
ACADEMIC WORK SWEDEN AB · Malmö
Want to build and harden a cutting-edge GitOps delivery engine? We are seeking a Senior DevOps Consultant for an exciting hybrid role in Malmö where your techni...
Want to build and harden a cutting-edge GitOps delivery engine? We are seeking a Senior DevOps Consultant for an exciting hybrid role in Malmö where your technical decisions will shape how high-quality software is shipped. Apply today!
About the role
This is a consulting assignment, which means you will be employed by Academic Work and work as a consultant on site at our client's office in Malmö. The assignment is full-time, starting on 2026-09-01, and runs initially until March 31, 2027, with excellent opportunities for extension. The role applies a flexible hybrid work model.
As a Senior Platform Engineer, you will enter a complex, distributed development environment where software is built both internally and by third-party suppliers. You will play a key role in ensuring software integrity, scalability, and security. You will become part of an open, supportive team that deeply values knowledge sharing, continuous learning, and high-quality engineering.
As this position is located within a security-cleared environment, Swedish citizenship and a approved background security check are required prior to employment.
Work tasks
Building the Platform: Establish, maintain, and continuously improve a declarative GitOps-based delivery platform on Kubernetes using ArgoCD.
Artifact & Supply Chain Governance: Manage and govern JFrog Artifactory, including configuring user permissions, network endpoints, and automated vulnerability scanning (Xray/Curation).
Production Operations: Run, scale, and troubleshoot Kubernetes clusters (AKS) and handle deep container diagnostics in production environments.
System Integration: Support the secure integration of external supplier and third-party software from a platform and configuration management perspective.
Knowledge Transfer: Author SCM/DevOps documentation, establish best practices, and mentor internal development teams on branching and release strategies.
Collaborate with DevOps teams to enhance and optimize CI/CD pipelines
We are looking for
We believe expertise can be gained from different sources and environments. What matters most is your seniority and ability to deliver sustainably without supervision.
Advanced practical knowledge of Kubernetes infrastructure (AKS/Azure or AWS) including Helm, Kustomize, and RBAC.
Advanced practical knowledge of ArgoCD and declarative GitOps delivery workflows.
Good practical knowledge of configuring and securing JFrog Artifactory (Xray experience is a plus).
Advanced practical knowledge of Linux system operations, shell scripting, and container troubleshooting.
Excellent communication skills in English, both written and spoken.
Eligibility for Swedish security clearance (requires Swedish citizenship).
It is meritorious if you have
Good practical knowledge of Infrastructure as Code using Terraform.
Good practical knowledge of production monitoring systems (Prometheus & Grafana) and secrets management (HashiCorp Vault or External Secrets).
Basic or Good knowledge of Python automation or GitHub Enterprise administration.
Goal oriented
Orderly
Assertive
Intellectually curious
About the Company At Avaron, you get the security of permanent employment combined with the variety of working at different customers. We place specialists across everything from tech, IT and industry to project management and business support – and whatever the assignment, you have a consultant manager who is there for you and your development. About the Role You will join a hands-on engineering role focused on making modern development smoother, faster and more reliable. The work centers on improving developer productivity through internal tooling, reusable automation and scalable CI/CD solutions, while also supporting Azure-based data platforms in a cross-functional environment. This role suits you if you enjoy building practical solutions that other engineers rely on every day. You will work close to engineering and platform teams, with plenty of room to influence how workflows, quality and traceability are improved across the broader technical landscape. It is a great opportunity if you want to combine software engineering, DevOps and data-platform work in a role where your solutions will have clear and visible impact. Job DescriptionYou will develop Python-based automation, internal tooling and engineering workflows for production-oriented use. You will build, maintain and improve GitHub Actions, GitHub Workflows and reusable CI/CD pipelines. You will support Azure-based data platforms, including Databricks and related technologies. You will help strengthen software quality, traceability and engineering processes across teams. You will collaborate with engineers and platform specialists to deliver scalable technical solutions. You will contribute in both Windows and Linux environments, with a focus on reliable delivery and efficient development flows. RequirementsStrong Python skills for production-oriented automation and tooling. Practical hands-on experience with Azure Databricks, ideally including development of notebooks, pipelines or jobs, or Spark-based solutions. Experience with Azure data-platform technologies such as Spark, Kafka, Hadoop, schema enforcement, data quality validation or Power BI. Hands-on experience with GitHub Actions, GitHub Workflows and reusable workflow design. Solid Docker experience. Experience working with CI/CD in Windows and Linux environments. Ability to work independently while collaborating across teams. EU citizenship. Nice to haveExperience with data governance and data modelling. Experience with machine learning model deployment. Experience with GitHub CLI, REST APIs or GraphQL APIs. Experience with JFrog Artifactory or similar tools. Experience with Bash and or PowerShell. Experience with Git LFS. Experience with GitHub Enterprise Server and self-hosted runners. Experience with AI-powered developer tools or agentic engineering workflows. What We OfferPermanent employment at Avaron AB Occupational pension Wellness allowance of SEK 5,000 per year Application Selections are made on an ongoing basis – apply as soon as you can.
Är du redo att forma framtidens IT tillsammans med några av branschens vassaste konsulter? Accelerate växer och vi söker nu en Senior Platform Engineers inom OpenStack, Linux & Automation som vill vara med och bygga smarta, hållbara och säkra lösningar i teknikens absoluta framkant. Din roll Som en del av vårt DevOps-team arbetar du i uppdrag hos marknadsledande kunder med att designa, bygga och vidareutveckla moderna plattformslösningar. Du arbetar nära kund i komplexa miljöer där OpenStack ofta är en central del, och är med i hela kedjan – från arkitektur och implementation till vidareutveckling och förvaltning. Du bidrar till att skapa stabila, skalbara och driftsäkra plattformar genom automation, moderna arbetssätt och ett starkt fokus på långsiktighet. I rollen kommer du bland annat att arbeta med: Design, implementation och förvaltning av OpenStack-baserade plattformar Linux i större och komplexa miljöer Containerbaserade lösningar med Docker och Kubernetes Automation av infrastruktur och plattform med Terraform, Ansible och script CI/CD- och GitOps-flöden Migreringar, uppgraderingar och integrationsarbete Vem är du? Vi söker dig som har gedigen erfarenhet inom plattform, DevOps eller infrastruktur och som brinner för att bygga stabila, säkra, effektiva och skalbara plattformslösningar ute hos våra kunder. Du uttrycker dig obehindrat på svenska och engelska i både tal och skrift. För denna position krävs svenskt medborgarskap, vi utför även bakgrundskontroll av slutkandidat. Du bör ha koll på: OpenStack (deployment, drift, vidareutveckling eller förvaltning) Linux i enterprise-miljöer Containerteknik, exempelvis Docker och Kubernetes Script/programmering, exempelvis Bash, Python eller Go Versionshantering i Git Automation och Infrastructure as Code med Terraform och/eller Ansible CI/CD och GitOps Extra plus om du även har koll på: Public cloud (AWS, Azure eller GCP) OpenShift, Rancher eller liknande plattformar HashiCorp Vault eller Consul Observability, loggning eller säkerhetslösningar i plattformsmiljöer Vi erbjuder dig Som anställd på Accelerate erbjuder vi förutom spännande uppdrag och tekniker: Utbildning & certifieringar via våra partners (Red Hat, HashiCorp, GitLab m.fl.) En trygg och säker anställning med bra förmåner Kollektivavtal, friskvårdsbidrag och sjukvårdsförsäkring Flexibilitet, frihet och balans mellan jobb och fritid Att bli del i ett passionerat team med tekniskt vassa kollegor Vi tror på gemenskap och kompetensutbyte – här utvecklas vi tillsammans och stöttar varandra för att alltid ligga i framkant. Placeringsort Accelerate finns på flertal orter i Sverige och Norge. För denna tjänst utgår du från vårt kontor i Malmö, med möjlighet till hybridarbete. Önskad start är snarast eller enligt överenskommelse. Har du frågor? Kontakta Jesper Carlsson på jesper.carlsson@iver.se Vi ser fram emot att träffa dig. Välkommen till Accelerate!
Role Summary We are looking for a hands-on Senior AWS Platform Engineer to own and evolve the cloud platform used by our engineering teams in Lund. This role is focused on shared platform ownership rather than ownership of a single backend module. You will work closely with module owners to make it easier, safer, and faster to build, deploy, monitor, and operate production systems on AWS, including event-driven backend services. We currently use Kubernetes and GitOps-based deployment workflows and are migrating toward a more managed AWS platform. Our backend architecture is event-driven, with IoT-like flows built around events, queues, message brokers, and AWS services such as EventBridge. You will help shape the transition by improving deployment pipelines, infrastructure patterns, managed AWS services, observability, database operations, and backend-facing automation. This is an individual contributor role for someone who combines deep AWS and DevOps experience with strong practical Python skills. What you will do You will own and improve the shared AWS platform capabilities that our backend teams and event-driven services rely on. Your responsibilities will include: • Designing, building, and operating AWS infrastructure used by production backend services. • Driving the migration from existing Kubernetes and GitOps workflows toward managed AWS patterns. • Improving CI/CD, deployment automation, release safety, and rollback workflows. • Building and maintaining Infrastructure as Code, preferably using Terraform and/or AWS-native tooling. • Supporting secure and reliable use of AWS services such as IAM, VPC, RDS, CloudWatch, EventBridge, SQS/SNS, SSM/Parameter Store, Secrets Manager, Lambda, ECS/EKS, ElastiCache/Redis, and related services. • Supporting event-driven architecture patterns, including events, queues, pub/sub, message brokers, caching/Redis, and asynchronous service integration. • Helping backend module owners with platform-related design decisions, event boundaries, production readiness, debugging, and operational improvements. • Supporting managed database operations on AWS, including monitoring, access patterns, backups, restore readiness, performance, and migration support. • Writing Python tooling, automation, and backend/platform code where it improves developer productivity, event-driven integrations, or operational quality. • Improving observability, logging, metrics, alerting, and incident response practices, including visibility into asynchronous event flows, queues, failed messages, and cache behavior. • Identifying and reducing manual, repetitive, or error-prone DevOps work through automation and AI-assisted workflows. • Pushing back on fragile technical solutions and helping teams choose pragmatic, reliable alternatives. This is not a ticket-based operations role. We are looking for someone who takes responsibility for platform outcomes and continuously improves the systems that other engineers depend on. What we are looking for You should already be comfortable working with production systems and taking ownership of cloud infrastructure, deployment workflows, and operational quality. Must-have experience: • Strong hands-on experience with AWS in production environments. • Deep understanding of DevOps, platform engineering, CI/CD, event-driven systems, and infrastructure automation. • Experience with Kubernetes and GitOps-based deployment workflows. • Experience with event-driven or asynchronous backend systems using events, queues, pub/sub, message brokers, EventBridge, SQS/SNS, Redis/ElastiCache, or similar technologies. • Experience migrating or modernizing infrastructure toward managed AWS services. • Strong practical Python experience, either in backend development, event consumers/workers, platform tooling, automation, or internal developer tools. • Experience with Infrastructure as Code, preferably Terraform. • Good understanding of IAM, networking, secrets and configuration management, monitoring, caching, and secure access patterns. • Experience supporting production systems through incidents, debugging, logs, metrics, retries, queue behavior, and operational improvements. • Ability to work closely with backend engineers and help them make better platform and deployment decisions. Important profile traits • Treats platform engineering as a product for developers. • Cares about production behavior, not only infrastructure correctness. • Has strong judgment around reliability, security, cost, and developer experience. • Can make local technical decisions independently. • Is pragmatic and avoids over-engineering. • Is comfortable being accountable for shared platform quality. • Can explain trade-offs clearly to backend engineers and technical leads. • Has embraced AI-assisted development and agentic workflows as practical engineering tools, while still applying strong review, testing, and security discipline. AI-assisted engineering DevOps work includes command-, configuration-, and settings-heavy tasks. We expect this person to be comfortable using modern AI-assisted development tools to reduce manual work, improve speed, and increase quality. This could include using AI tools such as Claude Code to help draft or review Terraform, Kubernetes manifests, CI/CD pipelines, AWS configuration, Python tooling, runbooks, debugging workflows, and documentation. We do not mean blindly trusting generated output. We are looking for someone who knows how to use AI tools responsibly: with review, tests, least-privilege access, clear auditability, and good engineering judgment. Nice to have • Experience with EKS, ECS, Lambda, EventBridge, SQS/SNS, API Gateway, ElastiCache/Redis, MSK/Kafka, or other AWS-native and event-driven runtime patterns. • Experience with RDS operations, database migrations, PostgreSQL, or performance tuning. • Experience with OpenTelemetry, Prometheus, Grafana, DataDog, or similar observability tooling. • Experience with AWS cost optimization / FinOps. • Experience with platform self-service, golden paths, internal developer platforms, or paved-road engineering. • Experience in IoT-like event-driven systems, optimization, control systems, or data-intensive backend systems. • AWS certifications or equivalent demonstrated experience.