Engineering Manager, Warehouse Scale

United States Digital Space LLC

India

On-site

INR 3,000,000 - 6,000,000

Full time

9 days ago

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Job summary

United States Digital Space LLC is seeking an engineering manager for our Warehouse Scale team. You will lead a team that builds and operates foundational data infrastructure powering warehouse-native products, including data export pipelines, health checks, and connection setup.

You will balance people management with technical leadership, partner with Product Management, and drive reliable, scalable systems for enterprise customers while fostering a high-performing engineering culture.

Qualifications

  • 3+ years in software engineering with 2+ years in people management.
  • Experience building/operating data infrastructure at scale.
  • Ability to translate business goals into engineering plans with estimates.
  • Strong communication in distributed, multi-timezone teams.
  • Experience coaching engineers and handling performance management.

Responsibilities

  • Lead and develop a backend/infra team with coaching and growth.
  • Collaborate with PM and design to scope and sequence roadmap items.
  • Deliver critical infrastructure: data export pipelines and orchestration.
  • Coordinate with Warehouse Integrations, Experimentation, and Data Platform teams.
  • Communicate roadmaps, risks, and progress to leadership.
  • Drive operational excellence: reliability, observability, incident response.
  • Participate in hiring to grow the team and raise engineering bar.

Skills

People management
Backend engineering
Data infrastructure
Cross-timezone collaboration
Communication

Education

Bachelor's degree in a relevant field

Tools

Go
Java
Python
Airflow
Snowflake
Redshift
BigQuery

Job description

About the Job:

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 the company'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
About the company:

Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The the company platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations.

The the company platform was built to guide engineers to the next frontier of DevOps by:

  • Improving the velocity and stability of software releases, without the fear of end customer outages
  • Delivering targeted experiences by easily personalizing features to customer cohorts
  • Maximizing the business impact of every feature through the ability to experiment and optimize
  • Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types
  • Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability

At the company, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. 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.

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