Pratham Software (PSI) is a global IT solutions company that helps SMEs, Fortune 1000/500 Companies, Global ISV's, and market leaders propel through a successful digital transformation across businesses. We are a digitally smart workforce of 300+ employees nurtured by our 18+ years of domain expertise and technological prowess. We boast an average 4+ years of client retention ratio across our international client base of industry leaders, spanning across seven geographies i.e. North America (USA & Canada), Europe (the UK, Germany, Nordics) Australasia (Australia, New Zealand) Asian Subcontinent (India, China).

Pratham Software (PSI) is a trusted services provider across domains like S/W Product Engineering, BPM, Enterprise Application Development, Data analytics and BI. Our global processes are driven by ISO 9001 : 2015 & ISO 27001 : 2013, with the progressive co-Partnering approach and an appetite to take risks and invest in client engagements. As a global operator in IT Services, we deeply believe in advancing through capacity and capability building that fuels our efficiency in managing a variable team size of 10 to 80 people with multiple project teams operating through different continents.

We create an everlasting customer experience driven by flexibility & agility and delivering tangible, measurable results.

Job Description :

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.

The candidate will have responsibilities across the following functions :

API Contract Stability at Scale :

- Design and evolve Quarkus/REST APIs without breaking existing consumers.

- Drive contract-first design, versioning strategies, backward compatibility, and API evolution.

Reliable Data Integration :

- Build resilient integration patterns for unreliable upstream systems.

- Implement idempotent consumers, dead-letter queues, circuit breakers, reconciliation pipelines, Kafka-based processing, and Spanner-backed storage.

Entity Resolution :

- Deduplicate and reconcile provider records across hundreds of heterogeneous data sources.

- Design MDM patterns, confidence scoring, and deterministic/probabilistic matching systems.

AI-Augmented Engineering :

- Leverage Cursor and Claude Code to improve engineering velocity while maintaining quality.

- Build strong review practices, evaluation frameworks, and comprehensive test coverage.

Observability for Data Platforms :

- Go beyond service uptime by monitoring data freshness, lineage, quality, and consistency.

Requirements :

- 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 optimisation.

- 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 and 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 normalise 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 modelling 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 sceptical 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 and 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 behaviour, 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 and Tools : Java 21 / Quarkus, React / TypeScript, GCP (Spanner, BigQuery), Kafka, Docker / Kubernetes, GitHub Actions, Sentry, REST / GraphQL / gRPC, Cursor / Claude Code / Codex.

Why Explore a Career at Pratham Software (PSI) :

Our core values of customer focus, respect for individual/people, innovation, and excellence have been the guiding force behind our success. Our values help the organisation to build a culture based on excellence and innovation.

We nurture a culture that puts people in the forefront. Our strength is our people, processes, productivity and quality.

We believe in creating leaderships at different levels according to the business requirements. We have in place a dynamic and structured system for training & development needs of the employees. People from diverse backgrounds and geographies have come together in pursuit of a common vision. Intensive training & development programs facilitate on-the-job learning.