Sr. Staff Software Engineer- Dot Net

Overview

Serve as a senior technical leader for complex, large-scale, cross-domain software systems and platform capabilities supporting payroll, compliance, and enterprise applications. Lead architecture, software development, AI-first engineering, reliability, security, technical strategy, mentorship, and end-to-end delivery across multiple teams.

What you'll do

• Serve as a subject matter expert and trusted technical advisor for complex systems, architecture, and engineering challenges.
• Lead the architecture, design, development, and evolution of large-scale, cross-domain software systems and platform capabilities.
• Develop technical strategies and drive architectural decisions covering scalability, reliability, maintainability, security, performance, and operational efficiency.
• Partner with architects, engineering leaders, product leaders, and stakeholders to evolve platform architecture and technical roadmaps.
• Drive development of scalable backend APIs, distributed systems, cloud-native services, and high-volume data processing capabilities.
• Establish software design, coding, testing, performance, maintainability, and operational-readiness practices.
• Lead code, design, and test-plan reviews and drive modernization and technical-debt reduction.
• Champion responsible AI adoption across requirements analysis, architecture, development, testing, documentation, troubleshooting, observability, and operations.
• Lead proofs of concept and technical experiments involving Generative AI, AI-assisted development, agentic systems, and intelligent automation.
• Develop reusable AI-enabled tools, patterns, or practices and measure their engineering impact.
• Mentor engineers on effective, secure, and responsible AI use throughout the SDLC.
• Own the health, reliability, scalability, observability, and production readiness of business-critical services.
• Participate in production support and on-call responsibilities and lead complex incident response, recovery, root cause analysis, and preventive improvements.
• Establish observability practices using telemetry, metrics, logs, traces, dashboards, and actionable alerting.
• Ensure secure coding, privacy, auditability, data governance, and compliance considerations are incorporated into architecture and design.
• Translate product, engineering, and business strategy into technical direction, execution, and long-term platform improvements.
• Mentor engineers, lead knowledge-sharing sessions, document architectural decisions, build technical communities, and participate in technical interviews.
• Lead large initiatives, programs, or multiple projects; manage dependencies and risks; and influence execution across teams without formal authority.
• Partner with Product, Architecture, Compliance, Customer Support, SRE, and engineering teams to deliver customer-focused solutions.
• Connect technical decisions to customer experience, business outcomes, reliability, compliance, and operational impact.

What you'll need

• Bachelor's degree in Computer Science, Engineering, or related technical field.
• 12+ years of professional software engineering experience, including significant experience designing and leading complex enterprise software systems.
• Deep expertise in Dot Net development.
• Proven experience architecting and delivering scalable backend services, APIs, distributed systems, and enterprise applications.
• Strong understanding of distributed-system architecture, design patterns, scalability, resiliency, concurrency, performance, and data consistency.
• Strong SQL and data-modeling experience.
• Hands-on experience with cloud platforms such as GCP, AWS, or Azure.
• Experience with distributed caching technologies such as Redis and/or Hazelcast.
• Strong experience with observability platforms including Grafana, Kibana, OpenTelemetry, or similar technologies.
• Proven ability to lead large, technically complex initiatives involving multiple teams, services, or domains.
• Demonstrated ability to develop technical strategy and translate broadly defined business outcomes into executable technical solutions.
• Proven experience leading resolution of complex production incidents and driving root cause analysis and preventive improvements.
• Strong understanding of CI/CD, DevOps practices, production operations, and service ownership.
• Strong understanding of secure software development and handling of sensitive customer data.
• Demonstrated AI-first engineering mindset with hands-on experience applying AI-assisted development tools and workflows to real engineering problems.
• Demonstrated ability to mentor engineers and influence technical decisions beyond the immediate team.
• Strong customer and business mindset with the ability to connect technical decisions to customer and organizational outcomes.
• Excellent communication skills with the ability to explain complex technical concepts, influence stakeholders, and build alignment across teams.
• Demonstrated ability to operate independently and exercise sound technical judgment in ambiguous and highly complex situations.

Nice to have

• Experience in payroll, tax, HR, fintech, compliance, financial systems, or other highly regulated domains.
• Strong understanding of U.S. and/or Canadian payroll processing concepts.
• Experience architecting high-volume, high-availability transaction processing systems.
• Experience designing and evolving cloud-native microservices and distributed architectures at enterprise scale.
• Deep understanding of CI/CD, Infrastructure as Code, deployment architecture, and modern DevOps practices.
• Experience leading major architectural transformations, platform modernization, or complex system migrations.
• Experience establishing observability, service-health, and operational-excellence standards across multiple teams.
• Experience with performance engineering and optimization of large-scale distributed applications.
• Experience designing resilient systems using patterns such as asynchronous processing, event-driven architecture, caching, fault tolerance, and graceful degradation.
• Experience driving adoption of AI-assisted engineering practices and demonstrating measurable improvements in engineering productivity or quality.
• Experience developing AI agents, engineering automation, or AI-enabled developer productivity solutions.
• Demonstrated ability to identify emerging technologies and translate them into practical engineering solutions.
• Experience influencing technical roadmaps and engineering strategy across multiple teams or a Value Stream.
• Demonstrated technical thought leadership through architecture forums, technical publications, internal engineering communities, patents, conference participation, or similar contributions.

Details

• Location: Pune City, India.
• Production support and on-call responsibilities are part of the role.