ABOUT WINGIFY:

Wingify + AB Tasty is a global leader in Digital Experience Optimization. In 2026, VWO and AB Tasty joined forces to build a unified platform spanning experimentation, personalization, feature management, behavioural insights, and AI.

Together, we serve 4,000+ customers globally, with nearly 800 people across 11 offices and more than $100M in revenue.

Both companies were founded 15+ years ago with experimentation at their core and share a similar engineering philosophy: deep thinking, fast execution, strong ownership, and minimal bureaucracy.

As we bring two mature technology platforms together, we are solving complex engineering problems around data scale, analytics architecture, identity, reporting, and platform convergence.

ABOUT THE ROLE

We are looking for a Lead Engineer - Backend / Data Platform to provide technical leadership for backend and data-intensive systems powering analytics, reporting, experimentation, and behavioural insights across Wingify + AB Tasty.

This is a hands-on technical leadership role, not an engineering management position.

You will continue to design systems and write production code, while also owning architecture and technical direction for significant workstreams.

You will work across Java, ClickHouse, BigQuery, Bigtable, Redis, Kafka, and GCP, solving problems spanning event ingestion, distributed processing, query engines, analytical storage, low-latency serving, and reporting.

A key part of the role is helping us evolve two mature analytics platforms toward a more unified data foundation without compromising the reliability of systems already serving production customers.

WHAT YOU'LL WORK WITH

- Java, Spring Boot and JVM-based backend services
- ClickHouse and ClickHouse Cloud for high-volume analytics
- BigQuery for large-scale analytical workloads
- Bigtable for low-latency NoSQL serving
- Kafka and Pub/Sub for real-time event streaming




- Redis for caching and distributed coordination
- GCP, including GCS, Dataflow, GKE and VMs
- Apache Beam / Dataflow for distributed data processing
- Go for adjacent reporting and SQL services

WHAT YOU'LL DO

- Own the architecture and technical design of significant backend and data-platform workstreams.
- Design distributed systems for high-volume event ingestion, analytical querying, data processing, and low-latency serving.
- Remain hands-on with Java and production backend development.
- Build and evolve backend services, APIs, query engines, data pipelines, and distributed processing systems.
- Make architectural decisions around data modelling, storage engines, partitioning, query patterns, caching, streaming, reliability, and cost.
- Design and optimise systems using ClickHouse, BigQuery, Bigtable, Redis, Kafka, and related technologies.
- Write and optimise complex analytical SQL and troubleshoot query-performance bottlenecks.
- Solve challenging production problems involving data correctness, pipeline failures, latency, throughput, and infrastructure.
- Own critical systems from design and implementation through deployment, observability, and production operations.
- Review technical designs and architecture proposed by other engineers.
- Mentor engineers and help improve system-design and production-engineering capabilities across the team.
- Partner with Product, Engineering, Data, and Infrastructure teams to translate complex requirements into scalable technical solutions.

WHAT WE'RE LOOKING FOR





- 6+ years of hands-on backend/software engineering experience.
- Robust hands-on experience with Java and backend development.
- Experience designing and building distributed or data-intensive production systems.
- Strong system-design and architecture fundamentals.
- Experience with analytical databases, data warehouses, or large-scale non-relational databases.
- Robust understanding of data modelling, partitioning, indexing, clustering, caching, and query optimisation.
- Strong SQL skills, particularly for analytical workloads.
- Experience designing and operating event-driven or streaming architectures using Kafka, Pub/Sub, or similar technologies.
- Experience building batch and/or streaming data pipelines at scale.
- Hands-on cloud experience. GCP is preferred.
- Strong production debugging and troubleshooting skills across applications, databases, pipelines, and infrastructure.
- Experience reviewing technical designs, mentoring engineers, and influencing architecture.

NICE TO HAVE

- Production experience with ClickHouse.
- Experience with BigQuery and/or Bigtable at scale.
- Apache Beam / Dataflow.
- Snowflake or warehouse-native compute.
- Experience processing billions of events or TB/PB-scale analytical datasets.
- Go or Vert.x.
- Experience with experimentation platforms, A/B testing, funnels, segmentation, identity, cohorts, or behavioural analytics.
- Docker, Kubernetes, CI/CD, Prometheus, Grafana, or GCP Cloud Monitoring.

WHY THIS ROLE

You will work on a production data platform that already operates at significant scale while helping shape the next generation of analytics infrastructure across Wingify + AB Tasty.

This is an opportunity to remain deeply hands-on while influencing architecture, solving complex distributed-system problems, and helping bring two mature analytics platforms onto a common data foundation.

📌 Lead Backend Engineer - Data Platform (Gurugram)
🏢 Wingify
📍 Gurugram