Junior AWS Software Engineer
The Junior AWS Software Engineer will deploy and maintain cloud infrastructure supporting AI capabilities using AWS and Kubernetes. This role involves building CI/CD pipelines, managing infrastructure-as-code, monitoring production services, ensuring security compliance, and collaborating with engineering teams to support and troubleshoot production infrastructure. The position requires a security clearance and offers a hybrid work environment with full-time employment.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Technology, Information and Internet.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
What You’ll Do
Confidential Client is hiring a Junior AWS Software Engineer to help deploy and maintain cloud infrastructure that supports AI-enabled services. You will work with the engineering and operations teams to build repeatable, secure deployments and keep production systems healthy.
- Deploy and maintain AWS-based infrastructure and Kubernetes clusters to support AI workloads
- Build and maintain CI/CD pipelines and infrastructure-as-code for repeatable, reliable deployments
- Configure observability tooling (metrics, logs, tracing) and respond to alerts to maintain service health
- Implement certificate management and follow security best practices to protect systems and data
- Collaborate with application engineering teams to provision and configure infrastructure for dependent services
- Diagnose and resolve production infrastructure and deployment issues
Minimum Qualifications
- Technical bachelor’s degree or equivalent experience
- 3+ years of relevant experience with cloud infrastructure or DevOps
- Hands-on experience with AWS and Kubernetes
- Familiarity with CI/CD tools and infrastructure-as-code (e.g., Terraform, CloudFormation)
- Strong troubleshooting and scripting skills (bash, Python, or similar)
- Active Top Secret/SCI with Full Scope Polygraph security clearance (required)
- Ability to work in a hybrid environment and report to the Glen Burnie, MD area as needed
Nice-to-Have
- Experience supporting AI/ML infrastructure and GPU-enabled workloads
- Experience with observability platforms (Prometheus, Grafana, Datadog, etc.)
- Experience automating certificate lifecycle and secrets management
- Familiarity with container security best practices
Compensation & Employment Details
- Employment type: Full-time
- Work mode: Hybrid (on-site presence required per client policies)
- Total Compensation: $212,000+ yearly (base compensation consistent with source posting)
- Location: Glen Burnie, MD (local candidates preferred due to hybrid requirements)
- Confidential Client provides standard benefits per their company policy (healthcare, retirement, PTO). Specific benefit details will be provided to candidates during the process.
Additional Information & Candidate Protections
Careertakes and Confidential Client are committed to compliant, non-discriminatory hiring. Reasonable accommodations are available for applicants with disabilities; please notify us if you need assistance during the interview or hiring process.
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
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