Software Engineer

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.

About the Role

We are seeking a highly skilled and motivated Senior Backend Developer with strong expertise in Node.js and AWS to join our dynamic team. The ideal candidate will have solid backend development experience, with additional working knowledge of PHP and Python. Exposure to frontend frameworks like React.js and Angular will be considered a strong advantage.

Key Responsibilities

• Design, develop, and maintain scalable backend systems and APIs using Node.js.

• Deploy, manage, and optimize applications on AWS cloud infrastructure.

• Collaborate with cross-functional teams (frontend, product, QA) to deliver end-to-end solutions.

• Ensure application performance, security, and scalability.

• Write clean, maintainable, and testable code following industry best practices.

• Work with databases (SQL/NoSQL) to design efficient data models and queries.

• Integrate third-party services and APIs when required.

• Contribute to code reviews, technical discussions, and mentoring of junior developers.

• Support continuous integration and deployment pipelines.

• Troubleshoot, debug, and optimize existing applications.

Requirements

• 4+ years of backend development experience.

• Strong expertise in Node.js and hands-on experience with AWS services (EC2, S3, Lambda, etc.).

• Good working knowledge of PHP and Python.

• Strong understanding of RESTful API design, microservices architecture, and databases (MySQL, PostgreSQL, or MongoDB).

• Working knowledge of React.js and Angular is preferred.

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.

As a back-end developer, you’ll work on our back-end app that is built with Ruby on Rails. You’ll help to plan and develop new features, review other people’s code, fix bugs, help in technological and business decisions, and support the internal team.

Responsibilities

• Work in our main app back end built with Ruby on Rails
• Act as an architect of new features
• Review other people's code
• Fix bugs
• Help in decisions of technology and business
• Support internal team
• Refactor code

Requirements

• At least 3 years of industry experience
• At least 1 year of experience working on Ruby on Rails projects
• Comfortable in dealing with server infrastructure and deployment processes
• Experience with continuous delivery and automated testing.
• Experience with refactoring Ruby on Rails applications
• Experience in designing, developing and maintaining APIs
• Can work for at least a couple of hours during Japanese business hours

Nice to haves

These aren’t required, but be sure to mention them in your application if you have them.

• UI/UX design principles
• Good understanding of coding best practices and design patterns
• Understanding of security technologies (encryption, authentication, OAuth 2.0)
• Contribution to open source projects
• Interest and ability to learn other coding languages as needed
• Agile Development experience

Have an experience building backend server side applications in Node.js and Express.js

Have in-depth knowledge and experience of using ES6+ features and Object Oriented Principles

Have sound knowledge and are familiar with databases like MongoDb - (Preferred) and Mysql.

Have good exposure to cloud native technologies (AWS Lambda, S3, RDS, etc) 

Have working knowledge of version control (Git) and continuous deployment 

Have experience in optimising backend API’s and database queries for optimal performance.

You are good at problem solving and have analytical skills 

You are flexible in adapting new technologies and frameworks as per the projects needs

 Core Java developer responsible for building Java applications. This includes anything between complex groups of back-end services and their client-end (desktop and mobile) counterparts. Your primary responsibility will be to design and develop these applications, and to coordinate with the rest of the team working on different layers of the infrastructure. Thus, a commitment to collaborative problem solving, sophisticated design, and product quality are essential.

Responsibilities:
•Translate application storyboards and use cases into functional applications.

• Design, build and maintain efficient, reusable, and reliable Java code.
• Ensure the best possible performance, quality, and responsiveness of the applications.
• Identify bottlenecks and bugs and devise solutions to these problems.
• Help maintain code quality, organization, and automatization.

Skills Needed:

• Java, JPA, Servlets, JAX/RS, JUnit
• Fullstack : Node/Angular/React
• Algorithm,Design Patterns, Data Structures
• TomCat, Wildfly
• MySQL, PostgreSQL
• HTML, JavaScript, jQuery,
• Mobile exposure: Cordova/PhoneGap
• Exposure in E-Commerce or Product based domain
• NoSQL exposure

• Write well-designed code.
• Produce detailed specifications.
• Troubleshoot, test and maintain the core product software and databases to ensure strong optimization and functionality.
• Contribute in all phases of the development lifecycle.
• Follow industry best practices.
• Develop and deploy new features to facilitate related procedures and tools if necessary

• Expertise in any MVC framework, RDBMS, JSON,PHP and Rest APIs.
• Good understanding of design patterns.
• Should be flexible to work on multiple technologies as per project requirements.
• Candidate should be able to handle given task independently with minimal help.
• He/She should be a team player and be able to complete assign tasks on time.