Backend Engineer

Job Title : Backend Developer (Node.js or Python/Django)

Experience : 2 to 5 Years

Location : Connaught Place, Delhi (Work From Office)

Job Summary :

We are looking for a skilled and motivated Backend Developer (Node.js or Python/Django) to join our in-house engineering team.

Key Responsibilities :

• Design, develop, test, and maintain robust backend systems using Node.js or Python/Django.
• Build and integrate RESTful APIs including third-party Authentication APIs (OAuth, JWT, etc.).
• Work with data stores like Redis and Elasticsearch to support caching and search features.
• Collaborate with frontend developers, product managers, and QA teams to deliver complete solutions.
• Ensure code quality, maintainability, and performance optimization.
• Write clean, scalable, and well-documented code.
• Participate in code reviews and contribute to team best practices.

Required Skills :

• 2 to 5 Years of hands-on experience in backend development.
• Proficiency in Node.js and/or Python (Django framework).
• Solid understanding and experience with Authentication APIs.
• Experience with Redis and Elasticsearch for caching and full-text search.
• Strong knowledge of REST API design and best practices.
• Experience working with relational and/or NoSQL databases.
• Must have completed at least 2 end-to-end backend projects.

Nice to Have :

• Experience with Docker or containerized environments.
• Familiarity with CI/CD pipelines and DevOps workflows.
• Exposure to cloud platforms like AWS, GCP, or Azure.

As a Senior Backend & Infrastructure Engineer, you will take ownership of backend systems and cloud infrastructure. You’ll work closely with our CTO and cross-functional teams (hardware, AI, frontend) to design scalable, fault- tolerant architectures and ensure reliable deployment pipelines.

1. What You’ll Do :

• Backend Development: Maintain and evolve our Node.js (TypeScript) and Python backend services with a focus on performance and scalability.
• Cloud Infrastructure: Manage our infrastructure on GCP and Firebase (Auth, Firestore, Storage, Functions, AppEngine, PubSub, Cloud Tasks). 
• Database Management: Handle Firestore and other NoSQL DBs. Lead database schema design and migration strategies.
• Pipelines & Automation: Build robust real-time and batch data pipelines. Automate CI/CD and testing for backend and frontend services.
• Monitoring & Uptime: Deploy tools for observability (logging, alerts, debugging). Ensure 99.9% uptime of critical services.
• Dev Environments: Set up and manage developer and staging environments across teams.
• Quality & Security: Drive code reviews, implement backend best practices, and enforce security standards.
• Collaboration: Partner with other engineers (AI, frontend, hardware) to integrate backend capabilities seamlessly into our global system.

Must-Haves :

• 5+ years of experience in backend development and cloud infrastructure.
• Strong expertise in Node.js (TypeScript) and/or Python.
• Advanced skills in NoSQL databases (Firestore, MongoDB, DynamoDB...).
• Deep understanding of cloud platforms, preferably GCP and Firebase.
• Hands-on experience with CI/CD, DevOps tools, and automation.
• Solid knowledge of distributed systems and performance tuning.
• Experience setting up and managing development & staging environments. 

• Proficiency in English and remote communication.

Good to have :

• Event-driven architecture experience (e.g., Pub/Sub, MQTT).
• Familiarity with observability tools (Prometheus, Grafana, Google Monitoring).
• Previous work on large-scale SaaS products.
• Knowledge of telecommunication protocols (MQTT, WebSockets, SNMP).
• Experience with edge computing on Nvidia Jetson devices.

What We Offer :

• Competitive salary for the Indian market (depending on experience).
• Remote-first culture with async-friendly communication.
• Autonomy and responsibility from day one.
• A modern stack and a fast-moving team working on cutting-edge AI and cloud infrastructure.
• A mission-driven company tackling real-world environmental challenges. 

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.

Hiring for: An emerging general insurance business in India. AI-led, fast and transparent.

Role: Backend Engineer (Node.js & TypeScript) | SDE-1

Experience: 1 to 3 Years

Location(s): Mumbai - Work from office (Vikhroli)

Type: On-site / Permanent

Notice Period: Immediate to 30 days

Note: Candidates only from Strong product-based startups / product companies required

& Candidates from premier engineering institutes (IITs, NITs, BITS, IIITs, DTU, NSUT, etc.) are preferred.

We're looking for a Software Engineer who thrives on building scalable systems from the ground up, enjoys working across the stack, and wants to be part of an incredible 0 to 100 journey.

Roles and Responsibilities:

• Design and develop world-class insurance tech solutions from the ground up.
• Own features end-to-end – from API design to deployment, ensuring performance and scalability.
• Play a key role in shaping technical decisions, architecture, and best practices.
• Iterate quickly based on user feedback, balancing speed and scalability.

Required skills:

• 1+ years of experience in backend engineering.
• Proficiency in Node.js, and TypeScript, APIs, databases.
• Experience working with and building backend systems that have been used in the real world.
• Ability to navigate different stages of product development - from scrappy MVPs to scalable architectures.
• Passion for building customer-driven products and solving real-world problems. This is a rare opportunity to shape a product from the ground up, work with a stellar team, and transform the insurance space with technology. If that excites you, we’d love to chat!

Benefits:

• Greenfield Opportunity : Build scalable products from scratch in a rapidly evolving sector.
• End-to-End Ownership : Work across the stack, shaping product experiences for scale.
• Learn from the Best : Collaborate with an exceptional leadership team with deep expertise in tech and insurance.
• Impact at Scale: Be part of an early-stage team revolutionizing a trillion-dollar industry.

We are hiring!!

JOB TITLE: Back-end Developer

EXPERIENCE: 3 - 7 years

LOCATION: Mumbai (Borivali East)

TIMINGS: Indian Shift Timings

TYPE OF WORKING: Work from office

NOTICE PERIOD: 1 month

Responsibilities

• Participate in the entire application lifecycle, focusing on coding and debugging
• Must have a clear understanding of Database
• Write clean code to develop functional web applications
• Troubleshoot and debug applications
• Perform UI tests to optimize performance
• Manage cutting-edge technologies to improve legacy applications
• Collaborate with Front-end developers to integrate user-facing elements with server-side logic
• Gather and address technical and design requirements
• Provide training and support to internal teams
• Build reusable code and libraries for future use
• Liaise with developers, designers and system administrators to identify new features
• Follow emerging technologies

Requirements

• Proven work experience as a Back-end developer
• Experience in Node.js language
• Familiar with building REST API
• In-depth understanding of the entire web development process (design, development and deployment)
• Hands on experience with programming languages like Java, Ruby, PHP and Python
• Working knowledge of CMS framework
• Familiarity with front-end languages (e.g. HTML, JavaScript and CSS)
• Excellent analytical and time management skills
• Teamwork skills with a problem-solving attitude

Node  js

Job Description

We are looking for a Node.js Developer responsible for managing the interchange of data between the server and the client. 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 client end. You will also be responsible for integrating the front-end elements built by your co-workers into the application. Therefore, a basic understanding of front-end technologies is necessary as well.

Roles and Responsibilities 

• Integration of user-facing elements developed by front-end developers with server-side logic.
• Writing reusable, testable, scalable, and efficient code.
• Design and implementation of low-latency, high-availability, and high-performance applications.
• Implementation of security and data protection.
• Integration of data storage solutions { databases, key-value stores, blob stores, etc.}
• Familiarity with database Technology Such as MySQL, Oracle, and MongoDB. 

Desired Candidate Profile 

• Strong proficiency with JavaScript
• Knowledge of Node.js and frameworks available for it {such as Express etc }
• Knowledge of Micro Services Architecture and API Gateway.
• Understanding the nature of asynchronous programming and its quirks and workarounds.
• Good understanding of server-side templating languages {such as PUG, Jade, EJS, etc }
• Good understanding of server-side CSS preprocessors {such as SCSS, SASS, etc }
• Basic understanding of front-end technologies, such as HTML5, CSS3, and DOM manipulation.
• Understanding accessibility and security compliance 
• User authentication and authorization between multiple systems, servers, and environments.
• Integration of multiple data sources and databases into one system
• Understanding fundamental design principles behind a scalable application
• Understanding differences between multiple delivery platforms, such as mobile vs. desktop, and optimizing output to match the specific platform
• Creating database schemas that represent and support business processes
• Implementing automated testing platforms and unit tests
• Proficient understanding of code versioning tools, such as Git
• Strong knowledge of Linux operating systems such as Ubuntu, CentOS.
• Basic knowledge of Cloud machines such as Elastic compute.
• Basic knowledge of Cloud Storage such as AWS S3, etc