Job descriptionCompany Overview Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people’s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign’s Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM). What you'll do Our team is in the business of trust and reliability. We create, maintain, and operate scalable technology and data solutions that deliver an exceptional experience for our internal and external customers. We embrace Agile principles, favor DevOps practices, and view infrastructure as code, all while building an infrastructure that scales and supports our growth and ambitious vision. This requires a smart, highly collaborative team who can identify, investigate, and implement new technologies to continue securely scaling our global business. This is a hands-on software engineering role: you write, review, and ship production-quality code to build and operate the shared infrastructure, tooling, and automation that reduce friction for engineers across Docusign. You are an AI-native engineer - you use AI coding assistants and modern automation as force multipliers in your daily work, and you help build scalable, production-ready AI services and capabilities into our cloud foundation so multiple teams can adopt them securely and efficiently. The successful candidate is self-directed and self-motivated, yet capable of taking instruction and feedback, and partners closely with product and platform engineering teams. This position is an individual contributor role reporting to the Director, DevOps Engineering. Responsibility Write, review, and ship production-quality code (e.g., Python, Go) to build tools and automation that improve the accessibility of our platform and increase the productivity of our product teams Assist in the design and implementation of key shared infrastructure components to enhance the availability and scalability of our services Help build, integrate, and operate production-ready AI services and features within our cloud platforms - including LLM-powered and agentic workflows that automate operations and improve developer and employee experience Develop, maintain, and optimize IaC using Terraform or Ansible to automate cloud resource management and deployment across multi-cloud environments (AWS, Azure, GCP) Participate in on-call support as part of a rotation with other team members and contribute to incident response, root-cause analysis, and self-healing solutions that minimize downtime Support services throughout their lifecycle by contributing a cross-stack perspective on system design, self-service capabilities, scalability, automation, capacity, and reliability Implement security controls and Zero Trust practices, partnering with InfoSec teams to maintain a strong security posture and compliance across cloud environments Monitor cloud environments using tools such as Datadog, Grafana, and other monitoring tools; identify and resolve performance bottlenecks and optimize resource utilization for cost-efficiency 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 position's job designation depending on business needs and as permitted by local law. What you bring Basic BS/BA degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent experience 5+ years of experience in Cloud Engineering, DevOps, Platform, or Infrastructure Engineering roles Experience writing, reviewing, and testing production-quality code (Python and/or Go) - not just configuring tools Experience with LLMs, prompt engineering, and/or AI agent frameworks with the ability to apply AI to automate infrastructure and developer workflows and comfort using AI coding assistants to accelerate delivery Experience with scripting and automation (Python, Bash, and/or PowerShell) for infrastructure management Experience managing resources in a cloud environment (AWS, Azure, or GCP) and building immutable infrastructure with IaC tools such as Terraform or Ansible Experience with CI/CD pipelines and DevOps practices Preferred Hands-on experience building or operating LLM-powered or agentic services in production (e.g., RAG, model routing/gateways, orchestration frameworks) Experience with containerization and orchestration tools (Docker, Kubernetes) and microservices architecture Knowledge of Linux and/or Windows administration and optimization Experience with monitoring, telemetry, or AIOps tooling Understanding of network architecture and security best practices, including VPNs, firewalls, and load balancing in cloud environments Strong problem-solving skills and excellent communication and collaboration skills, with the ability to articulate complex technical concepts to non-technical stakeholders Wage Transparency Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience. Based on applicable legislation, the below details pay ranges in the following locations: California: $132,700.00 - $206,800.00 base salary This role is also eligible for the following: Bonus: Sales personnel are eligible for variable incentive pay dependent on their achievement of pre-established sales goals. Non-Sales roles are eligible for a company bonus plan, which is calculated as a percentage of eligible wages and dependent on company performance. Stock: This role is eligible to receive Restricted Stock Units (RSUs). Global benefits provide options for the following: Paid Time Off: earned time off, as well as paid company holidays based on region Paid Parental Leave: take up to six months off with your child after birth, adoption or foster care placement Full Health Benefits Plans: options for 100% employer paid and minimum employee contribution health plans from day one of employment Retirement Plans: select retirement and pension programs with potential for employer contributions Learning and Development: options for coaching, online courses and education reimbursements Compassionate Care Leave: paid time off following the loss of a loved one and other life-changing events Life at Docusign Working here Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what’s right, every day. At Docusign, everything is equal. We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you’ll be loved by us, our customers, and the world in which we live. Accommodation Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at accommodations@docusign.com. If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at taops@docusign.com for assistance. Applicant and Candidate Privacy Notice States Not Eligible for Employment This position is not eligible for employment in the following states: Alaska, Hawaii, Maine, Mississippi, North Dakota, South Dakota, Vermont, West Virginia and Wyoming. Equal Opportunity Employer It's important to us that we build a talented team that is as diverse as our customers and where all employees feel a deep sense of belonging and thrive. We encourage great talent who bring a range of perspectives to apply for our open positions. Docusign is an Equal Opportunity Employer and makes hiring decisions based on experience, skill, aptitude and a can-do approach. We will not discriminate based on race, ethnicity, color, age, sex, religion, national origin, ancestry, pregnancy, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, registered domestic partner status, caregiver status, marital status, veteran or military status, or any other legally protected category. EEO Know Your Rights poster #LI-Hybrid #LI-UI1Basic BS/BA degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent experience 5+ years of experience in Cloud Engineering, DevOps, Platform, or Infrastructure Engineering roles Experience writing, reviewing, and testing production-quality code (Python and/or Go) - not just configuring tools Experience with LLMs, prompt engineering, and/or AI agent frameworks with the ability to apply AI to automate infrastructure and developer workflows and comfort using AI coding assistants to accelerate delivery Experience with scripting and automation (Python, Bash, and/or PowerShell) for infrastructure management Experience managing resources in a cloud environment (AWS, Azure, or GCP) and building immutable infrastructure with IaC tools such as Terraform or Ansible Experience with CI/CD pipelines and DevOps practices Preferred Hands-on experience building or operating LLM-powered or agentic services in production (e.g., RAG, model routing/gateways, orchestration frameworks) Experience with containerization and orchestration tools (Docker, Kubernetes) and microservices architecture Knowledge of Linux and/or Windows administration and optimization Experience with monitoring, telemetry, or AIOps tooling Understanding of network architecture and security best practices, including VPNs, firewalls, and load balancing in cloud environments Strong problem-solving skills and excellent communication and collaboration skills, with the ability to articulate complex technical concepts to non-technical stakeholdersOur team is in the business of trust and reliability. We create, maintain, and operate scalable technology and data solutions that deliver an exceptional experience for our internal and external customers. We embrace Agile principles, favor DevOps practices, and view infrastructure as code, all while building an infrastructure that scales and supports our growth and ambitious vision. This requires a smart, highly collaborative team who can identify, investigate, and implement new technologies to continue securely scaling our global business. This is a hands-on software engineering role: you write, review, and ship production-quality code to build and operate the shared infrastructure, tooling, and automation that reduce friction for engineers across Docusign. You are an AI-native engineer - you use AI coding assistants and modern automation as force multipliers in your daily work, and you help build scalable, production-ready AI services and capabilities into our cloud foundation so multiple teams can adopt them securely and efficiently. The successful candidate is self-directed and self-motivated, yet capable of taking instruction and feedback, and partners closely with product and platform engineering teams. This position is an individual contributor role reporting to the Director, DevOps Engineering. Responsibility Write, review, and ship production-quality code (e.g., Python, Go) to build tools and automation that improve the accessibility of our platform and increase the productivity of our product teams Assist in the design and implementation of key shared infrastructure components to enhance the availability and scalability of our services Help build, integrate, and operate production-ready AI services and features within our cloud platforms - including LLM-powered and agentic workflows that automate operations and improve developer and employee experience Develop, maintain, and optimize IaC using Terraform or Ansible to automate cloud resource management and deployment across multi-cloud environments (AWS, Azure, GCP) Participate in on-call support as part of a rotation with other team members and contribute to incident response, root-cause analysis, and self-healing solutions that minimize downtime Support services throughout their lifecycle by contributing a cross-stack perspective on system design, self-service capabilities, scalability, automation, capacity, and reliability Implement security controls and Zero Trust practices, partnering with InfoSec teams to maintain a strong security posture and compliance across cloud environments Monitor cloud environments using tools such as Datadog, Grafana, and other monitoring tools; identify and resolve performance bottlenecks and optimize resource utilization for cost-efficiency
