelligent, AI-powered system, Reveleer streamlines fragmented workflows to supercharge productivity, enhance care quality, and optimize performance on high-priority value-based initiatives. About the Team: You will be joining a small team within Reveleer AI division, in charge of developing the next generation agentic model for clinical prospective suspecting. As a full stack software developer in our team, you will be working in the unique environment of a small team with large scale impact to enable the expansion of our product and fast growth of our users. Responsibilities: Obsess over the details and applying first principle mindset to address challenges. Understand business needs and build end-to-end product experiences. Solve product problems and build delightful user experiences for our users. Contribute to building and scaling infrastructure. Develop and continually improve observability of activity and infra at scale. Continually challenge status quo and existing solutions to improve scalability & efficiency Partner closely with other engineers and scientists to build highly scalable, ML driven system(s), help run experiments, and surface insights across all points of customer interactions Resolve problems and provide daily troubleshooting, analysis, and problem definition for production issues. Required Skills: 5+ years of experience building high quality code and infrastructure. 3+ years of experience working with large-scale systems. 2+ Experience with AWS and Google Cloud A passion for building delightful Customer-centric user ex
Eraneos · 🇩🇪 Hamburg, GermanyRemote57y ago
What you can expect from us We are a technical, implementation-oriented spin-off of a global management consultancy. Our clients are primarily DAX and Fortune Global 500 companies, which we advise on issues in the areas of analytics, big data and machine learning. Within the group, we take on the development of individual and data-driven solutions in order to transform our clients into AI-powered companies. We offer an international working environment with agile teams and creative startup methods as well as above-average remuneration and numerous additional benefits. With our offices in Hamburg, Munich and Düsseldorf and our hub locations in all other major German cities (Berlin, Frankfurt and Stuttgart), we ensure that all colleagues are integrated into our team of experts across Germany. Your role as a Senior GenAI Solution Engineer: End-to-End Development: You drive AI solutions across the full lifecycle - from rapid prototyping and proof-of-concept to deployment in scalable, highly available production environments. AI Services Engineering: You build robust backend services in Python that seamlessly integrate state-of-the-art LLMs and perform reliably under production load. Autonomous Agent Architecture: You design and implement intelligent agent systems that automate real-world workflows through tool calling and memory management, operating safely within defined guardrails. Agentic SDLC: You integrate AI agents into the development lifecycle - from AI-assisted coding and code reviews to automated testing and intelligent documentation - enhancing efficiency across the entire software development process through agentic tools. Ensuring Software Excellence: You take ownership of code quality by applying clean architecture principles, implementing automated testing, and establishing efficient CI/CD pipelines to ensure smooth and reliable deployments. Evaluation & Monitoring: You implement frameworks to measure the performance of GenAI solutions (e.g., accuracy, la
Munich Electrification · 🇩🇪 Munich, GermanyRemote57y ago
About Munich Electrification Munich Electrification is an innovative company founded with the aim of accelerating the transition to electric and connected mobility. We develop innovative electronic control units for electric vehicles and stationary storage systems for our global customers. Our international team is composed of highly motivated and exceptional engineers. As a small and specialized team we are well-aware of the importance of each individual colleague and support and promote each employee according to their abilities and needs. Our office with adjacent prototype and testing lab is located in the heart of Munich at the Heimeranplatz. This is what we stand for: - Technological Leadership : We challenge norms, innovate quickly, and anticipate future needs. We take smart risks and learn from outcomes to stay ahead. - Sustainability : We actively drive change for a sustainable future, aware of our impact and inspiring others to build a better world. - Team Culture : We believe work should be enjoyable, fostering a spirit of inspiration, celebration, and teamwork across the globe. - Entrepreneurial Spirit : We embrace change, think big, and push limits with passion. Your Role: Your primary mission is to own and evolve our Digital Ecosystem , ensuring our cloud-first infrastructure is as innovative and high-performing as our battery technology. You will ensure that our core platforms ( Google Workspace and the Atlassian ) function as a seamless, interconnected network that empowers our company. Acting as the vital bridge between business requirements and technical execution, you will master the configuration of existing solutions and be the technical lead for new application/service implementations. Key Responsibilities: SaaS & Cloud Governance : Act as the Platform Owner for Google Workspace and Atlassian , managing configurations, security, and permissions. Business Process Evolution : Work with department heads to translate business needs into scalable dig
IT42morrow IFT GmbH · BrandenburgRemote57y ago
IT42morrow steht für Innovation und Dynamik in der IT-Welt. Mit einer Palette von spannenden Projekten und einer Kultur, die Wachstum und Diversität fördert, sind wir auf der Suche nach einem neuen Star in unserem Entwickler-Team. Egal, ob Du ein erfahrener Profi oder ein begeisterter Neuling mit einer Leidenschaft für Technologie bist – wenn Du bereit bist, in die Welt der großen IT-Umgebungen einzutauchen, sollten wir uns unterhalten! Aufgaben Übernimm die Verantwortung für Design, Betrieb und Wartung großer, verteilter MongoDB-Cluster im geschäftskritischen Umfeld. Zeige deine Fähigkeiten bei der Architektur und Skalierung von Replica Sets und Sharded Clusters für maximale Hochverfügbarkeit und Ausfallsicherheit. Werde zum Problemlöser, wenn es um Cluster-Performance, Load-Balancing über Shards, Query-Optimierung und Indexstrategien geht. Du planst und führst Cluster-Erweiterungen, Rebalancing, Failover-Szenarien und rollierende Upgrades im laufenden Betrieb durch? Das ist dein Ding! Qualifikation Cluster-Profi: Du hast nachweisliche, mehrjährige Erfahrung im Aufbau und Betrieb ganzer MongoDB-Cluster in Produktivumgebungen – von der Konzeption von Replica Sets und Sharding-Strategien bis hin zum Betrieb von MongoDB Atlas oder Enterprise Advanced im großen Maßstab. Skalierung & Hochverfügbarkeit: Du verstehst die Mechanismen hinter Sharding, Replikation, Election-Prozessen und Read/Write-Concerns und weißt, wie man Cluster über mehrere Rechenzentren oder Regionen hinweg ausfallsicher auslegt. Datenmodellierung: Du weißt, wie man effiziente Schema-Designs, Aggregation Pipelines und Indexstrategien für performante Abfragen über verteilte Datenbestände gestaltet. Automatisierung: Mit Tools wie Ansible, Terraform oder Skriptsprachen (Python, Bash) automatisierst du Provisionierung, Konfiguration und den Betrieb ganzer Cluster. Container-Plattformen: Docker, Kubernetes oder OpenShift sind für dich unverzichtbare Werkzeuge, um Datenbank-Cluster konsistent und effizient
Eraneos · 🇩🇪 Hamburg, GermanyRemote57y ago
What you can expect from us We are a technical, implementation-oriented spin-off of a global management consultancy. Our clients are primarily DAX and Fortune Global 500 companies, which we advise on issues in the areas of analytics, big data and machine learning. Within the group, we take on the development of individual and data-driven solutions in order to transform our clients into AI-powered companies. We offer an international working environment with agile teams and creative startup methods as well as above-average remuneration and numerous additional benefits. With our offices in Hamburg, Munich and Düsseldorf and our hub locations in all other major German cities (Berlin, Frankfurt and Stuttgart), we ensure that all colleagues are integrated into our team of experts across Germany. As an Senior AI Engineer at Eraneos, you’ll combine the worlds of data science, machine learning, software engineering and consulting. Your mission is to develop and operationalize AI models that deliver measurable impact for our clients. You collaborate closely with stakeholders to understand business problems, transform them into data-driven approaches, and translate insights into production-ready end-to-end solutions. You’ll design, implement, and evaluate AI- and ML use cases– from classical ML to cutting-edge LLMs – and ensure their robust deployment and monitoring in real-world environments. Alongside building prototypes, you focus on MLOps practices, software development, and integration, ensuring reproducibility, scalability, and continuous improvement of AI systems. You communicate your results with clarity and confidence to technical and non-technical audiences alike, making complex solutions understandable and actionable. You enjoy thinking beyond the short-term implementation level to create lasting impact for our clients' business. Who you are You have proven experience in data science, statistics, machine learning, software engineering, and / or applied AI projects
Eraneos · 🇩🇪 Hamburg, GermanyRemote57y ago
What you can expect from us We’re a high‑energy cloud- and data engineering team looking for like-minded, motivated tech builders. We are driven by ownership and business outcomes. As the analytics unit within a global management consultancy, we turn data-driven strategies into production systems. Our clients are DAX and Fortune Global 500 leaders who trust us for our expertise across data platforms, big data and cloud engineering. You’ll join an international environment with agile squads and a boutique spirit with room to experiment and grow, paired with above‑market compensation and an attractive benefits package. What you’ll do as part of our cloud- and data engineering team: Take ownership for projects end to end: From scoping to stakeholder alignment and the delivery of measurable outcomes Design data architectures for batch and streaming workloads, both at small and big data scales Provision and manage the underlying cloud infrastructure to support those architectures on providers such as AWS, Azure or GCP Building Python ETL/ELT pipelines, orchestrated with Airflow, Dagster , or Prefect. Work with data lake technologies and optimize (OLAP) data ware-/ lakehouses Model and store data across SQL and NoSQL databases, as well as optimizing performance and costs Create web APIs with popular Python frameworks (e.g., FastAPI and Flask) and describe them using standards like OpenAPI /Swagger Automate deployments using Infrastructure-as-Code and container technologies such as Docker, Kubernetes or OpenShift Who you are A passionate data engineer who loves being at the forefront of modern, AI-driven technology, but also cares about the engineering craftmanship. Relevant hands-on experience with a cloud hyperscaler (preferably AWS, Azure or GCP). Preferably experience building production-grade software. Python development with idiomatic and well-tested code. Skilled in performance tuning and optimization of relational databases (e.g., through indexing, sharding or part
Spotify · 🇬🇧 London, United KingdomRemote57y ago
We are looking for a Senior Backend Engineer to join the Subscriptions Mission. This team oversees the entire user journey on Spotify and ensures we engage with people in innovative ways, every step of the way. Our team grows Spotify’s audience by finding future listeners around the world and delivering the right value to them, at the right time. With research, product development, product design, engineering, and marketing all collaborating in one organization, we’re able to quickly create meaningful features and services for millions of people around the world, resulting in joyful, long-lasting relationships with Spotify. As a Senior Backend Engineer you will participate in building and maintaining the systems responsible for driving user conversion, retention and upsells together with other R&D teams, Marketing and Growth. The team is uniquely positioned to play a key role in a new effort to strengthen our platform capabilities in this area to support the rapidly growing business needs of the ever-changing product portfolio. We are moving towards a more user focused, contextual conversion, retention and upsell experience that is less manually operated, and more consistent across channels, using levers like machine learning and personalisation. We want to solve this through a platformised approach utilising new systems for decision-making on what we want users to see combined with a content management solution that can handle all the necessary complexities. What You'll Do Architect, develop and operate Java services that serve our users through the merchandising platform to enable cohesive and relevant conversion and upsell journeys. Collaborate with our squad and key internal partners to determine how to design scalable backend systems, data models and APIs that run on Google Cloud Platform. Be a technical leader, mentor and valued contributor in an autonomous, cross-functional agile squad, in close collaboration with other squads and business stakeholders. Colla
mongodb · 🇦🇺 Sydney, AustraliaRemote57y ago
<p>The Storage Layer Services team is currently re-architecting the MongoDB Cloud Storage Layer. This is a relatively new team in MongoDB that sits at the heart of the next generation MongoDB Cloud Storage Architecture, and the team is working to build performant multi-tenant distributed storage services both to enhance our existing MongoDB cloud storage architecture and to power more of our customers' use cases more efficiently.</p> <p>Engineering at MongoDB is globally distributed, with a mix of folks being fully remote, hybrid, or in-office. We have a small but growing team that calls Sydney home, and we are looking for a Staff Engineer to join the team working closely with other teams in Sydney and North America.</p> <p>Our team champions a strong culture of inclusivity, diversity, and collaboration. If you want to work on a collaborative team that applies great engineering fundamentals to deliver core features of a popular database, join us! Let’s change what’s possible for application developers, system architects, and database operators.</p> <p>We are looking to speak to candidates who are based in Sydney for our hybrid working model.</p> <h3>You’re an ideal candidate if:</h3> <ul> <li>You have 10+ years of experience in programming, debugging, and performance tuning highly concurrent and/or distributed systems. Especially if you have worked in a systems language (C, C++, Rust, etc) for a number of those years</li> <li>You have a track record as an effective technical leader. You love helping teams be successful at solving vaguely defined problems in iterative and measurable ways. You put the customer first, and don’t hesitate to cross team boundaries in search of the right solution</li> <li>You have a solid grasp of related systems fundamentals, such as cache management, log-based recovery, transactions or performance profiling</li> <li>You’re comfortable reasoning about highly concurrent, asynchronous services — backpressure, tail latency, and the failure m
GrowInTheRole · 🇩🇪 Cologne, GermanyRemote57y ago
Bei GrowInTheRole bieten wir einen digitalen Lernraum, in dem Führungskräfte herausfordernde Mitarbeitendengespräche mit KI-Charakteren in einem geschützten Rahmen simulieren, differenziertes Feedback erhalten und durch passgenaue Lernimpulse ihre Kommunikations- und Führungskompetenzen weiterentwickeln. Dafür kombinieren wir psychologisches und didaktisches Know-how mit moderner KI-Technologie zu einer interaktiven, praxisnahen und ortsunabhängigen Lernerfahrung. Als Ausgründung der FEEDBACKPEOPLE Managementberatung sind wir erfolgreich am Markt gestartet. Unser Ziel: GrowInTheRole zum international marktführenden Player im Bereich AI-powered Leadership Development machen. Dafür suchen wir Menschen, die mit ihrem Know-how und Einsatz diese Vision mit uns Wirklichkeit werden lassen. DEUTSCHLANDWEIT (REMOTE MÖGLICH) | AB SOFORT | EINSTIEGSGEHALT: 50.000 - 60.000€ JAHRESGEHALT (BEI 40 STUNDEN/WOCHE) Aufgaben Du verantwortest den technischen Betrieb unserer KI-gestützten Lernplattform – von der Qualität neuer Features bis zur Infrastruktur dahinter. Du bist die Schnittstelle zwischen Produkt, Technologie und den KI-Diensten, auf denen GrowInTheRole basiert, und entwickelst unsere Produktstrategie aktiv mit. Produktentwicklung & Priorisierung: Du arbeitest an der Schnittstelle zwischen unserem Psychologie-Team, das die Inhalte verantwortet, und der Backend- und Frontend-Entwicklung. Du übersetzt zwischen den dreien: Dazu bringst du inhaltliche Anforderungen in die technische Umsetzung mit ein, gibst Entwicklungsstände zurück und sorgst dafür, dass alle vom Gleichen sprechen. Du lieferst mit deinen Erkenntnissen aus Testing, Support und Technology Scouting den Input für unsere Produkt-Roadmap und priorisierst, was als Nächstes umgesetzt wird. Neue Features testest du systematisch, deckst Probleme früh auf und entscheidest, wann ein Feature live gehen kann. Qualitätssicherung & Testing: Du baust unsere QA-Prozesse auf und entwickelst sie kontinuierlich weiter. Wenn Fehler
Clera · remoteRemote57y ago
About the Role We are a well-funded AI/ML company operating at the intersection of geospatial intelligence and infrastructure analytics. Our engineering team is distributed across Europe and North America, and we're looking for a Senior Site Reliability Engineer to take ownership of our cloud infrastructure and elevate our DevOps and reliability practices. In this role, you'll evolve our Google Cloud Platform (GCP) infrastructure, mature our observability platform, drive incident management processes, and partner closely with Product & Engineering teams to ship reliable, high-quality software. You'll be a key voice in championing SLOs, error budgets, and DORA metrics across the organisation. What You'll Do Design, evolve, and scale our cloud infrastructure on GCP. Build tooling and automation that promote team autonomy and reduce toil. Advance our observability platform, improving mean time to recovery (MTTR) and system visibility. Build transparency into infrastructure costs and drive cost optimisation initiatives. Champion reliability best practices including SLOs/SLIs, error budgets, and post-incident reviews. Lead on-call rotations and incident management, fostering a blameless culture. Help engineering teams leverage GCP effectively and govern usage at scale. What We're Looking For Required: 3+ years of Site Reliability Engineering or production SRE experience. Strong proficiency with Google Cloud Platform (GCP) , including cost optimisation and governance. Nice to Have / Additional Skills: Hands-on experience with Kubernetes for cluster and workload management. Infrastructure as Code experience — Terraform , Deployment Manager, or similar. Scripting and automation skills in Python , Bash , or Go . Strong observability stack experience: Prometheus , Grafana , OpenTelemetry , logging, and tracing. Proven ability to define and implement SLOs/SLIs and error budgets. Experience with incident management, post-incident reviews, and on-call rotations. Location This is
1KOMMA5˚ · 🇩🇪 Berlin, GermanyRemote57y ago
1KOMMA5° At 1KOMMA5° , we pursue a clear vision: Living on wind and sunlight forever for free . To make this a reality, we are building the energy system of the future with Heartbeat AI. Want to be part of it? We bring together regional craftsmanship and scalable software: We don't think of solar, batteries, heat pumps, and e-mobility as isolated components, but control them as an intelligent, integrated overall system in our virtual power plant. Directly connected to the electricity market – in real time, fully automated. This way, energy is used when it is available from renewables and particularly cost-effective. By 2030, our goal is to transition 1.5 million households to renewable energies. Over 3,000 people are working towards this every day, at more than 80 locations worldwide, from Finland to Australia. Want to take responsibility and build solutions that truly matter? Apply now and help us shape the energy world of tomorrow. Learn about our Product & Tech team! Deine Position You'll help shape the Virtual Assembly Line (VAL) team, which builds and scales our growth and operations systems: MarTech, CRM, Payment, Fulfillment and Installation, so we can scale globally with maximum efficiency and quality. Own technical direction across VAL's growth and operations engineering domain, keeping architecture aligned with product direction, and hold the team accountable for consistent execution of those decisions Set the technical bar for the teams, stepping into the hardest problems yourself rather than just directing others Translate business and product requirements into technical solutions that scale as we digitize the installation branches further Architect our systems and APIs so AI agents operate as first-class users with machine-readable contracts Drive VAL's shift to agentic engineering, reshaping how the team works so agents execute safely while humans stay accountable Mentor and challenge engineers within VAL to accelerate their growth Build a high-perform