Build and maintain internal tooling, automation pipelines, and AI-assisted workflows to improve efficiency for Customer Success teams at a real estate decarbonization platform. Requires 4-5 years experience, strong Python/Django backend skills, and comfort across the full stack with AWS services.
150k – 180k/yr
Hybrid4+ YOEFullstack Engineering
About the role
Responsibilities
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
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.
Nice-to-Haves
Experience with AWS Bedrock, OpenAI, or Claude for AI-assisted automation.
Familiarity with infrastructure-as-code and internal tooling platforms like Retool.
Compensation
Base salary range: $150,000 - $180,000 (plus equity, flexible PTO, and private health insurance).
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