Senior Software Engineer (Active TS/SCI Clearance)

Since 2018, we have delivered the most trusted AI systems operating in real-world use cases—providing a layer of assurance underneath hundreds of deployed models that monitors performance, manages drift, and sustains systems long after they leave the lab. As a Senior Software Engineer, you will be a core contributor to the direction of the company.

Responsibilities

Be a core contributor to the direction of the company; Write quality code in Go and Python; Work on development themes: Everything as Code, cloud-neutral development, user-centric design, hexagonal event-driven microservices architecture, optimizing/deploying/refining AI models and algorithms

Requirements

A bachelor’s degree in computer science or related field, or similar experience; 6–8 years of hands-on development experience; Excellence in Go, C++ (17 or higher), Java (11 or higher), C# (9 or higher), or Rust; Proficiency in Python; Experience with DevOps technologies: CI/CD tools, Git, Docker, Kubernetes; Proven experience with cloud architecture: commercial cloud, OpenStack; Experience in the design and development of performant, scalable services; Familiarity with database design and architecture: relational and non-relational; Ability to work cross-functionally and participate in or lead design discussions; Ability to independently lead the software development life cycle, from collaborating with product teams on requirements to executing technical design, implementation, and deployment; Experience in knowledge sharing, mentoring, and coaching (i.e., onboarding, code reviews, leading junior engineers); Strong understanding of software development principles, such as object-oriented programming, design patterns, documentation, and agile methodologies; Active TS/SCI security clearance and US citizenship, as well as eligibility and willingness to undergo a Counterintelligence (CI) Scope Polygraph if required

Nice to have

Understanding of synchronous/asynchronous programming and concurrency; Comfort with integrating deep learning libraries (e.g., PyTorch, TensorFlow); Experience designing RESTful, gRPC, and/or GraphQL APIs; Understanding of networked and distributed computing; Knowledge of messaging systems (e.g., NATS, Kafka, RabbitMQ); Experience with workflow automation

Benefits

Equity grants; Cash bonuses; Medical/dental/vision insurance; Voluntary life, long-term disability, accident, and hospital indemnity insurance; HSA and FSA (including dependent care FSA) plans; 401(k) plan; Unlimited PTO; Paid parental leave