Top Software Engineer Jobs in Dallas, TX

Build and deliver client-facing software solutions for institutional investment clients. Responsibilities include developing third-party data integrations and parsers, configuring reports, workflows, and FIX Gateway connectivity, resolving data quality issues, contributing platform enhancements, and supporting client services. The role requires translating ambiguous business requirements into production-ready implementations, collaborating with stakeholders, documenting solutions, and owning technical delivery for client onboardings.

Develop and scale enterprise AI coding-assistant platforms, including GitHub Copilot and Claude Code. Build custom skills, agents, infrastructure, automation pipelines, self-service portals, dashboards, and metrics. Design AWS infrastructure with Terraform, write and review production code, improve operational stability, enforce security controls, and support development teams adopting AI tools. Collaborate across software engineering communities to implement scalable, reliable, and compliant solutions.

Develop and maintain reliable Android and cross-platform software while diagnosing complex production issues through logs, telemetry, and root-cause analysis. Build AI-enabled log analysis, incident triage, RAG workflows, and automation to reduce debugging effort and MTTR. Implement and validate fixes through CI/CD pipelines, identify recurring defects, and improve system reliability in collaboration with engineering and operations teams.

Lead an agile software engineering team developing secure, scalable, high-quality technology products. Responsibilities include writing and reviewing Java and Spring code, guiding technical teams, shaping product and application design, supporting production systems, influencing engineering practices, and serving as a subject matter expert. The role requires experience with system design, testing, production support, XZBoost, model hosting, and low-latency, high-throughput systems, with preferred exposure to Big Data and agentic AI.

Lead resilience engineering across enterprise platforms: define architecture and standards for observability, disaster recovery, and chaos engineering; drive incident response and root-cause remediation; mentor engineers; evangelize technical vision and reusable solutions to improve reliability and operational maturity.

Lead the design, delivery, and re-architecture of an enterprise CI/CD platform used by thousands of developers. Build scalable platform capabilities, define system abstractions, embed compliance controls, lead technology projects, establish engineering standards, mentor engineers, and work across cloud, containerization, distributed systems, workflow engines, and multiple programming languages.

Design, develop, and maintain secure, production-quality software and AWS Data Lake solutions. Build infrastructure as code (Terraform), write Python/Java code, apply CI/CD and secure SDLC practices, analyze large data sets, and use enterprise AI-assisted coding tools while ensuring code quality, resiliency, and security.

Develop and operate production microservices that operationalize predictive and generative AI models for claims systems. Responsibilities include building AWS-based feature pipelines, APIs, event-driven integrations, monitoring, alerting, CI/CD, and model evaluation frameworks. The engineer partners with data scientists, product teams, and enterprise platform teams, supports live services through on-call responsibilities, translates requirements into technical designs, and leads implementation and continuous improvement.

Leads full-stack software engineering across design, development, testing, troubleshooting, and operational stability. Builds secure production code using Java or Python and React, reviews peer code, and promotes AI-assisted engineering practices with secure validation standards. Drives automation, continuous delivery, application resiliency, cloud-native development, vendor evaluations, architectural improvements, and technical communities of practice within financial technology.

Build and maintain full-stack customer-facing web applications using React, TypeScript, Java, APIs, and micro-frontend architecture. Develop automated tests, debug front-end and backend issues, participate in code reviews, and collaborate with Product and QA. The role also requires using and improving AI-assisted development workflows, including code generation, refactoring, testing, and pull request creation.

Develop and maintain full-stack web applications, tools, and infrastructure. Translate product requirements into testable tasks, participate in code reviews, use AI-assisted development, improve shared engineering processes, advocate for code and test quality, and investigate production issues. The role requires functional or modern statically typed language experience, PostgreSQL optimization, and occasional DevOps and monitoring work.

Build and ship full-stack product experiences for Nextdoor’s Rewards & Incentives pod. Develop frontend features with React and backend systems with Python/Django, contributing to data modeling, architecture, implementation, testing, and iteration. Collaborate with product, design, frontend, backend, data science, infrastructure, and machine learning teams. Participate in agile practices, AI-assisted workflows, and an on-call shadow rotation after onboarding.

Lead mobile automation testing for browser and native apps using mobile cloud platforms and emulators. Develop and execute test scenarios across phases, implement CI/CD with Jenkins, perform API testing with JMeter, ensure accessibility compliance, and manage test automation teams in client-server environments.

Lead design and execution of mobile web and native app test automation across testing phases. Use mobile cloud platforms and emulators, implement CI/CD with Jenkins, perform API testing with JMeter, ensure accessibility compliance, and manage test teams and test scenarios throughout the application lifecycle.

Leads architecture and hands-on delivery of complex backend, UI, API, and production AI applications. Owns ADK and LangGraph agentic workflows, establishes engineering standards, drives resiliency and operational readiness, and mentors engineers. Partners across Product, Design, Security, and SRE to deliver secure, scalable systems using Python, React, AWS, FastAPI, databases, CI/CD, and modern software engineering practices.

Implement and enhance SAP IBP Supply & Response and Inventory Optimization solutions. Own technical architecture, integrations, configurations, software delivery, documentation, and continuous improvement. Translate business requirements into scalable solutions, collaborate with cross-functional teams, and work within Agile frameworks. The role requires deep SAP IBP expertise, SAP ERP integration experience, and strong technical, analytical, communication, and leadership skills.

Build Python applications, RESTful APIs, and microservices integrating AI and LLM capabilities. Develop CI/CD pipelines and deploy containerized systems with Docker and Kubernetes across AWS, Azure, or GCP. Ensure reliability through Pytest, code reviews, post-mortems, and on-call rotations. Collaborate with design, product, and cross-functional teams to deliver scalable AI-driven solutions.

Leads software engineering projects and developers building distributed microservices and full-stack cloud solutions. Collaborates with product managers, mentors engineers, evaluates emerging technologies, and delivers robust systems supporting regulatory needs and customer experiences. The role uses Python, JavaScript, Java, TypeScript, SQL, Go, AWS, databases, Docker, and Kubernetes.

Lead a team of software engineers and a portfolio of technology projects, building cloud-based full-stack and distributed microservices solutions. Develop and mentor engineers, collaborate with product managers, address regulatory needs, and use Python, JavaScript, Java, TypeScript, SQL, Go, AWS, Docker, Kubernetes, and database technologies. The role also emphasizes network automation, cloud engineering, Agile practices, and adoption of emerging technologies.

Design, develop, test, document, and maintain scalable big data and cloud solutions. Build analytics rules engines, APIs, AI/ML prototypes, and enterprise integrations using Scala, Python, Azure, Spark, and related technologies. Evaluate tools and frameworks, define technical architecture, analyze requirements, estimate development work, conduct code reviews, collaborate across teams, provide production support, and improve existing applications.

Develop and maintain scalable big data and cloud solutions using Scala, Python, Spark, Azure, and AI/ML technologies. Design analytics rules engines, APIs, distributed systems, and machine learning prototypes; evaluate tools and frameworks; analyze requirements; contribute to architecture and estimates; perform code reviews, documentation, testing, and production support; and collaborate across engineering, QA, architecture, and management teams.

Leads design and delivery of secure Java and Spring Boot microservices on AWS. Responsibilities include architecture, API and data modeling, production performance and resilience, observability, testing, CI/CD, incident management, code reviews, mentoring, and technical standards. The role also leads responsible adoption of AI-assisted engineering tools, evaluates vendors and architectures, and promotes secure, compliant development practices.

Leads development of secure, scalable backend services and APIs using Java, Spring Boot, microservices, AWS, and cloud-native technologies. Designs infrastructure with Terraform, manages containerized applications, builds event-streaming solutions, and works with relational and NoSQL databases. Drives code quality, automation, observability, SRE practices, remediation of recurring issues, and responsible use of AI-assisted engineering tools. Evaluates vendor and internal architectural solutions while reviewing and troubleshooting production code.

Leads software engineering initiatives focused on application reliability, stability, support, and operational improvement. Designs and develops scalable systems, troubleshoots complex technical issues, analyzes data, and builds monitoring and reporting solutions. Applies AI-assisted development and agentic AI to automate incident detection, remediation, root-cause analysis, alerting, runbooks, and observability. Works with Java or Python, Kubernetes, AWS, monitoring platforms, Splunk, ticketing systems, CI/CD, and agile practices while mentoring engineers and promoting secure, responsible AI adoption.

Leads the design, development, testing, troubleshooting, and delivery of scalable Java software systems for Identity and Access Management. Produces architecture artifacts, applies secure coding and non-functional requirements, mentors engineers, and drives Agile delivery. Leads adoption of enterprise-approved AI-assisted development tools, establishing standards for validation, security, and responsible use. Collaborates with stakeholders, evaluates system dependencies, and implements continuous improvements across software delivery and automation practices.