Platform Automation Engineer

eSimplicity•Columbia, MD

4d•$106,300 - $136,400•Hybrid

About The Position

ESimplicity is seeking a skilled Platform Automation Engineer to support a federal financial regulatory agency's enterprise data engineering program. In this role, you will build and maintain the CI/CD pipelines, Infrastructure-as-Code, and deployment automation that power a large-scale, AWS-based Enterprise Data Platform (EDP) supporting mission-critical financial datasets used for regulatory examinations, enforcement, analytics, and policymaking. You will enable frequent, secure, single-command releases across a growing portfolio of automated production data pipelines while advancing Zero Trust security principles and modern DevSecOps practices. Successful candidates will be eligible to hold a U.S. Federal Public Trust security clearance (Moderate Risk). This position is contingent upon contract award.

Requirements

Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical discipline. OR; In lieu of a degree, four additional years of related experience is required.
Minimum of 8 years of professional experience in DevOps, platform engineering, or a related role.
Hands-on experience administering and securing AWS cloud environments, including services such as Glue, Lambda, S3, EC2, EMR, MWAA/Airflow, SNS, SQS, EventBridge, Step Functions, and CloudWatch.
Experience building CI/CD pipelines and delivering safe releases at a rapid rate using GitHub (or similar) in federal or otherwise regulated environments.
Proven experience with Infrastructure-as-Code (CloudFormation preferred) and serverless computing patterns.
Proficiency with Python and Linux/Bash scripting.
Experience implementing security controls aligned with Zero Trust principles and secure software supply chain practices (e.g., OMB M-22-09, M-22-18).
Excellent investigative and root-cause analysis skills for complex cloud problems; strong documentation and communication skills.
Ability to obtain and maintain a Moderate Risk Public Trust clearance; residing in the United States.

Nice To Haves

Experience supporting the full federal ATO and/or SDLC process and FedRAMP-authorized AWS offerings.
Experience supporting big data platforms (Spark, EMR, Iceberg) and containerized workloads.
Experience with Atlassian Jira/Confluence or GitHub Projects.
Experience using AI and generative AI development tools for code generation, debugging, and performance tuning.
Familiarity with federal compliance requirements including Section 508 of the Rehabilitation Act and the Privacy Act of 1974.
Prior experience with federal financial regulatory agencies.

Responsibilities

Implement and administer CI/CD pipelines for all ETL and data platform deliverables using CloudFormation templates, GitHub-based version control, and AWS Service Catalog, enabling successful builds and deployments to staging and production with a single command.
Manage cloud-based infrastructure and services using approved Infrastructure-as-Code methodologies, Immutable Architecture principles, and reproducible deployment processes across development, staging, and production environments.
Embed quality and security gates into CI/CD decision points, including static code analysis, dependency analysis, and government-provided container analysis tools; support remediation of medium- and high-level static and dynamic vulnerabilities in alignment with OWASP ASVS 4.0, Level 2.
Automate orchestration and scheduling of data retrieval and ingestion jobs using Amazon Managed Workflows for Apache Airflow (MWAA), AWS Glue, Lambda, EventBridge, Step Functions, SNS, and SQS.
Support release management, including Change Requests to the Change Control Board, release documentation, deployment references, rollback procedures, and project closeout within contract timelines.
Ensure smooth operation of systems and infrastructure through monitoring, alerting, logging, preventative maintenance, and real-time remediation; keep production configurations consistent and controllable in support of ATO, FISMA, and NIST 800-53 compliance.
Optimize system performance and cloud resource utilization to reduce cloud costs and deliver efficiency gains across the technical stack.
Support disaster recovery exercises and actual events, ensuring production data loads continue as expected; provide pre-production deployment and data load support in lower environments.
Provide on-call and after-hours support for production outages and emergencies as part of a team rotation, with full production support processes, documentation, and monitoring/alerting solutions.
Leverage AI-assisted development tools to accelerate automation, improve code quality, and reduce operational burden while adhering to security and performance standards.
Work as part of an integrated agile team, participating in sprint planning, program increment planning, and backlog refinement; support team performance dashboards (velocity, burn-down, code coverage, backlog traceability).