Senior Platform Engineer

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Swiftly, Inc.

WebsiteLinkedInAll Job Openings

51 - 200 employees

🚗 Transport

💰 Private Equity Round on 2020-12

Transport • Software

Swiftly, Inc. is a company that specializes in enhancing public transit through a comprehensive data platform. Their services focus on improving real-time passenger information, operational efficiency, and predictive insights for transit agencies. With a digital platform that supports transit management, Swiftly provides tools to optimize scheduling, planning, and customer service in public transport. The company aims to streamline the flow of information and enhance the decision-making process for transit operators to boost the overall passenger experience.

📋 Description

• Build the software platform underneath Swiftly's transit data products • Modernize cloud infrastructure and expand into a second AWS region • Improve reliability of systems ingesting real-time transit data • Own the foundation enabling engineers to work quickly and safely with AI • Drive migration to Amazon EKS using reusable Kubernetes deployment, autoscaling, networking, and reliability patterns • Design multi-region resilience, failover, and data residency • Own and improve shared cloud infrastructure and automate provisioning • Make observability self-service with versioned dashboards, alerts, and reusable OpenTelemetry instrumentation • Build and operate the AI platform layer using managed model access, reusable tooling, templates, and documentation • Strengthen CI/CD pipelines and migrate workloads to a consolidated CI platform • Document platform decisions and align engineering, product, and go-to-market teams • Work closely with product teams to shape platform work around their needs • Participate in an on-call rotation for production systems and reduce repeat incidents • Help maintain a 99.9% uptime SLA and reliable, available products

🎯 Requirements

• Experience building and operating cloud infrastructure on a major cloud platform; AWS preferred • Hands-on experience with Kubernetes or container orchestration • Experience with infrastructure-as-code tools such as Terraform or Ansible • Experience building and maintaining CI/CD pipelines, including migrating workloads between CI platforms • Experience designing or operating multi-region deployments, including failover, data residency, and repeatable provisioning • Hands-on experience building AI tooling adopted by other engineers • Ability to write production-quality code or scripts in Python, Java, JavaScript, Go, or similar • Familiarity with secure cloud networking, including VPCs, subnets, routing, load balancers, security groups, and IAM • Experience with observability practices and tools such as Grafana and OpenTelemetry • Strong written communication and ability to document platform decisions and build cross-functional alignment • Comfortable troubleshooting production systems and participating in on-call • Collaborative, pragmatic approach to technical decisions • Interest in building platforms that help engineers move faster and more safely • Security scanning, intrusion detection, policy-as-code, or other DevSecOps tooling experience is nice to have • Experience with managed API gateways such as Kong is nice to have • Experience with PostgreSQL, TimescaleDB, or other databases is nice to have • Experience building or operating data pipelines is nice to have • Experience evaluating LLM output quality or measuring AI tooling impact on developer productivity is nice to have

🏖️ Benefits

• Stock options • Competitive benefits • 401(k)/ RRSP matching • Opportunity to have a huge impact • Emphasis on professional growth • Holistic wellness • Other perks • In-person company or team offsites 1–2 times a year • Fully distributed work environment