Senior Software Engineer, Incident Lifecycle

In this senior engineering role, you will help build and improve the systems and workflows that enable organizations to prepare for, manage, and learn from critical technology incidents. You will design and deliver scalable software solutions that strengthen operational resilience, improve service reliability, and support effective incident coordination. Working within a collaborative, distributed engineering team, you will develop AI-powered agents and intelligent workflows that connect production and observability tools to accelerate investigations and automate routine tasks. You will take ownership of projects from identifying operational challenges through implementation, deployment, and ongoing optimization. Partnering with engineering teams and business stakeholders, you will influence technical direction and drive improvements across incident management processes. This is an opportunity to combine software engineering, cloud infrastructure, and emerging AI technologies to make critical systems more reliable and resilient.

• At least 6 years of professional experience in software engineering, computer science, or a related technical discipline, with demonstrated experience developing, deploying, and maintaining production software.

• Alternatively, an associate degree in Computer Science, Electrical Engineering, Electronics Engineering, Mathematics, Physics, Computer Engineering, or a related discipline, combined with at least 5 years of relevant software engineering experience.

• Alternatively, a bachelor's degree in a related technical discipline combined with at least 4 years of relevant software engineering experience, or a master's degree combined with at least 2 years of experience.

• A doctorate in Computer Science, Electrical Engineering, Electronics Engineering, Mathematics, Physics, Computer Engineering, or a related field may also qualify, as can equivalent practical experience.

• Strong programming experience in one or more languages, such as C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python.

• Experience building, deploying, and maintaining reliable production software, with a solid understanding of software architecture, system design, and engineering best practices.

• Demonstrated ability to take ownership of technical initiatives, communicate effectively across different roles, and drive projects forward independently.

• Experience developing tools or products that integrate AI capabilities into production workflows, particularly AI agents, AI skills, or Model Context Protocol (MCP) servers, is preferred.

• Familiarity with cloud infrastructure and experience building and operating production systems on a major cloud platform.

• Knowledge of infrastructure-as-code practices and container orchestration technologies is an advantage.

• At least 3 years of experience working remotely as part of a distributed software engineering team is preferred.

• Strong curiosity, adaptability, and a growth mindset, with the ability to learn unfamiliar technologies, tools, and technical domains.

• Ability to navigate ambiguity, manage changing priorities, evaluate different technical approaches, and deliver effective solutions in evolving environments.

• Excellent communication and collaboration skills, with the ability to explain technical concepts, share knowledge, and contribute to architectural discussions.

• Strong problem-solving, analytical thinking, and decision-making abilities, combined with a proactive and resilient approach to engineering challenges.