Swiftly is the AI platform purpose-built for retail, serving retailers, wholesalers, and brands. Swiftly's AI agents unify data, automate workflows, and power the marketing that drives measurable business growth. Swiftly AI is built on the industry's largest proprietary retail dataset: live transactions, 9 million products, and the closed-loop campaign outcomes of 33,000 stores.
Trusted by leading retailers, wholesalers, and hundreds of iconic brands, Swiftly unifies data across the retail ecosystem to accelerate growth and power the connected, personalized experiences that drive lasting shopper loyalty.
Position Summary:
Swiftly is searching for a Principal Software Engineer to lead the architecture of our ads and martech platform: the systems that author retail media campaigns, generate creatives and serve ads to shoppers through The Trade Desk. The platform spans a Go ad server built for low-latency bid requests, Python services on Azure Functions for campaign authoring and tenant configuration, Kotlin/Quarkus services we are carving apart, and a shared PostgreSQL schema managed as code. This role will set technical direction across these teams, lead a tenant-by-tenant migration off legacy services without downtime, and stay hands-on in the hardest code.
Responsibilities Include:
- Work with and provide direction to the teams that build Swiftly's ads and martech platform, including the Go ad server, campaign authoring, the tenant and capability registry, creative generation and personalized-ad services
- Architect, code and maintain large scale distributed systems with complex requirements
- Lead the incremental migration of campaign authoring and The Trade Desk write path off a Kotlin/Quarkus service, one retailer at a time, using per-tenant ownership switches, database write guards and shadow-diff dry runs to cut over safely
- Own the performance and reliability of the Go ad server against strict SLOs (p50 at or under 40 ms, p99 at or under 1 s, 2 s hard deadline), using in-process caching, circuit breakers, connection pooling and profiling
- Design the data contracts shared between services: declarative schema-as-code with Atlas, versioned database views as serving contracts, and transactional outbox and projector patterns for side effects
- Partner with data engineering on Databricks pipelines for personalized rankings, identity resolution and the impression data that feeds attribution and iROAS
- Build safe, auditable integrations with The Trade Desk GraphQL API, Salesforce and creative-rendering services, with idempotent, lock-protected pushes and full write audit history
- Utilize expertise with microservices architecture and database design
- Operate production services, including on-call and incident management
- Contribute to a multi-tenant platform architecture
- Guide the platform from AKS with ArgoCD and Kustomize toward Azure Container Apps and Azure Functions, with runtime configuration in Azure App Configuration and identity through Entra ID and Key Vault
- Set the engineering quality bar: strict typing and linting, unit, integration and end-to-end tests with Testcontainers, CodeQL and dependency scanning, release automation in GitHub Actions, and AI-assisted development
- Working collaboratively in an ambiguous, fast-paced environment
- Take ownership of domain from the ground up, from architectural decisions to coding to testing to operations
- Other related duties as assigned
Required Qualifications:
- Bachelor of Science in Computer Science, Computer Engineering, Mathematics or a related field or comparable industry experience
- 10+ years of industry experience designing, building, and maintaining large-scale software services, ideally in a multi-tenant environment
- Confidence writing production code in Go and Python, and working in Kotlin or Java services
- Expertise with PostgreSQL (query performance, migrations, views), Kubernetes, event streaming such as Azure Event Hubs or Kafka, and API frameworks such as FastAPI or Quarkus
- Experience building and running services on Azure and/or AWS
- Experience building low-latency, high-throughput services against defined SLOs, with observability through OpenTelemetry, Prometheus, Loki, Pyroscope and Grafana
- Experience with CI/CD in GitHub Actions, GitOps deployment and infrastructure as code such as Terraform
- Ad tech experience: ad servers, DSPs such as The Trade Desk, impression tracking, and campaign measurement or attribution
- Experience with Databricks or Spark data pipelines
- Experience with Atlas schema migrations, SQLAlchemy/SQLModel or pgx, and Azure Functions or Container Apps
- Experience using AI coding agents in daily development
- This position is not eligible for visa sponsorship. Applicants must be authorized to work in the U.S. without the need for current or future sponsorship
Preferred Qualifications:
- Experience with retail-oriented solutions and Saas
- Mix of startup and large software company experience
Skills Required
- Bachelor of Science in Computer Science, Computer Engineering, Mathematics, or a related field, or comparable industry experience
- 10+ years of industry experience designing, building, and maintaining large-scale software services
- Experience in a multi-tenant environment
- Production programming experience in Go and Python, with experience in Kotlin or Java services
- Expertise with PostgreSQL, including query performance, migrations, and views
- Experience with Kubernetes and event streaming such as Azure Event Hubs or Kafka
- Experience with API frameworks such as FastAPI or Quarkus
- Experience building and running services on Azure and/or AWS
- Experience building low-latency, high-throughput services against defined SLOs
- Experience with observability tools including OpenTelemetry, Prometheus, Loki, Pyroscope, and Grafana
- Experience with CI/CD using GitHub Actions, GitOps deployment, and infrastructure as code such as Terraform
- Ad tech experience with ad servers, DSPs such as The Trade Desk, impression tracking, campaign measurement, or attribution
- Experience with Databricks or Spark data pipelines
- Experience with Atlas schema migrations, SQLAlchemy/SQLModel or pgx, and Azure Functions or Container Apps
- Experience using AI coding agents in daily development
- Authorized to work in the U.S. without current or future visa sponsorship
- Experience with retail-oriented solutions and SaaS
- Combination of startup and large software company experience
What We Do
Swiftly is a leading provider of technology and solutions for retailers worldwide. Founded in 2018, Swiftly offers innovative solutions that drive engagement and enable retailers to own the digital relationship with their customer. Swiftly’s Retail Tools, Mobile Platform, Analytics and Insights, and Retail Media Network are integrated into a unified platform, which enables retailers to accelerate sales and build loyalty while empowering brands to reach more shoppers and amplify campaigns reaching more customers by using their own 1st party data. Trusted by hundreds of iconic brands, Swiftly is democratizing the retail industry and giving retailers the technology they need to compete in today’s crowded marketplace.
Why Work With Us
We’re building a culture where personal and professional growth drive business growth. Make an impact on customers and community, work with cool technology and build things that impact millions of customers every day.
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