Join our dynamic Engineering team as a Senior Consultant, specializing in GCP Site Reliability Engineering (SRE). You will be instrumental in managing and scaling mission-critical, production-grade distributed systems on Google Cloud Platform (GCP).

This role emphasizes reliability, automation, observability, and operational excellence to enhance system availability and minimize manual effort. You'll actively participate in maintaining high uptime and managing the lifecycle of vital services within a 24x7 operational framework. This is an exciting opportunity to leverage innovation and drive improvements in financial performance and digital business growth.

Focus on ensuring system stability and performance for distributed systems on GCP, actively participating in the incident management lifecycle for troubleshooting and resolution.

Implement and manage operational metrics, including SLIs, SLOs, and SLAs, to guarantee service reliability. Drive measurable improvements in Mean Time To Recover (MTTR) and Mean Time To Acknowledge (MTTA) through strategic automation and the development of operational runbooks.

Deploy and manage cloud infrastructure on GCP using Infrastructure as Code (IaC) with Terraform. Work with core GCP services like BigQuery, Pub/Sub, and cloud logging/metrics. Orchestrate containerized workloads using Kubernetes (GKE) and Docker, and manage deployments with Helm and YAML.

Maintain and enhance CI/CD pipelines using Jenkins, leveraging Groovy, Shell, or Python scripting. Develop automation scripts to streamline repetitive tasks and improve operational efficiency. Utilize GitHub for version control and collaborative development.

Implement and manage monitoring systems like Dynatrace and Grafana, and utilize cloud-native tools for logging and metrics. Proactively identify and address potential issues before they impact users by analyzing logs, metrics, and traces.

A Bachelor's degree in Engineering is required for this position.

Possess 3-6 years of progressive experience in SRE, DevOps, or Cloud Engineering, with significant hands-on experience managing production-grade systems.

Demonstrate strong expertise in GCP services (GKE, VPC, IAM, Load Balancing, KMS, BigQuery, Pub/Sub) and Infrastructure as Code (IaC) using Terraform. Deep expertise in Kubernetes (GKE) and Docker is essential, alongside robust troubleshooting capabilities.

Proficiency in CI/CD tools like Jenkins and version control with GitHub is required. Strong scripting skills in Python (preferred) and Shell are crucial, complemented by solid Linux fundamentals and TCP/IP networking knowledge.

Familiarity with Java and/or Golang applications is beneficial. Understanding of SLI, SLO, SLA, and Error Budgets, along with experience in the incident management lifecycle, is expected. A strong analytical and troubleshooting mindset, ownership-driven approach, and the ability to perform under pressure in production environments are key attributes.