Search Specialist

Position Name : Senior Software Architect

📍 Location : UB City, Bengaluru (Hybrid – 3 days in office)

🕒 Experience : 11 to 18 Years

📅 Notice Period : Immediate to 1 month

👥 Open Positions : 2

Role Overview :

• We are looking for a Senior Software Architect to design, build, and scale high-performance SaaS B2B applications.
• The ideal candidate will have deep expertise in MERN stack (MongoDB, Express.js, React.js, Node.js), AWS, and microservices-based architectures.
• This role requires at least 3 Years of experience in an Architect position, with a strong background in building scalable products and handling daily releases.

Key Responsibilities :

• Architect and develop scalable SaaS B2B products using React, Node.js, GraphQL, Elasticsearch, and Micro Frontend Architecture (MFE).
• Design and implement microservices-based distributed systems and RESTful APIs.
• Optimize frontend interfaces using React, Redux, Next.js, HTML, and CSS.
• Develop robust backend APIs using Node.js, Express.js, and MongoDB/PostgreSQL.
• Utilize AWS services (EC2, S3, SQS, SNS, DocumentDB, OpenSearch) and containerization (Docker, Kubernetes).
• Implement scalable database schemas and ensure optimal performance.
• Work with GraphQL for efficient data querying and manipulation.
• Ensure security, reliability, and high availability of the platform.
• Lead and mentor development teams, conduct code reviews, and enforce best practices.
• Collaborate with cross-functional teams to deliver business-driven software solutions.

Required Skills & Experience :

✅ 3+ Years as a Software Architect and currently in an Architect role.

✅ 5+ Years of experience in full-stack development with the MERN Stack.

✅ Strong knowledge of scalable architectures, microservices, and cloud-native SaaS products.

✅ Experience in AWS deployment, cloud infrastructure, and DevOps.

✅ Hands-on experience with Micro Frontends (MFE).

✅ Experience in handling everyday releases and working in Agile environments.

✅ Strong problem-solving skills, logical thinking, and architectural decision-making.

✅ Bachelor’s or Master’s degree in Computer Science or related field.

Preferred :

• Experience in B2B SaaS product development.
• Background in product-based companies.
• No prior experience in Walmart or similar large enterprises.
• Candidates should be based in Bengaluru (Outstation candidates will not be processed).

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.

Full Stack Developer - Responsibilities:

1. Perform design, development and support of existing and new products.
2. Understand product vision and business needs to define product requirements and product architectural solutions.
3. Develop architectural and design principles to improve performance, capacity, and scalability of product.
4. Work with Product Manager in planning and execution of new product releases.
5. Consult business management team to clarify objectives and functional requirements for new or modified products.
6. Work with domain, product management and product engineering teams in the solution engineering efforts.
7. Work with pre-sales and product management teams in solution demonstrations.
8. Maintain product roadmap and architectural standards that assure product development projects optimally align with business objectives.
9. Define product validation policies so as to deliver products that meet system and project expectations.
10. Facilitate the creation, review, and sign off of project deliverables.
11. Provide support for production escalations and problem resolution for customers.
12. Assist technical team with issues needing technical expertise or complex systems knowledge.
13. Develop broad knowledge about current and future product features.
14. Analyze market segments and customer base to develop market solutions.
15. Define product requirements that address market opportunities.

Skills:

Spring, Spring Microservices, Spring Data, SPRING BOOT & HIBERNATE, Java, JPA Oracle Certified Professional (Desirable), Java SE 8, SQL, AWS, JavaScript, Angular, ElasticSearch

Your Key Responsibilities

You will build robust, secure and scalable micro-services

• You will be responsible to implement RESTful service
• You will take ownership to build scalable, reliable and performant code that complies with our internal code guidelines
• Take part in code reviews and architecture development
• You will influence how we build individual features and products, and bring in best practices and patterns that can be used for engineering lifecycle
• You will be driving architecture and design discussions and will be responsible to run and maintain good infrastructure

What to Bring

B.Tech/ B.E. in Computer Science from a reputed college or related technical discipline with 5-8 years of experience in software development

• Knowledge for data structure and an eye for architecture
• Familiar with Git Architecture
• Experience with reactive programming
• Experience in building RESTful APIs with monitoring, fault tolerance and metrics
• Exposure to relational and NoSQL databases (MongoDB, Redis)
• Exposure to server-side services using ElasticSearch and ESB - Camel, ActiveMQ
• Experience in MEAN stack development
• Strong experience with AWS Stack

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.