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. Job Responsibilities: • 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. Job Qualification: • 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, i ncluding metrics, logs, and traces. • Ability to define and track SLIs/SLOs and use them to guide reliability improvements. • Proficiency in Linux administrati on, 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 dashboard s 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. About Model N Model N is the leader in revenue optimization and compliance for pharmaceutical, medtech and high-tech innovators. For more than 25 years, we have helped customers maximize revenue, streamline operations, and maintain compliance through cloud-based software, value-add services, and data-driven insights. With a focus on innovation and customer success, Model N empowers life sciences and high-tech manufacturers to bring life-changing products to the world more efficiently and profitably. Model N is trusted by over 150 of the world’s leading companies across more than 120 countries. For more information, visit www.modeln.com .