--- title: 'Mid Azure DevOps Engineer at CodeRoad' canonical: 'https://feeny.ai/job/mid-azure-devops-engineer-coderoad-latin-america-k1es9kefh6fs' type: 'job' last_seen: '2026-10-15' --- # Mid Azure DevOps Engineer at CodeRoad - **Company:** CodeRoad - **Location:** Latin America - **Work type:** remote - **Posted:** 2026-10-07 - **Last confirmed live:** 2026-10-15 - **Apply:** https://job-boards.greenhouse.io/coderoad/jobs/4436919009 ## Job description Mid Level DevOps Engineer (Azure) Location: Latin America | 100% Remote ## About CodeRoad CodeRoad provides end-to-end software development services, helping businesses scale with ideal infrastructure solutions. From staff augmentation to dedicated IT teams and general software engineering, our nearshore technology services empower businesses to thrive in an ever-evolving digital landscape. ## About the Role CodeRoad is looking for an Intermediate DevOps Engineer to serve as the technical backbone for our Azure infrastructure, powering a cutting-edge AI and data platform delivered for a key client. You will own the environments hosting the platform's core data stores, AI services, and user-facing applications, collaborating closely with AI, data, and backend engineers to build a resilient and secure cloud ecosystem. This role is critical to transforming our cloud operations into a foundation for LLM-based and agentic application architectures. By embedding security and best practices into the infrastructure from day one, you will directly drive the scalable and safe adoption of advanced AI capabilities for high-impact business applications. ## Key Responsibilities - Provision and manage end-to-end Azure infrastructure as code using Terraform or Bicep across development, staging, and production environments. - Build and maintain robust CI/CD pipelines via Azure DevOps or GitHub Actions, while authoring comprehensive operational runbooks for the team. - Optimize the data layer by provisioning, backing up, and securing relational databases, object storage, and vector databases with fine-grained access control. - Lead security and secrets management by leveraging Azure Key Vault, enforce least-privilege Azure RBAC with managed identities, and establish secure API key lifecycles for LLM integration. - Deploy and containerize backend Python services, custom web dashboards, and AI tooling for orchestration, observability, prompt evaluation, and agentic workflows. - Collaborate with cross-functional PODs to enforce network isolation via private endpoints, virtual networks, and automated CI/CD security scanning, backed by Microsoft Defender for Cloud and Azure Monitor. ## Requirements - 2–4 years of total DevOps or cloud engineering experience, with at least 2+ years specifically focused on Azure. - Tech Stack Mastery: Hands-on experience with Terraform or Bicep, container hosting (Azure Container Apps, AKS, or App Service), and scripting proficiency in Python or Bash. - Data & Cloud Foundations: Practical working knowledge of Azure SQL, Blob Storage, Azure Key Vault, and CI/CD pipelines (Azure DevOps or GitHub Actions). - Security Mindset: Hands-on experience with network isolation (VNets, Private Endpoints), data encryption at rest and in transit, and vulnerability/policy scanning in CI/CD pipelines. - Soft Skills: Strong ownership mindset, proactive problem-solving skills, and a collaborative team attitude in a fast-paced environment. - Language Proficiency: Advanced English (clear written and spoken communication for working with distributed, nearshore teams). ## Nice to Have - Experience with vector databases (e.g., Azure AI Search, pgvector, or Qdrant) and hosting Python services. - Familiarity with LLM and agentic application tooling such as LangGraph, Langfuse, Promptfoo, or deploying MCP servers. - Exposure to modern data integration tooling like Microsoft Fabric, Azure Data Factory, or Databricks. - Background in configuring AI-specific security controls, prompt logging, and token usage telemetry. ## What You’ll Love - 100% Remote work flexibility - Paid Holidays off - Generous Paid Time Off (PTO) - Health insurance assistance - Competitive compensation in USD - Continuous learning and career growth opportunities ## About CodeRoad ## Company Overview - **One-liner**: CodeRoad is a next-generation technology execution partner that delivers nearshore software development, AI engineering, and digital transformation services through its Velocity-as-a-Service™ model. - **Entity Type**: Private (bootstrapped / internally funded – no external funding rounds publicly disclosed) - **Headquarters**: Not publicly disclosed; delivery hubs across 14 countries in Latin America with US-based leadership team. First delivery center opened in La Paz, Bolivia (2008). - **Founded**: 2002 - **Founders**: Not publicly named; leadership team includes Dennis Odishoo (CEO & Partner), Todd Workman (COO & VP of Sales), Marcelo Schenone (VP of Delivery & Engineering), and Jess Young (Director of People & Culture). ## Core Business - **Primary industries**: Software engineering services, AI engineering, digital transformation consulting, nearshore outsourcing. - **Target customers**: Enterprise and mid-market companies (B2B) across luxury retail, financial services, automotive, and enterprise software. - **Mission**: “Empower organizations to accelerate technology delivery through AI-ready systems and end-to-end software solutions that foster innovation, seamless integration, and measurable business impact.” ## Products & Services - **Velocity-as-a-Service (VaaS)**: Outcome-based delivery model combining elite nearshore engineers, AI-powered development systems, and senior-led delivery pods. Measures success through execution performance and business value, not just staffing. - **AI Engineering**: AI readiness assessments, agentic workflows, production deployment of AI/ML models, and AI-native delivery – built with secure-by-design governance (SOC2, HIPAA, PCI-DSS). - **Nearshore Software Development**: Senior-led pods operating in U.S. time zones, providing full-stack, backend, frontend, mobile, DevOps, data engineering, and QA automation. - **Digital Transformation**: Modernization of legacy systems, platform migration, and strategic execution of large-scale transformation programs with embedded architects and product leaders. ## Market Standing - **Valuation / Funding**: Not publicly available (no disclosed valuation or funding rounds). - **Key Metrics**: - Client satisfaction rating: 4.8/5 - Client retention: over 80% of clients stay beyond 5 years - 20+ years of SDLC execution experience - Delivery footprint across 14 Latin American countries - **Notable Clients / Partners**: Historical clients include GM, Ford, and Whirlpool (from early supply chain platform). Current clients span luxury retail, financial services, automotive, and enterprise software (specific names not disclosed). - **Growth Signals**: - 36 active job openings as of July 2026 (Senior AI Engineer, MLOps, Delivery Director, etc.) - Expanding AI engineering and agentic workflow capabilities - Nearshore 3.0 model embedding talent, product leadership, and delivery accountability ## Competitive Advantages - **Velocity-as-a-Service™ model** – moves from hiring to active production in weeks, not months, with outcome-based accountability. - **Nearshore advantage** – LATAM engineers aligned to U.S. business hours, same time zone, cultural alignment, and cost efficiency. - **Senior-led delivery pods** – experienced engineering leaders co-own delivery outcomes, not just staff augmentation. - **Secure-by-design** – SOC2, HIPAA, and PCI-DSS built into architecture from day one, eliminating costly compliance retrofits. - **Long-term partnerships** – over 80% retention for 5+ years demonstrates trust and consistent value delivery. - **AI-powered SDLC** – agentic AI embedded into workflows, multi-agent systems for automation, and real-time performance dashboards. ## Strategic Focus - Scaling the Velocity-as-a-Service model as the primary go-to-market offering. - Deepening AI engineering capabilities (agentic workflows, production AI deployments, ML pipelines). - Expanding nearshore delivery capacity across more LATAM countries while maintaining senior talent density. - Helping enterprise clients move from AI experimentation to measurable business outcomes. - Continuing to differentiate from traditional staff augmentation by embedding product leadership and delivery accountability. ## Why Work Here - **Remote-first work model** – engineers can work from home across Latin America. - **Competitive compensation**: Salaries paid in USD, plus health insurance assistance, paid vacation/holidays. - **Career growth & learning**: Quarterly bootcamps, tech summits, mentorship programs, training and educational reimbursement. - **High-impact projects**: Work on complex, real-world challenges for global industry leaders, building AI systems and modern platforms. - **Culture**: “People-first” environment with a diverse global team, emphasis on collaboration and continuous innovation. - **Senior talent density**: Opportunity to work alongside experienced engineering leaders and product managers. - **Work schedule**: Aligned to U.S. business hours, enabling close collaboration with North American teams. ## Sources 1. [coderoad.com](https://coderoad.com/) 2. [coderoad.com/about-us](https://coderoad.com/about-us) 3. [coderoad.com/careers](https://coderoad.com/careers) 4. [job-boards.greenhouse.io/coderoad](http://job-boards.greenhouse.io/coderoad) 5. [linkedin.com/company/coderoad-inc](https://www.linkedin.com/company/coderoad-inc) ## Other roles at CodeRoad - [Senior AI Product Owner](https://feeny.ai/job/senior-ai-product-owner-coderoad-latin-america-1t6nahefztan) — Latin America - [Lead Agentic AI Engineer](https://feeny.ai/job/lead-agentic-ai-engineer-coderoad-united-states-xsvbcx1z5z1d) — United States - [Senior Blazor / .NET Developer](https://feeny.ai/job/senior-blazor-net-developer-coderoad-latin-america-j9xd61rwjb8t) — Latin America - [Lead Agentic AI Engineer](https://feeny.ai/job/lead-agentic-ai-engineer-coderoad-latin-america-c60n0aqprnjw) — Latin America - [Senior .Net/Blazor Developer](https://feeny.ai/job/senior-net-blazor-developer-coderoad-latin-america-t0hw8gt9jg2k) — Latin America - [Senior Data Engineer](https://feeny.ai/job/senior-data-engineer-coderoad-latin-america-wmhr82dba3bp) — Latin America - [Agentic AI Engineer](https://feeny.ai/job/agentic-ai-engineer-coderoad-latin-america-5jkpmc3jr97e) — Latin America - [Agentic AI Engineer](https://feeny.ai/job/agentic-ai-engineer-coderoad-latin-america-j7yzbref9x03) — Latin America - [Senior .NET Engineer](https://feeny.ai/job/senior-net-engineer-coderoad-latin-america-fszypd2wpnn4) — Latin America - [Senior Agentic AI Engineer](https://feeny.ai/job/senior-agentic-ai-engineer-coderoad-latin-america-70cdthm40395) — Latin America