Software Engineer (REMOTE)

What You’ll Do

As a Software Engineer on this team, you’ll build and maintain services that help train and evaluate AI coding models and power developer-facing tooling. You will collaborate with product, ML researchers, and other engineers to design scalable systems and deliver high-quality software.

• Design, implement, and operate backend services and APIs that process training data and serve model-driven features
• Build reliable data pipelines and ETL processes to collect, validate, and preprocess large datasets for model training
• Work with cloud platforms (AWS/GCP/Azure) to deploy scalable, secure infrastructure (containers, serverless, managed services)
• Optimize system performance, reliability, and cost for large-scale workloads
• Write and maintain thorough automated tests, CI/CD pipelines, and observability (metrics, logging, tracing)
• Collaborate with ML engineers to productionize model evaluation, A/B testing, and monitoring workflows
• Participate in design reviews, code reviews, and mentorship; contribute to technical roadmap and product decisions

What We’re Looking For (Minimum Qualifications)

• 3+ years of professional software development experience (backend or full-stack)
• Strong experience with at least one modern language used in production services (e.g., Python, Go, Java, or TypeScript/Node.js)
• Experience designing and building RESTful or gRPC APIs and distributed services
• Familiarity with cloud platforms (AWS/GCP/Azure) and infrastructure as code (Terraform, CloudFormation, etc.)
• Experience with data processing frameworks or building data pipelines (batch and/or streaming)
• Good software engineering practices: unit/integration testing, CI/CD, code reviews, and monitoring
• Strong debugging and performance analysis skills for production systems
• Effective written and verbal communication; ability to work in cross-functional teams

Preferred (Nice-to-Have)

• Experience working with ML workflows, model training pipelines, or feature stores
• Knowledge of container orchestration (Kubernetes) and service mesh patterns
• Experience with SQL and NoSQL systems (Postgres, BigQuery, DynamoDB, Redis, etc.)
• Familiarity with experiment tracking, model evaluation metrics, and A/B testing frameworks
• Background in developer tools, compilers, language servers, or code intelligence systems
• Prior contributions to open-source projects or published technical articles

Compensation & Benefits

Compensation is competitive and will be commensurate with experience and location. Our client’s benefits typically include health insurance, retirement savings options, paid time off, and professional development support. Exact benefits and total compensation will be shared during the interview process.

Location & Work Authorization

This is a remote role within the United States. Applicants must be legally authorized to work in the U.S. without sponsorship now or in the future unless the confidential client explicitly indicates otherwise in the job posting.

To comply with applicable state laws, the confidential client will not request salary history and will consider reasonable accommodation requests during the hiring process.

Equal Opportunity & Hiring Transparency

CareerTakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind.

To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.