Location: Hybrid (Bangalore)
Travel: Quarterly travel to Seattle(US)
Education: B.Tech from premium institutes only
Note: Only immediate joiners required/ 0 to 15 Days — no other applications accepted.
Role Summary
We are seeking top-tier Lead Engineers who can design, build, and deliver large-scale distributed systems with high performance, reliability, and operational excellence. The ideal candidate will be a hands-on engineer with expert system design ability, deep understanding of distributed architectures, and strong communication and leadership skills.
The Lead Engineer must be able to convert complex and ambiguous requirements into a fully engineered architecture and implementation plan covering components, data flows, infrastructure, observability, and operations.
Key Responsibilities
1. End-to-End System Architecture
- Architect scalable, reliable, and secure systems from initial concept through production rollout.
- Define system boundaries, components, service responsibilities, and integration points.
- Produce high-level (HLD) and low-level design (LLD) documents.
- Ensure designs meet performance, reliability, security, and cost objectives.
- Make informed design trade-offs with solid technical reasoning.
2. Component & Communication Design
- Break complex systems into independently deployable services.
- Define APIs, communication contracts, data models, and event schemas.
- Apply modern architecture patterns such as microservices, event-driven design, DDD, CQRS, and hexagonal architecture.
- Ensure component clarity, maintainability, and extensibility.
3. Communication Protocol & Middleware
- Design both sync and async communication layers: REST, RPC, gRPC, message queues, event streams (Kafka/Kinesis/Pulsar).
- Define retry/timeout strategies, circuit breakers, rate limiting, and versioning strategies.
- Handle backpressure, partitioning, delivery semantics (at-least/at-most/exactly once).
4. Data Architecture & Storage Strategy
- Architect data models and storage strategies for SQL and NoSQL databases, distributed caches, blob stores, and search indexes.
- Define sharding/partitioning, replication, consistency, indexing, backup/restore, and schema evolution strategies.
- Design real-time and batch data processing pipelines.
5. Operational Readiness
- Define observability (metrics, logs, traces) requirements.
- Collaborate with DevOps to ensure deployment, monitoring, alerts, and incident management readiness.
- Provide production support as a senior technical owner.
6. Leadership & Influence
- Lead technical discussions, design reviews, and cross-team collaboration.
- Mentor engineers and help elevate team practices.
- Influence technology direction and architectural standards.
Required Qualifications
- 10+ years of professional software engineering experience with strong backend and distributed systems background.
- Proven track record of leading large-scale architecture and delivery of production systems.
- Expert in system design with the ability to simplify ambiguity and craft robust solutions.
- Strong programming experience in one or more languages (Java, Go, Python, C++).
- Deep understanding of distributed systems, message streaming, queues, RPC/REST, and event-driven architecture.
- Experience with cloud platforms (AWS/Azure/GCP) and container technologies (Kubernetes/Docker).
- Strong communication, documentation, and leadership skills.
Preferred Skills
- Experience with large-scale messaging/streaming (Kafka/Pulsar), caching, and NoSQL.
- Experience designing for high availability, fault tolerance, and performance at scale.
- Mentoring and leading global engineering teams.
- Familiarity with observability tooling (Grafana, Prometheus, Jaeger).