Lead Software Engineer

Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!

• 8+ years of experience in software engineering, with a strong focus on application security, cloud security, and distributed systems.
• Strong programming expertise in Java, Spring Boot, and modern software design principles, including object-oriented design, design patterns, and microservices architecture.
• Extensive experience with databases and data platforms such as Oracle, Cassandra, Elasticsearch, and other large-scale data stores.
• Hands-on experience designing and building scalable APIs, backend services, platforms, and proof-of-concepts (PoCs) from ideation through production deployment.
• Strong experience with cloud-native technologies, including Kubernetes, Docker, CI/CD pipelines, and public cloud platforms (AWS, Azure, or GCP).
• Hands-on experience with event-driven architectures and messaging technologies such as Kafka.
• Experience leading technical design discussions, driving architectural decisions, and mentoring engineering teams.
• Strong understanding of AI/ML concepts, Generative AI, Large Language Models (LLMs), AI Agents, Prompt Engineering, Retrieval-Augmented Generation (RAG), and AI-powered application development.
• Experience integrating AI services and frameworks such as OpenAI, Azure OpenAI, LangChain, Semantic Kernel, Vector Databases, and Agentic AI platforms.
• Familiarity with AI-assisted software development tools such as GitHub Copilot, Microsoft Copilot, ChatGPT, or equivalent technologies to improve engineering productivity and code quality.
• Strong troubleshooting, performance tuning, and debugging skills with the ability to resolve complex production issues across distributed environments.
• Ability to collaborate effectively across product, engineering, security, and platform teams to drive technical strategy, design features, and deliver innovative solutions.
• Excellent communication, leadership, and stakeholder management skills with a proven ability to influence technical direction and execution.

• Lead the design and development of secure, scalable, and high-performance backend systems and cloud-native applications.
• Define and drive architectural best practices across microservices, APIs, data platforms, and cloud infrastructure.
• Evaluate, prototype, and implement AI-powered capabilities, including LLM-based applications and agentic workflows.
• Lead technical investigations, proof-of-concepts, and innovation initiatives aligned with business and product goals.
• Mentor and guide engineers through design reviews, code reviews, and technical decision-making.
• Partner with product, security, and platform teams to deliver secure, reliable, and scalable solutions.
• Drive operational excellence, observability, performance optimization, and production stability across services.