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Senior Software Engineer, Performance Engineering

Job in San Jose, Santa Clara County, California, 95199, USA
Listing for: Oppurtuna
Full Time position
Listed on 2026-10-16
Job specializations:
  • Software Development
    Software Engineer, Cloud Engineer - Software, Backend Developer
Salary/Wage Range or Industry Benchmark: 235000 - 436000 USD Yearly USD 235000.00 436000.00 YEAR
Job Description & How to Apply Below
# Senior Software Engineer, Performance Engineering Veeamsoftware San  Jose, CA, USAPosted a day ago Apply Now## Details Location San  Jose, CA, USA##

Job Summary Securiti Mihir Kamdar 1009999##

Job Description 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  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.

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  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 DoDesign 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, data stores, 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 Veea Me 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…
Position Requirements
10+ Years work experience
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