# Senior Backend Engineer II, Data & Agentic Context Platforms

**Company:** [Fetch](https://hotfix.jobs/companies/fetch)
**Location:** Remote
**Role:** Backend Engineering
**Salary:** $190k – $224k/yr
**Experience:** 8+ years
**Skills:** Go, Python, Java, Rust, SQL, Data Modeling, APIs, Distributed Systems, AWS, Terraform, CloudFormation, CI/CD, Streaming Systems, Vector Databases, Llm Platforms
**Posted:** 2026-09-08

> Build and operate backend services, data pipelines, storage, and retrieval systems that provide trusted context to agentic platforms and product applications. The role requires 8+ years of software engineering experience, distributed-systems expertise, cloud infrastructure knowledge, and strong data modeling skills.

## Job Description

## Responsibilities
- Design, build, and operate scalable backend services and APIs that ingest, transform, retrieve, and serve context to agents and product applications.
- Own batch and real-time data flows, including event ingestion, transformation, indexing, storage, and low-latency serving.
- Develop reusable agent-context capabilities, including connectors, context assembly, memory and state interfaces, metadata and provenance, authorization-aware retrieval, and evaluation signals.
- Define data models, schemas, and contracts; implement validation, lineage, freshness checks, and observability.
- Select storage and retrieval patterns across operational databases, data warehouses and lakes, search systems, caches, and graph or vector technologies.
- Establish SLIs and SLOs, monitor latency and correctness, plan capacity, manage costs, and design graceful failure and recovery paths.
- Translate ambiguous context needs into durable platform abstractions and lead technical designs through implementation, rollout, measurement, and adoption.
- Improve engineering velocity through SDKs, tools, documentation, deployment patterns, and paved paths.
- Mentor engineers and raise standards for backend architecture, data quality, operational excellence, and responsible use of context.

## Requirements
- 8+ years of professional software engineering experience, including ownership of production backend or distributed systems at meaningful scale.
- Strong programming skills in at least one modern language such as Go, Python, Java, or Rust, plus proficiency in SQL and data modeling.
- Experience designing and operating APIs, asynchronous workflows, and data-intensive systems with demanding reliability, scalability, latency, and data-quality requirements.
- Experience with modern data infrastructure, including streaming or messaging systems, batch processing, operational databases, and cloud-based data platforms.
- Technical judgment regarding data consistency, schema evolution, privacy and access control, failure handling, performance, and cost.
- Experience with AWS, infrastructure-as-code tools such as Terraform or CloudFormation, CI/CD, and modern software delivery practices.
- Ability to lead ambiguous technical problems from architecture through adoption and improve systems based on evidence.
- Strong communication, collaboration, technical presentation, cross-functional alignment, and mentoring skills.
- Bachelor’s or advanced degree in Computer Science, Engineering, Data Science, Mathematics, or a related field, or equivalent practical experience.

## Nice to Have
- Experience building production agentic or LLM-powered platforms, including context assembly, memory, retrieval, or evaluation systems.
- Experience with vector databases, graph technologies, search platforms, or hybrid retrieval approaches.
- Experience developing internal platforms, SDKs, or paved paths adopted by multiple engineering teams.
- Familiarity with authorization-aware retrieval and governance of sensitive data, including provenance, lineage, freshness, and privacy.

## Compensation and Benefits
- Base salary range: **$190,409–$224,011 USD**.
- Equity, 401(k) match up to 4%, medical, dental and vision coverage, pet benefits, education reimbursement, employee resource groups, paid time off, paid holidays, year-end break, and parental leave.

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