BENGALURU · FULLTIME
Software Engineer
DocuSign
Bengaluru · onsite · Posted 62d ago
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Undisclosed5–10 yrsfulltimeBengaluru
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Section · 01
About this role
Job Summary
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
This position is an individual contributor role reporting to the Senior Manager, Software Engineering - AI Platform.
Responsibilities - Design, implement, and maintain backend and platform services that power Docusign s AI and Insight capabilities for Intelligent Agreement Management (IAM)
- Build and enhance components across the machine learning lifecycle, including data ingestion and storage, feature/label pipelines, annotation tooling, training workflows, and model serving infrastructure
- Develop reliable, secure, and scalable RESTful services and APIs that expose AI-powered insights and analytics to internal product teams and customer-facing applications
- Contribute to service observability by adding metrics, logging, dashboards, and alerts while participating in incident triage and root cause analysis to improve system reliability
- Apply cutting-edge AI tools to write clean, well-tested code, participating in code reviews, following team engineering best practices for design, testing, and deployment, and continuously adapting to new technologies
- Collaborate closely with machine learning engineers, data scientists, and other backend teams to translate requirements into robust platform and product features
- Work as part of a distributed team across time zones, communicating clearly and documenting decisions to ensure alignment and smooth handoffs
- Learn and adopt new technologies continuously in AI platforms, data systems, and backend engineering to improve performance, reliability, and developer experience
- Demonstrate strong curiosity about emerging AI capabilities and industry trends, proactively exploring how they can be applied to our platform and products
- Challenge the status quo by questioning existing designs and processes and proposing innovative, AI-driven solutions that improve developer experience and customer value
- Look for opportunities to apply AI thoughtfully in every phase of development-from design and implementation to testing, deployment, and operations-to deliver better outcomes for our customers
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
- 5+ years of professional software engineering experience building backend or platform services in a production environment (or equivalent internship/industry experience)
- Experience owning design and implementation of services and independently executing it
- Proficiency in at least one modern programming language used for backend development (for example, Java, C#, Go, or TypeScript/Node.js) and familiarity with object-oriented and/or functional design principles
- Experience developing and debugging services that interact with databases or data stores (SQL or NoSQL) and external APIs
- Experience with unit, integration, and end-to-end testing, and with using version control and modern CI/CD pipelines
- Understanding of core distributed systems concepts such as scalability, reliability, latency, and fault tolerance
Preferred
- Experience building or supporting components of an AI or machine learning platform (for example, data pipelines, feature stores, training orchestration, model serving, or experimentation frameworks)
- Experience designing and operating cloud-native services (for example, Kubernetes, Docker, serverless functions, or managed data and messaging services)
- Familiarity with observability tools and practices (metrics, logs, traces, and dashboards) and with on-call or incident response processes
- Experience working with large-scale data processing frameworks or streaming systems (such as Spark, Flink, Kafka, or similar)
- Exposure to machine learning concepts and workflows, and comfort partnering with ML engineers and data scientists to productionize models
- Experience with secure coding practices and building services that comply with privacy, security, and compliance standards
- Prior experience in SaaS or enterprise platforms, especially analytics or developer platforms
- Strong problem-solving skills, a willingness to dive into unfamiliar areas across the stack, and a learning mindset
- Effective communication and collaboration skills, with the ability to work with cross-functional partners in a distributed team environment
- Commitment to the service observability lifecycle by joining on-call rotations and serving as the primary lead for service health, ensuring rapid mitigation and long-term resolution of production issues
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Section · 02
Skills
CostingInternshipAnalyticsSANcodingdebuggingBackendSQLDistribution SystemMachine Learning
Section · Company
About DocuSign
DocuSign
Software Product
23
employees
San Francisco, California
United States of America
About
DocuSign streamlines organizational agreements through automation, recognized for its eSignature technology to enhance trust and facilitate efficient transactions.
Industries
Software Product
Employee ratings
19 reviews
3.6/ 5
Culture
3.8
Career growth
3.1
Work-life
3.7
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