11+ IDX Jobs in India

Job Title : Senior Backend Engineer – Java, AI & Automation

Experience : 4+ Years

Location : Any Cognizant location (India)

Work Mode : Hybrid

Interview Rounds :

1. Virtual
2. Face-to-Face (In-person)

Job Description :

Join our Backend Engineering team to design and maintain services on the Intuit Data Exchange (IDX) platform.

You'll work on scalable backend systems powering millions of daily transactions across Intuit products.

Key Qualifications :

• 4+ years of backend development experience.
• Strong in Java, Spring framework.
• Experience with microservices, databases, and web applications.
• Proficient in AWS and cloud-based systems.
• Exposure to AI and automation tools (Workato preferred).
• Python development experience.
• Strong communication skills.
• Comfortable with occasional US shift overlap.

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.

Strong Full stack/Backend engineer profile

Mandatory (Experience): Must have 2+ years of hands-on experience as a full stack developer (backend-heavy)

Mandatory (Backend Skills): Must have 1.5+ strong experience in Python, building REST APIs, and microservices-based architectures

Mandatory (Frontend Skills): Must have hands-on experience with modern frontend frameworks (React or Vue) and JavaScript, HTML, and CSS

Mandatory (Database Skills): Must have solid experience working with relational and NoSQL databases such as MySQL, MongoDB, and Redis

Mandatory (Cloud & Infra): Must have hands-on experience with AWS services including EC2, ELB, AutoScaling, S3, RDS, CloudFront, and SNS

Mandatory (DevOps & Infra): Must have working experience with Linux environments, Apache, CI/CD pipelines, and application monitoring

Mandatory (CS Fundamentals): Must have strong fundamentals in Data Structures, Algorithms, OS concepts, and system design

Mandatory (Company) : Product companies (B2B SaaS preferred)

Job brief 

We are looking for a qualified Database developer to design stable and reliable databases, according to our company’s needs. You will be responsible for developing, testing, improving and maintaining new and existing databases to help users retrieve data effectively.

As part of our IT team, you will work closely with developers to ensure system consistency. You will also collaborate with administrators and clients to provide technical support and identify new requirements. Communication and organization skills are keys for this position, along with a problem-solution attitude.

Ultimately, you should be able to ensure our database systems run effectively and securely on a daily basis.

Responsibilities

• Design stable, reliable and effective databases
• Optimize and maintain legacy systems
• Modify databases according to requests and perform tests
• Solve database usage issues and malfunctions
• Liaise with developers to improve applications and establish best practices
• Gather user requirements and identify new features
• Develop technical and training manuals
• Provide data management support to users
• Ensure all database programs meet company and performance requirements
• Research and suggest new database products, services and protocols

Requirements

• Proven work experience as a Database developer (5+ Years)
• In-depth understanding of data management (e.g. permissions, recovery, security and monitoring)
• Knowledge of software development and user interface web applications
• Advanced proficiency and hands on experience with T-SQL, Stored Procedures, Cursors, Triggers, Schedulers etc.
• Familiarity working with MS SQL Server, MySQL, .Net Framework, java
• Excellent analytical and organization skills
• An ability to understand front-end users’ requirements and a problem-solving attitude
• Ability to craft detailed technical manuals.
• Excellent verbal and written communication skills
• BE/MCA/MSc Degree in Computer Science or relevant field.

.Overall 5+ years of experience in application development using Java with creating and deploying microservices using the Spring Boot framework







• Strong experience in Maven.







• Good experience in unit(Junit) and integration testing.







• Experience in Microservices is a must.







Experience in designing and developing REST based services / Microservice development.







• Candidate should have good communication skills (written and verbal)







Excellent analytical and problem solving skills







Any one of these database Mongo, Maria, RMQ, Postgres, or other NoSQL servers







• Experience in AWS and CI/CD







5+ Years







Design, develop, and maintain robust, scalable, and secure backend services and APIs.







• Collaborate with frontend developers to integrate user-facing elements with server-side logic.







Write clean, efficient, and maintainable code following best practices and coding standards.







• Optimize performance and ensure high availability of backend services.







• Implement security measures to protect sensitive data and prevent vulnerabilities.







Design and manage databases, ensuring data integrity and efficient query performance.







Debug, troubleshoot, and resolve issues in production and development environments.







• Conduct code reviews and provide constructive feedback to team members.







Stay up-to-date with emerging backend technologies, frameworks, and best practices.







• Participate in Agile/Scrum ceremonies and contribute to sprint planning and estimations.

This person MUST have:

• B.E Computer Science or equivalent
• 5 years experience with the Django framework
• Experience with building APIs (REST or GraphQL) 
• Strong Troubleshooting and debugging skills
• React.js knowledge would be an added bonus 
• Understanding on how to use a database like Postgres (prefered choice), SQLite, MongoDB, MySQL.
• Sound knowledge of object-oriented design and analysis.
• A strong passion for writing simple, clean and efficient code.
• Proficient understanding of code versioning tools Git.
• Strong communication skills.

Experience:

• Min 5 year experience
• Startup experience is a must. 

Location:

• Remote developer

Timings:

• 40 hours a week but with 4 hours a day overlapping with client timezone.  Typically clients are in California PST Timezone.

Position:

• Full time/Direct
• We have great benefits such as PF, medical insurance, 12 annual company holidays, 12 PTO leaves per year, annual increments, Diwali bonus, spot bonuses and other incentives etc.
• We dont believe in locking in people with large notice periods.  You will stay here because you love the company.  We have only a 15 days notice period.

Location – Pune, Gandhinagar (Currently Work from Home till 2022)

Educational Qualification - B.E / B.Tech, MCA, M.Tech, or any equivalent IT graduation or post-graduation

• J2EE - Sprint Boot Microservices.
• At least 8+ years of experience in Java development (J2EE, J2SE 8).
• Extensive experience with Spring, Spring Boot Micro Services, JPA, Hibernate.
• Extensive experience in REST and SOAP Webservices Services.
• Excellent knowledge of databases( PostgreSQL, MySQL).
• Experience in testing tools (JUnit, SOAP UI, Postman).
• Experience in build tools – Maven, Gradle. Knowledge of modern authorization mechanisms, such as JSON Web Token.
• Experience in web application servers - Tomcat, etc.
• Understanding of Agile Development methodology – SCRUM.
• Understanding of continuous integration - Jenkins, and Code versioning tools- Git