Sr Site Reliability Engineer

Renishaw
Full_time•Alpharetta, United States

📍 Job Overview

  • Job Title: Sr Site Reliability Engineer
  • Company: Renishaw
  • Location: Alpharetta, Georgia, United States
  • Job Type: On-site
  • Category: DevOps, Site Reliability Engineering
  • Date Posted: 2025-08-02

🚀 Role Summary

  • Key Responsibilities: Develop and implement Azure application infrastructure as code, collaborate with data scientists and teams, troubleshoot incidents, and educate on new cloud-based initiatives.
  • Key Skills: Cloud Architecture, Azure, Infrastructure as Code, Data Virtualization, CI/CD, Automation, Scripting, Data Storage Technologies, Performance Tuning, Problem Solving, Collaboration, Technical Consulting, Security Procedures, Documentation, Cloud Networking, GitHub Actions.

📝 Enhancement Note: This role requires a strong background in cloud architecture, particularly with Azure, and a solid understanding of infrastructure as code, data virtualization, and CI/CD pipelines. The ideal candidate will have experience working with data scientists and collaborating with cross-functional teams to deliver robust, scalable, and secure cloud solutions.

💻 Primary Responsibilities

  • Cloud Infrastructure Development: Develop and implement Azure application infrastructure as code to support large-scale data processing, data virtualization technology, and advanced analytics.
  • Collaboration with Data Scientists: Translate requirements from technical and non-technical data scientists to appropriate cloud engineering requirements.
  • Data Storage and Connectivity: Interact with data storage technologies such as relational databases, NoSQL, and data lakes. Deploy cloud-based technologies such as data mesh, data catalog, and automatic governance systems. Connect systems to remote data warehouses for data extraction using API and JDBC Connectors.
  • Automation and Workflow Development: Design and develop workflows to automate the deployment of applications and infrastructure environments. Apply engineering rigor and best practices to machine learning, including CI/CD, automation, etc.
  • Incident Management: Troubleshoot incidents, identify root causes, fix and document problems, implement preventive measures. Collaboratively interface with teams to understand technology strategy, including new applications being authored, and backlog of enhancements to existing applications.
  • Education and Consulting: Educate teams on the implementation of new cloud-based initiatives, providing associated training. Consulting and providing expertise on technical solution options, and contributing to decision-making discussions in areas such as serverless computing, containerized workloads, and big data. Remaining up-to-date on internal and industry-wide best practices related to those solutions. Evangelizing best practices for cloud architecture and the key pillars of cloud application operations.
  • Infrastructure as Code and Resilience: Developing and ensuring delivery of resilient infrastructure designs using Infrastructure-as-Code. Performing knowledge transfer for SRE, Application and Support team resources when needed. Diagnosing and resolving potentially complex infrastructure, integration, and application issues. Improving standardization and automation within maturing processes to enhance efficiency. Performance testing and tuning to ensure production workloads are supported. Understanding and implementing defensive, detective and corrective controls. Assisting in the development and/or implementation of comprehensive information security procedures and practices to reduce attack surfaces and comply with best practices.

🎓 Skills & Qualifications

Education: Bachelor's degree in Computer Science, Engineering, or a related field. Relevant certifications (e.g., Microsoft Certified: Azure Solutions Architect Expert) are a plus.

Experience: 5-10 years of experience in cloud architecture design and implementation, with a strong focus on Azure. Proven expertise in infrastructure as code, data virtualization, and CI/CD pipelines.

Required Skills:

  • Cloud Architecture (Azure)
  • Infrastructure as Code (Terraform)
  • Data Virtualization
  • CI/CD (GitHub Actions)
  • Scripting (PowerShell, Bash)
  • Data Storage Technologies (Azure Blob, Table, File, Queues, and Services)
  • Performance Tuning
  • Problem Solving
  • Collaboration
  • Technical Consulting
  • Security Procedures
  • Documentation
  • Cloud Networking (Azure Networking, IaaS in Azure, Microsoft Entra ID)
  • Data Mesh, Data Catalog, Automatic Governance Systems

Preferred Skills:

  • Performance Analysis and Tuning
  • Hashicorp Vault
  • Jira
  • Serverless Computing, Containerized Workloads, Big Data

📝 Enhancement Note: The ideal candidate will have a strong background in cloud architecture, particularly with Azure, and a solid understanding of infrastructure as code, data virtualization, and CI/CD pipelines. Experience working with data scientists and collaborating with cross-functional teams to deliver robust, scalable, and secure cloud solutions is highly desirable.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

  • Cloud Architecture Projects: Highlight your experience in designing and implementing cloud architectures, with a focus on Azure. Include case studies demonstrating your ability to translate data scientist requirements into appropriate cloud engineering solutions.
  • Infrastructure as Code: Showcase your proficiency in infrastructure as code, preferably with Terraform. Include examples of automated deployment workflows and resilient infrastructure designs.
  • Data Virtualization and Storage: Demonstrate your expertise in data virtualization technologies and cloud storage solutions. Include examples of data mesh, data catalog, and automatic governance systems implementations.
  • CI/CD and Automation: Highlight your experience with CI/CD pipelines and automation tools, such as GitHub Actions. Include examples of automated deployment and testing processes.

Technical Documentation:

  • Code Quality: Showcase your commitment to code quality, commenting, and documentation standards. Include examples of well-documented code and clear, concise comments.
  • Version Control and Deployment Processes: Demonstrate your understanding of version control systems, deployment processes, and server configuration. Include examples of branching strategies, pull request processes, and deployment automation.
  • Testing Methodologies: Highlight your experience with various testing methodologies, performance metrics, and optimization techniques. Include examples of load testing, performance profiling, and optimization strategies.

📝 Enhancement Note: The portfolio should emphasize your cloud architecture expertise, with a focus on Azure. Include case studies demonstrating your ability to work with data scientists, collaborate with cross-functional teams, and deliver robust, scalable, and secure cloud solutions.

💵 Compensation & Benefits

Salary Range: $120,000 - $160,000 per year (based on experience and location)

Benefits:

  • Comprehensive health, dental, and vision insurance
  • Retirement savings plan with company match
  • Paid time off and holidays
  • Employee assistance program
  • Tuition reimbursement and professional development opportunities
  • On-site cafeteria and fitness center
  • Employee discounts and wellness programs

Working Hours: Full-time, 40 hours per week, with flexible working hours and remote work options available.

📝 Enhancement Note: The salary range is estimated based on market research for similar roles in the Alpharetta, Georgia area. The benefits package is comprehensive and competitive, with a focus on work-life balance and employee well-being.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, specifically focused on data science and machine learning operations.

Company Size: Medium-sized company with a collaborative and forward-thinking team environment.

Founded: 1973 (as Renishaw plc, with the Alpharetta office established in 2001)

Team Structure:

  • The team builds the cloud infrastructure that powers the company's data science and machine learning operations capability.
  • The team consists of cloud engineers, data scientists, and other technical professionals working collaboratively to deliver robust, scalable, and secure cloud solutions.
  • The team follows Agile methodologies, with a focus on continuous improvement and innovation.

Development Methodology:

  • The team follows Agile/Scrum methodologies, with a focus on continuous improvement and innovation.
  • The team uses GitHub for version control, GitHub Actions for CI/CD pipelines, and Azure DevOps for project management and collaboration.
  • The team emphasizes code review, testing, and quality assurance practices to ensure the delivery of high-quality, reliable, and secure cloud solutions.

Company Website: Renishaw plc

📝 Enhancement Note: The company culture emphasizes collaboration, innovation, and continuous improvement. The team structure fosters cross-functional collaboration and knowledge sharing, with a focus on delivering robust, scalable, and secure cloud solutions.

📈 Career & Growth Analysis

Web Technology Career Level: Senior Site Reliability Engineer, responsible for designing, implementing, and managing cloud infrastructure to support large-scale data processing, data virtualization technology, and advanced analytics. This role requires a strong background in cloud architecture, particularly with Azure, and a solid understanding of infrastructure as code, data virtualization, and CI/CD pipelines.

Reporting Structure: The role reports directly to the Manager of Cloud Infrastructure and collaborates with data scientists, cloud engineers, and other technical professionals to deliver robust, scalable, and secure cloud solutions.

Technical Impact: The role has a significant impact on the company's data science and machine learning operations capability. The successful candidate will be responsible for designing and implementing cloud infrastructure that supports large-scale data processing, data virtualization technology, and advanced analytics. The role requires strong problem-solving skills, with an ability to see and solve issues before they affect business productivity.

Growth Opportunities:

  • Technical Leadership: The role offers opportunities for technical leadership, with the potential to mentor junior team members and contribute to decision-making discussions on cloud architecture and operations.
  • Emerging Technology Adoption: The role provides exposure to emerging cloud technologies, with opportunities to research and implement new technology patterns and frameworks.
  • Career Progression: The role offers opportunities for career progression, with the potential to take on more significant responsibilities or move into a management role.

📝 Enhancement Note: The role offers significant opportunities for technical growth and leadership, with a focus on cloud architecture, infrastructure as code, and data virtualization. The role requires strong problem-solving skills and a commitment to continuous learning and improvement.

🌐 Work Environment

Office Type: On-site office with a collaborative and forward-thinking team environment.

Office Location(s): Alpharetta, Georgia, United States

Workspace Context:

  • The office features an open-concept workspace with collaborative areas, meeting rooms, and private offices.
  • The team uses modern hardware and software tools, with a focus on cloud-based solutions and remote access.
  • The office offers on-site amenities, including a cafeteria and fitness center, to support work-life balance.

Work Schedule:

  • The work schedule is full-time, with flexible working hours and remote work options available.
  • The team follows a hybrid work model, with a mix of on-site and remote work arrangements to support collaboration and productivity.
  • The team uses a combination of asynchronous and synchronous communication tools to facilitate collaboration and communication.

📝 Enhancement Note: The work environment emphasizes collaboration, innovation, and continuous improvement. The office features an open-concept workspace with collaborative areas, meeting rooms, and private offices. The team uses modern hardware and software tools, with a focus on cloud-based solutions and remote access.

🛠 Technology Stack & Web Infrastructure

Cloud Platform: Azure, with a focus on Infrastructure as Code (Terraform) and cloud networking (Azure Networking, IaaS in Azure, Microsoft Entra ID).

Data Storage Technologies: Azure Blob, Table, File, Queues, and Services, with experience in data mesh, data catalog, and automatic governance systems.

CI/CD and Automation: GitHub Actions for CI/CD pipelines, with a focus on automation, scripting (PowerShell, Bash), and performance tuning.

Collaboration and Project Management: GitHub for version control, Azure DevOps for project management, and Microsoft 365 for communication and collaboration.

Monitoring and Logging: Azure Monitor and Log Analytics for cloud monitoring and logging, with a focus on performance optimization and incident management.

📝 Enhancement Note: The technology stack emphasizes cloud architecture, infrastructure as code, and data virtualization. The team uses modern hardware and software tools, with a focus on cloud-based solutions and remote access.

👥 Team Culture & Values

Web Development Values:

  • Innovation: The team values innovation and continuous improvement, with a focus on delivering robust, scalable, and secure cloud solutions.
  • Collaboration: The team values collaboration and cross-functional teamwork, with a focus on knowledge sharing and learning from one another.
  • Quality: The team values quality and attention to detail, with a focus on delivering high-quality, reliable, and secure cloud solutions.
  • Customer Focus: The team values a customer-focused approach, with a commitment to understanding and addressing the needs of data scientists and other internal customers.

Collaboration Style:

  • Cross-Functional Integration: The team emphasizes cross-functional integration between cloud engineers, data scientists, and other technical professionals.
  • Code Review Culture: The team follows a code review culture, with a focus on peer programming, knowledge sharing, and continuous learning.
  • Knowledge Sharing: The team values knowledge sharing and mentoring, with a focus on supporting the professional development of junior team members.

📝 Enhancement Note: The team culture emphasizes collaboration, innovation, and continuous improvement. The team values cross-functional integration, code review culture, and knowledge sharing, with a focus on supporting the professional development of junior team members.

⚡ Challenges & Growth Opportunities

Technical Challenges:

  • Cloud Architecture Complexity: Designing and implementing cloud architectures that support large-scale data processing, data virtualization technology, and advanced analytics can be complex and challenging.
  • Emerging Technologies: Keeping up-to-date with emerging cloud technologies and implementing new technology patterns and frameworks can be challenging and time-consuming.
  • Performance Optimization: Optimizing cloud infrastructure for performance and scalability can be challenging, requiring a deep understanding of cloud networking, data storage, and application architecture.

Learning & Development Opportunities:

  • Cloud Architecture Specialization: The role offers opportunities to specialize in cloud architecture, with a focus on Azure and infrastructure as code.
  • Emerging Technology Adoption: The role provides exposure to emerging cloud technologies, with opportunities to research and implement new technology patterns and frameworks.
  • Technical Leadership: The role offers opportunities for technical leadership, with the potential to mentor junior team members and contribute to decision-making discussions on cloud architecture and operations.

📝 Enhancement Note: The role offers significant opportunities for technical growth and leadership, with a focus on cloud architecture, infrastructure as code, and data virtualization. The role requires strong problem-solving skills and a commitment to continuous learning and improvement.

💡 Interview Preparation

Technical Questions:

  • Cloud Architecture: Demonstrate your expertise in cloud architecture design and implementation, with a focus on Azure. Include examples of cloud architecture patterns, best practices, and real-world implementations.
  • Infrastructure as Code: Showcase your proficiency in infrastructure as code, preferably with Terraform. Include examples of automated deployment workflows, resilient infrastructure designs, and version control strategies.
  • Data Virtualization and Storage: Demonstrate your expertise in data virtualization technologies and cloud storage solutions. Include examples of data mesh, data catalog, and automatic governance systems implementations, as well as data modeling, ETL, and data transformation techniques.
  • CI/CD and Automation: Highlight your experience with CI/CD pipelines and automation tools, such as GitHub Actions. Include examples of automated deployment and testing processes, as well as continuous integration, continuous delivery, and continuous deployment strategies.
  • Problem Solving: Demonstrate your strong problem-solving skills, with an ability to see and solve issues before they affect business productivity. Include examples of root cause analysis, incident management, and preventive measures.

Company & Culture Questions:

  • Team Dynamics: Demonstrate your understanding of team dynamics, with a focus on collaboration, knowledge sharing, and continuous learning. Include examples of cross-functional teamwork, code review culture, and mentoring opportunities.
  • Company Culture: Showcase your understanding of the company culture, with a focus on innovation, customer focus, and quality. Include examples of how you have contributed to a positive work environment in previous roles.
  • Customer Focus: Demonstrate your commitment to understanding and addressing the needs of data scientists and other internal customers. Include examples of how you have worked with customers to deliver robust, scalable, and secure cloud solutions in previous roles.

Portfolio Presentation Strategy:

  • Cloud Architecture Projects: Highlight your experience in designing and implementing cloud architectures, with a focus on Azure. Include case studies demonstrating your ability to work with data scientists, collaborate with cross-functional teams, and deliver robust, scalable, and secure cloud solutions.
  • Infrastructure as Code: Showcase your proficiency in infrastructure as code, preferably with Terraform. Include examples of automated deployment workflows, resilient infrastructure designs, and version control strategies.
  • Data Virtualization and Storage: Demonstrate your expertise in data virtualization technologies and cloud storage solutions. Include examples of data mesh, data catalog, and automatic governance systems implementations, as well as data modeling, ETL, and data transformation techniques.
  • CI/CD and Automation: Highlight your experience with CI/CD pipelines and automation tools, such as GitHub Actions. Include examples of automated deployment and testing processes, as well as continuous integration, continuous delivery, and continuous deployment strategies.
  • Problem Solving: Demonstrate your strong problem-solving skills, with an ability to see and solve issues before they affect business productivity. Include examples of root cause analysis, incident management, and preventive measures.

📝 Enhancement Note: The interview process focuses on assessing your technical expertise in cloud architecture, infrastructure as code, and data virtualization, as well as your ability to work collaboratively with data scientists and other internal customers. The company values innovation, customer focus, and quality, with a commitment to delivering robust, scalable, and secure cloud solutions.

📌 Application Steps

To apply for this Sr Site Reliability Engineer position:

  1. Update Your Portfolio: Customize your portfolio with live demos and responsive examples, highlighting your experience in cloud architecture, infrastructure as code, and data virtualization. Include case studies demonstrating your ability to work with data scientists, collaborate with cross-functional teams, and deliver robust, scalable, and secure cloud solutions.
  2. Optimize Your Resume: Tailor your resume to emphasize your technical skills and project highlights, with a focus on cloud architecture, infrastructure as code, and data virtualization. Include relevant keywords and phrases to improve search visibility and relevance.
  3. Prepare for Technical Challenges: Familiarize yourself with the company's technology stack, including Azure, Terraform, and GitHub Actions. Practice coding challenges and portfolio presentation strategies, with a focus on cloud architecture, infrastructure as code, and data virtualization.
  4. Research the Company: Learn about the company's culture, values, and mission. Understand the team structure, development methodology, and work environment. Prepare questions to ask during the interview, demonstrating your interest in the role and the company.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and web development/server administration industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

Application Requirements

Candidates should have experience in cloud architecture design and implementation, particularly with Azure and Terraform. Strong problem-solving skills and the ability to translate technical requirements from data scientists are essential.