Senior Software Engineer II

What You Will Do

• Own and lead the design and implementation of complex backend services and systems in a cloud-native, microservices-based environment.
• Make architecture and technical decisions that balance reliability, scalability, performance, and operability, and clearly communicate the tradeoffs.
• Drive projects end to end: from requirements and design through implementation, rollout, and ongoing operation in production.
• Improve service reliability and operations by defining SLOs/SLAs, strengthening observability, and participating in on-call as needed.
• Collaborate across teams to define APIs, integration points, and data models that keep the platform coherent and evolvable.
• Identify and drive platform and productivity improvements (tooling, automation, process) that raise the bar for the broader engineering organization.
• Mentor and support other engineers through code reviews, design reviews, and technical guidance, helping grow the team’s capabilities.
• Contribute to a culture of continuous improvement, inclusive collaboration, and high technical standards.

What You Will Bring

• 5+ years of industry experience building, scaling, and operating backend systems in production.
• Deep proficiency in at least one major backend programming language (for example, Java, Go, C/C++, or Python) and strong fundamentals in data structures, algorithms, and system design.
• Hands-on experience with distributed systems (such as event-driven architectures, high-throughput services, or large-scale data pipelines) and an understanding of consistency, fault tolerance, and performance tradeoffs.
• Strong experience running services in a public cloud (AWS, GCP, or Azure), including containers and orchestration (for example, Docker, Kubernetes) and modern deployment practices.
• Comfortable working with databases and storage systems (SQL and/or NoSQL), including data modeling and performance optimization for scale.
• A track record of technical leadership: driving projects, influencing architecture, and coordinating work across multiple engineers or teams.
• Strong communication and collaboration skills, with the ability to align stakeholders, explain complex ideas clearly, and drive decisions.
• Experience with observability and operational excellence (metrics, logging, tracing, incident response, and postmortems).
• BS, MS, or PhD in computer science, engineering, or a related field, or equivalent practical experience.