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Senior DevOps Engineer at GE HealthCare in Helsinki who designs, builds, and maintains CI/CD pipelines and infrastructure for a medical device software pipeline. Core stack includes GitLab CI/CD, Jenkins, Ansible/Terraform (IaC), Docker, and Linux, with emphasis on automation, monitoring, and security.
Senior DevOps Engineer at GE HealthCare Finland optimizing the software lifecycle for scalable healthcare solutions: building CI/CD pipelines, infrastructure-as-code, and security across multi-product pipelines, while collaborating with dev/QA/ops and mentoring junior engineers in a regulated healthcare environment.
Senior Software Engineer on DNA's (Telenor Group) Digital Channels team in Helsinki, building and operating shared platform capabilities — CI/CD, observability, cloud infrastructure, self-service tooling — plus AI-assisted and agentic development practices that help autonomous teams ship business-critical digital services faster.
Platform & DevOps engineer joining a 3-person Platform & Infrastructure team at Auctionet, an online auction marketplace. Day to day: run and harden Kubernetes-on-Hetzner production infrastructure as code, own CI/CD and developer experience, and build new AI-agent hosting environments plus internal APIs (with AWS and Rails/Elixir systems in the mix).
Platform & DevOps engineer at Auctionet building AI infrastructure and production pipelines for a marketplace with over a million buyers. Day to day you own CI/CD, infrastructure-as-code, and observability, with a strong emphasis on security and sandboxing of AI agents, working hybrid from Stockholm as one of three platform engineers.
Senior platform engineer at DNA (Telenor) in Helsinki building shared platform capabilities, automation, and agentic AI development tools to enable autonomous, scalable delivery of digital services. Day-to-day work centers on cloud-native solutions, CI/CD, observability, and tooling with a focus on responsible AI and secure engineering.
Senior backend C#/.NET developer at SEB (Solna) building the Investment Overview platform — the data sourcing, aggregation and API layer behind what bank customers see in the app/web. Day to day: designing scalable, high-availability services with Docker/Kubernetes on GCP, REST/GraphQL/gRPC APIs, event-driven messaging and CI/CD in a small agile team.
Software Point (part of the LabVantage group) is hiring a Software Engineer in Espoo to design, build, unit-test, and document integrations, device interfaces, and modules for its LIMS laboratory software used globally in pharma/biotech research, environmental labs, and healthcare — primarily in Java/JavaScript, with agentic AI tools like Cursor, Claude, and Gemini part of daily work.
Senior Java backend developer at SEB Kort building and maintaining everyday payment-card services such as loyalty programs, discounts, Apple Pay provisioning, digital receipts, transaction management, and dispute handling. Day to day: designing Java/Spring Boot microservices and REST APIs in a cross-functional agile team.
Principal-level Kubernetes engineer designing and building production-grade cluster lifecycle, networking, storage, and automation for GPU-accelerated bare-metal AI infrastructure, primarily using Kubernetes, Go, and cloud-native tooling.
Senior QA Automation Engineer who builds and owns the entire test practice from scratch for Highlight Health's Claims Intelligence Platform, defining unit/integration/E2E strategy, AI extraction-regression testing, and database row-level security checks. Core stack: Playwright, Puppeteer, Vitest, React Testing Library, pytest, PostgreSQL, and Azure DevOps CI/CD.
Pre-sales Solution Architect at RetailNext acting as the technical lead for Asset Protection sales: running discovery, delivering demos, scoping technical infrastructure, and answering hard technical questions for retail loss-prevention prospects. Core areas: IP networking, camera/video systems, POS integrations, and cloud video analytics.
Digital Design Engineer at Samsung's R&D Center (SIRC) in Tel Aviv, working on the Advanced Sensor Products Design team building image sensor IPs (WDR, Depth, ToF, automotive). Day-to-day involves RTL design and debugging in Verilog/VHDL, integrating complex digital blocks and subsystems, and collaborating with software, algorithms, and verification teams.
Data analyst at Sberbank Insurance who builds and maintains data marts for insurance products, mobile-app funnel analytics, and automated reporting pipelines, then hands them to prod engineering while working closely with business stakeholders. Core stack: SQL/Greenplum, Python, Hadoop/Hive/Spark, advanced Excel, simple ML, CI/CD.
Procure fertilizer for smallholder farmers in East Africa, using data-driven sourcing strategies and supplier partnerships to ensure timely, cost-efficient delivery.
Senior backend engineer on Navan's AI-first team building and scaling the next-generation corporate expense platform, including global payments, issuing, and money ledger systems. Day-to-day work centers on Java/Spring Boot services, distributed microservices on AWS, and end-to-end ownership of customer-facing features.
Builds and maintains scalable data pipelines for financial market data, transforming raw disclosures and market feeds into structured investment insights using Python, SQL, and distributed systems.
Optimizes vision inspection systems on the production line and supports daily manufacturing operations as part of a five-person vision team at a pharmaceutical packaging company. Best suited to someone with an IT or engineering background, 3+ years of relevant experience, and knowledge of vision system components.
Leads one or more engineering teams at Maersk (based in Copenhagen) building scalable data platforms and AI-enabled capabilities, spanning data engineering, platform development, and agentic AI. Works closely with Product, SAP, Infrastructure, and Data teams while owning delivery, quality, reliability, and DevOps practices.
Senior Data Engineer at Maersk in Denmark who designs, builds, and operates scalable data products and pipelines powering business insights and AI-enabled decision-making. Day to day involves orchestration, data quality, productionized data solutions, and translating stakeholder needs into robust data models alongside analytics and AI/ML teams.
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