DevOps Engineer Job Frisco area,Texas USA,IT/Tech

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.

Responsibilities

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 bottlenecks in data processing
Ensure system reliability and disaster recovery capabilities across cloud and edge environments

Qualifications

Education:

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

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
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

Technical

Skills:

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 deployments
Strong…