Full Stack Developer - SDE 1

Role: Core Java Developer

Location: Bangalore. Chennai, Hyderabad, & Kolkata.

Experience: 8 years

Employment Type: Full-time with NAM Info Pvt Ltd (Payroll)

Skills required:

Strong expertise in Java| Spring Boot| Microservices| and REST API development for building scalable enterprise applications.

Proficient in Angular/React| JavaScript| HTML| and CSS for modern responsive user interfaces.

Strong experience in Functional| Performance| and automation Testing Experienced with SQL/NoSQL databases| including data modelling | query optimization| and integration.

Hands-on experience with AWS/Azure| Docker| Kubernetes| and CI/CD pipelines for cloud-native development.

Knowledge of Agile methodologies| testing frameworks| security standards| and software design principles to deliver high-quality solutions.

Job Description :

• We are seeking 2 experienced Senior Developers with a strong background in Java and Python, along with expertise in market risk or counterparty credit risk.
• These roles will play a crucial part in designing, building, and optimizing our risk systems, ensuring our technology supports accurate, real-time risk management and compliance.

Responsibilities :

System Design & Development :

• Design, develop, and enhance high-performance risk management applications using Java and Python.
• Collaborate with cross-functional teams to architect robust, scalable systems that handle large datasets for market and credit risk analysis.
• Implement complex algorithms and workflows to process, analyze, and report risk exposure across multiple portfolios.

Risk Systems & Data Management :

• Develop tools for efficient data processing, validation, and storage of market and counterparty credit risk data.
• Work with Quant teams to implement models for stress testing, scenario analysis, VaR (Value at Risk), and other risk metrics.
• Ensure data accuracy and consistency across various sources, enhancing data pipelines and integrations.

Required Skills & Qualifications :

Technical Proficiency:

Languages : Proficiency in Java and Python, with hands-on experience in designing and developing risk or trading applications.

Experience :

• 10+ Years of experience in software development, with a proven track record in Java and Python.
• Significant experience in financial services, specifically within risk management or related fields.
• Prior experience in building risk models, risk reporting frameworks, or risk data warehousing systems.

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

• Bachelor's degree in computer science or equivalent experience
• 2+ years of experience in software engineering.
• Experience with building B2B and consumer quality products, enabling business capability and objectives through technology.
• Strong cloud infrastructure experience with AWS.
• Experience in engineering practices such as code refactoring, design patterns, design driven development, continuous integration, building highly scalable applications and application security.
• Experience working with a development team using Agile methodology.
• Experience in container technologies like Docker/Kubernetes a plus.
• Hands-on skills working with SQL and No-SQL databases
  Broad experience across the following application development technologies and in depth skills with at least one: NodeJS, React, GraphQL,Python, R, Java/C++ and/or other open source application development frameworks.
• Ability to strategically balance test coverage, documentation and timelines (API/ Unit testing).
• Strong analytical and problem-solving skills paired with the ability to develop creative and efficient solutions.
• Able to work under competing priorities, manage expectations effectively and support the team under pressure; distinct user focus and quality mindset.

WHAT WE'RE LOOKING FOR

•  Bachelors or masters in software engineering, Computer Science or other relevant disciplines
•  2+ years experience as a Back-End or Full Stack Developer with hands-on experience working with Python web application development
•  Strong Knowledge in Python v3.x Language
•  Experience in REST APIs with JSON
•  Error handling and Logging 
•  Any DB knowledge 
•  Knowledge on Sumo Logic log aggregation is a plus
• Must know how to produce high quality, “Clean” code that is performant, maintainable and secure

Responsibilities:

• Design and build beautiful UI using the Angular framework
• Work closely with the UX and visual design team to build a highly engaging UI that predicts and exceeds user expectations
• Work closely with product management team to understand user needs; participate in process definition and technology selection to ensure appropriate testing of UIs
• Develop the UI using HTML5, CSS, and JavaScript to create great product experiences
• Build RESTful APIs that interface with the Cohesity backend systems
• Develop and Debug end to end from UI to the backend

Requirements:

• 3+ years of engineering experience with a proven track record of building high performance consumer web applications or services.

• good exposure in front end ui frameworks like reactjs, angular.

• thorough knowledge of html, css and javascript.

• very good analytical and problem solving skills.

• Willingness to constantly learn and if you are looking for ways to improve yourself and the processes around you.

• experience working in an agile team environment and are a self-starter, conscientious member of the team.

• passion to code, but also you’re awesome at it!

• Attention to detail

• Analytical mind and problem-solving aptitude
• Experience working with a startup will be a plus.

We indulge in all things that would excite you!!

• Work on large-scale, custom distributed software systems using Java, Scala, MongoDB, JavaScript (AngularJS, ReactJS) and the likes

• We work almost exclusively on customer site providing a mix of delivery and consulting services, so you'll be flexible about travel

• Employ Agile development including task estimation, test automation, deployment automation, and Continuous Integration to improve overall execution speed and product quality

• Work in a dynamic, collaborative, transparent, non-hierarchical, and ego-free culture where your talent is valued over a designation or title

• Spread the word about best practices in software development inside and outside Equal Experts community like Expert Talks

What we look for in you?

• 3 + years Hands-on in development and delivery experience with Java, Scala, and the likes

• Passion for software engineering and craftsman-like coding prowess

• Great OO skills, including strong design patterns knowledge

• Experience working with Agile, TDD, Lean and/or Continuous Delivery approaches and best practices, such as Extreme Programming (XP)

• Enthusiastic to work collaboratively with people and sharing your ideas to solve real business problems.