Staff Software Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Software Engineer based in India.

As a Staff Software Engineer, you will provide technical leadership across teams while designing and evolving large-scale systems built for scalability, reliability, and long-term maintainability. You will help shape technical strategy, influence product and engineering roadmaps, and guide architectural decisions across multiple teams. The role combines deep hands-on engineering expertise with the ability to solve complex, systemic technical challenges. You will lead modernization, technical-debt reduction, observability, and reliability initiatives that strengthen critical production systems. You will also help accelerate engineering effectiveness through the thoughtful adoption of AI-assisted development practices. Working closely with engineering, product, QA, design, documentation, and technical support teams, you will have broad influence over both technology and business outcomes.

Accountabilities:

• Lead the architecture, design, and evolution of large-scale systems and distributed architectures, ensuring scalability, performance, reliability, and maintainability.
• Define and guide technical vision and strategy across multiple teams, aligning engineering priorities with long-term product and organizational objectives.
• Partner with engineering and product leadership to influence technical priorities, roadmap decisions, architectural direction, and investment areas.
• Establish and promote strong architectural patterns, coding standards, design practices, and engineering principles across teams.
• Provide technical leadership through architecture reviews, design reviews, code reviews, technical guidance, and hands-on problem solving.
• Lead the investigation and resolution of complex technical issues, including root-cause analysis, production incidents, performance challenges, and systemic reliability concerns.
• Drive observability, monitoring, incident response, and reliability engineering improvements across production environments.
• Lead technical-debt reduction and modernization initiatives, including re-platforming strategies and their execution across multiple engineering teams.
• Identify opportunities to adopt AI-assisted development practices that improve engineering velocity, software quality, developer productivity, and measurable business outcomes.
• Collaborate with cross-functional partners across Technical Support, QA, Design, Documentation, and Product Management to deliver effective technical solutions.
• Mentor engineers and provide technical leadership that promotes knowledge sharing, engineering excellence, and consistent technical standards.
• Influence technical direction across teams without relying on direct reporting authority, building alignment around complex architectural and engineering decisions.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.
• 8+ years of professional software engineering experience, with demonstrated technical leadership across complex, cross-team initiatives.
• Strong computer science fundamentals, including data structures, algorithms, software architecture, design patterns, and industry-standard engineering practices.
• Deep experience designing and evolving large-scale, distributed, high-performance systems and architectures.
• Strong hands-on experience designing, deploying, and operating production applications on public cloud platforms such as AWS, GCP, or Azure.
• Solid understanding of cloud architecture, security best practices, scalability, reliability, and operational considerations.
• Experience with .NET full-stack and API development across frontend and backend technologies is preferred.
• Strong proficiency in one or more programming languages such as Rust, C#, or JavaScript.
• Experience with distributed and microservices-based architectures, Docker, and Kubernetes.
• Experience with cloud-native infrastructure, serverless architectures, managed Kubernetes, and infrastructure-as-code tools such as Terraform, Pulumi, or Bicep.
• Understanding of cost-aware cloud resource design and efficient infrastructure utilization.
• Experience implementing modern authentication and authorization mechanisms, including OAuth 2.0, OIDC, and SAML.
• Strong experience with testing strategies, CI/CD, observability, monitoring, incident response, and reliability engineering at scale.
• Knowledge of secure coding practices, threat modeling, vulnerability remediation, and modern application security.
• Experience working with both relational and non-relational data stores.
• Strong communication, collaboration, problem-solving, and technical leadership skills.
• Ability to operate independently, influence senior stakeholders, and drive technical alignment across multiple teams without direct authority.
• Currently based in Pune or willing to relocate to Pune.

Benefits

• Opportunity to shape technical strategy and architecture across large-scale, business-critical systems.
• Broad technical influence across multiple engineering teams and product areas.
• Hands-on exposure to distributed systems, cloud-native architectures, microservices, Kubernetes, and modern infrastructure practices.
• Opportunity to lead modernization, reliability, observability, and technical-debt reduction initiatives with significant organizational impact.
• Ability to help shape the adoption of AI-assisted engineering practices and improve developer productivity and software quality.
• Close collaboration with engineering and product leadership as well as cross-functional technical teams.
• Strong opportunities for technical mentorship, knowledge sharing, and engineering leadership.
• Work within a high-performance environment focused on innovation, accountability, and continuous technical improvement.
• Pune-based opportunity with compensation, healthcare coverage, leave, flexibility, and other employment benefits determined by the hiring company and discussed during the recruitment process.