Senior Software Engineer (Performance Engineering)

• 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
• 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

Benefits

• Paid parental leave: 8 weeks for all parents, 16 weeks for birthing parents
• Unlimited paid time off, plus 3 global VeeaMe Days for self-care
• Medical, dental, and vision coverage from day one
• 401(k) retirement plan with matching contributions up to annual limits
• Fertility, adoption, and surrogacy support through Maven, plus paid volunteer time
• Mental health support, therapy sessions, and digital wellness tools via SupportLinc EAP
• Legal services, identity protection, and supplemental health insurance options
• AirVet: 24/7 virtual veterinary care at no cost
• Professional training and education, including courses and workshops, internal meetups, and unlimited access to our online learning platforms (LinkedIn Learning, Athena, O’Reilly) and mentoring through our MentorLab program
• Tax-advantaged spending accounts for healthcare, dependent care, and commuting

• 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 with distributed systems concepts and client-server architectures
• Expertise in developing, testing, and debugging production-quality, scalable, multi-threaded, and concurrent systems
• 5+ years of experience developing enterprise solutions in a high-level programming language such as Go, C++, or Java
• Experience with databases and/or storage systems, especially in the public cloud
• 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