Backend Developer - Python Django

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.

Must have exp in Django. [ Mandatory]

• The ability to problem-solve and critically think.
• High level of knowledge of Python and the Django framework.
• Familiarity with event driven programming as well as the MVC.
• Good understanding of SQL databases.
• Good understanding of REST APIs.

Job Description:

1. Experience in Core Java, Spring Boot.
2. Experience in microservices.
3. Extensive experience in developing enterprise-scale systems for global organization. Should possess good architectural knowledge and be aware of enterprise application design patterns.
4. Should be able to analyze, design, develop and test complex, low-latency client-facing applications.
5. Good development experience with RDBMS in SQL Server, Postgres, Oracle or DB2
6. Good knowledge of multi-threading
7. Basic working knowledge of Unix/Linux
8. Excellent problem solving and coding skills in Java
9. Strong interpersonal, communication and analytical skills.
10. Should be able to express their design ideas and thoughts.

About Wissen Technology:

Wissen Technology is a niche global consulting and solutions company that brings unparalleled domain expertise in Banking and Finance, Telecom and Startups. Wissen Technology is a part of Wissen Group and was established in the year 2015. Wissen has offices in the US, India, UK, Australia, Mexico, and Canada, with best-in class infrastructure and development facilities. Wissen has successfully delivered projects worth $1 Billion for more than 25 of the Fortune 500 companies. The Wissen Group overall includes more than 4000 highly skilled professionals.

Wissen Technology provides exceptional value in mission critical projects for its clients, through thought leadership, ownership, and assured on-time deliveries that are always ‘first time right’.

Our team consists of 1200+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like Wharton, MIT, IITs, IIMs, and NITs and with rich work experience in some of the biggest companies in the world.

Wissen Technology offers an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.

We have been certified as a Great Place to Work® for two consecutive years (2020-2022) and voted as the Top 20 AI/ML vendor by CIO Insider.

We’re looking for a Java Backend Developer with strong experience in Spring Boot, AWS, and Microservices to join our growing team. If you're passionate about scalable backend systems and love working in a fast-paced environment, we want to hear from you!

What You’ll Bring:

• 4+ years of backend development experience
• Strong hands-on expertise in Core Java and Spring Boot
• Experience designing and developing Microservices architecture
• Solid working knowledge of AWS services
• Familiarity with RESTful APIs, version control (Git), and CI/CD
• Strong problem-solving and debugging skills
• Ability to work independently and in a collaborative team environment
• Immediate joiners are highly preferred

The tech stack looks like the below (expect this to change as we scale):

1. Typescript for APIs (REST and GraphQL)
2. Kafka, Spark, and data warehouses for ML pipelines (spark on python/scala)
3. Solidity + hardhat for smart contracts (in the future, rust, go and move)
4. AWS & Terraform
5. Full nodes

You can expect to do some or all of the following:

1. Read through protocols’ whitepapers and smart contracts to derive metrics and analyze risks
2. Architect the backend for APIs, async jobs, and blockchain integration
3. Build clean, concise APIs for customer integration, along with the documentation
4. Setup, run and maintain full and archive nodes across different chains
5. Integrate with multiple partners like exchanges and custody providers
6. Fool-proof security across the stack - encryption, hashing, privacy, VPC, etc.
7. Infrastructure as code - build terraform scripts and ensure easy replication of the infra across different regions
8. Research the top DeFi protocols to uncover better insights for our customers and evaluate their risk profiles, security, and historical returns
9. Manage production deployments, logging, and monitoring

We expect you to be fairly comfortable with working with both web3 and web2 stacks. We do not expect that you have web3 experience on day 1, but you should be willing to wear multiple hats, learn things quickly and move fast.

1. Generalist, a solid engineer who can learn things on your own and have an eye for clean, tested, and well-documented code
2. We don’t look at the number of years of work experience as a criterion, but rather see what you have done in your life so far (side projects, open-source contributions, blogs, etc.). We don’t care about degrees, the institutions you went to, or the companies you worked for before. We are open to talking as long as you have good judgment, great clarity, align with our values and have a strong track record of thoughtful work
3. Understand the fundamentals of building and integrating APIs and secure systems. Bonus if you know a bit about blockchains and protocols
4. You can be strong on the backend, front-end, or can dabble everywhere. We want you to play to your strengths and will provide enough opportunities to learn and do things outside of your comfort zone

Pay and benefits We offer a solid, competitive package (including early-stage equity) that is location agnostic. We give you the flexibility to choose the split between cash and equity.

Responsibilities:

 Develop and maintain high-quality, scalable, and efficient Java codebase for our ad-serving platform.

 Collaborate with cross-functional teams including product managers, designers, and other developers to

understand requirements and translate them into technical solutions.

 Design and implement new features and functionalities in the ad-serving system, focusing on performance

optimization and reliability.

 Troubleshoot and debug complex issues in the ad server environment, providing timely resolutions to ensure

uninterrupted service.

 Conduct code reviews, provide constructive feedback, and enforce coding best practices to maintain code quality

and consistency across the platform.

 Stay updated with emerging technologies and industry trends in ad serving and digital advertising, and integrate

relevant innovations into our platform.

 Work closely with DevOps and infrastructure teams to deploy and maintain the ad-serving platform in a cloud- based environment.

 Collaborate with stakeholders to gather requirements, define technical specifications, and estimate development

efforts for new projects and features.

 Mentor junior developers, sharing knowledge and best practices to foster a culture of continuous learning and

improvement within the development team.

 Participate in on-call rotations and provide support for production issues as needed, ensuring maximum uptime

and reliability of the ad-serving platform.

Required Skills:

• 4+ year of experience in Development in JAVA technology.
• Strong Java Basics
• SpringBoot or Spring MVC
• Hands on experience on Relational Databases (SQL query or Hibernate) + Mongo (JSON parsing)
• Proficient in REST API development
• Messaging Queue (RabitMQ or Kafka)
• Microservices
• Any Caching Mechanism
• Good at problem solving

Good to Have Skills:

• 4+ years of experience in using Java/J2EE tech stacks
• Good understanding of data structures and algorithms.
• Excellent analytical and problem solving skills.
• Ability to work in a fast-paced internet start-up environment.
• Experience in technical mentorship/coaching is highly desirable.
• Understanding of AI/ML algorithms is a plus.

Our client is a rapid growth stage Edtech start-up focused on solving the teacher shortage crisis in the US education system using technology by bringing teachers to the classrooms and giving them access to the right tools to teach students in a highly engaging manner.

They have a development center in Mumbai and they are looking to scale up the teams in Pune and Bangalore as well.

What does the role entail:

● Lead User Stories and guide senior/software engineers in the development process

● Understand architecture principles, design patterns and implement them from architectural artifacts.

● Provide effort estimation of assigned work and be able to complete as per the estimations and timelines

● Write clean, maintainable, and efficient code including unit tests and integration tests to ensure software quality

● Collaborate with cross-functional teams to analyze requirements, design solutions, and implement new features

● Participate in design and code reviews

● Ability to resolve performance issues

● Mentor junior software engineers and help them grow their technical skills

Must Have Skills:

● B.E/B.Tech in computer science

● 8-11 years of experience

● Hands-on experience following skills

MS Technologies: NET CORE 5+, C#

Backend : MSSQL /MySQL/Postgres 

● Good understanding of Cloud technologies like Azure/AWS.

● Good understanding of Design Principles, Design patterns and Microservices Architecture.

● Excellent problem-solving, critical thinking, and communication skills

● Worked in an Agile software development environment

Must understand full stack development frameworks including knowledge of building scalable APIs, interfaces, software components, schema design, availability, and latency preferably in a cloud environment.

● Worked in a fast-paced environment preferably in a tech driven startup

● Understanding of different types of architectures.

• Qualification: BE / B.Tech / ME / M.Tech
• You must have Experience of 3 - 7 years
• You must be proficient in Embarcadero Delphi10.3 or above Framework, Object oriented programing, clean code, Design patterns, Dependency Injection, Multithreaded programming
• Experience in cloud technology and mobile development
• Experience in using below libraries or equivalent
• DMVC Framework
• Mars Curiosity
• Developer Express
• FireDAC, ADO framework, TMS Aurelius
• Spring4d
• FMX Technology
• Knowledge on Cloud computing, IoT, Java script, Type script, Angular
• Good understanding of DevOps
• Experience in using ALM/Configuration management tools e.g. GIT
• Prior work experience in SQLite required
• You must be conversant with Agile software development processes / methodologies

What You Need to Succeed

• As a Delphi developer, you will understand, analyze and implement the requirements
• Create world class products using your knowledge in Delphi Framework and Libraries, OOPS programming skills, Design principles patterns
• Work with technologies : Cloud computing, IoT, Java script, Type script, Angular, Java
• Design, development and testing of new features in the applications
• Design implement DevOps Best practices, establish standards and policies for managing source code and continuous integration/delivery
• Responsible for regular communication with others involved in the development process
• Implement, test, and bug-fix functionality
• Participate as a team member in fully agile Scrum deliveries
• Experience in working with international environment with a multicultural team
• Exhibit excellent team spirit and good in communication

Role – Technical Architect

ZipLoan is looking out for a strong technology leader of Software Product Engineering, with a Technical Experience of about 12+ years, and hands-on experience in Software Product Development and ownership. You will head our Platform team which will be tasked with building ZipLoan's platform layer along with a set of engineers reporting to you.

Role:

1. Understand the business end-to-end in order to drive a use-case driven architecture.
2. Identify parts of the code-base which can be made reusable as modules or services.
3. Propose architecture improvements to provide reliability and robustness at scale.
4. Provide a roadmap for evolution of the technology ecosystem.
5. Identify and erase technical debt.
6. Provide consultancy to engineering teams on specific design challenges.
7. Propose engineering best practices and help teams in adopting them.

1. 12 years min experience in core software development.
2. Hands-on experience building consumer Web/mobile apps at scale.
3. Strong exposure to open-source technology – Python and other languages,

Linux, SQL and NoSQL databases, Web development frameworks

1. Strong architecture skills.
2. Ability to mentor engineering team members effectively.
3. Preferably a strong full-stack engineer or at least strong backend skills with some front-end skill.