Senior Engineer, DevOps

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 DevOps 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.

Responsibilities

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 Skills and Expertise

Passionate for continuous learning and understanding things in and around DevOps, site reliability, high availability and release engineering best practices

BS/MS in Computer Science or equivalent practical experience

4+ years of experience in software languages like TypeScript, JavaScript, Python, Go, etc.

Deep experience with AWS cloud infrastructure and services, including EKS, EC2, VPC, Route53, S3, RDS (Postgres), MSK, Lambda, ECS, DocumentDB

In-depth knowledge of Kubernetes, including experience with deploying, managing, and scaling clusters

Experience with Configuration Management and Infrastructure as code: Terraform, Kustomize, Helm, CloudFormation, Ansible, etc

Extensive networking experience

Experience with Linux and shell scripting

Experience with Datadog, SumoLogic, OpsGenie, 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 usageBonus

Previous startup experience

Experience with growing large teams and can describe the issues that arise with growth.

Experience operating and monitoring large Kafka clusters

Experience with cloud development using TypeScript, JavaScript, Python, Go, etc.