Senior Software Engineer (Active Secret Clearance)
About The Position
Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective. With Striveworks, organizations aren’t just deploying AI—they’re building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they’re deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands, increasing reliability and performance while lowering costs—and enabling confident, data-driven decision-making in dynamic environments. As a Senior Software Engineer at Striveworks, you’ll be challenged—and trusted—on day one to be a core contributor to the products and direction of the company. Our flagship product, Chariot, is used by customers to develop, deploy, and maintain production machine learning models. We’re looking for exemplary engineers with a product mindset who can write quality code in Go and Python—and who ultimately want to be core contributors to the direction of the company. You’re right for this challenge if you value and possess technical expertise and you push the boundaries of your own capabilities. You are outcome driven, not requirements driven. We’re looking for people who are excited about our central development themes: Everything as Code, Cloud-neutral development, User-centric design, Hexagonal, event-driven, microservice architecture, Optimizing, deploying, and refining AI models and algorithms. As a Senior Machine Learning Engineer at Striveworks, you’ll be challenged—and trusted—on day one to be a core contributor to both the customer-driven projects and the enduring products of the company. You will be a key Striveworks representative and technology builder on projects and solutions that leverage Chariot, our proprietary AI operations (AIOps) platform, and you will inform and contribute to future capabilities of that platform. You will inform, envision, and help extend Striveworks’ core software products. You will work alongside data scientists, software engineers, and DevOps engineers to transform machine learning models into operational capabilities. You’re right for this opportunity if you value and possess technical expertise and enjoy pushing the boundaries of your own capabilities. You’re outcome-driven and are passionate about applying both software engineering and data science to solve real-world problems. You know that building customer-centric solutions, communicating clearly, and capturing repeatable value into productized capabilities are all critical to success. Your day-to-day will include: Working with customers, engineers, and other stakeholders to define clear requirements that solve customers’ problems and leverage the capabilities of our AIOps platform, Developing machine learning models and custom analytics that are applied to image, video, text, geospatial, time series, and structured data, Orchestrating and automating complex data engineering and analytic pipelines, Envisioning, specifying, and, at times, designing and implementing core product functionality, Opportunities to conduct mission-critical field work.
Requirements
- 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 tooling: 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
- Driven, self-directed personality
- Strong sense of mission and commitment to making a difference
- Bachelor’s degree in computer science or a related field, or similar experience
- Active Secret (or above) US security clearance
- US citizenship
Nice To Haves
- Active TS/SCI security clearance
- Understanding of synchronous/asynchronous programming and concurrency
- Comfort with integration of deep learning libraries (e.g., PyTorch, TensorFlow)
- Experience designing RESTful, gRPC, or GraphQL APIs
- Understanding of networked and distributed computing
- Knowledge of messaging systems (e.g., NATS, Kafka, RabbitMQ)
- Experience with workflow automation
Responsibilities
- Be a core contributor to the products and direction of the company.
- Write quality code in Go and Python.
- Be a core contributor to the direction of the company.
- Work with customers, engineers, and other stakeholders to define clear requirements that solve customers’ problems and leverage the capabilities of our AIOps platform.
- Develop machine learning models and custom analytics that are applied to image, video, text, geospatial, time series, and structured data.
- Orchestrate and automate complex data engineering and analytic pipelines.
- Envision, specify, and, at times, design and implement core product functionality.
- Conduct mission-critical field work.
- Be a key Striveworks representative and technology builder on projects and solutions that leverage Chariot, our proprietary AI operations (AIOps) platform.
- Inform and contribute to future capabilities of the Chariot platform.
- Inform, envision, and help extend Striveworks’ core software products.
- Work alongside data scientists, software engineers, and DevOps engineers to transform machine learning models into operational capabilities.
- Build customer-centric solutions.
- Communicate clearly.
- Capture repeatable value into productized capabilities.
- Share knowledge, mentor, and coach (i.e., onboarding, code reviews, leading junior engineers).
Benefits
- 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
- Equity grants
- Cash bonuses
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Associate degree
