Senior Software Engineer (Golang / AI / Cloud / Distributed)

Job Summary

We are looking for a Lead Software Engineer to lead a high-performing engineering team building scalable APIs and data platforms. You will own delivery and technical direction while driving AI-first engineering practices using automation and intelligent tooling to improve how we design, build, ship, and operate software. You will balance hands-on technical leadership with operational excellence, and a strong focus on quality and reliability.

Job Requirements

Must Have

• 8+ years of software engineering experience
• Strong hands-on background with Go and Python in production systems
• Experience building and operating APIs (REST and/or GraphQL) at scale
• Deep familiarity with PostgreSQL, Redis, and ClickHouse (or comparable OLTP + cache + OLAP stack)
• Proven experience with observability and monitoring using ELK and Grafana
• Practical understanding of Data Lakehouse concepts: data ingestion, warehousing/lake patterns, and analytics pipelines
• Track record of engineering excellence: code review culture, CI/CD, testing strategy, and technical debt management
• Demonstrated operational excellence: incident management, SLOs, production support, and reliability improvements
• Strong talent management skills: hiring, coaching, performance management, and team building
• Excellent communication and stakeholder management across technical and non-technical audiences
• Commitment to AI-first engineering: actively using AI tools to improve team productivity, quality, and decision-making

Nice to Have

• Experience with Agentic AI systems: autonomous agents, tool-use workflows, RAG pipelines, or AI orchestration in production
• Background in data engineering, streaming, or large-scale analytics platforms
• Experience with cloud-native infrastructure, containers, and infrastructure-as-code
• Familiarity with security, compliance, and data governance in regulated environments
• Prior experience scaling teams through hypergrowth or platform modernization initiatives

Education

IC - Typically requires a minimum of 8 years of related experience.Mgr & Exec - Typically requires a minimum of 6 years of related experience.

• 8+ years of software engineering experience
• Strong hands-on background with Go and Python in production systems
• Experience building and operating APIs (REST and/or GraphQL) at scale
• Deep familiarity with PostgreSQL, Redis, and ClickHouse (or comparable OLTP + cache + OLAP stack)
• Proven experience with observability and monitoring using ELK and Grafana
• Practical understanding of Data Lakehouse concepts: data ingestion, warehousing/lake patterns, and analytics pipelines
• Track record of engineering excellence: code review culture, CI/CD, testing strategy, and technical debt management
• Demonstrated operational excellence: incident management, SLOs, production support, and reliability improvements
• Strong talent management skills: hiring, coaching, performance management, and team building
• Excellent communication and stakeholder management across technical and non-technical audiences
• Commitment to AI-first engineering: actively using AI tools to improve team productivity, quality, and decision-making
• Experience with Agentic AI systems: autonomous agents, tool-use workflows, RAG pipelines, or AI orchestration in production
• Background in data engineering, streaming, or large-scale analytics platforms
• Experience with cloud-native infrastructure, containers, and infrastructure-as-code
• Familiarity with security, compliance, and data governance in regulated environments
• Prior experience scaling teams through hypergrowth or platform modernization initiatives