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NOW HIRING · WORLD-CLASS TALENT Backend Tech Lead (Senior Level Engineering Leadership)

Placed by Recruiting Bond on behalf of a Confidential Digital Platform Leader

📍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 (L3–L6) 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 500–1,000 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.

HOW TO APPLY

This search is being managed exclusively by Recruiting Bond

Submit your application with an updated resume

Only shortlisted candidates will be contacted. All applications are treated with the strictest confidentiality.

⚡ We move fast — qualified candidates can expect a response within 48–72 business hours.

Recruiting Bond | Bengaluru, Karnataka, India | 2026

Job Title: Backend Engineer – Python (AI Backend)

Location: Bangalore, India

Experience: 1–2 Years

Job Description

We are looking for a Backend Engineer with strong Python skills and hands-on exposure to AI-based applications. The candidate will be responsible for developing scalable backend services and supporting AI-powered systems such as LLM integrations, AI agents, and RAG pipelines.

Key Responsibilities

• Develop and maintain backend services using Python (FastAPI preferred)
• Build and manage RESTful APIs for frontend and AI integrations
• Support development of AI-driven features (LLMs, RAG systems, AI agents)
• Design and maintain both monolithic and microservices architectures
• Optimize database performance and backend scalability
• Work with DevOps for Docker-based deployments

Required Skills

• Strong experience in Python backend development
• Hands-on experience with FastAPI / Django / Flask
• Knowledge of REST APIs and microservices
• Experience with AI applications (LLM usage, prompt engineering basics)
• Database knowledge: MongoDB, PostgreSQL or MySQL
• Experience with Docker and basic cloud platforms (AWS/GCP/Azure)
• Hands-on experience with Redis for caching and in-memory storage

Good to Have

• Experience integrating payment gateways (Razorpay, Stripe, PayU, etc.)
• Exposure to event-driven architectures using RabbitMQ, Kafka, or Redis Streams
• Kubernetes
• Understanding of model fine-tuning concepts

Salary (Lacs): Up to 22 LPA

Required Qualifications

•   4–7 years of total experience, with a minimum of 4 years in a full-time DevOps role

•   Hands-on experience with major cloud platforms (GCP, AWS, Azure, OCI), more than one will be a plus

•   Proficient in Kubernetes administration and container technologies (Docker, containerd)

•   Strong Linux fundamentals

•   Scripting skills in Python and shell scripting

•   Knowledge of infrastructure as code with hands-on experience in Terraform and/or Pulumi (mandatory)

•   Experience in maintaining and troubleshooting production environments

•   Solid understanding of CI/CD concepts with hands-on experience in tools like Jenkins, GitLab CI, GitHub Actions, ArgoCD, Devtron, GCP Cloud Build, or Bitbucket Pipelines

If Interested kindly share your updated resume on 82008 31681

Job description

Note: Applications are welcome from candidates who are immediate joiners or currently serving their notice period.

Key Responsibilities:

• Design, develop, and test low-latency, high-volume client-facing applications.
• Develop and maintain enterprise-scale, n-tier applications for the investment banking/capital markets domain.
• Implement microservices-based solutions using Spring Boot and other modern frameworks.
• Work extensively with Core Java 5.0 and above, Spring Framework, and CXF
• Optimize applications for multi-threading and high-performance server-side development
• Collaborate with cross-functional teams to design and implement scalable, secure, and efficient solutions
• Work with RDBMS (preferably Sybase) to handle large-scale data processing.
• Develop and maintain applications on Unix/Linux environments
• Utilize enterprise application design patterns to build robust and scalable solutions.
• Troubleshoot and resolve complex technical issues while ensuring application stability and performance.

Required Skills & Experience:

• 5 to 10 years of hands-on experience in Java development
• Strong knowledge of microservices architecture and cloud-based deployment.
• Expertise in Spring Framework, Spring Boot, and CXF
• Experience in developing and optimizing applications for high-volume, multi-threaded environments
• Solid understanding of financial domain applications, sales, and trading platforms
• Proficiency in working with relational databases (Sybase preferred)
• Familiarity with Unix/Linux environments and shell scripting.
• Strong analytical, problem-solving, and communication skills.
• Ability to articulate and present design ideas effectively.

• Developing models and business logic (e. g. transactions, payments, diet plan, search, etc).
• Architecting servers and services that enable new product features.
• Building out newly enabled product features.
• Monitoring system uptime and errors to drive us toward a high-performing and reliable product.
• Take ownership and understand the need for code quality, elegance, and robust infrastructure.
• Worked collaboratively on a software development team.
• Built scalable web applications.

Skills:

• Minimum 4 years of industry or open-source experience.
• Proficient in at least one OO language: Python(preferred)/Golang/Java.
• Writing high-performance, reliable and maintainable code.
• Good knowledge of database structures, theories, principles, and practices.
• Experience working with AWS components [EC2, S3, RDS, SQS, ECS, Lambda]

• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience)
• Proven 2 to 12 years of professional experience in Node.js development
• Strong proficiency in JavaScript, including ES6+ syntax
• Expertise in designing and developing RESTful APIs and microservices architecture
• Experience with popular Node.js frameworks such as Express.js, Nest.js, or Hapi.js
• Experience in modern front-end technologies (e.g., HTML, CSS, JavaScript frameworks like React, Angular, or Vue.js)
• Solid understanding of asynchronous programming, event-driven architecture, and design patterns
• Extensive knowledge of database systems, both SQL and NoSQL (e.g., MongoDB, PostgreSQL, MySQL)
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform
• Familiarity with containerization technologies (e.g., Docker, Kubernetes)

Job Category: Software Development

Job Type: Full Time

Job Location: Bangalore

Gnani.ai aims to empower enterprises with AI based speech technology.

Gnani.ai is an AI-based Speech Recognition and NLP Startup that is working on voice-based solutions for large businesses. AI is the biggest innovation that is disrupting the market and we are at the heart of this disruption. Funded by one of the largest global conglomerates in the world, and backed a number of market leaders in the tech industry,

We are working with some of the largest companies in the banking, insurance, e-commerce and financial services sectors and we are not slowing down. With aggressive expansion plans, Gnani.ai aims to be the leader in the global market for voice-based solutions.

Gnani.ai is building the future for voice-based business solutions. If you are fascinated by AI and would like to work on the latest AI technologies in a high-intense, fast-growing and flexible work environment with immense growth opportunities, come and join us. We are looking for hard workers, who are ready to take on big challenges.

NLP Software Developer

Gnani.ai is looking to hire software developers with 0 to 2+ Years of experience, with a keen interest in designing and developing chat and voice bots. We are looking for an Engineer who can work with us in developing an NLP framework if you have the below skill set

Requirements :

• Proficient knowledge of Python
• Proficient understanding of code versioning tools, such as Git / SVN.
• Good knowledge of algorithms to find and implement tools for NLP tasks
• Knowledge of NLP libraries and frameworks
• Understanding of text representation techniques, algorithms, statistics
• Syntactic & Semantic Parsing
• Knowledge/work experience on No-SQL database Mongo.
• Good knowledge of Docker container technologies.
• Strong communication skills

Responsibilities :

• Develop NLP systems according to requirements
• Maintain NLP libraries and frameworks
• Design and develop natural language processing systems
• Define appropriate datasets for language learning
• Use effective text representations to transform natural language into useful features
• Train the developed model and run evaluation experiments
• Find and implement the right algorithms and tools for NLP tasks
• Perform statistical analysis of results and refine models
• Constantly keep up to date with the field of machine learning
• Implement changes as needed and analyze bugs

Good To Have :

Start up experience is a plus