Senior Site Reliability Engineer at AKAMAI TECHNOLOGIES SINGAPORE PTE LTD

Tel-Aviv, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

18 Jul, 26

Salary

0.0

Posted On

19 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Site Reliability Engineering, Kubernetes, Terraform, GitOps, ArgoCD, GoLang, Python, Linux, Cloud Computing, Datadog, Prometheus, SaaS, Cyber Security, Infrastructure as Code, Observability, Automation

Industry

technology;Information and Internet

Description

Are you excited by the prospect of working with innovative security products? Do you enjoy creating innovative and strategic solutions to solve complex problems? Join Our Site Reliability Engineers Team Guardicore (now Akamai!) is redefining how organizations protect data centers and clouds from advanced threatsdriven by our exceptional people. Join our Cloud team to build a high-performance SaaS platform that enables faster releases, large-scale deployments, and effective monitoring. Partner with the best Our Cloud team is a diverse team that includes both SREs and Software Engineers. As part of our ongoing innovation efforts, we are also developing cutting-edge AI agents that enhance R&D productivity, automate complex workflows, and improve operational efficiency across the organization. As a Senior Site Reliability Engineer, you will be responsible for: * Developing, improving, and maintaining Guardicore's Cyber Security SaaS platform. Troubleshooting multiple Kubernetes platforms. * Practicing infrastructure as a code (IaC) using Terraform and GitOps, utilizing ArgoCD to automate and manage infrastructure. * Evolving our tooling, logging, monitoring, and alerting systems to increase observability and transparency. * Coding internal tooling using multiple programming languages (GoLang/Python/etc).Triaging and Solving platform issues during day-to-day operations. * Collaborating with Guardicore's Development and Research groups to constantly improve our platform. * Contributing to the development and integration of advanced AI agents that streamline R&D processes and increase engineering efficiency What You'll Bring To be successful in this role, you will: * Have relevant experience as an SRE, DevOps, or similar technological crafts. * Have Linux admin and troubleshooting experience. * Demonstrate mindset and approach for automating away from manual efforts (Python, Golang). * Have experience in modern container orchestration projects, Kubernetes. * Have experience with at least one of the biggest cloud vendors - GCP, Azure or AWS * Have experience building and maintaining monitoring and alerting capabilities using tools such as Datadog, Prometheus, etc. * Possess an innovative approach, with the ability to quickly learn technologies and build solutions. * Manage complex cross-functional teams on technical projects Build your career at Akamai Our ability to shape digital life today relies on developing exceptional people like you. The kind that can turn impossible into possible. We’re doing everything we can to make Akamai a great place to work. A place where you can learn, grow and have a meaningful impact. With our company moving so fast, it’s important that you’re able to build new skills, explore new roles, and try out different opportunities. There are so many different ways to build your career at Akamai, and we want to support you as much as possible. We have all kinds of development opportunities available, from programs such as GROW and Mentoring, to internal events like the APEX Expo and tools such as Linkedin Learning, all to help you expand your knowledge and experience here. Learn more Not sure if this job is the right match for you or want to learn more about the job before you apply? Schedule a 15-minute exploratory call with the Recruiter and they would be happy to share more details.

Responsibilities

You will be responsible for developing and maintaining the Cyber Security SaaS platform while troubleshooting Kubernetes environments. Additionally, you will collaborate with cross-functional teams to integrate AI agents that enhance R&D productivity and operational efficiency.