
Software Engineering Manager
turing • India - Remote
Posted: July 17, 2026
Job Description
We're hiring an Engineering Manager to lead and grow a team of engineers while staying close to the technology. You'll own your team's delivery, health, and growth — hiring and developing engineers, driving execution, and partnering across functions — without losing the technical judgment that earns your team's trust. This is a people-leadership role for someone who has built and run high-performing teams and brings a strong engineering foundation to the job.
- Own your team's delivery, health, and growth — planning, execution, and shipping across one or more teams.
- Hire, grow, and retain engineers; run 1:1s, performance management, and career development.
- Set and raise engineering standards, processes, and ways of working.
- Provide technical direction and pressure-test decisions without micromanaging.
- Partner with product, design, and leadership; manage up and across.
- Own team-level operational excellence, including incident and on-call ownership.
- 8–12 years of total engineering experience, including 3+ years of direct engineering leadership (people management) — owning a team's delivery, growth, and performance, not solely tech-lead/IC seniority.
- A track record of hiring, growing, and retaining engineers, with positive retention and team-health outcomes.
- Delivery ownership across one or more teams and strong cross-functional partnership with PM, design, and leadership.
- A strong underlying engineering foundation comparable to a Staff Engineer: driving architecture and technical direction across multiple services or teams.
- Deep distributed systems and cloud-native architecture knowledge; engineering judgment retained alongside the management role.
- Demonstrated impact on multi-team technical direction, migrations/modernization, reliability/performance, and engineering standards.
- A degree in Computer Science, IT, or a related engineering field is preferred but not required — we weight work outcomes most heavily.
- AI platform architecture experience.
- Agentic systems / LLM infrastructure experience.
Additional Content
We're hiring an Engineering Manager to lead and grow a team of engineers while staying close to the technology. You'll own your team's delivery, health, and growth — hiring and developing engineers, driving execution, and partnering across functions — without losing the technical judgment that earns your team's trust. This is a people-leadership role for someone who has built and run high-performing teams and brings a strong engineering foundation to the job.
- Own your team's delivery, health, and growth — planning, execution, and shipping across one or more teams.
- Hire, grow, and retain engineers; run 1:1s, performance management, and career development.
- Set and raise engineering standards, processes, and ways of working.
- Provide technical direction and pressure-test decisions without micromanaging.
- Partner with product, design, and leadership; manage up and across.
- Own team-level operational excellence, including incident and on-call ownership.
- 8–12 years of total engineering experience, including 3+ years of direct engineering leadership (people management) — owning a team's delivery, growth, and performance, not solely tech-lead/IC seniority.
- A track record of hiring, growing, and retaining engineers, with positive retention and team-health outcomes.
- Delivery ownership across one or more teams and strong cross-functional partnership with PM, design, and leadership.
- A strong underlying engineering foundation comparable to a Staff Engineer: driving architecture and technical direction across multiple services or teams.
- Deep distributed systems and cloud-native architecture knowledge; engineering judgment retained alongside the management role.
- Demonstrated impact on multi-team technical direction, migrations/modernization, reliability/performance, and engineering standards.
- A degree in Computer Science, IT, or a related engineering field is preferred but not required — we weight work outcomes most heavily.
- AI platform architecture experience.
- Agentic systems / LLM infrastructure experience.