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Full-Stack .NET Engineer — Legacy & Solutions; C#, Angular

Job in Minneapolis, Hennepin County, Minnesota, 55400, USA
Listing for: TechDigital Group
Full Time position
Listed on 2026-10-23
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, Systems Engineer, SRE/Site Reliability
Salary/Wage Range or Industry Benchmark: 70000 - 110000 USD Yearly USD 70000.00 110000.00 YEAR
Job Description & How to Apply Below

Top

Skills:

Azure certifications: AZ-400 (Dev Ops Engineer Expert), AZ-104
Kubernetes certifications: CKA / CKAD

Experience with IaC tools:
Terraform, Bicep, ARM templates
Exposure to Dev Sec Ops  tools (Sonar Qube, Snyk, etc.)

Experience with service mesh (Istio) or advanced Kubernetes concepts
Multi-cloud exposure (AWS/GCP)

Job Description / Responsibilities

Job Summary
We are looking for a highly skilled Senior Dev Ops Engineer with 5–8 years of experience in building and managing Azure-based CI/CD pipelines, containerization using Docker, and Kubernetes orchestration. The candidate will play a key role in designing, implementing, and optimizing scalable Dev Ops solutions, ensuring high availability, reliability, and automation maturity across environments.

Key Responsibilities

Design and implement end-to-end CI/CD pipelines in Azure Dev Ops using YAML.
Develop reusable, modular, and scalable pipeline templates and frameworks.
Lead the automation of build, release, and deployment processes across environments (Dev, QA, Prod).
Containerize applications using Docker and manage image lifecycle and optimization.
Deploy and manage workloads on Kubernetes clusters (AKS preferred).
Define and implement deployment strategies (Blue-Green, Canary, Rolling deployments).
Collaborate with development, QA, and architecture teams to integrate Dev Ops best practices.
Provide technical leadership and mentorship to junior engineers.
Implement monitoring, logging, and alerting using tools like Azure Monitor, Prometheus, Grafana.
Ensure security best practices (Dev Sec Ops ) in pipelines and infrastructure.
Troubleshoot complex pipeline failures, cluster issues, and performance bottlenecks.
Optimize cost, performance, and scalability of cloud infrastructure.
Maintain documentation, standards, and governance for CI/CD and Dev Ops practices.

Required Skills & Experience

5–8 years of experience in Dev Ops/Cloud engineering roles.
Strong hands-on experience with Azure Dev Ops CI/CD pipelines.
Expertise in writing YAML-based pipelines and templates.
Solid experience in Docker containerization and image management.
Strong working knowledge of Kubernetes (AKS or other managed clusters).

Experience with Helm charts and Kubernetes deployments.
Proficiency in Git-based version control and branching strategies.
Hands-on experience with scripting (Power Shell, Bash, or Python).
Strong understanding of CI/CD concepts, automation, and release management.

Experience with cloud platforms (Azure preferred).
Good understanding of networking, security, and cloud architecture basics.

Preferred Qualifications

Azure certifications: AZ-400 (Dev Ops Engineer Expert), AZ-104
Kubernetes certifications: CKA / CKAD

Experience with IaC tools:
Terraform, Bicep, ARM templates
Exposure to Dev Sec Ops  tools (Sonar Qube, Snyk, etc.)

Experience with service mesh (Istio) or advanced Kubernetes concepts
Multi-cloud exposure (AWS/GCP)

Soft Skills

Strong problem-solving and analytical skills
Excellent communication and cross-team collaboration
Ability to drive initiatives independently
Mentorship and leadership mindset
Adaptability in fast-paced environments

Key Expectations

Own CI/CD pipeline architecture and improvements
Drive automation and standardization across projects
Contribute to design decisions and Dev Ops strategy
Ensure high-quality, secure, and scalable deployments

5–8 years of experience in Dev Ops/Cloud engineering roles.
Strong hands-on experience with Azure Dev Ops CI/CD pipelines.
Expertise in writing YAML-based pipelines and templates.
Solid experience in Docker containerization and image management.
Strong working knowledge of Kubernetes (AKS or other managed clusters

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