Staff Software Engineer

Role: Staff Software Engineer Job Summary As a Staff Software Engineer, you will lead the design and delivery of high-impact, scalable web applications while shaping the technical direction of the team. You will serve as a trusted technical leader, driving architectural excellence, mentoring engineers, and accelerating development through AI-first engineering practices. This role requires a balance of hands-on development, system design, and cross-team influence to deliver resilient, high-quality solutions in a fast-paced, iterative environment. Key Responsibilities Technical Leadership & Architecture - Own the design and evolution of scalable, secure, and high-performing web application architectures - Lead complex feature delivery across systems, ensuring alignment with long-term platform strategy - Act as a technical advisor to engineering and product leadership on design trade-offs and implementation approaches - Drive engineering best practices across code quality, testing, observability, and system reliability AI-First Engineering Transformation - Champion AI-powered development by actively leveraging tools (e.g., Cursor, Claude Code, LLM platforms) to enhance productivity - Define standards and best practices for AI-assisted coding, test generation, and design-to-code workflows - Lead adoption of generative AI and LLM integrations into enterprise applications and engineering processes - Partner with teams to operationalize AI-driven workflows and improve development efficiency at scale Development & Delivery - Design, develop, and maintain full-stack web applications with a focus on performance, usability, and reliability - Contribute high-quality, production-grade code across frontend, backend, and APIs - Drive adoption of modern engineering practices including microservices, cloud-native development, and CI/CD Mentorship & Influence - Mentor senior and mid-level engineers, fostering technical growth and engineering rigor - Conduct in-depth code reviews, providing actionable and constructive feedback - Influence engineering culture by promoting collaboration, ownership, and continuous improvement - Lead by example in driving accountability, technical excellence, and innovation Required Skills & Competencies Core Technical Skills (Staff-Level Depth) - Advanced expertise in software design, system architecture, and distributed systems - Strong experience in API design and management (REST/gRPC, versioning, scalability) - Deep understanding of cloud platforms (Azure or AWS) and cloud-native application design - Solid foundation in application security, data protection, and secure coding practices - Strong problem-solving and debugging skills across large-scale systems AI & Modern Engineering - Hands-on experience integrating LLMs, generative AI, and AI APIs (e.g., OpenAI, Anthropic, Azure OpenAI, AWS Bedrock) - Experience applying AI across SDLC: code generation, testing, documentation, and workflow automation - Understanding of ML concepts and AI adoption strategies across engineering teams Collaboration & Leadership - Proven ability to influence without authority and drive alignment across teams - Strong communication skills, with the ability to translate complex technical concepts to diverse stakeholders - High adaptability in fast-moving, ambiguous environments - Commitment to ethical engineering practices and responsible AI use Qualifications (Education & Experience) - 10+ years of experience in software engineering with a strong focus on web and distributed systems - Demonstrated success in leading complex technical initiatives and delivering at scale - Proven track record mentoring engineers and elevating team performance - Experience driving adoption of new technologies and engineering transformations (preferably AI-driven) - Experience operating in iterative, product-driven environments Technical Expertise - Strong full-stack development experience with: - Backend: C#, .NET, Python - Frontend: React (or modern SPA frameworks) - Data: SQL Server, database design, data modeling - Deep experience with Web APIs and microservices architectures - Hands-on experience with cloud-native development and distributed systems - Familiarity with containerization and orchestration (Docker, Kubernetes) - Strong understanding of DevOps practices and CI/CD pipelines Nice to Have - Certifications in Cloud (Azure/AWS) or AI/ML - Experience building enterprise-scale AI platforms or internal developer tooling - Exposure to platform engineering, developer productivity, or internal frameworks Originally posted on Himalayas