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обновлено 13 дней назад

Principal Site Reliability Engineer

7 000 - 12 000$
Формат работы
remote (Global)
Тип работы
fulltime
Грейд
principal
Английский
b2
Страна
Turkey

Описание вакансии

Текст:
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TL;DR

Principal Site Reliability Engineer: Architecting and enhancing scalable infrastructure solutions, leveraging Kubernetes, AWS, and RDS with an accent on reliability, recoverability, and scalability. Focus on leading AI enablement efforts and maintaining engineering best practices for observability and security across teams.

Location: Remote

Salary: $7000 - $12000 USD per month

Company

hirify.global is revolutionizing the shopping experience beyond payments with interest-free installment plans, blending tech with accessibility.

What you will do

  • Architect, upgrade, design, and build scalable infrastructure solutions leveraging Kubernetes, AWS, RDS (MySQL/Postgres), and modern distributed patterns.
  • Drive the infrastructure team’s roadmap to higher levels of reliability, recoverability, and scalability.
  • Lead capacity planning, benchmarking, and stress testing to prepare for further growth in the business.
  • Lead the teams towards stronger signal anomaly detection and better, more flexible alerting.
  • Help lead hirify.global’s AI enablement efforts, identifying opportunities to apply AI and automation to enhance infrastructure reliability, developer productivity, and internal tooling.
  • Establish and evolve engineering best practices for observability, security, and CI/CD across teams.

Requirements

  • 12+ years of professional software engineering or infrastructure engineering experience, including significant SRE and backend experience.
  • Deployed significant changes to a production application or infrastructure configuration in the past 30 days.
  • Strong proficiency in Golang, with experience building and maintaining RESTful APIs.
  • Expertise with SQL-based RDBMS (MySQL, PostgreSQL) and experience optimizing schema and queries for performance at scale.
  • Proficiency in observability tools (Prometheus, Grafana, Datadog, New Relic).
  • Solid understanding of distributed systems design patterns.

Nice to have

  • Experience with AWS cloud infrastructure, mainly AWS Aurora RDS, both MySQL and Postgres.
  • Experience with data engineering, data pipelines and data warehousing.
  • Experience with CI/CD pipelines and deploying containerized microservices in Kubernetes.
  • Familiarity with AI developer tooling like Claude Code, Gemini CLI, Codex, Cursor.
  • Track record of shipping commercial APIs and data-driven applications in high-growth environments.

Culture & Benefits

  • Focus on using open source, and building what we can before buying.
  • Driven by high standards and continuous improvement.
  • Encouragement to develop new ways of doing things.
  • Value calculated risk-taking and timely delivery of results.
  • Listen attentively, speak candidly, and treat others respectfully.
  • Commit wholly once a decision is determined.