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Lead Engineer – Distributed Systems
Lead Engineer – Distributed Systems
Wissen Technology's logo

Lead Engineer – Distributed Systems

Archana M's profile picture
Posted by Archana M
8 - 12 yrs
Best in industry
Bengaluru (Bangalore)
Skills
Distributed Systems
skill iconLeadership
LLD
HLD
DDD
CQRS
Apache Kafka
kinesis
pulsar
SQL

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). 


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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About Wissen Technology

Founded :
2000
Type :
Products & Services
Size :
1000-5000
Stage :
Profitable

About

The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015. Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains.

With offices in US, India, UK, Australia, Mexico, and Canada, we offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.


Leveraging our multi-site operations in the USA and India and availability of world-class infrastructure, we offer a combination of on-site, off-site and offshore service models. Our technical competencies, proactive management approach, proven methodologies, committed support and the ability to quickly react to urgent needs make us a valued partner for any kind of Digital Enablement Services, Managed Services, or Business Services.


We believe that the technology and thought leadership that we command in the industry is the direct result of the kind of people we have been able to attract, to form this organization (you are one of them!).


Our workforce consists of 1000+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like MIT, Wharton, IITs, IIMs, and BITS and with rich work experience in some of the biggest companies in the world.


Wissen Technology has been certified as a Great Place to Work®. The technology and thought leadership that the company commands in the industry is the direct result of the kind of people Wissen has been able to attract. Wissen is committed to providing them the best possible opportunities and careers, which extends to providing the best possible experience and value to our clients.

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