Platform Automation Engineer

• Implement and administer CI/CD pipelines for all ETL and data platform deliverables using Cloud Formation templates, Git Hub-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, Event Bridge, 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).

• 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 Dev Ops, 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, Event Bridge, Step Functions, and Cloud Watch.
• Experience building CI/CD pipelines and delivering safe releases at a rapid rate using Git Hub (or similar) in federal or otherwise regulated environments.
• Proven experience with Infrastructure-as-Code (Cloud Formation 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.

Demonstrates expertise in implementing and managing CI/CD pipelines, cloud infrastructure, and security controls within AWS environments. Proficient in Infrastructure-as-Code methodologies and automation tools to optimize performance and ensure compliance with regulatory standards.

• CI/CD Pipeline Implementation
• AWS Cloud Administration
• Infrastructure-as-Code (Cloud Formation)
• Python and Linux/Bash Scripting
• Security Controls Implementation

• CI/CD Pipeline
• AWS Glue
• AWS Lambda
• AWS S3
• AWS EC2
• AWS EMR
• Amazon Managed Workflows for Apache Airflow (MWAA)
• Cloud Formation
• Python
• Linux/Bash Scripting

• Investigative Skills
• Root‑Cause Analysis
• Documentation Skills
• Communication Skills

• Dev Ops
• Platform Engineering
• Zero Trust Principles
• Secure Software Supply Chain
• FISMA
• NIST 800-53
• OWASP ASVS 4.0

• Git Hub
• AWS Service Catalog
• Event Bridge
• Step Functions
• SNS
• SQS
• Cloud Watch