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Tech Lead – Architct (Java)
Tech Lead – Architct (Java)

Tech Lead – Architct (Java) at Resources Valley · Jaipur · 8 - 15 years · ₹25L - ₹36L / yr · Profitable · Posted 21 Jun 2026

Resources Valley's logo

Tech Lead – Architct (Java)

Manind Gupta's profile picture
Posted by Manind Gupta
8 - 15 yrs
₹25L - ₹36L / yr
Jaipur
Skills
skill iconJava
Microservices
skill iconAngular (2+)
skill iconReact.js

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

Read more
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About Resources Valley

Founded :
2015
Type :
Services
Size :
20-100
Stage :
Profitable

About

Resources Valley is all about "finding extraordinary talents for businesses". We are your guides and assistants in the global marketplace for available talent across the different fields. Our expertise brings impressive results in connecting companies with the right personalities at the lowest cost, so you can focus on growing and developing your business—all while saving valuable time and resources.. Resources Valley is not just a service provider, but also a strategic business partner. Our ultimate goal is to ensure that your business has the right skills and talents to grow and succeed in a competitive market with our extensive network of certified HR professionals, Resources Valley has experience helping clients across the nation. Contact Us if you are Seeking talented and experienced professionals to develop your wonderful projects. Are looking for for niche specialists to bring a fresh perspective to your offices across in India , and beyond. Setting a short-term recruitment process and need fast and action-oriented solutions; Wondering who may be the most qualified specialists for your projects, where to find them, and how to relocate them. We are your honest, open, efficient and innovative recruitment assistants, and we understand your mission and values. Here are the little things that make us different and special Cost-Effective & Efficient Our cost-effective HR solutions help enterprises save on valuable resources, such as time and money, while also meeting their needs, time frames, and quality expectations. Long-Term Partnerships Our goal is to be viewed as a true partner to our clients rather than just a service provider. As a long-term strategic business partner. This ensures better client service, communication, and engagement.
Read more

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Manind Gupta

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Shubham Vishwakarma

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I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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