Senior Software Engineer (Dapr OSS)

Accountabilities You will contribute directly to the Dapr runtime while helping grow the engineering presence in India. Your responsibilities will combine software development, open-source collaboration, technical guidance, and local team leadership.

• Design, develop, and deliver features for the Dapr runtime, taking projects from initial proposals through implementation and release.

• Review pull requests submitted by internal engineers and open-source contributors, ensuring high standards of correctness, testing, and API design.

• Investigate and resolve complex distributed systems issues, including race conditions, retries, partial failures, and state persistence during crashes.

• Write technical proposals and design documentation in the open, and actively participate in community review discussions.

• Contribute to Dapr release processes, including release candidates, patch releases, and security fixes.

• Support users and contributors through GitHub and Discord, helping resolve technical questions and encouraging community participation.

• Mentor new contributors and help engineers become productive within the Dapr codebase and development practices.

• Support the recruitment and growth of the India engineering team by shaping hiring processes, interviewing candidates, and identifying strong talent.

• Serve as the local engineering point of contact in India, providing guidance and feedback while coordinating with technical managers responsible for each engineer's day-to-day work and performance.

• Help establish a strong local engineering culture built around ownership, technical quality, and open collaboration.

• Work with leadership on India-specific matters, including hiring plans, working hours, and team structure.

• Represent the organization within the local engineering and open-source communities through meetups, conferences, and contributor outreach.

The role remains primarily hands-on, with local leadership responsibilities expanding as the India team grows.

Requirements

The ideal candidate combines strong Go engineering expertise with practical experience designing distributed systems and a genuine commitment to open-source development. You should also be comfortable supporting engineers and helping build a local team.

• 5+ years of professional experience with Go, including production code you can confidently explain and maintain.

• Demonstrated experience designing, building, and operating distributed systems, with a strong understanding of failure scenarios and system resilience.

• At least 2 years of experience working with Kubernetes and containers.

• Strong computer science fundamentals, particularly in concurrency, networking, and data consistency.

• Practical, daily experience using AI coding tools, together with the judgment to review, test, and validate generated code before shipping it.

• Strong written English skills, with the ability to communicate clearly through GitHub issues, pull requests, technical proposals, and design documentation.

• Ability to work effectively with distributed teams across multiple countries and time zones.

The following experience would be an advantage:

• Contributions merged into open-source Go projects, particularly within the CNCF ecosystem.

• Previous experience maintaining an open-source project.

• Familiarity with Dapr or durable workflow and execution platforms such as Temporal, Azure Durable Functions, or AWS Step Functions.

• Experience with gRPC and Protocol Buffers.

• Knowledge of additional programming languages supported by Dapr SDKs, including Java, Python, JavaScript, .NET, or Rust.

Benefits

• Competitive compensation.

• Company equity.

• Remote-first and flexible working environment.

• Flexible paid time off.

• Comprehensive healthcare coverage for you and your dependents.

• Choice of work hardware.

• $1,000 home office setup allowance.

• Monthly work-from-home stipend.

• Team events and gatherings.

• Opportunity to collaborate with recognized figures and experienced professionals in the cloud-native and open-source communities.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether?

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