We are seeking a Senior DevOps Engineer to lead the design, development, and optimization of CI/CDpipelines, cloud infrastructure, and automation solutionsfor aUSHealthcare Revenue CycleManagement(RCM) platform. Thisrole will own infrastructure-as-code (IaC), container orchestration, monitoring, and cloud deployments supportingClaims, Prior Authorization, Scheduling, Coding, Collections, and EDI. You will ensure scalable, secure, andcompliance-ready DevOps solutions that enable AI/ML, GenAI, Agentic AI, autonomous agents, multi-agentworkflows, bots, and RPA pipelines, delivering autonomous, goal-driven, and self-healing operations across theplatform.
Cloud & Infrastructure Leadership:
Lead design, implementation, and optimization of cloud infrastructure (AWS, Azure, GCP) for RCM platform modules.
Implement Infrastructure-as-Code using Terraform, CloudFormation, or equivalent tools.
Ensure high availability, fault tolerance, and auto-scaling of microservices, AI/ML models, GenAI pipelines, agentic AI, autonomous agents/bots, and RPA workflows.
Monitor cloud costs and optimize resource utilization for production and non-productionenvironments.
Architect event-driven and agent-driven infrastructure enabling autonomous monitoring, decision-making, and self-healing operations.
CI/CD & Automation:
Design, implement, and maintain CI/CD pipelines for microservices, AI/ML, GenAI, Agentic AI workflows, autonomous agents, multi-agent orchestration, bots, and RPA automation. Automate deployment processes for containerized workloads using Docker and Kubernetes.
Enable continuous integration and delivery of AI/ML models, GenAI systems, and agentic/autonomous workflows, including training, testing, deployment, memory/context handling, and feedback loops.
Implement AgentOps practices, including monitoring agent/bot behavior, versioning models/tools, safe rollout/rollback strategies, and auditing.
Monitor and optimize deployment workflows to ensure low-latency, high-performance, andreliable delivery of AI-driven features and autonomous operations.
Monitoring, Security & Compliance:
Configure monitoring, logging, and alerting for cloud resources, applications, AI agents, andbots.
Ensure HIPAA, SOC 2, and internal compliance policies are enforced in infrastructure, deployment, and autonomous workflows.
Maintain audit trails, role-based access controls, and secure secrets management.
Implement guardrails for autonomous agents, including human-in-the-loop governance for
critical decisions.
Microservices, API & Integration Oversight:
Support microservices architectures with event-driven pipelines (Kafka, RabbitMQ) and API integrations.
Expose AI models, agents, and bots via secure REST APIs / microservices control planes for
orchestration and interaction with applications and cloud services.
Enable agents/bots to coordinate with RPA platforms, cloud services, and AI workflows for
autonomous execution.
Integrate Big Data platforms (Snowflake, Spark, Hadoop, EMR, Redshift) to feed AI agents withlogs, telemetry, and operational insights for predictive decision-making.
Ensure reliable, transactional deployment and configuration changes across distributed systems.
Mentorship & Team Leadership:
Mentor junior DevOps engineers and support cross-functional teams in CI/CD, cloud, AI/GenAI, agentic AI, autonomous bots, multi-agent orchestration, and RPA best practices.
Conduct code and architecture reviews for infrastructure and pipeline implementations.
Drive continuous improvement initiatives for operational efficiency, scalability, and security.
Bachelor’s or Master’s degree in Computer Science, IT, or related field.
6–10+ years of experience in DevOps, cloud engineering, or infrastructure automation, preferably in US Healthcare / RCM.
Hands-on experience with cloud platforms (AWS, Azure, GCP), Terraform/CloudFormation, andKubernetes/Docker.
Strong understanding of CI/CD pipelines, automated testing, monitoring, and logging.
Exposure to microservices architectures, event-driven pipelines, and API integrations.
Experience in AI/ML, GenAI, Agentic AI, autonomous agents, multi-agent orchestration, bots, or RPA workflow deployments is highly preferred.
Knowledge of HIPAA, SOC 2, and healthcare compliance regulations.
Technical Expertise:
Cloud & Infrastructure: AWS, Azure, GCP, Terraform, CloudFormation, VPC, IAM, SecurityGroups
CI/CD & Automation: Jenkins, GitHub Actions, GitLab CI, ArgoCD, Ansible, Docker, Kubernetes, AI/ML pipeline automation
Monitoring & Logging: Prometheus, Grafana, ELK Stack, CloudWatch, Datadog, bot/agent
activity monitoring
Microservices, API & Integration: REST APIs, .NET Core microservices, Kafka, RabbitMQ, event- driven architectures, agentic control planes
Big Data & Analytics: Snowflake, Spark, Hadoop, EMR, Redshift
Compliance & Security: HIPAA, SOC 2, IAM, secret management, audit trails
AI/GenAI / Agentic AI / Autonomous Bots / Multi-Agent Systems / RPA: Infrastructure
provisioning, deployment, orchestration, memory/context management, feedback loops, andsafe execution of autonomous workflows
Skillset:
Strong analytical and problem-solving skills for distributed, microservices-driven infrastructures.
Ability to design end-to-end cloud architecture and CI/CD pipelines for complex healthcareRCMmodules and autonomous AI/GenAI/agentic AI workflows.
Experience mentoring junior engineers and collaborating with QA, AI/ML, RPA, autonomous bots, and product teams.
Excellent communication, compliance-first mindset, and ownership of infrastructure projects.
High attention to detail, scalability thinking, and strategic foresight.
Strategic Impact:
Ensure scalable, secure, and compliant infrastructure for all RCM modules.
Enable CI/CD, AI/ML, GenAI, Agentic AI, autonomous agents, multi-agent orchestration, bots, and RPA workflows with reliable, safe, and auditable automation.
Reduce production incidents, improve deployment efficiency, and accelerate analytics-drivendecisions.
Support audit readiness, regulatory compliance, and operational excellence across the platform.
Elevate the organization toward autonomous, decision-driven cloud operations using AI agentsand bots as first-class components.
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If you are approached by anyone requesting payment or offering you a position at Credence in exchangefor money, do not engage with them. Such actions are fraudulent and not authorized by Credence. Please report any such incidents immediately to our official HR team at [email protected] safety and trust are important to us. Thank you for helping us maintain a fair and transparent hiringenvironment.
