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A senior platform engineer in Helsinki who designs, builds, and operates cloud-native systems and automation tooling, collaborating with cross-functional teams to deliver secure, scalable solutions. The role centers on APIs, containers, observability, and AI-assisted development tools and agent frameworks.
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.
Junior developer on a managed-services/LiveOps team in Helsinki: keeps client production systems running (incident management, monitoring, on-call) while doing small feature development, automation, and reporting. Full-stack work; TypeScript/Python/Java/C#, AWS/Azure/GCP, Spring Boot/Next.js/React, and PostgreSQL/DynamoDB are advantageous. Fluent Finnish is required.
Senior DevOps Engineer working on regulatory reporting for a wealth-management banking client: building and operating Azure cloud infrastructure, Kubernetes/containerized workloads, CI/CD pipelines and infrastructure as code, plus bash/Python automation in Unix/Linux environments.
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.
Procure fertilizer for smallholder farmers in East Africa, using data-driven sourcing strategies and supplier partnerships to ensure timely, cost-efficient delivery.
Hands-on technical lead on Novo Holdings' Data & Analytics team in Copenhagen, architecting, building, and running the company's data platform — pipelines, transformations, CI/CD, and near-real-time delivery — using Azure, Databricks, dbt, Terraform, Python/PySpark, and Azure DevOps, while owning delivery and stakeholder collaboration.
A hands-on technical lead role on Novo Holdings' Data & Analytics team in Copenhagen: design, build, and operate the company's Azure/Databricks data platform, including data pipelines with dbt and PySpark, Terraform infrastructure, CI/CD via Azure DevOps, and near real-time delivery supporting sourcing, due diligence, and portfolio management.
Maersk Container Industry is hiring a Data Engineer in Tinglev, Denmark to design, develop, and maintain data solutions on Microsoft Fabric and Databricks. Day to day, they build scalable data models, pipelines, and reporting solutions—focused on finance and operations data—in collaboration with business stakeholders.
Senior Data Engineer at Maersk designs, builds, and operates scalable batch/streaming data pipelines, governed data products, and analytics foundations using SQL, Python, PySpark, cloud data platforms, and orchestration tooling — enabling BI, self-service analytics, and AI/ML use cases across the enterprise.
Senior Data Engineer at A.P. Moller - Maersk (Denmark) designs, builds, and operates scalable batch and streaming data pipelines, governed datasets, and data products that power BI, analytics, and AI/ML use cases. Core stack includes SQL, Python, PySpark, cloud data platforms, and orchestration/DataOps tooling.
DevOps engineer at consulting firm Deploja AB, working on client and internal projects involving cloud-based deployments, automation, and operations. The core stack is AWS and Java, with Python experience as a plus.
Junior business analyst / junior solution PM supporting client-facing data, AI, and digital projects: gathering and documenting client requirements, doing basic business and data analysis, preparing reports and PowerPoint materials, and coordinating internal delivery teams. Core tools are Excel and PowerPoint, with bilingual English/Mandarin communication required.
Senior Site Reliability Engineer at IO Connect Services, an AWS Advanced Tier consulting partner. The role designs, automates, and scales cloud production services across data centers: writing IaC (Terraform/Ansible), managing Kubernetes clusters and CI/CD pipelines, troubleshooting incidents, and writing postmortems using AWS/Azure/GCP, Python, and PowerShell.
A hands-on 3-month contract (extendable) in Sydney for a Senior DevOps / Build & Release Engineer to own CI/CD and deployment activities across two projects at a large organisation. The core stack is TeamCity and Octopus Deploy, with Azure, PowerShell, GitHub, IIS, Terraform and Docker highly regarded.
A permanent Program Manager role in Melbourne or Sydney owning a multi-year program migrating clients from a legacy platform to a modern cloud/SaaS solution. Day to day: leading MVP validation, designing migration automation strategy, building the operating model, running governance, and sequencing client migrations across product, engineering and client-facing teams.
Forward Deployed Engineer at MAËLYS, a global D2C body care brand in Tel Aviv, to define and lead the company's AI transformation — building production AI workflows, agents, and automations (LLMs, APIs, Python, SQL) that drive business metrics, initially as an IC with the CEO and later building a small team.
Staff engineer designs and maintains a Java/Kotlin (Spring Boot) platform that safely integrates third-party security tools into SentinelOne’s AI-driven SIEM via Kafka, PostgreSQL, and Kubernetes.
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