Top Software Engineer Jobs

Develop Canvas and Model-Driven Power Apps for web and mobile, automate workflows with Power Automate, and integrate data from Dataverse, SharePoint, SQL Server, and external APIs. Build Power BI dashboards, troubleshoot performance and bugs, manage security roles, gather requirements, train users, and maintain applications. The role also involves Power FX and optional pro-code development using JavaScript, HTML, CSS, or C#.

Develop and enhance the Apex high-performance, cloud-native reporting platform in a large C++ codebase. Design scalable data models and query optimization across distributed database technologies, own features end to end, debug and test complex systems, mentor engineers, guide architecture and refactoring decisions, and collaborate with QA in an Agile environment. Use AI coding assistants responsibly while supporting high availability, network observability, and cybersecurity solutions.

Leads and grows a frontend-focused development team, establishes architecture and engineering practices, drives frontend roadmap execution, reduces technical debt, improves reliability and security, partners with Product and the CTO, and mentors developers. The role oversees SaaS production systems, cloud platforms, APIs, microservices, customer-focused solutions, incident response, and engineering priorities.

Develop scalable backend infrastructure and distributed systems using Java, Spring microservices, and AWS. Translate product requirements into robust code, improve architecture and development processes, troubleshoot performance issues, conduct testing and debugging, participate in code reviews, manage releases, and use static analysis tools. Mentor internal and offshore engineers while collaborating with product, sales, and support teams on growth initiatives.

Provides technical leadership across Homebase’s core product domains, including Payroll, Scheduling, Time Tracking, and HR Management. Defines technical vision, API strategy, service architecture, and domain-driven system decomposition. Resolves cross-cutting scalability, reliability, performance, and data-consistency challenges; mentors senior engineers; drives engineering standards; partners with product, data, design, and leadership; and advances AI-enabled engineering workflows.

Leads architecture, development, and delivery of scalable healthcare applications using .NET, Azure, Kubernetes, SQL Server, and modern web technologies. Provides technical leadership, mentors engineers, conducts code reviews, manages production issues, optimizes database performance, and guides sprint execution across multiple initiatives.

Senior backend (Python) engineer responsible for designing, building and maintaining RESTful backend services and APIs, integrating data science outputs, optimizing performance and multithreading, troubleshooting UAT/integration issues, leading teams, and documenting solutions for enterprise Data-to-Decision systems.

Software Engineering Interns will design, build, test, and improve production enterprise SaaS software across frontend, backend, APIs, data, AI-enabled features, and platform engineering. Responsibilities include developing user interfaces and backend services, integrating databases and APIs, processing data and documents, improving performance and scalability, writing maintainable code, participating in reviews and testing, and collaborating with engineering and cross-functional teams in an Agile environment.

Staff Software Engineer responsible for technical strategy, architecture, complex feature design, implementation, scalability, and greenfield development. The role mentors engineers, leads design and code reviews, drives technical alignment, addresses technical debt, participates in hiring, and remains a hands-on contributor to full-stack enterprise software development using technologies such as PHP, Laravel, Vue.js, and MySQL.

Lead enterprise automation architecture and delivery across RPA, workflow automation, process mining, intelligent automation, testing, bots, citizen development, and AI orchestration. Establish and operate an Automation Center of Excellence, identify high-value use cases, guide implementation, manage governance and regulatory alignment, support training and adoption, and track financial value. Work hands-on with business stakeholders, technology teams, vendors, and external consultants in a regulated life sciences environment.