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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AWS Dev Ops Engineer (Hybrid) - **Company:** Securian - **Location:** Saint Paul, MN, United States - **Experience:** Experienced - **Salary:** $89,000.0 - $164,300.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Bash Shell, Cloud Computing, Cloud Database, Cloud Engineering, Continuous Integration, Information Engineering, Data Governance, DevOps, Github, Apache Hive, Identity and Access Management, Data Intelligence, Python (Programming Language), PostgreSQL, Linux System Administration, Machine Learning, Network Configuration and Change Management, Performance Tuning, Windows PowerShell, Cloud Services, Shell Script, Unstructured Data, AWS Cdk, Data Logging, Scripting, Data Storage Technologies, Snowflake, Apache Spark, Amazon Virtual Private Cloud (VPC), Git, Cloudformation, Amazon Relational Database Service, Infrastructure Automation Frameworks, Deployment Automation, Data Analytics, Data Management, Machine Learning Operations, Functional Programming, Cloudwatch, Terraform, Data Pipelines, Docker, User Administration, Amazon Redshift, Control M - **Published:** May 22, 2026 - **Apply:** https://jobs.localjobnetwork.com/job/detail/87240017/AWS-Dev-Ops-Engineer-Hybrid ## About the Role * 2-5 years of experience in cloud infrastructure engineering, with a focus on AWS. * Experience working with structured and unstructured data and data storage technology RDS Postgres, S3 * Proficiency in Infrastructure as Code tools (Terraform, CloudFormation, or AWS CDK). * Experience with AWS services relevant to data and analytics (e.g., Glue, Redshift). * Familiarity with DevOps tools and practices (e.g., Git, GitHub, CI/CD, Docker). * Basic scripting skills in Python, Bash, or PowerShell. * Understanding of cloud networking, security, and cost optimization principles. * Strong communication and collaboration skills., * AWS certification (e.g., AWS Certified Solutions Architect - Associate, Associate Developer or Associate Machine Learning Engineer). * Exposure to big data tools and frameworks (e.g., Spark, Hive). Airflow, Control M, Streamsets * Cloud Data Platforms: Snowflake, AWS Redshift, RDS, Postgres * Data Governance & Cataloging: Informatica Intelligent Data Management Cloud (IDMC), Cloud Data Governance and Catalog (CDGC) * Master Data Management: Reltio MDM for authoritative data domains * AI Enablement: SageMaker, AWS Bedrock, Textract, etc. for AI development, MLflow for model lifecycle management * Experience working in agile or cross-functional teams. #LI-Hybrid**This position willhave a hybrid working arrangement, workingin-officefor a minimum of3days aweek.** ## Description We are looking for an AWS Dev Ops Engineer with hands-on experience in AWS Tools to help build and maintain cloud infrastructure that supports our data and analytics platforms. This role is ideal for someone with a solid foundation in cloud engineering who is ready to take ownership of infrastructure components and collaborate across teams to deliver scalable, secure, and efficient solutions. Executes projects to research, proof of concept, and implement new solutions. Maintains awareness of trends and technologies to meet new and emerging stakeholder requirements., * Champion the selection of Data and Analytics platforms and tools to be used across the enterprise. * Engage with users and vendors to execute technology proof of concepts that validate use cases and the value of new solutions. * Onboard new platforms and tools to ensure solutions are adopted effectively across the organization. * Collaborate with Data Engineering and Data Science teams to identify tooling gaps and inefficiencies and partner to implement solutions for their needs. * Build and maintain AWS infrastructure using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation. * Configure and manage core AWS services including EC2, S3, IAM, RDS, Lambda, Glue, Redshift and VPC Networking. * Support data engineering and analytics teams by provisioning and optimizing cloud resources for data pipelines and analytics workloads. * Implement monitoring, logging, and alerting solutions using tools like CloudWatch. * Participate in CI/CD pipeline development and deployment automation. * Ensure infrastructure security through proper IAM policies, encryption, and network configurations. * Collaborate with data engineers, data scientists, and solution architects to improve infrastructure design and performance. * Document infrastructure processes and configurations for operational transparency and team knowledge sharing. * Ability to work with ambiguity and organize requirements to identify options. * Ability to build productive relationships and collaborate with partners and stakeholders. * Proficient in managing and maintaining Linux-based systems, including installation, configuration, performance tuning, and troubleshooting. Experienced with shell scripting, system security, user management, and automation tools to ensure reliable and efficient server operations. ## Related Videos - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [30 powerful AWS hacks in just 30 minutes: Boost your developer productivity](https://www.wearedevelopers.com/videos/1624-30-powerful-aws-hacks-in-just-30-minutes-boost-your-developer-productivity) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [DevOps Engineer Salary [2023]](https://www.wearedevelopers.com/magazine/203-devops-engineer-salary-2023) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs)