Full Stack Software Engineer (AWS Certification Required)

About the role

You will be joining a critical mission supporting our customers' big data processing platforms. The analytics developed and deployed in these ecosystems are critical to ensuring that the data flowing through the agency can be leveraged by analysts to perform mission critical reporting and decision making. You will be working with the newest technology and methodologies for processing mass amounts of data and distilling them into actionable results.

Responsibilities

• Design, implement, and optimize infrastructure to support AI model inference at scale
• Support the development and ongoing maintenance of production AI services and applications, including retrieval augmented generation (RAG), autonomous agents, and emerging technologies
• Navigate ambiguous and evolving requirements to define scalable, well-structured technical solutions
• Drive adoption of new technologies, tools, and best practices across engineering teams
• Implement and maintain monitoring, logging, and observability solutions for AI services
• Automate infrastructure provisioning and configuration using Infrastructure as Code (IaC) principles
• Ensure the availability, reliability, performance, and scalability of AI platform components
• Contribute to and uphold security best practices for AI systems and data
• Provide technical guidance and informal mentorship to junior engineers

Requirements

• Proven experience building and maintaining production systems at scale
• Bachelor's degree in a technical discipline (or equivalent experience)
• Additional 2 years of experience may substitute degree
• 6 years of experience in software development
• One of the following certifications: AWS Certified Developer, AWS Certified Machine Learning, AWS Certified Machine Learning - Specialty, AWS DevOps Engineer Professional, Certified Kubernetes Application Developer (CKAD)
• Strong background in systems integration across diverse technologies and platforms
• Hands-on experience with cloud engineering, preferably AWS
• Proficiency with Kubernetes administration and common deployment patterns
• Strong Python programming skills
• Experience implementing observability solutions such as APM, OpenTelemetry, Grafana, and Prometheus
• Familiarity with CI/CD pipelines and modern DevOps practices
• Demonstrated ability to drive change and influence across teams or organizations
• Excellent communication and collaboration skills

Benefits

• Competitive 15% retirement contribution!
• 4 weeks paid time off that is never “use or lose”, 12 paid holidays, comp time, overtime, AND flexible work hours
• 80 hours of paid parental leave with an additional $8,000 supplemental payment upon returning from maternity
• Medical, dental, & vision benefits for both individuals and families (those who waive medical benefits will receive an additional $4,160/year)
• Annual lifestyle bonus of $600 – use it towards gyms/fitness, new tech, or your HSA!
• Annual merit increases & performance-based bonuses
• Term life insurance, short-term disability, & long-term disability

Pay

$135,000 - $206,000

Schedule

Flexible work hours