AWS DevOps Engineer (Hybrid)

Securian Financial Group; United States; Hybrid; USD 110,000 - 150,000; Full time

Job summary

Securian Financial Group is seeking an AWS DevOps Engineer to design, build, and maintain cloud infrastructure for data and analytics workloads. The role requires hands-on AWS and IaC experience, collaboration with data teams, and strong security practices.

The position emphasizes ownership of infrastructure components, automation, and cross-team partnership to deliver scalable, secure solutions.

Qualifications

• 2-5 years of experience in cloud infrastructure engineering, with a focus on AWS.
• Experience with RDS Postgres, S3; proficiency in IaC tools like Terraform, CloudFormation, or AWS CDK.
• Experience with AWS data/analytics services (Glue, Redshift) and DevOps tooling (Git, CI/CD, Docker).
• Basic scripting in Python, Bash, or PowerShell; understanding of cloud networking, security, and cost optimization.

Responsibilities

• Champion the selection of Data and Analytics platforms and tools across the enterprise.
• Engage with users/vendors to validate POCs and new solutions.
• Onboard new platforms/tools to drive adoption across the organization.
• Collaborate with Data Engineering/DS teams to close tooling gaps and implement solutions.
• Build and maintain AWS infrastructure using IaC (Terraform/CloudFormation).
• Configure core AWS services (EC2, S3, IAM, RDS, Lambda, Glue, Redshift, VPC).
• Support data pipelines by provisioning and optimizing cloud resources.
• Implement monitoring, logging, and alerting with CloudWatch; participate in CI/CD deployments.
• Ensure infrastructure security via IAM, encryption, and network configurations.

Skills

AWS

CI/CD

Python

Linux

Git

Tools

Terraform

CloudFormation

AWS CDK

GitHub

Docker

Job description

Position Summary

Securian Financial Group’s internal position title for this role is Engineering Consultant. 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 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.

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, 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.

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: SageMaker, AWS Bedrock, Textract, etc. for AI development, MLflow for model lifecycle management Experience working in agile or cross-functional teams.

Location & Working 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