This role is for a senior figure on the Engineering team. They will report to the Director of Software Engineering but be expected to operate without day-to-day direction. The Engineering team is responsible for maintaining core operational infrastructure and data ingress and egress with platform partners. This person would interact closely with the Data Science and Machine Learning teams to ensure system compatibility and maximum support of the products.

They Are Evolving Toward

Event driven system design
Container deployments to customer and partner infrastructure
Reduced architectural rigidity
Strong internal platform standards

The Senior Software Engineer role is a strong developer with extensive experience in building and deploying production-ready, scalable, and maintainable systems. In addition to this strong base, a Senior Software Engineer is a resource for junior developers to support their projects and aid in their skill development.

You Will

Develop secure and scalable APIs for internal and external use
Build portable, packaged code that is compatible with internal and external systems
Implement CI/CD and testing automation
Reduce systemic complexity
Introduce durable patterns
Identify architectural risk early
Define reliability standards across teams

As Senior Software Engineer, you are an individual contributor who can break down complex problems and deliver reliable code according to product timelines. In addition to the engineering team, you will work closely with the Product, Machine Learning, and SRE teams to inform platform decisions. You will have significant ownership of foundational platform code to support the migration to an API and Event Driven platform.

In addition to building systems, you will mentor and elevate other engineers in infrastructure best practices, operational rigor, and architectural thinking. You will help establish a culture of reliability, ownership, and continuous improvement across the organization.

You will help implement a scalable, event-driven, multi-tenant platform that supports:

Containerized product delivery to external customers
Internal event driven services across AWS
Centralized state store driven orchestration
Governance across AdTech integrations and third-party APIs

What You’ll Do

Platform Development

Create Technical Proposals from Product Specs
Build out Integrations with partners
Implement APIs that expose platform functionality in a secure manner
Develop routes and pipelines which run within an event based backend system
Emphasize portable coding practices and decoupled systems
Package reusable code for easy distribution

System Observability And Reliability

Ensure that all internal codebases adhere to strict observability and testing standards
Enforce proper production development procedures using automated CI/CD tools like GitHub Actions
Ensure that code failures are surfaced clearly and appropriate retry measures are taken
Support the adoption of proper documentation and production code best practices

Support Junior Developers

Act as a resource for junior developers to support early career development
Lead by example in implementing production code best practices
Provide mentorship and learning opportunities during projects

Identify And Mitigate Technical Debt

Support efforts to reduce and automate tech debt
Provide technical guidance in support of automation and process improvement proposals
Suggest successful patterns for reducing tech debt

Ideal Background

8-10 years of experience building and operating production systems
Bachelor’s degree in computer science, Engineering, Mathematics, or related field — or equivalent practical experience. Advanced degrees are welcome but not required.
Deep production experience with APIs, Event Based platform designs, multitenant architectures, microservices, AWS tools, and Docker
Exposure to Databricks, including deploying jobs via Databricks Asset Bundles
Exposure to event driven architectures
Experience improving testing and CI/CD practices for production workflows
Adtech experience preferred but not required
Experience with Kubernetes (EKS) preferred but not required

Current Technology Environment

Languages: Python, SQL, Rust, Javascript
Orchestration: Airflow, Databricks Jobs, SQS
Data Platform: Databricks (Delta Lake, Unity Catalog), Snowflake, AWS (S3, EC2, Elastic Beanstalk, Lambda)
Containerization: Docker
Observability: Prometheus, Grafana, Datadog
CI/CD Tools: GitHub Actions
They are actively evolving towards containerization and event driven and API first integrations

Looking For Someone Who