Engineering Manager, Warehouse Scale India

LaunchDarkly Group; India; On-site; INR 2,000,000 - 3,000,000; Full time

Job summary

LaunchDarkly Group is seeking an Engineering Manager for their Warehouse Scale team in India. In this role, you will lead a team responsible for developing foundational data infrastructure that powers LaunchDarkly's products. The ideal candidate will have 3+ years in software engineering with team management experience, and proven expertise in data infrastructure at scale. This position requires strong communication skills and a track record of mentoring engineers, alongside familiarity with various backend languages and data tools.

Qualifications

• 3+ years of experience in software engineering, with at least 2 years managing a team of backend or infrastructure engineers.
• Experience building or operating data infrastructure at scale.
• Proven ability to partner with Product Management to translate business goals into engineering plans.
• Strong communication skills, especially in distributed team environments.
• Track record of coaching and developing engineers.

Responsibilities

• Lead and develop a team of backend engineers, providing coaching and feedback.
• Partner with PM and Design to scope, estimate, and sequence roadmap items.
• Own the team's delivery of critical infrastructure.
• Collaborate with adjacent teams on shared infrastructure decisions.
• Communicate roadmaps, risks, and progress clearly.
• Drive operational excellence for production data infrastructure.
• Participate in hiring to grow the team.

Skills

Software Engineering

Team Management

Data Infrastructure

Communication Skills

Coaching and Development

Tools

Go

Python

Java

Rust

Snowflake

Redshift

BigQuery

Databricks

Airflow

Prequel

Job description

We're looking for an engineering manager for our Warehouse Scale team. In this role, you'll lead the team that builds and operates the foundational data infrastructure powering LaunchDarkly's warehouse-native products — data export pipelines, warehouse health checks, and warehouse connection setup.

You'll bring a balance of people management and technical leadership as you drive the development of critical platform infrastructure and foster a high-performing, collaborative engineering culture. You'll partner closely with Product Management and cross-functional teams to deliver reliable, scalable systems that enterprise customers depend on.

Responsibilities:

Lead and develop a team of backend engineers, providing coaching, feedback, and career growth opportunities

Partner with PM and Design to scope, estimate, and sequence roadmap items, making scope tradeoffs in real time

Own the team's delivery of critical infrastructure — data export pipelines, DAG orchestration, warehouse health checks, and connection setup

Collaborate with adjacent teams (Warehouse Integrations, Experimentation, Data Platform) on shared infrastructure decisions and cross-team dependencies

Communicate roadmaps, risks, and progress clearly to engineering leadership and cross-functional stakeholders

Build team working norms that promote collaboration, reduce silos, and keep engineers engaged

Drive operational excellence — improve reliability, observability, and incident response for production data infrastructure

Participate in hiring to grow the team and raise the engineering bar

Qualifications:

3+ years of experience in software engineering, with at least 2 years managing a team of backend or infrastructure engineers

Experience building or operating data infrastructure at scale — pipelines, orchestration frameworks, or data platform systems

Proven ability to partner with Product Management to translate business goals into engineering plans with reliable estimations

Strong communication skills, especially in distributed team environments with cross-timezone collaboration

Track record of coaching and developing engineers, including performance management, career growth planning, and technical mentorship

Familiarity with observability practices (metrics, tracing, alerting, structured logging) and comfort with production incident response

Experience with Go or comparable backend languages (Java, Python, Rust) is a plus

Familiarity with data warehouse platforms (Snowflake, Redshift, BigQuery, Databricks) and data pipeline tooling (Airflow, Prequel) is a plus

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status.