Top Software Engineer Jobs

Entry-level programmer trainee supporting software development for mainframe systems, Salesforce, and business applications. Responsibilities include coding, testing, debugging, code reviews, troubleshooting, documentation, and learning programming languages and Salesforce tools. The role also involves responsible use and validation of AI-assisted development tools, collaboration with senior programmers, completion of training, and adherence to security, privacy, compliance, and change-management standards.

Designs and maintains high-performance C++ software and Windows user-mode components. Responsibilities include DLL injection, API hooking, Windows security protocol integration, crash dump analysis, BSOD investigation, and troubleshooting complex system issues involving memory, synchronization, RPC, DCOM, authentication, and directory services.

Build and own backend services, GraphQL APIs, data models, and integrations for Chief’s member platform. Develop and operate LLM-powered features including concierge and matching, with secure retrieval pipelines, monitoring, evaluation, and human review. Maintain highly available systems through observability, testing, incident response, and postmortems. Partner cross-functionally, make architecture tradeoffs, improve AI-assisted engineering practices, and mentor engineers and contractors.

Design, develop, deploy, and maintain AWS cloud applications and infrastructure. Build CI/CD pipelines and Infrastructure as Code, implement IAM security practices, monitor and troubleshoot production systems, document architectures, participate in code reviews and on-call support, and evaluate emerging AWS technologies.

Design, develop, test, debug, document, and support customer-facing web and mobile applications. Build Azure cloud solutions using .NET, JavaScript, React, Angular, serverless technologies, and platform services. Integrate business systems, troubleshoot software issues with customers and technical teams, and evaluate enhancement requests to improve application quality and user experience within an Agile environment.

Develop and maintain global demo web applications, fictional customer sites, Genesys Cloud demonstrations, and end-to-end API integrations. Manage AWS infrastructure, DevOps automation, CI/CD, infrastructure as code, monitoring, and cost optimization. Integrate AI and LLM technologies into workflows and demos. Troubleshoot escalated environment issues and collaborate with Sales Engineering, Product, Engineering, Marketing, and Partners to deliver reliable, compelling demonstrations.

Develop, enhance, and support scalable SaaS and enterprise digital products. Lead backend development, design relational schemas, contribute to frontend UX, write automated tests, use CI/CD, mentor junior engineers, triage production issues, participate in cross-functional design and release reviews, and help hire and research new technologies.

Leads a 10–12 person engineering team building Java and AWS cloud-based geospatial microservices. Establishes engineering standards, oversees architecture and delivery, mentors developers, and drives Agile, DevSecOps, CI/CD, automated testing, and cloud-native practices. Designs scalable services for geospatial querying, analytics, ETL, visualization, and mission applications while integrating AI and ML capabilities. Collaborates with stakeholders, manages technical execution, conducts reviews, and supports secure, reliable enterprise systems.

Design, develop, and deploy scalable full‑stack web applications. Lead architecture and technical planning, build React UIs, implement backend services in Python/Go, optimize PostgreSQL schemas, leverage AWS, mentor engineers, and own features end‑to‑end in an Agile environment.

Serves as the technical authority for hybrid database platforms across SQL Server, PostgreSQL, MySQL, Azure SQL, and AWS RDS. Designs and operates high-availability, clustering, replication, backup, disaster recovery, security, compliance, and performance solutions. Automates administration with PowerShell and infrastructure-as-code, supports cloud migrations, reviews schemas and database code, guides developers on optimization, maintains documentation, and provides technical leadership without direct reports. Participates in on-call support and prepares database platforms for AI-driven workloads.