Senior Python developer +AWS

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 DETAILS:

* Job Title: Lead I - (Web Api, C# .Net, .Net Core, Aws (Mandatory)

* Industry: Global digital transformation solutions provide

* Salary: Best in Industry

* Experience: 6 -9 years

* Location: Hyderabad

Job Description

Role Overview

We are looking for a highly skilled Senior .NET Developer who has strong experience in building scalable, high‑performance backend services using .NET Core and C#, with hands‑on expertise in AWS cloud services. The ideal candidate should be capable of working in an Agile environment, collaborating with cross‑functional teams, and contributing to both design and development. Experience with React and Datadog monitoring tools will be an added advantage.

Key Responsibilities

• Design, develop, and maintain backend services and APIs using .NET Core and C#.
• Work with AWS services (Lambda, S3, ECS/EKS, API Gateway, RDS, etc.) to build cloud‑native applications.
• Collaborate with architects and senior engineers on solution design and implementation.
• Write clean, scalable, and well‑documented code.
• Use Postman to build and test RESTful APIs.
• Participate in code reviews and provide technical guidance to junior developers.
• Troubleshoot and optimize application performance.
• Work closely with QA, DevOps, and Product teams in an Agile setup.
• (Optional) Contribute to frontend development using React.
• (Optional) Use Datadog for monitoring, logging, and performance metrics.

Required Skills & Experience

• 6+ years of experience in backend development.
• Strong proficiency in C# and .NET Core.
• Experience building RESTful services and microservices.
• Hands‑on experience with AWS cloud platform.
• Solid understanding of API testing using Postman.
• Knowledge of relational databases (SQL Server, PostgreSQL, etc.).
• Strong problem‑solving and debugging skills.
• Experience working in Agile/Scrum teams.

Good to Have

• Experience with React for frontend development.
• Exposure to Datadog for monitoring and logging.
• Knowledge of CI/CD tools (GitHub Actions, Jenkins, AWS CodePipeline, etc.).
• Containerization experience (Docker, Kubernetes).

Soft Skills

• Strong communication and collaboration abilities.
• Ability to work in a fast‑paced environment.
• Ownership mindset with a focus on delivering high‑quality solutions.

Skills

.NET Core, C#, AWS, Postman

Notice period - 0 to 15 days only

Location: Hyderabad

Virtual Interview: 7th Feb 2026

First round will be Virtual

2nd round will be F2F

The key aspects of this role include:

• Design, build, and maintain scalable applications using Python.

• Contribute to the entire implementation process including driving the definition of improvements based on business need and architectural improvements.

• Act as a subject matter expert for Application Software developers and Engineers.

• Handle server-side code for a production platform and contribute to new features

To be the right fit, you'll need:

• More than 4+ years of experience as a software developer in Python, with knowledge of at least one Python web framework such as Django, Flask, etc.

• Good understanding of common design patterns and architecture principles to design reliable and Scalable applications

• Strong communication skills

• Knowledge of databases line NoSQL or MongoDB

• Good to have AWS and Docker or Web services

• Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS

What kind of work will you get?

We are looking for a Python developer.

Examples of technical tasks:

Working on our backend SDK to implement APIs that will be consumed by the frontend widgets

Designing APIs for different auth recipes

Architecting auth flows

You will also be given non technical tasks like product brain storming, competitor analysis and writing documentation.

Note: Compensation is as per the applicant's geography

Requirements

Well versed in Python with 2+ years of professional experience

Familiar with and comfortable working with Web frameworks like FastAPI, Django and Flask

Familiar with HTTP networking in Python

Strong understanding of async and sync modes in Python

Bonus:

Contributed to open source, or have your own open source repo with a community and many github stars

Built an in-house authentication or authorization solution or worked with solutions such as Keycloak, Auth0, Ory, Okta etc

Role- Node.js Developer

Job description:

- Nodejs), MySQL, Postgre SQL
- Working experience of GIT
- Will prefer candidates preferred who have knowledge of GraphQL, Typescript
 - Well versed and experienced with unit testing, code coverage.
- Well versed with SOILD design principles and its application
- Good to have – some experience with Azure devops and/or azure functions.
- Good knowledge of designing and writing restful API

Requirements 

•  3-5 years of experience working on Python Environment

•  Knowledge on software development methodologies and being able to work on projects individually or as part of a team. Should be able to work with AGILE methodology
•  Knowledge of relational databases, version control tools and other development tools
•  Understanding of the threading limitations of Python, and multi-process architecture
•  Understanding of accessibility and security compliance
•  Strong interest in learning new skills/technologies and curiosity to explore various Technologies.

•  Should have strong analytical skills
•  Good communication
•  Able to integrate multiple data sources and databases into one system
• Understanding of the differences between multiple delivery platforms, such as mobile vs desktop, and optimizing output to match the specific platform

Must Required Skills:

• Python 2/3
•  should have worked on one or more major Python web frameworks like Django.
• Worked with APIs development, integration of third-party APIs
• Working knowledge of MySQL databases integration with Python Environment.

Strong expertise in AWS architecture, deployment and coding using Python and AWS Lambda functions. She/ he should also have experience with NOSQL database like MongoDB/ DynamoDB and exposure to Machine Learning. She/ he should be familiar with Ajax calls, interaction with API using JSON files and xml.

Knowledge of testing tools like JMeter and Selenium and programming languages like Javascript and Dot Net will be a big advantage.
The person should be able to guide junior resources, perform code reviews and solve performance issues as required.