Python Developer

Develop, record and maintain cutting edge web-based J2EE, JAVA applications.

Experience on Java Spring Framework is required.

Experience on Hibernate is required.

Experience on REST Services is required.

Object-oriented programming, design, and patterns.

Strong proficiency with:Relational database concepts and data modeling.

Good communication skills to interact with customer, understand their requirement, effectively record the requirement and implement the same. 

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.

Responsibilities :

●     Designing and developing robust and scalable server-side applications using Python, Flask, Django, or other relevant frameworks and technologies.

●     Collaborating with other developers, data scientists, and data engineers to design and implement RESTful APIs, web services, and microservices architectures.

●     Writing clean, maintainable, and efficient code, and reviewing the code of other team members to ensure consistency and adherence to best practices.

●     Participating in code reviews, testing, debugging, and troubleshooting to ensure the quality and reliability of applications.

●     Optimising applications for performance, scalability, and security, and monitoring the production environment to ensure uptime and availability.

●     Staying up-to-date with emerging trends and technologies in web development, and evaluating and recommending new tools and frameworks as needed.

●     Mentoring and coaching junior developers to ensure they grow and develop their skills and knowledge in line with the needs of the team and the organisation.

●     Communicating and collaborating effectively with other stakeholders, including product owners, project managers, and other development teams, to ensure projects are delivered on time and to specification.

You are a perfect match, if you have these qualification :

●     Strong experience in Python and server-side development frameworks such as Flask or Django.

●     Experience in building RESTful APIs, web services, and microservices architectures.

●     Experience in using database technologies such as MySQL, PostgreSQL, or MongoDB.

●     Familiarity with cloud-based platforms such as AWS, Azure, or Google Cloud Platform.

●     Knowledge of software development best practices such as Agile methodologies, Test-Driven Development (TDD), and Continuous Integration/Continuous Deployment (CI/CD).

●     Excellent problem-solving and debugging skills, and the ability to work independently as well as part of a team.

Strong communication and collaboration skills, and the ability to work effectively with other stakeholders in a fast-paced environment

Job Summary: We are looking for a skilled SQL Developer to join our team. The ideal candidate will have a strong understanding of database management systems, experience in writing complex SQL queries, and a solid understanding of data structures and algorithms. The SQL Developer will be responsible for designing, developing, and maintaining SQL databases, ensuring their performance, availability, and security.

Key Responsibilities:

• Design, develop, and optimize SQL databases, tables, views, stored procedures, and triggers.
• Develop efficient and complex SQL queries for data extraction, transformation, and loading (ETL).
• Create and maintain database schema designs, data models, and ER diagrams.
• Analyze and optimize complex SQL queries for better performance.
• Implement indexing strategies, query optimization techniques, and other performance tuning practices.
• Ensure data integrity and security by designing and implementing database constraints, data validation rules, and security policies.
• Work with software developers, data analysts, and system administrators to integrate SQL databases with other applications and systems.
• Collaborate with business stakeholders to understand data requirements and provide solutions.
• Document database designs, stored procedures, and other database-related activities.
• Maintain accurate records of database changes, optimizations, and configurations.

Eligibility Criteria:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 3 to 5 years of experience as an SQL Developer or in a similar role.
• Proven experience in database design, development, and management.
• Experience with SQL Server, MySQL, PostgreSQL, or other relational database management systems.
• Proficiency in writing complex SQL queries, stored procedures, functions, and triggers.
• Strong understanding of indexing, query optimization, and performance tuning.
• Familiarity with database security best practices.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.
• Attention to detail and commitment to quality.
• Ability to work independently and in a team environment.
• Experience with cloud-based databases (e.g., AWS RDS, Azure SQL Database).
• Experience with NoSQL databases.

What We Offer:

·        Competitive salary and performance based incentives.

·        Comprehensive benefits package, including health

·        Opportunities for professional growth and career advancement.

·        A collaborative and innovative work environment.

Job Responsibilities

1. Expert knowledge of Web Application Development using PHP6 onwards.
2. Excellent knowledge of HTML, CSS, JavaScript and jQuery.
3. Must know at least two PHP frameworks out of Laravel, Cakephp, CodeIgniter and YII.
4. Knowledge of CMS platforms like WordPress, Joomla, Drupal etc. will be an added advantage.
5. Knowledge of eCommerce frameworks like WooCommerce, Magento, OpenCart etc. will be an added advantage.
6. Good knowledge of Object-Oriented Concepts & a strong passion for Software Development.
7. Strong Interaction and Design Sense
8. Familiarity with LAMP stack (Apache, MySQL and phpMyAdmin)
9. Comfortable with Linux / Unix based operating system, SQL and Script Programming.
10. Experience in Designing & Developing Database in MySQL is a MUST.
11. Setting up server, Pipelines and deployment knowledge will be a plus
12. Proficient understanding of code versioning tools, such as Git

Required Skills

1. Willingness to learn, highly motivated.
2. Fully comfortable in using English. Both in writing and speaking.
3. Not afraid to learn new tech stack.

Desired Skills

1. 1-6 years of experience in Web Development.
2. Candidates with a Lesser Notice period would be preferred.

Candidates who can join immediately would be preferred.

Note: If you are willing to apply on the above post kindly add web links of your work in the resume.