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1 день назад

Platform Engineer III (AWS/Kubernetes)

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
senior
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Platform Engineer III (AWS/Kubernetes): Developing and evolving a scalable and reliable Engineering Platform for digital communications, focusing on self-service datastore provisioning and lifecycle management. Focus on designing and implementing platform APIs, Infrastructure-as-Code templates, and orchestration pipelines for automated data infrastructure, and ensuring security, compliance, and optimal performance.

Company

hirify.global empowers organizations in regulated industries to manage risk and unleash intelligence in their digital communications, consistently recognized for leadership and aggressive growth.

What you will do

  • Define the architecture and long-term vision for the engineering platform, aligning it with business objectives.
  • Translate strategic objectives into a clear technical roadmap for self-service datastore capabilities.
  • Design and implement platform APIs, Infrastructure-as-Code templates, and orchestration pipelines for automated datastore management.
  • Integrate provisioning workflows with internal service catalogs, CI/CD pipelines, and monitoring solutions.
  • Guide junior engineers and peers in best practices for infrastructure automation and platform reliability.
  • Implement automated guardrails for datastore provisioning, ensuring security compliance and optimizing for scalability.

Requirements

  • 6–8 years of experience in platform engineering, DevOps, or infrastructure automation roles, preferably working with data platforms.
  • Deep expertise with AWS for provisioning, security, and management of data infrastructure.
  • Advanced experience writing and managing Terraform Infrastructure-as-Code.
  • Strong programming and scripting abilities in Python, Go, Bash, or Java for automation and custom tooling.
  • Deep experience with containerization and orchestration (Docker, Kubernetes), and integrating platform workflows with CI/CD pipelines.
  • Operational knowledge of data technologies including MongoDB, Kafka, Elasticsearch, Cassandra, S3, RDS, and SFTP.
  • Proven ability to technically guide teams and strong collaboration and communication skills.

Culture & Benefits

  • Work with lifelong learners passionate about innovating with purpose, humility, and humor.
  • Collaborative environment, working closely with popular communications platforms and leading cloud infrastructure.
  • Utilize the latest AI/ML technology to help customers break new ground at scale.
  • Part of a global organization that values diversity and authentic self-expression.
  • Leadership, culture, and commitment to people development have garnered Comparably.com Best Places to Work Awards.

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