Top Software Engineer Jobs

Develop and maintain web applications, APIs, integrations, automation scripts, and AI-enabled features using JavaScript, Python, and PHP. Connect internal business systems with third-party platforms, support enterprise platform customizations, troubleshoot workflows, and collaborate with technical teams, business users, vendors, and development partners. Participate in testing, documentation, version control, and change management while gaining experience with applied AI integration.

Owns the architecture and technical direction of an AI-enabled enterprise platform built with secure, cloud-native microservices. Leads technical execution, architecture, coding, code reviews, mentoring, release management, production support, and integration design. Partners with product and engineering stakeholders to translate requirements into milestones and deliverables. Designs AI application patterns, APIs, data flows, identity integrations, CI/CD practices, and secure deployments to Azure Kubernetes Service in Azure Government.

Lead architecture, bring-up, validation, optimization, and deployment of networking infrastructure for large-scale AI training and inference. Define networking requirements, design Layer 3/4 and RDMA/AI fabric solutions, develop validation and observability tooling, perform packet-level debugging and root-cause analysis, and collaborate across silicon, firmware, software, and Azure teams to ensure performance, scalability, and reliability of hyperscale AI clusters.

Develop, deploy, and support enterprise UiPath RPA and intelligent automation solutions. Build attended and unattended bots, integrate APIs, SQL databases, enterprise applications, and cloud services, and incorporate Document Understanding, GenAI, LLMs, RAG, and agentic AI. Responsibilities include testing, troubleshooting, monitoring, production support, documentation, governance, security, compliance, and reusable component development.

Leads enterprise Microsoft Power Platform strategy, architecture, governance, Center of Excellence maturity, and delivery. Designs secure integrations, standards, environment strategies, and reusable frameworks across Power Apps, Power Automate, Power BI, Dataverse, Microsoft 365, Azure, and AI capabilities. Oversees initiatives from intake through adoption, mentors technical teams and citizen developers, advises senior leaders, manages risks and dependencies, and drives measurable business outcomes.

Build and maintain Contentful Marketplace features, applications, services, APIs, and developer tooling. Contribute across Applied AI, extensibility, integrations, and platform capabilities while improving contribution workflows, trust and safety, reliability, observability, and operational quality. Collaborate with product, design, and engineering teams, own software in production, and use AI-assisted development workflows to improve engineering productivity and delivery.

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.

Leads systems software prototyping and workload characterization for Azure hardware/software co-design. The role optimizes AI inference and LLM workloads, especially KV Cache placement, migration, and utilization across GPUs, CPUs, CXL memory, storage, and networks. Responsibilities include developing inference framework extensions, instrumentation, performance models, simulation frameworks, and memory-tiering proof-of-concepts while influencing long-term architecture and collaborating with hardware, software, workload, and industry partners.

Designs, develops, tests, deploys, and maintains UiPath RPA solutions, including attended, unattended, and scheduled bots. Integrates automations with APIs, databases, government systems, and cloud services while implementing monitoring, exception handling, security, and compliance controls. Builds Agentic AI solutions using UiPath AI products, LLMs, RAG, prompt engineering, intelligent document processing, and human-in-the-loop workflows. Supports troubleshooting, documentation, governance, and citizen service modernization.

Lead and mentor a distributed team of 13 engineers across AI/ML, cloud backend, frontend, and DevOps. Own delivery cadence, remove blockers, plan milestones, manage performance, and foster career development. Champion CI/CD, cloud automation, monitoring, documentation, and engineering excellence. Partner with German and US leadership on operations, architecture, organizational alignment, and scalable processes across time zones.

Lead the vision, architecture, and hands-on development of Epiq’s data and AI platforms. Manage a distributed team of 80–100 engineers, establish software engineering standards, and deliver scalable cloud-native services, data pipelines, governance, quality, and AI-ready foundations. Partner with Product, AI/ML, Analytics, and business stakeholders on APIs, event-driven systems, data integration, observability, model operations, GenAI, vector search, and responsible data practices.

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.

Early-career full stack internship developing frontend and backend features under senior guidance. Integrate AI coding tools into workflows, translate product requirements to implementations, contribute across the product lifecycle, and suggest cross-team process improvements while learning full-stack practices.

Build, test, deploy, and support production software using .NET/C#, React or Next.js, cloud platforms, databases, observability, and modern architecture patterns. Incorporate Claude Code, Gemini CLI, AI agents, MCP, and automation into structured engineering workflows while validating AI-generated output. Own delivery from planning through production, implement secure integrations and testing, document architectural decisions, troubleshoot systems, identify risks, and mentor engineers on responsible AI adoption.

Design, develop, test, deploy, and operate large-scale distributed systems and AI infrastructure services. Build resource management, workload orchestration, capacity management, and control-plane capabilities using C# on Kubernetes and AKS. Troubleshoot production issues, improve scalability and reliability, collaborate cross-functionally, participate in architecture and design reviews, and provide operational support and on-call ownership.

Build scalable software, telemetry and test-data pipelines, automated analysis tools, reporting systems, and user-facing HPC applications for aerospace engineering teams. Own software through design, testing, deployment, and operations; prototype AI, computer vision, APIs, and analytics solutions; and collaborate with HPC engineers and domain experts across avionics, propulsion, structures, GNC, and launch operations.

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.

Conducts research and develops AI, robotics, IT/OT, software, and hardware solutions for Ameren’s innovation initiatives. Responsibilities include testing advanced modeling tools, creating technical requirements, designing software and hardware components, supporting developmental projects, and presenting project results. The intern collaborates with business segments to deliver technology solutions aligned with strategic business needs.

Build scalable AI capabilities for Fidelity Wealth, partnering with business, product, architecture, data, and platform teams. Develop secure, reliable, production-ready solutions; apply modern software architecture, cloud platforms, testing, and design patterns; lead technical discussions; mentor engineers; and deliver end-to-end full-stack systems.

Develop scalable AI-powered Salesforce solutions using Agentforce, Data 360, Apex, Lightning Web Components, and JavaScript. Responsibilities include building agents, workflows, automations, data architectures, integrations, and customer solutions; collaborating with project teams; explaining technical concepts to stakeholders; maintaining Salesforce certifications; and supporting evolving AI technologies. The role includes up to 25% travel for customer projects and company events.

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.