Senior Python/Django 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.

JD: Elixir Developer- Trading & Fintech

About Us:

Tradelab Technologies Pvt Ltd is not for those seeking comfort—we are for those hungry to make

a mark in the trading and fintech industry. If you are looking for just another backend role, this

isn’t it. We want risk-takers, relentless learners, and those who find joy in pushing their limits

every day. If you thrive in high-stakes environments and have a deep passion for performance

driven backend systems, we want you.

About the Role

We’re looking for an Elixir Developer who is passionate about building scalable, high

performance backend systems. You’ll work closely with our engineering team to design,

develop, and maintain reliable applications that power mission-critical systems.

Key Responsibilities

• Develop and maintain backend services using Elixir and Phoenix framework.

• Build scalable, fault-tolerant, and distributed systems.

• Integrate APIs, databases, and message queues for real-time applications.

• Optimize system performance and ensure low latency and high throughput.

• Collaborate with frontend, DevOps, and product teams to deliver seamless solutions.

• Write clean, maintainable, and testable code with proper documentation.

• Participate in code reviews, architectural discussions, and deployment automation.

Required Skills & Experience

• 2–4 years of hands-on experience in Elixir (or strong functional programming background).

• Experience with Phoenix, Ecto, and RESTful API development.

• Solid understanding of OTP (Open Telecom Platform) concepts like GenServer, Supervisors, etc.

• Proficiency in PostgreSQL, Redis, or similar databases.

• Familiarity with Docker, Kubernetes, or cloud platforms (AWS/GCP/Azure).

• Understanding of CI/CD pipelines, version control (Git), and agile development.

Good to Have

• Experience with microservices architecture or real-time data systems.

• Knowledge of GraphQL, LiveView, or PubSub.

• Exposure to performance profiling, observability, or monitoring tools.

Why Join Us?

• Work with a team that expects and delivers excellence.

• A culture where risk-taking is rewarded, and complacency is not.

• Limitless opportunities for growth—if you can handle the pace.

• A place where learning is currency, and outperformance is the only metric that matters.

• The opportunity to build systems that move markets, execute trades in microseconds, and redefine

fintech.

This isn’t just a job—it’s a proving ground. Ready to take the leap? Apply now.

What We’re Looking For:

• Strong experience in Python (5+ years).
• Hands-on experience with any database (SQL or NoSQL).
• Experience with frameworks like Flask, FastAPI, or Django.
• Knowledge of ORMs, API development, and unit testing

We are looking for a Rust Developer to join our cutting-edge development team as it grows. The candidate must be comfortable working in an agile environment and can take the lead when necessary.

Responsibilities:

• Responsible for developing the product as per the product specification defined by the product managers
• Responsible for performing research on the best methods of implementing the requirements
• Author and curate technical documentation to support delivery, maintenance, and adoption
• Work with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise governance strategies to optimise the overall performance
• Design and develop automated deployment and maintenance mechanisms
• Solving development challenges and making architectural decisions by understanding the larger picture of the project goals
• Expanding your existing skill set, and picking up on various rust-dependent frameworks
• Confidently communicating and collaborating with your fellow developers in an office set-up.

Requirements:

• Must have experience in Rust programming language
• Have excellent knowledge of different data structures and algorithms
• Working knowledge of any other programming language Python, Java, or JavaScript is good to have
• Experience with, or understanding of, Kafka or Redis, Cloud infrastructure services, and Docker is an added advantage
• Experience with SQL or NoSQL databases, MySQL, MongoDB, Elasticsearch, etc.
• Experience in Backend and APIs development
• Experience in analysing and optimising the platform's performance

Responsibilities

• Develop, deploy, and maintain scalable products
• Participate in code reviews, and design discussions to ensure code quality and distribute knowledge
• Pair with team members for functional and non-functional requirements to write well-crafted, well-tested, readable, and maintainable code.
• Help to define roadmap and architecture based on technology and business needs
• Understand business requirements and work closely with the business to provide solutions

Eligibility

• Strong expertise in Backend Python Development with skills to create APIs, integrate the functions into UI, and store and retrieve data from a variety of databases.
• Strong experience with Django/Flask.
• Strong experience in writing unit tests.
• B.Tech/B.E (Preferred CSE)

Job Responsibilities

• Should have experience in Software Product Development at an enterprise level.  .
• Analyze requirements and come up with possible solutions to solve the problem, evaluating and capturing necessary tradeoffs
• Build and improve newest services and ensure that they are well tested and released quickly and often to our customers
•  Debugging capabilities and identify the root cause of the problem and fix them.
•  Influencing the architecture of an application. 
•  Design and implement cloud based high-performance, highly available services to cover customers’ high demands and big data volumes 
•  Maintain rapid deployment pipelines and observability of the services to support operations/troubleshooting. 
•  Think about security of the whole technical stack and processes to ensure customers’ data is safe 
•  Take care of all aspects of the product: from implementation, through testing, to operations.

Job Requirements

• Proficiency in Python programming
• Mandate experience working as a Python Developer with Django.
• Should have good experience in Flask, numpy and pandas
• Should have good experience in REST API development with Django.
• Have In-depth understanding of Object Oriented Programming ( OOPs ) concepts.
• Are Able to create Database Schemes that represent and support business processes.
• Should have good understanding of Agile frameworks such as Git, Jenkins etc.
• Must have experience working on MySQL, HTML, CSS, JavaScript & jQuery.
• Must have experience with Web Servers e.g. Nginx, Apache.
• Good to have AI/ML/Data science certification.
• Must be a fast learner and comfortable teaching yourself new skills and can thrive in a complex and fast-paced environment.
• Positive attitude and excellent communication as well as written skills

Roles and Responsibilities:

• Combine excellent abstract reasoning ability to document, architect, develop and test software with the commitment to excellence/defect free before being deployed.
• Write and implement low latency applications & software solutions that integrate with different systems.
• Rapidly incorporate new technologies as required & deliver successfully by self.
• Work closely with mentors, team members, team leads, program managers and stakeholders to investigate, fix, optimize, test and deploy high quality solutions.
• Drive the technical design, implementation and maintenance of larger tech initiatives geared toward improving and scaling of products.
• Accurately schedule & and track progress of self & team members. Create end to end Work Breakdown & estimates for modules being implemented.
• Participate in planning & recognizing inconsistencies (e.g., scope, resources, feasibility, usability, customer value, etc.) in product requirements and alert the Project Mentor. Handle independently or assist the Mentor in building, testing, and documenting product releases.
• Support the team in deploying product functionality & assist the TLs in troubleshooting in the production environment.
• Proactively promote Tech Culture by writing blogs, making presentations which will help you learn & grow.
• Effectively communicate one-on-one with on-shore / off-shore product teams / developers; gather and clarify requirements from technical folks / product managers / business teams.
• Proactively assist and serve as a role model for the team members to follow the team software development process; consistently innovate the team processes to improve team productivity and quality.

Skill Set:

• Strong Analytical, Problem Solving Skills and participates in all activities with urgency, a results orientation, and a strong work ethic.
• Must have technical knowledge of Python.
• Must have hands-on experience in developing Restful APIs and Web Services.
• Knowledge of Django (or any other established Python web frameworks) would be a plus.
• Knowledge of Angular or React or similar technologies would be an added advantage.
• Strong experience with relational (PostgreSQL, MySQL) and/or NoSQL databases.
• Experience with unit testing and test-driven development.
• Experience working with Linux/Unix Operating system & comfortable with command line.
• Experience with modern software engineering workflows and tools (e.g. Agile, JIRA, Git, CI/CD, Amazon Web Services, Observability and Monitoring tools like ELK, Datadog, NewRelic, etc.).
• Experience in all areas of SDLC, including architecture and design, development, and testing.
• Extremely passionate about code reviews, engineering best practices and mentoring/coaching the developers to make them successful.
• Excellent understanding of feature estimation and ability to communicate issues and risks that may impact timelines, budget, or resources.
• Experience with Agile development lifecycle.
• Can gather and clarify requirements from technical folks / product managers / business teams.
• Lead by example & act as a role model for the team.

How will you grow here:

• Work in multiple projects & teams spread across different domains and technologies.
• Work & interact directly with senior directors in an open and flat hierarchical structure.
• You can own all aspects of leading software products and projects.
• You get to work with top-notch engineers and leaders with decades of experience in building and delivering great software.
• Work with CXOs / Senior Directors of various emergent companies in US & India.
• Get involved with the newest products, latest technologies and different methodologies.
• Opportunity to Mentor the Best and Get Mentored by the Best.

• Events, activities and outings aplenty (We really party hard!).
• A stimulating and energetic work environment which encourages creativity.
• Hackathons, Gaming Evenings, Poker Nights and much more!
• Flexible Timings, Flexible Holiday Calendar, Work from Home Option.
• Competitive salary (best in the industry).
• Beverages and snacks throughout the day, on the house!
• Recreation center to let off some steam.
• Office lunch option (fresh and savoury ghar ka khana).
• Medical Insurance (stay healthy, stay happy)