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Swiftly

Principal Software Engineer

Swiftly

. Work with and provide direction to the teams building Swiftly's ads and martech platform .

Posted 11/10/2026full-timeRemote • United StatesLead💰 $220,000 - $228,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in architecting and maintaining large-scale distributed systems, with a strong focus on performance, reliability, and observability. Proficient in Go and Python programming, with experience in cloud environments such as Azure and AWS, and a solid understanding of ad tech and data engineering practices.

Highest-signal resume keywords
Go ProgrammingKotlin DevelopmentAzure Cloud ServicesAd Tech ExperienceCI/CD with GitHub Actions

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Large-Scale Software ServicesPostgreSQLMicroservices ArchitectureEvent StreamingSchema MigrationsObservability ToolsInfrastructure as CodeData PipelinesAPI FrameworksProduction Code Writing
Soft Skills
LeadershipCollaborationProblem-SolvingOwnershipCommunication
Tools & Technologies
DatabricksAzure FunctionsKubernetesTerraformOpenTelemetryPrometheusGrafanaFastAPIQuarkusAI Coding Agents
Industry Keywords
Ad ServersDSPsCampaign MeasurementMulti-Tenant EnvironmentRetail-Oriented SolutionsSaaSImpression TrackingAttributionGitOps DeploymentIncident Management

Tech Stack

Tools & technologies
AWSAzureDistributed SystemsGrafanaGraphQLJavaKafkaKotlinKubernetesMicroservicesPostgresPrometheusPythonSparkTerraformGo

About the role

Key responsibilities & impact
  • Work with and provide direction to the teams building Swiftly's ads and martech platform
  • Architect, code and maintain large-scale distributed systems
  • Lead incremental migration of campaign authoring and The Trade Desk write path off a Kotlin/Quarkus service without downtime
  • Own performance and reliability of the Go ad server against strict SLOs
  • Design data contracts shared between services using schema-as-code, versioned database views, transactional outbox and projector patterns
  • Partner with data engineering on Databricks pipelines for personalized rankings, identity resolution and impression data feeding attribution and iROAS
  • Build safe, auditable integrations with The Trade Desk GraphQL API, Salesforce and creative-rendering services
  • Utilize microservices architecture and database design expertise
  • Operate production services, including on-call and incident management
  • Contribute to a multi-tenant platform architecture
  • Guide migration from AKS with ArgoCD and Kustomize toward Azure Container Apps and Azure Functions
  • Set the engineering quality bar through typing, linting, testing, security scanning, release automation and AI-assisted development
  • Take ownership from architectural decisions through coding, testing and operations
  • Perform other related duties as assigned

Requirements

What you’ll need
  • 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, 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
  • Applicants must be authorized to work in the U.S. without the need for current or future sponsorship
  • Preferred: experience with retail-oriented solutions and SaaS
  • Preferred: mix of startup and large software company experience

Benefits

Comp & perks
  • Full-time remote work
  • Equal Employment Opportunity and Affirmative Action Employer
  • Reasonable accommodations for qualified individuals with disabilities throughout the application process