Jobs at Kumaran Systems

Develop and maintain secure, scalable Node.js backend applications, REST APIs, middleware, and MongoDB data models. Implement authentication, authorization, secure file handling, API integrations, validation, logging, and error handling. Write Jest unit and integration tests, collaborate on CI/CD pipelines, troubleshoot service communication, and modernize legacy code while preserving functionality.

Provides operations analysis and application support in an enterprise Kubernetes environment. Requires experience with DevOps, GitHub, GitOps, and Azure DevOps, along with strong English communication skills. Candidates must be eligible to work in Canada and interested in converting to a full-time CIBC role.

Manage enterprise application releases, upgrades, roadmaps, planning cycles, change requests, and project delivery. Coordinate vendors, requirements, design discussions, infrastructure and integration dependencies, stakeholder communications, risks, and release activities including patches, emergency releases, and mandatory upgrades. Serve as a bridge between business needs and technical delivery, with financial services technology experience preferred.

Develop and maintain scalable backend applications using Java or Golang, REST APIs, microservices, Docker, Kubernetes, and cloud platforms. Responsibilities include deployment, CI/CD automation, testing, debugging, performance optimization, code reviews, architectural discussions, production troubleshooting, and collaboration with cross-functional teams. Experience with databases, Git, cloud-native systems, observability, messaging platforms, and infrastructure tools is valuable.

Designs and builds scalable .NET and C# backend services, Web APIs, Azure Functions, Service Bus integrations, and App Service deployments. Manages SQL Server and Azure SQL data performance, CI/CD automation, observability, security, testing, and production incident resolution. Collaborates with architecture, QA, and DevOps teams to deliver secure Azure solutions, reviews code, enforces standards, and mentors developers.

Validate large-scale ETL and data pipelines using Databricks and PySpark, perform data quality checks and reconciliation, and develop automated QA coverage. The role also uses GitHub Copilot, GitHub Actions, AI agents, prompt engineering, and AI-driven knowledge bases to improve testing, documentation, and development efficiency. Responsibilities include test planning, defect management, regression testing, anomaly detection, and collaboration across business, operations, and application development teams.

Leads the design, development, deployment, and production support of Python backend services and automation tooling. Builds REST APIs, administers Linux systems, writes Bash automation, manages systemd services, diagnoses production issues, and collaborates with DevOps on CI/CD, containers, and server hardening. Requires strong Oracle database, security, packaging, Git, and end-to-end service ownership experience.

Design, develop, and maintain Azure-based ETL/ELT pipelines and data platforms. Build transformations with Databricks, PySpark, and SQL; manage Azure SQL data models and performance tuning; execute on-premises-to-Azure migrations; deploy Azure applications; implement secure storage with ADLS Gen2 and Delta Lake; and monitor, troubleshoot, and optimize cloud data resources.

Business Systems Analyst supporting commercial banking billing automation and data modernization initiatives. The role involves mapping current and future states, eliciting business and solution requirements, facilitating stakeholder discussions, partnering with business and technology teams, and delivering profitability insights. Candidates should be independent, self-reliant, and experienced with commercial banking products, billing, Azure, Databricks, and Power BI.

Analyze and document business and system requirements for enterprise payments technology initiatives. Translate business needs into functional and technical specifications, collaborate with product, development, and business stakeholders, and support payment enhancements, integrations, regulatory initiatives, testing, UAT, and production implementations. The role requires deep expertise in wire payments, ACH/EFT, RTP, SWIFT, ISO 20022, cross-border and domestic processing, banking, and stakeholder management.

Analyze payroll and pension business requirements, processes, rules, workflows, and legacy Oracle Forms functionality. Produce BRDs, FRDs, user stories, use cases, process flows, and acceptance criteria. Collaborate with stakeholders, developers, and QA teams on modernization to Python/Django, functional testing, UAT, defect resolution, and business validation.

Leads QA delivery across multiple projects by defining test strategy, managing functional, automation, integration, and UAT testing, and improving test efficiency. Oversees estimation, budgeting, costing, resource planning, governance, quality metrics, risks, and stakeholder communications. Manages and mentors distributed QA teams, handles escalations, and supports pre-sales, solutioning, and RFP activities.

Leads the modernization of legacy Oracle Forms applications into Python and Django web applications. Responsibilities include technical architecture, Oracle and PL/SQL analysis, REST API development, database optimization, team leadership, code reviews, testing, deployment, production troubleshooting, and solution design for Oracle features, Pro*C, and shell integrations. Collaborates with business, QA, project management, and DevOps teams while maintaining coding standards and delivery quality.

Leads end-to-end migration of legacy Oracle Forms applications to Python/Django web applications. Responsibilities include project planning, stakeholder communication, scope and risk management, development coordination, testing, data integrity, release planning, deployment, cutover, and post-go-live support. Requires strong project management, stakeholder management, Python/Django knowledge, REST API familiarity, legacy modernization experience, and SDLC exposure.

Leads end-to-end migration of legacy Oracle Forms applications to Python and Django web applications. Manages project scope, timelines, resources, risks, stakeholders, development coordination, API integration, database activities, testing, data integrity, release planning, production cutover, and post-go-live support. Collaborates with business analysts, architects, developers, QA, and DevOps teams while ensuring compliance, functional parity, and successful delivery.

Analyze and reverse-engineer legacy Oracle Forms applications, PL/SQL, database objects, reports, workflows, and integrations. Document business rules and technical dependencies, support migration to Python/Django applications, validate data integrity and functional parity, troubleshoot complex issues, and collaborate with analysts, architects, developers, and QA teams.

Designs, develops, and maintains automated testing frameworks and reusable scripts using Java, Selenium, and Playwright. Executes functional, regression, smoke, end-to-end, and API tests; integrates suites with Jenkins CI/CD pipelines; analyzes results and reports defects. Collaborates with development, business analysis, and QA teams to ensure coverage, participates in Agile ceremonies, and improves automation effectiveness.

Develop and maintain automated testing frameworks and scripts using Java, Selenium, and Playwright. Execute functional, regression, smoke, end-to-end, and API tests; integrate suites with Jenkins CI/CD pipelines; analyze results and report defects. Collaborate with development and QA teams to ensure coverage, participate in Agile ceremonies, and improve automation effectiveness. The role requires expertise in Java, web technologies, test frameworks, build tools, SQL, version control, and API testing.

Leads end-to-end test strategy, planning, execution, and delivery across multiple projects and releases. Manages QA teams, drives web, API, mobile, and automation testing, oversees environments and test data, and manages defects and release readiness. Partners with stakeholders, provides quality metrics and risk reporting, integrates automation with CI/CD, develops team capabilities, and ensures QA governance and continuous improvement.

Leads enterprise modernization of legacy data platforms, ETL pipelines, and data warehouses into scalable cloud-native architectures. Defines target-state architecture, migration roadmaps, engineering standards, reusable frameworks, and modernization patterns. Requires hands-on expertise with Databricks, Microsoft Fabric, Azure Data Factory, lakehouse architecture, data modeling, CDC, streaming, governance, data quality, automation, and deployment frameworks. The role also assesses existing environments, optimizes performance, and delivers enterprise-scale migration projects.