Senior Machine Learning Engineer

What youll do We are looking for a highly experienced Lead Software Engineer to drive the architecture and delivery of the Packaging and Application Lifecycle Management (ALM) platform. This is a critical and high-visibility role responsible for building scalable, extensible, and reliable platform capabilities that enable product teams, partners, and ISVs to package, promote, and manage application assets across environments. As a technical leader, you will own end-to-end solution design, lead complex cross-team initiatives, and influence the technical direction across multiple organizations. You will work closely with Product, Architecture, and Engineering teams in a globally distributed environment to deliver foundational platform capabilities. This position is an individual contributor role reporting to the Engineering Manager. Responsibility Lead the architecture and delivery of the Packaging and ALM platform, driving technical vision and execution for a strategic initiative Design scalable, fault-tolerant, and extensible platform services using modern microservices and cloud-native architectures Own end-to-end technical design for complex, cross-system workflows and integrations Author and present high-quality engineering design documents and drive alignment with senior stakeholders Act as the technical DRI for large cross-team programs, ensuring clarity of scope, dependencies, timelines, and risks Collaborate with Product Management and peer engineering teams to translate business requirements into technical solutions and accurate execution plans Establish platform standards, service contracts, and long-term extensibility models Drive engineering excellence through design reviews, code reviews, automated testing strategies, and operational best practices Identify and proactively resolve technical and organizational blockers Mentor and guide senior engineers and promote a culture of ownership, accountability, and continuous improvement Represent the team in roadmap planning, executive reviews, and cross-organization technical discussions Contribute hands-on to critical areas of system design and implementation when required Job Designation Hybrid: Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation) Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a positions job designation depending on business needs and as permitted by local law. What you bring Basic 12+ years of professional experience in software engineering Proven experience leading the design and delivery of large-scale, distributed systems and platform initiatives Strong expertise in system design, microservices architecture, and cloud-native application development Hands-on experience building scalable backend services using modern programming languages such as Node.js, C#, Java, or Go Experience with containerization and orchestration platforms such as Kubernetes Strong understanding of multi-region architectures, high availability, resiliency, and disaster recovery Experience designing and evolving platform APIs, service contracts, and extensible frameworks Bachelor s or Master s degree in Computer Science or a related field Preferred Experience building packaging, deployment, ALM, or platform engineering solutions. Familiarity with DevOps practices, CI/CD pipelines, release orchestration, and environment promotion workflows. Experience with dependency management, versioning strategies, and artifact lifecycle management. Exposure to REST and GraphQL API design and event-driven architectures. Experience with observability and operational excellence tools such as Prometheus, Grafana, or Datadog. Understanding of authentication and authorization standards such as OAuth2, OpenID Connect, and JWT. Experience working on SaaS platforms serving external developers, partners, or ISVs. Excellent communication and collaboration skills with experience working across globally distributed teams Proven ability to mentor senior engineers and lead through influence Demonstrated ability to create high-quality design documentation and present technical solutions to diverse stakeholders Basic 12+ years of professional experience in software engineering Proven experience leading the design and delivery of large-scale, distributed systems and platform initiatives Strong expertise in system design, microservices architecture, and cloud-native application development Hands-on experience building scalable backend services using modern programming languages such as Node.js, C#, Java, or Go Experience with containerization and orchestration platforms such as Kubernetes Strong understanding of multi-region architectures, high availability, resiliency, and disaster recovery Experience designing and evolving platform APIs, service contracts, and extensible frameworks Bachelor s or Master s degree in Computer Science or a related field Preferred Experience building packaging, deployment, ALM, or platform engineering solutions. Familiarity with DevOps practices, CI/CD pipelines, release orchestration, and environment promotion workflows. Experience with dependency management, versioning strategies, and artifact lifecycle management. Exposure to REST and GraphQL API design and event-driven architectures. Experience with observability and operational excellence tools such as Prometheus, Grafana, or Datadog. Understanding of authentication and authorization standards such as OAuth2, OpenID Connect, and JWT. Experience working on SaaS platforms serving external developers, partners, or ISVs. Excellent communication and collaboration skills with experience working across globally distributed teams Proven ability to mentor senior engineers and lead through influence Demonstrated ability to create high-quality design documentation and present technical solutions to diverse stakeholders Responsibility Lead the architecture and delivery of the Packaging and ALM platform, driving technical vision and execution for a strategic initiative Design scalable, fault-tolerant, and extensible platform services using modern microservices and cloud-native architectures Own end-to-end technical design for complex, cross-system workflows and integrations Author and present high-quality engineering design documents and drive alignment with senior stakeholders Act as the technical DRI for large cross-team programs, ensuring clarity of scope, dependencies, timelines, and risks Collaborate with Product Management and peer engineering teams to translate business requirements into technical solutions and accurate execution plans Establish platform standards, service contracts, and long-term extensibility models Drive engineering excellence through design reviews, code reviews, automated testing strategies, and operational best practices Identify and proactively resolve technical and organizational blockers Mentor and guide senior engineers and promote a culture of ownership, accountability, and continuous improvement Represent the team in roadmap planning, executive reviews, and cross-organization technical discussions Contribute hands-on to critical areas of system design and implementation when required