Software Engineer Jobs in Richardson, TX

Full‑stack software engineer responsible for designing, coding, unit/integration testing, and delivering scalable services for AI/search platforms. Work includes CI/CD, performance tuning, integrating components, contributing to test suites, performing spikes/proofs‑of‑concept, and collaborating in Agile teams to meet functional, non‑functional, and compliance requirements.

Ensure reliability, availability, performance, and scalability of the myPBM platform using SRE practices: define SLIs/SLOs, implement observability (AppDynamics, Splunk), lead incident response and RCAs, support CI/CD and deployment guardrails, manage Azure/AKS infrastructure, automate with IaC and scripting, enforce security/compliance, participate in on-call rotation, and collaborate with engineering, DevOps, infrastructure, and security teams.

Lead architecture and hands-on implementation of an offline-first edge computing platform in Go. Design distributed messaging and cloud-to-edge synchronization, optimize services for resource-constrained in-store hardware, maintain Kubernetes/Helm deployments, mentor engineers, and collaborate with Product and DevOps for phased rollouts and migrations.

Design, build, and scale AI-powered operational platforms integrating LLMs, monitoring, CI/CD, ticketing, and cloud services. Develop APIs, data pipelines, front-end apps (TypeScript/React/Next.js), backend systems, evaluation/observability tools, and reusable frameworks. Collaborate across SRE, Product, and Infrastructure to deliver production-grade, automated AI workflows and improve system reliability and performance.

The Staff Engineer leads technical projects, collaborates across teams, develops software strategy, ensures quality solutions, and mentors junior engineers in a fast-paced environment.

Lead test engineering for embedded hardware and software: design and run test plans, automate frameworks, track and resolve defects, perform root-cause analysis, mentor team members, and collaborate with cross-functional teams to improve product quality.

The role involves technical leadership in software development, focusing on building and optimizing web-based applications and tools, collaborating with cross-functional teams, and mentoring junior engineers.

Design, code, and test enterprise database software within an Agile Scrum team. Research new solutions, participate in design/code reviews, develop automated tests, and maintain high-quality z/OS system-level functionality for Datacom.

Lead Atlassian migrations and implementations for clients: assess current systems, plan and execute migrations, develop migration tooling and infrastructure, configure Atlassian and external authentication, troubleshoot, run trainings and provide post-implementation support, and travel to client sites as needed.

Design, build, and maintain scalable test automation frameworks and production-quality test code for web, API, mobile, and microservices. Implement contract, performance, and security testing, integrate tests into CI/CD pipelines, analyze incidents, drive test strategy, mentor junior engineers, and improve test coverage, reliability, and time-to-feedback.

Lead architecture and execution of large cross-team engineering initiatives, mentor senior engineers, drive reliability and performance improvements, own incident response and RFCs, and contribute hands-on code while setting engineering standards and roadmaps.

Analyze existing systems, design cloud-ready data processing workflows, develop specifications and migration tools, validate implementations via automated testing, and report progress. Collaborate with stakeholders and developers to optimize BI/reporting solutions and complete relevant technical training.

The Data Engineer will design and implement data models, build ETL pipelines, and ensure data quality for manufacturing data analytics.

Design and implement high-performance, 3GPP-compliant 5G Core control- and user-plane functions on ARM-based embedded Linux. Develop in C/Go/Rust, use DPDK for packet processing, optimize latency/throughput, debug protocol and performance issues, and collaborate cross-functionally to integrate carrier-grade systems.

The Senior Software Engineer will build and enhance systems, focusing on containerized applications and ensuring security, performance, and best practices in deployment.

Senior back-end engineer responsible for designing, developing, and delivering cloud-native Java/Spring microservices and APIs. Partner with cross-functional teams to shape product roadmap, implement CI/CD, write unit tests, monitor production health, triage issues, and champion security and engineering best practices in an Agile environment.

Lead and support Corporate Financial Applications (CorpFin) including Project Accounting, Revenue Management, and Fixed Assets. Troubleshoot, enhance, deploy custom code, support monthly revenue recognition and data replication processes, train users, and design future application enhancements using Oracle cloud tools and Autonomous Database.

Lead design and implementation of agentic AI/ML solutions and modern software (APIs, microservices, CI/CD, streaming) on cloud platforms. Bridge legacy IBMi AS400 systems with modern AI, train and fine-tune models, oversee lifecycle, mentor engineers, set technical direction, and improve automation and testing across claims adjudication systems.

Lead design and implementation of enterprise-scale agentic AI and cloud-native solutions (APIs, microservices, CI/CD, streaming). Architect RAG, vector DBs, MCP integrations and multi-agent orchestration, mentor engineers, drive technical standards, research emerging technologies, and partner across teams to deliver scalable, secure AI solutions for claims adjudication.

Design and develop scalable Python services, manage CI/CD pipelines, and ensure secure communication and data practices while collaborating with teams.

Develop innovative IT solutions, participate in agile development, conduct code and test plan reviews, ensuring high-quality software delivery.

Design, implement, and support scalable Java-based Workforce Management services. Own features end-to-end, drive architectural decisions, mentor engineers, and integrate AI-assisted development tools and workflows to improve engineering productivity and quality.

Lead multiple cross-functional pod teams (~20 engineers) to design and deliver full‑stack customer reporting solutions. Mentor engineers, drive architecture and design reviews, develop complex frontend and backend code, produce POCs, and champion agile, CI/CD, and TDD practices to ensure performant, user-friendly software.

Lead architecture and development of scalable Java-based WFM server-side solutions, champion AI-assisted development, drive engineering standards, mentor senior engineers, resolve production issues, and collaborate cross-functionally to deliver enterprise software.

Owner of quality for an LLM-based multi-agent claims adjudication pipeline. Build evaluation frameworks, automated LLM-grading workflows, function-call and reasoning-trace auditing using Vertex AI. Integrate CI/CD regression, Auto-SxS comparisons, and large-scale mocking to ensure compliance and accurate adjudications for DOL/DOI audits.