DevOps Engineer

• Administer and support FlexDeploy and related CI/CD and configuration tooling.
• Manage source control integrations, branching strategies, build pipelines, and deployment automation workflows.
• Develop and enhance automation for Oracle Cloud deployments, configurations, and environment promotions.
• Define, implement, and maintain deployment standards, code promotion processes, and migration controls.
• Establish governance policies ensuring all deployments are traceable, auditable, and compliant with DevOps best practices.
• Maintain deployment approval workflows and change management integration.
• Serve as the primary coordinator and executor for production releases.
• Manage the Observability and Monitoring platform and develop monitoring and alerts for Oracle Cloud solutions.
• Establish deployment metrics, KPIs, and release health reporting.
• Partner with platform teams to improve system reliability, deployment velocity, and operational maturity.
• Troubleshoot pipeline failures and deployment issues.
• Develop and maintain the DevOps roadmap for Oracle Cloud platforms.
• Evaluate emerging Oracle and third-party CI/CD tools and capabilities.
• Lead adoption of deployment automation best practices.
• Drive continuous improvement initiatives related to DevOps practices.

Senior DevOps Engineer – Oracle Cloud Platforms

• Leading the design and implementation of robust, scalable, and secure cloud-native solutions on AWS.
• Collaborating with security experts to translate organizational security requirements into secure and compliant cloud implementations.
• Developing and maintaining infrastructure-as-code to manage and provision infrastructure across numerous Azure and AWS accounts, ensuring consistency and efficiency.
• Maintaining and optimizing CI/CD automation pipelines to facilitate rapid and reliable software deployments.
• Crafting automation scripts in Python, Bash, JavaScript, and other relevant languages to streamline operational workflows.
• Contributing to the development and maintenance of infrastructure supporting Generative AI applications on domain-specific datasets.
• Automating the creation and management of front and back-end applications, pipelines, security tooling, etc.
• Defining and advocating for best practices and standards for DevOps success across Element 84 and our customer organizations.

Senior DevOps Engineer – NOAA Badge Required

• Designing, developing, implementing, and supporting solutions across the ServiceNow platform
• Building and supporting employee-focused digital solutions that streamline workflows
• Collaborating with Product Owners, Business Analysts, QA teams, and other IT stakeholders
• Delivering scalable, secure, and reliable solutions that improve operational efficiency
• Contributing to enterprise-wide solutions and continuously expanding ServiceNow expertise

DevOps Engineer III

• Lead the design and implementation of the infrastructure and CI/CD pipelines for applications
• Maintain and improve the reliability of existing systems
• Work alongside Product Teams to implement and improve processes
• Mentor a team of DevOps engineers
• Design, implement and automate Cloud Infrastructure in Azure & AWS using Infrastructure as Code tools such as Terraform, Ansible and Jenkins
• Build and help maintain CI/CD pipelines across multiple environments
• Advise and implement Cloud Native solutions as appropriate
• Ensure infrastructure solutions are compatible with organizational DevOps and Security patterns

Lead DevOps Engineer

• Part of a team responsible for the effective provisioning, installation, configuration, operation, and maintenance of version control systems, build tools, and continuous integration tools
• Work closely with development teams to support applications and promote Site Reliability Engineering (SRE) practices
• Continuously identify ways to improve deployment reliability and reduce the level of manual intervention required
• Design and implement high-availability solutions, including load balancer configurations
• Participate in 24/7 support coverage for your area of responsibility, including occasional after-hours work and on-call duties.

• Serve as the reliability engineering expert for your primary domain (Network, Middleware, Database, or Storage) while partnering across adjacent technology disciplines
• Lead the investigation and resolution of complex production incidents, identifying root causes and implementing long-term corrective actions
• Apply SRE principles including service level indicators (SLIs), service level objectives (SLOs), error budgets, and reliability engineering practices to improve platform health
• Lead capacity analysis, forecasting, and utilization reviews to identify future scaling risks and prevent service degradation before customer impact occurs
• Perform deep performance analysis across infrastructure layers, identifying bottlenecks, contention points, latency drivers, and resource inefficiencies
• Identify and remediate configuration drift, operational debt, and platform hygiene issues that impact long-term reliability
• Drive proactive reliability improvements through observability, automation, performance optimization, and resiliency engineering
• Design and implement automation solutions that eliminate operational toil, reduce manual intervention, and improve recovery capabilities
• Define and enhance enterprise observability standards through metrics, logging, tracing, alerting, and service health monitoring
• Partner closely with engineering, infrastructure, application, cloud, and operations teams to improve platform performance and availability
• Lead blameless post-incident reviews and convert recurring operational issues into measurable engineering improvements
• Identify reliability risks and communicate technical recommendations to engineering leaders and senior stakeholders
• Mentor engineers and technical teams on reliability engineering, operational excellence, automation, and platform best practices

Lead Platform Reliability Engineer

• Maintain and optimize AWS infrastructure, ensuring system reliability, and implementing disaster recovery strategies
• Manage and optimize AWS services including ECS, Lambda, RDS, S3, CloudFront, and VPC configurations
• Design, implement, and maintain disaster recovery plans for critical systems and databases
• Perform routine system maintenance including patching, updates, and security hardening
• Support application deployments for Angular containers, NestJS servers, and Java Spring Boot services
• Implement and maintain AWS security best practices including IAM policies, security groups, and encryption
• Maintain comprehensive monitoring solutions using CloudWatch, application logs, and custom metrics
• Monitor and optimize AWS costs through resource right sizing and reserved capacity planning
• Create and maintain operational documentation, runbooks, and architecture diagrams
• Work closely with SRE team on infrastructure reliability and incident response

Senior DevOps Engineer

• Partner with development teams to embed security practices that enable safe, scalable, and high-quality product delivery
• Design and implement automated security solutions within CI/CD pipelines to strengthen application security posture
• Integrate and optimize application security testing tools (SAST, DAST, SCA, MAST) across multiple development environments
• Influence secure architecture decisions by contributing to the design and implementation of modern applications and platforms
• Lead security assessments, threat modeling, and vulnerability analysis to proactively identify and reduce risk
• Develop and enhance reusable security services, tooling, and automation frameworks that support enterprise-wide DevSecOps maturity
• Provide expert guidance to engineering teams on secure development practices and emerging security trends
• Strengthen collaboration across cross-functional teams to promote a culture of shared security ownership
• Ensure alignment with regulatory and compliance requirements (e.g., HIPAA, PCI-DSS, GDPR) where applicable
• Improve security operational efficiency, performance, and cost optimization across application environments

Information Protection Advisor – Product Security, DevSecOps

• Treat Release as a Product: Define the roadmap for our deployment internal developer platform (IDP)
• Gather feedback, and build features that solve real developer pain points
• Build smart guardrails and abstractions around AWS, Kubernetes, and GitOps workflows
• Partner with cloud platform to ensure the release platform accommodates varied workflows
• Act as a key collaborator and liaison with global Samsung engineering teams
• Establish clear, shared release standards and "Golden Paths"
• Manage, mentor, and grow a team of Release and DevOps engineers
• Utilize AI-tooling to accelerate the internal developer platform
• Partner with engineering leads to champion progressive delivery practices
• Own the documentation, golden paths, and onboarding experiences
• Build automated smoke testing, canary analysis, and instant rollback mechanisms

Engineering Manager, Release Engineering

• Develop and implement the application infrastructure using computer science principles and concepts
• Write automation scripts to automate manual tasks
• Use IaC code to develop the AWS infrastructure
• Monitor the applications to ensure they adhere to the organization’s security best practices
• Design, develop, work with, and troubleshoot the AWS cloud service to support the application platform
• Push the developed code in the Git repository
• Review peers’ code to maintain the consistency of the code
• Troubleshoot issues to unblock the development team’s work
• Communicate technical requirements for task accomplishment

Senior Cloud and DevOps Engineer

• Perform daily support for applications and users
• Troubleshoot user issues, CICD pipelines, scripting issues, and cloud services
• Review system and application logs, and verify completion of automated processes
• Perform ongoing performance tuning, infrastructure upgrades, and resource optimization as required
• Work with project teams to document and deploy new projects
• Provision and configure hardware, peripherals, services, settings, directories, storage, etc. in accordance with standards and project/operational requirements
• Research, develop, and implement innovative and where possible automated approaches for system administration tasks
• Maintain and contribute to our knowledge base and documentation
• Influence broader technology groups in adopting Cloud technologies, processes, and best practices
• Creative thinking and proposing solutions to grow our business by delighting our clients
• May perform other duties as assigned

DevOps Engineer II, AWS

• Provide operational support and engineering across Shared Capabilities Services and Platforms.
• Troubleshoot and escalate production issues; monitor and communicate status until resolved.
• Build and maintain monitoring and alerting for all aspects of our infrastructure.
• Automate IaC and CI/CD, promoting best practices for CI/CD processes.
• Maintain end-to-end security and ensure best practices standards are met.
• Participate on a Scrum team and collaborate with various Engineering roles.
• Guide the implementation process ensuring operability and existing service levels are maintained or improved.

Senior Cloud Operations Engineer

Senior Information Protection Advisor – Product Security, DevSecOps

• Ensure high availability, performance, and reliability of the PCS Data Warehouse
• Proactively identify system risk and remediate before impact
• Lead root cause analysis and implement permanent fixes
• Reduce repeat incidents through automation and design improvements
• Monitor data pipelines, batch processing, and platform health
• Optimize ETL jobs, SQL queries, and data pipelines for performance and efficiency
• Identify bottlenecks across data processing, scheduling, and infrastructure
• Drive tuning of database workloads and batch execution windows
• Improve throughput, reduce latency, and lower resource consumption
• Standardize performance best practices across development teams
• Own major incident response and coordination
• Drive post-incident reviews and corrective actions
• Improve MTTD and MTTR
• Define and enforce coding standards for ETL, SQL, and data workflows
• Automate deployments, validation, and recovery processes
• Drive continuous platform optimization and modernization
• Partner with ETL developers, data owners, and business teams

Senior Reliability Engineer

• Architect, design, and implement scalable, cloud-native solutions on Google Cloud Platform (GCP) using serverless technologies (Cloud Run, Cloud Functions) and Kubernetes (GKE)
• Lead end-to-end delivery of infrastructure and platform solutions, including design, development, testing, deployment, and continuous improvement
• Own and evolve the organization’s CI/CD strategy, including build automation, testing gates, and production deployment workflows
• Design and maintain containerized workloads (Docker, Kubernetes), including Helm charts, autoscaling strategies, and service mesh configurations
• Build and optimize serverless architectures to improve scalability and reduce operational overhead and cost
• Establish and enforce best practices for scalability, availability, security, and performance across production systems
• Drive observability and monitoring strategies (logging, alerting, incident response)
• Lead production support and reliability efforts, including incident management, root cause analysis, and postmortems
• Mentor engineers on cloud architecture, DevOps practices, and infrastructure-as-code patterns
• Partner cross-functionally with product, security, and engineering teams to deliver business value quickly
• Manage complex initiatives in an agile environment, balancing technical debt with feature delivery
• Identify and evaluate emerging technologies, rapidly prototyping solutions to inform technical direction
• Champion automation, process improvement, and tooling modernization across engineering

• Lead complex, broad impact initiatives including provision of high level systems consultation for the technology teams
• Work as key participant in large scale planning of computer systems and network infrastructure for Systems Operations functional area
• Review and analyze complex technical challenges, as well as escalated support issues related to core business solutions that require in depth evaluation of multiple factors, such as alternatives, enhancements, periodic systems reviews, or improvements to existing systems
• Make decisions on technical changes and enhancements
• Consult with engineering team on change design requiring solid understanding of technical process controls or standards that influence and drive new initiatives
• Collaborate and consult with technical peers, colleagues, and mid to more experienced level managers to resolve systems support issues and achieve goals
• Provide SME knowledge related to the Workday vendor product and associated support.
• Provide SME knowledge related to data distribution and batch related activities for HR data.
• Help mature and transform the team to a best-in-class service organization
• Drive adoption of core tooling and align to ITIL services
• Execute incident, problem, change and release management across a wide range of applications and technologies
• Drive remediation activities, run incident bridges, and provide status on active issues
• Drive root cause identification and preventative actions
• Effectively multi-task across a wide range of activities
• Communicate effectively (both verbal and written) with leadership within technology and the business
• Work with vendors and vendor products to troubleshoot issues
• Identify gaps and single points of failure in current technology process or design
• Create, Update and maintain all aspects application specific troubleshooting documentations and runbooks along with training/knowledge transfer to other team members
• Create, Update and maintain all aspects of application specific build/configuration documentation along with training/knowledge transfer to other team members
• Drive identification and development of automation for repetitive tasks and reduce team toil via SRE practices.
• Experience with observability tool setup and configuration for Splunk, AppDynamics or similar.

Lead Systems Operations Engineer – Workday, Data Distribution

• Lead day-to-day AI Quality Engineering activities supporting AI-powered applications, LLM-enabled workflows, intelligent automation solutions, agentic systems, and enterprise AI platforms.
• Implement and mature AI Quality Engineering practices, including AI-native testing approaches, validation processes, runtime quality controls, reusable testing accelerators, and scalable testing frameworks.
• Coordinate AI validation efforts, including functional testing, prompt testing, workflow validation, regression testing, defect management, release readiness, and production quality assurance.
• Partner with AI Engineering, AIOps, LLMOps, Security, Governance, Clinical, Data, and Product teams to ensure scalable and effective quality engineering processes across AI initiatives.
• Support runtime quality and reliability through observability, monitoring, telemetry analysis, incident support, drift detection, distributed tracing, and continuous improvement initiatives.
• Drive adoption of AI-assisted testing, intelligent automation, reusable test assets, and modern quality engineering practices that improve efficiency and quality outcomes.
• Lead delivery coordination activities including sprint execution, testing planning, issue tracking, risk identification, dependency management, and release support.
• Collaborate with clinical, operational, and engineering stakeholders to validate healthcare workflows, payer operations, and AI-enabled business processes while supporting responsible AI deployment.
• Mentor quality engineers, analysts, contractors, and delivery teams while fostering a culture of continuous learning, engineering excellence, and operational accountability.

Manager, AI Quality – Reliability Engineering

• Lead and scale enterprise AI Quality Engineering capabilities supporting AI-powered applications, LLM-enabled workflows, intelligent automation solutions, agentic systems, and enterprise AI platforms.
• Establish and operationalize AI-native quality engineering frameworks, validation methodologies, testing standards, runtime assurance practices, and scalable delivery processes.
• Drive modernization of traditional quality engineering and test automation practices to support AI-enabled workflows, probabilistic systems, intelligent orchestration, and evolving healthcare business processes.
• Lead AI validation strategies, including functional testing, prompt testing, workflow validation, regression testing, release readiness, runtime quality assurance, and production reliability.
• Partner with AI Engineering, Data, Security, Governance, Clinical, and Operational teams to ensure quality, reliability, scalability, and successful deployment of enterprise AI solutions.
• Implement quality controls, governance-aligned testing practices, validation evidence processes, and risk mitigation strategies that support responsible AI adoption and regulatory compliance.
• Advance enterprise observability, telemetry, monitoring, and runtime quality practices to improve traceability, reliability, and confidence across AI-enabled systems.
• Lead AI Quality Engineering delivery activities, including organizational planning, vendor and contractor management, execution governance, tooling strategy, and capability development.
• Build, mentor, and develop high-performing quality engineering teams while fostering a culture of innovation, accountability, continuous improvement, and engineering excellence.
• Research and evaluate emerging AI quality engineering, testing, automation, observability, and runtime assurance technologies to drive continuous improvement and organizational maturity.

Director, AI Quality & Reliability Engineering

• Develops and deploys infrastructure as code using automation and orchestration tools in cloud environments.
• Builds CI/CD pipelines while incorporating automated testing and vulnerability scanning for hosted and containerized applications.
• Establish, maintain, and evolve robust CI/CD pipelines with technologies like Bitbucket, Maven, Jenkins, Ansible and Terraform.
• Monitors CI/CD builds while analyzing trends and making performance improvements to build times.
• Build, scale, and secure critical applications on multiple cloud-native architectures using tools like Terraform, Kubernetes, and Docker.
• Manage incidents and outages within the application and handle production support in general.
• Responsible for building update and upgrade packages and installation of the packages for hosted clients and delivering the packages to the licensed clients.
• Support and maintenance of all daily builds and internal sites.
• Support of all product servers to ensure acceptable tech stacks and resources are in place.
• Work closely with our Architects, Engineers, Product Owners and Application Leads to engineer and build automated solutions.
• Work with the development team to deploy and manage tools that support SDLC automation, configuration management and release management.

DevOps Engineer jobs in Minnesota

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Senior DevOps Engineer – Oracle Cloud Platforms

Senior DevOps Engineer – NOAA Badge Required

DevOps Engineer III

Lead DevOps Engineer

DevOps Engineer

Lead Platform Reliability Engineer

Senior DevOps Engineer

Information Protection Advisor – Product Security, DevSecOps

Engineering Manager, Release Engineering

Senior Cloud and DevOps Engineer

DevOps Engineer II, AWS

Senior Cloud Operations Engineer

Senior Information Protection Advisor – Product Security, DevSecOps

Senior Reliability Engineer

Senior DevOps Engineer

Lead Systems Operations Engineer – Workday, Data Distribution

Manager, AI Quality – Reliability Engineering

Director, AI Quality & Reliability Engineering

Senior Dev Ops Engineer

Senior Dev Ops Engineer