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Key skills for this role
• Modernize enterprise applications using Java, J2EE, Spring Boot, REST/SOAP services, JMS, XML, JSON, JDBC, Flink, and Apache Camel.
• Partner with business, architecture, and engineering teams to translate outcomes into secure, scalable, production-ready solutions.
• Lead AWS infrastructure standards, reusable cloud patterns, and deployment practices that improve delivery speed and reliability.
• Build GenAI and agentic AI solutions, including development agents, test agents, and workflow automation.
• Develop Infrastructure as Code and automation using CloudFormation, Terraform/CDK, YAML build specs, and Python Lambda.
• Integrate DevOps practices, automated testing, deployment pipelines, monitoring, and operational readiness into delivery work.
• Collaborate with architecture and security teams to ensure solutions meet enterprise standards for compliance, resilience, maintainability, and scalability.
• Mentor engineers, share technical learnings, contribute to reusable patterns, and help improve overall engineering practices across teams.
Application deployment, CI/CD, observability, production readiness, and reusable cloud patterns.
CloudFormation, Terraform/CDK, YAML build specs, Python Lambda, and repeatable provisioning.
Agentic AI, development agents, test agents, and workflow automation using Vertex AI, Google ADK, and GCP services.
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, IND
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, USA
, USA
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, USA
Hyderabad, IND
Hyderabad, IND
Enterprise Java/J2EE modernization using Spring Boot, services, messaging, XML/JSON, JDBC, and Apache Camel, flink .
Modernize enterprise applications using Java, J2EE, Spring Boot, REST/SOAP services, JMS, XML, JSON, JDBC, Flink, and Apache Camel.
Partner with business, architecture, and engineering teams to translate outcomes into secure, scalable, production-ready solutions.
Lead AWS infrastructure standards, reusable cloud patterns, and deployment practices that improve delivery speed and reliability.
Build GenAI and agentic AI solutions, including development agents, test agents, and workflow automation.
Develop Infrastructure as Code and automation using CloudFormation, Terraform/CDK, YAML build specs, and Python Lambda.
Integrate DevOps practices, automated testing, deployment pipelines, monitoring, and operational readiness into delivery work.
Collaborate with architecture and security teams to ensure solutions meet enterprise standards for compliance, resilience, maintainability, and scalability.
Mentor engineers, share technical learnings, contribute to reusable patterns, and help improve overall engineering practices across teams.
Experience with Vertex AI, Google ADK, GCP services, agentic AI frameworks, or AI-assisted engineering tools.
Experience with CI/CD, automated testing, observability, reliability engineering, and modern DevOps operating models.
This role will have a Hybrid work schedule, with the expectation of working in an office 3 days a week
Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
Provider of property and casualty insurance and employee benefits.
Visit company websiteJobs and hiring trendsUSD 116000-174000 yearly / year
Full-time
Senior · 5+ years experience
Hybrid
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