Cloud Engineer Intern

Why this internship is different

At Pindrop, you’ll work on real production systems that protect billions of customer interactions from fraud and deepfakes each year. Our platform powers identity verification for major banks, insurers, and healthcare providers—where reliability, security, and scale truly matter.

This internship sits at the intersection of cloud infrastructure, security, and AI. You won’t be working on isolated or “toy” problems—you’ll contribute to systems that operate in real time and directly impact customers. Along the way, you’ll gain hands-on experience with modern DevOps, SRE, and AI-assisted engineering practices used in high-scale environments.

What you’ll do

As a Cloud Engineering Intern, you’ll work alongside experienced engineers to build and improve the infrastructure that powers Pindrop’s real-time fraud detection and authentication systems.

You will:

• Assist in building and improving scalable, secure cloud infrastructure on AWS and/or GCP that supports real-time voice authentication and fraud detection systems
• Contribute to CI/CD pipelines, infrastructure-as-code, and containerized environments (e.g., Terraform, Docker, Kubernetes) to enable reliable deployments
• Help enhance monitoring and observability by working with logs, metrics, and alerting systems to improve system reliability
• Collaborate with engineering teams to troubleshoot issues, implement small features, and improve performance and cost efficiency
• Apply security-minded engineering practices, including safe deployments, secrets management, and least-privilege access
• Use AI-assisted tools (e.g., code generation, log analysis, LLM-based search) to improve debugging, monitoring, and engineering productivity
• Support cloud cost analysis and optimization efforts by identifying inefficiencies and suggesting improvements

Depending on your interests and experience, you may:

• Improve deployment speed by optimizing CI/CD pipelines
• Build dashboards to detect anomalies in real-time systems
• Prototype AI-assisted tools for incident response or debugging
• Reduce cloud costs through usage analysis and automation
• Enhance reliability by improving monitoring, alerting, or failover mechanisms

By the end of the internship, you will:

• Deliver a meaningful improvement, feature, or tool used by the engineering team
• Demonstrate strong fundamentals in cloud infrastructure, debugging, and system reliability
• Present your work and impact to the broader engineering organization
• Gain hands-on experience with production systems at scale

Who you are

• You’re excited about cloud infrastructure, DevOps, or Site Reliability Engineering
• You enjoy debugging systems and digging into logs, metrics, and data to understand issues
• You take initiative and are comfortable working through ambiguity to find solutions
• You communicate clearly about technical problems, progress, and tradeoffs
• You’re collaborative and eager to learn from and contribute to a team
• You’re curious about how AI can improve engineering workflows and systems

Your skill-set

Must-have qualifications:

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field
• Experience through coursework, projects, or internships in software engineering, cloud infrastructure, or DevOps/SRE
• Familiarity with at least one cloud platform (AWS or GCP)
• Experience with at least one programming or scripting language (e.g., Python, Go, Bash)
• Basic understanding of version control (Git)
• Exposure to containerization or infrastructure-as-code concepts (e.g., Docker, Kubernetes, Terraform)
• Strong problem-solving skills and willingness to learn

Nice-to-have qualifications:

• Experience with CI/CD tools (e.g., GitHub Actions, Jenkins, GitLab CI)
• Familiarity with monitoring/observability tools (e.g., Prometheus, Grafana, CloudWatch)
• Exposure to cloud security concepts (IAM, secrets management, least privilege)
• Experience with AI/ML tools, APIs, or coursework
• Contributions to open-source, hackathons, or technical projects

What’s in it for you

• Hands-on experience working on real production systems at scale
• Mentorship from experienced cloud, DevOps, and SRE engineers
• Exposure to AI-assisted engineering tools and modern infrastructure practices
• A collaborative, remote-first environment with opportunities to connect in person
• The opportunity to make a real impact—and potentially receive a return offer

Our mission

In an era of accelerating fraud, deepfakes, and identity manipulation, Pindrop ensures that every interaction involves the real human and the right human. Your work will directly contribute to protecting enterprises and consumers from fraud and deception.

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