Senior Platform Engineer

Job not on LinkedIn

🕒 Yesterday

🌏 Anywhere in the World

⏰ Full Time

🟠 Senior

🏗️ Platform Engineer

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Logo of Trust Wallet

Trust Wallet

51 - 200 employees

Founded 2017

The world's leading self-custody wallet trusted by over 150+ million users.

📋 Description

• You will be spearheading the planning and execution of infrastructure deployments, leveraging automation tools and best practices to guarantee a stable and scalable foundation for the platform serving our million users. • You will be managing day-to-day operations, troubleshooting issues, and optimizing workflows to maintain high availability (HA) and meet service level objectives (SLOs) for the platform. • You will be owning backend features that support all our platforms (extension, mobile and desktop). • You will be interfacing directly with end-users and developers building on Trust Wallet – supporting them and collecting feedback to inform the direction of the product. • You will be working with the team to create and foster a culture of raising the bar with each new hire. • You will leverage AI engineering best practices to boost developer productivity and engineering velocity—standardizing AI-assisted workflows (coding, reviews, debugging, incident response), building/maintaining internal tooling and prompts/guardrails, and measuring impact through delivery and reliability metrics.

🎯 Requirements

• Deep experience managing and building with Cloud Platforms (AWS, Cloudflare) • Experience with Kubernetes and adjacent technologies (Istio, Helm Charts) • Experience with infrastructure configuration management (Terraform, Atlantis) • Experience building CI/CD pipelines and accelerating application delivery (GitHub Actions, ArgoCD) • Experience with production observability technologies (Prometheus, Grafana, Sentry) • Hands on Go lang experience (Networking, HTTP, gRPC, OpenTelemetry) • Expertise in implementing SRE principles, focusing on maintaining high availability • Familiar with incident handling and on-call responsibilities • Experience leveraging AI-assisted engineering tools and best practices (e.g., LLM coding assistants, AI-driven code review/testing, prompt patterns/guardrails) • Strong security fundamentals and hands-on experience implementing cloud and Kubernetes security best practices.

🏖️ Benefits

• Excellent learning and career development opportunities. • Work alongside diverse, world-class talent, in an environment where learning and growth opportunities are endless. • Tackle fast-paced, challenging and unique projects. • Work in a truly global organization, with international teams and a flat organizational structure. • Work fully remotely with flexible working hours. • Enjoy competitive salary and benefits.

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