Senior Engineer, Veeam
Hyperscale Analytics
$237.8-441.5k
OTE
Office located in San Jose, CA
Data backup & recovery platform
Open for applications
Data backup & recovery platform
1001+ employees
Open for applications
$237.8-441.5k
OTE
Office located in San Jose, CA
1001+ employees
Company mission
To empower every organization to not just bounce back from a data outage or loss but bounce forward.
Role
Who you are
- 6+ years of professional software engineering experience, with a significant portion focused on data infrastructure, distributed systems, or large-scale analytics platforms
- Deep experience with distributed data processing frameworks (e.g., Spark, Flink, or similar)
- Strong background in cloud-scale data architecture (AWS, Azure, or GCP) — data lakes, warehouses, streaming platforms
- Proficiency in one or more of: Python, Java, Scala, or Go
- Experience with modern data warehouse/lakehouse technologies (e.g., Snowflake, Databricks, BigQuery, Redshift)
- Solid understanding of data modeling, ETL/ELT design, and pipeline orchestration (e.g., Airflow, dbt)
- Track record of designing for scale, reliability, and cost efficiency in production systems
Desirable
- Experience with HTAP (Hybrid Transactional/Analytical Processing) systems or real-time analytics platforms
- Familiarity with data lakehouse architectures and formats like Parquet, ORC, Delta, Iceberg, Hudi
- Knowledge of containerized deployments (Docker, Kubernetes) and cloud-native data architectures (AWS Redshift, GCP BigQuery, Azure Synapse)
- Background in query engine development or contributing to open-source OLAP/OLTP frameworks
What the job involves
- We are seeking exceptional Senior Engineer- Hyperscale Analytics to design and scale next-generation data processing and analytics platforms that power OLTP, OLAP, and large-scale distributed data systems. You will build and optimize pipelines and services that handle billions of records daily, enabling real-time transactions, analytical insights, and AI-driven decisioning
- Transactional & Analytical Systems: Design and implement highly scalable OLTP systems for real-time workloads and OLAP systems for complex analytical queries on massive datasets
- Distributed Processing: Build, optimize, and maintain large-scale batch and streaming pipelines using frameworks such as Apache Spark, Flink, Presto/Trino, or Kafka Streams
- System Performance & Scale: Optimize systems for low-latency queries, high-throughput ingestion, and interactive analytics, ensuring seamless performance as data volumes scale to petabytes
- Data Infrastructure: Develop and integrate with modern storage and processing systems (e.g., Snowflake, BigQuery, Redshift, Cassandra, HDFS, Delta Lake, Iceberg) to support hybrid analytical/transactional workloads
- Reliability & Observability: Ensure high availability, reliability, and monitoring across large compute and storage clusters with automated failover and recovery
- Collaboration: Partner with data scientists, ML engineers, and product teams to build unified, secure, and cost-efficient data platforms
Our take
The increasing reliance of businesses on data, plus the growing volume of data generated, is making organisations more vulnerable to cyberattacks. Veeam is a leading provider of backup, recovery, and data management solutions, focusing on simplifying the recovery process whilst also making it more capable and efficient.
The company's solutions focus on simplifying backups for virtual machines, achieving any recovery objective, maximising investments and reducing management overhead. It currently safeguards data for over 400,000 customers worldwide, including over 80% of the Fortune 500 and 70% of the Global 2,000.
Veeam also continuously introduces product updates, such as cloud-native solutions to protect data across AWS, Azure, and Google Cloud. It has recently appointed new leadership to help drive growth and product development across international markets, as it aims to sustain its leadership position and help clients fight back against increasingly sophisticated cyberattacks.
Freddie
Company Specialist at Welcome to the Jungle
Insights
12% employee growth in 12 months
Company
Funding (1 round)
Jan 2019
$500m
GROWTH EQUITY VC
Total funding: $500m
Company benefits
- Unlimited paid time off, plus 3 global VeeaMe Days for self-care
- Paid parental leave: 8 weeks for all parents, 16 weeks for birthing parents
- Medical, dental, and vision coverage from day one
- Mental health support, therapy sessions, and digital wellness tools via SupportLinc EAP
- 401(k) retirement plan with matching contributions up to annual limits
- 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
- 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
Company HQ
Lakeview, Kirkland, WA
Leadership
Anand Eswaran
(President & CEO)Former President and Chief Operating Officer at RingCentral, Founding Advisory Board Member of the Technology Services Industry Association (TSIA), and former Corporate Vice President (various departments) at Microsoft. Previous Vice President of Global Services at SAP (Executive), Hewlett-Packard, and Vignette Corp.
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