Senior Platform Engineer

GoodShip is the AI engine powering modern transportation networks, empowering transportation teams to optimize spend and service while driving seamless collaboration across internal stakeholders and external partners.

GoodShip unifies data from loads, tenders, contracts, real-time tracking, and market benchmarks to deliver a comprehensive, intelligent view of the transportation network. Embedded intelligence proactively recommends the highest-impact opportunities to save money, improve service, and reduce spot exposure.

Teams can act instantly by renegotiating rates, refining routing guide logic, triggering carrier performance alerts, or running off-cycle bids and full-network RFPs through purpose-built procurement tools that blend automation and intelligence. The result is a continuously optimized freight network that remains agile and resilient in a dynamic market.

We’re backed by A-list venture firms and founders of industry-leading FreightTech companies, and were recently recognized in the TechCrunch AI Disrupters 60. With ample financial backing and strong traction, we’re seeking a driven and experienced Enterprise Sales Director to join us on the ground floor and help bring ultra-modern transportation technology to market.

As a Senior Platform Engineer (SRE), you will build the internal platform that enables GoodShip's engineering organization to deliver software quickly without sacrificing reliability. You'll improve developer experience, streamline delivery pipelines, strengthen observability, and build the tooling and automation that allows product teams to ship with confidence.

This is a highly leveraged engineering role where your customers are other engineers. You'll partner closely across the organization to remove operational bottlenecks, improve engineering productivity, and establish a culture where operational excellence and engineering velocity reinforce one another.

• Design the Engineering Platform
  Design, build, and evolve the internal platform that powers engineering at GoodShip. Develop and maintain CI/CD pipelines, manage AWS infrastructure using Infrastructure as Code, improve deployment workflows, and build self-service tooling that enables engineers to move faster with confidence.

• Improve Developer Experience
  Partner with engineering teams to identify workflow friction, improve developer tooling and local development environments, streamline deployment workflows, and champion engineering best practices that balance speed, quality, and reliability while further enabling AI-assisted engineering.

• Drive Reliability and Observability
  Design and implement observability across the platform using modern monitoring tools. Define Service Level Indicators (SLIs), Service Level Objectives (SLOs), and operational health metrics while building dashboards, alerting, tracing, and monitoring that improve system visibility, incident response, and operational excellence.

• Strengthen Data Reliability
  Partner with product engineering to improve the accuracy, consistency, and reliability of the data flowing through the platform. Build visibility into data quality and processing pipelines while proactively identifying and preventing data integrity issues before they impact customers.

• Build for Scale
  Continuously identify opportunities to eliminate bottlenecks, automate manual work, and improve engineering productivity. Help establish the platform, processes, and operational practices that enable GoodShip to scale efficiently as the engineering organization grows.

• 5+ years of experience as a Software Engineer, Platform Engineer, Site Reliability Engineer, DevOps Engineer, or similar role.

• Strong software engineering fundamentals with experience building production-quality systems.

• Experience designing, deploying, and operating production workloads on AWS.

• Demonstrated success building and maintaining modern CI/CD pipelines.

• Ability to manage infrastructure using Infrastructure as Code tools such as Terraform, Pulumi, or CloudFormation.

• Expertise in building developer tooling, automation, or internal engineering platforms.

• Experience implementing observability using Datadog, Grafana, Prometheus, OpenTelemetry, or similar technologies.

• Strong understanding of distributed systems, cloud architecture, and modern software delivery practices.

• Experience defining operational metrics, SLIs, SLOs, dashboards, and alerting strategies.

• A systems-thinking mindset with the ability to identify bottlenecks and improve engineering workflows.

• Excellent collaboration and communication skills with the ability to influence engineering practices across teams.

• Demonstrated ownership, curiosity, and a continuous improvement mindset.

• Proficiency using AI development tools such as ChatGPT, GitHub Copilot, or Claude as productivity multipliers.

• Experience supporting high-growth SaaS platforms, Kubernetes, ECS, Docker, release automation, PostgreSQL, event-driven architectures, or logistics and supply chain software is a plus.

• Competitive compensation and meaningful equity ownership.

• 100% employer-paid health benefits.

• Unlimited PTO.

• Company-wide winter break during the December holidays.

• Fully remote work environment.

• Destination team off-sites.