Senior Software Engineer

Responsibilities

• Contribute to the technical design and roadmap for core platform components, author technical specifications, and help transition legacy systems into scalable cloud-native microservices.
• Use AI coding assistants such as GitHub Copilot, Anthropic Claude, or internal LLMs to generate code, expand test coverage, and prototype solutions while maintaining code quality and safety.
• Own components end to end, balancing feature delivery with reliability, security, and technical debt reduction.
• Partner with product managers and cross-functional stakeholders to translate customer and regulatory requirements into technical specifications, developer-focused APIs, and application workflows.
• Mentor junior engineers, onboard team members, conduct constructive code reviews, and provide technical guidance.
• Identify and resolve technical risks, performance bottlenecks, and security vulnerabilities.
• Participate in on-call responsibilities, resolve incidents, and implement durable root-cause remediation.
• Document technical designs, system trade-offs, operational runbooks, RFCs, and implementation guidance.

Requirements

• 5+ years of experience designing and developing highly available, high-scale, secure, mission-critical cloud-native enterprise distributed systems.
• Strong proficiency in Java or Go.
• Solid knowledge of AWS, including Lambda, EKS, DynamoDB, and Kafka.
• Hands-on experience with cloud-native infrastructure, microservice patterns, and highly resilient systems.
• Practical experience using AI tools such as Copilot, Claude, or Cursor for debugging, code synthesis, and prototyping.
• Experience building and maintaining high-volume public-facing APIs with a focus on developer experience.
• Experience with high-throughput data processing and storage solutions, including SQL/NoSQL, Redis, Kafka, or Spark.
• Familiarity with Kubernetes, Terraform, and modern CI/CD practices.
• Strong communication skills and the ability to influence technical decisions through technical credibility.

Nice to Have

• Experience building internal platforms that enable developer teams to move faster.
• Experience building or integrating AI agents into internal developer platforms or automated operations workflows.

Compensation and Benefits

• Estimated annual pay ranges:
  • Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont, or Washington, D.C.: $141,520.00–$176,900.00
  • New York, New Jersey, Washington State, or California outside the San Francisco Bay Area: $149,840.00–$187,300.00
  • San Francisco Bay Area, California: $166,400.00–$208,000.00
• May be eligible for equity and a corporate bonus plan.
• Benefits generally include health insurance, a 401(k) retirement account, paid sick time, paid personal time off, and paid parental leave.
• Occasional travel may be required for project or team meetings.