Role details
Salary: $145K – $300K
Hybrid work policy: This is a hybrid role. Engineers are expected in the office 3 days a week at Saildrone’s headquarters in Alameda, CA, where most of the engineering team works. Candidates must already be in the SF Bay Area (e.g., San Francisco or Alameda) and able to commute, because relocation support is not offered for this role.
Full-time position
Location: Alameda, CA
Tech stack: Python, TypeScript, AWS, Distributed Systems, API Design, Databases, Data Modeling, Streaming Data Systems, Observability
Equity: Equity
Visa sponsorship details: Not open to any visas (e.g. US citizen, Green Card holders)
Hiring Count: Looking to hire 1 candidate for this role
About this role
What we’re looking for
We need a backend-leaning engineer with about 4–8 years of experience building and running production cloud and distributed systems. You must be strong in both Python and TypeScript, not just one of them. You should be comfortable working in an existing legacy codebase, debugging and making changes across several repos without much hand-holding. You should also have a track record of owning production services and APIs from design through deployment and operation, ideally on AWS. Bonus points if you’ve worked with real-time or streaming data, or with telemetry, sensor or geospatial data from robotics, autonomous vehicles, IoT, aerospace or defense systems.
This is a mid-level role on Saildrone’s new Fleet Engineering team. It is called full stack, but about 80–90% of the work is platform and APIs. The front end is a small part of the job. More senior engineers with the right hands-on skills are also welcome.
What you’ll do
- Design, build and operate production cloud services that ingest, process, store and expose sensor, detection and operational data from Saildrone’s fleet of autonomous surface vessels (USVs)
- Take ownership of projects that span multiple repos in an existing codebase. You’ll debug, refactor and improve that infrastructure as it scales, rather than starting new projects from scratch
- Work closely with the Fleet Engineering hiring manager and front-end-focused teammates to give downstream applications and mission operators the backend services and APIs they need
- Develop backend services and APIs in Python and TypeScript that connect vessels with intermittent connections to the applications used to monitor and operate them
- Lead the design of data models and database systems for operational and sensor-derived data, from early design through production rollout
- Deploy, monitor and debug services in AWS, improving reliability, scalability, observability and graceful handling of delayed or incomplete data
Requirements
Dealbreaker
Work experience
- Must have: Experience building, deploying, and operating production cloud or distributed systems; backend-leaning software engineer focused on platform APIs and distributed services
Hard skills
- Must have: Python and TypeScript proficiency
Miscellaneous
- Must have: Ability to work hybrid in Alameda, CA (3 days/week, no relocation support)
- Must have: Comfortworking in the defense industry
Baseline
Seniority
- Requrid:4 - 8 years of experience as a cloud software engineer with strong a backend, infrastructure, and distributed systems background
Work experience
- Required: Experience debugging and modifying legacy codebases across multiple repositories; need a high-level of ownership to hit the ground running in this area and require little hand-holding
Education
- Required: Bachelor’s degree
Hard skills
- Required: Experience with AWS (or another major cloud platform)
Nice-to-have
Work experience
- Experience in streaming or real-time data, telemetry, sensor, or geospatial data, IoT or robotics, aerospace/defense, robotics, autonomous vehicles, IoT, or distributed physical systems
Traits to avoid
- Only C++ background offering to learn Python or TypeScript
- Frontend-heavy profiles
Application
Send us your updated CV/Resume to contact@remotetalents.website with the subject: “Software Engineer, Cloud”
Follow us on X (ex Twitter) ; LinkedIn ; Instagram.
