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Site Reliability Engineer

00070836261

Site Reliability Engineer

About the role

The Site Reliability Engineer will ensure highly reliable, secure and scalable application platforms by applying SRE practices on cloud native systems built on AWS, Kubernetes and Springboot microservices using Java. The role focuses on observability with Splunk, performance optimization and incident prevention for complex hybrid environments in day shift with a strong focus on continuous improvement and service resilience.

Location: Glasgow, UK
Work Arrangement: This is a fully onsite role, requiring attendance at the Glasgow office 5 days per week.


Mandatory Skills

  • Java, Springboot, Microservices, Kubernetes, Dynatrace and Splunk.
  • Certifications Required: AWS Certified SysOps Administrator or AWS Certified DevOps Engineer and Certified Kubernetes Administrator and Splunk Core Certified Power User


Additional eligibility requirements:

  • Candidates must be available to start within 4 weeks of receiving an offer.
  • Candidates must currently reside in the UK.


In this role, you will:

  • Design and implement highly available and resilient application infrastructure on AWS to ensure business critical services run reliably and efficiently across hybrid environments.
  • Optimize Kubernetes based container platforms by tuning resource usage, scaling strategies and deployment pipelines to maintain consistent performance under varying workloads.
  • Develop and enhance Springboot microservices in Java to improve reliability, modularity and fault tolerance while aligning with best practices for cloud native architectures.
  • Create and maintain SRE focused monitoring and alerting strategies using Splunk to provide deep visibility into application health, latency, errors and capacity trends.
  • Apply SRE principles such as error budgets, service level indicators and service level objectives to guide reliability decisions and balance innovation with stability.
  • Conduct detailed root cause analysis for production incidents and implement robust corrective actions to prevent recurrence and improve overall system resilience.
  • Collaborate with application engineers and platform teams to design scalable release strategies that reduce deployment risk and improve change success rates in day shift operations.
  • Automate routine operational tasks including deployments, rollbacks, configuration updates and health checks to reduce manual effort and improve consistency. -Implement capacity planning and performance testing strategies to ensure systems meet growth expectations and maintain optimal response times for end users.
  • Document runbooks, operational procedures and reliability patterns to support consistent incident response and knowledge sharing across global teams.
  • Partner with stakeholders supporting asset and wealth management processes to understand domain specific reliability needs and translate them into technical solutions.
  • Drive continuous improvement initiatives by analyzing reliability metrics, identifying bottlenecks and proposing targeted enhancements that support organizational goals.
  • Ensure security, compliance and governance requirements are integrated into SRE workflows so platforms remain protected while delivering dependable services.
  • Qualifications -Show proven experience working as a Site Reliability Engineer in complex environments for eight to twelve years with consistent focus on reliability and performance.
  • Demonstrate strong hands on expertise in AWS services such as compute, storage, networking and managed application components used to host production workloads.
  • Exhibit practical experience implementing SRE frameworks including observability, incident management, error budgets and service level definitions in large scale systems.
  • Display advanced skills using Splunk for log management, custom dashboards, alerts and analytics to support proactive detection of issues and trends.
  • Provide solid experience managing Kubernetes clusters including configuration, scaling, workload orchestration and troubleshooting in production contexts.
  • Show deep proficiency building and maintaining Springboot based microservices using Java with emphasis on modular design, resilience and maintainability.
  • Highlight any background in asset and wealth management domains where reliability and integrity of transactional systems and client facing platforms are critical.

关于高知特 (Cognizant)
高知特(Cognizant)(纳斯达克代码:CTSH)作为一家AI Builder和相关技术服务提供商,致力于通过打造全栈AI解决方案,帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长,将企业独特的业务场景融入科技系统,赋能组织释放人才潜能,推动切实成果,并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情,敬请访问 cognizant.ai 或关注@cognizant。

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