Systems Development Engineer (SRE/DevOps)

As a Systems Development Engineer with an SRE focus, you’ll build and maintain highly available, observable, and efficient systems that support mission‑critical services. You will focus on CI/CD automation, infrastructure and configuration as code, and deep monitoring/observability, while owning incident response and reliability for cloud‑native applications on AWS and Kubernetes.

•  Design, build, and maintain automated CI/CD pipelines using tools such as Harness, GitHub Actions, and ArgoCD.
• Develop and maintain infrastructure and configuration as code using CloudFormation, Terraform, Ansible, and related automation tools.
• Administer and optimize AWS environments, including core services, networking, security, and architecture for availability, performance, and cost.
• Manage and support Kubernetes clusters and containerized workloads, including configuration, scaling, and upgrades.
• Design, implement, and evolve end‑to‑end monitoring and observability frameworks using tools such as Open Telemetry, Groundcover, CloudWatch, Datadog, Prometheus, New Relic, or similar platforms.
• Create and maintain dashboards, logs, traces, SLIs/SLOs, and automated alerting systems to ensure reliability and rapid detection of anomalies.
• Embed observability, CI/CD best practices, and operational readiness into all stages of the software development lifecycle in partnership with engineering teams.
• Lead or participate in incident response, troubleshooting, and root cause analysis for production incidents, using observability data to drive fast resolution.
• Automate operational tasks, runbooks, and incident remediation workflows to reduce toil and improve service reliability.
• Contribute to risk mitigation, backup, and disaster recovery strategies, including periodic testing and continuous improvement.
• Participate in shared after hours support and project work as needed.

• 2-4 years of experience designing, implementing, and maintaining CI/CD pipelines (e.g., Harness, GitHub Actions, ArgoCD or similar tools).
• Hands‑on experience with automation tools and Infrastructure as Code / Configuration as Code (CloudFormation, Terraform, Ansible).
• Strong understanding of Infrastructure as Code and Configuration as Code principles and patterns.
• Solid grasp of the software development lifecycle and modern SRE/DevOps practices.
• AWS administration and architecture experience, including networking, security, IAM, and core services.
• Experience operating Kubernetes clusters (EKS or other distributions) and containerized workloads.
• Deep experience with monitoring and observability tools such as OpenTelemetry, Groundcover, CloudWatch, Datadog, Prometheus, New Relic, or equivalent, including metrics, logs, and traces.
• Ability to define and track SLIs/SLOs and use them to guide reliability improvements.
• Proficiency in Linux administration, including system configuration, troubleshooting, and performance tuning.
• Programming/scripting skills in at least one language such as Python, Go, or Rust for automation, tooling, and observability integrations.
• Solid understanding of networking, load balancing, and performance tuning.
• Experience troubleshooting complex distributed systems, supporting incident response, and driving root cause analysis.
• Familiarity with risk mitigation, backup, and disaster recovery concepts.

Preferred

• Experience building unified observability platforms or standardized dashboards for multiple services/teams.
• Experience with GitOps workflows and tools for declarative infrastructure and application delivery.
• Background in incident command and post‑mortem frameworks.
• Experience integrating observability and reliability practices into microservices and/or serverless architectures.
• Experience integrating testing, security and compliance checks into CI/CD pipelines.

Model N is transforming how Life Sciences companies manage revenue, commercialization, and compliance.

For more than 25 years, Model N has been the leader in end-to-end commercialization, revenue optimization, and compliance for pharmaceutical and medical technology companies.

Our intelligent, cloud-based platform combines technology, data, analytics, AI, and industry expertise to help leading Life Sciences organizations optimize revenue, navigate complex regulations, improve decision-making, and bring life-changing products to market faster.

Today, 150+ leading companies across the globe trust Model N to optimize growth and transform critical commercial processes. Our solutions manage approximately $1.3 trillion in gross revenue, helping customers reduce complexity, strengthen compliance, and unlock new opportunities for growth.

At Model N, we are building the next generation of Life Sciences revenue management—where technology, data, AI, and human expertise come together to create meaningful business impact.

Join us to build technology that powers innovation in Life Sciences and makes a difference at global scale.

For more information, visit www.modeln.com.