Jobs at Kumaran Systems

Manage and optimize Azure DevOps and GitHub CI/CD pipelines, repositories, releases, artifacts, and environment configurations. Provision Azure resources using ARM templates, Bicep, and Terraform; enforce Azure Policies and RBAC; troubleshoot build, deployment, and production issues; and support migrations, standardization, and platform modernization. Collaborate with cross-functional teams and stakeholders to prioritize DevOps requests, deliver quality work, and maintain documentation and operational procedures.

Assess and modernize an enterprise automation platform, including Java-Selenium frameworks, architecture, code quality, test coverage, stability, scalability, reporting, CI/CD integrations, execution strategies, and technical debt. Develop a prioritized improvement roadmap, recommend technology and governance enhancements, evaluate Playwright and AI/GenAI opportunities, and mentor QA and automation teams while engaging senior stakeholders.

Design, develop, and maintain Python-based automation frameworks using Selenium, Playwright, and PyTest. Create automated UI and API tests, integrate testing with CI/CD pipelines, validate databases with SQL, analyze results, resolve defects, and ensure coverage across web applications. Collaborate in Agile teams and continuously improve testing processes. Preferred experience includes Docker, performance testing, cloud platforms, BDD frameworks, accessibility, and cross-browser testing.

Analyze and deliver front-, middle-, and back-office capital markets initiatives across trading, risk, operations, compliance, and technology. Define requirements, process maps, data mappings, controls, regulatory reporting, and testing strategies. Support trade lifecycle modernization, STP improvements, platform and vendor evaluations, Agile delivery, UAT, production readiness, and change management across multiple asset classes and standards including FIX, SWIFT, and ISO 20022.

Own the full Power BI analytics lifecycle, including requirements gathering, process mapping, data modeling, dashboard and paginated report development, governance, security, deployment, testing, and user adoption. Translate business KPIs into semantic models and datasets, optimize DAX and query performance, coordinate Agile delivery and UAT, document data lineage and quality processes, and train stakeholders in self-service analytics.

Analyzes business and system requirements in Agile environments; configures and administers Jira boards, workflows, fields, permissions, dashboards, and test management tools. Defines user stories, acceptance criteria, use cases, and functional documentation; models business processes; coordinates UAT and defect resolution; validates data using SQL and APIs; and facilitates workshops, backlog refinement, demos, and stakeholder communications.

Design, develop, and maintain scalable Playwright automation frameworks using Java and Python. Build reusable test automation, integrate suites with Azure DevOps and Jenkins CI/CD pipelines, and perform API automation. Implement AI-enabled testing capabilities including script generation, self-healing, intelligent test data generation, and failure analysis. Collaborate effectively and apply modern quality engineering practices, with exposure to agentic AI preferred.

Develop and deploy Python services, REST APIs, data pipelines, machine learning models, and production GenAI/LLM features. Responsibilities include using Flask, Pandas, NumPy, SQL, and PyTorch; integrating and evaluating GPT, Llama2, and Gemini solutions; optimizing databases; writing tests and logging; and collaborating with product and data teams to deliver scalable AI applications.

Design, develop, maintain, and support modern full-stack web applications using C#, .NET, ASP.NET MVC, Web API, React, Azure SQL, and Microsoft Azure. Build RESTful services, optimize databases and application performance, configure Azure deployments, and manage CI/CD pipelines. Use AI-powered developer tools, participate in code reviews and design discussions, troubleshoot production issues, and collaborate with product, design, and engineering stakeholders.

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, 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.

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.

Design, develop, test, and maintain scalable backend applications, microservices, REST and gRPC APIs using Golang and Java. Build Spring Boot services, secure authentication with JWT, Redis caching, SQL Server integrations, and Solace messaging. Create CI/CD pipelines, containerize applications with Docker, and deploy them in Kubernetes. Collaborate across teams, interpret requirements, troubleshoot issues, participate in code reviews, and optimize performance.

Designs, develops, and maintains automated test scripts and frameworks for web applications using Selenium, Playwright, Java, and Python. Executes automated and manual functional, regression, integration, and API testing; tracks defects; integrates tests with CI/CD pipelines; improves test coverage; and collaborates with developers, analysts, and QA teams in Agile/Scrum environments.

Supports product strategy, roadmap planning, feature prioritization, customer research, user-story definition, backlog management, and AI product delivery. Partners with engineering, marketing, and business stakeholders throughout the development lifecycle. Conducts market and competitive research, monitors AI trends, identifies product opportunities, and helps create documentation and go-to-market materials. The role targets recent MBA graduates interested in enterprise technology and AI-powered solutions.

Leads the development and maintenance of scalable test automation frameworks using Playwright and Selenium. Develops Java and Python automation scripts, integrates test suites with Azure DevOps and Jenkins pipelines, and implements AI-assisted capabilities such as script generation, self-healing, intelligent test data, and failure analysis. Mentors automation engineers, conducts code reviews, collaborates in Agile teams, and promotes quality engineering best practices.

Leads end-to-end B2B digital marketing strategy and execution across SEO, AI search, paid media, content, email, and marketing automation. Owns campaign roadmaps, lead generation, funnel performance, analytics, attribution, optimization, and reporting. Partners with sales, product, business, and delivery teams to drive qualified leads, pipeline contribution, brand visibility, and revenue growth while managing stakeholders and improving scalable marketing processes.

Leads the design, development, deployment, and architecture of enterprise .NET applications. Provides technical leadership, mentorship, code reviews, and standards governance while collaborating with stakeholders, product managers, architects, and QA. Develops RESTful APIs, microservices, and cloud solutions; resolves complex production issues; optimizes performance; supports Agile/Scrum delivery; and drives documentation and continuous improvement.

Develop and optimize AI and generative AI applications using Python, large language models, machine learning, NLP, TensorFlow, and PyTorch. Build APIs, backend services, semantic search systems, and vector database integrations. Fine-tune models, monitor production performance, and collaborate with data scientists, engineers, and product teams to deliver scalable AI features. Document models and workflows while applying prompt engineering, embeddings, and MLOps practices.