Senior Software Engineer, Performance Engineering

veeamsoftware; San Jose (CA); On-site; USD 190,000 - 230,000; Full time

Benefits offered by this job

Unlimited PTO

12 paid holidays

Medical, dental, vision coverage

401(k) with company match

Mental health support

Professional development

AirVet

Legal services

Job summary

Veeam is seeking a Senior Software Engineer to join the Performance Engineering team for Data Connectors & High-Scale Ingestion. You will own throughput, latency, scalability, and resource efficiency of multi-source ingestion pipelines moving data from SaaS, cloud, and on-prem sources into the platform at very large scale.

You will design and run performance tests, generate realistic datasets, build tooling to locate bottlenecks, and ship fixes to improve scalability.

Qualifications

• 5+ years building enterprise-grade software in Go, C++, or Java.
• Experience with distributed systems and client-server architectures.
• Proficient in scalable, multi-threaded, and concurrent systems.
• Strong CS fundamentals in data structures and algorithms.
• Hands-on Kubernetes, AWS, and Azure experience.

Responsibilities

• Design and run performance and scalability tests for connectors and ingestion pipelines.
• Debug full stack end-to-end to root-cause bottlenecks and regressions.
• Analyze production workloads using Prometheus and Kibana to identify bottlenecks.
• Build tooling for bottleneck analysis and regression comparison.
• Fix performance issues and implement features for parallelism and memory reuse.
• Tune databases and cloud services on Kubernetes across AWS and Azure.
• Own customer-reported performance issues and collaborate with Support and Engineering.
• Participate in design reviews to ensure performance by design.

Skills

Go

C++

Java

Distributed systems

Concurrency

Kubernetes

AWS

Azure

Tools

Prometheus

Kibana

PostgreSQL

Redis

Databricks

Job description

About the Role

We are seeking a Senior Software Engineer to join the Performance Engineering team for Data Connectors & High-Scale Ingestion. You will own the throughput, latency, scalability, and resource efficiency of multi-source ingestion pipelines that move data from SaaS, cloud, and on-premises sources into the platform at very large scale.

In this role, you will write performance tests, generate realistic datasets, build tooling that helps the team locate bottlenecks, and ship fixes and new features that improve the scalability of the product. You will also work customer-reported performance issues through to root cause and resolution.

What You’ll Do

• Design and run performance and scalability tests for connectors and ingestion pipelines (throughput, latency, concurrency, soak), with dataset generators that reproduce realistic source data shapes, object counts, payload sizes, and change rates
• Debug the full stack end to end (Go runtime, OS, network, datastores, Kubernetes, cloud) to root-cause bottlenecks and regressions such as goroutine leaks, lock and channel contention, GC pressure, connection pool exhaustion, TCP/TLS behavior, API rate limiting, and slow queries
• Analyze production workloads and telemetry in Prometheus and Kibana to find bottlenecks, and build proofs of concept that become product improvements
• Build tooling that speeds up bottleneck analysis, such as automated pprof and trace capture and run-to-run regression comparison
• Fix performance issues and implement new features in product code, including parallelism and pipelining, batching, back-pressure handling, and connection and memory reuse
• Tune PostgreSQL, Redis, and Databricks usage on the ingestion path, and 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 so new features are performant by design, and document sizing guidance and best practices

What You’ll Bring

• 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 in developing, testing, and debugging production-quality, scalable, multi-threaded, and concurrent systems
• Strong knowledge of computer science fundamentals (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

Bonus Skills

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

What you’ll get

• Unlimited paid time off, 12 paid holidays including 4 global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Paid parental leave: 8 weeks for all parents, 16 weeks for birthing parents
• Medical, dental, and vision coverage starting on your first day
• Mental health support, therapy sessions, and digital wellness tools via our Employee Assistance Program
• 401(k) retirement plan with company matching contributions
• Fertility, adoption, and surrogacy support through Maven, plus paid volunteer time
• AirVet: 24/7 virtual veterinary care at no cost
• Legal services, identity protection, and supplemental health insurance options
• Tax-advantaged spending accounts for healthcare, dependent care, and commuting
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O'Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

Pay Transparency

Veeam is committed to pay transparency and equitable compensation. For this role, the compensation range below reflects the expected total target compensation (TTC), inclusive of base pay and a competitive performance-based bonus. For roles with a commission plan, the compensation range represents On Target Earnings (OTE), which includes base salary plus variable commission. When determining compensation, Vee