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AWS Dev Ops Engineer; Hybrid

Job in Saint Paul, Ramsey County, Minnesota, 55199, USA
Listing for: Securian Financial
Full Time position
Listed on 2026-02-21
Job specializations:
  • IT/Tech
    Cloud Computing, Data Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: AWS Dev Ops Engineer (Hybrid)

Position Summary

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.

Responsibilities
  • 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 Cloud Formation.
  • 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 Cloud Watch.
  • 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.
Qualifications
  • 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, Cloud Formation, or AWS CDK).
  • Experience with AWS services relevant to data and analytics (e.g., Glue, Redshift).
  • Familiarity with Dev Ops tools and practices (e.g., Git, Git Hub, CI/CD, Docker).
  • Basic scripting skills in Python, Bash, or Power Shell.
  • Understanding of cloud networking, security, and cost optimization principles.
  • Strong communication and collaboration skills.
Preferred Qualifications
  • 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:
    Sage Maker, AWS Bedrock, Textract, etc. for AI development, MLflow for model lifecycle management.
  • Experience working in agile or cross‑functional teams.
Hybrid Work Arrangement

This position will have a hybrid working arrangement, working in‑office for a minimum of 3 days a week. Securian Financial believes in hybrid work as an integral part of our culture. Associates get the benefit of working both virtually and in our offices. If you’re in a commutable distance (90 minutes) you’ll join us 3 days each week in our offices to collaborate and build relationships.

Our policy allows flexibility for the reality of business and personal schedules.

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