Backend Developer

Advanced Software Architect

Position Responsibilities :

• Lead the architecture and development of AI-powered, distributed systems that meet enterprise-grade performance and security standards.
• Leverage AI tools for code generation, architectural design, and documentation to accelerate delivery and improve quality.
• Design, build, and maintain services using Python, Java, and Node.js, following clean-code and secure design principles.
• Develop agentic AI-based tools, domain-specific copilots, and developer productivity enhancements.
• Collaborate with cross-functional teams to define modular, scalable, and compliant architecture patterns.
• Conduct technical design reviews and produce detailed documentation, including system specifications, API docs, and architecture diagrams.
• Integrate AI solutions into CI/CD pipelines, ensuring observability, automated testing, and deployment standards are met.
• Implement robust monitoring and performance engineering practices to maintain high-quality deployments.
• Continuously evaluate emerging AI technologies and integrate them into development workflows for maximum impact.
• Champion best practices in security, automation, and performance optimization across the organization.

Qualifications :

• 8+ years in software engineering with full-stack or backend development in Python, Java, and/or Node.js.
• 3+ years with AI tools for development, prototyping, or documentation tasks.
• Experience with cloud-native development and containerized deployment (Docker, Kubernetes).
• Knowledge of AI integration patterns, vector stores, prompt engineering, and RAG pipelines.
• Ability to design software architecture using sequence diagrams, ERDs, data models, and threat models.
• Comfortable with Gen AI-first environments and working with remote Agile teams.

Preferred Qualifications

• Experience building AI copilots or developer tools using OpenAI/Claude SDKs, LangChain, or similar frameworks.
• Experience working in a fast-paced, AIDLC environment, with a strong understanding of CI/CD practices.
• Familiarity with GitHub Actions, Argo Workflows, Terraform, and monitoring/observability tools.
• Containerization and Orchestration: Proficiency in Docker and Kubernetes for containerization and orchestration.
• Cloud Platforms: Experience with cloud computing platforms such as AWS, Azure, or OCI Cloud.

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.

ROLE AND RESPONSIBILITIES

• Involvement in the full software development life cycle within broadly defined parameters and

providing software solutions keeping into consideration, the software quality needs.

• Design and defining the interaction between the different component pieces.

• Write efficient code based on brief given by team lead.

• Fast prototyping of proof-of concept features / application based on brief.

• Develop and maintain new features on Java stack.

• Own the delivery of an entire piece of a system or application.

• Management and execution against project plans and delivery commitments.

• Work closely with the peers and Leads to develop the best technical design and approach for new

product development.

• Build software solutions for complex problems.

• Compliance with build/release and configuration management process.

• Responsibility to develop unit test cases for his/her project module.

QUALIFICATIONS AND EDUCATION REQUIREMENTS

WORK EXPERIENCE AND EDUCATIONAL BACKGROUND THAT A CANDIDATE SHOULD HAVE WHEN APPLYING FOR

POSITION

• 5+ years of proven experience as a Software Developer, Software Engineer or similar role

• Familiarity with Agile development methodologies

• B.E./ B.Tech. / M.E. / M.Tech. / M.S. in Computer Science, Electronics or a related field.

• Experience with software design and development in a test-driven environment

• Knowledge of coding languages (e.g. Java, JavaScript) and frameworks/systems

• Experience with databases (Oracle / Postgre) and Object-Relational Mapping (ORM) frameworks

• Ability to learn new languages and technologies

• Excellent communication skills

• Resourcefulness and troubleshooting aptitude

PREFERRED SKILLS

ADDITIONAL SKILLS OR EXPERIENCE THAT WOULD BE CONSIDERED FAVORABLE FOR A CANDIDATE WHO IS

APPLYING FOR THIS POSITION.

• Excited about the start-up company “experience”.

• BS/MS in Computer science preferred.

• Full project lifecycle experience.

• Strong oral and written communication skills.

About the Role

The Engineering team in Bangalore, India is building products for the Martial Arts

fans across the world. As part of the engineering team, you would be expected to have

deep technology expertise with a passion for building highly scalable products.

This is a unique opportunity where you can impact the lives of people across 150+

countries!

Responsibilities

Own architecture, design, development, and implementation of different

modules/features of the services

Design, develop, deploy and support web applications.

Discover opportunities for performance improvements

Recommend ways to improve reliability, efficiency and code quality

Focus on continuous delivery and reducing complexity

Carry out code reviews and manage pull requests

Build applications based on micro-services architecture.

Requirements

Overall 1~3 years of experience in Backend development.

B. E/B. Tech in CS or equivalent streams from institute of repute (IITs, NITs, BITs,

IIITs or equivalent)

Strong object oriented design skills & knowledge of design patterns

Experience designing & developing distributed systems involving multiple web

services, databases (both SQL and NoSQL), caches, queues, etc. taking into

consideration scalability, availability, fault tolerance, consistency, etc. of the

overall system

Well-aware of and enforces development best practices: Unit Tests, Code Reviews,

Integration Tests, CI/CD, Monitoring, Alerting, etc.

1. B.E/ B.Tech / MCA in computer science or a related field
2. 6+ Years of Java/J2EE work experience.
3. Minimum 6 months in Team Lead position.

1. Object-Oriented design, patterns, algorithms, data structures
2. Well knowledge about Spring Hibernate framework.
3. Exposure to React JS / Angular JS.

1. Experience with SQL/No-SQL database technologies – MySQL, Mongo dB, Cassandra, Redis, PostgreSQL, etc.
2. Good working experience in OpenStack/AWS & cloud application development and deployment
3. Experience in Web services (REST or SOAP)

1. End to end web development experience is highly preferred
2. Good understanding of unit testing methodologies.
3. Good analytical and communication skills
4. Startup work culture mindset.

• Build an algorithm for artist to detect if their music was violating copy right infringement laws

• Successfully won Techcrunch Disrupt

• Optimized an algorithm that holds the current world record for Weisman Scores

We are looking for an experienced engineer with superb technical skills. You will primarily be responsible for architecting and building large scale data pipelines that delivers AI and Analytical solutions to our customers. The right candidate will enthusiastically take ownership in developing and managing a continuously improving, robust, scalable software solutions. The successful candidate will be curious, creative, ambitious, self motivated, flexible, and have a bias towards taking action. As part of the early engineering team, you will have a chance to make a measurable impact in future of Thinkdeeply as well as having a significant amount of responsibility.

Although your primary responsibilities will be around back-end work, we prize individuals who are willing to step in and contribute to other areas including automation, tooling, and management applications. Experience with or desire to learn Machine Learning a plus.

Experience

12+ Years

Location

Hyderabad

Skills

Bachelors/Masters/Phd in CS or equivalent industry experience

10+ years of industry experience in java related frameworks such as Spring and/or Typesafe

Experience with scripting languages. Python experience highly desirable. 5+ Industry experience in python

Experience with popular modern web frameworks such as Spring boot, Play framework, or Django

Demonstrated expertise of building and shipping cloud native applications

Experience in administering (including setting up, managing, monitoring) data processing pipelines (both streaming and batch) using frameworks such as Kafka, ELK Stack, Fluentd

Experience in API development using Swagger

Strong expertise with containerization technologies including kubernetes, docker-compose

Experience with cloud platform services such as AWS, Azure or GCP.

Implementing automated testing platforms and unit tests

Proficient understanding of code versioning tools, such as Git

Familiarity with continuous integration, Jenkins

Responsibilities

Architect, Design and Implement Large scale data processing pipelines

Design and Implement APIs

Assist in dev ops operations

Identify performance bottlenecks and bugs, and devise solutions to these problems

Help maintain code quality, organization, and documentation

Communicate with stakeholders regarding various aspects of solution.

Mentor team members on best practices

Required Skills

• Proficiency in CS concepts such as Data Structures, Algorithms and Operating systems.
• More than 2 years of experience in a development Team with very good knowledge and hands-on experience using Java technologies.
• Knowledge of Java MVC Framework Spring MVC / Spring Boot.
• Good SQL and NoSQL skills
• Knowledge of/experience developing Web APIs using RESTFUL services.
• Deep expertise in at least one programming language & tech stack to write maintainable, scalable, unit-tested code - preferably Java.

Good to Have

• Strong object-oriented design skills, knowledge of design patterns, and an uncanny ability to design intuitive module and class-level interfaces.
• Participation in open source projects.
• Active involvement in solving problems on Github, Stackoverflow and similar other community groups
• Hands on experience on PubSub patterns such as Kafka / RMQ
• Experience with full life cycle development in any programming language on a Linux platform

Responsibilities and Duties

• You will translate high level business problems into scalable design and code.
• Create libraries & Utilities for larger consumption.
• Should understand and have knowledge on the application security practices/vulnerabilities.
• You will write performant, unit-tested code, develop object-oriented models and design data structure for new software projects taking systems aspects into account.

Who we are

ixigo is an AI-based travel app that helps millions of users plan and book their trips every day. Launched in 2007, ixigo is proud to have built numerous industry-first AI-innovations over the last decade. With pre-emptive help from ixigo at every touch-point of their journey, 150 million Indians are now making smarter travel decisions every year. ixigo uses Artificial Intelligence for deal discovery, personalized recommendations, dynamic marketing, airfare predictions, train delay information, PNR confirmation status, infrastructure cost optimization, business intelligence and providing fully-automated customer service over chat and voice. This makes ixigo a lean, tech-intensive and capital-efficient travel business, serving millions of travelers with a team size of under 200. Founded in 2007 by Aloke Bajpai & Rajnish Kumar, ixigo’s investors include Sequoia Capital India, Fosun RZ Capital, SAIF Partners, MakeMyTrip & Micromax.

Role & Responsibility

As a Backend Developer, You will be involved in all aspects of development playing a critical role in the design, planning, development, and deployment and help develop best practices for future development. You will be working closely with Tech, Design and Quality team to build and launch the product.

• Code, develop, design and architect features related to the existing application. We expect you to own modules end to end and take pride in the work products you ship
• Design, implement and maintain highly scalable, multi-tier, distributed server software applications
• Deliver across the entire app life cycle, design, build, deploy, test, release to app stores and support
• Working directly with developers and product managers to conceptualize, build, test and release products
• Take responsibility for performance and stability for all server functions
• Continuously discover, evaluate, and implement new technologies to maximize development efficiency

Skills & Qualifications:

• At least an undergraduate degree in Computer Science, Engineering, preferably from IITs/Top RECs
• 2-5 years of experience at cutting edge organizations or startups
• Extensive experience in a Java server-side software design and development
• Proficiency in the implementation of algorithms and the use of advanced data structures to solve problems in computing.
• Experience with e-business/e-commerce applications and business environment is a must
• Any experience with internet companies or the travel industry will be a plus

Must have

• Good understanding of Java/J2EE and design patterns
• Strong knowledge of data structures and designing for performance, scalability and availability Knowledge in MongoDB and Web services
• Extensive use of Instruments and Shark to detect memory leaks and for performance optimization
• Good grasp of algorithms, memory management, and multithreaded programming
• Good to have - Python, NodeJS, Mysql, Redis, ElasticSearchGreat people skills!
• Able to fit in well within an informal startup environment and to provide hands-on management
• The high energy level and untiring commitment to drive oneself & the team towards goals

Compensation: Commensurate to skills & experience; comparable to the best in the industry.

Culture: ixigo is proud to have built an entrepreneurial culture that has become a folk-lore in the startup ecosystem. One in every four ixigems has gone on to build successful startups and companies. Our cultural values of integrity, empathy, ingenuity, awesomeness, and resilience have stood the tests of time and we’ve built a fun, flexible and creative work environment that is driven by people with a high degree of ownership. You will get to work with some of the smartest folks in the Indian startup ecosystem, and solve some of the toughest problems for the next billion users by using bleeding-edge technologies. Oh, and we have an awesome “play” area, great chai/coffee, free lunches (yes, they exist!) and a workspace you will fall in love with.