React Native Developer

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.

WHAT YOU'LL WORK ON

• Design and implement scalable APIs and microservices using Node.js & Express
• Manage deployments via GitHub Actions and CodeDeploy; work with Docker & AWS
• Optimize MongoDB queries and use Redis caching for high-concurrency traffic
• Bridge Figma designs to backend logic using Next.js and Tailwind CSS
• Maintain monitoring with Nginx & PM2 to ensure 99.9% uptime

WHAT WE'RE LOOKING FOR

• 1+ year of professional experience building and maintaining production applications
• Deep Node.js knowledge: async programming, RESTful API architecture
• MongoDB mastery: schema design, indexing strategies, complex aggregation pipelines
• Hands-on AWS (EC2/S3 minimum) and practical CI/CD pipeline experience
• Proven ability to take a feature from PRD / Figma to stable production deployment

WHAT WILL MAKE YOU STAND OUT

• Experience maintaining apps with high concurrent user counts
• Comfortable with Nginx configs and Dockerfiles
• Hands-on with payment gateway integration (Cashfree) and webhook handling
• Obsession with maintainable, well-documented, DRY code

AI Usage Policy:

AI tools (Cursor, Copilot, GPT-4) are force multipliers — use them. But you must own your code, reason hrough architectural trade-offs, and debug without relying solely on AI.

HOW TO APPLY:

• Tell us about the most complex bug you've solved or a backend system you built from scratch
• Share your GitHub profile
• Include at least two live project links showcasing your best work
• Your code will directly impact the learning outcomes of thousands of students.

Senior Software Developers collaborate with Business and Quality Analysts, Designers, Project Managers and more to design software solutions that will create meaningful change for our clients. They listen thoughtfully to understand the context of a business problem and write clean and iterative code to deliver a powerful end result whilst consistently advocating for better engineering practices. By balancing strong opinions with a willingness to find the right answer, Senior Software Developers bring integrity to technology, ensuring all voices are heard.

For a team to thrive, it needs collaboration and room for healthy, respectful debate. Senior Developers are the technologists who cultivate this environment while driving teams toward delivering on an aspirational tech vision and acting as mentors for more junior-level consultants. You will leverage deep technical knowledge to solve complex business problems and proactively assess your team’s health, code quality and nonfunctional requirements.

Job responsibilities

• You will learn and adopt best practices like writing clean and reusable code using TDD, pair programming and design patterns
• You will use and advocate for continuous delivery practices to deliver high-quality software as well as value to end customers as early as possible
• You will work in collaborative, value-driven teams to build innovative customer experiences for our clients
• You will create large-scale distributed systems out of microservices
• You will collaborate with a variety of teammates to build features, design concepts and interactive prototypes and ensure best practices and UX specifications are embedded along the way.
• You will apply the latest technology thinking from our Technology Radar to solve client problems
• You will efficiently utilize DevSecOps tools and practices to build and deploy software, advocating devops culture and shifting security left in development
• You will oversee or take part in the entire cycle of software consulting and delivery from ideation to deployment and everything in between
• You will act as a mentor for less-experienced peers through both your technical knowledge and leadership skills

Job qualifications:

Technical Skills

• You have experience using one or more development languages (Java, Nodejs, React, TypeScript, JavaScript, etc.) with experience in Object-Oriented programming
• You can skillfully write high-quality, well-tested code and you are comfortable with Object-Oriented programming
• You are comfortable with Agile methodologies, such as Extreme Programming (XP), Scrum and/or Kanban
• You have a good awareness of TDD, continuous integration and continuous delivery approaches/tools
• Bonus points if you have working knowledge of cloud technology such as AWS, Azure, Kubernetes and Docker

Professional Skills

• You enjoy influencing others and always advocate for technical excellence while being open to change when needed
• Presence in the external tech community: you willingly share your expertise with others via speaking engagements, contributions to open source, blogs and more
• You’re resilient in ambiguous situations and can approach challenges from multiple perspectives

Other things to know:

Learning & Development

There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.

ApnaComplex is one of India’s largest and fastest-growing PropTech disruptors within the Society & Apartment Management business.  The SaaS based B2C platform is headquartered out of India’s tech start-up hub, Bangalore, with branches in 6 other cities. It currently empowers 3,600 Societies, managing over 6 Lakh Households in over 80 Indian cities to effortlessly manage all aspects of running large complexes seamlessly.

ApnaComplex is part of ANAROCK Group. ANAROCK Group is India's leading specialized real estate services company having diversified interests across the real estate value chain.

If it excites you to - drive innovation, create industry-first solutions, build new capabilities ground-up, and work with multiple new technologies, ApnaComplex is the place for you.

Key job responsibilities-

• ​Design and develop highly scalable, reliable and fault tolerant systems ​
• Understand the customer needs, design & implement
• ​Envision project goals, product architectural solutions with a high focus on detail to ensure successful implementation
• ​Articulate complex problems communicating viable architecture and design approaches in a clear and concise manner
• ​Enhance the agile SDLC within the Development Team through new learning, continued growth, and applying industry best practices and processes
• ​Keep optimizing & automating mundane tasks • ​Problem solving in accounting modules

Who You Are-

• ​You have a deep interest and passion for technology - You love writing and owning code and enjoy working with people who will keep challenging you at every stage.
• ​You have strong problem solving, analytic, decision-making and excellent communication with interpersonal skills.
• ​You are self-driven and motivated with the desire to work in a fast-paced, results driven agile environment with varied responsibilities
• ​You have a strong knowledge in accounting systems like ledger entries

Qualifications-

• ​6 years of software development experience in backend
• ​Hands on experience with PHP using CodeIgniter and Javascript (Angular/ React)
• Database technologies - SQL and/or NoSql
• Experience in developing REST APIs
• ​Knowledge of VCS using SVN/ GIT and Payment Gateways
• ​Expertise in design principles and their application
• ​Strong computer science fundamentals in data structures and algorithms ​ Fast Learner & a Team Player

Locations: Bangalore

Quick Glances:

• https://www.apnacomplex.com/why-apnacomplex">What to look for at ApnaComplex
• https://www.linkedin.com/company/1070467/admin/">Who are we A glimpse of ApnaComplex, know us better
• https://www.apnacomplex.com/media-buzz">ApnaComplex - Media – Visit our media page

ANAROCK Ethos - Values Over Value:

Our assurance of consistent ethical dealing with clients and partners reflects our motto - Values Over Value.

We value diversity within ANAROCK Group and are committed to offering equal opportunities in employment. We do not discriminate against any team member or applicant for employment based on nationality, race, color, religion, caste, gender identity / expression, sexual orientation, disability, social origin and status, indigenous status, political opinion, age, marital status or any other personal characteristics or status. ANAROCK Group values all talent and will do its utmost to hire, nurture and grow them.

• • Key Result Areas
  
  
  1. Develop and lead desktop and mobile web Back end development. 
  2. Work on Node JS platform.
  3. Strong focus on UI Performance: optimize page load, rendering, caching, leveraging CDNs.
•  
  1. Technology Skills:
  
  
  • Advanced Javascript, CSS, HTML 5, D/XHTML, XML, JSON, DOM Concepts
  • Must have worked on a SPA frameworks:Nodejs, AngularJS or InfernoJS
  • Familiarity with common Javascript Libraries such as jQuery.
  • Fluent in responsive design and mobile / tablet UI / UX
  • Knowledge about UI testing automation
  • Web mobile (touch devices: mobiles and tablets) experience is expected
  • UI or API Performance: should have hands-on experience of optimizing page load, rendering,caching.
  • Good understanding of AJAX and its UI implications
  • Sense for appeal & aesthetics from a usability perspective