Location
Remote
Salary
Not specified
Type
fulltime
Posted
Today
Job Description
FM Talent Source is an enterprise that provides business and workforce solutions to help organizations nationwide overcome business challenges. Our clients include federal, state and local government agencies, Fortune 500 Companies, and non-profit organizations. Founded in 2004, we have a strong history of providing recruitment strategies and utilizing effective project and quality management methodologies to ensure our clients success.
We are seeking one Cloud Infrastructure \& Automation Engineer for a full-time contract opportunity with FM Talent Source for one of our valued clients.
JOB DESCRIPTION
Seeking a highly capable
Cloud Infrastructure \& Automation Engineer
to support and secure large-scale infrastructure, cloud, and platform operations across
federal environments
. You will be responsible for deploying, managing, and optimizing
AWS and hybrid infrastructure
, with a strong emphasis on
automation, security, compliance, and mission continuity
for critical workloads.
This role is ideal for someone who is hands-on, outcomes-driven, and comfortable collaborating across engineering, security, networking, and data teams to deliver stable, secure, and scalable infrastructure in regulated environments.
Cloud Infrastructure \& Automation (AWS / IaC)
- Automate provisioning and lifecycle management of AWS services—including
identity, compute, storage, backups, networking, logging, and monitoring
—using
Terraform
or similar Infrastructure as Code (IaC) tools.
- Deploy, configure, harden, and maintain infrastructure across
AWS and hybrid environments
following secure baseline standards.
- Standardize reusable IaC modules, promote best practices, and improve environment consistency across dev/test/prod.
DevOps Enablement \& Operational Excellence
- Build and enhance
CI/CD pipelines
and modern DevOps workflows using tools such as
Git, Terraform, Jenkins, AWS CodePipeline, and Docker
.
- Troubleshoot and resolve infrastructure and automation issues to ensure
reliability, performance, and mission continuity
.
- Implement operational visibility with logging/monitoring improvements and actionable dashboards (as applicable to your environment).
Security, Compliance, and Resilience
- Apply cybersecurity best practices and support
zero-trust
and compliance-aligned infrastructure operations (e.g.,
NIST, CIS, ISO 27000
).
- Collaborate with security and networking teams to implement secure configurations, change controls, and audit-ready operational processes.
- Support
business continuity
and
disaster recovery (DR)
requirements and operational readiness.
Cross-Team Collaboration \& Documentation
- Work closely with engineering, security, networking, and application teams to support mission needs and delivery timelines.
- Partner with data engineers and scientists to enable infrastructure needs for
data pipelines
and
machine learning workflows
.
- Maintain high-quality engineering documentation including
SOPs
, system diagrams, and secure configuration baselines.
- Summarize and present findings and recommendations—both written and verbal—to technical and non-technical stakeholders.
QUALIFICATIONS
- Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred.
- Bachelor’s degree in Engineering, IT, Computer Science, or related field (or equivalent experience).
- Minimum SIX (6) years of hands-on experience in
AWS
, cloud infrastructure, and/or enterprise IT operations.
- Strong hands-on expertise with
Terraform
for AWS infrastructure automation.
- Experience building and operating
CI/CD pipelines
and DevOps practices with tools such as Git, Terraform, Jenkins, AWS CodePipeline, Docker.
- Strong scripting skills in
Python
and
Bash
.
- Working knowledge of cybersecurity best practices,
zero-trust concepts
, and compliance frameworks such as
NIST, CIS, ISO 27000
.
- Experience using
AI-assisted coding tools
(e.g.,
GitHub Copilot, ChatGPT, Cursor, Kiro
) to accelerate delivery while maintaining strict quality via testing, reviews, and security practices.
- Self-starter mindset with the ability to work independently and collaboratively across Engineering, DevOps, and Architecture functions.
- Eligibility for Public Trust
and ability to complete federal background screening.
PREFERRED EXPERIENCE
- AWS Certified DevOps Engineer – Professional (or equivalent).
- CompTIA Security\+.
- Experience provisioning and implementing data pipelines for lakehouse platforms such as
Databricks
or AWS services including
S3, Lake Formation, Glue, and Athena
.
- Ability to design and optimize AWS data solutions, including
migration pipelines, ETL workflows, and serverless architectures
.
- Experience with monitoring and SIEM tools such as
CloudWatch
and
Splunk
.
- Experience supporting enterprise
business continuity
and
disaster recovery (DR)
solutions.
Compensation Range:
The salary range provided is determined by market value, internal equity, and the candidate's experience and qualifications. Offers will be extended within this range, though not all candidates will receive an offer at the upper limit.
Looking for more opportunities?
Browse thousands of graduate jobs and entry-level positions.