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Job Title: Lead Web App Developer - Backend

Experience: 10–15 Years

Location: Bengaluru

Role Overview:

We are seeking an experienced Lead Web App Developer - Backend to design and maintain scalable, cloud-based backend systems. This role demands expertise in microservices, AWS, and backend technologies to deliver efficient and high-performing applications.

Key Responsibilities:

• Build and maintain scalable backend systems for cloud-based web applications.
• Develop microservices using AWS (Lambda, SQS, SNS) and databases (MySQL, NoSQL).
• Design and implement REST APIs for seamless communication between systems.
• Create containerized solutions with Docker for efficient deployment.
• Solve real-world problems with enterprise-class product designs.
• Contribute to key decisions on product and technology direction.
• Promote frameworks, standards, and new technologies within the team.

Required Skills:

• Experience: 10+ Years in backend development; 3+ Years in large-scale, microservices-based projects.
• Backend Technologies: Proficiency in Python, Node.js, and Java.
• Cloud Expertise: Strong experience with AWS services (Lambda, SQS, SNS).
• Database Skills: Expertise in MySQL and NoSQL databases.
• Microservices Architecture: Deep understanding of distributed systems and scalability.
• DevOps Tools: Hands-on experience with Docker.
• API Development: Proven expertise in designing and consuming REST APIs.
• Soft Skills: Excellent problem-solving and communication abilities.

Why Join Us?

• Work on impactful projects with real-world applications.
• Solve complex problems in a dynamic, fast-paced environment.
• Collaborate with a team of skilled professionals.

About the Role

We’re looking for a Senior Software Engineer who takes ownership seriously, someone who

designs solutions, ships them, and stands behind them in production. You’ll work across a

technically interesting stack on systems that process millions of provider records.

This is a role with real scope: you’ll influence architecture, shape engineering practices, and

work directly with product and leadership to solve hard problems in a domain that genuinely

matters.

Problems You’ll Solve

Healthcare’s provider data problem is a hard distributed systems problem. Hundreds of primary

sources state boards, payers, federal registries each with their own schema, SLA, and failure

mode. Downstream, real credentialing and network decisions depend on whatever truth we can

surface.

API contract stability at velocity. You’re building a platform hundreds of integrations depend

on. How do you evolve a Quarkus/REST API, adding resources, deprecating fields, shifting data

models without breaking consumers? Contract-first design, versioning strategy, and backward

compatibility aren’t theoretical here.Integration reliability at scale. Upstream sources go down, change schemas, and return dirty

data. You’ll build the patterns that absorb that chaos idempotent consumers, dead-letter queues,

circuit breakers, and reconciliation pipelines on top of Kafka and Spanner.

Entity resolution on messy real-world data. Deduplicating and reconciling provider records

across hundreds of heterogeneous sources, where a wrong merge has downstream

consequences. MDM patterns, confidence scoring, and deterministic vs. probabilistic matching

at scale.

AI-augmented velocity without regression. We use Cursor and Claude Code as force

multipliers. The engineering problem is building review culture, eval frameworks, and test

coverage that keeps quality high as output volume increases.

Observability for a data platform, not just a service. Uptime isn’t enough; you need to know

when a provider record is stale, inconsistent, or wrong. You’ll instrument data quality and

lineage, not just p99 latency.

What We’re Looking For

Engineering fundamentals

* 8+ years building and maintaining production-grade systems including systems where

your API is someone else’s dependency and breaking it has real downstream

consequences

* Track record of shipping high-quality software in fast-paced environments you define the

solution, not just implement a spec

* Strong engineering fundamentals: testing, clean code, maintainability, and performance

optimization

* Experience improving system reliability you’ve debugged hard production problems and

made them not happen again, with SLOs and alerting to prove it

* Comfort mentoring earlier-career engineers and influencing technical direction

API & architecture depth

* Deep experience designing and evolving APIs under active consumers: versioning

strategy, backward compatibility, and contract-first thinking

* Fluency across API paradigms REST, GraphQL, gRPC, and async/event-driven APIs

(webhooks, Kafka topics as contracts) and the judgment to know when each is the right

tool

* Hands-on experience with service-oriented and distributed architectures you’ve worked

across SOA, microservices, and event-driven patterns and can make principled tradeoffs

between them based on coupling, latency, and operational complexity

* Experience designing for API consumers as first-class stakeholders SDK ergonomics,

pagination, rate limiting, error semantics, and documentation as part of the contract, not

an afterthought

* Experience with integration patterns at scale you’ve built or maintained systems that

aggregate and normalize data from many heterogeneous upstream sources, and you

understand the reliability and consistency tradeoffs that come with it: circuit breakers, retry

strategies, idempotency, eventual consistency

Data-intensive systems• Strong data modeling instincts you understand the difference between a schema that’s

easy to write and one that’s easy to query, evolve, and trust at scale

* Experience with high-throughput, event-driven systems: you understand ordering

guarantees, consumer lag, and failure modes in Kafka-like architectures

* Strong sense of data quality: lineage, freshness, and correctness matter as much to you

as throughput

AI-era engineering

* In an AI-augmented engineering environment, you write less and review more you’re

skeptical of generated code in the right ways, and you use that leverage to ship 2–3x

what a non-AI-fluent engineer would

* Fluency with AI-assisted engineering tools (Cursor, Claude Code, MCP servers) this is

part of how we work, not a nice-to-have

Communication & compliance

* Strong written and verbal communication you can explain a technical tradeoff to an

engineer and a product manager in the same conversation

* Experience with sensitive data and security best practices (PII, access controls) in

regulated or compliance-adjacent environments

Nice to Have

* Experience building or operating AI/LLM pipelines in production (not just prototypes)

including eval frameworks, fallback behavior, and monitoring for non-deterministic outputs

* Experience with entity resolution or MDM systems at scale deduplicating messy

real-world data across disparate sources

* Familiarity with healthcare credentialing workflows

* Familiarity with healthcare, compliance, or regulated environments

Technologies & Tools

Java 21 / Quarkus · React / TypeScript · GCP (Spanner, BigQuery) · Kafka · Docker /

Kubernetes · GitHub Actions · Sentry · REST / GraphQL / gRPC · Cursor / Claude

Code / Codex

Experience/skills required

Key Qualifications

• Developer Role:
• Preferably Java 
• CI/CD - DevOps (Exposure)
• Messaging Middleware (Exposure to Kafka or any other messaging middleware)
• DB: Oracle (pref) - any other Database platforms (SQL/NoSQL)
• Server Side: Java, Spring boot Microservices
• Exposure to Any Major Cloud Platform (AWS/Azure/GCP)

• Conducting analysis of website and application requirements.
• Writing back-end code and building efficient PHP modules.
• Developing back-end portals with an optimized database.
• Troubleshooting application and code issues.
• Integrating data storage solutions.
• Responding to integration requests from front-end developers.
• Finalizing back-end features and testing web applications.
• Updating and altering application features to enhance performance.

• Bachelor’s degree in computer science or a similar field.
• Knowledge of PHP web frameworks including Yii, Laravel, and CodeIgniter.
• Knowledge of front-end technologies including CSS3, JavaScript, and HTML5.
• Understanding of object-oriented PHP programming.
• Previous experience creating scalable applications.
• Proficient with code versioning tools including Git, Mercurial, CVS, and SVN.
• Familiarity with SQL/NoSQL databases.
• Ability to project manage.
• Good problem-solving skills.

SAP HYBRIS

Skill Set:

• SAP Hybris platform with 3 -10  years of IT experience and  min of 4 years of experience in leading SAP Hybris based projects.
• Hands on experience in understanding complex eCommerce challenges / problems and provide innovative solutions & design to solve them.
• Mentors team members and should be able to pass on solutions / design to junior team members while fascinating them in delivering complex deliverables
• Excellent knowledge and experience in building scalable, flexible, robust and efficient ecommerce applications using SAP Hybris ecommerce  platform
• Architecture, design & develop full stack modules and components for eCommerce applications.
• Good working knowledge on integrations such as Data Hub, payment, SAP, web services, y2y sync etc
• Migration experience is desirable
• Deliver code on time and quality expectations
• Experience on code review and unit testing
• Certification in SAP Hybris is a plus
• Knowledge of any additional technologies such as Groovy,  SAP ECC ERP application integrations
• Familiar in estimation techniques and execution plan
• Experience in Agile / Scrum based software development methodology

• Graduation is a must. MBA is highly desirable
• Relevant work experience of 6 – 7 years in lending is a must
• Deep knowledge and relevant work experience of Microfinance products and BC is a must
• High standards of accuracy, integrity and attention to detail
• Excellent communication skills
• Proven experience and ability to manage a team