Tech Lead

This Tech Lead role involves driving the architecture and development of scalable distributed systems and complex data pipelines. The successful candidate will lead a team of engineers, focusing on high-performance backend services, scalable infrastructure, and resilient microservices architectures, combining technical excellence with leadership and strategic planning.

Must Have

• Design and implement distributed data processing pipelines (Go, Kafka, queueing systems).
• Architect microservices with Go frameworks (Gin/Echo/Fiber), implementing resilience patterns.
• Design and implement horizontal and vertical scaling strategies for workloads.
• Optimize resource utilization via load balancing, caching, and connection pooling.
• Build event-driven architectures with Apache Kafka (topic design, partitioning).
• Design polyglot persistence solutions (MongoDB, MySQL, Neo4j).
• Implement comprehensive monitoring and observability (Prometheus, Grafana, ELK, tracing).
• Design Kubernetes deployments with advanced patterns (StatefulSets, DaemonSets).
• Implement auto-scaling strategies (HPA, VPA, cluster autoscaling).
• Manage multi-environment deployments with GitOps workflows (ArgoCD/Flux).
• Design disaster recovery and backup strategies across regions.
• Implement cost optimization strategies for cloud resources.
• Lead a team of 5-8 engineers, conducting 1:1s and career development.
• Drive sprint planning, backlog grooming, and capacity planning.
• Define and track team OKRs aligned with organizational goals.
• Conduct performance reviews and create individual development plans.
• Foster technical excellence through code and design reviews, knowledge sharing.
• Manage stakeholder expectations and communicate technical decisions.
• Lead incident response and post-mortem processes.
• Collaborate with Product/Business to translate requirements into roadmaps.
• Perform capacity planning for infrastructure and team resources.
• Drive technical debt reduction initiatives balancing feature delivery.
• Establish engineering best practices, coding standards, documentation.
• Lead architectural decision records (ADRs) and technology evaluation.
• Advanced proficiency in Go (concurrency, memory optimization, error handling).
• Deep understanding of Kafka internals and exactly-once semantics.
• Hands-on experience with service mesh, API gateways, distributed caching, saga patterns.
• Expertise in load balancing, database sharding, read replicas, CDN integration.
• Strong knowledge of CPU/memory profiling, GPU acceleration, resource optimization.
• Experience with MySQL/PostgreSQL query optimization, indexing, connection pooling.
• Production experience with Kubernetes (CRDs, operators, network policies, RBAC).
• Expertise in distributed tracing, custom metrics, log aggregation, SLI/SLOs.
• 7-10 years of software engineering experience.
• 4+ years in distributed systems.
• 2+ years of technical leadership or team lead experience.
• Proven track record of leading projects from conception to production.
• Experience managing cross-functional technical initiatives.
• Background in 24x7 production support and on-call rotation.
• Experience with compliance and security requirements (SOC2, GDPR).

Perks & Benefits

• Medical insurance (Self + Spouse + Parents + Kids)
• Accidental insurance (Self)
• Employer's PF Contribution
• Gratuity: As per the Gratuity Act

About the Role

We're seeking an experienced Tech Lead to drive the architecture and development of scalable distributed systems and complex data pipelines. You'll lead a team of engineers while remaining hands-on with high-performance backend services, implement scalable infrastructure solutions, and design resilient microservices architectures. This role combines technical excellence with team leadership and strategic planning.

Responsibilities

Technical Leadership

• Design and implement distributed data processing pipelines using Go, Kafka, and various queueing systems (RabbitMQ, SQS, Redis Streams)
• Architect microservices using Go with Gin/Echo/Fiber frameworks, implementing circuit breakers, retry mechanisms, and graceful degradation
• Design and implement horizontal and vertical scaling strategies for compute-intensive workloads
• Optimize resource utilization through intelligent load balancing, caching strategies, and connection pooling
• Build event-driven architectures with Apache Kafka, including topic design, partition strategies, and consumer group management
• Design polyglot persistence solutions across MongoDB (document modeling, aggregation pipelines), MySQL (query optimization, indexing strategies), and Neo4j (graph traversal optimization)
• Implement comprehensive monitoring and observability using Prometheus, Grafana, ELK stack, and distributed tracing (Jaeger/Zipkin)

Infrastructure & DevOps

• Design Kubernetes deployments with advanced patterns: StatefulSets, DaemonSets, Jobs, and CronJobs
• Implement auto-scaling strategies: HPA, VPA, and cluster autoscaling based on custom metrics
• Manage multi-environment deployments with GitOps workflows (ArgoCD/Flux)
• Design disaster recovery and backup strategies across multiple regions
• Implement cost optimization strategies for cloud resources

Requirements

Team Leadership & Management

• Lead a team of 5-8 engineers, conducting regular 1:1s and career development discussions
• Drive sprint planning, backlog grooming, and capacity planning for quarterly deliverables
• Define and track team OKRs aligned with organizational goals
• Conduct performance reviews and create individual development plans
• Foster a culture of technical excellence through code reviews, design reviews, and knowledge sharing sessions
• Manage stakeholder expectations and communicate technical decisions to non-technical audiences
• Lead incident response and post-mortem processes

Strategic Planning

• Collaborate with Product and Business teams to translate requirements into technical roadmaps
• Perform capacity planning for infrastructure and team resources
• Drive technical debt reduction initiatives while balancing feature delivery
• Establish engineering best practices, coding standards, and documentation guidelines
• Lead architectural decision records (ADRs) and technology evaluation processes

Required Technical Skills

Backend Development

• Go Expertise: Advanced proficiency in concurrency patterns (worker pools, channels), memory optimization, and building production-grade middleware with proper error handling and context propagation.

Distributed Systems

• Message Streaming: Deep understanding of Kafka internals including partitioning strategies, consumer group management, and implementing exactly-once semantics with proper data serialization.
• Microservices Patterns: Hands-on experience with service mesh, API gateways, distributed caching, and implementing saga patterns for distributed transactions.

Scaling & Performance

• Horizontal Scaling: Expertise in load balancing (L4/T4/A10), database sharding, read replicas, and CDN integration for distributed workloads.
• Vertical Scaling: Strong knowledge of CPU/memory profiling, GPU acceleration for compute-intensive tasks, and resource optimization strategies.

Data Systems

• MySQL/POSTGRES: Experience with query optimization, indexing strategies, and connection pooling for RDBMS performance tuning.

Cloud & Infrastructure

• Kubernetes: Production experience with CRDs, operators, network policies, and implementing RBAC for multi-tenant environments.
• Observability: Expertise in distributed tracing, custom metrics, log aggregation, and defining SLI/SLOs for system reliability.

Tools knowledge

Required Experience

• 7-10 years of software engineering with 4+ years in distributed systems
• 2+ years of technical leadership or team lead experience
• Proven track record of leading projects from conception to production
• Experience managing cross-functional technical initiatives
• Background in 24x7 production support and on-call rotation management
• Experience with compliance and security requirements (SOC2, GDPR)

What we offer

Over and Above Benefits:

• Medical insurance (Self + Spouse + Parents + Kids)
• Accidental insurance (Self)
• Employer's PF Contribution
• Gratuity: As per the Gratuity Act