Backend Engineer

WHAT YOU’LL DO:

• Lead in the design and development of robust, scalable, and efficient software solutions, ensuring the highest standards in all aspects of software development.
• Design and implement high-quality, test-driven, scalable backend code for various client projects using TypeScript and Nest.js Develop and maintain APIs to support consuming teams.
• Work closely with frontend teams to optimize REST API integrations, ensuring efficient data fetching and caching strategies.
• Create and maintain documentation, implement and follow best practices for development workflow.
• Partner closely with Project Managers and other teams to ensure the successful delivery of significant software projects, coordinating resources and managing timelines for smooth project execution.
• Efficiently prioritizes and plans complex tasks, and influences a respectful, inclusive work environment, fostering continuous learning and growthContribute innovative ideas to ensure we deliver the best solutions for our clients.
• Act as a technical mentor to more junior engineers, fostering a culture of continuous learning and improvement.

WHAT WE’RE LOOKING FOR:

• Strong proficiency in English (written and verbal communication) is required.
• Experience working with remote teams in North America and Latin America, ensuring smooth collaboration across time zones.
• Deep expertise with Typescript and NestJs framework.
• Experience with authentication workflows and authorization mechanisms (OAuth, JWT)Experience with testing frameworks and best practices, including unit testing, integration testing, and e2e testing.
• Solid understanding of web technologies in general.
• Solid understanding of backend design patterns.
• Experience with designing applications that use and consume databases (SQL, ORM, etc).
• Extensive experience with building and maintaining versioned APIs Strong knowledge of GCP or other equivalent cloud platforms.
• Understanding of containerization technologies for development environments.
• Experience with messaging systems and patterns, ideally with tools like Google Pub/Sub or equivalentExperience with CI/CD pipelines for deployments (GitHub Actions preferred).
• Knowledge of security best practices, including CSP and OWASP Top 10, Ability to communicate effectively with technical and non-technical stakeholders.
• You should feel comfortable explaining technical concepts in simple terms.
• Experience working in fast-paced, Agile environments, balancing priorities across multiple projects.
• Experience mentoring junior engineers and leading development teams.

Nice to Haves:

• Experience with Algolia, Ninetailed, and Salsify
• Experience with front-end technologies like React and frameworks like NextJs
• Experience with Terraform and DevOps principles
• Certification in Cloud Development on any modern platform

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.

Backend Developer responsible for managing back-end services and the interchange of data between the server and the users.

Your primary focus will be the development of all server side logic, definition and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end.

We are looking to recruit a candidate for a role that will require:

• Create and consume restful APIs
• Design, develop, and maintain internal and external applications
• Build efficient, testable, and reusable modules
• Write high quality, structured application/interface code and documentation
• Identify solutions through research and collaboration that resolves the root of problems as they arise
• Define functional and technical requirements for application software to develop skills and knowledge
• Troubleshoot, test and maintain the core product software and databases to ensure strong optimization and functionality
• Contribute in all phases of the development lifecycle

Requirement

∙ Proficient in Node.JS

∙ 2+ years’ experience designing, querying, and updating databases in MySQL/nosql 

∙ Passion for best design and coding practices and a desire to develop new bold ideas

∙ Good to have knowledge of AWS, Redis, ElasticSearch

Education: Min. Graduate in related discipline

Work experience: 2 years relevant experience

• You’ve been building web applications professionally for 4+ years
• You’re proficient in NodeJS, TypeScript, MySQL, and MongoDB
• You possess strong OOP and design pattern knowledge
• Familiar with modern engineering practices: Code Reviews, Continuous Deployment, Automated Testing, etc
• You write understandable, testable code with an eye towards maintainability and experience with TDD (Test Driven Development)
• You have the ability to build RESTful APIs
• Explaining complex technical concepts to designers, support team, and fellow engineers is not a problem for you
• Well versed with the fundamentals of computer science and distributed systems
• Frontend experience; (Good to have) Angular
• Start-up experience, preferably a tech start-up
• Open-Source contributor
• You have experience with other programming languages -- e.g., Python, Ruby, PHP, Go, C, etc.
• Passionate about/experienced with open source and developer tools
• You have a bachelor's degree in Computer Science, Engineering, or related field, or equivalent training, fellowship, or work experience

Qualifications

• BE/ B. Tech/ MSc/MTech
• Candidate should possess the degree from a recognized University/ Institution only

We are looking for a highly capable Node.js developer to optimize our web-based application performance. You will be collaborating with our front-end application developers, designing back-end components, and integrating data storage and protection solutions.

To ensure success as a Node.js developer, you should possess extensive knowledge of Node.Js based services and experience in a similar role. An accomplished Node.js developer will be someone whose expertise results in the stable, fast, and secure exchange of data between servers and end-users.

Responsibilities

• Developing and maintaining all server-side network components.
• Ensuring optimal performance of the central database and responsiveness to front-end requests.
• Collaborating with front-end developers on the integration of elements.
• Designing customer-facing UI and back-end services for various business processes.
• Developing high-performance applications by writing testable, reusable, and efficient code.
• Implementing effective security protocols, data protection measures, and storage solutions.
• Running diagnostic tests, repairing defects, and providing technical support.
• Documenting Node.js processes, including database schemas, as well as preparing reports.
• Recommending and implementing improvements to processes and technologies.
• Keeping informed of advancements in the field of Node.js development.

Skills

• At least one year of experience as a Node.js developer.
• Extensive knowledge of JavaScript, web stacks, libraries, and frameworks.
• Knowledge of front-end technologies such as HTML5 and CSS3.
• Superb interpersonal, communication, and collaboration skills.
• Exceptional analytical and problem-solving aptitude.
• Great organizational and time management skills.
• Availability to resolve urgent web application issues outside of business hours.

Responsibilities:

• Write well designed, testable, scalable and efficient code and oversee assigned programs (e.g. conduct code review) and provide guidance to team members
• Apply design principles to ensure code modularity and error handling at appropriate levels
• Communicate software requirements to development teams
• Evaluate and select appropriate software or hardware and suggest integration methods
• Address technical concerns, ideas and suggestions and provide technological solution to it
• Monitor systems to ensure they meet both user needs and business goals
• Design the overall structure of the platform and oversee programs to ensure the proper implementation of the architecture

Desired Skills and Experience

• 2-7years of relevant experience in an online start-up with a record of substantial achievements

in the specific role

• Strong programming foundation in PHP, MySQL, Oops Concepts and can develop core PHP based applications
• Must have worked on MVC frameworks – Laravel, CodeIgniter, Cake PHP or Zend.
• Experience with JavaScript and jQuery for producing AJAX applications.
• HTML5, CSS3, XML knowledge is mandatory
• Ability to make modifications to the systems with little or no interruption of service
• Solid exposure to API integrations and familiar with various design & architectural patterns
• Understanding fundamental design principles behind a scalable application
• Ability to thrive in a fast-paced, deadline-driven environment