Software Engineer, Level 2-4

Cambio

Software Engineer developing internal tools for a real estate decarbonization platform and enhancing customer success efficiency through automation. Collaborating with teams to ensure high-quality software delivery.

Posted 6/29/2026full-timeSan Francisco • California • 🇺🇸 United StatesMid-LevelSenior💰 $150,000 - $180,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in backend development with Python and Django REST Framework, while effectively automating processes and building integrations to enhance Customer Success workflows. Proficient in leveraging AWS services and implementing infrastructure-as-code practices to ensure reliable, production-grade software delivery.

Highest-signal resume keywords

Python DevelopmentDjango REST FrameworkAWS ServicesCeleryNext.js

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Software EngineeringBackend DevelopmentAI-Assisted AutomationTask PipelinesIntegrations Development

Soft Skills

CollaborationProblem-SolvingProduct Instincts

Tools & Technologies

AWS CDKSQSFargateRDS/PostgreSQLRedisRetool

Industry Keywords

Customer SuccessInfrastructure-as-CodeInternal ToolsAutomationWorkflow Management

Tech Stack

Tools & technologies

AWSDjangoJavaScriptNext.jsPostgresPythonRedis

About the role

Key responsibilities & impact

Design, build, and maintain internal tools that amplify the capacity and quality of our Customer Success teams
Automate repetitive, manual processes across customer onboarding, account management, and reporting workflows
Instrument and monitor tooling performance, proactively identifying and resolving issues before they impact the team
Develop and maintain async task pipelines using Celery and SQS to handle high-volume, time-sensitive workflows
Build integrations between internal systems and third-party platforms so data flows seamlessly across the stack
Leverage AWS Bedrock, and Claude to identify and build AI-assisted automation opportunities that meaningfully improve CS workflows
Contribute to infrastructure-as-code practices using AWS CDK
Embed with the Customer Success team to scope problems, prioritize solutions, and ship iteratively
Collaborate with the broader engineering team on shared infrastructure, code quality, and technical standards
Participate in critical incident response for internal pipeline failures, owning diagnosis and resolution

Requirements

What you’ll need

4–5 years of software engineering experience, with a track record of shipping reliable, production-grade software
Proficiency in agentic software development — the ability to ship high-quality work quickly using AI agents.
Strong backend proficiency in Python; experience with Django REST Framework and Celery
Strong product instincts — you can translate a vague workflow problem into a well-scoped technical solution
Collaborative by default — you ask questions, share context, and build with the end user in mind
Comfort working across the stack — from backend APIs to frontend interfaces in Next.js and Tailwind CSS
Experience with AWS services (Fargate, SQS, RDS/PostgreSQL, Redis, CDK)
Familiarity with Retool or similar internal tooling platforms.

Benefits

Comp & perks

equity
flexible PTO
private health insurance