Assistant Manager, Cloud SysOps & SRE Automation
Indexed description
Job Purpose
Site Reliability Engineering (SRE) practices to design, build, and operate scalable, secure, automated, and highly reliable platforms across cloud and on-premises environments. This role drives operational excellence, platform automation, observability, and production reliability to support mission-critical banking services and digital transformation initiatives.
Key Responsibilities
- Design, build, and operate scalable, secure, and highly available application platforms across GCP and on-premises environments.
- Site Reliability Engineering initiatives through Infrastructure as Code (IaC), automation, cloud-native engineering, and reliability best practices.
- Design and develop automation frameworks and engineering platforms for infrastructure provisioning, deployment orchestration, scaling, observability, and operational reliability using tools such as Terraform, Ansible, Helm.
- Optimize Kubernetes platforms, cloud architecture, deployment workflows, and operational processes to improve scalability, reliability, performance, operational efficiency, and cost optimization.
- Define and manage SLIs/SLOs, observability standards, reliability metrics, telemetry, alerting strategies, and operational governance to ensure production stability and service reliability.
- Design and enhance enterprise observability capabilities including metrics, logging, tracing, monitoring dashboards, and incident visibility using Prometheus, Grafana, and cloud-native observability solutions.
- Lead incident response, root cause analysis (RCA), post-incident reviews, resilience validation, disaster recovery exercises, and continuous operational improvement initiatives.
- Perform capacity planning, performance optimization, and reliability engineering to ensure high availability and minimal downtime for mission-critical banking services.
- Collaborate with development, security, architecture, and engineering teams to strengthen platform reliability, deployment consistency, security compliance, and operational excellence.
- Drive a culture of automation, reliability, accountability, continuous improvement, and engineering excellence across the organization.
Job Requirements:
- Bachelor's Degree in the relevant discipline (Software Engineering/Computer Science/ etc.)
- Minimum with at least 4 years of experience as Cloud Architect (GCP, AWS) , and at least 2 years of site reliability engineering experience
- Strong hands-on experience in Kubernetes platforms, Infrastructure as Code (IaC), and cloud-native technologies.
- Practical experience in Site Reliability Engineering (SRE), observability, incident management, and production operations.
- Minimum 2 years of experience in developer roles.
- Experience in banking or financial services environments is highly preferred.
- Relevant certifications such as Google Professional Cloud Architect, AWS Solutions Architect, Certified Kubernetes Administrator (CKA), or Terraform Associate are an advantage.
Technical/Functional skills
- Strong expertise in cloud platforms (GCP, AWS),
- Strong expertise in container platforms such as: Kubernetes, docker.
- Hands-on experience with automation and DevOps tools such as Jenkins, AWX, Gitlab.
- Strong knowledge of CI/CD pipelines, Infrastructure as Code (IaC), GitOps workflows, Database-Ops.
- Expertise in monitoring, logging, and observability platforms including Victoria metrics, Grafana, and cloud-native monitoring tools.
- Good understanding of:
- Site Reliability Engineering (SRE)
- High availability architecture
- Incident management
- Disaster recovery
- Capacity planning
- Performance optimization
- Operational excellence and production reliability
Personal skills
- Strong analytical thinking and problem-solving capabilities.
- Passionate about modern technology, automation, reliability engineering, and digital transformation in banking.
- Result-oriented with strong ownership and accountability mindset.
Open-minded, collaborative, and committed to continuous improvement and knowledge sharing.
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