Description

As a part of a platform team, you will help exemplify, measure and raise the reliability of data infrastructure of squads across different verticals within ***. You’ll work closely with engineers to provide OLAP capabilities to build dynamic, reliable data visualizations and share responsibility with them in diagnosing, resolving, and preventing production issues. We are strong believers in engineering teams taking operational responsibility for their products and work hard to support them in this.

What you'll do
Build, operate, and evolve data analytics platform that includes backend services as well as OLAP data store (Druid) for teams building analytics across ***.
Build internal tooling, libraries, and services that streamline integration patterns with our analytics platform.
Advocate for best practices in service design, data modeling, schema evolution, and contract testing to ensure long-term maintainability.
Work in an autonomous, mult-functional environment and collaborate with squads across *** to continuously iterate and deliver on new product objectives.
Who you are
3+ years of relevant experience with distributed datastores, and backend services.
Proficient in Java and excited to learn Kubernetes, Terraform.
Understanding of data modeling, dimensional schemas, and analytical query patterns.
Experience building internal developer tools, libraries, or shared services that support large engineering organizations.
Strong sense of ownership of service quality, SLOs, and operational excellence.
Familiar with OLAP databases or analytics warehouses (e.g., Druid, ClickHouse, Pinot, BigQuery, Snowflake). Experience with Druid is a strong plus.
Comfort with metrics-driven development and observability stacks (Prometheus, Grafana, similar).
You are a good communicator and an empathetic, attentive listener with the capability to anticipate the needs of partners
You are deeply curious, and enjoy exploring both technical and organizational problems and domains.
You are eager to learn new technologies and to expand your area of expertise
Will this position directly or indirectly manage others? - No
Provide the top 3 hard and soft skills required for this role.
Hard Skills
Java
Backend Engineering
Distributed Databases

Soft Skills
Collaboration
Communication
Active Listening & Empathy

Provide any skills or experience that are not required but nice to have. -
OLAP Databases: Experience with OLAP/analytical data warehouses (preferably Apache Druid, or ClickHouse, Pinot, BigQuery, Snowflake).
Infrastructure Tools: Hands-on exposure to Kubernetes and Terraform.
Integrations Experience: Background in solutions/integrations engineering or building shared internal developer tools and libraries.
Domain Knowledge: Experience in data analytics, marketing, or advertising industries.

How do you see this role bridging the gap between daily project goals and the company's broader strategic mission, and where do you expect this person to have the most influence across the organization? - This role connects daily execution to broader business strategy by load testing and performance tuning data infrastructure to streamline cloud costs, while transitioning backend services into a unified platform model. Its primary influence will be felt across internal *** engineering squads as the engineer builds declarative infrastructure pipelines and tooling that simplify database integrations.
Are there any known obstacles they will face, such as legacy systems, resource constraints, high-pressure deadlines, or complex stakeholder environments? -
Transition to a Platform Model: The candidate will navigate a dynamic environment as the team shifts from supporting specific backend features with their database to delivering a centralized, scalable platform model.
Complex Stakeholder Environments: The position requires interfacing with diverse cross-functional squads and internal stakeholders across the organization to guide platform adoption.
Ownership Ambiguities: The candidate must manage and resolve architectural boundaries and system ownership ambiguities that naturally arise during the transition to a platform-based ecosystem.
What specific skills or experience are necessary to navigate these challenges successfully? - Deep architectural and systems thinking, backed by background in backend services, distributed databases, and solutions or integrations engineering.
Can you walk me through the team's top priorities for the next 6-12 months and the specific metrics we'll use to define success? - Over the next 6 to 12 months, main priorities are building a declarative infrastructure pipeline, refining developer tooling, and optimizing OLAP database performance, with success measured by reduced cloud resource costs, seamless cross-squad platform adoption, and operational reliability.
How would you describe the current team dynamic and the core values that guide how you make decisions and collaborate? - Highly collaborative and autonomous, with all engineers actively contributing to technical decision-making. Decisions are reached through extensive group discussion, making transparency, open dialogue, and clear explanation of technical thought processes essential cultural fits.
 

Key Skills

Education

Any Graduate