Site Reliability Engineer

Posted Yesterday
Be an Early Applicant
Hiring Remotely in Office, Machaze, Manica, MOZ
Remote or Hybrid
Entry level
Fintech • Insurance • Software • Analytics
Delivering data-driven cyber risk analytics for the insurance industry
The Role
Support scalable AWS cloud infrastructure, Terraform-based infrastructure as code, CI/CD pipelines, Kubernetes EKS environments, observability, monitoring, alerting, and incident response. Collaborate with engineering, security, and product teams while developing reliability and automation skills under the guidance of senior SREs.
Summary Generated by Built In

About CyberCube:

CyberCube delivers the world's leading analytics to quantify cyber risk, translating one of the most critical risks of today and the future into financial impact for businesses, markets, and society.

  • AI at our foundation, cyber risk at our core. We don't just use AI, we shape it.

  • Built on AI from day one. Artificial intelligence has been part of our strategy since the beginning, blended with deep cybersecurity and insurance expertise and backed by rigorous testing.

  • Trusted by more than 100 clients, including 75% of the top 40 European and US cyber insurance carriers and 70% of the top ten reinsurance brokers.

  • Backed for global growth. In 2025 Spectrum Equity joined some of CyberCube’s financial partners as a new cornerstone investor, accelerating our global growth and fueling innovation across our end-to-end cyber risk analytics for the insurance industry.

  • A truly global team across San Francisco, New York, London, and Tallinn.

  • A culture of collaboration, openness, intellectual rigor, and ownership for excellence.

  • People at the forefront. We encourage CyberCubers to challenge themselves, push boundaries, and do the best work of their careers.

At CyberCube, we're building modern, scalable cloud infrastructure — and we're looking for a Site Reliability Engineer to join the team and grow with us.

This role is opening up as a valued member of our team moves on to a new chapter after more than seven years with CyberCube. We're looking for someone to step into that legacy, learn from the team around them, and build their own long-term home with us.

You'll work alongside experienced engineers to support the performance, security, and reliability of our systems, with plenty of room to learn, ask questions, and develop your skills in a collaborative, fast-paced environment.

Key Responsibilities

  • Support Cloud Infrastructure. Help design, build, and maintain scalable infrastructure using tools like Terraform, working closely with senior engineers on architecture decisions.

  • Contribute to CI/CD Pipelines. Assist in building and maintaining CI/CD workflows using tools such as GitHub Actions, learning best practices for smooth, secure deployments.

  • Work with Containerized Environments. Support day-to-day operation of our Kubernetes (EKS) environments and build your understanding of container best practices.

  • Support Observability and Reliability. Help set up and tune monitoring and alerting tools like Datadog and Prometheus, and take part in incident response with guidance from the team.

  • Collaborate Across Teams. Work with engineering, security, and product colleagues, and start contributing your own ideas to infrastructure and process improvements as you grow into the role.

Qualifications

  • Some hands-on experience with cloud platforms (especially AWS), or strong self-directed learning in this area.

  • Basic exposure to Infrastructure-as-Code tools like Terraform or AWS CloudFormation.

  • Familiarity with CI/CD concepts and tools such as GitHub Actions or Jenkins.

  • Foundational knowledge of Docker and Kubernetes, with genuine interest in orchestration and microservices.

  • Any exposure to observability tools (Datadog, Prometheus, Grafana) is a plus, but not required.

  • Ability to write basic scripts in Python or a similar language to automate simple tasks.

  • A curious, collaborative mindset, comfortable asking questions, open to feedback, and eager to build toward more ownership over time.

What we offer

  • Structured onboarding, pairing with senior SREs on real infrastructure work, and room to grow your ownership and scope as your experience deepens.

  • Play an instrumental role in reshaping one of the oldest industries in the world

  • Learning and development assistance

  • Vision and dental coverage

  • Extra vacation days during winter holidays

  • Flexible working hours and work-from-home option

  • Company-supported mentorship and secondment programs

  • Work abroad for up to 3 months with approval

AI Fluency at CyberCube

AI is reshaping how work gets done across every function. We value people who are curious about AI, eager to learn, and thoughtful about applying AI tools to work more effectively. AI fluency is part of how we assess every role in our hiring process.

Don't tick every box? Apply anyway.

Research shows the best candidates rarely match a job description point for point. If you're excited about this role and believe you could make an impact, we'd love to hear from you, even if your experience doesn't line up perfectly with everything listed above.

CyberCube Analytics, Inc. and CyberCube Analytics Europe Limited is an equal opportunity employer. We don’t tolerate discrimination against age, gender, gender identity, gender expression, sexual orientation, race, color, nationality, ethnicity, religion, disability, veteran status, protected genetic information or political affiliation.

Skills Required

  • Some hands-on experience with cloud platforms, especially AWS, or strong self-directed learning in cloud technologies
  • Basic exposure to Infrastructure-as-Code tools such as Terraform or AWS CloudFormation
  • Familiarity with CI/CD concepts and tools such as GitHub Actions or Jenkins
  • Foundational knowledge of Docker and Kubernetes, with interest in orchestration and microservices
  • Ability to write basic scripts in Python or a similar programming language
  • Curious, collaborative mindset; comfortable asking questions, receiving feedback, and developing greater ownership
  • Exposure to observability tools such as Datadog, Prometheus, or Grafana
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The Company
HQ: San Francisco, CA
138 Employees
Year Founded: 2018

What We Do

CyberCube is a SaaS technology company, developing world-leading cyber risk analytics and modeling to help society understand the financial impact of cyber risk. We enable society to make better decisions about which digital risks to avoid, mitigate or insure as internet-connected technologies change the nature of risk in the 21st Century. CyberCube delivers world-class insight-driven analytics, built specifically for the insurance ecosystem. We’re helping our customers all over the world use our data and analytics applications to enable insurance placement, underwriting decisions, and portfolio management optimization. We help power insight-driven decisions to grow cyber insurance in a sustainable, profitable way. We help the cyber insurance market to grow profitably through the use of our world-leading cyber risk analytics. We give insurers the ability to take insight-driven risk decisions, see trends before they become claims and tackle complex and important challenges. The combined power of our unique data, multi-disciplinary analytics and cloud based technology helps with insurance placement, underwriting selection and portfolio management optimization. Our deep bench of experts from data science, security, threat intelligence, actuarial science, software engineering and insurance helps the global insurance industry by selecting the best sources of data and curating it into data sets to identify trustworthy early indicators of risks and build a forward-looking view of them.

Why Work With Us

Our supportive and respectful environment increases the participation and contribution of all employees, with personal development and inclusion being priorities. We deeply care about the wellbeing of our employees and strive for a fun and healthy environment where you'll be able to roll your sleeves up and learn with like-minded talented people.

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