Senior Software Engineer

Product Development PositionOverview

We are seeking a Senior DevOps Engineer to lead the design, development, and optimization of CI/CD pipelines, cloud infrastructure, and automation solutions for a US Healthcare Revenue Cycle Management (RCM) platform. This role will own infrastructure-as-code IaC, container orchestration, monitoring, and cloud deployments supporting Claims, Prior Authorization, Scheduling, Coding, Collections, and EDI. You will ensure scalable, secure, and compliance-ready DevOps solutions that enable AI/ML, GenAI, Agentic AI, autonomous agents, multi-agent workflows, bots, and RPA pipelines, delivering autonomous, goal-driven, and self-healing operations across the platform.

Job Roles Responsibilities

Cloud Infrastructure Leadership: Lead design, implementation, and optimization of cloud infrastructure (AWS, Azure, GCP) for RCM platform modules.
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, and reliable delivery of AI-driven features and autonomous operations.
Monitoring, Security Compliance: Configure monitoring, logging, and alerting for cloud resources, applications, AI agents, and bots. 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 with logs, 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.

Candidate Requirements

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, and Kubernetes/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, and safe 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 healthcare RCM modules 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-driven decisions.

Support audit readiness, regulatory compliance, and operational excellence across the platform.

Elevate the organization toward autonomous, decision-driven cloud operations using AI agents and bots as first-class components.

Job Category: Product Development

Job Type: Full Time

Job Location: Pune IN

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.