Top Engineering Jobs

Join a small fintech team to design, build, and scale a rewards platform. Work with product and engineering leadership to implement features across frontend and backend, contribute to architecture, and learn cloud and security practices.

Manage EDI connectivity and trading partner integrations, including queue monitoring, mapping, onboarding, testing, troubleshooting, ticket resolution, and transmission issue remediation. Configure FTP, SFTP, and VAN connections, maintain documentation, and communicate with external partners. Support migration from on-premise Cleo platforms to Cleo Integration Cloud while developing SQL validation and integration engineering capabilities.

Leads Accounts Engineering, managing approximately eight full-stack developers. Responsibilities include hiring, coaching, performance management, technical direction, architectural alignment, roadmap prioritization, project planning, operational reliability, on-call health, and delivery quality. The role partners with Product and Data Science, drives high-velocity product launches, manages platform and product engineering priorities, and promotes AI-assisted engineering practices.

Lead engineering of a cross-platform web game: write code, build infrastructure, collaborate with founder and creative team, prototype features, and contribute to game design. Start contract-to-hire, moving to full-time if fit.

Lead hardware engineering for IoT devices focusing on PCB design, embedded firmware, and low-power long-range communications (LoRaWAN and Sub-GHz). Manage multidisciplinary teams, ensure regulatory compliance and interoperability, optimize power consumption and network performance for industrial LPWAN deployments, and drive technical strategy for scalable, reliable connected devices.

Design compact connected hardware from concept through prototyping and validation for IoT devices. Optimize for connectivity, energy efficiency, durability, usability, and manufacturability. Collaborate with software and engineering teams, participate in design reviews, and apply current hardware design trends and tools.

Design and develop wireless power transfer and energy-harvesting hardware for IoT and wearable devices. Apply power electronics, RF and electromagnetic theory to create ICs and circuits, integrate solutions into scalable systems, optimize energy efficiency, and drive sustainable innovation for large sensor networks.

Manage and modernize end-user computing infrastructure, including Workspace ONE, IGEL OS, Active Directory, Google Workspace, endpoint images, virtual desktops, applications, and identity integrations. Responsibilities include device provisioning, patching, automation with PowerShell, troubleshooting, security hardening, performance monitoring, helpdesk escalation, and platform upgrades. The role requires collaboration with infrastructure and security teams and participation in hybrid Agile-Waterfall initiatives.

The role involves designing backend services, improving developer experience, building internal tools, and collaborating with cross-functional teams to enhance engineering practices at WGU.

Design, prototype, and deliver full-stack product features from database schemas and APIs through user interfaces and deployment. Build scalable Node.js and Python backends, modern JavaScript front ends, cloud-native AWS systems, and secure integrations. Experiment with AI technologies including LLMs, embeddings, and agents, using performance data to guide recommendations. Provide technical leadership, mentorship, architecture decisions, debugging, optimization, and production delivery.

Operate, monitor, troubleshoot, and optimize global network infrastructure across datacenters and telco partners. Diagnose complex network incidents, drive root-cause analysis, implement long-term fixes, document configurations and procedures, coordinate cross-team remediation, and support network architecture, routing, and peering for LAN/WAN/wireless environments.

Staff-level platform engineer to improve and scale inherited Scala systems, redesign data layers for ML/AI, build a Rust service framework, enhance observability and resilience, shape developer tooling and standards, and work across JVM, Rust, Python, SQL, and Spark.