Company 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 The Common Data platform team is chartered to build the high availability data backend for AI, analytics and reporting needs for DocuSign customers.
We create, maintain and operate scalable technology and data solutions that deliver an exceptional experience for our customers.
We embrace Agile principles and values, favor DevOps practices, and view infrastructure as code, all while we create an infrastructure that scales and supports our growth and an ambitious vision.
This requires a hard-working, highly collaborative team who can identify, investigate, and implement new technologies to continue securely scaling our global business.
The team is looking for Software Engineers with proven track records to join our development team in Seattle or San Francisco.
This position will be part of a team working on an architectural shift that will allow us to scale to meet the next 10x of growth.
We need engineers who are ready to grapple with unique requirements of partner teams and build a cloud development and execution environment.
We need expertise to configure, deploy and execute Azure cloud solutions to deliver big-data processing, as well as distributed REST API services for customer facing products.
This position will demand critical thinking skills, ability to learn and understand complex cloud platforms and the ability to work in agile environments.
This position is an individual contributor role reporting to the Director of Engineering. Responsibility Drive design, implementation, testing and release of products Build big data pipelines and analytics infrastructure on Azure with Data Factory, Databricks, Event Hub, Data Explorer, Cosmos DB and Azure RDBMS platforms Build secure networking and reliable infrastructure for High Availability and Disaster Recovery Build big data streaming solutions with 100s of concurrent publishers and subscribers Collaborate closely with Product, Design, and Engineering teams to build new features Participate in an Agile environment using Scrum software development practices, code review, automated unit testing, end-to-end testing, continuous integration, and deployment Think about how to solve problems at scale and build fault-tolerant systems that leverage telemetry and metrics Investigate, fix, and maintain code as needed for production issues Operate high reliability, high availability service and participate in on-call rotation 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 degree in Computer Science, Engineering or equivalent 8+ years of experience within a software engineering related field Experience with data modeling with NoSQL and / or SQL Experience in cloud platforms Experience in modern server- side development using modern programming languages like C# or others Experience using Git or other version control systems and CI-CD systems Experience in writing high quality code that is easy to be maintained by others Experience in agile methodologies Preferred Experience with building cloud solutions on Azure Strong interest or documented experience in large scale microservice architectures on Kubernetes Experience building large data lakes and data warehouses Proficiency in big data processing in Apache Spark with Python or Scala Proficiency in data streaming applications with Event Hub / Kafka and Spark streaming Proficiency in data pipeline orchestration with Data Factory or similar A track record of being a self-starter - Individual / team responsibility is our main driver in the development work 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 : Washington and New York (including NYC metro area) : $145,800 - $214,350 base salary This role is also eligible for bonus, equity and benefits.
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-SP3Basic BS degree in Computer Science, Engineering or equivalent 8+ years of experience within a software engineering related field Experience with data modeling with NoSQL and / or SQL Experience in cloud platforms Experience in modern server- side development using modern programming languages like C# or others Experience using Git or other version control systems and CI-CD systems Experience in writing high quality code that is easy to be maintained by others Experience in agile methodologies Preferred Experience with building cloud solutions on Azure Strong interest or documented experience in large scale microservice architectures on Kubernetes Experience building large data lakes and data warehouses Proficiency in big data processing in Apache Spark with Python or Scala Proficiency in data streaming applications with Event Hub / Kafka and Spark streaming Proficiency in data pipeline orchestration with Data Factory or similar A track record of being a self-starter - Individual / team responsibility is our main driver in the development workThe Common Data platform team is chartered to build the high availability data backend for AI, analytics and reporting needs for DocuSign customers.
We create, maintain and operate scalable technology and data solutions that deliver an exceptional experience for our customers.
We embrace Agile principles and values, favor DevOps practices, and view infrastructure as code, all while we create an infrastructure that scales and supports our growth and an ambitious vision.
This requires a hard-working, highly collaborative team who can identify, investigate, and implement new technologies to continue securely scaling our global business.
The team is looking for Software Engineers with proven track records to join our development team in Seattle or San Francisco.
This position will be part of a team working on an architectural shift that will allow us to scale to meet the next 10x of growth.
We need engineers who are ready to grapple with unique requirements of partner teams and build a cloud development and execution environment.
We need expertise to configure, deploy and execute Azure cloud solutions to deliver big-data processing, as well as distributed REST API services for customer facing products.
This position will demand critical thinking skills, ability to learn and understand complex cloud platforms and the ability to work in agile environments.
This position is an individual contributor role reporting to the Director of Engineering. Responsibility Drive design, implementation, testing and release of products Build big data pipelines and analytics infrastructure on Azure with Data Factory, Databricks, Event Hub, Data Explorer, Cosmos DB and Azure RDBMS platforms Build secure networking and reliable infrastructure for High Availability and Disaster Recovery Build big data streaming solutions with 100s of concurrent publishers and subscribers Collaborate closely with Product, Design, and Engineering teams to build new features Participate in an Agile environment using Scrum software development practices, code review, automated unit testing, end-to-end testing, continuous integration, and deployment Think about how to solve problems at scale and build fault-tolerant systems that leverage telemetry and metrics Investigate, fix, and maintain code as needed for production issues Operate high reliability, high availability service and participate in on-call rotation