Full Stack Engineer, Observability

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, develop, and deploy backend functionalities across the Vega platform, encompassing APIs, Go services, agent infrastructure, and data pipelines.

• Take ownership of features from initial prototype and API design to production deployment and subsequent iterations.

• Manage high-throughput data systems, ensuring their reliability, performance, and cost-effectiveness at scale.

• Work collaboratively with product managers, designers, and engineers in the areas of Observability and Feature Management.

• Engage in architectural discussions and participate in technical design reviews.

• Write well-tested, maintainable code while promoting best practices for quality, observability, and reliability.

• Mentor colleagues and foster a collaborative engineering culture.

• Participate in on-call rotations and take responsibility for production reliability of features.

• Enhance Vega's capabilities in Feature Management, including the flag cleanup agent.

• Design and manage safe, sandboxed infrastructure for AI agent execution, ensuring isolation, resource limits, permissions, and auditability.

• Develop data import and export pipelines that connect Observability with other platforms.

• Establish contribution patterns, shared services, and APIs for agent functionalities.

• Facilitate the creation of natural-language dashboards by extending Vega with tools, context, and evaluation mechanisms.

• Create metering and usage pipelines to support Vega’s usage-based monetization model.

• Contribute to architectural decisions, code reviews, and adherence to engineering standards.

⛳️ Requirements

• Over 5 years of professional experience in software engineering.

• Proven history of delivering production-quality backend systems.

• Expertise in Go or a comparable language such as Java, Rust, or C++.

• Experience in designing APIs and distributed services.

• Familiarity with building or integrating LLM-powered features, agents, or AI-driven workflows.

• Experience with data-intensive systems like streaming pipelines, columnar stores, or high-volume ingestion is highly advantageous.

• Strong product instincts and the ability to transform ambiguous requirements into clear, well-defined solutions.

• Collaborative and communicative, with comfort in navigating ambiguous situations.

• Knowledge of LaunchDarkly, feature flagging, or observability tools is a plus.

• Experience with usage-based product interfaces, sandboxing/isolation technologies, or developer tools is a plus.

🏝️ Benefits

• Restricted Stock Units (RSUs)

• Health insurance

• Vision insurance

• Dental insurance

• Mental health benefits