Top Engineering Jobs

Develop full-stack solutions using TypeScript and AWS cloud technologies. Responsibilities include building GraphQL APIs, business logic libraries, AWS Lambda functions with CDK, AWS Glue automation, and Angular/Ionic user interfaces. The engineer will also support CI/CD, Git repositories, linting, developer workflows, requirements management, and HIPAA-compliant software development. Collaboration with engineers, management, and business analysts is required.

Develop, test, document, and sustain software applications supporting missile defense data centers. Responsibilities include building graphical interfaces, visualization tools, SQL database integrations, cloud solutions, and rule-based assessments; analyzing requirements; troubleshooting production issues; verifying software; migrating legacy applications; and supporting Agile, DevSecOps, and CI/CD practices in an integrated DoD development team.

Develops and validates clamping solutions for automotive, heavy-duty, and industrial OEM applications. Responsibilities include product development through APQP, customer technical support, validation testing, test-method development, DFMEA/PFMEA, PPAP, supplier and purchasing support, project management, and engineering process improvement. The role requires hands-on laboratory and manufacturing DOE participation, technical documentation, cross-functional leadership, and compliance with quality and environmental systems.

Build and operate integrations connecting operations, ERP, payroll, contact center, and other business systems. Replace manual workflows with reliable cloud services, develop APIs on Azure, and create internal, driver-facing Android, and customer-facing web applications. The role independently scopes, builds, deploys, and supports production software while partnering directly with the CTO.

Customer-facing technical role designing and supporting SaaS integrations for RFID-based retail inventory deployments. Responsibilities include solution architecture, API and data integration support, technical testing, troubleshooting, deployment optimization, pre-sales demonstrations, customer training, performance analysis, and product feedback. The role requires collaboration with customer IT teams, sales, product specialists, and international technical colleagues while managing multiple implementations and traveling 25–35% domestically and internationally.

Leads IT engineering strategy, teams, and delivery across infrastructure, cloud, networking, compliance, and client implementations. Oversees enterprise and hybrid-cloud solutions, automation, monitoring, DevOps, security compliance, and continuous improvement. Partners with executives, service delivery, sales, account management, and clients on roadmaps, technical solutions, proposals, and business outcomes. Ensures projects meet scope, budget, quality, security, and client requirements while driving scalable MSP services.

Own the microarchitecture and synthesizable RTL design of production memory subsystems for AI ASICs. Design DDR, LPDDR, and HBM controllers, cache hierarchies, memory-side accelerators, scheduling, ECC, QoS, and interfaces. Drive RTL through lint, CDC, synthesis, timing, area, and power closure; collaborate with verification, software, ML, and physical design teams. Support FPGA prototyping and AI-driven design automation using SystemVerilog and Python.

Software Engineer Intern supporting Garda’s Research and Technology team. Responsibilities include developing business solutions with Python and SQL, helping design and implement front-office and risk systems, and supporting internal and third-party applications. The role provides exposure to enterprise software development within a global hedge fund and requires strong computer science fundamentals, object-oriented programming knowledge, problem-solving ability, and effective communication.

Design, build, scale, and maintain enterprise web applications using .NET and Angular. Lead technical design and architectural decisions, optimize application performance, implement automated testing, troubleshoot production issues, and manage the software lifecycle. Collaborate with cross-functional teams, mentor engineers, improve engineering practices, and champion AI-assisted development using coding assistants and LLM-based tools.

Test web, mobile, backend, and AI products; design risk-based testing strategies; create test cases, checklists, and shared data; report, troubleshoot, prioritize, and triage bugs; own end-to-end testing; review requirements; collaborate with product and engineering throughout the SDLC; and advocate for quality and process improvements in a remote environment.