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Full-time
Posted 31d ago
~40 hrs/week
Responsibilities
Lead the technical direction of the platform's integrations and transition growth-era patterns into enterprise-grade standards. Architect and build distributed systems while mentoring senior engineers and translating customer requirements into scoped engineering work.
Requirements
Requires 8+ years of experience building production software with deep expertise in Python, Go, Node.js, PostgreSQL, and Kubernetes on Azure. Must have a strong grasp of non-functional design, secure integration protocols, and production-grade observability.
Full job description
About Us
Are you ready to build the future of supply chain? At Gather AI, we're not just creating software; we're pioneering a new era of warehouse intelligence. We've developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining "on-time, in full" delivery.
If you're looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We're leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time.
About the Team
You'll join the fullstack and WMS integration teams at a pivotal moment: live systems, real enterprise customers, and a platform being deliberately re-engineered from growth-era tradeoffs into a durable, enterprise-grade foundation. The team owns everything from customer-facing integrations to the core services and data layer beneath them, and works in close partnership with product, security, and customer success to turn ambiguous requirements into dependable, well-architected systems.
About the Role
Most staff engineering roles ask you to choose between architecture and code, or between engineering and customers. This one doesn't.
As Staff FullStack Engineer, you'll set the technical direction for how Gather AI's platform integrates with the world, while staying hands-on with the code, infrastructure, and Kubernetes clusters that run it. You'll lead the shift from ad hoc, growth-era integration patterns to enterprise-grade standards, elevate a live customer-facing solution alongside the engineer already driving it, and become the single US-based point of contact who turns customer requirements into shipped, scoped engineering work. This is a hybrid role based at our Pittsburgh, PA headquarters.
What You'll Do
Architect and build across distributed systems, APIs, integrations, and infra shipping your own code with performance, fault-tolerance, and horizontal scale as first-class design concerns.
Own the platform's non-functional bar by setting explicit targets for scalability, reliability, availability, latency, performance, security, and observability, and holding the full stack to them.
Partner with team members on multiple projects like MHEV, Drone and 3DCC to elevate and deliver solutions in technical design and take new requirements to production at high SDLC standards (testable, observable, well-scaled, tuned DB access).
Decompose overloaded APIs into well-bounded services and introduce data-access abstractions that control DB connections and improve scalability.
Retire reliability and compliance debt (e.g., PostgreSQL upgrades), stand up production observability metrics and alerts, and reduce delivery friction with CI/CD and AI-assisted delivery.
Serve as the US-based single point of contact for fullstack work, partnering with Customer Success to turn customer requirements into clear, well-scoped engineering.
Mentor senior engineers and raise the bar on engineering practices across backend and infrastructure.
What You'll Need
8+ years building and operating production software, with a track record of taking large, stateful systems to enterprise-grade scale and reliability
Deep hands-on experience with Python, Go and Node.js, PostgreSQL at production scale, and Kubernetes on Azure, from architecture through independent production debugging
Depth in APIs and integrations across internal service-to-service and external partner integrations: REST, protobuf, messaging, and OAuth, plus secure integration protocols across HTTP, SFTP, email, and IPSec, designed for resilience and secure data exchange
Deep grasp of non-functional design: scalability, availability and failure modes, latency budgets, caching, and security as first-class concerns, not afterthoughts
Solid, hands-on CI/CD: building and owning automated build, test, and deployment pipelines that make delivery fast and safe
Production-grade observability: instrumenting logs, metrics, and traces, and using them (with SLIs/SLOs and incident response) to keep systems healthy
Practical AI-assisted engineering, using tools such as Claude across the SDLC with sensible guardrails
Establishing best practices that raise team's engineering standard
Comfortable running customer-facing technical conversations and translating ambiguous requirements into scoped engineering work
Prior direct customer-facing experience is not required, but candidates must demonstrate confidence and readiness to join customer calls when needed - troubleshooting issues, explaining API integration capabilities, etc.
Nice to Have
Domain experience in logistics, warehouse management systems, or robotics-adjacent platforms
Experience taking systems multi-region with read-write replication or geo-distribution
Experience adopting AI across the software development lifecycle, including GenAI code-validation guardrails
Related keywords
Full StackSupply ChainWarehouse IntelligenceRoboticsDistributed SystemsAPIsInfrastructureKubernetesAzurePostgreSQLPythonGoNode.jsRESTProtobufMessaging
The Physical AI platform for logistics. Dock-to-dock intelligence on every product and every movement.
Industry
Software Development
Company size
51-200 employees
Founded
2017
Headquarters
Pittsburgh, Pennsylvania
LinkedIn followers
9,888
Total funding
$74M
Gather AI is the Physical AI platform for logistics. We give the companies that run the world's warehouses a continuous, accurate picture of what is happening on the floor across every facility, the intelligence to understand what it means, and the workflows to act on it. The platform, Gather AI Prana, observes the warehouse continuously and reasons over what it sees alongside the systems already in place, so the network runs on current ground truth instead of yesterday's count. The result is dock-to-dock intelligence, one live picture of the operation serving every role from the floor to the C-suite.
Offices: 1138 River Ave, Pittsburgh, Pennsylvania 15212, US
WarehousingRoboticsArtificial IntelligenceLogisticsSoftwareSupply Chain ManagementData Collection and LabelingArtificial Intelligence (AI)DronesMachine Learning
How much do Technology jobs in Pittsburgh, PA pay?
Based on 533 listings with disclosed salaries, most technology jobs in Pittsburgh, PA pay between $69k–$200k per year. Individual offers vary with seniority, company size, and specialization.
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There are currently 1,202 open technology positions in Pittsburgh, PA listed on Clera. New openings are added daily as companies post roles.
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Companies currently hiring include PNC, BNY, Carnegie Mellon University - School of Computer Science - Language Technologies Institute, UPMC, Aurora, among others. Browse the listings above to see every active employer.
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