Senior Full Stack Engineer (Application Stack)

stack - the systems where we implement and ship business logic across our platform.

This includes everything from serverless services and batch workflows to Kafka-based

event processing, web apps, and SQL-driven data logic.

You'll also help maintain and evolve a growing set of AI-backed products and contribute

to building new ones. This is a hands-on role with meaningful ownership: you'll ship

features, improve reliability, and influence the technical direction of the stack., * Build, maintain, and improve services across our application stack:

• AWS Lambda functions, API services, and event-driven workflows

• Batch jobs / scheduled processing and asynchronous pipelines

• Kafka producers/consumers and message-driven architectures

• Workloads running on EC2 / ECS

• SQL-based business logic and data integrations

• Develop and maintain modern front-end experiences in React/Preact

(TypeScript).

• Support and extend AI-backed internal/external products

• Improve orchestration, guardrails, observability, and quality

• Partner with product and stakeholders to iterate quickly and safely

• Own features end-to-end: design ? implementation ? testing ? deployment ?

monitoring.

• Improve system quality and operational excellence:

• Monitoring/alerting, dashboards, tracing/logging

• Performance tuning, cost optimization, reliability improvements

• Contribute to architecture decisions and set engineering standards (patterns

• Strong backend engineering experience with Python and/or Node.js (TypeScript)

in production environments

• Strong front-end experience with React or Preact (TypeScript) and modern UI

patterns

• Solid understanding of SQL and data modeling for application use cases
• Practical experience building on AWS (serverless and container/VM-based)
• Comfort working across the stack - you can move between backend, frontend,

and data logic without getting blocked

• Strong ownership mindset: you care about uptime, correctness, maintainability,

and customer impact

• Ability to communicate clearly with both technical and non-technical partners

Nice-to-haves

• Snowflake experience (querying, modeling, cost/performance awareness)
• Kafka experience in production (schema evolution, retries, DLQs, ordering

semantics)

• Experience with distributed systems patterns (idempotency, at-least-once

delivery)

• DevOps/infra familiarity (IaC such as Terraform/CloudFormation/CDK, CI/CD

pipelines)

• Experience building/operating AI-enabled product features (evaluation,

prompt/versioning, guardrails)

$120k - $150k

About Quanta Credit Services Founded in 2020, Quanta Credit Services, Inc. is building the modern operating system for digital collections. We are a high-growth, ~25-person team partnering with banks, fintechs, issuers, and debt buyers to transform how they engage consumers. Our white-label platform combines data, strategy, creative, compliance, and omnichannel execution (email, SMS, MMS) to drive measurable performance improvements - while protecting and enhancing our clients' brands. Quanta is scaling quickly and investing heavily in the systems, processes, and technology that will power the next generation of AI-driven collections.