Full-Time

Cloud Engineer Subject Matter Expert

Ignite IT

Ignite IT

No salary listed

Suitland-Silver Hill, MD, USA

Hybrid

Bachelor's

Category
DevOps & Infrastructure (1)
Required Skills
Python
SAS
Software Testing
Postgres
Docker
CloudFormation
AWS
Cryptography
Terraform
DevOps
Serverless
Requirements
  • A Bachelor's degree in Computer Science, Engineering, or a related field is required.
  • At least 8 years of professional experience in cloud engineering is required.
  • Advanced Python expertise for cloud-native applications and automation is required.
  • Demonstrated experience performing legacy system analysis and cloud readiness assessments is required.
  • Experience contributing to migration plans using structured frameworks, including the 7 Rs, is required.
  • Strong AWS expertise across compute, networking, storage, database, identity, and monitoring services is required.
  • Experience implementing Infrastructure-as-Code is required.
  • Experience implementing CI/CD pipelines and automated testing is required.
  • Strong troubleshooting, performance optimization, and systems integration skills are required.
Responsibilities
  • Participate in structured discovery efforts across legacy systems.
  • Analyze application architectures, infrastructure dependencies, batch schedules, data flows, and integration points.
  • Contribute to formal system inventory documentation.
  • Identify cloud readiness gaps and modernization constraints.
  • Support classification of systems using the 7 Rs migration framework.
  • Provide technical input into phased migration roadmaps and sequencing plans.
  • Assess operational risk, integration complexity, and environment dependencies during modernization planning.
  • Document current-state technical architecture and assist in defining target-state environment patterns.
  • Design and implement AWS cloud environments aligned to enterprise provisioning constraints.
  • Develop and maintain Infrastructure-as-Code using Terraform or CloudFormation.
  • Establish repeatable environment patterns for development, testing, staging, and production.
  • Implement secure network architecture, including VPC segmentation, IAM least privilege, and encryption.
  • Design for high availability, resiliency, and disaster recovery.
  • Align environment provisioning with migration waves and modernization sequencing.
  • Develop and maintain Python-based cloud components, including serverless functions, orchestration utilities, data validation and transformation scripts, and automation tooling.
  • Write production-quality Python code with testability, logging, secure coding practices, and modular design.
  • Review and support Python refactoring patterns during legacy modernization.
  • Ensure Python runtime environments are reproducible and aligned with CI/CD standards.
  • Implement scalable AWS compute solutions using Lambda, ECS, EKS, Fargate, Glue, Aurora/PostgreSQL, S3, and Batch.
  • Evaluate serverless and containerized approaches based on workload characteristics.
  • Support refactoring efforts by providing optimized cloud runtime patterns.
  • Improve performance, scalability, and observability for data-intensive workloads.
  • Design and implement CI/CD pipelines integrating automated builds, unit and integration tests, regression validation, and security scanning.
  • Embed quality and compliance gates into pipelines.
  • Automate environment provisioning and deployments.
  • Ensure version-controlled infrastructure and reproducible deployments.
  • Implement monitoring, logging, and alerting standards.
  • Establish performance baselines and capacity thresholds.
  • Support load testing and scalability validation.
  • Document operational runbooks for sustained support.
  • Support integration across multiple interdependent systems.
  • Assist in identifying and mitigating interface risks.
  • Collaborate with data engineering teams on schema stability and data lifecycle controls.
  • Ensure consistency in cloud patterns across teams.
  • Contribute to architecture and environment documentation required for governance reviews.
  • Support ATO readiness and audit artifact collection.
  • Align cloud implementation with security and compliance requirements.
  • Maintain traceable, auditable deployment documentation.
Desired Qualifications
  • Experience supporting data-intensive or statistical processing systems.
  • Experience supporting SAS-to-Python modernization efforts.
  • AWS Certified Solutions Architect certification.
  • Experience in regulated or governance-heavy environments.
  • Experience working within enterprise data lake ecosystems.

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