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

Review Criteria

• Strong Forward Deployed / Client-Facing Software Engineer / Integration / Product Support Engineer profiles
• 3+ years of hands-on software engineering experience, ideally in SaaS, enterprise tech, consulting, or platform-based engineering
• Strong proficiency in at least one programming language (Python / Java / JavaScript / TypeScript)
• Solid foundation in Data Structures, Algorithms, System Design, and ability to build production-grade solutions quickly
• Experience working on API integrations, backend services, data pipelines, or workflow-based systems
• Excellent analytical and problem-solving capability; ability to work directly with enterprise clients to diagnose and solve complex technical issues
• Strong communication skills and proven ability to collaborate with product, engineering, and customer teams
• Willingness to travel frequently to global client sites for deployments and solution delivery
• B.Tech / B.E. in Computer Science from Tier-1 institutes (IITs, BITS, NSIT, DAIICT, DTU, etc.)
• (Company) - Product Company only

Preferred

• Exposure to cloud services, data integration, ETL/Reverse ETL, or workflow automation tools.
• Experience with React / frontend frameworks, low-code development, or building internal tools.
• Familiarity with AI/ML, GenAI tools, LLM-driven automation, or experience applying them to real use cases.

Job Specific Criteria

• CV Attachment is mandatory
• Provide your current CTC Breakup (Fixed + Variable)
• What's your college name (undergraduate) and branch?
• What's your Current Company?
• Are you ok for traveling frequently to global client sites?
• How many years of experience do you have in Backend development?
• How many years of experience do you have in Frontend development?

Role & Responsibilities

As a Forward Deployed Software Engineer (FDSE), you’ll work at the intersection of engineering, problem-solving, and customer impact. You’ll embed with enterprise clients, understand real-world problems, and design and implement solutions using the company platform. This role is ideal for high-potential engineers from Tier-1 colleges who want to work on real enterprise-scale problems, gain full-stack exposure, and grow rapidly in a high-impact SaaS environment.

Key Responsibilities:

• Work with client and internal teams to understand complex business processes, legacy systems, and integration needs.
• Design, build, and deploy solutions using the company platform across data, workflows, and GenAI/LLM use cases.
• Develop data pipelines, API integrations, and low-code apps to solve high-impact problems.
• Collaborate closely with company’s product and engineering teams to shape platform capabilities through real deployments.
• Rapidly prototype, iterate, and deliver production-grade solutions with high ownership.
• Contribute to internal accelerators, templates, and best practices.

Ideal Candidate

Qualifications - Required:

• B.Tech / B.E. in Computer Science from Tier-1 institutes such as IITs, BITS, NSIT, DAIICT, DTU etc.
• > 3 years of professional experience.
• Proficiency in at least one programming language: Python, Java, JavaScript, or TypeScript.
• Strong foundation in data structures, algorithms, and system design.
• Excellent analytical and problem-solving skills.
• Strong communication and ability to work collaboratively.
• Willingness to travel frequently to client sites across the globe.

Qualifications - Preferred:

• Exposure to data integration, APIs, cloud services, or workflow tools.
• Experience with React / frontend frameworks or low-code platforms.
• Familiarity with AI/ML concepts or GenAI tools.
• Prior internships in SaaS, enterprise tech, or consulting environments.

Backend Engineer III – Senior Python Developer (LLM & AI)

Location: Gurgaon, India

Positions: 1

Experience: 6 to 9 Years

Gurgaon Hybrid

About the Role

We are seeking an experienced Backend Engineer III / Senior Python Developer to join our AI engineering team and play a critical role in building scalable, secure, and high-performance backend platforms for LLM and AI-driven applications. You will work as a hands-on individual contributor while collaborating closely with Machine Learning Engineers, Data Scientists, Product Managers, and Cloud/DevOps teams to deliver innovative, production-grade AI solutions.

Key Responsibilities

• Design, develop, and maintain scalable backend systems and services using Python to support LLM and AI-based applications
• Build and maintain RESTful APIs and microservices that serve machine learning models and AI components
• Write clean, modular, efficient, and testable code following industry best practices and coding standards
• Participate actively in code reviews, ensuring high quality, security, and maintainability of the codebase
• Debug, profile, and optimize applications to improve performance, reliability, and scalability
• Identify and resolve performance bottlenecks in AI/ML pipelines and backend services
• Collaborate with ML engineers, data scientists, and product teams to translate business and technical requirements into robust backend solutions
• Mentor and support junior developers, promoting a culture of technical excellence and continuous learning
• Design and implement CI/CD pipelines and automate deployment workflows to ensure consistent and reliable releases
• Stay up to date with emerging trends in Python, cloud-native development, and LLM/AI engineering practices and apply them to improve systems and processes

Required Skills & Experience

• 6 to 9 years of strong hands-on experience in Python development
• Solid understanding of Python software design, architecture patterns, and testing best practices
• Proven experience working on AI, Machine Learning, or LLM-based projects
• Strong experience in building and consuming RESTful APIs and microservices architectures
• Hands-on experience with FastAPI, Flask, or similar model-serving frameworks
• Strong debugging, performance profiling, and optimization skills
• Experience with CI/CD tools and workflows (e.g., GitHub Actions, Azure DevOps, Jenkins, etc.)
• Working knowledge of Docker and Kubernetes is a strong plus
• Excellent analytical, problem-solving, and communication skills
• Ability to work independently in a fast-paced, evolving AI/ML environment while mentoring junior team members

Education & Certifications

• Bachelor’s degree in Computer Science, Software Engineering, or a related technical field
• AWS or other relevant cloud certifications are preferred but not mandatory

Why Join Us?

• Work on cutting-edge AI and LLM platforms
• Collaborate with top-tier engineering and data science teams
• Opportunity to influence system architecture and technical direction
• Competitive compensation and career growth opportunities

We're looking for AI/ML enthusiasts who build, not just study. If you've implemented transformers from scratch, fine-tuned LLMs, or created innovative ML solutions, we want to see your work!

What You’ll Do

-Build autonomous AI agents using LangChain, LangGraph, and similar frameworks.

- Develop RAG pipelines with vector DBs like FAISS, Pinecone, or ChromaDB.

- Create FastAPI endpoints to expose agent functionality.

- Implement Model Context Protocol (MCP) for tool-agent integrations.

- Optimize prompts, workflows, and retrieval strategies for real performance.

- Contribute to new agentic AI design patterns and innovations.

Who Should Apply

We’re looking for freshers who are:

-Strong in Python and love experimenting with AI/ML projects.

- Familiar with one or more of these: LangChain/LangGraph, HuggingFace, PyTorch/TensorFlow, RAG pipelines.

- Active on GitHub with 2–3 well-documented projects (clean code + clear README).

- Curious, hands-on builders who want to learn by doing.

Bonus Points if you’ve dabbled with:

- LLM fine-tuning (LoRA, QLoRA), memory systems. AutoGen, CrewAI, MCP, or other agent frameworks.

- Docker, async programming, API integrations.

Education:

- Completed/Pursuing Bachelor's in Computer Science or related field

- Strong foundation in ML theory and practice

Apply if:

1. You have done projects using GenAI, Machine Learning, Deep Learning.
2. You must have strong Python coding experience.
3. Someone who is available immediately to start with us in the office(Hyderabad).
4. Someone who has the hunger to learn something new always and aims to step up at a high pace.

We value quality implementations and thorough documentation over quantity. Show us how you think through problems and implement solutions!

We are looking for a Senior Python Developer to produce large scale distributed software solutions. You’ll be part of a cross-functional team that’s responsible for the complete software development life cycle, from conception to deployment.

If you’re also familiar with Agile methodologies, we’d like to meet you.

Responsibilities:

Work with development teams and product managers to ideate software solutions Design client-side and server-side architecture Build the front-end of applications through appealing visual design Develop and manage well-functioning databases and applications Write effective APIs Test software to ensure responsiveness and efficiency Troubleshoot, debug and upgrade software Create security and data protection settings Write technical documentation

Requirements
Proven experience as a Python Developer or similar role Knowledge on Python, Django, MongoDB, Elasticsearch, AWS Excellent communication and teamwork skills Great attention to detail Organizational skills An analytical mind Experience on Apache Kafka, Hbase and Graph DB is an added bonus

Company Introduction (apna)

We are building a novel platform to create better economic opportunities for the blue/grey
workforce around the world. We are a very product focused and customer obsessed company. Delivering high quality products at lightning speed is our USP. If you are looking for challenging work and rapid merit based growth in your career, look no further and welcome aboard.

Checkout our product on Google Play store apna - Job Search App | Job Groups

Job Description

We are looking for a Senior Back-End Engineer responsible looking for engineering ownership of one/many products at apna. Your primary focus will be development of all server-side logic, definition and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end (Android + WebApp). A basic understanding of front-end technologies is therefore necessary as well.

Responsibilities
● Take ownership of end-to-end product development
● Be champion of Test Driven Development methodology
● Building reusable code and libraries for future use
● Optimization of the application for maximum speed and scalability
● Implementation of security and data protection
● Technical Documentation around the owned product

Skills And Qualifications
● Expert level in OOPS concepts and REST API development
● Proficiency in one or more of the following languages: Python, Java, Ruby, Go
● Knowledge around ElasticSearch, Celery, Redis is must
● Integration of multiple data sources and databases into one system
● Implementing automated testing platforms and unit tests
● Proficient understanding of code versioning tools, such as Git
● Knowledge of GCP would be a plus

Perks
● Have autonomy to work from home. Only one rule: Get things Done!
● We promote and celebrate team members contributing at a variety of professional
conferences and events. Be a speaker, contribute to open sourcepublish academic
work, publish an online blog showing your expertise. we are here to encourage you!
● You join us in your current area of expertise and let us know about your personal
professional goals. Looking to start your company? Further studies at the best institutes?
Want to change career track? We make sure you reach there!
● Generous pool of ESOPs

• 5-7 years of relevant product design, development and testing experience
• Strong technical skills in java springboot/MVC frameworks, reactjS. API development, Cloud native solutions like lambda, azure functions is good to have.
• Database – primarily Mongo DB, Knowledge of postgres /MySQL is good to have
• DevOps - Knowledge of DevOps will be good to have
• API - Preferred experience with one of API gateway platform (Apigee, Mulesoft, Kong, WSO2)
• Good communication skills, with an ability to express and understand complex technical concepts.
• Strong analytical, problem-solving, and conceptual skills.
• Ability to work under pressure and meet tight deadlines.
• Experience of working with globally distributed teams.
• Innovative and Self learner for mentoring and problem resolutions.
• Ability to mentor and manage product teams