Software Engineer - Video

Responsibilities

• Design, implement, verify, deploy, and operationalize real-time services with high-throughput and low-latency requirements.
• Work closely with stakeholders to understand customer needs and deliver simple, robust, and scalable solutions.
• Document technical ideas clearly and collaborate with leads, architects, and cross-functional teams.
• Scale a complex distributed platform with globally distributed points of presence, high availability, reliability, throughput, low latency, and media fidelity.
• Develop novel solutions for customer problems in the Voice channel.
• Participate in requirements gathering, technical design, estimation, sprint planning, coding, testing, deployments, and on-call support.
• Own, operate, and maintain services in a distributed production environment using Agile methodologies.

Requirements

• 2–3+ years of hands-on experience in large-scale distributed application environments using JVM-based technologies.
• Experience building RESTful services, designing APIs, and working with event-driven architectures such as Kafka and Amazon SQS.
• Understanding of CI/CD pipelines.
• Hands-on experience with cloud infrastructure such as AWS, Google Cloud, OpenStack, or Azure.
• Experience with on-call rotations, incident response, and monitoring and alerting tools such as Prometheus, Datadog, and Grafana.
• Excellent written communication skills for technical documentation and AI prompting.
• Ability to evaluate AI-generated code for correctness, security, performance, and maintainability.
• Strong Java fundamentals, including the ability to architect, review, and debug code written by people or AI agents.
• Demonstrated proficiency with AI coding assistants such as Claude, GitHub Copilot, Cursor, or similar tools.
• Strong computer science fundamentals, including data structures, algorithms, operating systems, and distributed systems.
• Ability to work effectively in a collaborative, highly motivated team.
• Bachelor's degree in Computer Science or a related engineering field.

Nice-to-haves

• Experience demonstrating measurable productivity improvements from AI.
• Experience scaling data tiers with SQL and NoSQL databases and caching technologies.
• Experience designing and developing horizontally scalable, resilient backend systems that perform under load.
• Knowledge of SIP and Stir/Shaken protocols.

Compensation and Benefits

• Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont, or Washington, D.C.: $138,700–$173,400.
• New York, New Jersey, Washington State, or California outside the San Francisco Bay Area: $146,800–$183,600.
• San Francisco Bay Area, California: $163,100–$203,900.
• May be eligible for equity and a corporate bonus plan.
• Benefits include healthcare insurance, 401(k), paid sick time, paid personal time off, and paid parental leave.