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Junior Reliability Engineer Jobs in Colorado (NOW HIRING)

Adidev Technologies Inc

DevOps Engineer

Denver, CO · On-site

$53.25 - $73/hr

M entor junior engineers and contribute to architectural decisions. * L ead incident response and perform root cause analysis. Required Skills & Experience: * 3 -6 years of DevOps or SRE experience.

Adidev Technologies Inc

DevOps Engineer

Denver, CO · On-site

$53.25 - $73/hr

... junior engineers and contribute to architectural decisions. - Lead incident response and perform root cause analysis. Required Skills & Experience: - 3-6 years of DevOps or SRE experience. - Strong ...

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All JobsReliability Engineer JobsJunior Reliability Engineer JobsJunior Reliability Engineer Jobs in Colorado

Junior Reliability Engineer information

See Colorado salary details

$35.2K

$75.5K

$115.1K

How much do junior reliability engineer jobs pay per year?

As of Aug 31, 2026, the average yearly pay for junior reliability engineer in Colorado is $75,498.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,000.00 and $84,100.00 per year, depending on experience, location, and employer.

What does a junior reliability engineer do?

A Junior Reliability Engineer assists in evaluating the reliability and performance of products, systems, or processes to ensure they meet quality and safety standards. Their responsibilities often include collecting and analyzing data, identifying potential failure points, and supporting the development of maintenance strategies. They work under the guidance of senior engineers to improve equipment reliability and reduce downtime. This role typically involves collaboration with other engineering and operations teams to implement solutions and monitor improvements.

What are the key skills and qualifications needed to thrive as a junior reliability engineer?

To thrive as a Junior Reliability Engineer, you need a solid understanding of engineering principles, data analysis, and reliability concepts, often supported by a bachelor's degree in engineering or a related field. Familiarity with reliability modeling software, failure mode and effects analysis (FMEA) tools, and data collection systems is typically important. Strong problem-solving skills, attention to detail, and effective teamwork make someone stand out in this position. These skills and qualities are vital for accurately identifying potential failures, improving system performance, and ensuring equipment reliability in various industries.

What are some common challenges faced by junior reliability engineers in their first year, and how can they overcome them?

Junior Reliability Engineers often encounter challenges such as understanding complex equipment systems, learning to use reliability analysis tools, and adapting to fast-paced problem-solving environments. It's important to proactively seek mentorship from senior engineers, participate in hands-on training, and familiarize yourself with key reliability metrics and predictive maintenance techniques. Collaborating closely with maintenance teams and other engineering departments will also help you gain practical insights and contribute effectively to reliability improvement initiatives.

What is the difference between Junior Reliability Engineer vs Reliability Technician?

AspectJunior Reliability EngineerReliability Technician
CredentialsTypically requires a degree in engineering or related fieldUsually has technical certifications or vocational training
Work EnvironmentInvolves analysis, planning, and collaboration with engineering teamsHands-on maintenance and troubleshooting of equipment
Employer & Industry UsageUsed in manufacturing, energy, and industrial sectors for proactive reliability

The Junior Reliability Engineer focuses on analyzing data, developing reliability strategies, and working with engineering teams to improve system performance. In contrast, the Reliability Technician performs direct maintenance and repairs. Both roles support equipment uptime but differ in their responsibilities and required qualifications.

Are junior reliability engineers in demand?

Junior reliability engineers are in demand as companies seek to improve system uptime and reduce maintenance costs. The role often requires knowledge of reliability tools, data analysis, and industry standards, making it a growing field with opportunities across various industries such as manufacturing, energy, and technology.

What is a junior reliability engineer job description?

A junior reliability engineer assists in analyzing and improving the reliability and performance of equipment and systems. They typically perform data collection, basic testing, and troubleshooting, often using tools like failure mode and effects analysis (FMEA) and reliability software. This role usually requires a foundational understanding of engineering principles and may involve working under supervision to support maintenance and reliability initiatives.

What are the most commonly searched types of Reliability Engineer jobs in Colorado?

The most popular types of Reliability Engineer jobs in Colorado are:

What are popular job titles related to Junior Reliability Engineer jobs in Colorado?

For Junior Reliability Engineer jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Junior Reliability Engineer jobs in Colorado look for?

The top searched job categories for Junior Reliability Engineer jobs in Colorado are:

What cities in Colorado are hiring for Junior Reliability Engineer jobs?

Cities in Colorado with the most Junior Reliability Engineer job openings:

Junior Reliability Engineer jobs near you
Infographic showing various Junior Reliability Engineer job openings in Colorado as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $75,498 per year, or $36.3 per hour.

Platform Engineer / SRE (Site Reliability Engineer) Cloud & AI Automation _ Colorado(Onsite)

StarTechs Inc.

Fort Collins, CO • On-site

$56.50 - $75/hr

Other

Posted 6 days ago

Job description

Requirement details:

Role: Platform Engineer / SRE (Site Reliability Engineer) Cloud & AI Automation

Location- Colorado(Onsite)

Duration: 12+ Months

Job Description:

We are seeking a highly skilled and proactive **Senior Platform Engineer / SRE** to lead the design, automation, and operational excellence of cloud platforms and AI-driven systems.

The ideal candidate will be a seasoned engineer with hands-on experience in **AWS, Terraform, Kubernetes, CI/CD, Infrastructure as Code (IaC), and Observability**, who thrives in fast-paced, high-impact environments.

You will play a pivotal role in building and maintaining scalable, secure, and self-healing platforms that support enterprise-grade applications and AI-powered workflows.

This role sits at the intersection of **platform engineering, reliability, security, and AI automation**, where you ll drive innovation through agentic AI, infrastructure automation, and cloud cost optimization.

Key Responsibilities:

- Design, implement, and manage **cloud-native platforms** on AWS using **Terraform, CloudFormation, and IaC best practices**.

- Lead **infrastructure automation** initiatives to enable zero-touch provisioning, self-service environments, and CI/CD pipeline integration.

- Architect and operate **highly available, scalable, and secure systems** using **Kubernetes (EKS/ECS), Docker, and microservices**.

- Implement and maintain **robust observability stacks** using **Grafana, Datadog, Prometheus, ELK, and OpenTelemetry** for real-time monitoring, alerting, and performance tuning.

- Own **incident management lifecycle**: lead on-call rotations, conduct **RCA (Root Cause Analysis)**, and implement preventive measures to improve system reliability.

- Drive **cloud cost optimization** strategies across multi-cloud environments (AWS, Azure, Google Cloud Platform) through right-sizing, auto-scaling, tagging policies, and usage analytics.

- Enforce **security compliance standards** including **PCI, PII, HIPAA, GDPR, ISO 27001/27701**, and SOC 2, ensuring IAM policies, encryption, and audit readiness.

- Integrate **Okta, AWS IAM, and identity federation** for secure access control and role-based access management.

- Spearhead **AI automation and agentic AI** use cases for infrastructure operations automating deployments, incident response, policy enforcement, and resource provisioning.

- Collaborate with DevOps, SRE, Security, and Product teams to deliver **platform capabilities** that accelerate time-to-market and improve developer experience.

- Mentor junior engineers and contribute to **engineering best practices, documentation, and knowledge sharing**.

Required Qualifications:

Bachelor s or Master s degree in Computer Science, Engineering, or related field.

6+ years of hands-on experience in **DevOps, SRE, or Platform Engineering** roles.

Expertise in **AWS cloud services** (EC2, S3, Lambda, RDS, VPC, IAM, CloudFront, etc.) and **Terraform/CloudFormation** for infrastructure provisioning.

- Proven experience with **Kubernetes (EKS, AKS, GKE)**, **Docker**, and container orchestration.

- Strong proficiency in **CI/CD pipelines** using Jenkins, GitHub Actions, GitLab CI, or similar tools.

- Deep understanding of **observability tools**: Grafana, Datadog, Prometheus, Kibana, and logging frameworks.

- Experience with **incident management, RCA, and post-mortem processes** in production environments.

- Solid knowledge of **security compliance frameworks**: PCI-DSS, HIPAA, GDPR, CCPA, ISO 27001/27701.

- Experience integrating **identity providers (Okta, AWS IAM)** and managing RBAC across cloud environments.

- Hands-on experience with **Python** for automation, scripting, and tooling.

- Familiarity with **Agentic AI, AI automation, and intelligent operations (AIOps)** for infrastructure and platform management.

- Strong communication, collaboration, and leadership skills.

Preferred Qualifications:

- Experience with **multi-cloud environments** (AWS, Azure, Google Cloud Platform).

- Knowledge of **serverless architectures** (AWS Lambda, Azure Functions).

- Experience with **data platforms** (Snowflake, Redshift, BigQuery) and ETL pipelines (Airflow, Glue).

- Exposure to **AI/ML platforms** and **GenAI integration** in DevOps workflows.

- Certification in AWS, Google Cloud, or Kubernetes (e.g., AWS Certified DevOps Engineer, CKAD, CKA).

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