Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.
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
- 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
- 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, Veeam takes into consideration factors such as experience, education, skills, and geographic zone. Offers are typically made below the midpoint of the range.
In addition to compensation, Veeam provides a comprehensive benefits package, including health coverage, retirement plans, and unlimited time off.
Veeam Software is an equal opportunity employer and does not tolerate discrimination in any form on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state or local law. All your information will be kept confidential.
Personal data collected during the recruitment process will be processed in accordance with our Recruiting Privacy Notice, which explains how your information is collected, used, and handled in connection with hiring activities. By applying for this position, you consent to this processing.
By submitting your application, you confirm that the information provided, including any supporting documents, is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification may result in disqualification from consideration or, if discovered after employment begins, termination of employment.
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