Lead backend and data-platform architecture while remaining hands-on with Java production code. Design and operate distributed systems for event ingestion, analytical querying, data processing, and low-latency serving. Work with ClickHouse, BigQuery, Bigtable, Kafka, Redis, GCP, and Dataflow to solve scalability, reliability, performance, and data-correctness challenges. Set technical direction, review designs, mentor engineers, and guide platform convergence across Wingify and AB Tasty.
About the Role
The Engineering Landscape
What You'll DoArchitecture & System Design
What We're Looking For
Nice to Have
Core Skills
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.
The Engineering Landscape
Our production data platform includes:
- ClickHouse — self-hosted and ClickHouse Cloud for high-volume analytics and SaaS reporting
- BigQuery — large-scale analytics and data processing
- Bigtable — low-latency NoSQL serving
- Redis — caching, queues, and distributed coordination
- Kafka — high-volume real-time event streaming
- GCP — GCS, Pub/Sub, Dataflow, IAM, Secret Manager, GKE and VMs
- Java — Spring Boot and JVM-based backend services
- Apache Beam / Dataflow — distributed event and batch processing
- Go — adjacent SQL and reporting services
Alongside the existing platform, we are building capabilities around:
- Warehouse-native experiment computation in customer Snowflake/BigQuery environments
- Cross-platform visitor profiles and identity
- First-party cohorts and saved audiences
- Unified metrics across internal and customer warehouses
- Converging Wingify and AB Tasty analytics onto a common data foundation
What You'll DoArchitecture & System Design
- Own the technical architecture and design of significant backend/data-platform workstreams.
- Design distributed systems for high-volume event ingestion, analytical querying, data processing, and low-latency serving.
- Make architectural decisions around data modelling, storage engines, partitioning, query patterns, caching, streaming, reliability, and cost.
- Evaluate trade-offs across ClickHouse, BigQuery, Bigtable, Redis, Kafka, and other technologies based on workload characteristics.
- Drive designs that can evolve as the Wingify and AB Tasty platforms converge.
- Remain hands-on with Java and production backend code.
- Build and evolve backend services, query engines, APIs, data pipelines, and distributed processing systems.
- Write and optimise complex analytical SQL and troubleshoot performance bottlenecks.
- Solve difficult production problems involving slow queries, data correctness, pipeline failures, latency, throughput, and infrastructure.
- Work with Kafka, Pub/Sub, Dataflow, GCS, ClickHouse, BigQuery, Bigtable, and Redis at production scale.
- Own critical systems through design, implementation, deployment, observability, and operation.
- Set technical direction for a platform area or major engineering workstream.
- Break ambiguous product and platform requirements into clear technical designs and execution plans.
- Review architecture and designs from other engineers and challenge assumptions constructively.
- Establish engineering practices around reliability, scalability, observability, performance, and maintainability.
- Mentor SSE-1/SSE-2 engineers and help them grow their system-design and production-engineering capabilities.
- Partner closely with Product, Engineering, Data, and Infrastructure teams.
- Influence architecture beyond your immediate projects without requiring formal people-management authority.
What We're Looking For
- 6+ years of hands-on backend/software engineering experience, with substantial experience building distributed or data-intensive systems.
- Demonstrated ownership of architecture and system design for production systems at meaningful scale.
- Strong hands-on Java experience, including modern Java and JVM backend systems.
- Strong experience designing systems around analytical databases, data warehouses, and/or large-scale non-relational stores.
- Deep understanding of data modelling, partitioning, indexing, clustering, query execution, caching, concurrency, and performance optimisation.
- Strong SQL and analytical-querying experience.
- Experience designing and operating streaming/event-driven architectures, ideally using Kafka or equivalent technologies.
- Experience building batch and/or streaming data pipelines at scale.
- Strong cloud engineering experience; GCP is preferred.
- Experience operating production systems with clear SLOs, observability, failure handling, and performance requirements.
- Strong debugging ability across applications, distributed systems, databases, pipelines, and infrastructure.
- Experience mentoring senior engineers, reviewing technical designs, and influencing architecture.
- Ability to balance long-term platform architecture with pragmatic delivery.
Nice to Have
- Deep production experience with ClickHouse, including schema design, MergeTree engines, partitioning, sorting keys, query optimisation, replication, and performance tuning.
- BigQuery and Bigtable at significant production scale.
- Apache Beam / Dataflow.
- Snowflake or warehouse-native compute architectures.
- Go, Vert.x, or other high-performance backend technologies.
- Experience handling billions of events and/or TB–PB scale analytical datasets.
- Experience with experimentation platforms, A/B testing, funnels, segmentation, identity resolution, cohorts, or behavioural analytics.
- Kubernetes, Docker, CI/CD, Prometheus, Grafana, or GCP Cloud Monitoring.
Core Skills
Java · System Design · Distributed Systems · Data Platform · ClickHouse · SQL · BigQuery · Bigtable · Kafka · Redis · GCP · Pub/Sub · Dataflow · ETL · Microservices · Technical Leadership
Wingify Software Pvt. Ltd. New Delhi, Delhi, IND Office
New Delhi, India
Similar Jobs
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Develop scalable platforms and services for Mastercard’s Priceless Platform. Responsibilities include writing and reviewing code, collaborating with product and design teams, implementing automated testing and CI/CD, building cloud-native systems, communicating with stakeholders, and improving quality, reliability, security, and technical debt. The role requires expertise in software engineering, distributed systems, APIs, microservices, cloud platforms, and agile product development.
Top Skills:
AgileAPIsAWSAzureC#Ci/CdDevOpsDistributed SystemsEvent-Driven ArchitectureGoGCPJavaMicroservicesPHPPythonReactive SystemsTypescript
.jpeg)
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Lead mechanical design reviews and coordination for large-scale semiconductor/pharma cleanroom facilities. Perform HVAC, exhaust, utility and piping analyses, CFD review, pipe stress and vibration checks, equipment specification and procurement support, clash detection, BIM coordination, and technical oversight during construction to ensure compliant, energy-efficient mechanical systems and on-time project delivery.
Top Skills:
AutocadBimBim 360ClaudeComputational Fluid Dynamics (Cfd)CopilotGen-Ai (ChatgptLlms)NavisworksP&Ids
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Design, review, and optimize high-reliability power distribution and substation systems for semiconductor fabs. Produce SLDs, sizing calculations, system studies, grounding/earthing, protection coordination, and commissioning support. Integrate SCADA/BMS, ensure compliance with standards, manage vendors/contractors, and support procurement, FAT/SAT, and energization.
Top Skills:
AisArc Flash AssessmentAutocadAutocad ElectricalBimBmsChatgptClaudeCo-PilotEtapFmcsGeneratorsGisHarmonic FiltersLlmsProtection RelaysRevitRmuScadaSkm Power ToolsSwitchgearTransformersUpsVfd
What you need to know about the Delhi Tech Scene
Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.
