Location : Bengaluru, India (Hybrid / On-Site)

Sector : Technology, Information & Media

Company Size : 500 - 1,000 Employees

Employment : Full-Time, Permanent

Experience : 6 - 9 Years (Backend Engineering)

Level : Tech Lead

About this mandate :

Recruiting Bond has been exclusively retained by one of India's most well-established digital platform organisations a company operating at the intersection of Technology, Information, and Media to identify and place a world-class Backend Tech Lead who can drive a transformational engineering agenda at scale.

This is not an ordinary role. The organisation is executing a high-stakes, large-scale modernisation of its backend infrastructure migrating from legacy monolithic systems to resilient, cloud-native, AI-augmented distributed architectures that serve millions of concurrent users. The person in this seat will be a core pillar of that transformation.

We are looking exclusively for the top 1% engineers who think in systems, own outcomes, and lead by example.

The opportunity at a glance :

Architecture Ownership :

- Drive system design decisions across the entire backend platform.

- Shape the future of distributed, fault-tolerant architecture.

AI-Augmented Engineering :

- Embed GenAI and LLM tooling directly into the SDLC.

- Champion automation-first development practices across squads.

Engineering Leadership :

- Mentor and grow the next generation of backend engineers.

- Lead hiring, reviews, and cross-functional technical alignment.

Key Responsibilities :

1. Architecture & Platform Modernisation :

- Lead the full migration of legacy monolithic systems to a scalable, cloud-native microservices architecture

- Design and own distributed, fault-tolerant backend systems with sub-millisecond SLO targets

- Architect API-first and event-driven platforms using async messaging patterns (Kafka, Pub/Sub, SQS)

- Resolve systemic performance bottlenecks, concurrency conflicts, and scalability ceilings

- Establish backend design standards, coding guidelines, and architectural review processes

2. Distributed Systems Engineering (Production-Grade) :

- Design and implement Webhook reliability frameworks with intelligent retry and exponential backoff strategies

- Build idempotent, versioned APIs with enterprise-grade rate limiting and throttling controls

- Implement circuit breakers, bulkheads, and resilience patterns using Resilience4j / Hystrix or equivalents

- Engineer Dead-Letter Queue (DLQ) strategies and event reprocessing pipelines with guaranteed delivery semantics

- Apply Saga orchestration and choreography patterns for distributed transaction integrity

- Execute zero-downtime deployments and canary release strategies with rollback capability

- Design and enforce multi-region disaster recovery and business continuity protocols

3. AI-Driven Engineering Practices :

- Champion LLM and GenAI adoption as first-class tooling across the software development lifecycle

- Apply prompt engineering techniques for automated code generation, review, and documentation workflows

- Utilise AI-assisted debugging, root cause analysis, and predictive performance optimisation

- Build automation-first pipelines that reduce toil and accelerate delivery velocity

- Evaluate and integrate emerging AI developer tools into the engineering ecosystem

4. Engineering Leadership & Culture :

- Own backend platforms end-to-end with full accountability across development, stability, and performance

- Actively mentor, coach, and elevate engineers at all levels (L3L6) through structured 1:1s and code reviews

- Drive and lead technical hiring from designing assessments to final hire decisions

- Partner with Product, Data, DevOps, and Security stakeholders to align engineering with business objectives

- Represent the engineering org in cross-functional roadmap planning and architecture decision reviews

- Foster a culture of technical excellence, psychological safety, and high-velocity delivery

Technology Stack (Hands-On Proficiency Required) :

- Languages : Java (primary) ,Go , Python , Node.js , PHP , Rust

- Cloud : AWS , GCP , Azure (Multi-cloud exposure preferred)

- Containers : Docker , Kubernetes , Helm , Service Mesh (Istio / Linkerd)

- Databases : PostgreSQL , MySQL , MongoDB , Cassandra , Redis , Elasticsearch

- Messaging : Apache Kafka, RabbitMQ , AWS SQS/SNS , Google Pub/Sub

- Observability : Datadog , Prometheus , Grafana , OpenTelemetry , Jaeger , ELK Stack

- CI/CD & IaC : GitHub Actions , Jenkins, ArgoCD , Terraform , Ansible

- AI & GenAI : OpenAI / Claude APIs LangChain RAG Pipelines GitHub Copilot Cursor

Qualifications & Candidate Profile :

Education :

- B.E. / B.Tech or M.E. / M.Tech from a Tier-I or Tier-II Institution CS, IS, ECE, AI/ML streams strongly preferred

- Exceptional real-world engineering track record may be considered in lieu of institution pedigree

Experience :

- 6 to 9 years of progressive backend engineering experience with demonstrable ownership and impact

- Proven track record of shipping and scaling production SaaS / Product systems at significant user load

- Exposure to and success within start-up, mid-size, and large-scale product organisations the full spectrum

- Strong computer science fundamentals: algorithms, data structures, distributed systems theory, OS internals

- Demonstrated career stability minimum 2 years average tenure per organisation

The Ideal Candidate Exemplifies :

- System-level thinking with an ability to hold context across code, architecture, product, and business

- An ownership mindset no task is 'not my job'; outcomes and quality are personal commitments

- Strong written and verbal communication skills for asynchronous, cross-functional collaboration

- Intellectual curiosity: actively follows engineering trends, contributes to the community (OSS, blogs, talks)

- Bias for automation, observability, and engineering efficiency at every level

- A mentor's instinct genuine desire to grow others and raise the capability of the team around them

Why this role stands apart :

Transformational Scope :

- Lead platform modernisation at scale. Your architectural choices will define systems serving millions of users for years.

AI-Forward Engineering Culture :

- Be at the forefront of AI-augmented development. This org invests in tools and practices that make great engineers exceptional.

Established, Stable Platform :

- Join a company with 5001,000 employees, proven product-market fit, and the resources to execute on a serious technical vision.

Career-Defining Leadership :

- Operate with strategic influence, direct access to senior leadership, and a clear path toward Principal / Staff / VP Engineering.