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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
Listed on 2026-01-03
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
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
- 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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