DevOps Engineer

Overview

Join our forward thinking team building the next generation of Intelligent Transportation Systems! We’re looking for a seasoned Dev Ops Engineer who’s equally excited about cutting-edge technology and having an outsized impact on the future of transportation. Operating as a small startup within a larger company, we move fast, learn constantly, and build solutions that will scale with our growing SaaS platform.

You’ll work with our modern tech stack (Go, Python, NATS, Numaflow, Kubernetes, Dagster, Graph

QL, Terraform) to build and maintain infrastructure that supports real-time data processing across cloud and on-premise environments. We’re seeking someone who’s not just technically excellent, but genuinely curious, quirky, and thrives in an environment where your contributions directly shape the product the team.

• Core Area 1:
  Infrastructure Management and Automation
  • Implement and manage production-grade Kubernetes clusters using Argo CD for Git Ops deployments and Terraform for Infrastructure as Code
  • Build and maintain scalable infrastructure solutions for both cloud and on-premise environments
  • Implement robust CI/CD pipelines with a focus on containerized applications
  • Manage infrastructure performance, ensuring high availability for mission-critical systems
• Core Area 2:
  Data Infrastructure
  • Maintain our S3-based Data Lake infrastructure integrated with Dagster for scalable data orchestration
  • Manage and optimize our NATS messaging system for real-time event streaming and communication
  • Manage infrastructure to performantly run our Numaflow pipelines for real-time stream processing and reliable data flow
  • Scale data infrastructure to support growing SaaS platform and expanding customer base
• Core Area 3:
  Edge and Hybrid Cloud Operations
  • Deploy and manage on-premise/edge computing infrastructure
  • Implement hybrid cloud solutions that seamlessly integrate edge deployments with centralized cloud infrastructure
  • Ensure reliable connectivity and data synchronization between edge nodes and central systems
  • Optimize compute resource allocation across distributed computing environments
• Core Area 4:
  Development Collaboration
  • Work closely with our development teams to optimize containerized application deployment of Go and Python code
  • Manage and enhance our Bazel build system and evaluate complementary build tools
  • Collaborate with our small team to rapidly prototype, test, and deploy new features
• Core Area 5:
  Security and Compliance
  • Integrate security practices into the CI/CD pipeline to ensure that all software releases meet stringent security standards
  • Maintain compliance with industry regulations (e.g., PCI DSS, GDPR) and internal security policies to ensure that sensitive data is protected
  • Stay current with security trends and emerging threats, implementing updates and patches to mitigate vulnerabilities
• Core Area 6:
  Monitoring, Performance, and Reliability
  • Implement comprehensive monitoring solutions for distributed systems, data pipelines, and message brokers
  • Proactively identify and resolve performance bottleneck in data processing
  • Ensure system reliability and disaster recovery capabilities across cloud and edge environments

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent work experience).

• Proven experience as a Dev Ops Engineer or in a similar role, with at least 5+ years of experience in Dev Ops, IT infrastructure, or software engineering.
• Hands-on, production experience with Kubernetes for at least 3+ years of time
• Proven experience managing Data Lakes/Data Warehouses (e.g. Hadoop, Spark, Snowflake, Big Query, etc.)
• Experience working in a high-availability, high-performance environment, such as transportation, data analytics, or financial systems

• Expert-level Kubernetes knowledge including cluster management, networking, storage, and security
• Terraform proficiency for Infrastructure as Code across multiple cloud environments
• Bazel build system experience or familiarity with large-scale build systems used in monorepo settings (Buck, NX, Turbo, Pants, etc.)
• ArgoCD or other Git Ops experience for Kubernetes…