Python Lead

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: Engineering Lead

Role Overview:

We are looking for an Engineering Lead to take end-to-end ownership of technical delivery, design, architecture, and quality for our multi-customer SaaS product. You will lead and mentor the engineering team, drive scalable design and high-quality delivery, manage releases across customer environments, and ensure the stability and performance of the product in production.

Key Responsibilities:

·        Delivery & Release Management: Plan and deliver product features and customer-specific releases on time with high quality, ensuring operational readiness and stability across environments.

·        Technical Design & Architecture: Lead technical design and high-scale architecture for new and existing modules, ensuring scalability, performance, and maintainability.

·        Team Management: Mentor and guide engineers, ensure clarity in priorities, unblock challenges, and foster a culture of ownership and quality within the team.

·        Requirement to Delivery: Work with product and customer teams to understand requirements, translate them into designs and implementation plans, and track them through to delivery.

·        Product Quality: Establish and maintain engineering best practices, code reviews, automated testing, and CI/CD pipelines to ensure high product quality and reliability.

·        Troubleshooting & Support: Lead the team in debugging complex issues in development and production, ensuring minimal downtime and strong customer satisfaction.

·        Hands-on Contribution: Actively contribute technically where needed, providing architectural guidance and coding support aligned with the team’s stack.

Requirements:

·        Experience: 8–12 years in software engineering with at least 3+ years in a lead role.

·        Proven experience in designing scalable, high-performance architectures and technical solutions.

·        Experience delivering multi-customer SaaS product releases, including phased and customer-specific configurations.

·        Strong track record of ensuring product quality and stability through structured processes, testing, and monitoring.

·        Ability to troubleshoot complex issues and guide teams towards resolution.

·        Experience in mentoring and managing engineering teams to drive aligned delivery and high performance.

·        Hands-on experience with your relevant tech stack (e.g., Python, Django, Angular, AWS, Docker, Redis, RabbitMQ).

·        Excellent communication and collaboration skills with Product, QA, and Customer Support teams.

·        Bachelor’s or Master’s degree in Engineering or related field.

Job Title: Backend Developer - Fintech

Responsibilities:

• Architect and Develop: Design, build, and maintain secure, scalable, and efficient RESTful APIs using Django Rest Framework, ensuring compliance with regulatory requirements.
• Collaborate: Work closely with cross-functional teams to gather requirements and translate them into technical specifications and actionable plans.
• Debug and Resolve: Identify and fix backend issues and bugs, ensuring a seamless user experience for financial applications.
• Optimize Systems: Continuously enhance backend systems for performance, scalability, and resource efficiency.
• Code Quality: Uphold high standards of code quality, organization, and implement automated testing processes to meet industry standards.
• Stay Updated: Keep abreast of fintech industry trends, technological advancements, and regulatory updates to continually improve backend architecture.

Requirements:

• Experience: 5+ years of proven experience in backend development with a strong skill set in Python and Django.
• API Development: Extensive experience in developing secure and compliant RESTful APIs using Django Rest Framework.
• Database Proficiency: In-depth knowledge of MySQL for database design, optimization, and maintenance; experience with MongoDB is a plus.
• DevOps: Proficiency in DevOps practices, including CI/CD pipelines, infrastructure as code, and containerization.
• Cloud Services: Exposure to cloud services (AWS, GCP) with an emphasis on security and regulatory compliance.
• Software Principles: Solid understanding of software development principles, design patterns, and best practices in the fintech domain.
• Agile Environment: Experience working in an Agile/Scrum development environment.
• Problem-Solving: Excellent problem-solving and analytical skills, with keen attention to detail.
• Collaboration: Strong communication and collaboration skills to work effectively in a team-oriented fintech environment.
• Version Control: Proficiency with Git for version control and collaborative development.

Preferred Skills:

• Asynchronous Processing: Familiarity with asynchronous task processing using Celery or similar technologies, especially in financial transaction processing.
• AWS Expertise: Strong knowledge of AWS services and infrastructure, including EC2, S3, RDS, Lambda, with a focus on security and compliance.
• GCP Expertise : VPC, Virtual Machines, SQL, IP whitelisting
• Caching Mechanisms: Experience with caching mechanisms (e.g., Redis) for optimizing real-time data access and processing.
• Continuous Learning: Eagerness to learn and adapt, staying updated with emerging technologies and methodologies in backend development and the fintech industry.

Backend Developer Job Description

Job Title: Backend Developer

Location: Nipania, Indore

Job Type: Full-time

Experience Level: Mid-Senior Level

Role Overview:

We are seeking an experienced Backend Developer to join our dynamic team. The ideal candidate will be responsible for building robust server-side applications and services. You will work closely with frontend developers to ensure seamless integration between the server-side logic and user-facing features.

Responsibilities:

• Implement efficient and secure backend services using Node.js and Python.
• Design and implement data storage solutions using MongoDB.
• Write effective APIs to support frontend functionalities.
• Optimize applications for performance, security, and scalability.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Maintain cloud services on AWS, including AWS EC2, Amplify, S3, Route 53, Cloudfront, Lambda & AWS CLI..
• Troubleshoot and debug issues across the backend stack.

Requirements:

• Proficient understanding of the MERN stack (MongoDB, Express.js, React.js, Node.js).
• Good experience using Docker and cloud services (AWS or Digital Ocean).
• Familiarity with microservices architecture and testing APIs with Postman.
• Knowledge of modern authorization mechanisms (e.g., JWT).
• Experience creating and maintaining CI/CD pipelines is a plus.
• Strong problem-solving skills with the ability to debug complex issues.
• Experience or knowledge of GraphQL is a plus.

Benefits:

• Leave encashment
• Provident Fund

Schedule:

• Day shift
• Fixed shift

Location- 840, Hare Krishna Vihar, Nipania, Indore, Madhya Pradesh 452010

About Telstra:

Telstra is Australia’s leading telecommunications and technology company, with operations in more than 20 countries. At Telstra, We've implemented an IT strategy that employs leading-edge software engineering practices to help deliver a superior customer experience with improved trust and speed of delivery, lower cost, and simplified architecture, systems and processes.

Your key responsibilities and major tasks include, but are not limited to

• As a backend Java developer, you will work within a specific problem space critical to Telstra’s current needs where you will design, develop, and deploy backend services with a focus on scalability, high availability, and low latency.
• Review and integrate all application requirements, including functional, security, integration, performance, quality, and operations requirements.
• Apply engineering best practices such as Agile, CI/CD, and DevOps as part of a high performing motivated team.
• Collaborate and grow in a dynamic and autonomous environment while working in small, agile, and cross functional teams
• Pivot to working on new features and developments, to providing production support in the production and pre-production environments assisted by all team members. This responsibility is equally shared by all members of the team.
  
  

We are looking for candidates with the following experience and skills:

Essential skills and Experience

• 3 years – 7 years year experience in this area
• Must have strong Java programming background (preferably Java 8+)​
• Preferred Frameworks – Spring Boot​
• Unit Testing, Integration testing and Automated testing. ​
• Experience with Continuous Integration/Deployment​
• Microservices development – HTTP, REST API​ design and implementation​
• Comfortable to operate in an agile, dynamic environment​.

Job Description

·       Strong Core Java / C++ experience with Strong Handson Coding

·       Excellent understanding of Logical ,Object-oriented design patterns, algorithms and data structures.

·       Sound knowledge of application access methods including authentication mechanisms, API quota limits, as well as different endpoint REST, Java etc

·       Strong exp in databases - not just a SQL Programmer but with knowledge of DB internals

·       Sound knowledge of Cloud database available as service is plus (RDS, CloudSQL, Google BigQuery, Snowflake )

·       Experience working in any cloud environment and microservices based architecture utilizing GCP, Kubernetes, Docker, CircleCI, Azure or similar technologies

Responsibilities:

• Setup and integrate various APIs
• Dealing with scripts written in different languages (PHP, Node.js, Python, PhantomJS, Ruby)
• Must be an R & D specialist
• Keep up-to-date with advanced concepts
• Adaptable to learn new technologies
• Knowledge on Linux and its commands
• Fast in debugging the code
• Should be a quick learner
• Good at communication

Requirements

• Minimum 3 Years of experience in PHP7
• 1 Year experience in Node.js/Python
• Good work experience in PHP7 
• Strong knowledge in OOPS.
• Proven knowledge on REST and SOAP API integrations 
• Experience in composer installations
• Strong in Javascript and Node.js concepts.
• Good knowledge of MongoDB and MySql
• Knowledge of versioning tools (SVN/GIT)
• Having knowledge on Amazon AWS and Google Cloud Platform is an added advantage
• Having knowledge of elastic search is an added advantage
• Good to have knowledge on p threads