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About the role

  • Senior Platform Engineer at Trust Wallet developing cloud native platforms for innovative crypto architectures. Spearheading infrastructure planning, operations management, and feature development in a fully remote setting.

Responsibilities

  • 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.

Job type

Full Time

Experience level

Senior

Salary

Not specified

Degree requirement

No Education Requirement

Tech skills

AWSCloudGrafanaGRPCKubernetesPrometheusTerraformGo

Location requirements

RemoteWorldwide

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