Devops Engineer

Job Overview We are seeking an experienced DevOps Engineer to support and evolve a growing, AI-enabled SaaS platform within a telecommunications-focused organization. This role plays a critical part in advancing a DevOps-first culture, where engineering teams own the full software development lifecycle—from development through deployment and production support. You will join a collaborative, close-knit engineering environment consisting of 7–8 product-focused teams, each responsible for delivering high-quality, scalable solutions. As part of an organization that is actively transitioning from traditional development practices to continuous delivery, you will be instrumental in standardizing automation, enhancing cloud infrastructure, and driving modern DevOps practices across teams. Key Project Initiatives & Impact Drive the transformation toward continuous release and DevOps maturity across multiple engineering teams Scale an AI-enabled SaaS platform, ensuring reliable, efficient, and automated deployments Redesign and improve regression testing automation tools to support faster, higher-quality releases Partner with development teams to streamline deployment strategies and improve time-to-market Establish best practices for CI/CD pipelines, enabling consistent, repeatable delivery processes Support adoption of AI technologies, including agent-based frameworks and AI Foundry capabilities Key Responsibilities Design, implement, and maintain CI/CD pipelines using Azure DevOps Build and manage cloud infrastructure in Azure, ensuring scalability and resilience Develop automation scripts using PowerShell, Bash, or Python Collaborate with engineering teams to improve deployment processes and release cycles Provide guidance and leadership on DevOps best practices and culture adoption Support automation initiatives, including testing and infrastructure provisioning Required Skills & Experience Strong experience with cloud computing, specifically Microsoft Azure Proven ability to build and manage CI/CD pipelines (Azure DevOps preferred) Proficiency in scripting (PowerShell, Bash, Python) Experience supporting the full software development lifecycle (SDLC) Hands‑on experience with automation and deployment strategies Ability to collaborate effectively across engineering teams and influence best practices Preferred Qualifications Exposure to AI/ML tools or platforms, including AI Foundry or agent-based frameworks Background in telecommunications or SaaS environments Experience working in DevOps transformation initiatives Work Environment On‑site, collaborative team environment with strong cross-team engagement Standard work schedule: Monday–Friday, 8:00 AM – 5:00 PM Teams range from 4–9 engineers, with a strong emphasis on ownership and accountability Culture prioritizes mentorship, growth, and long‑term employee development PLEASE NOTE: This role is not eligible for visa sponsorship or CPT/OPT support now or in the future. Why Join This is an opportunity to make a meaningful impact within an organization actively evolving its engineering practices. You’ll help shape DevOps strategy, influence platform scalability, and contribute to a collaborative culture that values innovation, ownership, and continuous improvement. Job Type & Location This is a Permanent position based out of Mitchell, SD. Pay And Benefits The pay range for this position is $70,000.00 – $130,000.00/yr. Relocation package can be discussed if someone would like to relocate to Mitchell, SD. Generous Paid time off 10 paid holidays 401(k) matching Company paid family Blue Cross Blue Shield health insurance plan Company contributions to an HSA (Health Savings Account) plan Company paid employee Dental Insurance Company paid employee Vision Insurance Company paid Life Insurance Company paid Short‑ & Long‑Term Disability Insurance Workplace Type This is a fully onsite position in Mitchell, SD. Application Deadline This position is anticipated to close on Jul 22, 2026. Equal Opportunity Employer The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records. Massachusetts Lie Detector It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Use of Artificial Intelligence (AI) We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools. #J-18808-Ljbffr