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Senior Software Engineer AI, AWS, Kubernetes

Job in College Park, Prince George's County, Maryland, 20741, USA
Listing for: Akina, Inc
Full Time position
Listed on 2026-06-23
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Cloud Engineer - Software, DevOps
Salary/Wage Range or Industry Benchmark: 232000 - 283000 USD Yearly USD 232000.00 283000.00 YEAR
Job Description & How to Apply Below
Position: Senior Software Engineer 3 - (AI, AWS, Kubernetes)

Senior Software Engineer 3 – (AI, AWS, Kubernetes)

Clearance: TS/SCI with poly

Position
-24-016-SWE3

Location:

Annapolis Junction, Maryland

Job Description

Join us in building the next generation of AI infrastructure that will power innovation across the customer organization. We’re seeking a senior full‑stack software engineer to support our AI infrastructure team. In this role, you’ll lead the development and operation of critical AI platform components, with a focus on scalable inference services and the broader AI application ecosystem. This role includes project leadership responsibilities and people care for a small, integrated team within a larger AI platform organization.

Responsibilities
  • Design, implement, and optimize infrastructure for AI model inference at scale.
  • Lead the development and maintenance of production AI services and applications, including retrieval augmented generation (RAG), autonomous agents, and emerging technologies.
  • Serve as technical lead for AI infrastructure initiatives, coordinating work across integrated teams.
  • Conduct regular one‑on‑ones and provide coaching, feedback, and support for assigned team members.
  • Act as the team point of contact (POC) for contract administration functions.
  • Navigate ambiguity and define solutions for complex, under specified systems and requirements.
  • Establish new technical policies, standards, and governance frameworks where gaps exist.
  • Drive adoption of new technologies and practices across engineering teams.
  • Implement and oversee monitoring, logging, and observability solutions for AI services.
  • Ensure high availability, reliability, performance, and security of AI platform components.
  • Communicate effectively with stakeholders at multiple organizational levels.
Required Skills
  • Extensive experience designing, building, and operating large‑scale production systems.
  • Deep expertise in systems integration across diverse technologies and platforms.
  • Hands‑on experience with cloud engineering in AWS.
  • Advanced proficiency with Kubernetes administration and deployment patterns.
  • Strong Python programming skills.
  • Experience implementing and scaling observability solutions (APM, Open Telemetry, Grafana, Prometheus).
  • Proven ability to lead technical initiatives and influence organizational change.
  • Experience developing technical policies and governance frameworks.
  • Excellent communication, stakeholder management, and leadership skills.
  • Ability to balance hands‑on engineering with leadership and coordination responsibilities.
Nice to Haves
  • Experience with AI inference serving technologies (vLLM, LiteLLM, etc.).
  • Previous experience with agentic frameworks (Lang Chain).
  • Knowledge of vector databases and embedding systems.
  • Experience with high‑performance computing or distributed systems.
  • Track record of successfully driving technical and cultural change.
Qualifications

YOE Requirement: 12 years of experience, B.S. in a technical discipline or 4 additional years in place of B.S.

Salary Range

$232k – $283k (Annually). The range displayed above is a likely salary range for this position; this is not a guarantee of compensation.

Benefits
  • 24 days PTO accrued annually.
  • 11 federal holidays.
  • 401(k) fully vested on the start date with a direct contribution worth 10% of salary.
  • Health care costs fully covered for employees and 50% toward dependents.
  • Educational assistance toward college classes, and coverage of costs associated with job‑related training and certifications.
EEO Statement

We are an equal employment opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

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Position Requirements
10+ Years work experience
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