Talantix.io
Point72•16.02.26
AI SCORE 8.5

Remote Site Reliability Engineer - Innovative Tech Solutions

$90K–$120K/year
RemoteAI/Big Data
Linux•Windows•Python•DataDog•CI/CD•Bitbucket•Github-action•Jenkins•SQL Server•MongoDB•AWS•Kubernetes•OpenShift•Terraform•CloudFormation

About the Role

Join Point72 as a Remote Site Reliability Engineer and be part of a cutting-edge technology team that is transforming the future of investing. In this role, you will play a crucial part in enhancing our IT infrastructure, ensuring system reliability, and implementing innovative solutions that drive our business forward. As a Remote Site Reliability Engineer, you will collaborate with various teams to improve application performance and reliability, making a significant impact on our operations.

What You'll Do

  • Design and implement automated operational workflows to improve system reliability and reduce manual intervention.
  • Build and maintain observability solutions using tools such as Datadog to deliver metrics, monitoring, alerting, and dashboards.
  • Partner with development teams to enhance application reliability, deployment safety, and performance through SRE best practices.
  • Develop and maintain CI/CD pipelines and deployment automation using Bitbucket, Jenkins, GitHub Actions, and related tooling.
  • Engineer scalable solutions for production environments across Linux and Windows systems.
  • Automate infrastructure and operational tasks using Python, PowerShell, Bash, or similar scripting languages.
  • Support and enhance the reliability of database platforms such as SQL Server and MongoDB from an SRE perspective.
  • Participate in incident response, drive root cause analysis, and implement long-term reliability improvements.
  • Define and enforce SLOs, SLIs, and error budgets in partnership with application teams.
  • Collaborate with Networking, Platform, and Security teams to ensure end-to-end system reliability.
  • Enable self-service and standardized operational patterns for development teams.

Requirements

  • Strong hands-on experience with Linux and Windows operating systems.
  • Proven experience building automation and tooling using Python or similar languages.
  • Deep understanding of observability and monitoring, preferably with Datadog.
  • Experience with CI/CD pipelines and deployment automation (Bitbucket, GitHub Actions, Jenkins, etc.).
  • Operational and performance knowledge of SQL Server and MongoDB.
  • Familiarity with cloud platforms (AWS or similar) and hybrid architectures.
  • Solid understanding of networking concepts such as DNS, load balancing, and TCP/IP.
  • Experience working closely with application development teams in an SRE or DevOps role.
  • Experience with Kubernetes, OpenShift, and containerized workloads.
  • Knowledge of infrastructure-as-code tools (Terraform, CloudFormation, etc.).

Nice to Have

  • Experience with monitoring tools beyond Datadog.
  • Familiarity with Agile methodologies.
  • Certifications in cloud platforms or DevOps practices.

What We Offer

  • Competitive salary and performance bonuses.
  • Remote work flexibility with a focus on work-life balance.
  • Opportunities for professional development and continuous learning.
  • Collaborative and innovative work environment.
  • Health and wellness benefits.
  • Access to cutting-edge technology and tools.
Language Requirements
EnglishB2
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Remote Site Reliability Engineer position at Point72 offers a unique opportunity to work with cutting-edge technology in a collaborative environment. With competitive salary and remote flexibility, it's an attractive role for tech professionals.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

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Proficient in managing and automating Linux and Windows environments, with a strong command of scripting in Python to streamline operations and enhance system reliability.

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Adaptable and self-motivated, thriving in a remote work setting by effectively managing time and priorities while collaborating with cross-functional teams using tools like Bitbucket and GitHub Actions.

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Hands-on experience with CI/CD pipelines and monitoring tools such as DataDog, combined with a proactive mindset towards troubleshooting and performance optimization of SQL Server and MongoDB.

Learning Resources

→Linux Command Line Basicscourse
→Site Reliability Engineering: How Google Runs Production Systemsbook
→Introduction to Continuous Integration and Continuous Deploymentarticle

Career Path

Remote Site Reliability Engineer(Now)→Site Reliability Engineering Manager(1-2 years)→Director of Reliability Engineering(3-5 years)

Market Overview

Market Size 2024
$50B
Annual Growth
12.5%
AI Adoption
45%
Investment
+35%
Labour Demand
+20%
Avg Salary
$120K

Skills & Requirements

Required
LinuxWindowsPython
Growing in Demand
KubernetesDockerTerraform
Declining
Apache MesosPuppet

Domain Trends

Shift to Cloud-Native Architectures
Over 70% of organizations are adopting cloud-native architectures, leading to increased demand for Linux expertise in containerization and orchestration technologies.
Increased Focus on Automation
Companies are investing 50% more in automation tools, with CI/CD pipelines becoming a standard practice in software development, increasing the need for skilled SREs.
Rise of Observability Tools
The observability tools market is expected to grow by 25% annually, with DataDog and similar platforms becoming essential for site reliability engineers, enhancing the demand for professionals skilled in these technologies.

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