Senior Backend Engineer Job at Catio

Senior Backend Engineer

Catio

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Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

This is a high-impact, deeply technical individual contributor role where you’ll be designing and building the intelligent backend systems that power Catio’s AI-first platform for cloud-native architecture planning. You’ll be working at the intersection of distributed systems, data pipelines, and ML infrastructure to power our agentic AI recommendations and architecture insight workflows.

Job Responsibility:

Build scalable backend systems powering our observability, architecture modeling, and recommendation engines—leveraging data pipelines, microservices, and system modeling techniques
Integrate AI/ML workflows by collaborating with AI engineers to embed LLM-based and multi-agent architecture intelligence within the platform, enabling rich architecture recommendations and generative planning
Contribute to core architecture capabilities: Help identify key architectural patterns and best practices, build backend services that reflect architecture decisions and evolution, and ensure Catio provides actionable visibility for our users
Optimize performance and maintainability: Implement monitoring, fault-tolerant workflows, and observability layers for mission-critical services
Collaborate cross-functionally: Work with product managers, AI researchers, and technical leadership to translate requirements into robust platform capabilities
Learn and inform: Contribute to a high-performing engineering culture by sharing learnings and taking initiative to inform other team members where relevant

Requirements:

4+ years of experience in backend engineering at top-tier startups or technology companies
Proven track record of building scalable, production-grade systems, ideally in 0→1 product environments
Expertise in modern backend languages and frameworks (Go, Python preferred)
Deep knowledge of distributed systems and microservices architectures, with practical familiarity in observability and DevOps tooling
A systems-thinking mindset and a passion for solving architecture and infrastructure challenges—especially for the cloud-native space
Strong aptitude for performance tuning, debugging, and technical architecture design
Demonstrated ability to leverage AI-assisted development (e.g. Cursor, ChatGPT, Claude Code)
A high-trust personality with a growth mindset—able to collaborate across teams, share context, and own outcomes
Academic strength in Computer Science or related field
graduate-level education is a plus

What we offer:

top-tier compensation for startups at our stage
highly competitive salaries
significant equity in a rapidly growing, VC-backed company

Additional Information:

Job Posted:
February 21, 2026

Employment Type:

Fulltime

Work Type:

Remote work

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