Top Tech Jobs & Startup Jobs in Delhi

Administer, monitor, and support Java applications and Genesys Cloud. Provide production troubleshooting, minor bug fixes and enhancements, and act as primary POC for Java apps. Develop/support microservices using Java and Spring Boot, perform analysis of system behavior, and apply problem-solving and diagnostics to maintain service quality.

Design, develop, enhance, and maintain full-stack web applications using Java/Spring Boot and Angular. Collaborate with cross-functional teams, document requirements, apply test-driven development, and resolve technical issues for applications backed by SQL and NoSQL databases.

Support revenue and pricing strategy through modeling, analytics, and econometrics. Assist in setting deal and product pricing, create standard offers, and capture value. Perform routine analytical tasks and process improvements under supervision, working on limited-scope projects and following established procedures.

Serve as liaison between business and IT to implement and support EDI trading partner setups. Manage ServiceNow tickets, gather and document requirements, work with external partners on EDI implementations, recommend solutions, maintain SLAs and dashboards, and ensure communication and quality across technical and business teams.

Develop, enhance, and sustain enterprise applications as part of Application Development & Maintenance. Work on moderate-scope projects, troubleshoot technical issues, apply engineering practices, and collaborate with cross-functional teams under general guidance.

Lead post-deployment operations and optimization of Agentic AI, LLM integrations, and Python-based analytical pipelines. Supervise a data science operations team, ensure secure high-availability production systems, manage integrations with enterprise systems (SAP, Salesforce, Postgres), and drive continuous improvement, monitoring, and adoption of analytics solutions.

Prioritize and quantify enterprise cyber risk by correlating threat intelligence, vulnerabilities, attack paths, and business impact. Model exploitable attack scenarios across identity, cloud, network, and endpoints. Partner with red/blue teams to assess likelihood and impact, support risk scoring and reporting, track remediation and residual risk, and communicate risk posture to security leadership, GRC, and engineering to influence security investments.

Support, monitor, and improve production Agentic AI and ML models for finance. Build data pipelines, perform EDA, optimize prompts and agents, troubleshoot drift, integrate models via APIs, and produce KPI-driven insights to align models with financial business requirements.

Maintain, monitor, and improve production Agentic AI and ML models for finance. Perform EDA, build data pipelines in Python/SQL, design and optimize prompts and RAG/LLM pipelines, support model-serving APIs, troubleshoot model drift, and produce KPI-driven insights for operational adoption.

Lead QA for ServiceNow platform enhancements: design and execute functional, integration, regression and ATF automation tests; validate releases, track defects, support deployments, and promote QA best practices within Agile teams.