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Backend Founding Engineer Backend Founding Engineer San Francisco​/Remote San Francisco​/Remote

Remote / Online - Candidates ideally in
San Francisco, San Francisco County, California, 94199, USA
Listing for: Sawmills.AI Inc.
Remote/Work from Home position
Listed on 2026-01-03
Job specializations:
  • Software Development
    Software Engineer, Cloud Engineer - Software
Job Description & How to Apply Below
Position: Backend Founding Engineer Backend Founding Engineer San Francisco / Remote San Francisco / Remote

Sawmills is the first smart telemetry management platform, designed to handle the explosion of telemetry data generated by modern distributed systems. By integrating deeply with Open Telemetry and cloud-native infrastructure, Sawmills AI enables teams to reduce observability cost, improve data quality, and safeguard realibility.

Responsibilities:
  • Lead design/development of Telemetry Data Management Platform
  • Craft scalable backend systems that integrate with open technologies (Open Telemetry)
  • Develop/scale backend of Telemetry Data Management Platform [emphasizing compatibility with open technologies (Open Telemetry)]
  • Write complex SQL queries, tuning db performance (indexes/partitions)
  • Use streaming algorithms (Count-Min-Sketch, Hyper Log Log ) for high cardinality solutions
  • Architect systems that process/analyze vast amounts of machine data
  • Participate in strategic planning/development of technical roadmaps
  • Work with founders to ensure features meet customers' needs
  • Collaborate with team to enhance integration with widely-used observability tools
  • Serve as advocate for/implement best practices in open-source software development
  • Contribute to open-source community
  • Design/implement end to end CI/CD pipelines (Git Hub Actions, Argo CD) to automate testing, security scans, zero downtime releases
  • Develop Terraform infrastructure as code modules to provision/manage multi account AWS environments
  • Work with instrument services (Open Telemetry SDKs)
  • Define logs/metrics/traces standards to ensure comprehensive observability
  • Conduct performance profiling/load testing (k6, Locust) to validate system scalability to multi petabyte data volumes
  • Implement blue green and canary deployment strategies (AWS EKS) to minimize rollout risks
  • Perform prototype tiered storage/compression strategies (S3 + Glacier, Parquet, ZSTD) to optimize long term data retention costs
  • Lead threat modeling, IAM least privilege design, secret management efforts to harden platform security
  • Build internal developer tooling/SDKs (Go /Type Script) that speed micro service bootstrapping/ enforce coding standards
  • Manage semantic versioning/release lifecycle of core platform components, ensuring backward compatibility
  • Coordinate incident response, root cause analysis, post mortem documentation to drive reliability improvements
  • Evaluate/integrate third party data platforms (Snowflake, DuckDB, Vector) through technical proofs of concepts
  • Author technical blogs, conference talks, webinars to promote company thought leadership in observability
  • Oversee vendor assessments/contract negotiations for critical infrastructure services
  • Mentor/coach junior engineers via code reviews, pair programming, individualized growth plans
  • Stay abreast of new technologies/techniques in backend development/observability platforms
Job Requirements:
  • Bachelor's degree or foreign equivalent in Computer Science, Computer Engineering, or Software Engineering, plus 5 years of progressive experience.
  • Experience to include:
    • Designing relational databases/async communication between microservices (Redis/message queue)
    • Writing complex SQL queries, tuning db performance (indexes/partitions)
    • Developing End2

      End features (K8s, Redis, Postgres, Python, AWS tools)/new AI products (RAG, LLMs)/micro-services (GO, React over AWS EKS, RDS, Kafka, gRPC)
    • Using streaming algorithms (Count-Min-Sketch, Hyper Log Log ) for high cardinality solutions
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