Jobs at Kumaran Systems

Own the technical delivery of AI solutions from stakeholder engagement and conceptualization through proof of concept, productionization, and maturity. Design multi-agent, generative AI, RAG, and fine-tuned LLM solutions; develop evaluation and AgentOps practices; and apply NLP, computer vision, and predictive models. Support pre-sales, create technical artifacts, guide engineering teams, and deploy scalable solutions using microservices, containers, Kubernetes, AWS, and Azure.

Provide L2/L3 production and non-production support for Java applications and integration middleware. Monitor application health with APM tools, troubleshoot IBM MQ messaging and Autosys jobs, analyze Linux/Unix logs, and write SQL queries for troubleshooting and reporting. Perform root cause analysis, implement permanent fixes, support deployments and changes, maintain runbooks, and communicate incidents and status updates to technical and business stakeholders.

Develop and maintain enterprise Power BI dashboards, reports, scorecards, data models, DAX measures, Power Query transformations, and ETL processes. Connect and manage data from SQL Server, Azure, Excel, APIs, and cloud platforms. Optimize performance, refreshes, workspaces, gateways, deployment pipelines, and row-level security. Translate stakeholder requirements into scalable reporting solutions while supporting data governance, troubleshooting, testing, documentation, and production enhancements.

Design, develop, test, and maintain scalable backend applications, microservices, RESTful and gRPC APIs using Golang and Java. Build Spring Boot services, implement JWT authentication, optimize Redis and Microsoft SQL Server integrations, manage Solace messaging, and maintain CI/CD pipelines with GitHub and Azure DevOps. Containerize and deploy applications using Docker and Kubernetes. Collaborate with cross-functional Agile teams, participate in code reviews, troubleshoot issues, and improve performance and reliability.

Develop, test, maintain, and support applications on the IBM i/AS400 platform. Write RPG, RPGLE, CL, and SQL programs; manage DB2/400 data; troubleshoot production issues; optimize performance; conduct code reviews; and translate business requirements into technical specifications. Collaborate with business analysts, QA, and infrastructure teams while supporting enhancements, upgrades, integrations, documentation, and coding standards.

Designs, builds, and optimizes Azure data pipelines and lakehouse solutions using Databricks, Python, Spark, ADF, Delta Lake, and ADLS. Develops governed, secure, reliable datasets using ETL/ELT, dimensional modeling, CI/CD, testing, monitoring, and documentation. Collaborates in Agile teams, engages stakeholders, mentors junior engineers, and uses Generative AI responsibly to scaffold code, generate tests, and optimize SQL and Spark.

Provides Level 2/3 production support for mission-critical applications on Linux and OpenShift. Responsibilities include monitoring, incident and problem management, AutoSys scheduling, FeedHub integrations, certificate lifecycle management, CI/CD deployments, release management, root cause analysis, documentation, automation, and on-call support.

Provide L2/L3 production support for mission-critical banking applications on Unix/Linux. Administer WebLogic, IBM MQ, and AutoSys; monitor system health; troubleshoot performance and incidents; perform root cause analysis, deployments, patching, and configuration changes; coordinate with technical teams; and participate in on-call and major incident management while maintaining security and compliance standards.

Design, develop, and optimize scalable Azure Databricks data pipelines, lakehouse solutions, and cloud data platforms. Build batch and streaming ETL/ELT processes using Spark, PySpark, Delta Lake, Auto Loader, and Structured Streaming. Implement data modeling, SCD, CDC, governance, Unity Catalog, integrations, CI/CD, monitoring, testing, and performance tuning while collaborating with architects and stakeholders.

Implement, configure, administer, integrate, and support the RSA Archer GRC platform. Translate risk and compliance requirements into workflows, assessments, dashboards, reports, and applications. Manage access, environments, releases, integrations, data quality, upgrades, troubleshooting, and platform enhancements. Collaborate with business, risk, compliance, audit, security, and IT stakeholders; support frameworks including ISO 27001, NIST, COBIT, SOX, PCI, and GDPR; provide training and documentation.

Develop and maintain secure, scalable Azure-hosted enterprise applications using C#, .NET, RESTful APIs, microservices, Angular or React, and SQL databases. Implement authentication, CI/CD pipelines, automated testing, monitoring, and cloud-native solutions. Participate in Agile ceremonies, architecture and code reviews, documentation, troubleshooting, and performance improvements. Collaborate with cross-functional stakeholders and mentor junior developers. Use and promote responsible AI-assisted development with tools such as GitHub Copilot and ChatGPT.

Designs and maintains GitHub Actions CI/CD pipelines for build, testing, security scanning, and multi-environment deployment. Automates infrastructure provisioning and deployments with IaC and scripting, manages cloud and container platforms, and implements monitoring, centralized logging, security controls, and secrets management. Participates in incident response and reliability improvements while collaborating with development, QA, and infrastructure teams to promote DevOps practices, standardization, documentation, and efficient software delivery.

Develop Java applications using Vue, Spring Boot, database queries, and Copilot-assisted coding. Apply Agile practices, communicate effectively with clients, work independently, and adapt to established processes within an offshore delivery model.

Performs functional, integration, system, regression, smoke, and sanity testing for web or enterprise applications. Analyzes requirements, designs test cases and data, executes tests, validates workflows and data integrity, manages defects in JIRA or similar tools, and prepares QA reports and release sign-offs. Executes and maintains basic automated scripts using tools such as Selenium, Cypress, or Playwright, while collaborating with product, development, business analysis, and DevOps teams in Agile environments.

Build and maintain batch and streaming ETL pipelines using Databricks, Apache Spark, Azure, and Delta Lake. Develop CDC and SCD1/SCD2 solutions, data models, federated lakehouse connections, and governed Unity Catalog environments. Configure catalogs, schemas, tables, views, functions, and volumes while optimizing Spark performance through partitioning and liquid clustering. Apply data warehousing, security, CI/CD, and DevOps practices to deliver reliable cloud data platforms.

Supports PMO governance, project and portfolio data management, financial tracking, reconciliation, forecasting, reporting, dashboards, and compliance. Monitors schedules, milestones, risks, issues, and dependencies; coordinates governance meetings; prepares leadership reports; and follows up on action items. Collaborates with project managers, Finance, PMO leadership, and global stakeholders while improving processes and maintaining accurate, confidential project information.

Designs and maintains Python and Robot Framework automation, performs Selenium web testing, builds reusable test components, integrates suites into CI/CD pipelines, analyzes results, collaborates on defect resolution, and supports test planning, documentation, and quality improvement.

Design, develop, test, deploy, and maintain scalable full-stack banking applications. Build Java Spring Boot and Python APIs, microservices, React interfaces, database integrations, and third-party integrations. Participate in code reviews, testing, debugging, performance optimization, solution design, and technical decision-making. Support CI/CD and DevOps practices while collaborating with product, architecture, business, and cross-functional teams to deliver secure digital transformation solutions.

Leads enterprise-wide QA automation and quality engineering strategy across banking platforms. Responsibilities include transforming manual QA teams into automation-first organizations, integrating testing with CI/CD and DevOps, overseeing performance and non-functional testing, ensuring regulatory compliance, managing stakeholders, and developing QA talent. The role requires deep banking domain knowledge, hands-on automation expertise, cloud experience, and leadership of large-scale quality initiatives.

Business Systems Analyst supporting a Quantitative Risk Management platform in banking and financial services. Gathers and documents requirements, analyzes risk-management processes, develops functional specifications, and performs SQL-based validation. Coordinates with business, technology, QA, PMO, and risk teams on implementations, testing, UAT, defect resolution, regulatory compliance, audit, and post-production support. Maintains requirements and project documentation in Jira and Confluence.