Top Software Engineer Jobs

The Distinguished Engineer will drive innovation in banking technology, lead software engineering projects, mentor teams, and utilize AI and advanced architectures for risk management.

Leads software engineering and development teams, defining architecture standards, overseeing design through deployment, and driving AI/ML, cloud, and digital transformation initiatives. Conducts architecture and code reviews, mentors engineers, supports hiring, develops technology roadmaps, and collaborates with customers and stakeholders to deliver mission-focused software capabilities. Requires extensive software engineering experience, cloud and distributed-systems expertise, Python proficiency, DevSecOps knowledge, and the ability to obtain a Secret clearance.

Lead enterprise payments architecture for card-present solutions, provide technical governance and guidance, integrate AI-enabled capabilities securely, develop and review production code, evaluate emerging technologies, and drive architecture decisions across product families.

Design, develop, test, and maintain secure, high-quality production software. Create architecture and design artifacts, analyze large datasets to improve systems, troubleshoot complex problems, and contribute to engineering communities and inclusive team culture.

Lead architecture strategy and roadmaps for cloud-based, AI-enabled payment systems. Advise on technology selection, build reusable secure engineering patterns, develop and review production code, govern APIs and integration patterns, and drive digital transformation for onboarding and self-service experiences.

Provides expert technical support for Zebra Android mobile computing products, debugging AOSP Framework, BSP, Telephony, RIL, and cellular modem issues. Analyzes logs and network traffic, resolves interoperability and performance problems with carriers and chipset vendors, and collaborates with customers and internal teams. Develops AI-driven diagnostic and workflow automation tools, documents solutions, mentors support engineers, and contributes to product improvements.

Leads multiple enterprise application development projects across diverse platforms throughout the systems development lifecycle. Oversees application delivery, production stability, quality, resource allocation, budgets, and stakeholder communications. Partners with business teams to design and implement technology solutions, promotes innovation and change management, and applies modern SDLC, DevOps, data engineering, analytics, AI/ML, and AI-enabled development practices.

Early-career software engineer in CAS’s Technology Talent Acceleration Program. The role includes rotational assignments across software engineering, data engineering, cybersecurity, cloud infrastructure, and enterprise technology. Responsibilities include designing, developing, testing, and supporting technology solutions; learning modern tools and methodologies; improving processes; collaborating with business and technology teams; presenting outcomes; and participating in leadership development. Candidates must have a relevant STEM bachelor’s degree, 24 months or less of professional technology experience, a minimum 3.0 GPA, internship or co-op experience, and strong analytical, communication, collaboration, and leadership skills.

Lead the migration and modernization of web-based solutions into the WANDS cloud environment. Responsibilities include lift-and-shift deployments, multi-regional resiliency, serverless modernization, AI/ML service integration, software development and deployment, team leadership, cross-platform collaboration, requirements refinement, effort estimation, and cost estimation.

Software Engineering Interns support product integration and commercial operations by analyzing workflows, documenting complex processes, and developing scalable software, automation, and AI-enabled solutions. They collaborate with engineering, installation, field service, project management, and product development teams to improve efficiency, data visibility, and customer outcomes. The role is onsite and includes cross-functional communication, process improvement, data analysis, and problem-solving.

Software engineering interns develop automation and software solutions that improve commercial operations, workflow efficiency, data visibility, and customer outcomes. They analyze manual processes, document complex workflows, collaborate with engineering, installation, field service, project management, and product development teams, and present solutions clearly. The role combines software development, systems thinking, process improvement, data analysis, and emerging AI technologies in an onsite medical technology environment.

Design and build scalable, reliable, observable, and well-tested backend or distributed systems. Use AI-assisted development tools to code, test, document, and design while validating generated outputs. Contribute to architecture and technical direction, apply systems thinking across data models, APIs, and service boundaries, and mentor peers. The role requires collaboration across Product, UX, and Engineering in a hybrid Austin environment.

Build and polish a mobile-first physician app, extend Python APIs and PostgreSQL data models, and ship tested production features. The role involves frontend ownership with React and TypeScript, backend development with Python and FastAPI, product-focused architecture decisions, UX refinement, and autonomous feature delivery. Candidates should have production experience, frontend craftsmanship, backend comfort, design sensibility, and an AI-native approach. DevOps, event-driven systems, experimentation, analytics, startup, and healthcare experience are advantageous.

Develop on-device firmware and system software for connected HP devices using C, C++, or Python. Build wireless connectivity, discovery, and pairing protocols; optimize machine learning inference on resource-constrained devices; develop sensing algorithms; debug system and application issues; and collaborate with hardware and software teams on design, testing, validation, code reviews, and documentation.

Leads growth engineering for Hiya’s web presence, translating marketing strategy into high-converting experiences. Responsibilities include migrating Webflow to a headless CMS, architecting React and Next.js systems, optimizing performance and SEO, implementing analytics and experimentation, integrating AI and third-party APIs, and scaling localized websites across global markets. The role owns website KPIs, attribution, conversion optimization, accessibility, and collaboration across marketing, product, CRM, and PLG initiatives.

Leads development of secure, scalable data and AI platform solutions, including batch and real-time pipelines, ETL/ELT workflows, data modeling, governance, cataloging, lineage, quality frameworks, and semantic layers. Builds Agentic Autonomous Lakehouse capabilities for governed self-service provisioning and operational optimization. Partners with technical and business stakeholders, reviews production code, improves system stability, evaluates architectures and vendors, and promotes emerging technologies across engineering communities.

Develops and maintains business web applications within an Agile team for a government customer. Responsibilities include translating requirements into software, writing and testing code, developing web API integrations, conducting impact analysis, supporting production troubleshooting, managing configuration changes, and proposing system improvements. The role requires collaboration with analysts, UI/UX developers, testers, project leads, and customers, along with maintaining technical documentation and application knowledge.

Leads and mentors a backend engineering team building cloud-native provisioning and orchestration services for CrowdStrike’s AI Detection and Response platform. Owns technical vision, architecture, roadmap, reliability, incident response, engineering practices, hiring, and team development. This player-coach role includes approximately 20–30% hands-on coding, collaboration with product and engineering stakeholders, and delivery of scalable distributed systems supporting large-scale security event processing.

Design, develop, test, debug, document, and enhance complex software systems for DoD and Naval programs. Define requirements, architecture, and software designs; conduct benchmarking and performance analysis; support unit, system, and system-of-systems testing; prepare technical documentation and reports; identify constraints and corrective actions; and provide technical recommendations. The role may involve cybersecurity, real-time programming, UML/SysML modeling, machine learning, or other data-driven technologies.

Reviews and evaluates engineering, infrastructure, and platform documents and work products for technical accuracy, completeness, clarity, consistency, and relevance. Provides structured feedback, identifies errors and gaps, compares technical approaches, and follows defined evaluation frameworks. Requires independent work, strong communication, analytical ability, and professional engineering judgment. The role is fully remote and supports varied technical evaluation projects as an independent contractor.

Co-found and lead the technical direction of a new B2B AI venture. Own problem framing, architecture, system design, AI product development, customer discovery, product validation, fundraising support, and eventual technical team building. The role requires shipping reliable AI products to real users, designing maintainable LLM and agentic systems, translating ambiguous requirements into executable specifications, and committing full-time and exclusively as a founder.

Software interns join GE HealthCare engineering teams for a 10-week summer project. Responsibilities include designing, testing, and debugging product software; developing internal tools; performing data analytics and visualization; and creating technical documentation. Candidates must study computer science, computer engineering, biomedical engineering focused on software, or a related field, and demonstrate technical competency, communication, initiative, teamwork, and leadership. Relocation to Milwaukee/Waukesha or another applicable site is required.

Lead development and maintenance of software powering autonomous robotic strawberry harvesting. Build across SCADA communications, perception, motion planning, and robotic controls; translate requirements into production-ready software; validate through simulation and field testing; troubleshoot deployments; and collaborate with robotics, hardware, controls, and operations teams to improve system reliability.

Works with IT professionals in an agile environment on software design, development, testing, prototyping, debugging, technology investigations, and project management. Potential focus areas include software development, AI/ML, cybersecurity, networking, infrastructure, cloud engineering, data engineering, and analytics. Interns receive mentorship and collaborate on digital transformation initiatives.

Design, develop, and operate a production agentic data platform using Spark, Kafka, Airflow, Snowflake and AWS. Write secure high-quality code across frontend and backend, leverage enterprise AI-assisted development and LLMs (Claude Code, agents, RAG, embeddings), build autonomous agents and MCP server components, apply secure/responsible AI practices, troubleshoot systems, and own full-stack application/platform delivery with CI/CD, containers, and observability.