Top Engineering Jobs

Leads technical post-sales deployments of Google Workspace and related collaboration technologies. Oversees large-scale data migrations from legacy platforms, delivers Google Workspace and Google Cloud professional services, manages parallel projects, supports sales engineering, and presents technical processes and documentation to stakeholders.

Maintains and improves wired and wireless network infrastructure across Thunder facilities. Responsibilities include administering firewalls, switches, VPNs, SD-WAN, ZTNA, routing, segmentation, and network services; troubleshooting complex connectivity issues; implementing infrastructure projects and resiliency improvements; maintaining technical documentation; coordinating vendors and carriers; and providing network support during games, events, outages, and maintenance activities.

Designs, builds, deploys, and operates highly scalable backend workflow platforms and distributed services in AWS. Responsibilities include using Java and Spring Framework, supporting orchestration systems such as Temporal and Netflix Conductor, optimizing reliability and performance, managing observability and incidents, scaling infrastructure, and collaborating across engineering teams. The role also involves technical leadership, mentoring engineers, and guiding architecture and delivery.

Build and ship production systems that transform sensor data into infrastructure intelligence for government customers. Responsibilities include developing Python services, cloud data pipelines, APIs, integrations, and web platform features; owning work from concept through production; improving system performance and reliability; and collaborating with product, operations, and customers. The role also involves using AI coding tools and contributing across the technical stack.

Leads automation, configuration, and management of on-premises and cloud infrastructure. Designs and maintains CI/CD pipelines, manages AWS and SaaS environments, develops infrastructure provisioning and permissions automation, monitors system performance, coordinates vendors, and maintains technical documentation. The hybrid NYC role requires strong AWS, infrastructure-as-code, scripting, containerization, monitoring, and cloud operations expertise.

Architects scalable, secure, compliant, and cost-conscious enterprise infrastructure and AI platforms. Defines AWS-first reference architectures, platform engineering patterns, governance, observability, integration, security, and operational guardrails. Evaluates emerging AI and automation technologies, validates designs through proofs of concept, partners with engineering and IT stakeholders, and guides platform implementation and handoff in a regulated healthcare environment.

Leads new product development projects from planning through manufacturing release. Manages project scope, schedules, budgets, risks, approvals, capital investments, equipment scale-up, design for manufacturability, quality, and stakeholder communication. Collaborates with sales, customers, manufacturing teams, and internal or external production partners while providing technical engineering oversight and resolving quality issues.

Design, build, and maintain pipeline and artist-facing tools across web, desktop, and Unreal surfaces. Develop Python integrations with Maya, Unreal, Nuke, Perforce, and AYON; build AI-assisted features; and own tools through production. Collaborate directly with artists and supervisors, manage work autonomously, and deliver responsive, maintainable, well-tested software.

Designs and supports electrical automation systems for Alfa Laval products, including CAD packages, PLC/HMI programming, documentation, testing, validation, commissioning, troubleshooting, and aftermarket support. The engineer manages small to medium projects from quotation through commissioning, coordinating scope, schedule, budget, customers, suppliers, and field teams. Travel up to 35% is required for installations, commissioning, and customer support.

Own Quvia Grid’s optimization layer for government connectivity programs. Formulate bandwidth allocation, routing, scheduling, and capacity models; implement production solvers and heuristics; select and tune optimization methods; validate solution quality; diagnose deployed-system performance; document model behavior; and translate customer mission constraints into deployable software. The role requires extensive operations research experience, strong software engineering skills, customer engagement, and eligibility for a Secret clearance.