Software Engineer (L1) As a Software Engineer, you’ll join a team responsible for designing, building, and operating production-ready software. This is an opportunity to gain hands-on experience across the full software development lifecycle — from designing solutions and writing high-quality code, to deploying, monitoring, and maintaining applications in production. You’ll be surrounded by experienced engineers who will support your learning and development, while also expecting you to contribute meaningfully to the team’s work. You’ll be building features across the stack — from back-end services and APIs to customer-facing front-ends — while gaining a deep understanding of how our systems work together to deliver value. You’ll learn to make thoughtful trade-offs between performance, maintainability, and speed of delivery. You’ll be encouraged to question assumptions, propose improvements, and take ownership of the quality and stability of your work. As part of our engineering culture, you are expected to adopt and actively use AI-based tools and coding assistants to increase your development efficiency and quality. You’ll be supported in learning these tools and expected to incorporate them into your day-to-day workflow as part of how we deliver software quickly and responsibly. You are also expected to take full responsibility for validating the changes you make — including unit tests, integration tests, end-to-end flows, and any required manual validation. You’ll learn how to build observability into your services, respond to production issues, and participate in CI/CD and automation workflows. While you may not yet lead conversations, you’ll begin developing the communication skills and business awareness required to collaborate across disciplines. You’ll work with product managers and designers to clarify scope and expected behavior, and over time, you’ll develop an understanding of how your work supports customer value and business priorities. What you’ll do: Build and maintain features and services across the stack (front-end, back-end, and infrastructure). Use AI-powered development tools to assist with coding, testing, and documentation. Collaborate with senior engineers and cross-functional partners (Product, Design, QA) to deliver customer value. Participate in code reviews, ask questions, and continually improve your technical skills. Write clean, testable code and contribute to automated test coverage. Take ownership for testing your work end to end — including unit, integration, and manual validation. Debug, troubleshoot, and resolve production issues — with support from your team. Learn and adopt DevOps practices including CI/CD, observability, and incident response. Participate in team stand-ups, planning sessions, and retrospectives. Requirements: Familiarity with at least one modern programming language (e.g., TypeScript, Java, Python, Kotlin, PHP). Basic understanding of web architecture (client/server), APIs, and databases. Exposure to version control systems and automated testing practices. Curiosity about AI tools and openness to integrating them into your development process. Desire to grow through feedback, collaboration, and real-world experience.

Senior DevOps Engineer (L3) As a Senior DevOps Engineer at Spring, you are a strategic leader and technical expert responsible for designing, building, and scaling our infrastructure platforms and delivery systems. You help set the standard for reliability, observability, cost-efficiency, and velocity across engineering — and play a critical role in enabling Spring to scale securely and sustainably. You own cross-functional infrastructure initiatives that support new products, integrations, or compliance requirements. You contribute to the long-term evolution of Spring’s platform architecture and collaborate closely with engineering, product, and business leadership to ensure infrastructure decisions support strategic objectives. You mentor other engineers, lead technical design efforts, and serve as a go-to partner for high-risk or business-critical systems. At this level, you’re expected to deeply understand how Spring’s technical architecture supports our business. You know how key services interact across domains — from payment reconciliation to identity verification to customer communications. You anticipate and mitigate systemic risks, lead readiness reviews, and help shape platform roadmaps that balance scale, reliability, and speed. You also collaborate with security, IT, sysadmins, and network teams on strategic concerns like multi-region availability, compliance automation, VPN routing, SOC2 readiness, data loss prevention, and endpoint security. What you’ll do: Lead the design and implementation of scalable, secure, and cost-efficient cloud infrastructure. Own architecture and execution of high-impact platform initiatives (e.g., CD migration, zero-downtime deploys, logging architecture). Collaborate with Security, IT, and Infrastructure teams to define and implement org-wide access, audit, and reliability standards. Proactively identify technical debt, scalability concerns, and risk across multiple systems and services. Guide platform investments and architecture strategy in partnership with engineering and product leadership. Mentor engineers and set best practices in observability, incident response, and infrastructure evolution. Requirements: Deep expertise in a major cloud provider, such as AWS, and Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or CDK. Extensive, hands-on experience with containerization and orchestration technologies, such as Docker, Kubernetes (and its variants like EKS), and Helm. Strong proficiency in a programming language like Python or Go for creating robust automation and tooling. Deep expertise in designing and managing CI/CD pipelines, with experience in modern practices like GitOps using tools such as ArgoCD or Flux. Expert-level knowledge of Linux/UNIX systems administration, version control (Git), and internals. Advanced understanding of networking (VPC design, DNS, routing, service mesh) and cloud security (IAM, threat modeling, compliance automation). Deep understanding of observability, monitoring, and alerting using tools such as the Prometheus stack (Prometheus, Grafana, Loki) and/or commercial platforms like Datadog. Proven experience leading infrastructure strategy and operating high-availability production systems. Strong leadership, cross-functional influence, and a business-first mindset when making technical trade-offs.