Internship - DevOps - Monitoring & Data Tooling

We are constantly looking to add to our core talent. If you are seeking a career that is challenging and rewarding, a work environment that is diverse and dynamic, look no further — Haemonetics is your employer of choice.

Internship projects vary depending on the needs of both the student and the business. Haemonetics interns are assigned to a meaningful project within the company to acquire a variety of experiences, try different skills, and learn what a future career might offer while also contributing to our innovation agenda by completing business-critical projects and assignments.  The DevOps - Monitoring & Data Tooling Intern will be located onsite 3 days/2 days remote per week in our downtown Boston HQ located at 125 Summer St. The Summer 2026 Internship is a 12-week program that requires a commitment to start on June 1st and stay through August 21st.

What You Will Do this Summer:

Haemonetics is seeking a DevOps Intern to support the development and advancement of our monitoring, observability, and data-driven operational tooling. This role will be heavily focused on building and enhancing internal platforms that collect, analyze, and visualize systems telemetry, infrastructure health, and service-level performance data.

This internship offers hands-on experience working within regulated medical-device and healthcare software environments, supporting tools that enable continuous monitoring, proactive risk mitigation, automated alerting, and data-based decision support for engineering and customer-facing service teams.

Tasks:

• Design, build, and improve monitoring & observability tooling for hosted and hybrid infrastructure environments.

• Work with large datasets including logs, metrics, events, and service telemetry to derive insight and model patterns for alerting and performance dashboards.

• Develop automated data pipelines for collecting and structuring monitoring data from diverse sources (cloud, on-prem, VPN-connected endpoints, etc.).

• Build and enhance dashboards and visualizations in tools such as Grafana, Kibana, or internal BI/analytics services.

• Implement and tune alerting, anomaly detection, and service health indicators (SLIs/SLOs).

• Support operational automation of monitoring controls, including scripting health checks and notification workflows.

• Partner with software & infrastructure teams to pilot new tooling that improves system stability, reliability, and response times.

• Document and present findings on tooling performance and recommended improvements.

Technical Focus Areas

• Monitoring & Observability: metrics, synthetic checks, distributed tracing, log aggregation, alerting frameworks.

• Data Engineering: ETL/ELT pipelines, structured/unstructured log analysis, API integrations, time-series data modeling.

• Automation: scripting (Python, Bash), workflow automation, notification integrations (Slack, Teams, email), infrastructure health jobs.

• Cloud + Hybrid Infra: AWS, VMware, VPN tunnel telemetry, load balancer and network observability fundamentals.

What You Will Learn

• End-to-end observability platform development

• Working in a regulated healthcare software ecosystem

• Infrastructure monitoring across multi-AZ cloud and private/hybrid environments

• Translating raw telemetry into actionable engineering insights

• Collaboration across DevOps, SRE, and customer-support engineering teams

Who You Are:

Degree Types: Computer Science, Informations Systems

Preferred Coursework: Cloud Computing (AWS/Azure/GCP intro), DevOps Fundamentals, DevSecOps / Secure Software Delivery, IT Governance or, Compliance, Data Visualization, Site Reliability Engineering (SRE), Infrastructure as Code, Observability / Monitoring Tooling

Required Skills:

• Interest in DevOps, SRE, or data engineering

• Familiarity with Linux, scripting, and APIs

• Comfort working with data (logs, metrics, JSON, time-series)

• Curiosity to explore new monitoring approaches

• Nice to have

• Exposure to Grafana, ELK stack, Prometheus, or cloud monitoring

• Coursework or projects involving data pipelines or automation

• Interest in analytics and visualization

• Understanding of infrastructure reliability concepts

Traits That Drive Success

• Builder mindset with a focus on automation and scalability

• Strong analytical thinking and data curiosity

• Clear communicator, especially for technical findings

• Interest in improving system resiliency through observability

EEO Policy Statement

Pay Transparency:

The base pay actually offered to the successful candidate will take into