Backend developers

The requirements are as follows:

1) Familiar with the the Django REST API Framework.

2) Experience with the FAST API framework will be a plus

3) Strong grasp of basic python programming concepts ( We do ask a lot of questions on this on our interviews :) )

4) Experience with databases like MongoDB , Postgres , Elasticsearch , REDIS will be a plus

5) Experience with any ML library will be a plus.

6) Familiarity with using git , writing unit test cases for all code written and CI/CD concepts will be a plus as well.

7) Familiar with basic code patterns like MVC.

8) Grasp on basic data structures.

You can contact me on nine three one six one two zero one three two

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.

Job Overview

We are looking for a talented Senior Backend Developer to join our team in developing backend servicing. As a key member of our development team, you will be responsible for cross-functional teams to design, develop, and maintain backend services and APIs using Node.js. The ideal candidate is passionate about distributed systems, has experience with backend services and is excited about optimising applications for performance, scalability, and reliability.

Responsibilities:

• Design, develop, and maintain backend services and APIs using Node.js.
• Collaborate with cross-functional teams to define requirements, architect solutions, and implement features.
• Write clean, modular, and maintainable code following best practices and coding standards.
• Optimise applications for performance, scalability, and reliability.
• Implement security measures to ensure data privacy and integrity in backend systems.
• Troubleshoot and debug issues to ensure smooth operation of production systems.
• Perform code reviews to maintain code quality, consistency, and adherence to coding standards.
• Stay updated with the latest trends and technologies in backend development, Node.js, and related ecosystems

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field.
• Proven experience in backend development, with at least 4 years of experience using Node.js.
• Strong understanding of data structures, algorithms, and software design principles.
• Experience with web frameworks such as Express.js.
• Proficiency in building RESTful APIs and microservices architecture.
• Familiarity with relational and NoSQL databases (e.g., MongoDB, PostgreSQL).
• Solid understanding of asynchronous programming and event-driven architectures.
• Experience with version control systems (e.g., Git) and collaborative development workflows.
• Excellent problem-solving, analytical, and troubleshooting skills.
• Ability to work independently and in a team environment, with excellent communication skills.

About this roleWe are seeking an experienced MongoDB Developer/DBA who will be

responsible for maintaining MongoDB databases while optimizing performance, security, and

the availability of MongoDB clusters. As a key member of our team, you’ll play a crucial role in

ensuring our data infrastructure runs smoothly.

You'll have the following responsibilities

 Maintain and Configure MongoDB Instances - Responsible for build, design, deploy,

maintain, and lead the MongoDB Atlas infrastructure. Keep clear documentation of the

database setup and architecture.

 Ownership of governance, defining and enforcing policies in MongoDB Atlas.Provide

consultancy in drawing the design and infrastructure (MongoDB Atlas) for use case.

 Service and Governance wrap will be in place to restrict over provisioning for server size,

number of clusters per project and scaling through MongoDB Atlas

 Gathering and documenting detailed business requirements applicable to the data

layer.Responsible for designing, configuring and managing MongoDB on Atlas.

 Design, develop, test, document, and deploy high-quality technical solutions on the

MongoDB Atlas platform based on industry best practices to solve business needs.

Resolves technical issues raised by the team and/or customer and manages escalations as

required.

 Migrate data from on-premise MongoDB and RDBMS to MongoDB AtlasCommunicate

and collaborate with other technical resources and customers in providing timely updates

on status of deliverables, shedding light on technical issues, and obtaining buy-in on

creative solutions.

 Write procedures for backup and disaster recovery.

You'll have the following skills & experience

 Excellent analytical, diagnostic skills, and problem-solving skills

 Should understand the Database concept and develop expertise in designing and

developing NoSQL databases such as MongoDB

 MongoDB query operation, import and export operation in database

 Experience in ETL methodology for performing Data Migration, Extraction,

Transformation, Data Profiling and Loading

 Migrating database by ETL, migrating database by manual process and designing,

development, implementation

 General networking skills, especially in the context of a public cloud (e.g. AWS – VPC,

subnets, routing tables, nat / internet gateways, dns, security groups)

 Experience using Terraform as an IaC tool for setting up infrastructure on AWS

CloudPerforming database backups and recovery

 Competence in at least one of the following languages (in no particular order): Java, C++,

C#, Python, Node.js (JavaScript), Ruby, Perl, Scala, Go

 Excellent communication skills, often being able to compromise but draw out risks and

constraints associated with solutions. Be able to work independently and collaborate with

other teams

 Proficiency in configuring schema and MongoDB data modeling.

 Strong understanding of SQL and NoSQL databases.

 Comfortable with MongoDB syntax.

 Experience with database security management.

 Performance Optimization - Ensure databases achieve maximum performance and

availability. Design effective indexing strategies.

BlackLight Gaming is looking for a top-notch, ambitious and driven Node. js developer who is confident of creating, maintaining and further optimising highly scalable backend supporting our multiplayer mobile games which are played by millions of players. If you're hard-working, enthusiastic, dedicated, have fire in the belly to accept challenges, then BlackLight Games is the place for you.

What You Bring to the team:

• More than 3+ years of experience developing serverless applications using public cloud like Google Cloud/ AWS
• Knowledge of Node. js and frameworks available for it.
• Strong proficiency with JavaScript
• Understanding the nature of asynchronous programming and its quirks and workarounds.
• Distributed system development with an understanding of latency, scalability, scheduling, asynchronous programming, and reliability
• Understanding fundamental design principles behind a scalable application
• Experience with services common to serverless architectures, like: AWS Lambda, DynamoDB, IAM, Firebase Real Time Database, Google Cloud SQL, Cloud Tasks. It’s a bonus if you have worked on Google Cloud Project and Firebase.
• Solid Experience with NoSQL and SQL databases is required with proven experience of creating database schemas that represent and support business processes.
• Integration of multiple data sources and databases into one system.
• Experience with deploying, maintaining, debugging live systems, and end-to-end testing and analysis
• Experienced in creating micro-services based architectures, reusable components
• Experience building REST APIs and other common application architectures on the above services
• Experience building data processing pipelines
• Solid understanding of code, design, and development practices
• General comfort in exploring, assessing, and learning new frameworks
• High levels of integrity and professionalism, and an ability to channel maximum amounts of energy into the role delivering premium customer service at all times
• Adhere to different Project Management methodologies (Agile etc) and leverage different CI/CD tools

Extra Gems for:

• Google, AWS and/or Industry certifications.
• Familiarity with object storage such as AWS S3, Firebase Storage, in-memory caches such as Redis
• Demonstrated performance of threat modeling, risk assessment techniques, code reviews in the context of DevSecOps security
• Knowledge of Application Monitoring using tools like Google Stackdriver
• Broad familiarity with other languages like J2EE, Python as we write some code in these as well.
• Experience with Github and advanced Github features.
• Experience of working in Product industry
• Open source contributions, interesting hobby projects.

Why Us?

• High Growth Startup environment
• Company sponsored courses and education material
• Lots of learning opportunities
• Work with a super-talented team of professionals
• Informal work-culture, Casual Dress Code, multiple outings and trips
• Performance Based Bonus
• Competitive Salary
• Medical Insurance for you and your family
• Subsidies Lunch and Unlimited Snacks, Tea & Coffee in the house at all time

• 2+ year of experience in Development in JAVA technology.
• Strong Java Basics
• SpringBoot or Spring MVC
• Hands on experience on Relationl Databases (SQL query or Hibernate) + Mongo (JSON parsing)
• Proficient in REST API development
• Messaging Queue (RabitMQ or Kafka)
• Microservices
• Any Caching Mechanism
• Good at problem solving

• 4+ years of experience in using Java/J2EE tech stacks
• Good understanding of data structures and algorithms.
• Excellent analytical and problem solving skills.
• Ability to work in a fast paced internet start-up environment.
• Experience in technical mentorship/coaching is highly desirable.
• Understanding of AI/ML algorithms is a plus.

We are looking for a Ruby on Rails developer responsible for managing 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. 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.

Responsibilities

• Design, build and maintain efficient, reusable, and reliable Ruby code
• Integration of data storage solutions 
• Integration of user-facing elements developed by front-end developers with server-side logic
• Identify bottlenecks and bugs, and devise solutions to these problems
• Help maintain code quality, organization, and automatization
•  

Skills

• Experience with Ruby on Rails, along with other common libraries such as RSpec and Resque
• Good understanding of the syntax of Ruby and its nuances
• Solid understanding of object-oriented programming
• Good understanding of server-side templating languages 
• Good understanding of server-side CSS preprocessors 
• Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3
• Familiarity with concepts of MVC, Mocking, ORM, and RESTful
• A knack for writing clean, readable Ruby code
• Ability to integrate multiple data sources and databases into one system
• Understanding of fundamental design principles behind a scalable application
• Able to create database schemas that represent and support business processes
• Able to implement automated testing platforms and unit tests
• Proficient understanding of code versioning tools 
• Familiarity with development aiding tool familiarity with continuous integration

Sr. Software Developer

Job Description:

• Writing clean, high-quality, high-performance, maintainable code
• Develop and support software including applications, database integration, interfaces, and new functionality enhancements
• Coordinate cross-functionally to insure project meets business objectives and compliance standards
• Responsible for regular enhancement of Algorithm
• Develop and support software architecture
• Responsible for DevOps planning
• Support test and deployment of new products and features
• Participate in code reviews

Skills Required:

• Excellent programming skills and knowledge of complete development process.
• Should have knowledge in PHP, CI, Node.JS, MySQL, MongoDB and Modern JavaScript.
• Knowledge of TDD tools

Qualification:

BE/B.Tech/MCA/Mtech/M.E/PHD