Software Engineer II

Job Summary

The Software Engineer II is a mid-level individual contributor who delivers complete features and components, often independently, and supports the broader team through code reviews and collaboration. This role applies a thorough understanding of development principles, patterns, and tools to a variety of technical problems, balancing technical design with customer needs and business priorities. The Software Engineer II significantly contributes to code quality, continuous improvement, and cross-functional collaboration while serving as a reliable, accountable member of the engineering team. The role uses approved AI-enabled practices across implementation, testing, debugging, documentation, production support, and code comprehension; provides relevant context and constraints; evaluates generated alternatives; and remains accountable for the resulting work.

In addition to working in accordance with appropriate conduct and behavioral standards, specific responsibilities of this role include:

• Own medium-sized features or components from design and estimation through implementation, testing, deployment, and maintenance.
• Apply established design patterns, architectural principles, and best practices to deliver robust, scalable, and maintainable solutions.
• Use customer context and product requirements to inform technical decisions, ensuring solutions support usability, performance, and reliability.
• Participate in on-call rotations or incident response as applicable, contributing to root-cause analysis and resolution of customer-impacting issues.
• Write high-quality, testable code that adheres to coding standards, including appropriate unit, integration, and regression tests.
• Conduct code reviews that provide constructive feedback, identify defects, verify AI-assisted changes, and help maintain consistency and quality across the codebase.
• Recommend and implement improvements to development processes, tooling, and team workflows—including AI-assisted approaches—to increase efficiency and quality, using evidence to retain or retire practices.
• Collaborate effectively with product, UX, QA, and other engineering team members, helping to clarify requirements, identify dependencies, and align on delivery plans.
• Communicate clearly and proactively about progress, risks, trade-offs, and technical constraints to both technical and non-technical stakeholders.
• Support the onboarding and skill development of junior engineers through pairing, informal mentoring, and knowledge sharing.
• Use approved AI capabilities independently across implementation, testing, debugging, documentation, production support, and code comprehension; provide context and constraints, evaluate alternatives, and explain decisions.
• Validate AI-assisted work against requirements, edge cases, failure paths, dependencies, tests, and coding standards.
• Document verification of significant or high-risk AI-assisted changes and remain accountable for submitted work.

• A Bachelor’s degree in Computer Science, Software Engineering, or a related field; or equivalent combination of education and experience.
• 5 years of professional software engineering experience.
• Demonstrated ability to independently deliver end-to-end features, including design, implementation, testing, and deployment.
• Solid understanding of software engineering principles (e.g., SOLID, design patterns, data structures, algorithms) and their practical application.
• Experience with modern tooling and practices such as Git-based workflows, automated testing, CI/CD pipelines, and observability tools.
• Strong verbal and written communication skills, including the ability to document designs and explain technical decisions.
• Academic education and/or professional experience or certifications that demonstrate growing depth in the technologies and patterns used in the role and a commitment to continuous learning.

• Experience working within a multi-service or microservices architecture, including service-to-service communication and resilience patterns.
• Hands-on experience with one or more major cloud platforms (e.g., AWS, Azure, GCP) and associated managed services.
• Experience leading small sub-projects or workstreams, including coordinating tasks with peers and cross-functional partners.
• Familiarity with performance optimization, profiling, and troubleshooting complex issues in production environments.
• Participation in technical communities or contributions to internal tools, documentation, or open-source projects.

Working Environment:

This role may be performed fully remote within the United States, with optional access to company offices where available. Collaboration occurs primarily via virtual tools, with occasional in-person meetings or team events. Long-distance or air travel as needed – not to exceed 10% travel.

Physical Demands:

• Prolonged periods working at a computer, including typing and viewing screens.
• Frequent communication via video, phone, and online platforms.
• Occasional movement within a home or office environment; infrequent lifting of standard office or computer equipment.