LensaLensa is a career site that helps job seekers find great jobs in the US. We are not a staffing firm or agency. Lensa does not hire directly for these jobs, but promotes jobs on LinkedIn on behalf of its direct clients, recruitment ad agencies, and marketing partners.
Lensa partners with DirectEmployers to promote this job for Insight Global. Clicking "Apply Now" or "Read more" on Lensa redirects you to the job board/employer site. Any information collected there is subject to their terms and privacy notice.
Our client is looking for a Full Stack Software Engineer to support the Developer Efficiency Platform team. This person will help evolve the core systems that developers depend on every day. You'll join a team responsible for designing and scaling platforms that streamline service development, deployment, and developer workflows — with opportunities to enhance these systems using AI-driven tools and practices.
This role blends proven engineering practices with forward-looking approaches in intelligent automation and data-driven insights. You'll collaborate closely with project managers and cross-functional teams to translate clear requirements into production systems that are performant, resilient, and continually improving.
Design, build, and optimize scalable backend services and APIs in Java and Python to support developer efficiency workflows
Collaborate with project managers to gather requirements and translate them into technical solutions that improve developer productivity
Develop and maintain large-scale systems that enable hundreds of developers to build, test, and deploy services efficiently
Integrate AI-driven tools and capabilities into production systems to automate workflows, provide intelligent insights, and enhance developer experience
Build and maintain containerized services using Kubernetes for reliable deployment and orchestration
Evolve platform architectures for reliability, maintainability, and performance at scale
Write clean, maintainable, and well-tested code that upholds high standard of engineering excellence.
Participate in code reviews, architectural discussions, and production troubleshooting, sharing knowledge and elevating quality across the team.
Contribute to CI/CD pipelines and infrastructure automation to enable rapid, safe deployments.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day.
We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.
If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:
4+ years of industry experience building backend systems.
Strong programming skills in React and Typescript
Exposure to AI and how to interact with models (prompt engineering/agent skills)
Hands-on experience with Kubernetes for container orchestration and deployment.
Familiarity with utilizing and developing AI-driven tools to improve workflows and productivity.
Knowledge of algorithms, data structures, and distributed systems principles.
Experience with databases (relational and/or NoSQL) and scalable service architectures.
Excellent communication skills and a collaborative mindset.
BS, MS or PhD in Computer Science/Engineering
Familiarity with AI/ML frameworks (e.g., PyTorch, TensorFlow) and LLM libraries (e.g., LangChain, Hugging Face).
AI Tooling Development using Python
Background in integrating AI systems into developer tools or productivity platforms.
Experience with cloud infrastructure, containerization, and CI/CD pipelines.
Experience with messaging systems (e.g., Kafka) and microservices architectures.
Passion for developer experience and empathy for building tools that empower other engineers.
If you have questions about this posting, please contact
Mid-Senior level
Full-time
¿Te interesa este puesto?