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
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Leads Block’s global Workforce Optimization function across customer-facing and regulated operations. Defines forecasting, capacity planning, staffing, real-time management, analytics, automation, and vendor governance strategies. Connects long-range planning with staffing execution, establishes performance and regulatory controls, improves predictive decision-making, and partners with product, engineering, finance, compliance, and vendors. Builds and develops a multidisciplinary global team while managing incidents, operational risks, service quality, resilience, and cost.
Top Skills:
AIAssembledAutomation ToolsGoogle WorkspaceSnowflakeSQL
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
The Senior Analyst, Pricing & Monetization advises on complex commercial deals, develops pricing and incentive proposals, establishes pricing targets and margin guardrails, analyzes market trends, improves deal-approval processes, and presents financial recommendations to senior leadership. The role requires advanced financial modeling, commercial judgment, cross-functional collaboration, project ownership, and the ability to build scalable operating systems using AI tools.
Top Skills:
Ai Tools
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Leads international seller onboarding operations across Europe, the UK, Australia, and APAC. Owns regional execution, staffing, vendor performance, market launches, localization, service levels, operational metrics, cost efficiency, and workflow improvements. Partners with Sales, Product, Finance, Legal, Compliance, and go-to-market teams while developing regional leaders and aligning local operating models with global standards. The role also uses AI to improve seller outcomes and internal workflows.
Top Skills:
AI
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

