Senior Software Development Engineer Jobs in Plano, TX

Overview

Location & Work Schedule: These roles offer a hybrid work schedule (2 days onsite) and we are considering candidates based in

the following locations:

Portsmouth, NH, Boston, MA, Plano, TX, Indianapolis, IN and Columbus, OH with a preference towards Portsmouth and Indianapolis.

We are seeking a Senior Software Engineer with strong full stack development experience and deep familiarity with AWS services and cloud-native engineering practices. This role will design, build, test, deploy, and support modern digital and service-based solutions that improve claims experiences for customers, adjusters, and internal partners.

You’ll contribute across the full software development lifecycle, from user-facing applications to backend services, APIs, cloud infrastructure, and production support. This is a great opportunity for an engineer who thrives in a fast-moving environment, enjoys solving complex business and technical challenges, and wants to help modernize claims technology through full stack development and cloud-native engineering.

Candidate Profile

You are a strong, hands-on engineer who combines technical depth with curiosity, ownership, and a bias for action. You enjoy building robust, scalable applications and services, and you are comfortable working across frontend, backend, cloud infrastructure, and integrations.

You bring:

• Strong full stack engineering skills across modern frontend frameworks and backend services
• Experience designing and building cloud-native applications in AWS
• A problem-solving mindset and the ability to navigate ambiguity
• A focus on reliability, security, performance, and maintainability
• Strong collaboration and communication skills in Agile, cross-functional teams
• A passion for continuous improvement, mentoring others, and delivering business value

What You’ll Do

As a Senior Software Engineer, you will own medium-to-large features and services end-to-end, helping modernize and evolve our claims technology ecosystem.

Core Responsibilities

• Design, develop, test, deploy, and support full stack software solutions in an Agile product team
• Build modern web applications and backend services that support claims experiences and operational workflows
• Develop scalable APIs, microservices, and event-driven integrations using Java / Spring Boot and cloud-native patterns
• Build and maintain responsive frontend applications using JavaScript/TypeScript and modern frameworks such as React, Angular, or Vue
• Design and implement AWS-based solutions using services such as:
• • Lambda
  • API Gateway
  • S3
  • RDS / DynamoDB
  • SQS / SNS
  • Step Functions
  • CloudWatch
  • IAM
  • ECS / EKS or other container-based runtime platforms
• Create and maintain secure APIs and integrations aligned with enterprise standards
• Implement secure authentication and authorization patterns leveraging enterprise identity solutions
• Design, optimize, and troubleshoot data models and application data flows across relational and cloud-native data stores
• Lead troubleshooting and root cause analysis for production issues; improve system reliability, resilience, and performance
• Build and enhance CI/CD pipelines using GitHub Actions and related automation, testing, and quality tooling
• Improve observability using tools such as Datadog and Splunk, including dashboards, alerting, metrics, logs, and tracing
• Participate in discovery, estimation, technical design, story writing, and documentation
• Contribute to engineering best practices across code quality, testing, automation, and operational readiness
• Mentor engineers and help elevate team standards and execution

What we’re looking for

• Owns medium-to-large features end-to-end, including design, implementation, testing strategy, and production readiness.
• Leads troubleshooting and performance tuning (application and database).
• Drives API/integration work (Apigee patterns, identity/security considerations).
• Improves engineering practices (CI/CD, test automation, code quality) and mentors others.
• Ensures established standards for observability, deployment, resiliency, and developer productivity across teams.
• Partners with product, architecture, and security stakeholders; makes and communicates trade-offs clearly.
• Mentors team members and ensures High-Performing Engineering standards are chosen and monitored with the team
• Strong software engineering fundamentals: clean code, testing, debugging, and design.
• Experience integrating systems via APIs and working with enterprise standards (security, logging, monitoring).
• Ability to work in Agile teams using modern delivery practices (iteration, experimentation, continuous improvement).
• Effective communication and collaboration; able to document and explain technical decisions.
• Experience and openness to utilizing AI Software Development Tools (GitHub Actions Copilot etc.)

Why this role matters

You’ll help deliver resilient, secure, and scalable claims technology that improves experiences for both customers and employees. Your work will directly support the systems and digital capabilities that help people when they need us most.

This is an opportunity to contribute to meaningful business outcomes while working in a modern engineering environment focused on cloud adoption, full stack development, operational excellence, and continuous improvement.

• Bachelor’s or Master’s degree in a technical or business discipline, or equivalent experience
• 5+ years of software engineering experience
• Strong experience designing, developing, and supporting production applications
• Demonstrated ability to work across frontend, backend, API, cloud, and operational concerns
• Experience working in enterprise environments with security, monitoring, and reliability standards
• Experience with CI/CD pipelines, automated testing, and modern DevOps practices
• Experience troubleshooting application and database performance issues
• Experience or openness to using AI-assisted software development tools

Core Technologies

• Cloud: AWS-based solutions using services such as
  • Lambda
  • API Gateway
  • S3
  • RDS / DynamoDB
  • SQS / SNS
  • Step Functions
  • CloudWatch
  • IAM
  • ECS / EKS or other container-based runtime platforms
• Backend: Java, Spring Boot
• Frontend: JavaScript, TypeScript, React / Angular / Vue
• API & Integration: REST APIs, event-driven architecture, enterprise integration patterns
• Containers/Runtime: Kubernetes, ECS, EKS, cloud-native deployment platforms
• CI/CD: GitHub Actions, automated testing, deployment pipelines
• Observability: Datadog, Splunk
• Data: SQL Server, relational databases, cloud-native data services
• Security & Identity: Enterprise authentication/authorization solutions, secure API practices
• AI Developer Tooling: GitHub Copilot, Microsoft Copilot, LibertyGPT or similar developer productivity tools