Python Developer

Location: Mumbai, Maharashtra, India

Sector: Technology, Information & Media

Company Size: 500 - 1,000 Employees

Employment: Full-Time, Permanent

Experience: 10 - 14 Years (Engineering Leadership)

Level: Engineering Manager / Group EM

ABOUT THIS MANDATE :

Recruiting Bond has been exclusively retained by one of India's most prominent and well-established digital platform organisations operating at the intersection of Technology, Information, and Media to identify and place an exceptional Engineering Manager who can lead engineering teams through an enterprise-wide AI adoption and digital transformation agenda.

This is a high-impact, hands-on leadership role at the nexus of people, product, and technology. The organisation is executing one of the most ambitious AI transformation programmes in its sector and this Engineering Manager will be a core driver of that change. You will lead multiple squads, own engineering delivery end-to-end, embed AI tooling and practices into the team's DNA, and shape the engineering culture of tomorrow.

We are seeking leaders who code when it matters, who build systems and teams with equal conviction, and who view AI not as a trend but as a fundamental shift in how great software is built.

THE OPPORTUNITY AT A GLANCE :

AI-First Engineering Culture :

• Own AI adoption across your squads - from LLM tooling integration to automation-first delivery workflows. Make AI a default, not an afterthought.

Hands-On Engineering Leadership :

• Stay close to the code. Lead architecture reviews, unblock engineers, and set the technical bar - not just the management agenda.

People & Org Builder :

• Grow engineers into leaders. Build squads of 615 across functions. Drive hiring, career frameworks, and a culture of psychological safety.

KEY RESPONSIBILITIES :

1. Hands-On Technical Engagement :

• Remain deeply embedded in the technical work participate in design reviews, architecture decisions, and critical code reviews
• Set and uphold the engineering quality bar : performance benchmarks, security standards, test coverage, and release quality
• Provide technical direction on backend platform strategy, API design, service decomposition, and data architecture
• Identify and resolve systemic technical debt and architectural risks across team-owned services
• Unblock engineers by diving into complex problems debugging, pair programming, and system analysis when it matters
• Own key technical decisions in collaboration with Tech Leads and Principal Engineers; balance pragmatism with long-term sustainability

2. AI Adoption, Integration & Transformation (2026 Mandate) :

• Define and execute the team's AI adoption roadmap - from developer tooling to product-facing AI features
• Champion the integration of GenAI tools (GitHub Copilot, Cursor, Claude, ChatGPT) across the full engineering workflow coding, testing, documentation, incident response
• Embed LLM-powered capabilities into the product : recommendation engines, intelligent search, conversational interfaces, content generation, and predictive systems
• Lead evaluation and adoption of AI-assisted SDLC practices : automated code review, AI-generated test suites, intelligent observability, and anomaly detection
• Partner with Data Science and ML Platform teams to productionise ML models with robust MLOps pipelines
• Build team literacy in prompt engineering, RAG (Retrieval-Augmented Generation), and AI agent frameworks
• Create an experimentation culture : run structured AI pilots, measure productivity impact, and scale what works
• Stay ahead of the AI tooling landscape and advise senior leadership on strategic AI investments and engineering implications

3. People Leadership & Team Development :

• Lead, manage, and grow squads of 6 - 15 engineers across seniority levels (L2 through L6 / Junior through Staff)
• Conduct structured 1 : 1s, career growth conversations, and development planning with every direct report
• Design and execute personalised AI upskilling programmes ensure every engineer develops practical AI fluency by end of 2026
• Build and maintain a high-performance team culture : clarity of ownership, accountability, fast feedback loops, and psychological safety
• Drive performance management fairly and rigorously recognise top performers, manage underperformance constructively
• Lead technical hiring end-to-end : define job requirements, conduct bar-raising interviews, and make data-driven hire decisions
• Contribute to engineering career frameworks and level definitions in partnership with the VP / Director of Engineering

4. Engineering Delivery & Execution Excellence :

• Own end-to-end delivery for multiple product squads from planning and scoping through production release and post-launch stability
• Implement and refine agile delivery frameworks (Scrum, Kanban, Shape Up) calibrated to squad needs and product cadence
• Drive predictable delivery : maintain healthy sprint velocity, manage WIP limits, and ensure dependency resolution across teams.
• Establish and own engineering KPIs : DORA metrics (deployment frequency, lead time, MTTR, change failure rate), uptime SLOs, and velocity trends
• Lead incident management : build blameless post-mortem culture, own RCA processes, and drive systemic reliability improvements
• Balance technical debt repayment with feature velocity negotiate prioritisation transparently with Product leadership

5. Strategic Leadership & Cross-Functional Influence :

• Serve as the primary engineering partner for Product, Design, Data, and Business stakeholders translate ambiguity into executable engineering plans
• Participate in quarterly roadmap planning, capacity forecasting, and OKR definition for engineering teams
• Represent engineering in leadership forums articulate technical constraints, risks, and opportunities in business terms
• Contribute to org-wide engineering strategy : platform investments, build-vs-buy decisions, and shared infrastructure priorities
• Build relationships across geographies (Mumbai HQ + distributed teams) to maintain alignment and delivery cohesion
• Act as a culture carrier and ambassador for engineering excellence, innovation, and responsible AI use

AI TRANSFORMATION LEADERSHIP 2026 EXPECTATIONS :

In 2026, Engineering Managers at this organisation are expected to be active architects of AI transformation not passive observers. The following outlines the specific AI leadership expectations for this role :

AI Developer Productivity

• Drive measurable uplift in developer velocity through AI tooling adoption. Target : 30%+ reduction in code review cycle time and 40%+ increase in test coverage automation by Q3 2026.

LLM & GenAI Product Features

• Own delivery of GenAI-powered product capabilities : intelligent content, semantic search, personalisation, and conversational UX in production, at scale.

AI-Augmented Observability

• Implement AI-driven monitoring and anomaly detection pipelines. Reduce MTTR by leveraging predictive alerting, intelligent runbooks, and auto-remediation scripts.

Team AI Fluency :

• Build mandatory AI literacy across all engineering levels.
• Every engineer understands prompt engineering basics, AI ethics guardrails, and responsible AI deployment practices.

Responsible AI Governance :

• Partner with Security, Legal, and Data Privacy to ensure all AI deployments meet compliance standards, bias mitigation requirements, and explainability benchmarks.

TECHNOLOGY STACK & DOMAIN FAMILIARITY REQUIRED :

• Languages: Java/ Go/ Python/ Node.js /PHP /Rust (must be hands-on in at least 2)
• Cloud: AWS / GCP / Azure (multi-cloud exposure strongly preferred)
• AI & GenAI: OpenAI / Anthropic / Gemini APIs /LangChain /LlamaIndex / RAG / Vector DBs / GitHub
• Copilot: Cursor /Hugging Face
• Containers: Docker /Kubernetes /Helm /Service Mesh (Istio / Linkerd)
• Databases: PostgreSQL /MongoDB / Redis / Cassandra / Elasticsearch / Pinecone (Vector DB)
• Messaging: Apache Kafka /RabbitMQ /AWS SQS/SNS /Google Pub/Sub
• MLOps & DataOps: MLflow /Kubeflow / SageMaker / Vertex AI /Airflow /dbt
• Observability: Datadog /Prometheus /Grafana /OpenTelemetry / Jaeger /ELK Stack
• CI/CD & IaC: GitHub Actions ArgoCD / Jenkins / Terraform /Ansible /Backstage (IDP)

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
• Demonstrated engineering depth and leadership impact may complement institution pedigree

Experience :

• 10 to 14 years of progressive engineering experience, with at least 3 years in a formal Engineering Manager or equivalent people-leadership role
• Proven track record of managing and scaling engineering teams (615+ engineers) in a fast-growing SaaS or digital product environment
• Hands-on backend engineering background must be able to read, write, and critique production code
• Direct experience driving AI/ML feature delivery or AI tooling adoption within engineering organisations
• Exposure across start-up, mid-size, and large-scale product organisations, preferred adaptability is a core requirement
• Strong CS fundamentals: distributed systems, algorithms, system design, and software architecture
• Demonstrated career stability minimum of 2 years of average tenure per organisation.

The Ideal Engineering Manager in 2026 :

• Leads with context, not control, empowers engineers while maintaining accountability and quality
• Is fluent in both people language and technical language, switches registers naturally with engineers and executives alike
• Sees AI as a force multiplier for the team, not a threat. Actively experiments with and advocates for AI tooling
• Measures success by team outcomes, not personal output. Takes pride in what the team ships, not what they build alone
• Creates feedback loops obsessively between product and engineering, between seniors and juniors, between metrics and decisions
• Has strong opinions, loosely held, brings conviction to discussions but updates on evidence
• Invests in engineering excellence as seriously as delivery velocity knows that quality and speed are not opposites

WHY THIS ROLE STANDS APART :

AI Transformation at Scale :

• Lead one of the most significant AI adoption programmes in India's digital media sector.
• Our decisions will shape how hundreds of engineers work in 2026 and beyond.

Hands-On & Strategic Balance :

• A rare EM role that actively encourages technical depth.
• Stay close to the code while owning the people agenda - the best of both worlds.

Established Platform, Real Scale :

• 5001,000 engineers, proven product-market fit, and the org maturity to execute.
• This is not a greenfield startup gamble it is a serious company with serious ambition.

Clear Leadership Growth Path :

• A visible, direct path toward Director / VP of Engineering.
• Senior leadership is invested in growing its next generation of technology executives.

About the Role

We are looking for a strong software engineer who actively uses AI to build better software faster. This is a backend-heavy engineering role where LLMs and AI systems are integrated into real production applications.

You will design, build, deploy, and maintain AI-enabled systems, while maintaining strong engineering discipline and code quality.

Key Responsibilities

• Architect and build scalable backend systems (Python / FastAPI preferred)
• Integrate LLM APIs, RAG pipelines, and AI workflows into production applications
• Deploy and maintain containerized applications on AWS/Azure
• Use AI coding assistants and agents to accelerate development, without compromising code quality
• Convert ambiguous requirements into production-ready systems

Must-Have Skills

• 7+ years of professional software engineering experience
• Strong Python backend experience
• Experience building REST APIs and production systems
• Solid understanding of system design and clean architecture
• Hands-on experience with Docker and Linux
• Experience deploying to AWS or Azure
• Experience integrating LLM APIs into applications
• Experience with embeddings / vector databases / RAG pipelines
• Strong Git and collaborative development workflows
• Ability to operate independently in ambiguous environments

Most importantly:

• Strong engineering fundamentals
• High ownership mindset
• Comfort using AI tools to move fast
• Discipline to maintain structure and quality

Good-to-Have

• Experience with real-time streaming or WebSockets
• Kubernetes deployment experience
• Experience in a fast-paced startup or consulting environment
• Familiarity with agent frameworks or voice/multimodal systems

Screening Requirement

Please include:

• A portfolio of systems you’ve built (especially AI-enabled systems), and
• A short note explaining how you use AI tools in your development workflow.

We are specifically looking for engineers who lean into AI agents and coding assistants, but still understand architecture, performance, and clean code.

At Webcyper Pvt Ltd, we are a growing technology company building innovative web solutions for our clients. We focus on delivering high-quality digital products, and we’re on a mission to scale our operations with talented, passionate individuals.

If you're a problem solver, love clean code, and are excited to work in a fast-paced startup environment — we want to hear from you!

Key Responsibilities:

Develop, test, and maintain high-quality web applications using Python and Django framework.

Work closely with frontend developers and designers to implement user-friendly interfaces.

Integrate third-party APIs and services.

Write clean, reusable, and efficient code.

Optimize applications for speed and scalability.

Troubleshoot, debug, and upgrade existing applications.

Participate in code reviews and technical discussions.

Stay up-to-date with emerging trends and technologies in backend development.

GetSupp is looking for a Software Engineer to join its core team. You will be a key member of our team and will develop applications that help simplify a user's health discovery journey.

You will be responsible for the end-to-end development & execution of our core product offerings.

• Own & execute critical features end-to-end and work directly with the founding team to drive customer impact
• Ideate & help design features keeping in mind the scale and high availability of systems
• Develop, test and release schedule critical, high-quality features that will help build a polished product
• 2+ years of hands-on programming experience in Python language
• Experience with application development using Django or Flask
• Experience with MySQL / Postgres / NoSQL and hold a solid understanding of database design concepts
• Experience in API Design with REST & GraphQL
• Experience with caching methodologies using Memcached or Redis
• Experience with search technologies such as Elasticsearch, Lucene or Solr is a plus
• Experience with deployment and infra management using AWS, Azure or GCP is a plus
• A degree in Computer Science/Engineering or an equivalent degree

About us:

HappyFox is a software-as-a-service (SaaS) support platform. We offer an enterprise-grade help desk ticketing system and intuitively designed live chat software.

We serve over 12,000 companies in 70+ countries. HappyFox is used by companies that span across education, media, e-commerce, retail, information technology, manufacturing, non-profit, government and many other verticals that have an internal or external support function.

To know more, Visit! - https://www.happyfox.com/

We’re looking for an experienced Backend Engineer to join our growing team of engineers to help build and maintain our products. You should have prior experience being responsible for building sufficiently complex features by yourself. 

Responsibilities:

• Implement product features by writing clean, robust, reusable code with tests
• Bring new ideas and best practices to improve the team and the codebase

Requirements:

• At least 3 years of relevant professional experience
• Sound knowledge of programming languages like Python
• Experience working with web application frameworks like Django
• Experience in building web services using relational databases like PostgreSQL or NoSQL databases like MongoDB
• Experience developing REST APIs and a good understanding of best practices around building APIs
• Good communication skills
• Passion to solve complex technical problems and troubleshoot the issue

Responsibilities:

• Build scalable, service oriented web applications from scratch for technology products for European market.
• Maintain these applications for accuracy and high availability.
• Continuously identify opportunities to improve system designs, architecture and implementation standards
• Participate with founding, business and product teams in discussions on how to build and launch new modules.
• Collaborate across functions and own the planning, estimation and execution for parts of the product.
• Start as an individual contributor but stay ready to build and mentor a small team of up to 5 engineers over the coming months and years.
• Contribute in hiring highly ambitious engineers as the team grows.
• Being among the first people on the engineering team, be a culture driver.

Requirements:

• Experience of architecting and building products/business critical backend applications using different MVC frameworks.
• Experience with microservices.
• Experience of building and maintaining scalable applications using Node.js/MEAN stack.
• Experience of deploying and maintaining web applications.
• Experience with non relational databases like MongoDB.
• Understanding of relational databases like MySQL.
• Familiarity with REST APIs and stress testing tools.
• Good communication skills.

• Exposure in building polyglot applications.
• Exposure for devops and related processes, preferably GCP.
• Knowledge of components in scalable solutions i. e. database partitions, message brokers, background processing.
• Exposure to basic frontend technologies to speed up collaboration with the frontend team.