Senior Software Engineer, Platform
Job in
New York, New York County, New York, 10261, USA
Listed on 2026-08-13
Listing for:
Far Coder
Full Time
position Listed on 2026-08-13
Job specializations:
-
Software Development
Backend Developer, Database Engineering, Cloud Engineer - Software
Job Description & How to Apply Below
# Remote Senior Software Engineer, Platform Job at CleraUSAan hour agoFull TimeUSA $200000 - $350000 USDPostgreSQLKubernetes Rails Rust Go Data VisualizationETLGo Lang Scala Spark “When applying, mention the word Far Coder to show you’ve read the job post completely. Employers can look for these words to identify genuine, thoughtful applicants and avoid spam.”## Job Overview Clera is hiring a remote candidate for Senior Software Engineer, Platform.
This is a full time position.
Work location:
USA.The role typically involves technologies such as PostgreSQL, Kubernetes, Rails, Rust, Go, Data Visualization.## Required Skills### Primary Skills
* PostgreSQL* Kubernetes
* Rails* Rust
* Go### Secondary Skills
* Data Visualization
* ETL* Go Lang
* Scala* Spark Skills required for this role include PostgreSQL, Kubernetes, Rails, and related tools for day-to-day development.## Job Details
* *
* Employment Type:
** Full Time
* *
* Location:
** USA
* ** Salary:** $200000 – $350000 USD## Tech Stack
PostgreSQL, Kubernetes, Rails, Rust, Go, Data Visualization, ETL, GoLang, Scala, Spark## Role details ABOUT
THE ROLE Join a fast-growing, venture-backed AI data analytics company building an agentic data lakehouse that delivers trustworthy answers from messy enterprise data. As a Senior Software Engineer, Platform, you'll be a core member of the platform team shaping the data foundation that powers AI-driven analytics at scale — no heavy schema migrations or data movement required.
This is an early-stage, high-ownership role for a backend or platform engineer who thrives in a zero-to-one environment and wants to help define the architecture of next-generation AI analytics infrastructure.
WHAT YOU'LL DO
* Agentic Semantic Layer:
Build the system that gives AI agents the context to query enterprise data correctly, along with the guardrails to validate and prove results — making AI-generated analysis something organizations can genuinely stake decisions on.
* Distributed Agent Orchestration:
Design and implement orchestration systems for agents that interact with the real world — including API integrations, rate limiting, OAuth passthrough, model routing, scheduling, and token optimization.
* Agentic Data Engineering:
Architect AI-centric ETL pipelines for data lake houses, enabling large-scale analytics for organizations with minimal dedicated data engineering resources.
WHAT WE'RE LOOKING FOR### Required
* 4+ years of practical experience as a backend or platform engineer building scalable distributed systems.
* Proficiency in Golang, with the ability to contribute across infrastructure, services, or frontend as needed.
* Hands-on experience with gRPC/ConnectRPC, Trino, Kubernetes, DuckDB, and PostgreSQL in a distributed data platform environment.
* Experience building orchestration systems for distributed agents — covering API integrations, rate limiting, OAuth, model routing, scheduling, or token optimization.
* Experience designing or implementing ETL pipelines, data modeling, or schema design for data platforms.
* Experience at early-stage startups or building products from zero to one.
* Strong CS fundamentals;
Bachelor's degree in Computer Science, Software Engineering, or comparable professional experience.### Nice to Have
* Experience with data visualization tools or big data technologies (e.g., Spark, Hadoop, or similar).
* Background at VC-backed early-stage startups.
COMPENSATION & BENEFITS
* Salary: $200,000 – $350,000 USD annually, depending on experience.
* Visa sponsorship is available.
LOCATION This role is on-site in New York City, NY. Candidates must be willing and able to work from the NYC office. Fully remote candidates are not a fit for this position.
#J-18808-Ljbffr
Position Requirements
10+ Years
work experience
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