Sr. DevOps Engineer
- Market p25–p75
- $187k–$220k
- Opened · 30d
- +7
- Closed · 30d
- −1
- Opened · 7d
- +895% of open
- All devops / sre / infra
- 7,040open
About Us
At Alteva RCM, we're dedicated to helping healthcare providers thrive through expert revenue cycle management, strategic insight, and innovative solutions. We're always looking for passionate, driven professionals who want to make a meaningful impact, grow their careers, and be part of a collaborative team committed to excellence.
Senior DevOps Engineer
Alteva RCM | Technology | Full-Time | Queens, NY
About Alteva RCM
Alteva RCM is a healthcare revenue cycle management company that partners with medical practices and surgical centers nationwide. We help providers operate more efficiently, strengthen revenue cycle operations, and navigate the complexity of today's healthcare environment.
We serve a wide range of specialties and operate at scale, with technology playing a central role in how we support clients and internal operations.
About the Role
This is Alteva's first dedicated DevOps hire. Today, infrastructure is run by a managed service provider, and DevOps work is handled piecemeal across IT, vendors and developers. The engineering team is growing quickly, and we need one person who owns how code gets from a developer's machine to production, safely and repeatably.
You will own our environments, deployment pipelines and infrastructure standards, and serve as the technical authority directing our managed service provider on production. You will set and hold the balance between developer productivity and security in a HIPAA-regulated environment as the team scales.
This is a hands-on role. You will build things yourself, not only write policy.
What You'll Own
Environments & Infrastructure
- Own development, test and staging environments end to end: provisioning, configuration, access and cost
- Define the target architecture and standards for production, and direct the managed service provider's work against them
- Manage infrastructure as code across Azure, plus a smaller AWS footprint
- Isolate environments so production data stays in production, and provide realistic masked or synthetic data for development and testing
CI/CD & Release
- Build and maintain CI/CD pipelines for .NET applications and supporting services
- Own release mechanics: deployment automation, rollback readiness and environment promotion
- Become the single intake point for infrastructure and environment requests from the development teams
Security & Compliance
- Implement least-privilege access, secrets management and audit logging that meet HIPAA requirements
- Work with IT and security on endpoint and network controls so developers can work effectively without weakening protection
- Keep infrastructure and access documentation current enough to pass an audit
Reliability & Support
- Set up monitoring, alerting and logging so issues are caught early and routed to the right people
- Write the runbooks, escalation paths and setup documentation the managed service provider uses to support systems after hours, on weekends and on holidays
- Lead incident response and post-incident review for platform issues
What We're Looking For
Required
- 5+ years in DevOps, platform engineering or SRE, including ownership of production environments
- Deep hands-on Azure experience: networking, identity (Entra ID), compute and app hosting, Key Vault, Azure Monitor
- Infrastructure as code with Terraform or Bicep
- CI/CD with Azure DevOps or GitHub Actions, ideally for .NET workloads
- Containers: Docker required, Kubernetes or AKS a strong plus
- Scripting in PowerShell plus Bash or Python
- Experience securing environments that handle sensitive or regulated data
- Experience directing or working closely with an external infrastructure provider
- Clear written documentation habits; your runbooks will be used by people you are not in the room with
Preferred
- HIPAA, SOC 2 or HITRUST experience
- AWS experience
- Salesforce deployment pipelines or other enterprise SaaS release management
- Test data masking or synthetic data generation
- Supporting AI or LLM-based workloads, and using AI-assisted tooling in your own work
- Background in healthcare, RCM, fintech or another high-volume operational environment