Key Responsibilities
Design and implement distributed backend systems that support high-throughput, low-latency data and service workloads
Lead architecture and technical direction for services involved in data ingestion, transformation, storage, and serving
Build and improve real-time and near-real-time data pipelines for large-scale platform use cases
Drive system reliability, scalability, and operability through strong design, observability, and automation practicesPartner with peer engineering teams to define interfaces, evolve schemas, and support safe integration patterns across services
Improve system performance across storage, compute, messaging, caching, and API layers
Establish sound approaches for fault tolerance, failure recovery, rollout safety, and capacity planning
Contribute to technical strategy and execution for platform modernization and backend architecture evolution
Mentor senior and mid-level engineers and raise engineering standards through design reviews, code reviews, and operational leadership
Participate in incident response and post-incident improvement work, with a focus on durable fixes and stronger platform foundations
Required Qualifications
8+ years of software engineering experience, with significant experience building and operating production backend systems at scale
Strong experience designing distributed systems and understanding trade-offs around consistency, availability, durability, and performance
Experience building data-intensive applications or platform services involving event-driven or streaming architectures
Strong programming skills in one or more modern languages such as Rust, Go, Java, Python, or similar
Experience with cloud-native infrastructure and containerized environments
Experience with APIs, service-to-service communication patterns, and scalable data storage systems
Strong debugging and performance tuning skills across complex, multi-service systems
Demonstrated ability to lead technically across team boundaries and influence architecture without relying solely on authority
Strong written and verbal communication skills, including the ability to explain technical trade-offs clearly
Preferred Qualifications
Experience with observability, telemetry, or large-scale data platform architectures
Experience with stream processing, message brokers, and asynchronous system design
Experience with distributed databases, analytical data stores, or high-scale storage systems
Familiarity with Kubernetes and modern cloud platform operations
Experience designing systems that balance reliability, cost efficiency, and developer velocity
Experience building internal platform capabilities used by multiple product or engineering teams
Experience with schema evolution, metadata management, or data modeling in distributed systems
Experience leading cross-functional technical initiatives from design through rollout
SolarWinds is an Equal Employment Opportunity Employer. SolarWinds will consider all qualified applicants for employment without regard to race, color, religion, sex, age, national origin, sexual orientation, gender identity, marital status, disability, veteran status or any other characteristic protected by law.
All applications are treated in accordance with the SolarWinds Privacy Notice: https://www.solarwinds.com/applicant-privacy-notice
