Senior Platform Engineer

November 19

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Gladly

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SaaS • B2B • Artificial Intelligence

Gladly is a customer service platform that centers on AI to enhance customer interactions. The platform offers an all-in-one solution with features like People Match®, real-time CSAT feedback, and personalized self-service options, integrating seamlessly with popular tools such as Shopify and Klaviyo. With a focus on enhancing efficiency and decreasing costs, Gladly supports communication across voice, email, SMS, and social media channels. Its AI-driven approach helps businesses drive revenue and promote customer satisfaction by prioritizing personal, lifelong conversations over traditional ticketing systems.

51 - 200 employees

☁️ SaaS

🤝 B2B

🤖 Artificial Intelligence

📋 Description

• Own and evolve CI/CD infrastructure—reduce build times, improve deployment reliability, implement progressive rollouts, and make releases fast and stress-free • Build developer tooling and automation that eliminates toil—CLI tools, deployment automation, self-service capabilities, and intuitive abstractions over complex infrastructure • Partner with product engineering teams—gather feedback, understand workflows, and co-design solutions they'll love • Design and maintain Kubernetes infrastructure that's operable, debuggable, and accessible—making container orchestration intuitive while ensuring reliability • Operate and improve cloud infrastructure (AWS primary, multi-cloud with GCP/Azure) supporting AI workloads and rapid growth • Lead technical projects spanning 2-3 engineers—define roadmaps, recommend approaches, coordinate work, and ensure delivery

🎯 Requirements

• 5-8 years of platform/infrastructure/DevOps engineering experience with a track record building and operating production systems at scale • Strong CI/CD and developer tooling expertise—you've built, owned, or improved deployment pipelines and developer tools, understanding what makes them fast, reliable, and developer-friendly • Developer empathy and product thinking—consider how infrastructure decisions impact engineering velocity and work to improve developer experience • Ability to lead initiatives independently—identify problems, design solutions, build consensus, and deliver results with autonomy • Strong platform engineering foundation—operate effectively across cloud architecture, infrastructure automation, containerization, and distributed systems • Production Kubernetes experience—operate, troubleshoot, and optimize K8s, and can build abstractions that make it accessible • Cloud architecture skills (AWS strongly preferred) and infrastructure-as-code proficiency (Terraform or similar)—design resilient systems and think in code • Scripting and automation skills (Python, Bash, Go, or similar) and strong communication—automate toil, build tools, and explain technical decisions clearly • Nice to have: Software development experience in Go, Python, or Node.js; track record of building developer tooling or internal platforms that achieved high adoption; experience with observability platforms or local development environment tools

🏖️ Benefits

• Competitive salaries, stock options, and comprehensive benefits • Generous paid time off, parental leave, and home office stipends • A fully remote work environment with opportunities for in-person team gatherings • A strong commitment to professional growth and an inclusive workplace where diverse perspectives thrive