Senior Software Engineer – AI Agents, Cloud Platform

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

📋 Description

• Create and develop systems that power the AI assistant, encompassing agent flows, context retrieval, and data connections for reasoning within live Kubernetes infrastructure.

• Construct and enhance a public, permission-aware MCP server equipped with curated tools, identity management, audit capabilities, and safety measures.

• Implement and sustain cloud connectivity across AWS, GCP, and Azure, along with the foundational data that supports the agents.

• Develop production-ready Go services that interact with cloud provider APIs, the Kubernetes control plane, and LLM APIs in real time.

• Take ownership of features throughout the entire lifecycle, from design to implementation, testing, and deployment in production.

• Troubleshoot novel issues related to incorrect agent responses, cross-cloud permission challenges, and data freshness at scale.

• Create quality assurance harnesses with evaluations, telemetry, and feedback loops to avert regressions.

• Contribute to shaping product direction and managing the backlog.

• Engage in the team's on-call rotation.

• Work collaboratively with a global team dedicated to building AI assistants for Kubernetes and cloud infrastructure.

⛳️ Requirements

• Strong foundation in software engineering principles, including clean abstractions, maintainable code, and architectural reasoning.

• A generalist who is adept at debugging distributed systems, designing authentication processes, and fine-tuning agent behavior.

• Production experience in Go is highly preferred; candidates lacking Go experience should exhibit strong systems programming capabilities in a similar language.

• Background in building or managing large-scale SaaS platforms in production, particularly in multi-tenant systems and high-volume settings.

• Comprehensive understanding of Kubernetes, including autoscaling, scheduling, and networking concepts.

• Proven experience of personally driving a complex project from start to finish.

• Practical experience with AI coding agents and agentic development workflows.

• Familiarity with observability tools in a production environment.

• Experience in CI/CD and DevOps practices.

• Excellent verbal and written communication skills in English.

• Adaptable, proactive, and comfortable navigating ambiguity.

• No visa sponsorship or work permit will be provided.

• A background check may be conducted at the final stage.

• Preferred: experience building and deploying agentic systems such as MCP servers or clients, agent gateways, tool-use orchestration, RAG pipelines, or evaluation frameworks.

• Preferred: extensive hands-on experience with AWS, GCP, or Azure, including IAM, compute, networking, and APIs.

• Preferred: experience with LLM application quality, including evaluations, prompt engineering at scale, and optimizing latency and costs.

• Preferred: familiarity with OAuth 2.0/OIDC and multi-tenant authorization design.

• Preferred: in-depth knowledge of EKS, GKE, or AKS internals.

• Preferred: contributions to Kubernetes or cloud-native open-source software.

🏝️ Benefits

• Equity options.

• Flexible, remote-first global work environment.

• 10% of working hours allocated for personal projects or self-improvement.

• Learning budget dedicated to professional and personal development, including international conferences and courses.

• Annual hackathon.

• Team-building budget and company events.

• Equipment budget.

• Additional days off.

• Competitive salary.