Senior Software Engineer, Performance Engineering

Veeam Software•San Jose, CA

About The Position

Veeam is seeking a Senior Software Engineer to join the Performance Engineering team for Data Connectors & High-Scale Ingestion. The role owns the throughput, latency, scalability, and resource efficiency of multi-source ingestion pipelines moving data from SaaS, cloud, and on-premises sources into the platform at very large scale. The engineer will develop performance tests and realistic datasets, build bottleneck-analysis tooling, and deliver product fixes and features that improve scalability. The role also owns customer-reported performance issues from root cause through resolution, working in partnership with Support and Engineering.

Requirements

At least 5 years of experience developing enterprise solutions in a high-level programming language such as Go, C++, or Java.
Experience with distributed-systems concepts and client-server architectures.
Expertise developing, testing, and debugging production-quality, scalable, multithreaded, and concurrent systems.
Strong knowledge of computer science fundamentals, including data structures, algorithms, and concurrency.
Hands-on experience with Kubernetes, AWS, and Azure, including diagnosing resource, scheduling, networking, and API-limit issues in running workloads.

Nice To Haves

Experience building data connectors or ingestion pipelines using REST, gRPC, CDC, Kafka, or similar technologies.
Experience profiling and tuning production services for CPU, memory, or lock contention, including use of eBPF-based or continuous profiling tools.
Experience with databases and/or storage systems, especially in the public cloud.

Responsibilities

Design and run performance and scalability tests for connectors and ingestion pipelines, covering throughput, latency, concurrency, and soak testing.
Build dataset generators that reproduce realistic source data shapes, object counts, payload sizes, and change rates.
Debug the full stack, including Go runtime, operating systems, networks, datastores, Kubernetes, and cloud environments, to identify bottlenecks and regressions.
Analyze production workloads and telemetry in Prometheus and Kibana, and create proofs of concept that lead to product improvements.
Build bottleneck-analysis tooling, including automated pprof and trace capture and run-to-run regression comparison.
Fix performance issues and implement product features such as parallelism, pipelining, batching, back-pressure handling, and connection and memory reuse.
Tune PostgreSQL, Redis, and Databricks usage on the ingestion path.
Optimize resource usage and autoscaling of ingestion workloads on Kubernetes across AWS and Azure.
Own customer-reported performance issues through root cause and resolution in partnership with Support and Engineering.
Participate in design and code reviews to help ensure new features are performant by design.
Document sizing guidance and best practices.

Benefits

Unlimited paid time off.
12 paid holidays, including 4 global VeeaMe Days for self-care.
24 paid volunteer hours annually through Veeam Cares.
Paid parental leave: 8 weeks for all parents and 16 weeks for birthing parents.
Medical, dental, and vision coverage starting on the first day.
Mental health support, therapy sessions, and digital wellness tools through the Employee Assistance Program.
401(k) retirement plan with company matching contributions.
Fertility, adoption, and surrogacy support through Maven.
24/7 virtual veterinary care through AirVet at no cost.
Legal services, identity protection, and supplemental health insurance options.
Tax-advantaged spending accounts for healthcare, dependent care, and commuting.
Learning and growth opportunities through on-demand libraries, mentoring, workshops, and learning events.
Performance-based bonus as part of the stated total target compensation.