Lead Software Engineer

Job Summary

This position is an individual contributor role reporting to the Senior Director, Engineering.

Responsibilities

• Lead the architecture, technical strategy, and delivery of STaaS capabilities, with primary ownership of Redis/Valkey and queuing or messaging services
• Design and implement high-throughput, low-latency Redis/Valkey platform services for caching, persistent key/value workloads, distributed coordination, and other internal use cases
• Design reliable queuing and messaging abstractions that support appropriate delivery guarantees, ordering, retries, dead-letter queues, replay, backpressure, and idempotent consumers
• Build and evolve the STaaS control plane for logical resource provisioning, lifecycle management, policy enforcement, quotas, and consistent blueprints across cloud providers
• Develop and maintain Terraform providers, modules, service blueprints, and provisioning workflows for Redis, queuing, and related STaaS resources
• Integrate Redis and queuing capabilities with the broader STaaS platforms security, account, tenancy, telemetry, and operational-management models
• Establish secure patterns for authentication, authorization, network isolation, encryption, secrets management, and tenant or account-level boundaries
• Design and implement autoscaling, capacity management, sharding, failover, disaster recovery, and high-availability strategies for stateful and messaging workloads
• Define and improve operational standards for metrics, tracing, logging, alerting, dashboards, capacity planning, and service-level objectives
• Lead migration strategies that enable existing Redis, Valkey, Service Bus, and Pub/Sub resources to adopt STaaS capabilities with minimal disruption
• Mentor engineers through design reviews, code reviews, incident reviews, and hands-on technical guidance
• Participate in on-call rotations, lead or contribute to incident response, and drive corrective actions that improve STaaS reliability

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

• 12+ years of hands-on software development experience in an object-oriented programming language such as C#, C++, Java, or an equivalent language
• 5+ years of experience designing, implementing, and operating distributed systems or cloud platform services in production
• Experience with Redis or Valkey, including data structures, persistence, replication, clustering or sharding, eviction, failover, performance tuning, and capacity management
• Experience designing and implementing queuing, pub/sub, or messaging systems, including delivery semantics, ordering, retries, dead-letter handling, and consumer scalability
• Experience with distributed systems, API design, concurrency, fault tolerance, consistency, and production operations
• Experience designing abstractions that hide cloud infrastructure details while preserving reliability, security, performance, and operational visibility
• Experience with cloud deployment, configuration, automation, and scripting tools

Preferred

• Azure Managed Redis, Google Memorystore, Azure Service Bus, Google Pub/Sub, or comparable managed cloud services
• Experience building storage or platform services across Azure, GCP, and AWS
• Experience developing Redis client libraries, authentication sidecars, gateways, protocol adapters, or service meshes for data-plane integrations
• Experience with multi-tenant caching or messaging platforms, account-aware resource management, quotas, encryption, and access isolation
• Experience implementing autoscaling, sharding, replication, failover, disaster recovery, and performance engineering for Redis or messaging workloads
• Experience with migration tooling for existing cloud resources and backward-compatible platform adoption
• Experience defining service-level objectives and building observability for latency, throughput, saturation, availability, delivery, and consumer lag
• Experience leading platform teams that support many internal service owners and operating in a DevOps or infrastructure-as-code environment

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.