Senior DevOps Engineer

Bitsight is a cyber risk management leader transforming how companies manage exposure, performance, and risk for themselves and their third parties. Companies rely on Bitsight to prioritize their cybersecurity investments, build greater trust within their ecosystem, and reduce their chances of financial loss. Built on over a decade of technological innovation, its integrated solutions deliver value across enterprise security performance, digital supply chains, cyber insurance, and data analysis. We invented the cyber ratings industry in 2011 Over 3500 customers trust Bitsight Over 600 teammates are dispersed throughout Boston, Raleigh, New York, Lisbon, Singapore, and remote Job Title: Senior DevOps Engineer Location: Remote - US - Eastern Time Zone Only Bitsight is the global leader in cyber risk intelligence, leveraging advanced AI to empower organizations with precise insights derived from the industry’s most extensive external cybersecurity dataset. From security operations and governance teams to executive boardrooms, Bitsight provides the unified intelligence backbone required for confidently managing cyber risk and addressing exposures before they impact performance. About the Role: We are looking for an experienced, highly adaptable team player to join our multicultural DevOps team. In this role, you will be part of our Platform Engineering function, which is dedicated to streamlining and automating development and operations processes to ensure faster, more efficient, and more reliable software delivery. Development and DevOps are viewed as one engineering team at Bitsight, there are no silos, and we work together to deliver business value. What You'll Do : As a Senior DevOps Engineer, you will be expected to act as a technical reference and strategic leader for the team. Your responsibilities will include: Infrastructure & Operations: Operate, scale, and troubleshoot BitSight’s SaaS cloud infrastructure with a focus on reliability, efficiency, and security. Provide occasional off-shift availability for production issues or maintenance. System Design & Problem Solving: Tackle complex, system-level designs that affect multiple components, while proactively anticipating localized performance and scalability issues before they arise. AI Enablement & Automation: Pioneer self-optimizing infrastructure systems and leverage AI to accelerate feature delivery. Ensure operational quality by treating AI-assisted infrastructure automation as a strict systems challenge that requires manual and staging validation before production deployment. Actively manage the costs and ROI of AI-driven systems. Collaboration & Impact: Act as an enabler of team efficiency by breaking down complex problems into optimized parallel work streams. Propose creative solutions, lead design-level discussions, and provide technical advice that impacts multiple teams. Leadership & Mentorship: Drive the organizational best practices for…