{"data":{"id":197887,"slug":"sre-devops-engineer","type":"job","title":"SRE \/ DevOps Engineer","description":"About the Role\nWe are looking for an experienced SRE \/ DevOps Engineer to join our engineering team and help our customer to build, operate, and continuously improve reliable, scalable, and secure cloud-based services in Gothenburg.\nIn this role, you will work closely with development, infrastructure, and operations teams to improve system reliability, automate software delivery, strengthen observability, and troubleshoot complex production issues.\nYou will work in a modern cloud-native environment involving Kubernetes, CI\/CD, public cloud platforms, infrastructure automation, monitoring, logging, and distributed microservices.\nThe role is particularly suitable for someone who enjoys solving complex technical problems and taking end-to-end ownership of production services.\nKey Responsibilities\nOperate and continuously improve highly available production services and cloud infrastructure.\nLead or participate in incident management, troubleshooting, root cause analysis, and post-incident reviews.\nInvestigate complex production issues using logs, metrics, traces, databases, and application-level diagnostics.\nDesign, build, and maintain CI\/CD pipelines for automated build, testing, deployment, and release processes.\nDeploy and operate containerized applications using Docker and Kubernetes.\nImprove Kubernetes workload configuration, scalability, resource utilization, and cost efficiency.\nDevelop and maintain Infrastructure as Code (IaC) and environment automation using tools such as Terraform and Ansible.\nBuild and improve monitoring, logging, tracing, alerting, and observability solutions.\nWork with engineering teams to improve application reliability, performance, resilience, and operational readiness.\nSupport cloud infrastructure across AWS, Azure, and\/or GCP.\nImplement and maintain backup, disaster recovery, capacity planning, and high-availability solutions.\nParticipate in network, access control, IAM, RBAC, and infrastructure security improvements.\nAutomate repetitive operational tasks using Python, Bash, PowerShell, or similar scripting languages.\nProactively identify system risks, performance bottlenecks, capacity issues, and opportunities for automation.\nDocument technical solutions, operational procedures, runbooks, and troubleshooting knowledge.\n\nRequired Qualifications\nSeveral years of professional experience in DevOps, Site Reliability Engineering, Cloud Engineering, Platform Engineering, or Production Operations.\nStrong hands-on experience with Kubernetes and Docker.\nExperience designing and maintaining CI\/CD pipelines using tools such as:\nJenkins\nGitLab CI\nGitHub Actions\nAzure DevOps\nArgoCD\nStrong Linux administration and troubleshooting skills.\nExperience with at least one major cloud platform: AWS, Microsoft Azure, or Google Cloud Platform.\nHands-on experience with monitoring and observability technologies such as:\nPrometheus\nGrafana\nELK \/ Elasticsearch \/ Kibana\nOpenTelemetry or equivalent technologies\nExperience troubleshooting distributed systems and microservice-based applications.\nExperience with Infrastructure as Code, preferably Terraform.\nGood scripting or programming skills in Python, Bash, PowerShell, Java, or similar languages.\nGood understanding of networking, security, IAM\/RBAC, databases, and cloud infrastructure.\nExperience with incident management and root cause analysis.\nStrong communication skills and the ability to collaborate across development, infrastructure, and business teams.\nProfessional working proficiency in English.\n\nPreferred Qualifications\nExperience in one or several of the following areas is considered an advantage:\nMulti-cloud environments involving AWS, Azure, and GCP.\nService mesh technologies such as Istio.\nGitOps and continuous delivery using ArgoCD.\nMessage and event platforms such as Kafka, RabbitMQ, MQTT\/HiveMQ, or cloud Pub\/Sub services.\nDatabases such as PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch, or Neo4j.\nCloud networking including VPC, Transit Gateway, VPN, SD-WAN, load balancing, and DNS.\nBackup and disaster recovery architecture.\nCapacity planning and cloud cost optimization.\nJava \/ Spring Boot based microservice environments.\nLarge-scale distributed or business-critical 24\/7 production systems.\nAutomotive, connected vehicle, IoT, telecom, or other high-availability platforms.\nAIOps, AI-assisted troubleshooting, or automation using LLM-based technologies.\n\nPersonal Qualities\nWe believe you are:\nProactive and comfortable taking ownership of technical problems.\nStructured and analytical when troubleshooting complex systems.\nComfortable working across both development and operations.\nCurious about new technologies and continuously looking for ways to improve automation and reliability.\nAble to work independently while collaborating effectively with multiple teams and stakeholders.\nCalm and solution-oriented when dealing with production incidents.\n\nWhat You Will Work With\nDepending on the project, the technology environment may include:\nKubernetes \u00b7 Docker \u00b7 Linux \u00b7 AWS \u00b7 Azure \u00b7 GCP \u00b7 Terraform \u00b7 Ansible \u00b7 Jenkins \u00b7 GitLab CI \u00b7 Azure DevOps \u00b7 ArgoCD \u00b7 Git \u00b7 Prometheus \u00b7 Grafana \u00b7 ELK \u00b7 Istio \u00b7 Jaeger \u00b7 Kafka \u00b7 RabbitMQ \u00b7 PostgreSQL \u00b7 MongoDB \u00b7 Redis \u00b7 Python \u00b7 Bash \u00b7 Java \/ Spring Boot\nLocation\nGothenburg\nEmployment\nFull-time\nOpen to Everyone\nWe focus on your skills, not your other circumstances. We are open to adapting the role or workplace to your needs.","language":"sv","is_translated":true,"title_original":"SRE \/ DevOps Engineer","description_original":"About the Role\nWe are looking for an experienced SRE \/ DevOps Engineer to join our engineering team and help our customer to build, operate, and continuously improve reliable, scalable, and secure cloud-based services in Gothenburg.\nIn this role, you will work closely with development, infrastructure, and operations teams to improve system reliability, automate software delivery, strengthen observability, and troubleshoot complex production issues.\nYou will work in a modern cloud-native environment involving Kubernetes, CI\/CD, public cloud platforms, infrastructure automation, monitoring, logging, and distributed microservices.\nThe role is particularly suitable for someone who enjoys solving complex technical problems and taking end-to-end ownership of production services.\nKey Responsibilities\nOperate and continuously improve highly available production services and cloud infrastructure.\nLead or participate in incident management, troubleshooting, root cause analysis, and post-incident reviews.\nInvestigate complex production issues using logs, metrics, traces, databases, and application-level diagnostics.\nDesign, build, and maintain CI\/CD pipelines for automated build, testing, deployment, and release processes.\nDeploy and operate containerized applications using Docker and Kubernetes.\nImprove Kubernetes workload configuration, scalability, resource utilization, and cost efficiency.\nDevelop and maintain Infrastructure as Code (IaC) and environment automation using tools such as Terraform and Ansible.\nBuild and improve monitoring, logging, tracing, alerting, and observability solutions.\nWork with engineering teams to improve application reliability, performance, resilience, and operational readiness.\nSupport cloud infrastructure across AWS, Azure, and\/or GCP.\nImplement and maintain backup, disaster recovery, capacity planning, and high-availability solutions.\nParticipate in network, access control, IAM, RBAC, and infrastructure security improvements.\nAutomate repetitive operational tasks using Python, Bash, PowerShell, or similar scripting languages.\nProactively identify system risks, performance bottlenecks, capacity issues, and opportunities for automation.\nDocument technical solutions, operational procedures, runbooks, and troubleshooting knowledge.\n\nRequired Qualifications\nSeveral years of professional experience in DevOps, Site Reliability Engineering, Cloud Engineering, Platform Engineering, or Production Operations.\nStrong hands-on experience with Kubernetes and Docker.\nExperience designing and maintaining CI\/CD pipelines using tools such as:\nJenkins\nGitLab CI\nGitHub Actions\nAzure DevOps\nArgoCD\nStrong Linux administration and troubleshooting skills.\nExperience with at least one major cloud platform: AWS, Microsoft Azure, or Google Cloud Platform.\nHands-on experience with monitoring and observability technologies such as:\nPrometheus\nGrafana\nELK \/ Elasticsearch \/ Kibana\nOpenTelemetry or equivalent technologies\nExperience troubleshooting distributed systems and microservice-based applications.\nExperience with Infrastructure as Code, preferably Terraform.\nGood scripting or programming skills in Python, Bash, PowerShell, Java, or similar languages.\nGood understanding of networking, security, IAM\/RBAC, databases, and cloud infrastructure.\nExperience with incident management and root cause analysis.\nStrong communication skills and the ability to collaborate across development, infrastructure, and business teams.\nProfessional working proficiency in English.\n\nPreferred Qualifications\nExperience in one or several of the following areas is considered an advantage:\nMulti-cloud environments involving AWS, Azure, and GCP.\nService mesh technologies such as Istio.\nGitOps and continuous delivery using ArgoCD.\nMessage and event platforms such as Kafka, RabbitMQ, MQTT\/HiveMQ, or cloud Pub\/Sub services.\nDatabases such as PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch, or Neo4j.\nCloud networking including VPC, Transit Gateway, VPN, SD-WAN, load balancing, and DNS.\nBackup and disaster recovery architecture.\nCapacity planning and cloud cost optimization.\nJava \/ Spring Boot based microservice environments.\nLarge-scale distributed or business-critical 24\/7 production systems.\nAutomotive, connected vehicle, IoT, telecom, or other high-availability platforms.\nAIOps, AI-assisted troubleshooting, or automation using LLM-based technologies.\n\nPersonal Qualities\nWe believe you are:\nProactive and comfortable taking ownership of technical problems.\nStructured and analytical when troubleshooting complex systems.\nComfortable working across both development and operations.\nCurious about new technologies and continuously looking for ways to improve automation and reliability.\nAble to work independently while collaborating effectively with multiple teams and stakeholders.\nCalm and solution-oriented when dealing with production incidents.\n\nWhat You Will Work With\nDepending on the project, the technology environment may include:\nKubernetes \u00b7 Docker \u00b7 Linux \u00b7 AWS \u00b7 Azure \u00b7 GCP \u00b7 Terraform \u00b7 Ansible \u00b7 Jenkins \u00b7 GitLab CI \u00b7 Azure DevOps \u00b7 ArgoCD \u00b7 Git \u00b7 Prometheus \u00b7 Grafana \u00b7 ELK \u00b7 Istio \u00b7 Jaeger \u00b7 Kafka \u00b7 RabbitMQ \u00b7 PostgreSQL \u00b7 MongoDB \u00b7 Redis \u00b7 Python \u00b7 Bash \u00b7 Java \/ Spring Boot\nLocation\nGothenburg\nEmployment\nFull-time\n\u00d6ppen f\u00f6r alla\nVi fokuserar p\u00e5 din kompetens, inte dina \u00f6vriga f\u00f6ruts\u00e4ttningar. Vi \u00e4r \u00f6ppna f\u00f6r att anpassa rollen eller arbetsplatsen efter dina behov.","price":null,"currency":"SEK","status":"active","noindex":true,"location":{"address":null,"full_address":null,"city":"G\u00f6teborg","country":"SE","latitude":57.7072326,"longitude":11.9670171},"metadata":{"region":"V\u00e4stra G\u00f6talands l\u00e4n","duration":"Tills vidare","employer":"markley Konsult AB","positions":1,"profession":"Devops utvecklare","salary_type":"Fast m\u00e5nads- vecko- eller timl\u00f6n","scope_of_work":"100\u2013100 %","working_hours":"Heltid","employment_type":"full_time","occupation_field":"Data\/IT","employer_workplace":"Uni3","experience_required":true,"employment_type_label":"Tillsvidareanst\u00e4llning (inkl. eventuell provanst\u00e4llning)"},"user_id":null,"is_sponsored":false,"views_count":0,"ai_views_count":11,"bot_views_count":0,"ai_vendor_counts":{"meta":7,"other":2,"openai":1,"anthropic":1},"visibility":"public","submission_source":null,"submission_ai_name":null,"has_owner_email":true,"can_contact_owner":true,"phone":null,"owner_email":"info@markley.se","images":[],"published_at":"2026-09-07T09:22:40+00:00","expires_at":"2026-09-20T23:59:59+00:00","created_at":"2026-09-08T03:48:47+00:00","updated_at":"2026-09-17T03:39:57+00:00"}}