Site Reliability Engineering Intern - June 2026
Framingham, Massachusetts, États-Unis
Faire une demandeStaples is business to business. You are what binds us together.
We are seeking a graduate-level student for a Site Reliability Engineering (SRE) Intern to join our team with a focus on AI-enabled automation and reliability tooling. This role offers hands-on experience improving the reliability, scalability, and operational efficiency of Staples’ critical platforms by building automation, enhancing observability, and applying AI-driven techniques to reduce toil and accelerate incident response.
Target Start Date: June 1, 2026 - August 14, 2026 (11-week program)
What you bring to the table:
· Reliability Mindset – motivated by building systems that are resilient, observable, and scalable.
· Automation First – strong interest in eliminating manual operational work through scripting, tooling, and intelligent automation.
· Analytical Thinker – curious about system behavior, failure modes, and how data can be used to improve reliability.
· Collaborative – able to work closely with application engineers, platform teams, quality & performance engineering teams, and enterprise tools partners.
· Continuous Learner – eager to explore new technologies, frameworks, and AI-assisted operational techniques.
What you’ll be doing:
· Build and enhance automation to improve monitoring, alerting, incident response, and operational workflows
· Apply AI/ML or LLM-based approaches to operational data for tasks such as anomaly detection, alert enrichment, summarization, and assisted remediation
· Work with observability signals, including metrics, logs, traces, and events, to improve system insight and reliability
· Develop scripts, tools, or services using languages such as Python or Java to support SRE and engineering teams
· Participate in post-incident reviews, root cause analysis, and reliability analysis under the guidance of senior SREs
· Contribute to infrastructure- and configuration-as-code using Git-based workflows and CI/CD pipelines
What’s needed – Basic Qualifications:
· Actively pursuing a master’s degree in Computer Science, Software Engineering, Systems Engineering, or a related field
· Strong foundation in operating systems, networking, data structures, and software engineering fundamentals
· Proficiency in at least one programming or scripting language such as Python, Java, or Go
· Comfort working in Linux-based environments and using Git for version control
What's needed - Preferred Qualifications:
· Exposure to SRE concepts such as SLIs/SLOs, error budgets, and incident management
· Experience or coursework related to monitoring, observability, or distributed systems
· Familiarity with cloud platforms, containers, Kubernetes, or infrastructure-as-code tools
· Interest or academic experience in AI/ML applied to systems, operations, or analytics
Chez Staples, « inclusion » est un mot d'action. Il représente ce que nous faisons pour garantir que tous les employés se sentent valorisés et soutenus afin de contribuer à leur plein potentiel. Lorsque nous opérons de manière inclusive, la diversité suit naturellement. C'est pourquoi nous travaillons dur pour favoriser une culture inclusive, car nous recherchons des employés ayant des perspectives uniques et variées et des domaines d'expertise divers. Le résultat est un meilleur environnement de travail et une réflexion innovante qui nous aide à dépasser les attentes de nos clients – grâce à la force des personnes derrière notre marque emblématique.
Staples est un employeur garantissant l'égalité des chances. Tous les candidats qualifiés seront pris en considération pour un emploi sans distinction de race, couleur, religion, âge, sexe, orientation sexuelle, identité de genre, origine nationale, statut de vétéran protégé, handicap ou toute autre base protégée par la loi fédérale, étatique ou locale.
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