Senior Backend Developer

We are looking for a Backend Engineer with strong experience in building scalable, reliable, and high- performance systems. You will work on designing APIs, handling large-scale data, and building robust backend services using Java and Spring Boot.

Principal Duties/Responsibilities

• Design, develop, and maintain backend services and APIs using Java (Spring Boot)
• Build scalable and fault-tolerant systems to handle high traffic and large data volumes
• Design clean and efficient RESTful APIs and service contracts
• Collaborate with frontend, product, and design teams to deliver end-to-end features
• Optimize system performance, latency, and throughput
• Ensure high code quality through testing, code reviews, and best practices
• Debug production issues and ensure system reliability and uptime
• Participate in system design and architectural decisions
• Own services end-to-end, including development, deployment, and monitoring.

Required Skills and Knowledge

• Strong proficiency in Java
• Hands-on experience with Spring Boot / Spring Framework
• Solid understanding of data structures, algorithms, and OOPs concepts
• Experience building and consuming REST APIs
• Strong knowledge of databases:
• Relational (MySQL, PostgreSQL) • Basics of NoSQL (Redis, MongoDB, etc.)
• Understanding of concurrency, multithreading, and JVM internals
• Familiarity with caching strategies (Redis, in-memory caching)
• Experience with Git and version control workflows

Good to Have Experience with deployment strategies:

• Blue-Green deployments
• Canary releases • Rolling deployments
• Exposure to CI/CD pipelines (Jenkins, GitHub Actions, CircleCI, etc.)
• Basic experience with AWS / cloud infrastructure:
• EC2, S3, RDS • Load balancers, auto-scaling
• Experience with Docker and containerization
• Knowledge of microservices architecture and service communication (REST/gRPC, Kafka)
• Familiarity with message queues / streaming systems (Kafka, RabbitMQ)
• Experience with monitoring & observability tools (Prometheus, Grafana, ELK, Datadog)
• Understanding of security best practices (authentication, authorization, OAuth, JWT)

 Required Experience /Qualifications

• 4 years of backend development experience
• BTech / BE Computer Science.

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.

Key Responsibilities:

• Design, develop, and maintain Java-based applications using best practices and modern frameworks.

• Integrate and manage AWS services such as EC2, S3, RDS, Lambda, and CloudFormation.

• Develop RESTful APIs and microservices architecture to support scalable and robust applications.

• Implement CI/CD pipelines using tools like Jenkins, Git, and Docker to automate deployment processes.

• Monitor and troubleshoot application performance, defect triaging, and reliability issues, providing timely support and resolution.

• Collaborate with cross-functional teams to gather requirements, design solutions, and deliver high-quality software.

• Conduct code reviews and ensure adherence to coding standards and best practices.

• Stay updated with the latest industry trends and AWS services to continuously improve our technology stack.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

• 5-7 years of experience in Java development, with a strong understanding of object-oriented programming and design patterns.

• Proficiency in AWS services such as EC2, S3, RDS, Lambda, CloudFormation, etc.

• Experience with Spring Boot and other Java frameworks.

• Strong knowledge of SQL and NoSQL databases.

• Familiarity with containerization technologies like Docker and Kubernetes.

• Experience with CI/CD tools and processes.

• Excellent problem-solving skills and the ability to work independently and as part of a team.

• Strong communication skills and the ability to articulate technical concepts to non-technical stakeholders.

Build AI Systems That Change How Industries Operate

Tailored AI is not just another tech company. We’re building the McKinsey of AI systems a new kind of firm, made up of engineers who understand business deeply and use AI as a force multiplier.

As an SDE 2, you’ll lead and own the engineering for an entire product track, often working directly with clients and stakeholders. You’ll be the architect, the executor, and the problem-solver-in-chief. You’ll take vague problem statements, turn them into elegant solutions, and bring them to life in production.

What You’ll Do

• Architect and build AI-powered software solutions from scratch
• Own a full engineering track—backend, infra, integrations, and LLM workflows
• Interface with customers to align on specs, iterate fast, and deploy with confidence
• Mentor SDE 1s and Interns, conduct code reviews, and guide engineering quality
• Stay on top of AI trends, contribute to internal tooling and shared best practices

What You’ll Gain

• Leadership opportunties and fast progression to Senior SDE roles
• Deep knowledge of how AI is transforming industries while actually building it
• High ownership, zero bureaucracy, and direct influence on product direction
• Exposure to multi-agent AI systems, enterprise integrations, and scalable infra

Who You Are

• 2–3 years of strong backend engineering experience
• Proven track record of owning software modules and delivering in production
• Skilled in Python, Django/FastAPI, Postgres, AWS
• Exposure to system design and performance optimization
• Interest in AI tools like Langchain, OpenAI, vector DBs, etc.
• Strong analytical and communication skills

Tech Stack You’ll Work With

• Python, Django, FastAPI
• Postgres, Redis, S3
• EC2, Lambda, Cloudwatch
• Langchain, LLM APIs, Vector DBs
• REST APIs, Microservices, GitHub Actions

Some Real Problems You Might Work On

• Building a multi-agent career coaching assistant that guides users and automates job hunting
• Deploying a chatbot that generates employee performance reviews on-demand from HR data
• Designing an LLM pipeline to help Indian lawyers access precedents, statutes, and case law in seconds

Interview Process

1. Screening – A quick call with a Co-Founder to align on fit
2. CV + Puzzle + Programming – 1 hour round to gauge problem-solving and fundamentals
3. Live Coding – Solve a coding task using Python + docs
4. System Design – For SDE 2, a take-home problem and a detailed discussion round

• Building components for the company’s advanced health tech platform using Java, Solr, SpringBoot, DialogFlow
• Communicating effectively in a cross-functional product development team and presenting ideas and solutions effectively
• Prioritizing and managing workload and meeting critical project milestones and deadlines
• Effectively collaborating with a team as well as taking initiative and working independently to solve problems

Desired Candidate Profile

Role: Java developer

Location: Gurgaon 

Exp-3-5 yrs

Description:

1. 3+ years of Coding and development experience
   2. Hands on technical experience in must have technical requirements.
   3. Strong working knowledge of Developing, Designing and implementing large scale enterprise applications.
   4. Possess strong analytical skills, organizational skills, attention to detail, and excellent verbal and written communication skills.
   5. Ability to establish and maintain effective working relationships with co-workers, managers and internal and/or external customers.
   6. Knowledge of Agile process
   REQUIRED TECHNICAL SKILL SET
   Must have: AWS, Java, J2EE, Angular, React, Javascript, Spring MVC, Webservices (REST), Servlets, Hibernate
   Nice to have: EXTJS, JBoss Drools Rules Engine, JQuery
   RESPONSIBILITIES
   1. Analyses and evaluates detailed business and technical requirements.
   2. Codes and maintains complex components of information systems.
   3. Develops and performs unit testing and fixes defects identified during testing and re-executes unit tests to validate results.
   4. Ensure code quality by performing technical design and code reviews
   5. Perform integration via Services/Batch with external and internal systems; develop presentation, business/application services and persistence components
   6. Module level ownership and ensure that any development that occurs in that module is as per the agreed solution.
   7. Profiling & Performance turning of Javaapplications

Are you curious, motivated, and forward-thinking? At FIS you’ll have the opportunity to work on some of the most challenging and relevant issues in financial services and technology. Our talented people empower us, and we believe in being part of a team that is open, collaborative, entrepreneurial, passionate and above all fun. 

About the team 

In today’s highly competitive private equity market, firms must not only deliver superior returns, but also respond to more stringent reporting requirements and increasing demands for information – both from within and outside their organization. Throughout the industry there is mounting pressure on organizations to do more, requiring a clear technology strategy that not only addresses the demands of today, but also enables the growth and performance of tomorrow. 

What you will be doing 

This position would be part of CORE product development team to work on:

• Development of new modules & functionality.
• Fixing of the production bugs for existing clients.
• Contribute in team meetings to provide suggestions or raise concerns where necessary
• Participate actively in Agile SCRUM & play the role that SCRUM team demands
• Participate in technology discussions to perform POC’s & help in scaling the application
• Provide technical guidance to other team members.

What you bring: 

Knowledge / Experience

• 3-5 Years of hands-on experience on Java with knowledge of Garbage Collector, JMS, Event Based programming, Collections, Java Streams, Spring Dependency Injection Framework.
• Experience in Angular 2+.
• Experience working with Spring and Hibernate frameworks.
• Working knowledge on application Servers (WildFly)
• Strong experience in REST Web Services.
• Good knowledge in writing DB queries (Oracle, SQL Server)
• Experience working in Unix/Linux environment and proven knowledge of scripting languages
• Exposure to MQ / AMQ messaging system.
• Sound knowledge of Design Patterns

Skills

• Desired to have knowledge of JMX
• Agile – SCRUM or XP or TDD methodology preferred.

Qualifications

• Bachelor’s degree in Computer Science or equivalent

Competencies

• Fluent in English
• Excellent communicator – ability to discuss technical solutions to internal and external parties and adapt depending on the technical or business focus of the discussion
• Attention to detail – track record of authoring high quality documentation
• Organized approach – manage and adapt priorities according to client and internal requirements
• Self-starter but team mindset - work autonomously and as part of a global team

What we offer you

• A multifaceted job with a high degree of responsibility and a broad spectrum of opportunities
• A broad range of professional education and personal development possibilities – FIS is your final career step!
• A competitive salary and benefits
• A variety of career development tools, resources and opportunities

With a 50-year history rooted in the financial services industry, FIS™ is the world's largest global provider dedicated to financial technology solutions.  We champion clients from banking to capital markets, retail to corporate and everything touched by financial services. Headquartered in Jacksonville, Florida, our 53,000 worldwide employees help serve more than 20,000 clients in over 130 countries. Our technology powers billions of transactions annually that move over $9 trillion around the globe.  FIS is a Fortune 500 company and is a member of Standard & Poor’s 500® Index.

FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the https://www.fisglobal.com/-/media/fisglobal/files/policies/privacy/online-privacy-notice/english.pdf?la=en">FIS Online Privacy Notice.