Site Reliability Engineer II
Role details
Job location
Tech stack
Job description
CI/CD Splunk Ansible Grafana NeoLoad Planning Scripting Terraform DevSecOps Dynatrace Pipelines Operations Leadership Automation Kubernetes ServiceNow SAFe Agile AWS Devops Scalability Reliability Excel Solver Self-Starter Communication Microservices Observability Service Level Apache JMeter Time Management Version Control Microsoft Azure Problem Solving Containerization Agile Methodology Docker (Software) Incident Response System Monitoring Chaos Engineering Knowledge Transfer Business Valuation AWS CloudFormation WildFly (JBoss AS) Amazon Web Services Performance Testing Software Engineering Software Development Systems Architecture Linux Administration Programming Languages Emerging Technologies Prometheus (Software) Full Stack Development Operational Efficiency IT Capacity Management Reliability Engineering Artificial Intelligence Business Transformation Performance Engineering Availability Monitoring C (Programming Language) Service Level Objectives Bash (Scripting Language) Go (Programming Language) C++ (Programming Language) Java (Programming Language) Perl (Programming Language) Site Reliability Engineering Infrastructure as Code (IaC) Python (Programming Language) Healthcare Industry Knowledge Security Requirements Analysis Continuous Improvement Process HyperText Markup Language (HTML) JavaScript (Programming Language), As a Site Reliability Engineer II, your role is to provide reliability engineering services through observability and performance engineering techniques. Using monitoring and performance tools to deliver detailed feedback to product owners and development teams. You will partner with Product Owners to define service level objectives and develop service level indicators. Collaborate with cross-functional teams to design, build, automate, and maintain scalable infrastructure. Your responsibilities will include ensuring high availability, monitoring system performance, and aiding support staff with resolving incidents. This role requires a strong background in scripting, cloud platforms, and a passion for optimizing operational efficiency. You will use Site Reliability Engineering practices to deliver a seamless user experience.
Responsibilities:
System Monitoring and Analysis:
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Implement and maintain robust observability solutions to monitor system performance, identifying bottlenecks, and ensuring optimal operation.
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Utilize tools to gather, analyze, and visualize key performance metrics.
Performance Optimization:
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Proactively identify and address performance bottlenecks through in-depth analysis and optimization strategies.
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Work closely with development teams to implement performance improvements and enhance overall system efficiency.
Capacity Planning:
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Conduct capacity planning exercises based on observed patterns and future growth projections.
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Collaborate with infrastructure and development teams to ensure adequate resources are available to meet system demands.
Automation and Scripting:
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Develop and maintain automation scripts for routine tasks, enabling efficient monitoring and response procedures.
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Implement automated processes for scaling and provisioning resources based on observed workload patterns.
Documentation:
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Document system architecture, configurations, and observability best practices to facilitate knowledge transfer and onboarding for team members.
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Keep documentation up-to-date to reflect changes in the system and its monitoring setup.
Collaboration with Development Teams:
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Work closely with software engineers to integrate observability tools into the development lifecycle.
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Provide guidance on building observable systems and assist in instrumenting applications for effective monitoring.
Continuous Improvement:
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Stay informed about industry best practices and emerging technologies related to observability and performance engineering.
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Drive continuous improvement initiatives to enhance the reliability and performance of systems.
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Security and Compliance:
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Collaborate with security teams to implement monitoring and observability measures that align with security requirements and compliance standards.
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Participate in security incident response activities and contribute to ongoing security assessments.
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Training and Knowledge Sharing:
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Conduct training sessions for team members and other stakeholders on observability tools, best practices, and performance engineering concepts.
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Foster a culture of knowledge sharing within the organization.
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And other duties as assigned.
For all roles the preference would be for candidates to sit hybrid out of either our Schaumburg, IL or Secaucus, NJ office, but we are open to candidates that would be 100% remote as well if they do not live locally to either of those locations!, CI/CD Splunk Ansible Grafana NeoLoad Planning Scripting Terraform DevSecOps Dynatrace Pipelines Operations Leadership Automation Kubernetes ServiceNow SAFe Agile AWS Devops Scalability Reliability Excel Solver Self-Starter Communication Microservices Observability Service Level Apache JMeter Time Management Version Control Microsoft Azure Problem Solving Containerization Agile Methodology Docker (Software) Incident Response System Monitoring Chaos Engineering Knowledge Transfer Business Valuation AWS CloudFormation WildFly (JBoss AS) Amazon Web Services Performance Testing Software Engineering Software Development Systems Architecture Linux Administration Programming Languages Emerging Technologies Prometheus (Software) Full Stack Development Operational Efficiency IT Capacity Management Reliability Engineering Artificial Intelligence Business Transformation Performance Engineering Availability Monitoring C (Programming Language) Service Level Objectives Bash (Scripting Language) Go (Programming Language) C++ (Programming Language) Java (Programming Language) Perl (Programming Language) Site Reliability Engineering Infrastructure as Code (IaC) Python (Programming Language) Healthcare Industry Knowledge Security Requirements Analysis Continuous Improvement Process HyperText Markup Language (HTML) JavaScript (Programming Language) +0
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Requirements
Performance Engineering, cloud, Required Work Experience:
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4+ years of experience with multiple APM tools and extensive experience with Dynatrace
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3+ years SRE experience
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Experience in software development, infrastructure, or operations roles
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Certifications in relevant technologies (e.g. AWS, DevOps, Kubernetes, Dynatrace, Azure, etc.)
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Working experience building CI/CD pipelines and version control systems
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Working experience with scripting languages (e.g. Python, Bash, Go, etc.)
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Excellent problem-solving and communication skills.
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Ability to work collaboratively in a fast-paced, agile environment.
Preferred Work Experience:
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Working experience with Neoload, Jmeter or equivalent performance testing tool.
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Experience executing software load and performance testing in an enterprise environment.
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Experience testing applications hosted in the cloud.
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Experience with infrastructure as code tools such as Terraform or CloudFormation.
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Deep understanding of Linux systems administration and networking principles.
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Experience with containerization and orchestration technologies such as Docker and Kubernetes.
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Experience or familiarity with IIS, HTML, Java, Jboss.
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Experience in Chaos Engineering
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Programming experience using.NET, C, C++, Java, or other popular programming languages. Perl/Python/JavaScript scripting experience may be considered equivalent.
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Terraform and Ansible experience.
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Exposure to Splunk tools.
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Exposure to microservices.
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Dynatrace Certifications
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AWS/Azure/GCP Certifications
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Chaos Engineering Certifications
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Agile Certifications
Knowledge:
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Site Reliability Engineering Principles
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DevSecOps Principles
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Agile (SAFe)
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Healthcare industry
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ITLT
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ServiceNow
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Jira/Confluence
Skills:
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Dynatrace/Prometheus/Grafana
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Neoload/Jmeter
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Splunk
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AWS/Azure/GCP
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SAFe Agile
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Strong communication skills (written/verbal)
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Time management
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Analytic problem solver
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Self-starter
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Result oriented and proven ability in organizing priorities