Senior Backend Engineer II – Data, Agentic Context Platforms

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

📋 Description

• Design, develop, and maintain scalable backend services and APIs that collect, transform, retrieve, and provide context to agents and product applications.

• Take ownership of both batch and real-time data workflows, encompassing event ingestion, transformation, indexing, storage, and low-latency serving.

• Create reusable agent-context functionalities, including connectors, context assembly, memory and state interfaces, metadata and provenance, authorization-aware retrieval, and evaluation signals.

• Define and implement data models, schemas, and contracts, ensuring validation, lineage, freshness checks, and observability.

• Choose appropriate storage and retrieval strategies across operational databases, data warehouses and lakes, search systems, caches, and graph or vector technologies.

• Set SLIs and SLOs, monitor latency and correctness, plan capacity, manage costs, and design paths for graceful failure and recovery.

• Convert ambiguous context requirements into robust platform abstractions and guide technical designs from implementation to rollout, measurement, and adoption.

• Enhance engineering efficiency through SDKs, tools, documentation, deployment patterns, and predefined paths.

• Mentor engineers and elevate standards for backend architecture, data quality, operational excellence, and the responsible use of context.

⛳️ Requirements

• Over 8 years of professional software engineering experience, including ownership of production backend or distributed systems at significant scale.

• Strong programming abilities in at least one modern language, such as Go, Python, Java, or Rust.

• Proficient in SQL and data modeling techniques.

• Experience in designing and managing APIs, asynchronous workflows, and data-intensive systems with high demands for reliability, scalability, latency, and data quality.

• Familiarity with streaming or messaging systems, batch processing, operational databases, and cloud-based data platforms.

• Strong technical judgment regarding data consistency, schema evolution, privacy and access control, failure management, performance, and cost considerations.

• Experience with AWS, Infrastructure as Code tools such as Terraform or CloudFormation, CI/CD, and modern software delivery methodologies.

• Capability to lead ambiguous technical challenges from architecture to adoption.

• Excellent communication and collaboration skills, including the ability to present technical designs, constructively challenge decisions, align cross-functional partners, and mentor engineers.

• A bachelor's or advanced degree in Computer Science, Engineering, Data Science, Mathematics, or a related field—or equivalent practical experience.

🏝️ Benefits

• Equity for full-time employees.

• 401(k) with dollar-for-dollar matching up to 4% of eligible pay.

• Comprehensive medical, dental, and vision plans, including pet coverage.

• $10,000 per year in education reimbursement.

• Participation in Employee Resource Groups and Inclusion Council.

• Flexible PTO.

• 9 paid holidays.

• Year-end week-long break.

• 14 weeks of fully paid parental leave.

• An additional 6 weeks of paid childbirth recovery leave for birthing parents.

• Flexible return-to-work schedule.

• One-time $2,000 Calvin Care Cash incentive for employees welcoming new family members.

• Flexible work environment, including fully remote work options anywhere in the US for US-based roles.

• Provision of hardware and software equipment for home working.