VibeCodeCareers 
This is a fully remote, senior-level position with The Hartford, based in Hyderabad, India. The role involves working on the Customer Data Engineering team to build and operate large-scale, fault-tolerant systems in the AWS Cloud, particularly focusing on real-time data ingestion using Apache Flink.
Skills / Requirements
- AI Engineering
- Apache Flink
- AWS
- CI/CD
- Docker
- Infrastructure as Code
- Java
- Microservices
- Observability
- Spring Framework
- System Design
- Terraform
- Vibe Coding
Why Apply
This role is ideal for someone experienced in vibe coding and AI engineering practices. You'll leverage AI tools throughout the software development lifecycle, enhancing the efficiency of building distributed streaming applications with Apache Flink and Java.
What You'll Be Doing
You'll design and implement streaming and batch applications using Java and Apache Flink, troubleshoot issues, and maintain CI/CD pipelines. You'll also implement Infrastructure as Code with Terraform or AWS CloudFormation, and define strategies for application performance monitoring and resiliency.
Working in Hyderabad, India
- Hyderabad is a major tech hub in India, attracting top talent and offering numerous opportunities in software development.
- The city is known for its affordable cost of living compared to other Indian metros, making it attractive for professionals.
- Hyderabad has a well-developed public transport system, including buses and a metro, easing daily commutes.
- The city is home to a vibrant cultural scene and diverse cuisine, providing a rich lifestyle outside of work.
Pay and Career Growth
The Hartford offers a role where you can apply your expertise in large-scale system design and data engineering. With a focus on innovation and reliability, you'll be part of a team that values resilience and customer-centric solutions, providing a solid foundation for career growth.
Benefits and Perks
- Career Development
- competitive salary
- Innovation focus
- Remote Work
Is This Role Right for You?
Good fit if you...
- Experienced in building microservices with Java and Apache Flink.
- Comfortable with AWS services and Infrastructure as Code using Terraform or AWS CloudFormation.
- Familiar with AI engineering practices like vibe coding and spec-driven development.
May not be for you if...
- Lacks experience with Java and Apache Flink in large-scale projects.
- Unfamiliar with AWS services and Infrastructure as Code tools.
- Prefers traditional software development methods over AI-enhanced practices.
Original 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
