As a Backend Engineer, you will design and optimize backend services, collaborate with other teams, maintain APIs, and improve system performance.
Backend Engineer (Mid-to-Senior Level)
Role Overview
We foster a dynamic, collaborative culture where engineers take full ownership of their
work, from design to deployment. As a Backend Engineer on our Core Feature Team,
you will design, build, and optimize scalable backend services that power our multi-
tenant marketing automation platform. You’ll collaborate closely with front-end, AI, and
database teams to deliver robust APIs, ensure data integrity, and continuously improve
system performance.
This role is ideal for an engineer who thrives on solving complex data and scalability
challenges, writing elegant and maintainable code, and contributing to a culture of
continuous improvement.
Key Responsibilities
Design, implement, and maintain RESTful APIs using Django and Django REST
Framework.
Develop reliable data models and integrations with PostgreSQL databases.
Write scalable, maintainable, and testable backend code in Python.
Collaborate with front-end engineers to define and support API interfaces.
Improve application performance through code optimization and query tuning.
Refactor legacy systems to enhance reliability and scalability.
Participate in incident response, debugging, and root cause analysis.
Containerize applications using Docker and deploy services to AWS.
Support CI/CD processes and ensure code quality through testing and reviews.
Qualifications
Bachelor’s degree in Computer Science or related field, or equivalent experience.
5–7 years of backend software engineering experience.
Proficiency in Python, Django/Django REST Framework, and PostgreSQL.
Familiarity with AWS services (ECS, S3, Aurora RDS) and Docker.
Understanding of multi-tenant architectures and scalable design.
Experience with REST API development and performance tuning.
Familiarity with version control systems and agile methodologies
Knowledge of front-end frameworks such as React (a plus).
Skills
Strong backend development and debugging skills.
Ability to design efficient, scalable systems and write clean, maintainable code.
Solid understanding of database schema design and optimization.
Collaborative mindset with strong communication skills.
Comfortable working in a fast-paced, iterative environment.
Why Join Cinch?
At Cinch, you’ll work in a cloud-native, SaaS environment that embraces agility,
innovation, and collaboration. You’ll be part of a team that values ownership, continuous
learning, and high-impact engineering—building products that redefine how businesses
connect with their customers.
About Cinch
At Cinch, we’re revolutionizing the omnichannel marketing industry by building the best
marketing automation platform targeting multi-location businesses. Our platform
centralizes customer data and enables personalization and automated outreach across
channels—such as email, SMS, digital ads, and direct mail—to enhance retention and
drive growth. Join us to be part of a vision that prioritizes customer experience and
technological excellence.
CompensationThe base pay range for this role is $2,000 – $3,500 per month.
Similar Jobs
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Manages a regional portfolio of automotive dealership clients, focusing on retention, product adoption, account performance, risk mitigation, and revenue growth. Builds client relationships, identifies business challenges, develops improvement plans, supports product utilization, monitors account trends and system alerts, and drives cross-sell and upsell opportunities. The role requires onsite and virtual client engagement, independent work, automotive dealership expertise, and travel of up to 50%.
Top Skills:
Microsoft SuiteScreen-Sharing TechnologiesVinsolutionsWeb-Based Systems
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Manages a regional portfolio of automotive dealership clients, focusing on retention, product utilization, relationship development, issue resolution, and revenue expansion. The role identifies at-risk accounts, develops recovery plans, analyzes performance trends, promotes additional products, and advocates for client needs internally. It requires automotive dealership knowledge, strong communication and influencing skills, remote autonomy, product learning, and travel of up to 50%.
Top Skills:
MS OfficeScreen Sharing SoftwareVinsolutionsWeb-Based Systems
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Owns a portfolio of automotive dealership clients, building relationships, improving product utilization, retaining revenue, addressing at-risk accounts, and identifying upsell opportunities. The role analyzes account performance, resolves client issues, communicates customer needs internally, supports product adoption, and maintains product knowledge. It is remote and regional, requiring client visits and travel of up to 50%.
Top Skills:
Microsoft SuiteScreen Share TechnologiesVinsolutionsWeb-Based Systems
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

