Senior Software Engineer – AI SaaS

Process Street

. Architect and evolve backend systems using Scala, Play, Postgres, and AWS .

Posted 10/8/2026full-timeRemote • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting and evolving backend systems using Scala and AWS, while also leading teams in AI-native software development. Proficient in designing scalable APIs and internal tooling to enhance development workflows and code quality.

Highest-signal resume keywords

Scala Backend DevelopmentJavaScript and React ProficiencyAI Coding Tools ExperienceSaaS Product DevelopmentTeam Leadership in AI Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ScalaJavaRubyC#JavaScriptReactAI Coding ToolsFunctional ProgrammingSystem DesignSaaS Development

Soft Skills

Excellent Written Communication

Tools & Technologies

PlayPostgresAWSClaude CodeCodexCursorChakraStorybook

Industry Keywords

AI-Native Software DevelopmentAgent-Driven WorkflowsInternal Engineering ToolsCustom LLM DevelopmentMulti-Session Systems

Tech Stack

Tools & technologies

AWSJavaJavaScriptPostgresReactRubyScala

About the role

Key responsibilities & impact

Architect and evolve backend systems using Scala, Play, Postgres, and AWS
Design and deploy scalable APIs and AI-assisted services
Own feature development end to end, from ideation to production
Build frontend features using React, Chakra, Storybook, and modern state tools
Develop and maintain agent-driven development workflows
Use Claude Code and Codex to accelerate implementation, debugging, and refactoring across parallel sessions
Create internal tooling, prompts, and engineering systems to improve velocity and code quality
Optimize performance across frontend, backend, and AI-assisted pipelines
Help define best practices for AI-native software development
Eventually lead a small team of 2–3 engineers and shape how they work with AI
Help architect and evolve Process Street into an AI-native product and engineering organization
Define how engineers collaborate with AI, how codebases are structured for agent interaction, and how workflows evolve with AI as a first-class participant

Requirements

What you’ll need

7+ years of software engineering experience
Strong experience with backend systems using Scala, Java, Ruby, or C#
Strong experience with JavaScript and React
Experience building and scaling SaaS products
Deep familiarity with AI coding tools such as Claude Code, Codex, and Cursor
Comfort working across multi-session, agent-driven workflows
Strong intuition for when to rely on AI versus manual implementation
Experience designing systems, not just implementing features
Excellent written communication
Live in a timezone between UTC−6 and UTC+2
Experience or experimentation with custom LLM development workflows
Experience or experimentation with internal engineering tools, prompts, and skills
Experience or experimentation with agent-like systems operating across files, repositories, or tasks
Comfort writing code, designing systems, prompting or guiding AI agents, and debugging AI-generated output
Functional programming experience, internal developer tools/platform experience, prompt-system or reusable AI workflow experience are bonus points

Benefits

Comp & perks

“No Meeting” Fridays
Unlimited PTO policy; most take 3–4 weeks, plus major holidays
Company-wide week off in December
Company offsites and sponsored small-group meetups
Social time including coffee chats, game-playing, story-telling, and house tours
Generous health insurance for US employees and their families, including dental and vision plans
Equity for all full-time roles
Flexible remote culture
Autonomous work and asynchronous communication