BENGALURU · FULLTIME
Software Development Engineer - II
GoKwik
Bengaluru · onsite · Posted 4d ago
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Undisclosed4–6 yrsfulltimeBengaluru
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Section · 01
About this role
About the role
What you ll do
What we re looking for
AI-native engineering and product experience
Good to have
Show us what you ve built
What success looks like
We re looking for two AI-native SDE-II Engineers who have built and operated high-scale backend systems and are hands-on with both Go and Node.js .
You ll build services for customer engagement, messaging, campaigns, automation and customer-data processing. You should be comfortable owning distributed systems in production and using AI to improve engineering speed without compromising correctness, security or reliability.
For us, AI-native means more than using a coding assistant: you can frame problems, use AI effectively, validate its output and take full ownership of what ships.
- Design, build and operate backend services using Go and Node.js/TypeScript .
- Build high-throughput event-driven systems with Kafka/Redpanda , including partitioning, consumer groups, ordering, retries, idempotency, replay and backpressure.
- Develop reliable messaging, campaign execution and automation services with queues, scheduling, rate limiting and failure recovery.
- Build resilient APIs and webhook integrations that handle duplicate events, out-of-order delivery and third-party failures.
- Design data models and optimize workloads across ClickHouse, MongoDB, PostgreSQL/Amazon RDS and Redis .
- Work on customer-event ingestion, identity resolution, segmentation and analytical pipelines.
- Build and operate services on AWS , with attention to performance, availability and infrastructure cost.
- Own production quality through automated tests, safe deployments, metrics, logs, traces and incident resolution.
- Use AI-assisted engineering for implementation, testing, debugging and documentation-and independently verify the results.
- Contribute to AI/LLM-powered capabilities with appropriate evaluation, security and operational safeguards.
- Demonstrated experience building and operating high-scale production systems . Be ready to explain the scale you handled, bottlenecks you solved and trade-offs you made.
- Strong hands-on proficiency in both Go and Node.js , with working knowledge of TypeScript .
- Practical experience with Kafka or Redpanda and asynchronous, distributed processing.
- Hands-on experience with:
- ClickHouse: analytical queries, event data and query optimization.
- MongoDB: document modelling, indexing and performance.
- PostgreSQL/Amazon RDS: relational modelling, transactions and query tuning.
- Redis: caching, expiry, coordination and queue-backed workloads.
- AWS: deploying, operating and troubleshooting backend services.
- Strong understanding of concurrency, distributed systems, API design and fault tolerance.
- Experience building reliable background jobs and workers; familiarity with Bull/BullMQ or equivalent .
- Strong production debugging skills, including diagnosing consumer lag, slow queries, latency spikes and resource bottlenecks.
- Ability to write maintainable code, meaningful tests and clear technical designs.
- Ownership of outcomes-from design through production-not just implementation.
- Use AI development tools effectively for coding, testing, refactoring and investigation, with disciplined review and verification.
- Experience building an AI/LLM-powered product or a meaningful working prototype is a strong plus.
- Be able to discuss your own contribution, architecture, model choices, evaluation approach, failure cases, latency and cost.
- Familiarity with structured outputs, tool/function calling, retrieval/RAG, agent workflows and safe access to data or actions is valuable.
- Understand how to protect sensitive information and avoid blindly trusting generated code or model responses.
- Experience with NestJS, Fastify or Express .
- Experience with Elasticsearch or ScyllaDB/Cassandra .
- Familiarity with OpenTelemetry , distributed tracing and production monitoring.
- Experience with AWS services such as SQS, Lambda and S3 .
- Experience with multi-tenant SaaS, customer-data platforms, messaging systems or Shopify integrations.
- Familiarity with MCP , AI tooling integrations, ETL/orchestration, containers and CI/CD.
If you ve built an AI/LLM product, we d love to see a demo. Share a working demo, a short screen recording or a repository you re permitted to share.
Walk us through:
- The problem it solves and what you personally built.
- How the system works beyond the model API call.
- How you evaluate quality and handle failures.
- The trade-offs around latency, cost, security and reliability.
A useful, thoughtfully engineered prototype is welcome-you don t need to disclose proprietary code or customer data.
You ship dependable services, solve real scale bottlenecks, improve performance and cost, and own production outcomes. You use AI to move faster while staying accountable for every change you ship.
Core stack: Go Node.js/TypeScript Kafka/Redpanda ClickHouse MongoDB PostgreSQL/Amazon RDS Redis AWS
Required Skills
Microservices Problem-solving Node.js GoLang Software Development GenAI AI Ownership messaging
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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Section · 02
Skills
Customer EngagementAutomationCampaignbackground jobsapisapi designAws Servicescachingamazon web servicescassandraAmazon RDSAi Development Toolsdata modelsClickHouseConcurrencyAsynchronousCampaign ExecutionArchitectureArtificial Intelligence
Section · Company
About GoKwik
GoKwik
Software Product
75
employees
2020
6 years old
Delhi,NCT
India
₹20.7L PA avg
Avg at GoKwik
About
GoKwik is a data technology led enabler, building a full-stack solution suite for eCommerce and D2C brands to help them unlock business growth. Embarked on a mission to democratise the shopping experience, GoKwik enables eCommerce brands to deliver superlative customer experience across the shopping funnel thereby boosting conversion rates and revenue growth. It also solves for other critical pain points of the industry such as COD RTO (Return to Origin) and helps brands manage the RTO problem while offering COD as a payment channel.
Industries
Software ProductEmerging Technologies
Employee ratings
10 reviews
2.7/ 5
Culture
2.4
Career growth
2.1
Work-life
2.3
Employees rate it well for
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