Sr Staff Associate/Engineer Java Kafka/Flink

IND Senior Staff Engineer, Engineering - GCC117

We re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.

This role sits within the Customer Data Engineering team, which blends software and systems engineering to build and operate large-scale, fault-tolerant systems in the AWS Cloud. The Software Engineer helps ensure that The Hartford s Employee Benefits Data Integration Services-both internally critical and externally visible systems-are resilient and have reliability, availability, and innovation aligned to customer needs.

Much of the work will focus on designing, implementing, and deploying a distributed streaming application that ingests real-time data into the AWS Cloud using Apache Flink. In this role, you will help address complex scale challenges unique to the Employee Benefits domain, using your expertise in data structures, algorithms, and large-scale system design.

Responsibilities

• Design and implement streaming and batch applications using Java and Apache Flink.
• Collaborate with team members to troubleshoot issues, implement code fixes, and execute unit and integration tests.
• Build and maintain CI/CD pipelines using AWS CodePipeline (and related services).
• Implement Infrastructure as Code (IaC) using Terraform and/or AWS CloudFormation.
• Define strategies for application performance monitoring, resiliency, and chaos engineering.
• Define service-level objectives (SLOs) and build observability dashboards to monitor service-level indicators (SLIs) and trigger alerts.
• Perform fault-injection experiments to uncover hidden defects and identify blind spots in application and infrastructure monitoring.
• Contribute to system design, capacity planning, and use-case reviews.
• Apply AI tools and techniques throughout the software development lifecycle (SDLC).

Skills

• 10+ years of hands-on experience in application software development.
• Hands-on experience building microservices with Java 21, Apache Flink, Apache Iceberg, and the Spring Framework (Spring Boot 3, Spring Data/Spring JDBC, Spring Batch, Spring Cloud).
• Hands-on experience with Docker and AWS services, including Security/IAM, Kinesis, Lambda, RDS, and resiliency patterns.
• Hands-on experience building CI/CD pipelines using AWS tools - CodePipeline, CodeBuild, CodeDeploy.
• Hands-on experience with Infrastructure as Code (IaC) using Terraform and/or AWS CloudFormation.
• Hands-on experience with Observability tools such as Splunk and Dynatrace.
• Familiarity with modern AI Engineering practices such as vibe coding, spec-driven development, and AI agents (MCP servers and agent skills).
• Must have worked on large scale complex projects

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