Python Developer

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

Role Overview

We are seeking a Junior Developer with 1-3 year’s experience with strong foundations in Python, databases, and AI technologies. The ideal candidate will support the development of AI-powered solutions, focusing on LLM integration, prompt engineering, and database-driven workflows. This is a hands-on role with opportunities to learn and grow into advanced AI engineering responsibilities.

Key Responsibilities

• Develop, test, and maintain Python-based applications and APIs.
• Design and optimize prompts for Large Language Models (LLMs) to improve accuracy and performance.
• Work with JSON-based data structures for request/response handling.
• Integrate and manage PostgreSQL (pgSQL) databases, including writing queries and handling data pipelines.
• Collaborate with the product and AI teams to implement new features.
• Debug, troubleshoot, and optimize performance of applications and workflows.
• Stay updated on advancements in LLMs, AI frameworks, and generative AI tools.

Required Skills & Qualifications

• Strong knowledge of Python (scripting, APIs, data handling).
• Basic understanding of Large Language Models (LLMs) and prompt engineering techniques.
• Experience with JSON data parsing and transformations.
• Familiarity with PostgreSQL or other relational databases.
• Ability to write clean, maintainable, and well-documented code.
• Strong problem-solving skills and eagerness to learn.
• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience).

Nice-to-Have (Preferred)

• Exposure to AI/ML frameworks (e.g., LangChain, Hugging Face, OpenAI APIs).
• Experience working in startups or fast-paced environments.
• Familiarity with version control (Git/GitHub) and cloud platforms (AWS, GCP, or Azure).

What We Offer

• Opportunity to work on cutting-edge AI applications in permitting & compliance.
• Collaborative, growth-focused, and innovation-driven work culture.
• Mentorship and learning opportunities in AI/LLM development.
• Competitive compensation with performance-based growth.

Requirements:

• Should be a go-getter, ready to shoulder more responsibilities, shows enthusiasm and interest in work.
• Excellent core Python skills including threading, dictionary, OOPS Concept, Data structure, Web service.
• Should have work experience on following stacks/libraries: Flask
• Familiarity with some ORM (Object Relational Mapper) libraries
• Able to integrate multiple data sources and databases into one system
• Understanding of the threading limitations of Python, and multi-process architecture Familiarity with event-driven programming in Python
• Basic understanding of front-end technologies, such as Angular, JavaScript, HTML5 and CSS3
• Writing reusable, testable, and efficient code
• Design and implementation of low-latency, high-availability, and performant applications
• Understanding of accessibility and security compliance

Experience in both RDBMS(MySQL), NoSQL databases (MongoDB, HDFS, HIVE etc) or in-memory caching technologies such as ehcache etc is preferable

1. Need to have an understanding of Elastic Search, Kafka, mongo DB, etc.

2. Should have experience of Jupter noobooks, data bricks

3. Java, Pythons

4. Senior level, 5-10 years of experience

5. It is important they have those skills so that they can take over current work. There are codes written in both Java as well as Python. (Java is legacy but that is the main search engine code). So it will be counter-productive if engineers hired have experience in both.

6. Excellent communication, analytical, research, grasping skills

• 8+ years of relevant work experience
• Well-versed in data structures, algorithms, and software design. Programming experience with at least one of
• Java or Python and object-oriented design
• Knowledge on SQL, NoSQL databases, Messaging/Caching technologies and AW deployments is a plus
• Exposure to the architecture and design (design patterns, security, reliability and scaling) of new and current systems. Experience in building highly scalable business applications, which involve implementing large complex business flows involving multiple third-party integrations
• Prior startup experience is a plus

• 0-3 application development experience in solution building on Blockchain technology.
• Solid understanding of and experience in blockchain / distributed ledger technologies familiarity with platforms, such as Ethereum and Hyperledger.
• Any additional expertise with Python, containerization (Docker) and additional Cloud exposure also a huge plus
• Security Architecture / Cryptography is a plus.
• Any additional expertise with Python, containerization (Docker) and additional Cloud exposure also a huge plus.
• Experience on development tools such as Hyperledger Fabric/Sawtooth,Geth , Composer, Solidity Remix Functional
• Basic understanding of Web applications architecture and protocols.