Top Software Engineer Jobs

Lead design, development, deployment, and support of secure, scalable cloud-native Java/Spring Boot microservices on AWS. Build REST APIs, event-driven integrations with Kafka, promote CI/CD, observability, secure coding, and enterprise AI-assisted engineering practices; troubleshoot and mentor engineers.

Lead design, develop, and deliver secure, scalable production software. Drive architecture evaluations, improve operational stability via automation, and champion AI-assisted engineering practices. Mentor teams, enforce secure SDLC/CI/CD standards, and integrate cloud-native solutions using Python, Java, React, and AWS.

Lead the design and implementation of AI-enhanced, pixel-perfect React front-end interfaces for large-scale internal tools. Own and maintain code quality, performance, accessibility (WCAG), testing, and CI/CD practices. Collaborate with product, design, and backend teams, mentor junior engineers, and drive responsible adoption of enterprise-authorized AI-assisted development tools.

The Chief Architect leads the technical design and architecture for application engineering, oversees development, integration of best practices, and manages project documentation.

Lead design, development, and implementation of complex software systems for life & annuity policy administration. Provide technical leadership, mentor engineers, architect scalable mainframe solutions, troubleshoot critical issues, and collaborate with stakeholders to meet performance, reliability, and security goals.

The Web Developer will join an AGILE team to develop business applications, troubleshoot existing applications, and collaborate with various stakeholders.

Lead Appian implementation teams to design, develop, and test scalable solutions. Advise clients on architecture, DevSecOps, integrations, and configuration management. Mentor teams, create best practices, support internal tools, and drive process improvement.

The Senior Staff Enterprise Architect will define the architectural vision for enterprise AI solutions and align IT strategies with business objectives while ensuring adherence to best practices.

Design, prototype, develop, document, test, troubleshoot, and debug moderately complex software for semiconductor equipment components and devices. Create reusable software modules and libraries, implement bug fixes, analyze requirements, manage project schedules, and communicate with internal and external customers. Apply software engineering, machine learning, and AI concepts to deliver reliable solutions.

Design, prototype, develop, and debug moderately complex software for semiconductor equipment components and devices. Create reusable modules and libraries, documentation, and test procedures; troubleshoot software issues and implement fixes. Collaborate with internal and external customers on requirements, schedules, and troubleshooting while applying software engineering, AI, and machine learning concepts.

Design, develop, debug, and troubleshoot complex software for semiconductor equipment components and devices. Create documentation, test procedures, specifications, and test plans for simulators, test benches, and laboratory environments. Analyze requirements, implement bug fixes, communicate with customers, and support project scheduling. The role applies software engineering, AI, and machine learning expertise to solve customer problems and requires collaboration across technical teams.

Design, develop, debug, and document complex software for semiconductor equipment components and devices. Create test procedures, specifications, and test plans for simulators, test benches, and lab environments. Troubleshoot software issues, implement fixes, analyze requirements, coordinate schedules, and communicate with internal and external customers. The role applies software engineering, machine learning, and AI concepts to semiconductor and display technology solutions.

Design, develop, document, test, troubleshoot, and debug complex software for semiconductor equipment components and devices. Define software specifications and test plans for simulators, test benches, and labs. Collaborate with internal and external customers on requirements, schedules, and troubleshooting, while implementing fixes and contributing to AI and machine learning solutions.

The VP of Engineering will own engineering strategy, architecture, scaling, hiring, performance management, and people development. This hands-on leader will write and review code, establish technical direction across two pods, develop engineers into technical leads, represent engineering to executives, and partner cross-functionally to prioritize and deliver critical work. Experience in healthcare, HIPAA, or SOC 2 environments is preferred.

Architect and deliver enterprise-scale software platforms across multiple clients and business domains. Lead architecture decisions, establish engineering frameworks and standards, evaluate emerging technologies, drive software quality and governance, collaborate with stakeholders, and mentor senior engineers. The role requires technical leadership across complex initiatives from concept through deployment while advancing PCCI’s healthcare technology ecosystem.

As a Lead Software Engineer, you'll design and develop GenAI platforms, integrate LLMs, mentor engineers, and solve technical challenges for scalable solutions.

You will lead the Mobile AI engineering team, defining roadmaps, improving product quality, and collaborating cross-functionally to deliver mobile AI solutions.

Design and implement foundational data systems for AI, focusing on efficiency and performance at scale. Collaborate on systems that optimize data handling and contribute to research advancements.

As a Graduate Engineer, you'll design and develop AI agents and features while learning finance operations, coding best practices, and developing APIs in a collaborative environment.

Develop AI agents for finance workflows, design APIs, enhance engineering practices, ensure data security, and facilitate user collaboration.

Lead design and evolution of customer-facing digital commerce systems (checkout, billing, payments, subscriptions, catalog, cart, orders). Use AI-assisted workflows to accelerate coding, review, testing, and documentation while ensuring security and production readiness. Drive architecture and API decisions across modern web apps, improve engineering excellence (testing, automation, observability, DevOps), build reusable patterns, and coach engineers to raise team productivity and technical delivery.

Design, build, and maintain customer-facing digital commerce services (checkout, billing, subscriptions, catalog, cart, orders). Use AI-assisted workflows for coding, testing, review, and documentation. Develop scalable, low-latency APIs and services, improve observability, automation, and engineering practices, and partner with cross-functional teams to deliver reliable solutions.

Designs and delivers Power BI features within Microsoft Fabric, applying AI-native development practices across the SDLC. Provides technical leadership, mentors engineers, guides stakeholders, confirms customer requirements, and supports large-scale production services through on-call incident monitoring. Requires strong software architecture, distributed systems, cloud platform, reliability, performance, security, and AI expertise.

Lead large technology teams to define strategy, architecture, and delivery for wireless/wireline software platforms and AI-driven solutions. Oversee SDLC, data and geospatial platforms, vendor coordination, budgeting, and adoption of AI/advanced analytics to deliver scalable, reliable enterprise systems.

Lead and scale engineering across application, backend, infrastructure, and data teams. Responsibilities include hiring and developing engineers, guiding architecture and system design, driving reliable product execution, establishing engineering standards, shaping platform strategy, and partnering with AI, product, and customer-facing teams. The role also requires maintaining strong reliability, security, and privacy practices for clinical patient data.