Senior Engineer, DevOps

Overview

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BrightAI is a high-growth Physical-AI company transforming how businesses interact with the physical world through intelligent automation. We are building a cutting-edge AI platform that processes visual, spatial, and temporal data across billions of real-world events—from edge devices and mobile sensors to large-scale cloud systems.

We are looking for a Senior Dev Ops Engineer who wants to join us in a fast paced setting to build next generation clouds and applications that leverage all the latest technologies in AWS, Kafka, Cloud Native, Containers, Terraform, CI/CD, AI and ML. Our tech stack is a loosely coupled, event-based architecture, built on top of Kafka with many microservices and IoT devices, that processes tens of millions of events a day.

As a member of the team you will play an integral role in shaping the architecture, processes and features needed to maintain and release a high scale cloud platform with teams.

• Building the tools, processes and support for teams to be able to self-manage in an owner operator model
• Establishing and supporting infrastructure as code best practices and patterns for teams
• Managing and supporting engineering teams’ software releases
• Working with cloud engineers to define repeatable processes and patterns for supporting services in a production environment
• Staying on top of latest cloud trends and topics
• Prototyping unproven concepts to inform final implementations
• Automating everything possible. Leveraging CI/CD to automate repeatable tasks and quality checks.
• Managing multiple AWS accounts and providing unified operational support
• Building many common dashboards, monitoring and alerts used by the business

• Passionate for continuous learning and understanding things in and around Dev Ops, site reliability, high availability and release engineering best practices
• BS/MS in Computer Science or equivalent practical experience
• Deep experience with AWS cloud infrastructure and services, including EKS, EC2, VPC, Route
  53, S3, RDS (Postgres), MSK, Lambda, ECS, Document DB
• In-depth knowledge of Kubernetes, including experience with deploying, managing, and scaling clusters
• Experience with Configuration Management and Infrastructure as code:
  Terraform, Kustomize, Helm, Cloud Formation, Ansible, etc
• Extensive networking experience
• Experience with Linux and shell scripting
• Experience with Datadog, Sumo Logic, Ops Genie, Prometheus, Grafana, or similar for reporting and alerts
• Experience with high availability deployments across multiple regions and AZs
• Experience with setting up and maintaining CI/CD pipeline tooling
• Experience working within an Agile environment
• Experience with managing multiple AWS accounts
• Familiarity with leveraging reserved instances
• Experience with AWS Cost explorer and managing usage

• Previous startup experience
• Experience with growing large teams and can describe the issues that arise with growth.
• Experience operating and monitoring large Kafka clusters

• Mid-Senior level

• Full-time

• Engineering and Information Technology
• Industries
• Software Development

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