Platform Automation Engineer

Jobtailor; Maryland; On-site; USD 120,000 - 180,000; Full time

Job summary

Jobtailor is seeking a senior DevOps/platform engineer to own CI/CD pipelines for ETL and data platforms on AWS. You will manage cloud infrastructure with CloudFormation, MWAA, and AWS services, embedding security gates and automating data workflows.

Responsibilities include release management, incident response, and cost/performance optimization, with a focus on Zero Trust and secure software supply chains in regulated contexts.

Qualifications

• Bachelor's degree in a technical field or 4 additional years of related experience.
• 8+ years in DevOps/platform engineering or similar roles.
• Hands-on with AWS cloud environments and services listed in requirements.
• Experience delivering CI/CD pipelines in regulated environments.
• Proficiency with Infrastructure-as-Code and serverless patterns.
• Strong Python and Linux scripting.
• Ability to operate under Zero Trust and secure software supply chain guidance.

Responsibilities

• Implement and administer CI/CD pipelines for ETL and data platform deliverables.
• Manage cloud infrastructure using IaC and Immutable Architecture across dev/staging/production.
• Embed quality and security gates at CI/CD decision points and remediate vulnerabilities.
• Automate data retrieval and ingestion jobs with MWAA, Glue, Lambda, EventBridge, Step Functions, SNS, SQS.
• Support release management, Change Requests, documentation, rollback procedures, and project closeout.
• Maintain operations with monitoring, logging, alerting, and compliance with ATO/NIST 800-53.
• Optimize cloud costs and performance; support disaster recovery and pre-prod data loads.
• Provide on-call support and post-incident remediation as part of a rotation.
• Leverage AI tools to improve automation while ensuring security and performance.

Skills

CI/CD

AWS Cloud Administration

Infrastructure as Code

Python

Linux/Bash

Zero Trust

Secure Software Supply Chain

OWASP ASVS 4.0

Security Auditing

Documentation

Education

Bachelor's degree in Computer Science or related field

4+ years alternative experience in lieu of degree

Tools

GitHub

AWS Service Catalog

MWAA / Apache Airflow

CloudFormation

AWS Lambda

AWS S3

AWS EC2

AWS Glue

AWS EMR

EventBridge

Step Functions

SNS

SQS

CloudWatch

Job description

• 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).

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.

Core Competencies

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.

Highest-signal resume keywords

• CI/CD Pipeline Implementation


• AWS Cloud Administration


• Infrastructure-as-Code (CloudFormation)


• Python and Linux/Bash Scripting


• Security Controls Implementation

ATS Optimization Keywords

Hard Skills

• CI/CD Pipeline


• AWS Glue


• AWS Lambda


• AWS S3


• AWS EC2


• AWS EMR


• Amazon Managed Workflows for Apache Airflow (MWAA)


• CloudFormation


• Python


• Linux/Bash Scripting

Soft Skills

• Investigative Skills


• Root‑Cause Analysis


• Documentation Skills


• Communication Skills

Industry Keywords

• DevOps


• Platform Engineering


• Zero Trust Principles


• Secure Software Supply Chain


• FISMA


• NIST 800-53


• OWASP ASVS 4.0

Tools & Technologies

• GitHub


• AWS Service Catalog


• EventBridge


• Step Functions


• SNS


• SQS


• CloudWatch