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 You

As a Distributed Systems Architect at Gather AI you will serve as a technical anchor for our engineering organization. This role is for someone who thrives on the challenge of evolving mature, complex SaaS systems, setting technical direction, architecture, and ensuring our platforms remain reliable and perform as we scale. To be successful in this role, you must be able to design, evaluate, and guide decisions across the entire stack—from database internals to distributed service patterns.

What You’ll Do

• Own Architecture: Align backend, frontend, platform, and infrastructure decisions into a coherent, enterprise-grade architecture.
• Reflect Excellence: Replace "firefighting" with predictable execution. You will lead the effort to retire scalability and reliability debt, safely upgrade critical infrastructure, and reduce single-threaded dependencies.
• Set Direction: Set the standard for engineering technical hygiene. You will drive high-level decisions on testing strategies, validation guardrails, and system design concerns that directly impact delivery speed and maintainability.
• Evolve Systems: Modernize and scale existing production systems by applying database-level strategies (schema evolution, replication tradeoffs) and platform primitives (orchestration, runtime constraints) as architectural tools.
• Mentor: Elevate the organization by establishing shared practices, aligning terminology, and mentoring senior talent across the engineering team.

• Exhibit First-Principles Thinking: Establish a deep understanding of data systems, latency-sensitive services, and failure modes.

Requirements:

• Distributed Systems: Mastery of performance-sensitive REST APIs, caching strategies, and core distributed systems concepts.
• Relational Data Systems: Expert-level PostgreSQL (upgrades, query tuning, replication tradeoffs, and schema evolution) and advanced SQL.
• Cloud & Containers: Deep experience with Azure and/or AWS and production-grade Kubernetes/Docker.
• Backend Development: Strong production experience in Node.js and/or Python.
• Reliability & Security: Hands-on experience with Observability (logs, metrics, traces), CI/CD, SRE fundamentals (SLIs/SLOs), and security hygiene (IAM, secrets management).

Bonus points for...

• Domain Expertise: Experience in logistics, warehouse systems, or robotics-adjacent platforms is a plus, but not required. We value your ability to apply sound architectural judgment to new problem spaces.
• Future Scale: If you have operated at a slightly smaller scale but can reason clearly about "what breaks next" (e.g., multi-regional architectures or advanced data governance), we will help you bridge that gap.
• Organizational Maturity: While we value experience driving org-wide standards, we don't expect perfection on day one. We look for the intent to elevate our shared practices as you build trust.
• AI-Ready: At Gather, we are at the leading edge of both applied classical ML and next-gen LLM/VLM AI. Come prepared to work with the latest and greatest tooling. 

Why This Role?

In this position, you won't just be writing code; you will be designing the future of a scaling organization with the autonomy to solve high-stakes problems.

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

Gather AI is at the forefront of Physical AI for intralogistics — using autonomous drones and computer vision to deliver real-time insights that digitize warehouse operations and redefine supply chain efficiency. Our interdisciplinary engineering teams are building the data and systems foundations that power intelligent, scalable solutions used across global operations.

About the Role

Reporting to the engineering leadership team, the Staff Database Engineer will own the evolution of our data layer from growth-optimized foundations to enterprise-grade reliability and performance. You will define replication, scaling, latency, and governance strategies while serving as the primary authority for database operational excellence. In this role, you will shape database engineering practices for a mission-critical system, directly impacting the reliability and performance of a platform powering Physical AI in warehouse operations. 

You’ll work on systems supporting real-time, AI-ready data access at scale and join a high-growth, technology-driven team solving complex infrastructure challenges—making a visible, lasting impact on platform stability, product scalability, and AI-driven workloads.

What You’ll Do

• Lead the design, optimization, and scaling of relational and distributed databases to meet uptime, performance, and latency goals
• Define and implement replication, multi-region read/write strategies, backup/HA, and disaster recovery
• Establish governance, compliance (ISO/SOC2), and operational standards for data infrastructure
• Drive database performance tuning, capacity planning, and lifecycle automation
• Collaborate with engineering and infrastructure teams to ensure data systems meet SLAs and support AI/ML workloads
• Provide architectural leadership on PostgreSQL and MongoDB systems and scaling approaches

What You’ll Need

• 8+ years designing and operating production-grade relational databases, with deep PostgreSQL expertise
• Ownership of database architecture, replication, scaling, indexing, and performance strategy across PostgreSQL and MongoDB
• Proven experience operating high-availability, multi-region, multi-tenant SLA-backed production systems
• Advanced SQL and query optimization expertise and automation capability
• Experience defining governance, compliance, and operational standards for enterprise-grade data platforms

Nice to Have

• Experience designing systems for dynamic, AI-driven queries without compromising transactional performance
• Familiarity with CDC pipelines, event streaming, and data lifecycle strategies

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

This role sits within the Backend and Platform Engineering organization. You'll work day-to-day alongside the Fullstack Engineering team, ensuring application services have the cloud infrastructure they need to scale safely and deploy reliably. You'll also partner closely with the ML Systems Engineering (Ops) team, enabling the infrastructure capabilities required for production ML pipelines, model serving, and data workloads. Cross-functionally, you'll collaborate with QA, Release Engineering, and Platform and Security stakeholders to ensure cloud environments support stable testing pipelines, access control, secrets management, and operational governance.

About the Role

We are looking for a Cloud Engineer (Platform & Infrastructure) to help mature our cloud operations into a structured and scalable platform. Our foundational infrastructure is already in place and actively supporting production workloads, but many current practices evolved organically during earlier growth stages. Rather than building from scratch, you'll evolve an existing production environment by introducing stronger operational patterns, improving deployment safety, and ensuring our infrastructure layer reliably supports increasing system scale. This role offers meaningful ownership of the infrastructure backbone supporting a platform that combines real-time application systems with machine learning workloads, and the opportunity to influence how systems are deployed, operated, and scaled as the organization grows.

What You'll Do

• Review and rationalize current Azure and AWS environments, identifying configuration drift, security gaps, and operational inconsistencies, and establish clear configuration standards across cloud accounts
• Introduce repeatable Infrastructure-as-Code patterns to ensure cloud resources are provisioned, versioned, and audited through automated workflows
• Strengthen CI/CD pipelines for infrastructure and application deployment to reduce manual operations and increase release safety across both application services and ML workloads
• Establish consistent logging, metrics, and alerting practices across infrastructure and container workloads to improve operational visibility
• Audit and improve cloud security practices including IAM policies, secrets management, network segmentation, and operational access controls
• Evaluate current infrastructure architecture and introduce patterns that enable workloads to operate portably across both Azure and AWS environments
• Improve Kubernetes platform reliability by refining autoscaling policies, workload isolation, and cluster lifecycle management
• Partner with Fullstack and ML teams to reduce infrastructure friction around environments, networking, and resource provisioning

What You'll Need

• Bachelor's degree in Computer Science, Engineering, or a related field
• 5+ years of experience operating production cloud infrastructure at scale
• Deep experience with at least one major cloud provider (Azure or AWS) and working familiarity with the other
• Hands-on experience with Kubernetes and Docker for running containerized workloads in production environments
• Proficiency with Terraform or equivalent Infrastructure-as-Code tooling for provisioning and managing cloud infrastructure
• Experience implementing automated deployment pipelines using tools such as GitHub Actions, GitLab CI, or similar platforms
• Strong operational mindset with a focus on reliability, automation, and clear technical documentation

Nice to Have

• Experience with observability tooling such as Prometheus, ELK, OpenTelemetry, or similar logging, metrics, and monitoring systems
• Familiarity supporting ML infrastructure workloads including pipeline orchestration, model deployment, and scalable inference environments
• Experience working in logistics, robotics-adjacent platforms, or real-time distributed systems
• Track record of translating application requirements into secure, reliable, and operationally safe infrastructure architecture
• Exposure to cloud cost visibility and optimization practices
• Experience introducing infrastructure governance standards including templates, security baselines, and operational documentation