Senior Reliability Engineer for Large-Scale API and Microservices Platforms

hace 1 semana


Xico, México Hsbc A tiempo completo

**About the Role**

We are seeking an experienced Senior Reliability Engineer to join our team at Hsbc. In this role, you will be responsible for ensuring the availability and maintainability of our large-scale API and Microservices platform.

The successful candidate will have a strong background in distributed systems and networking, as well as experience with containerized environments and Kubernetes. They will also be proficient in at least one of the following programming languages: Python, Java, Go, Ruby, or Bash.

**Key Responsibilities**

Ensure the availability and maintainability of our large-scale API and Microservices platform.

Elevate our expertise and maturity in safely managing our core technology stack underpinned by AWS, Kubernetes, Kong API gateway, Mulesoft API, Istio Service Mesh, and a host of supporting services in a hybrid hosting environment.

Develop best-in-class observability tools and techniques enabling monitoring and alerting capability which facilitate not only incident detection and response, but also capacity management, improved release safety, and greater resource efficiency.

Investigate, triage, and resolve production incidents and use data to articulate impact with relentless attention to the technical signals and underlying root causes that enable remediation and future avoidance/mitigation.

Contribute to the design and engineering of auto and self-healing capability for known failure modes across our platforms.

Contribute code to our platform repositories enabling not only our reliability agenda (e.g., monitoring-as-code), but also higher release speed and safety, simpler tenant onboarding, and improved controls.

**Requirements**

Fluency in written and spoken English and comfort working in a multi-cultural and diverse organization with team members across the globe.

Value effective and continual communications, honesty, transparency, and accountability.

Value failure as an opportunity and an investment in more reliable systems.

Possess fundamentals and evidence-based problem-solving skills; drive decision-making by function, first principles-based mindset.

Demonstrate a bias-to-action and avoid analysis-paralysis, maintain a sense of ownership as you drive actions to the finish line with high quality and on time.

Be ego-less when searching for the best ideas and contribute effectively outside of your specialty.

Have strong fundamental knowledge in distributed systems and networking.

Possess programming experience in at least one of the following languages: Python, Java, Go, Ruby, or Bash.

**Nice to Have**

Experience in production support across virtualized and/or containerized environments particularly those employing Kubernetes for workload management.

Large-scale API development and management technologies/frameworks such as Mulesoft or Kong.

Service Mesh technology; particularly Istio & Envoy and its variations.

DevOps and Agile ways of working.

CI/CD pipeline development.

Infrastructure-as-code tools (e.g., Terraform).

Relevant certifications for Cloud Providers (e.g., AWS solutions architect associate, etc) and Kubernetes (e.g., CKA).



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