Senior Fullstack Engineer, Customer Context

Postscript

. Take ownership of systems and product areas and become the go-to technical expert .

Posted 10/5/2026full-timeRemote • United States, CanadaSenior💰 $175,000 - $205,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining large-scale, data-intensive backend systems and REST APIs, with a strong focus on AI integration and system resilience. Proficient in leveraging modern AI coding tools and distributed data processing technologies to enhance engineering workflows and system performance.

Highest-signal resume keywords

Large-Scale Data-Intensive Backend SystemsREST API DevelopmentAI Coding Tools ProficiencyEvent-Driven Distributed SystemsInfrastructure as Code (Terraform)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonGoRustReactTypeScriptKafkaFlinkSparkSQLAWS

Soft Skills

Clear CommunicationProactive Information SharingCritical Evaluation

Tools & Technologies

TerraformAWSKubernetesDatadogSignoz

Industry Keywords

Distributed SystemsScalable SystemsTechnical Debt ReductionAgentic WorkflowsSystem Resilience

Tech Stack

Tools & technologies

AWSDistributed SystemsKafkaKubernetesNoSQLPythonRDBMSReactRustSparkSQLTerraformTypeScriptGo

About the role

Key responsibilities & impact

Take ownership of systems and product areas and become the go-to technical expert
Investigate, design, and execute solutions across distributed systems
Architect, build, and maintain highly available, scalable REST APIs and backend services
Drive system decoupling, modularization, and technical debt reduction
Build agentically using concurrent autonomous agent workflows and own the output
Stay current with emerging AI tooling and practices and share techniques with the team
Help shape how AI is integrated into engineering systems and workflows
Collaborate with product, data, and go-to-market teams in an async-first environment
Identify and eliminate single points of failure and improve system resilience and knowledge redundancy
Improve engineering workflows through better tools and internal utilities

Requirements

What you’ll need

6+ years of experience building large-scale data-intensive backend systems and APIs
Active, daily use of AI coding tools such as Claude Code, Codex, Cursor, Copilot, or equivalent
Proficiency in some or all of Python, Go, Rust, React, and TypeScript
Close following of AI tooling landscape, model releases, agentic workflows, and best practices
Ability to critically evaluate AI output, identify risks, and verify results
Ability to context switch quickly across concurrent workstreams
Experience with 0-to-1 initiatives and complex existing systems
Working knowledge of event-driven distributed systems and Kafka
Familiarity with distributed data processing technologies such as Flink or Spark
Experience growing systems under production customer load, ideally to multi-terabyte scale
Experience designing high-scale systems on AWS with RDBMS, OLAP, NoSQL, and other database technologies
Knowledge of relational data modeling, index strategies, and performant SQL for transactional and analytical workloads
Experience with infrastructure as code such as Terraform
Familiarity building and observing applications on AWS and Kubernetes, ideally with Datadog, Signoz, or comparable observability tooling
Clear, direct communication and proactive information sharing in cross-functional and async teams
Strong technical tradeoff judgment informed by engineering best practices and business priorities

Benefits

Comp & perks

Significant equity
High growth startup with opportunity to directly impact the company and grow your career
Work from home (or wherever in US / Canada)
Competitive compensation and opportunity for equity
Flexible paid time off
Health, dental, vision insurance