Cloud DevOps Engineer / Site Reliability Engineer

MDaudit is hiring a Cloud DevOps Engineer to own how software is released across its multi-tenant, HIPAA-regulated platform. The role builds CI/CD automation, coordinates deployments and database changes, monitors observability, and improves release reliability in collaboration with engineering and other teams.

Responsibilities:

• Own deployments end-to-end across UAT, pre-production, and production environments, coordinating release readiness with development teams and securing final sign-off from engineering leadership
• Build, maintain, and continuously improve CI/CD pipelines in Azure DevOps to streamline how teams ship to AWS
• Apply deployment practices (e.g., rolling releases) that minimize customer impact
• Manage database deployments as part of every release — propagating schema and data changes consistently across all customer databases
• Partner with cross-functional teams to understand their release needs and reduce friction in the path to production
• Monitor API observability dashboards (CloudWatch, SigNoz) and triage issues to the appropriate development team as needed
• Drive the evolution from manual deployment processes to automated, gated pipelines — including rollback mechanisms and pre/post-deployment validation to protect against release failures
• Make targeted Infrastructure as Code changes (Terraform) when needed to support deployment and release workflows
• Contribute to SLI/SLO definition and participate in post-incident reviews and root-cause analysis
• Partner with the Security and Infrastructure team on provisioning needs and contribute to infrastructure changes when required to support application deployments
• Engineering: partner day-to-day with development teams on release planning, deployment readiness, and post-release validation
• Security: coordinate on change management, access controls, secrets handling, and vulnerability remediation
• IT / Infrastructure: work with the internal Infra team on AWS provisioning needs, networking, and platform-level dependencies
• Offshore vendor partners: coordinate hand-offs, deployment windows, and shared triage workflows across time zones
• Data & Analytics: coordinate deployment scheduling to avoid conflicts with existing data pipelines, ETL jobs, and scheduled processes
• Author runbooks, deployment checklists, and operational documentation so release knowledge is shared and repeatable

Requirements:

• Applicants must be authorized to work in the United States on a full-time basis without current or future need for employer sponsorship
• 3–5 years of hands-on experience in DevOps, Cloud Engineering, or Site Reliability Engineering
• Strong working knowledge of the AWS ecosystem (compute, networking, IAM, storage, monitoring)
• Practical experience building and maintaining CI/CD pipelines
• Scripting proficiency in at least one of: PowerShell, Bash, or Python
• Comfort operating in a .NET Core application environment
• Working knowledge of Microsoft SQL Server, including running schema/data migrations and propagating database changes across multiple customer databases
• Demonstrated experience modernizing manual or legacy deployment processes into automated CI/CD pipelines across multiple environments (dev, UAT, pre-production, production)
• Strong analytical and problem-solving skills, with the ability to debug across applications, pipelines, and cloud infrastructure
• Excellent written and verbal communication; able to translate technical concepts for non-technical stakeholders and coordinate with engineering, product, security, and vendor partners
• Hands-on ownership mindset — comfortable being the single point of accountability for releases and driving issues to resolution. This role is for engineers who thrive in the trenches, not at the whiteboard
• Azure DevOps experience is a strong plus
• Experience with Infrastructure as Code (Terraform preferred)
• Prior experience in a regulated environment (HIPAA, HITRUST, SOC 2)
• AWS certifications (Solutions Architect, DevOps Engineer, SysOps)
• Experience with observability tooling such as SigNoz, Grafana, Datadog, or New Relic
• Exposure to containerized workloads (ECS, EKS, Docker)
• Working knowledge of Linux administration and command-line tooling
• Familiarity with AWS Bedrock or AI/LLM integration patterns
• Familiarity with database deployment and migration tooling such as Liquibase, Redgate, Flyway, or DbUp