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Junior Django Developer Remote Jobs in Colorado (NOW HIRING)

Traffic Engineer II

Denver, CO · On-site +1

$106K - $145K/yr

This position will have the ability to work a hybrid schedule of in-office and remote. As part of ... reviewing junior staff's work for technical accuracy and providing technical guidance to other ...

Traffic Engineer II

Denver, CO · On-site +1

$106K - $145K/yr

This position will have the ability to work a hybrid schedule of in-office and remote. As part of ... reviewing junior staff's work for technical accuracy and providing technical guidance to other ...

Google Cloud Engineer

Colorado Springs, CO · Remote

$55 - $73.50/hr

... junior team members * Experience designing and implementing scalable, reliable, and secure cloud ... Strong understanding of DevOps practices and experience implementing CI/CD in cloud environments

LITHC Tax

Denver, CO · On-site +1

$80K - $150K/yr

Louis, Chicago, Nashville, Kansas City, or Denver Remote option available for CPAs A nationally ... by junior staff (Senior/Manager level) * Communicate directly with clients, developers, and ...

Senior Software Engineer - AI Automation & Enterprise Integration Remote - US-Based Only No visa ... Mentor junior and mid-level engineers. Required Qualifications * Hands-on Claude Code experience ...

Showing results 41-60

Junior Django Developer Remote information

What is a junior Django developer remote?

A Junior Django Developer Remote job involves working with the Django framework to build web applications while collaborating with a development team remotely. Responsibilities typically include writing clean and efficient code, debugging issues, and implementing new features under the guidance of senior developers. This role requires proficiency in Python, Django, and basic front-end technologies, along with version control systems like Git. Remote positions allow developers to work from anywhere while using communication tools like Slack and project management platforms. It's an entry-level role that helps developers gain experience in web development and expand their skills.

What are the key skills and qualifications needed to thrive as a junior Django developer remote?

To thrive as a Junior Django Developer Remote, you need a solid grasp of Python programming, Django framework basics, and familiarity with web development fundamentals, typically demonstrated through a relevant degree or hands-on project experience. Experience with Git, command-line tools, RESTful APIs, and relational databases is commonly expected, while certifications in Python or Django can be advantageous. Strong communication skills, the ability to work independently, effective time management, and a proactive attitude are valuable soft skills for remote collaboration. These qualities are crucial to ensure productive teamwork, deliver quality code, and meet deadlines while working in a distributed environment.

What does a junior Django developer remote do?

A typical workday for a remote Junior Django Developer often involves collaborating with team members via online platforms, participating in stand-up meetings, and working on assigned Django projects or fixing bugs. Tasks may include developing new features, writing unit tests, updating documentation, and reviewing pull requests. You’ll frequently interact with front-end developers, designers, and project managers to ensure the finished product meets project requirements. Since the position is remote, self-motivation and effective communication are essential to staying productive and connected with the team.

What cities in Colorado are hiring for Junior Django Developer Remote jobs? Cities in Colorado with the most Junior Django Developer Remote job openings:
Infographic showing various Junior Django Developer Remote job openings in Colorado as of August 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 100% Remote job distribution.

Senior MLOps Platform Engineer {S}

Careers - Stratagem - Make a Lasting Impact

Colorado Springs, CO • On-site, Remote

$90K - $123K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 days ago


Job description

ARKA Group L.P. (“ARKA”) is an advanced technologies company serving the U.S. military, intelligence community, and commercial space industry delivering next-generation solutions to support the national security space enterprise. Built on more than six decades of excellence, ARKA brings modern approaches and a culture of innovation to the challenges of today.

Join the ARKA team to learn how Beyond Begins Here. Discover your next career opportunity now!

Position Overview:

Our AI Center of Excellence builds the next generation of Agentic AI products that autonomously reason, plan, and act on behalf of our customers. To deliver these capabilities at scale, we need a platform engineering group that provides a robust, secure, and highly available MLOps foundation across both on premise clusters and AWS. The team works closely with data scientists, product engineers, and SREs to turn experimental models into reliable services that power mission critical applications. 

In support of work/life balance, many positions are available for a flexible schedule within the pay period.  Ask us about the opportunity for flex scheduling if that’s of interest to you. 

Why join us 

  • Shape the end-to-end lifecycle of cutting-edge AI services—from model training to production inference. 
  • Influence architecture decisions for a hybrid cloud environment that will serve thousands of concurrent agents. 
  • Collaborate with world-class researchers and product teams while enjoying a strong engineering culture focused on automation, observability, and reliability. 

      Responsibilities: 

      • Design, implement, and operate a unified MLOps platform that supports both on-premise Kubernetes clusters and AWS. The platform should enable rapid onboarding of new Agentic AI services and provide consistent governance across environments. 
      • Develop reusable CI/CD pipelines (GitLab CI) for model packaging, containerization, automated testing, canary releases, and rollbacks. 
      • Build observability, monitoring, and alerting stacks (Prometheus, Grafana, OpenTelemetry, CloudWatch) to track inference latency, throughput, resource utilization, and data drift for real time and batch workloads. 
      • Create self-service tooling (CLI, SDKs, UI dashboards) that allows data science and product teams to register models, define inference endpoints, and manage versioning without deep DevOps involvement. 
      • Architect and maintain data pipelines that feed training data, model artifacts, and inference logs into a governed data lake (S3, on prem object store). 
      • Collaborate with research and product engineers to translate experimental Agentic AI prototypes into production grade services, ensuring reproducibility, security, and compliance. 
      • Drive performance optimization for inference workloads (GPU/CPU scaling, model quantization, batching strategies) 
      • Champion best practices in security (IAM, network policies, secret management), cost efficiency, and disaster recovery for the hybrid infrastructure. 
      • Mentor junior engineers and contribute to internal knowledge bases, upskilling, and review processes. 

      Required Qualifications:

      • BS in computer science or related engineering field
      • 5+years of experience building and operating production grade software infrastructure, preferably in a hybrid onprem / cloud environment
      • Deep expertise with Kubernetes (cluster provisioning, Helm, operators, custom resources) and container runtimes (Docker, OCI)
      • Hands on experience with AWS services (EKS, SageMaker, S3, IAM, CloudWatch, Step Functions) and the ability to bridge onprem resources with AWS via VPN/Direct Connect
      • Strong software engineering skills in Python and at least one compiled language (Go, Rust, or Java) for building platform components and SDKs
      • Proficiency with CI/CD and GitOps tooling (Argo CD, Flux, Gitlab, GitHub Actions, or similar)
      • Solid understanding of distributed systems (consensus, fault tolerance, load balancing) and experience tuning high throughput, low latency inference pipelines
      • Experience with data engineering frameworks (Airflow, Prefect, Kafka, Spark, Flink) and building robust, versioned data pipelines
      • Familiarity with observability stacks (Prometheus, Grafana, OpenTelemetry, ELK) and the ability to define meaningful SLIs/SLOs for AI services
      • Track record of collaborating with research or product teams to move prototypes to production, translating experimental code into maintainable services
      • Strong problem solving mindset, excellent written and verbal communication, and a passion for building scalable AI platforms

      Preferred Qualifications:

      • Working knowledge of Scrum and Agile software development methodology

      Location: Remote

      This is a remote position that will primarily be supporting our Aurora, CO and King of Prussia, PA locations.  Due to contract requirements, the job has to be performed from a remote location in the United States.

      What We Offer:

      • Comprehensive medical/vision/dental insurance packages
      • Company contributions to qualified HSA accounts
      • 401k retirement plan with industry leading company contributions
      • 3 weeks of vacation accrual per year plus time off for sick leave and unscheduled life events
      • 13 paid holidays
      • Upfront tuition assistance for approved degree programs
      • Annual bonus program based on company and employee performance
      • Company paid life insurance, AD&D, Short-Term and Long-Term disability insurance
      • 4 weeks paid Parental Leave
      • Employee assistance program (EAP)

      EHS/Environmental Requirements:

      This job operates alongside a professional office environment. While performing the duties of this job, the employee routinely is required to use hands to keyboard, communicate, listen to, and interpret instructions and remain stationary for extended periods of the time. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the job.

      Applicants are invited to apply for a reasonable accommodation to perform the essential duties of the job. To apply, send a request to staffing@arka.org or contact 203-797-5000 and press 2 for Human Resources.

      ITC & Security Clearance Requirements:

      This position requires the incumbent to access export-controlled information. If you are not a U.S. Person, any offer is contingent upon the Company's ability to obtain a special license granting you access. This could take several months. You will not be able to begin employment until such license is obtained.

      Visa Restrictions:

      No visa sponsorship is available for this position.

      Pre-employment Screenings:

      Employment with any ARKA companies in the U.S. is contingent upon satisfactory completion of several pre-employment requirements to include a credit check, background check, and drug screen.