SRE Leader with AI Experience

Talent Vista Inc.

United States

4 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

10 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Java (Programming Language) Agile Methodology Artificial Intelligence Amazon Web Services Applications Architecture Application Lifecycle Management Application Performance Management Business Process Modeling DevOps Spring Framework Newrelic Software Engineering

+11 more

Datadog Cloudbees Cloud Platform System Grafana Software Application Programming Information Technology Presto Splunk Dynatrace Jenkins Microservices

Job description

Collaborate with cross-functional teams to design, develop, test and deploy scalable, reliable, and high-performance applications.
Implement best practices for application design, testing, deployment, monitoring, and maintenance to ensure optimal performance and availability.
Develop automation tools and scripts to streamline processes and improve efficiency in application lifecycle management.
Conduct thorough analysis of application performance metrics and system health to identify areas for optimization and enhancement.
Proactively identify and address potential issues and bottlenecks in the application architecture to prevent downtime and service disruptions.
Stay updated on emerging technologies and industry trends to drive continuous improvement and innovation in application design and development practices.
Familiarity with Agile methodologies and DevOps practices

Requirements

(Experience, Qualification, Knowledge & Skills)

10 + years of IT experience with Java Web/Enterprise projects
Good Understanding of Runtime Support and Application Development lifecycle
Good understanding about the Concepts / Design for reliability (i.e. Automation, Scaling, Auto Recovery, Redundancy, Availability)
Should have a good understanding of App/Infra capacity planning, SLA/SLOs
Strong proficiency in programming languages such as Java, sprint boot, microservices and Java Frameworks
Solid understanding of AWS cloud computing platforms, AWS Certification preferred.
Proficiency in implementing and maintaining CI/CD pipelines (preferred Cloudbees / Jenkins)
Excellent understanding on APM/ observability tools like NewRelic/ Datadog/ Dynatrace, Splunk etc.
Hands on with PCF - App-Pilot & Presto
Should have skills to doing POCs and reflect POC to enterprise scale
Excellent problem-solving skills and attention to detail.
Good understanding of AI technologies
Knowledge and experience on the Gen AI tools and technology like GHCP, claud, AWS bedrock
focuses on reliability, scalability, and performance of large-scale
Strong communication and collaboration skills