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职位Replit

Site Reliability Engineer

Replit

Site Reliability Engineer

Replit

Remote (United States)

·

Remote

·

Full-time

·

1mo ago

必备技能

Python

Kubernetes

Go

Terraform

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation.

About the role:

Join our Site Reliability Engineering team and help ensure the reliability, scalability, and performance of Replit's infrastructure that serves millions of developers worldwide. As a Site Reliability Engineer, you will bridge the gap between development and operations, implementing automation and establishing best practices that enable our platform to scale efficiently while maintaining high availability.

We are seeking SREs who are passionate about building and maintaining resilient systems at scale. Your mission will be to design and implement robust monitoring solutions, automate operational tasks, and continuously improve our infrastructure's reliability and performance.

YOU WILL:

  • Design and Implement Observability Solutions: Develop comprehensive monitoring and alerting systems using modern observability tools. Create dashboards and metrics that provide real-time visibility into system health and performance. Implement logging strategies that enable quick problem identification and resolution.

  • Drive Automation and Infrastructure as Code: Architect and implement infrastructure automation solutions using tools like Terraform, Ansible, or Pulumi. Design and maintain CI/CD pipelines that enable reliable and consistent deployments. Create self-healing systems that can automatically respond to common failure scenarios.

  • Establish SLOs and SLIs: Work with product and engineering teams to define and implement Service Level Objectives (SLOs) and Service Level Indicators (SLIs). Build systems to track and report on these metrics, ensuring we maintain high reliability standards while balancing innovation speed.

  • Incident Management and Response: Lead incident response efforts, conducting thorough post-mortems, and implementing improvements to prevent future occurrences. Develop and maintain runbooks for critical services. Build tools and processes that reduce Mean Time To Recovery (MTTR).

  • Performance Optimization: Identify and resolve performance bottlenecks across our infrastructure. Implement capacity planning strategies and optimize resource utilization. Work on reducing latency and improving system efficiency across global regions.

REQUIRED SKILLS AND EXPERIENCE:

  • 4-8 years of experience in Site Reliability Engineering or similar roles (DevOps, Systems Engineering, Infrastructure Engineering)

  • Strong programming skills in languages commonly used for automation (Python, Go, or similar)

  • Deep understanding of distributed systems

  • Experience with container orchestration platforms (Kubernetes) and cloud-native technologies

  • Proven track record of implementing and maintaining monitoring/observability solutions

  • Strong incident management skills with experience leading incident response

  • Experience with infrastructure as code and configuration management tools

BONUS POINTS:

  • Experience with Google Cloud Platform (GCP) services and tools

  • Knowledge of modern observability platforms (Prometheus, Grafana, Datadog, etc.)

WHAT WE VALUE:

  • Problem-solving mindset: Ability to approach complex operational challenges systematically and devise effective solutions

  • Self-directed and autonomous: Capable of working independently while collaborating effectively with cross-functional teams

  • Strong communication skills: Ability to explain complex technical concepts to both technical and non-technical audiences

  • Continuous learning: Passion for staying current with industry best practices and new technologies

  • Focus on automation: Strong belief in automating repetitive tasks and building self-healing systems

Full-Time Employee Benefits Include:

💰 Competitive Salary & Equity

💹 401(k) Program with a 4% match

⚕️ Health, Dental, Vision and Life Insurance

🩼 Short Term and Long Term Disability

🚼 Paid Parental, Medical, Caregiver Leave

🚗 Commuter Benefits

📱 Monthly Wellness Stipend

🧑‍💻 Autonomous Work Environment

🖥 In Office Set-Up Reimbursement

🏝 Flexible Time Off (FTO) + Holidays

🚀 Quarterly Team Gatherings

☕ In Office Amenities

Want to learn more about what we are up to?

  • Meet the Replit Agent https://www.youtube.com/watch?v=IYiVPrxY8-Y

  • Replit: Make an app for that https://www.youtube.com/watch?v=4zd9hzngFwY

  • Replit Blog https://blog.replit.com/

  • Amjad TED Talk https://youtu.be/kCudFI4tcpg?si=l4ViCejV_f2RZkDi

Interviewing + Culture at Replit

  • Operating Principles https://blog.replit.com/operating-principles

  • Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit

To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

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关于Replit

Replit

Replit

Series B

Replit, formerly Repl.it, is an American technology company. Founded in 2016, Replit developed an online integrated development environment (IDE) also named Replit that supports various programming languages.

201-500

员工数

San Francisco

总部位置

$1.16B

企业估值

评价

4.0

25条评价

工作生活平衡

3.2

薪酬

2.8

企业文化

4.1

职业发展

3.4

管理层

2.9

75%

推荐给朋友

优点

Flexible work arrangements and hours

Supportive team and colleagues

Learning and professional development opportunities

缺点

Heavy workload and long hours during deadlines

Management and organizational issues

Limited career advancement opportunities

薪资范围

17个数据点

Mid/L4

Mid/L4 · Economist

1份报告

$150,650

年薪总额

基本工资

$131,000

股票

-

奖金

-

$150,650

$150,650

面试经验

3次面试

难度

3.0

/ 5

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit