Infrastructure Engineer – TS/SCI

Xcelerate Solutions; Bethesda (MD); Hybrid; USD 90,000 - 120,000; Full time

Job summary

Xcelerate Solutions is seeking an Infrastructure Engineer for its DOMEX Technology Platform. This role involves deploying cloud initiatives and automating tasks using Python while ensuring security best practices. Candidates must have a strong background in AWS and experience with Kubernetes.

Located in Bethesda, Maryland, the position offers a hybrid remote working arrangement. A Bachelor’s degree and relevant certifications are strongly preferred for applicants.

Qualifications

• Active TS/SCI security clearance with the ability to obtain and maintain a Polygraph.
• Experience deploying, managing, and troubleshooting production Kubernetes clusters.
• Experience with Infrastructure as Code tools such as AWS CDK or CloudFormation.

Responsibilities

• Deploy and debug cloud initiatives as needed throughout the development lifecycle.
• Apply security best practices implementing DISA hardening guidelines.
• Utilize Python programming to automate cloud deployments and operational tasks.
• Design and implement cloud-based platforms throughout the program.

Skills

Python programming

AWS cloud environments

Kubernetes

Linux system administration

Infrastructure as Code

Education

Bachelor’s degree in Computer Science or related field

Master’s degree in Computer Science or related field

Tools

AWS CLI

Ansible

Salt

Helm

Prometheus

Job description

Information Technology Careers

Hybrid Remote, Bethesda, Maryland

Xcelerate Solutions is currently seeking an Infrastructure Engineer to play a critical role on the DOMEX Technology Platform (DTP) Program where we support our client’s mission to centralize and standardize Tasking, Collection, Processing, Exploitation and Dissemination (TCPED) of Open Source Intelligence (OSINT) across the DoD and IC enterprise. We integrate off‑the‑shelf and newly development software to sustain and enhance the TCPED platform. We leverage cloud‑based computing, artificial intelligence (Al), machine learning (ML) and cross‑domain transfer systems to provide cutting‑edge data exploitation, enrichment, triage, and analytics capabilities to Defense and Intelligence Community members. DTP advances the state of the art in mission‑focused big data analytics tools and micro‑service development spanning the breadth of Agile sprints to multiyear research and development cycles.

Responsibilities

• Deploying and debugging cloud initiatives as needed in accordance with best practices throughout the development lifecycle.
• Applying security best practices by implementing DISA hardening guidelines (such as STIGs) across cloud infrastructure and operating systems.
• Utilizing Python programming to automate cloud deployments, infrastructure configuration, and daily operational tasks.
• Employing exceptional problem‑solving skills.
• Building and designing web services in the cloud.
• Designing and implementing cloud‑based platforms throughout the program.
• Coordinating with DTP team to prioritize product backlogs for sprints and releases.
• Assisting with monitoring & reporting technical variances; facilitate resolution of technical issues that adversely impact successful product delivery or total system cost.
• Assisting with identifying and supporting external dependencies where needed.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience) with 8+ years of relevant experience; Master’s degree with 6+ years of experience.
• Active TS/SCI security clearance with the ability to obtain and maintain a Polygraph.
• Current DoD 8570.01M IAT Level II (or higher) certification, such as Security+, CySA+, SSCP, CCNA Security, or CISSP (or Associate).
• Ability to obtain Privileged User Account (PUA) certification.
• Experience administering AWS cloud environments, including EC2, Load Balancers, S3, EFS, VPCs, and AWS CLI.
• Experience with Kubernetes and container platforms such as EKS, Rancher, or RKE2.
• Strong knowledge of Linux system administration.
• Experience implementing security best practices, including DISA STIGs and Kubernetes security controls (RBAC, service accounts, and resource security).
• Proficiency in Python and scripting for automation and operational tooling (UNIX shell, Perl, or similar).
• Experience deploying, managing, and troubleshooting production Kubernetes clusters and containerized applications.
• Familiarity with Kubernetes tools and technologies including Helm, Argo CD, Prometheus, Grafana, ELK/EFK, Ingress controllers, Network Policies, and service mesh solutions.
• Experience with Infrastructure as Code (IaC) tools such as AWS CDK or CloudFormation.
• Experience with configuration management tools such as Salt or Ansible.
• Knowledge of REST APIs, web services, networking, and internet protocols.
• Experience working with open‑source technologies and modern infrastructure platforms.
• Strong written and verbal communication skills.
• Ability to collaborate effectively with customers, engineers, architects, and cross‑functional teams.
• Comfortable working in a fast‑paced environment with team members from diverse technical backgrounds.

Preferred Qualifications

• AWS cloud certifications.
• Experience with micro‑services architecture.
• Experience and domain knowledge related to data processing.
• Experience with big data applications.
• Experience supporting DIA, NDOC, and/or D3P.

Xcelerate Solutions is an Equal Employment Opportunity/Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, age, equal pay, disability, veteran status, sex, sexual orientation, gender identity, genetic information, or expression of another protected characteristic. As part of this commitment to the full inclusion of all qualified individuals, Xcelerate provides reasonable accommodations if needed because of an applicant's or an employee's disability.

Pay Transparency Notice: Xcelerate Solutions will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant.