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Python Kubernetes Software Engineer Data Jobs in Strasburg, CO

LeoLabs, Inc.

Senior Software Engineer

Denver, CO · On-site

$126K - $166K/yr

This role will work closely with radar systems engineers, signal processing engineers, data ... Proficiency in Python, Go, or a similar language * Understanding of architecture patterns, service ...

Five and Fly

Software Engineer

Denver, CO · On-site +1

Solve deep technical challenges like data orchestration at scale, secure data flow optimization ... Deep expertise in Python, distributed architectures, and AWS, Azure, or GCP. * Proven success ...

CACI

Software Engineer

Denver, CO · On-site

Develop, test, and maintain software applications using Java and/or Python. Design and implement ... Integrate and manage structured and unstructured data using relational and non-relational database ...

CACI

Software Engineer

Denver, CO · On-site

Develop, test, and maintain software applications using Java and/or Python. Design and implement ... Integrate and manage structured and unstructured data using relational and non-relational database ...

G2M Insights

Data Engineer

Denver, CO · On-site

$100 - $125/hr

We combine strategy, analytics, artificial intelligence, and software engineering to build trusted ... Strong programming skills in Python * Strong SQL skills * Understanding of relational databases and ...

Everwatch

Software Engineer

Aurora, CO

$185K - $210K/yr

Experience with Java, JavaScript, Python, and front-end frameworks such as React * Experience with ... Docker, Kubernetes * Experience with data processing and analysis using Apache Flink, Jupyter ...

Everwatch

Software Engineer

Aurora, CO · On-site

$185K - $210K/yr

Experience with Java, JavaScript, Python, and front-end frameworks such as React * Experience with ... Docker, Kubernetes * Experience with data processing and analysis using Apache Flink, Jupyter ...

DomainTools

Senior Software Engineer

Denver, CO · On-site

$126K - $166K/yr

... Python, Rust, GoLang, and cloud infrastructure (AWS, Docker, Kubernetes) who is eager to take on ... Discover, analyze and validate new data sets to add value for our customers * Creative problem ...

DomainTools

Senior Software Engineer

Denver, CO · Remote

$125K - $165K/yr

... Python, Rust, GoLang, and cloud infrastructure (AWS, Docker, Kubernetes) who is eager to take on ... Discover, analyze and validate new data sets to add value for our customers * Creative problem ...

Everwatch

Software Engineer

Aurora, CO · On-site +1

$72.12 - $84.14/hr

Experience with WebSockets for real-time data handling and interactive features * Experience with ... Experience with Python 3.12, asyncio and pydantic libraries * Experience with DevOps practices and ...

Geologics

Software Engineer

Aurora, CO · On-site

$85 - $140/hr

Experience with microservices in an AWS environment using Docker and Kubernetes. * Experience with ... Experience developing software using C++ and Python. Responsibilities: * Design, develop, test ...

Geologics

Software Engineer

Aurora, CO · On-site

$85 - $140/hr

Experience with microservices in an AWS environment using Docker and Kubernetes. * Experience with ... Experience developing software using C++ and Python. Responsibilities: * Design, develop, test ...

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Machine Learning Engineer / MLOps Engineer

Denver, CO

Bet365
5 - 10K employees
Learn more about Bet365external

Full-time

Re-posted 4 days ago

Bet365 rating

8.9

Company rating: 8.9 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

2nd of 15 rated gambling companies

Job description

hackajob is collaborating with Bet365 to connect them with exceptional professionals for this role.

We are seeking a highly pragmatic, results-driven Machine Learning (ML) Engineer to join our newly established US Data team. In this role, you will build the reliable, automated infrastructure that powers our machine learning lifecycle.

Your primary mission is to operationalize and scale the models developed by our data science team, taking them from prototype to robust, production-grade systems with high velocity.

You’ll focus on building reliable, automated and maintainable systems, keeping solutions pragmatic rather than over-engineered. You will also be passionate about automation, software engineering excellence, and MLOps.

You will report to the Data Science Team Leader and work in close alignment with the US AgentOps Team Lead (responsible for agentic and model orchestration platforms) and our UK technical excellence center. You will act as the bridge between model development and reliable platform engineering.

Preferred Skills and Experience

  • Proven experience as an ML Engineer, Data Engineer, or Software Engineer with a clear focus on deploying, monitoring, and scaling machine learning systems in production.

  • A pragmatic, proactive approach to system design, prioritizing speed, reliability, and business value over complex, theoretical infrastructure.

  • Strong Python programming skills, with a solid grasp of software engineering patterns, API development, and automated testing frameworks.

  • Extensive hands-on experience with Google Cloud Platform (GCP).

  • Practical experience with Vertex AI (specifically Vertex AI Pipelines, Endpoints, and Workbench).

  • Proficiency with containerization (Docker) and container orchestration tools.

  • Excellent communication skills, with the ability to translate software engineering concepts for data scientists and operational requirements for product leads.

  • Experience utilizing Infrastructure as Code (IaC) tools such as Terraform.

  • Experience running containerized workloads on Google Kubernetes Engine (GKE).

  • Familiarity with real-time streaming tools like Apache Kafka or GCP Pub/Sub.

What you will be doing

  • Owning the deployment of machine learning models to production. Build and maintain scalable, low-latency prediction endpoints using GCP Vertex AI.

  • Designing, implementing, and maintaining CI/CD/CT (Continuous Integration, Continuous Delivery, Continuous Training) pipelines for machine learning workflows using Vertex AI Pipelines, Cloud Build, and related GCP tools.

  • Setting up automated monitoring and alerting frameworks (e.g., Vertex AI Model Monitoring) to track data drift, model drift, and system performance in real-time.

  • Championing best practices for software engineering within the Data Science team, including robust unit testing, containerization, version control, and CI/CD automation.

  • Working closely with the Data Science Team Leader, Junior Data Scientists, and the AgentOps Team Lead to accelerate deployment cycles, remove operational bottlenecks, and maintain high deployment velocity.

What Bet365 employees say

Pay

Benefits

Hours and flexibility

Workplace

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