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 • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Own and operationalize Dynatrace’s global Partner Services Program, including partner certification, tiering, quality audits, endorsements, delivery standards, and governance. Establish repeatable operating cadences, assess partner capability, enforce customer satisfaction standards, define engagement responsibilities, maintain enablement frameworks, and report quality metrics to leadership. Build the program as it scales and lead a small team while maintaining accountability with commercial partners.
Top Skills:
AWSCertification ToolingDynatraceGCPLearning Management PlatformsAzure
Legal Tech • Software • Generative AI
Own Eve’s data platform end to end, including ingestion, orchestration, incremental dbt models, Snowflake administration, Terraform infrastructure, observability, access controls, and pipeline reliability. Build schema-change detection, freshness SLAs, CI environments, and incident processes while managing performance and compute costs. Partner with analytics engineers and stakeholders to maintain trusted data for reporting and AI systems, using AI-assisted development and documenting platform standards.
Top Skills:
AirflowClaude CodeDbtFivetranGithub ActionsIcebergMcp ServersParquetPythonSnowflakeSQLTerraform
Legal Tech • Software • Generative AI
Staff Data Engineer will set technical direction and build Eve’s scalable data platform. Responsibilities include Snowflake administration, role-based access, governance, ingestion, dbt modeling and orchestration, Terraform infrastructure, observability, schema change detection, reliability practices, and CI standards. The role also mentors engineers and analysts, supports AI-assisted development, and establishes secure, reliable workflows for product, case, customer, and go-to-market data.
Top Skills:
AirflowClaude CodeDbtFivetranGithub ActionsMcp ServersPythonSnowflakeSnowflake CortexSQLTerraform
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute


