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About the role
Staff Software Engineer
India(Remote)
Trending
Job Description
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
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Own the design and evolution of scalable, secure, and high-performing web application architectures
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Lead complex feature delivery across systems, ensuring alignment with long-term platform strategy
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Act as a technical advisor to engineering and product leadership on design trade-offs and implementation approaches
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Drive engineering best practices across code quality, testing, observability, and system reliability
AI-First Engineering Transformation
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Champion AI-powered development by actively leveraging tools (e.g., Cursor, Claude Code, LLM platforms) to enhance productivity
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Define standards and best practices for AI-assisted coding, test generation, and design-to-code workflows
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Lead adoption of generative AI and LLM integrations into enterprise applications and engineering processes
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Partner with teams to operationalize AI-driven workflows and improve development efficiency at scale
Development & Delivery
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Design, develop, and maintain full-stack web applications with a focus on performance, usability, and reliability
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Contribute high-quality, production-grade code across frontend, backend, and APIs
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Drive adoption of modern engineering practices including microservices, cloud-native development, and CI/CD
Mentorship & Influence
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Mentor senior and mid-level engineers, fostering technical growth and engineering rigor
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Conduct in-depth code reviews, providing actionable and constructive feedback
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Influence engineering culture by promoting collaboration, ownership, and continuous improvement
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Lead by example in driving accountability, technical excellence, and innovation
Required Skills & Competencies
Core Technical Skills (Staff-Level Depth)
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Advanced expertise in software design, system architecture, and distributed systems
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Strong experience in API design and management (REST/gRPC, versioning, scalability)
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Deep understanding of cloud platforms (Azure or AWS) and cloud-native application design
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Solid foundation in application security, data protection, and secure coding practices
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Strong problem-solving and debugging skills across large-scale systems
AI & Modern Engineering
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Hands-on experience integrating LLMs, generative AI, and AI APIs (e.g., OpenAI, Anthropic, Azure OpenAI, AWS Bedrock)
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Experience applying AI across SDLC: code generation, testing, documentation, and workflow automation
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Understanding of ML concepts and AI adoption strategies across engineering teams
Collaboration & Leadership
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Proven ability to influence without authority and drive alignment across teams
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Strong communication skills, with the ability to translate complex technical concepts to diverse stakeholders
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High adaptability in fast-moving, ambiguous environments
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Commitment to ethical engineering practices and responsible AI use
Qualifications (Education & Experience)
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10+ years of experience in software engineering with a strong focus on web and distributed systems
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Demonstrated success in leading complex technical initiatives and delivering at scale
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Proven track record mentoring engineers and elevating team performance
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Experience driving adoption of new technologies and engineering transformations (preferably AI-driven)
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Experience operating in iterative, product-driven environments
Technical Expertise
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Strong full-stack development experience with:
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Backend: C#, .NET, Python
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Frontend: React (or modern SPA frameworks)
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Data: SQL Server, database design, data modeling
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Deep experience with Web APIs and microservices architectures
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Hands-on experience with cloud-native development and distributed systems
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Familiarity with containerization and orchestration (Docker, Kubernetes)
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Strong understanding of DevOps practices and CI/CD pipelines
Nice to Have
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Certifications in Cloud (Azure/AWS) or AI/ML
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Experience building enterprise-scale AI platforms or internal developer tooling
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Exposure to platform engineering, developer productivity, or internal frameworks
Apply Now
Job Info
- Job Identification24751
- Job CategoryTechnology
- Posting Date06/29/2026, 01:11 AM
- Job ScheduleFull time
- Posting LocationIndia(Remote)
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