Senior Systems & Infrastructure Engineer

Buzz Solutions

About The Position

Buzz Solutions uses AI to help utilities inspect power-grid infrastructure and identify faults that could lead to outages or wildfires. Its PowerAI platform analyzes imagery from drones, helicopters and fixed-wing aircraft to detect damage and vegetation encroachment. The Systems & MLOps team operates the infrastructure, data pipelines and model-serving layer supporting Buzz products, processing large volumes of high-resolution inspection images through upload, preprocessing, AI inference and customer records. The Senior Systems & Infrastructure Engineer will own and improve the cloud infrastructure behind Buzz products, making it secure, observable, cost-efficient and ready to scale. This infrastructure and DevOps role works closely with backend engineers, owning cloud systems, clusters, data stores and observability while also writing code and helping build the services, schemas and pipelines that run on the platform. The engineer will define how systems are provisioned, deployed, scaled and operated, collaborating with Systems, ML and Platform leads and with the solutions team deploying PowerAI in utility environments with strict security and compliance requirements.

Requirements

At least 6 years building and operating production systems, including at least 3 years owning cloud infrastructure end to end.
Deep hands-on experience with at least one major cloud provider—Google Cloud preferred, or AWS or Azure—including networking, IAM, compute, managed databases and object storage.
Production Kubernetes experience designing, upgrading, debugging and scaling clusters.
Terraform experience at scale, including module design, state management, review workflows and environment parity.
Postgres and Redis infrastructure experience, including replication, high availability, backups, connection pooling and capacity planning.
CI/CD and container delivery experience with Docker, security scanning and a GitOps or equivalent release process.
Observability and on-call experience, including setting SLOs, building trusted alerting and leading incidents to resolution.
Practical security fundamentals, including least privilege, secrets management, network segmentation, encryption and vulnerability scanning.
Backup and disaster recovery experience with tested recovery objectives.
Cloud cost-management experience, including tagging, budgets, rightsizing and committed-use planning.
Clear written communication, including design documents, runbooks and incident notes.

Responsibilities

Own cloud environments on Google Cloud, with AWS and Azure footprints where customers require them, including networking, IAM, compute, storage and managed databases.
Use Terraform to provision every environment through reviewed, repeatable deployments and maintain parity across development, staging and production.
Design and operate clusters, including upgrades, autoscaling, GPU node pools for inference, ingress, secrets and workload isolation.
Manage data-store infrastructure, including Postgres/PostGIS, Redis, object storage and queues, with an emphasis on speed, reliability and fault tolerance.
Implement autoscaling, capacity planning and back-pressure so bursty inspection workloads can scale without dropping work.
Own CI/CD processes for building, testing, security scanning, container image management and progressive deployment with GitOps such as Argo CD or similar.
Provide metrics, logs and traces, and establish SLOs, alerting and dashboards used by the team.
Implement backup, disaster recovery and business continuity, including tested recovery objectives.
Apply security practices including least-privilege access, network segmentation, encryption and secrets management; support SOC 2, customer security reviews and single-tenant deployments.
Manage cloud costs through tagging, budgets, rightsizing, committed-use planning and per-customer unit economics.
Turn loosely defined infrastructure problems into scoped designs, set standards and review code.
Contribute to incident response and on-call design, and lead blameless postmortems with measurable improvements in uptime and recovery time.
Work with backend engineers to build services, schemas and pipelines that operate on the infrastructure.
Collaborate with Systems, ML and Platform leads and the solutions team supporting deployments in utility environments.