IND Senior Staff Associate/Engineer Java Kafka/Flink

The Hartford

India

On-site

INR 4,000,000 - 7,000,000

Full time

3 days ago
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Job summary

The Hartford in India is seeking a Senior Staff Engineer for Engineering to help design, build, and operate large-scale distributed streaming systems in AWS. You will develop streaming/batch apps in Java with Flink and Iceberg, implement CI/CD pipelines, and drive reliability and observability across critical Employee Benefits data services.

You will collaborate with cross-functional teams to address scale challenges, apply AI techniques in the SDLC, and contribute to capacity planning and

Qualifications

  • Minimum of 10+ years in software development.
  • Hands-on experience building microservices with Java 21, Apache Flink, and Apache Iceberg.
  • Proficient with Spring Framework (Spring Boot 3, Spring Data/JDBC, Spring Batch, Spring Cloud).
  • Experience with Docker and AWS services (Security/IAM, Kinesis, Lambda, RDS).
  • Infrastructure as Code experience with Terraform and/or AWS CloudFormation.
  • Familiarity with observability tools (Splunk, Dynatrace).
  • Awareness of modern AI engineering practices 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 fixes, and execute tests.
  • Build and maintain CI/CD pipelines using AWS CodePipeline and related services.
  • Implement IaC using Terraform and/or AWS CloudFormation.
  • Define monitoring strategies, SLOs/SLIs, and build observability dashboards.
  • Conduct fault-injection experiments to uncover defects in apps and infra.
  • Contribute to system design, capacity planning, and use-case reviews.
  • Apply AI tools and techniques throughout the SDLC.

Skills

10+ yrs exp
Java 21
Apache Flink
Apache Iceberg
Spring Framework
AWS services

Tools

Terraform
AWS CloudFormation
Kinesis
Splunk
Dynatrace

Job description

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.

About Us | Our Culture | What It’s Like to Work Here Every day, a day to do right. Showing up for people isn’t just what we do. It’s who we are – and have been for more than 200 years. We’re devoted to finding innovative ways to serve our customers, communities and employees—continually asking ourselves what more we can do. Is our policy language as simple and inclusive as it can be? Can we better help businesses navigate our ever-changing world? What else can we do to destigmatize mental health in the workplace? Can we make our communities more equitable? That we can rise to the challenge of these questions is due in no small part to our company values that our employees have shaped and defined. And while how we contribute looks different for each of us, it’s these values that drive all of us to do more and to do better every day.

Perks & Benefits
  • Legal Notice
  • Accessibility Statement
  • Producer Compensation
  • EEO
  • Privacy Policy California
  • Privacy Policy International
  • Privacy Policy Canadian
  • Unincorporated Areas of LA County, CA (Applicant Information)
  • MA Applicant Notice
  • Hartford India Prospective Personnel Privacy Notice
  • Electronic Monitoring Policy
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