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Sr. Software Engineer, Cloud Platforms

All locations for this role
IN-Bangalore, India
IN-Bangalore, India
Location
IN-Bangalore, India
Work mode
hybrid
Type
full-time
Department
IT Infrastructure & Operations
Last seen
1d ago
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 As a Senior Software Engineer, you will design and build enterprise-grade distributed systems across cloud platforms, with a focus on custom backend services, developer tooling (CLI), web applications, and AI-enabled systems. This role focuses on building cloud-native services and applications using general-purpose languages (e.g., TypeScript/Node.js) and modern frameworks (e.g., React), within a distributed system architecture spanning APIs, event-driven systems, and AI/ML platforms. You will play a key role in advancing platform reliability, scalability, and developer productivity while building AI-powered and autonomous engineering capabilities across the SDLC. This position is an individual contributor role reporting to the Director, GTM Engineering. Responsibility Design and build scalable backend systems and services across cloud platforms (e.g., AWS/Azure) Develop custom applications, including CLI tools, web applications (TypeScript/React), and platform services Define and implement API-first and event-driven architectures, including service contracts, data models, and integration patterns Lead system design and architecture decisions, including decomposition, data flow, and cross-system interactions Design for scale and performance, including asynchronous processing, distributed workloads, and large data volumes Own the end-to-end lifecycle of platform services, including design, development, testing, CI/CD, deployment, and production operations Build and maintain CI/CD pipelines and DevOps tooling (e.g., GitHub Actions, containerized workflows) Implement observability and reliability patterns, including logging, monitoring (Datadog), alerting, and incident response Develop reusable frameworks, shared services, and platform utilities to improve engineering efficiency and consistency Integrate with internal and external systems via APIs, event streams, and cloud-native services Design and implement AI/ML integrations and agent-based systems to automate workflows and enable AI-driven software development and operations Contribute to secure system design, including access control, data protection, and compliance requirements Drive technical debt reduction, refactoring, and platform hardening efforts Mentor engineers and conduct code reviews, promoting strong software engineering practices and design standards 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 Bachelor’s degree in Computer Science, Engineering, or related field 7+ years of software engineering experience building scalable, distributed systems Strong proficiency in backend development and system design, including APIs, data modeling, and service architecture Experience with general-purpose programming languages (e.g., TypeScript/Node.js, Java, or similar) Experience building modern web applications (e.g., React, SPA architectures) Experience designing and building APIs (REST, GraphQL) and event-driven systems Experience with cloud platforms (e.g., AWS, Azure) and cloud-native architecture patterns Familiarity with CI/CD pipelines, version control (GitHub), and DevOps practices Experience with observability tools (e.g., Datadog) and production system monitoring Preferred Experience building developer tooling (e.g., CLI tools, SDKs, internal platforms) Experience with containerization and orchestration (Docker, Kubernetes, ECS, etc.) Familiarity with event streaming platforms (e.g., Kafka) and asynchronous processing Experience with AI/ML systems, LLM integrations, or agent-based architectures Experience building automation within the SDLC (e.g., PR automation, code generation, deployment workflows) Experience with authentication/authorization systems and RBAC models Experience with testing frameworks (e.g., Jest, Vitest) and static analysis tools Contributions to shared frameworks, platform tooling, or engineering standards Strong collaboration and communication skills across distributed teams 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 [email protected]. If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at [email protected] for assistance. Applicant and Candidate Privacy Notice #LI-Hybrid #LI-SA4
Basic Bachelor’s degree in Computer Science, Engineering, or related field 7+ years of software engineering experience building scalable, distributed systems Strong proficiency in backend development and system design, including APIs, data modeling, and service architecture Experience with general-purpose programming languages (e.g., TypeScript/Node.js, Java, or similar) Experience building modern web applications (e.g., React, SPA architectures) Experience designing and building APIs (REST, GraphQL) and event-driven systems Experience with cloud platforms (e.g., AWS, Azure) and cloud-native architecture patterns Familiarity with CI/CD pipelines, version control (GitHub), and DevOps practices Experience with observability tools (e.g., Datadog) and production system monitoring Preferred Experience building developer tooling (e.g., CLI tools, SDKs, internal platforms) Experience with containerization and orchestration (Docker, Kubernetes, ECS, etc.) Familiarity with event streaming platforms (e.g., Kafka) and asynchronous processing Experience with AI/ML systems, LLM integrations, or agent-based architectures Experience building automation within the SDLC (e.g., PR automation, code generation, deployment workflows) Experience with authentication/authorization systems and RBAC models Experience with testing frameworks (e.g., Jest, Vitest) and static analysis tools Contributions to shared frameworks, platform tooling, or engineering standards Strong collaboration and communication skills across distributed teams
As a Senior Software Engineer, you will design and build enterprise-grade distributed systems across cloud platforms, with a focus on custom backend services, developer tooling (CLI), web applications, and AI-enabled systems. This role focuses on building cloud-native services and applications using general-purpose languages (e.g., TypeScript/Node.js) and modern frameworks (e.g., React), within a distributed system architecture spanning APIs, event-driven systems, and AI/ML platforms. You will play a key role in advancing platform reliability, scalability, and developer productivity while building AI-powered and autonomous engineering capabilities across the SDLC. This position is an individual contributor role reporting to the Director, GTM Engineering. Responsibility Design and build scalable backend systems and services across cloud platforms (e.g., AWS/Azure) Develop custom applications, including CLI tools, web applications (TypeScript/React), and platform services Define and implement API-first and event-driven architectures, including service contracts, data models, and integration patterns Lead system design and architecture decisions, including decomposition, data flow, and cross-system interactions Design for scale and performance, including asynchronous processing, distributed workloads, and large data volumes Own the end-to-end lifecycle of platform services, including design, development, testing, CI/CD, deployment, and production operations Build and maintain CI/CD pipelines and DevOps tooling (e.g., GitHub Actions, containerized workflows) Implement observability and reliability patterns, including logging, monitoring (Datadog), alerting, and incident response Develop reusable frameworks, shared services, and platform utilities to improve engineering efficiency and consistency Integrate with internal and external systems via APIs, event streams, and cloud-native services Design and implement AI/ML integrations and agent-based systems to automate workflows and enable AI-driven software development and operations Contribute to secure system design, including access control, data protection, and compliance requirements Drive technical debt reduction, refactoring, and platform hardening efforts Mentor engineers and conduct code reviews, promoting strong software engineering practices and design standards
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