Senior Software Engineer – Platform

Clera

Senior Software Engineer building an agentic data lakehouse for AI-driven analytics. Require proficiency in Golang and experience with distributed data platforms.

Posted 7/14/2026full-timeNew York City • New York • 🇺🇸 United StatesSenior💰 $200,000 - $350,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building scalable distributed systems and architecting AI-centric ETL pipelines, with proficiency in Golang and experience in data engineering and visualization tools.

Highest-signal resume keywords

Golang ProficiencyScalable Distributed SystemsAI-Centric ETL PipelinesKubernetes ExperienceData Engineering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

GolangGRPCConnectRPCTrinoKubernetesDuckDBPostgreSQLData EngineeringData ModelingBig Data Technologies

Tools & Technologies

Data Visualization ToolsDistributed Data Platform

Certifications & Qualifications

Bachelor's Degree in Computer ScienceBachelor's Degree in Software Engineering

Industry Keywords

VC-Backed StartupsProduct DevelopmentZero to One

Tech Stack

Tools & technologies

Distributed SystemsETLGoGRPCKubernetesPostgres

About the role

Key responsibilities & impact

Build the system that gives AI agents the context to query enterprise data correctly and the guardrails to prove their results.
Design and implement orchestration systems for agents interacting with the broader world.
Architect AI-centric ETL pipelines for data lakehouses that make large-scale analytics accessible to organizations with minimal data engineering resources.
Contribute across infrastructure, services, or frontend as the team and product evolve.

Requirements

What you’ll need

4+ years of hands-on experience as a backend or platform engineer building scalable distributed systems.
Proficiency in Golang — this is a hard requirement.
Experience with gRPC / ConnectRPC, Trino, Kubernetes, DuckDB, and PostgreSQL in a distributed data platform environment.
Strong CS fundamentals; Bachelor's degree in Computer Science, Software Engineering, or comparable practical experience.
Background at early-stage, VC-backed startups or demonstrated experience building products from zero to one.
Experience with data visualization tools, data engineering, data modeling, and big data technologies.

Benefits

Comp & perks

Visa sponsorship is available