Maintain and improve large-scale data pipelines and backend systems while ensuring high availability across microservices. Build automation tools for deployment and monitoring while taking end-to-end ownership of production system performance.
This is a remote position.
What You’ll Work On
High-scale distributed systems handling large data volumes (TB-scale pipelines)
Reliability and uptime across microservices-based architectures
Performance optimization and system resilience under real-world load
Backend systems that directly impact user experience and product growth
Key Responsibilities
Maintain and improve large-scale data pipelines and backend systems
Ensure high availability and performance across multiple microservices
Build tools to automate deployment, monitoring, and incident response
Take ownership of production systems, not just development tasks
Work closely with founders / global teams to solve critical engineering problems
Contribute to backend features with a strong focus on scalability and reliability
Requirements
Required Experience
8+ years in software engineering
5+ years in backend engineering or SRE roles
Strong experience in distributed systems and microservices
Proficiency in at least two:
C# (.NET Core)
Python
Node.js with TypeScript
Experience with AWS (Kinesis, DynamoDB preferred)
Strong debugging and system-level thinking
Ideal Candidate Traits
Thinks in terms of systems, not just code
Takes end-to-end ownership of reliability and performance
Comfortable working in high-ambiguity startup environments
Communicates clearly with global, non-India stakeholders
Focused on outcomes, not activity
Benefits
Flexible Work with Accountability Work remotely with clear deliverables, not micromanagement
Generous Time Off Paid leave, sick days, and mental wellness breaks
Health Insurance Coverage Comprehensive medical insurance for you and your family
Home Office Setup Allowance Build a workspace that supports deep work
Learning & Growth Budget Access to global courses, certifications, and conferences
High-Impact Work Direct exposure to YC founders and global product environments
Performance-Linked Upside Bonus structures tied to pod performance and outcomes
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