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Senior Site Reliability Engineer

1 month ago

Bloomington, United States SAS Full time
About the Role

We are seeking a highly skilled Senior Site Reliability Engineer to join our team at SAS. As a key member of our infrastructure operations team, you will play a pivotal role in ensuring the reliability, scalability, and performance of our revenue science software solutions.

Key Responsibilities
  • Collaborate closely with our development and operations teams to design, implement, and maintain highly available, scalable, and resilient software solutions, with a particular focus on data and machine learning pipelines.
  • Utilize your expertise in cloud computing and microservices architecture to enhance the reliability and performance of our data-intensive systems.
  • Engage with stakeholders to understand system requirements and ensure that our solutions meet rigorous reliability and performance standards, especially in the context of data processing and machine learning.
  • Actively participate in project scoping, scheduling, and task tracking, identifying potential reliability issues and implementing solutions to address them within our data-centric environment.
  • Implement Service Level Objectives (SLOs) and Service Level Indicators (SLIs) to measure and monitor the reliability and performance of our data and ML pipelines, ensuring that they meet agreed-upon targets.
  • Collaborate with the performance engineering team to design and implement performance regression test suites tailored to data and ML workloads, ensuring that system performance is continuously monitored and optimized in these critical areas.
  • Take ownership of the reliability and performance of our codebase, providing support to internal and external users as needed, particularly in the context of data processing and ML applications.
  • Collaborate closely with subject matter experts to gain domain-specific insights into data and ML pipelines and document system designs and configurations accordingly.
  • Utilize tools like Jira, Datadog, and GitHub to manage projects, track issues, and collaborate effectively with team members, with a focus on supporting data-intensive workflows.
  • Define success metrics and monitor system performance to ensure that our solutions meet or exceed reliability and performance targets, especially in the context of data processing and ML applications.
  • Proactively identify and address potential reliability issues before they impact system performance, with a particular emphasis on maintaining the integrity and efficiency of our data and ML pipelines.
Requirements
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Minimum of eight years of experience in software development and/or infrastructure operations.
  • Strong interpersonal skills and excellent communication abilities, with a focus on proactive relationship-building.
  • Proficiency with cloud services and architectures, particularly AWS.
  • Hands-on experience with relational databases such as SQL Server, PostgreSQL, and MySQL.
  • Understanding of web technologies and frameworks, with experience in Angular being a plus.
  • Experience with performance monitoring and optimization tools like Datadog.
  • Proficiency in version control systems like Git/GitHub.
  • Experience with infrastructure as code tools like Terraform.
  • Knowledge of agile methodologies and best practices in software development and operations.
About SAS

SAS is a global leader in analytics and AI, with a rich culture of creative collaboration and professional growth. We are passionate about empowering our customers to make better decisions and drive business success. As a member of our team, you will have the opportunity to work with cutting-edge technology and collaborate with talented professionals from around the world.

We are committed to creating an inclusive environment where diverse perspectives spark innovation and meet the challenges of an evolving world. Whether you're launching a new career or expanding your current one, SAS is a company where you can balance great work with all other aspects of your life.