Staff Software Engineer in India at Jobgether

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.

This is a high-ownership engineering role focused on modernizing large-scale software systems while keeping production environments stable and reliable. You will work hands-on across backend services, APIs, cloud infrastructure, and production operations. A key part of the role is incrementally transforming legacy monoliths into scalable, well-bounded services using proven modernization patterns. You will have significant influence over technical direction, architecture, reliability, and engineering practices. The environment values proactive problem-solving, strong technical judgment, and ownership from design through deployment and operations. You will also have the opportunity to use AI-augmented development tools to accelerate engineering, modernization, and problem-solving.

• Lead and evolve incremental modernization initiatives, safely transitioning legacy systems into scalable, well-bounded services while maintaining reliability and continuity.

• Decompose monolithic applications using approaches such as the strangler fig pattern, phased rollouts, and parallel-running systems.

• Define clear service boundaries, API contracts, and data ownership models as systems evolve.

• Manage the coexistence of legacy and modern systems throughout migration programs.

• Maintain backward compatibility and ensure the safe evolution of APIs, services, and data models.

• Identify and prioritize modernization opportunities based on business value, technical risk, system impact, and operational complexity.

• Improve system performance, scalability, maintainability, and reliability throughout modernization efforts.

• Design, build, test, deploy, and operate production software with a strong sense of end-to-end ownership.

• Debug and validate behavior across legacy systems and newly extracted services.

• Use observability and production data to validate migrations, identify issues, and continuously improve system reliability.

• Participate in incident response and a 24/7 on-call rotation when required.

• Apply AI-assisted development tools thoughtfully to analyze legacy code, understand system behavior, accelerate refactoring, and improve engineering productivity.

• 4+ years of professional software engineering experience with demonstrated ownership of production systems and operational improvements.

• Strong backend development experience with Ruby, Node.js, or a comparable technology.

• Hands-on experience modernizing monolithic systems incrementally in production environments.

• Practical knowledge of modernization strategies such as strangler fig, parallel runs, phased migrations, or similar approaches.

• Strong understanding of system decomposition, service boundaries, distributed systems, data ownership, REST APIs, and service contracts.

• Experience evolving legacy systems under real-world production constraints while balancing migration speed, stability, and risk.

• Proven ability to maintain backward compatibility and safely manage API and data contracts during system evolution.

• Experience building and operating cloud-native services on AWS.

• Familiarity with CI/CD practices and modern deployment workflows.

• Strong automated testing experience across unit, integration, and API layers, with a focus on code quality, debugging, and validation.

• Experience with observability platforms such as Datadog or equivalent tools for monitoring and troubleshooting production systems.

• Familiarity with incident response, production support, and continuous reliability improvements.

• Willingness to participate in a 24/7 on-call rotation and support the resolution of production incidents.

• Experience with, or strong interest in, AI-assisted development tools such as GitHub Copilot, ChatGPT, or Cursor, along with the ability to critically evaluate AI-generated solutions.

• Strong ownership, technical judgment, problem-solving ability, and a proactive approach to identifying and resolving engineering challenges.

• Ability to operate as a T-shaped engineer, combining deep expertise in a primary technical domain with the ability to work effectively across backend systems, APIs, cloud infrastructure, and operations.

• Fully remote work from India.

• Opportunity to work on complex, large-scale systems and meaningful modernization initiatives.

• High level of technical ownership and influence over architecture, engineering practices, and system reliability.

• Exposure to modern cloud-native technologies, production engineering, and AI-augmented development.

• Opportunity to work across the full software lifecycle, from design and implementation through deployment, observability, and operations.

• Collaborative environment with opportunities for continued technical learning and career growth.

• Experience working on products and systems serving a broad enterprise customer base.

• Equal opportunity workplace committed to a professional environment free from discrimination and harassment.