DevOps Engineer

Quarterhill•Frisco, TX

10d

About The Position

Join our forward thinking team building the next generation of Intelligent Transportation Systems! We’re looking for a seasoned DevOps 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, GraphQL, 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.

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent work experience).
Proven experience as a DevOps Engineer or in a similar role, with at least 5+ years of experience in DevOps, 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, BigQuery, 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 GitOps experience for Kubernetes deployments
Strong experience in identifying, diagnosing, and triaging various system issues related to performance and reliability
Experience with CI/CD tools, such as Github Actions and GitOps methodologies
Knowledge of monitoring and observability tools (Grafana, Prometheus, OTEL, etc.)

Nice To Haves

AWS Certified Solutions Architect, Kubernetes Certified Administrator, or similar certifications (preferred but not required).
Experience with on-premise/edge deployments and hybrid cloud architectures
Background in transportation or other related industries deploying and debugging software
Knowledge of microservices architecture and container orchestration tools.
Familiarity with infrastructure-as-code (e.g., Terraform, AWS CloudFormation).
Strong understanding of networking, load balancing, and security protocols.

Responsibilities

Implement and manage production-grade Kubernetes clusters using Argo CD for GitOps 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
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
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
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
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.
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