Jr. 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.

👉 Job Title: Backend Developer

🌟 Experience: 5-7 Years

💡Location: Bangalore

👉 Notice Period :- Immediate Joiners

💡 Work Mode - 5 Days work from Office

( Candidate Serving notice period are preffered)

Role Summary

We are looking for a Backend Engineer to join the Platform Implementation Team, responsible for building scalable, secure, and high-performance backend systems for a multi-cloud Data & AI platform. You will design microservices, develop REST APIs, and enable seamless data integration across enterprise systems like CRM and ERP.

💫 Key Responsibilities

✅ Design and develop scalable microservices and RESTful APIs

✅ Build event-driven architectures for asynchronous processing

✅ Integrate backend systems with cloud platforms (GCP/Azure)

✅ Ensure secure, reliable, and optimized data handling

✅ Collaborate with cross-functional teams (UI, Data, Platform)

✅ Follow best practices in coding, testing, CI/CD, and containerization

💫 Mandatory Skills (Top 3)

✅ Strong backend programming experience (Python / Node.js / Java)

✅ Expertise in API development & Microservices architecture

✅ Hands-on experience with Cloud platforms (GCP or Azure)

Responsibilities

• Ideate, execute & take ownership of complete project from scratch
• Create and design User-focused focused SAAS with high end experience  
• Optimize existing architecture for performance, scalability & functionality 
• Generate modular & clean codes 
• Deploy & maintain project’s infrastructure with zero downtime 

Skill Sets

• Sharp communication skills 
• Fluent in Problem Solving, Data Structures And Algorithms
• Strong in Java Spring Boot & Python Django languages & frameworks
• Experience with database design & familiar with RDBMS database like Postgresql as well as no SQL databases 
• Good with writing unit test cases & integration test cases 
• Well versed in writing Asynchronous codes or technologies
• Exposed to various AWS technologies like EC2, Cognito, API Gateway,ECS etc.
• Exposed to Pub-sub technologies like SQS,Kafka, RabbitMQ, etc. 
• Familiar with caching tools like Redis, HazleCaste, etc. 
• Exposure to DevOps and Big Data is a plus.

DUKAAN - Create Your Online Store in 30 Seconds

Dukaan is an app that allows offline businesses to sell their products and services online. On our app, the users can make beautiful product catalogues (catalogs) right from a smartphone and share with their customers easily on different social media apps such as Whatsapp Business, Whatsapp, Facebook, Instagram etc. Praised by users all over India, this app has saved declining businesses by helping them transfer their shop online. The journey has just begun and we are on a mission to make India truly Digital.

Dukaan is currently powering over 5M ecommerce stores built by indian small businesses and growing at a crazy rate.  

We are looking for a Backend Engineer to join our team who will be part of our new innovations team.

Requirements:

1. Strong knowledge of Django, Django Rest Framework and their design principles.
2. Strong knowledge of Django ORM, should be able to leverage it to write complex and optimized queries (E.x Q queries, Case, When, Select related, prefetch related, Subqueries, Annotations, Aggregations, Filtering, etc.) .
3. Should be able to override DRF serializers, filters and viewsets completely according to needs.
4. Should have good experience in Class Based Views to write the backend API’s.
5. Sound knowledge of database design patterns and modelling them to Django models.
6. Sound knowledge of how to write test cases for the APIs.
7. Should be able to write optimized pythonic code adhering to python PEP standards.
8. Strong knowledge of python packaging and how to architect a code base that should be easily scalable and not get cluttered.
9. Strong knowledge of REST API design patterns.
10. Ability to write RAW sql queries and further database level coding will be a plus.
11. Good Understanding of python’s asyncio, threading and multiprocessing library, their benefits and limitations along with their appropriate use cases.
12. Hands on knowledge of celery and its corresponding message broker such as RabbitMQ, Redis, etc.
13. Experience with building a CDC(Change Data Capture) pipeline will be a plus.
14. Experience with Apache Kafka, Kafka connect and Debezium will be a plus.
15. Experience with open source will be a plus.
16. Good knowledge of Algorithms and data structures.

Responsibilities:

1. Understand the ins and out of existing codebase and have a good grasp over it.
2. Write clean, stable and scalable code.
3. Write unit test cases for the APIs.
4. Do whitebox and blackbox testing for your own code and as well as others if required.
5. Understand and implement fast prototype solutions for the business needs.

As a software engineer, you will be the part of a team that focuses on building software applications that scale well. You will play a significant role in shaping our software architecture that provides measurable customer value. You understand both technology and business to know the right trade-offs to make. You will be a technical mentor for your team members. You will work closely with your peers, managers, product, design, and operations teams to create solutions that meet business requirements. You will drive engineering and operational excellence across Scatter. You will collaborate with other engineers to surface common pain points, develop solutions and evangelize best practices.

Qualifications:

2-3 years of professional software engineering experience building customer-facing web and/or mobile applications Strong coding skills using Python, Django, is mandatory. Knowledge on Html, Css, React Js, Jquery, Bootstrap or equivalent programming language is added advantage Graduated from Tier 1 or Tier 2 engineering colleges Excellent knowledge of Data Structures and Algorithms Bachelor or Master degree in Computer Science or a related discipline Experience working in an agile environment Self-quick learner and passionate problem solver Excellent debugging and troubleshooting skills, with an enthusiastic attitude to support and resolve customer problems Good oral and written communication skills Above all, an insatiable desire and ability to learn

Nice to have skills:

Experience with large-scale SaaS applications Experience building web and mobile applications Experience designing services on top of cloud infrastructure like AWS, Azure, etc Prior experience in building product from 0-1

Benefits

Ownership and autonomy to drive customer and culture initiatives Opportunity to get mentored and mentor junior engineers Remote work

YOUR RESPONSIBILITIES

• Development and unit testing of web applications including back-end (microservices), maintenance & level 3 support of the same
• Assist Project Managers, Business Analysts, and Tech Lead in project planning (provide estimates, risk analysis, requirements analysis, technical options)
• Software Architecture
• Involvement in full life cycle of projects (including requirement analysis and system design, development and support if required)
• Support and work collaboratively with teams across areas of design, development, quality assurance and operations
• Commit your knowledge and experience into team success
• A small amount of travel (when needed) to work with other offices
• Attend meetings to discuss and demonstrate solutions at both technical and business level

 REQUIRED SKILLS AND EXPERIENCE                                                                                                           

• 5+ years web application development experience
• 3+ years developing with Python
• 3+ years developing with C# and .NET Framework 4.x
• Experience with ASP.NET MVC, ASP.NET WebAPI 2, LINQ, and WCF
• Dependency Injection and other common ASP.NET MVC design patterns
• Experience with API design and development using REST
• Experience with performance optimization
• Experience integrating security best practices into the SDLC
• Experience with object-oriented programming (OOP) and OOP patterns
• Experience with Git
• 1+ years of Agile development experience
• Experience manipulating and working with data in a variety of forms: csv, xml, json, structured and unstructured                                                                                                
• Experience with SQL database schema design and querying. Microsoft SQL Server and PostGreSQL are used and preferred.

DESIRABLE SKILLS AND EXPERIENCE                                           

• Knowledge of JIRA, Bamboo, Confluence, or BitBucket is a plus.
• Experience with a JavaScript MVVM library such as Web Components, knockout.js, Angular, React, etc. is a plus (Web Components and knockout.js are used and preferred)
• Experience with HTML5/CSS3/JavaScript/ and AJAX is a plus
• SPA (Single Page Application) design and implementation is a plus
• Experience with any ORM such as Entity Framework or NHibernate is a plus (NHibernate is preferred)
• Experience with TypeScript is a plus
• Experience with MS Build is a plus
• Experience with CI/CD is a plus
• Experience with Object Mapping Frameworks (AutoMapper, etc) is a plus
• Understanding of OOD, DDD and TDD is a plus
• AWS-based development is a plus
• Knowledge of Flask is a plus.

PERSONAL SKILLS

• Clever personality
• Strong spirit skills set: conflict resistant, self -motivated, result-oriented, responsible, honest, “open”, courageous