
About ScienceLogic
Transforming IT operations with intelligent monitoring solutions
Key Highlights
- Headquartered in Reston, Virginia, with a global presence
- Over 1,000 enterprise customers, including Fortune 500 companies
- Flagship product: ScienceLogic EM7 for hybrid IT observability
- Approximately 500 employees dedicated to IT management solutions
ScienceLogic, headquartered in Reston, Virginia, specializes in IT operations management and cloud monitoring solutions. Their flagship product, ScienceLogic EM7, provides comprehensive observability across hybrid IT environments, serving over 1,000 customers including Fortune 500 companies. With a ...
🎁 Benefits
ScienceLogic offers competitive salaries, equity options, generous PTO, and a flexible remote work policy to support work-life balance. Employees also...
🌟 Culture
ScienceLogic fosters a culture of innovation and collaboration, emphasizing a strong engineering focus and a commitment to customer success. The compa...

Site Reliability Engineer • Senior
ScienceLogic • Reston - Remote
Skills & Technologies
Overview
ScienceLogic is hiring a Senior Site Reliability Engineer to lead the design and buildout of secure systems for their AIOps platform. You'll work with cloud technologies and automation to ensure high availability and performance. This role requires expertise in AWS, Docker, and Kubernetes.
Job Description
Who you are
You have a strong background in Site Reliability Engineering with a focus on building secure cloud technologies. Your automation mindset drives you to create efficient systems that enhance operational performance. You are an ardent follower of the SRE discipline, ensuring that systems are self-healing and self-optimizing.
With 5+ years of experience in the field, you have a proven track record of designing and implementing cloud-native solutions. You are comfortable working in hybrid and multi-cloud environments, and you understand the importance of maintaining 99.99% uptime for critical services.
You possess excellent problem-solving skills and are adept at investigating and resolving operational issues. Your experience with automation tools and frameworks allows you to streamline workflows and improve system reliability. You thrive in collaborative environments and enjoy working closely with cross-functional teams to achieve business outcomes.
Desirable
Experience with Artificial Intelligence products and SaaS platforms is a plus. Familiarity with monitoring and alerting tools will help you excel in this role. You are passionate about leveraging AI and analytics to drive digital transformation in IT operations.
What you'll do
In this role, you will lead design reviews and oversee the buildout of secure systems for delivering new AI products in a SaaS environment. You will spend a significant portion of your time on forward-looking priorities, focusing on designing and building robust SaaS systems while also supporting the operations and maintenance of existing infrastructure.
Your responsibilities will include automating the deployment and monitoring of cloud-native technologies, ensuring that systems are resilient and scalable. You will collaborate with engineering teams to implement best practices in security and performance optimization.
You will also investigate customer and operational issues, adopting a mindset of fixing problems rather than just addressing symptoms. Your contributions will directly impact the efficiency and effectiveness of IT operations, enabling organizations to achieve superior customer experiences.
What we offer
ScienceLogic provides a dynamic work environment where innovation is encouraged. You will have the opportunity to work with cutting-edge technologies and contribute to the development of solutions that redefine IT operations. We offer competitive compensation and benefits, along with a culture that values collaboration and continuous learning.
Join us in our mission to empower organizations through automation and AI, and help shape the future of IT operations. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.
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