SDE III

Ovii's Interpretation of the Role

The SDE III/IV will design, build, and operate InMobi's global data‑platform‑as‑a‑product, enabling data engineers and analysts to run petabyte‑scale batch and streaming workloads. The role blends deep data‑engineering expertise with platform and cloud engineering to deliver reliable, high‑performance, observable data services.

Role Snapshot

• Design and deliver a self‑serve data platform
• Operate petabyte‑scale distributed compute
• Build Kubernetes‑based multi‑region infrastructure
• Ensure data quality, observability, and SLA compliance
• Drive performance and cost optimization
• Collaborate with data engineers, analysts, and product teams

Must-Have Requirements

• Spark (PySpark/Scala)
• Flink streaming
• Airflow DAG development
• Iceberg table format
• DBT modeling
• Great Expectations
• Velox / Gluten acceleration
• OpenMetadata catalog
• Kubernetes platform development
• Terraform & Helm
• Python programming
• Scala programming
• production data platform development
• distributed compute at petabyte scale
• data lake architecture and governance

Nice-to-Have Signals

• Prometheus/Grafana/Loki observability
• Kafka integration
• Cost‑optimization expertise
• cloud data platform control plane
• advanced observability
• real‑time streaming

Work Setup

• Location: Lucknow
• Remote scope: UNSPECIFIED
• Employment type: Full-Time

Not Specified in JD

• Visa sponsorship
• Salary range
• Remote eligibility
• Relocation
• Notice period
• Coding test
• Portfolio
• GitHub
• Writing sample
• Cover letter

What You'll Likely Work On

• Architect and implement integrations between OSS tools (Spark, Flink, Airflow, Iceberg) and internal services
• Own and scale multi‑region Kubernetes clusters that run data workloads
• Optimize compute utilization and storage for petabyte‑scale batch and real‑time pipelines
• Create telemetry, monitoring, and data‑quality frameworks to meet SLAs/SLOs
• Develop IaC and automated deployment pipelines for platform components
• Partner with data engineers and analysts to improve platform usability and reliability

Good Fit If You Have

• Experience building cloud data‑platform control planes
• Familiarity with advanced observability stacks (Prometheus, Grafana, Loki)
• Hands‑on work with real‑time streaming systems such as Kafka