Engineering Manager – Platform Reliability

Engineering Manager – Platform Reliability

About GW RhythmX

Our Vision: Forever change medicine by turning intelligence into impact at every point of care.

GW RhythmX uses AI to help 150+ health systems deliver the right care, at the right time, through the right clinician — reducing burden while improving outcomes. Our solutions reach 85M+ patients, including 8M U.S. military veterans, and are recognized by KLAS Research, Fierce Healthcare, and AVIA Marketplace.

As a Symphony AI portfolio company, we combine startup agility with enterprise-scale infrastructure, including:

Longitudinal data on 300M patients

4.4B annual claims

A global network of 1.8M healthcare professionals

The Role

We are building a scalable, AI-first healthcare technology platform powered by cloud-native microservices, distributed data processing pipelines, workflow orchestration, and AI-driven healthcare applications.

As an Engineering Manager – Platform Reliability, you will lead and drive our DevOps, Site Reliability Engineering (SRE), and DevSecOps capabilities, ensuring the platform is highly available, secure, scalable, and reliable across multiple customer environments.

You will own the architecture and execution of deployment automation, Kubernetes infrastructure, database reliability, production operations, security, and cloud cost optimization.

This is a highly technical, hands-on leadership role requiring deep expertise in cloud infrastructure, distributed systems, CI/CD, Kubernetes, and production reliability. You will work closely with application, data, AI/ML, QA, and product engineering teams to build standardized, automated, and resilient platform operations.

What You'll Own

Deployment Architecture & Release Engineering

Architect and implement standardized, automated CI/CD pipelines across development, QA, staging, and production environments.

Drive reliable, repeatable, and near one-click deployments across multiple customer environments.

Design and implement Blue/Green and Canary deployment strategies to minimize downtime and release risks.

Enable independent deployment of application code, configurations, and database changes with safe rollback and recovery mechanisms.

Implement automated pre- and post-deployment validations, release versioning, artifact promotion, and deployment traceability.

Reduce deployment duration, manual intervention, and change failure rates.

Kubernetes & Cloud Infrastructure Management

Own Kubernetes-based platform architecture and operations across Microsoft Azure and AWS.

Drive infrastructure provisioning and deployment automation using Infrastructure as Code (IaC).

Establish GitOps-based management of Kubernetes manifests, Helm charts, and application configurations.

Design reusable infrastructure templates to support multiple customer environments.

Automate environment provisioning, including production-like environments using synthetic or de-identified healthcare data.

Optimize Kubernetes scheduling, autoscaling, capacity, availability, and cloud resource utilization.

Ensure proper separation of application artifacts, environment configurations, secrets, and persistent data.

Database Operations & Data Reliability

Own production database reliability, particularly PostgreSQL, including backup, recovery, high availability, and disaster recovery.

Design automated schema migrations, database upgrades, and safe rollback and recovery procedures.

Implement database replication, synchronization, and Change Data Capture (CDC) mechanisms where required.

Establish Git-controlled reference data, seed data, and configuration management.

Automate database connectivity, integrity, and post-migration validation checks.

Define and regularly test Recovery Time Objectives (RTO) and Recovery Point Objectives (RPO).

Partner with development teams to enable backward-compatible schema evolution and database backfills.

Site Reliability Engineering & Production Operations

Establish Service Level Indicators (SLIs), Service Level Objectives (SLOs), and error-budget practices.

Build end-to-end observability across microservices, infrastructure, databases, APIs, and distributed workflows.

Implement centralized logging, metrics, distributed tracing, dashboards, and actionable alerting.

Lead production incident management, root cause analysis (RCA), and corrective action tracking.

Develop automated operational runbooks, diagnostics, and recovery procedures.

Drive production-readiness reviews, performance testing, capacity planning, and operational risk assessments.

Continuously improve platform availability, Mean Time to Recovery (MTTR), and operational efficiency.

Distributed Systems & Workflow Reliability

Own operational reliability of distributed systems involving Kubernetes, Kafka, Temporal, and asynchronous workers.

Design safe pause, drain, resume, and ownership-transfer mechanisms during application deployments.

Prevent duplicate or missed processing and unintended external side effects during system upgrades.

Monitor and recover scheduled jobs, background workers, and long-running workflows.

Partner with engineering teams to implement retries, idempotency, backpressure, rate limiting, and fault-tolerant recovery mechanisms.

Security Operations & Compliance (DevSecOps)

Own DevSecOps practices across infrastructure, CI/CD pipelines, Kubernetes, and production environments.

Integrate vulnerability scanning, container image scanning, dependency scanning, and automated security validations.

Establish secure secrets and certificate management, least-privilege access, and production access controls.

Strengthen audit logging, network security, and infrastructure hardening.

Embed security controls into infrastructure provisioning and release automation.

Support HIPAA, HITRUST, and SOC 2 compliance through technical safeguards, operational controls, and audit evidence collection.

Coordinate vulnerability remediation and security incident response with security and compliance teams.

Ensure sensitive healthcare data is protected across development, testing, staging, and production environments.

Cloud Cost Management & Optimization (FinOps)

Own cloud cost visibility, tracking, forecasting, and optimization across Azure/AWS infrastructure, Kubernetes workloads, databases, storage, networking, and observability.

Establish accurate cloud cost allocation and reporting by customer, environment, service, and engineering team.

Implement budgets, spend dashboards, cost anomaly detection, and proactive alerts for unexpected consumption.

Optimize resource utilization through rightsizing, autoscaling, capacity planning, storage lifecycle policies, and reserved or spot capacity.

Partner with engineering and finance teams to evaluate unit economics and cost-performance trade-offs.

Define and track FinOps KPIs, including budget variance, resource utilization, cost per customer/workload, and verified infrastructure savings without compromising reliability or security.

Engineering Leadership & Operational Excellence

Build, mentor, and lead high-performing DevOps, SRE, and security engineering teams.

Provide hands-on technical leadership across architecture, automation, troubleshooting, and production incident management.

Define on-call coverage, escalation pathways, and operational ownership.

Collaborate closely with application, data, AI/ML, QA, and product engineering teams.

Establish a culture of automation, standardization, accountability, and continuous improvement.

Evaluate AI-assisted incident investigation, log analysis, automated root cause analysis, and operational diagnostics.

Prioritize reliability improvements and technical debt alongside product delivery.

Measure engineering effectiveness through DORA metrics and platform reliability indicators.

Required Experience

Engineering Leadership & Platform Reliability (Must-Have)

12+ years of experience in s