Software Engineer/ Tech Lead, Securiti

Scalable Data & Analytics Systems

$150-210k

OTE

Equity Details - eligible for stock options

SQL

AWS

Docker

Kubernetes

GCP

Python

Scala

Java

Kafka

Azure

Redshift

Spark

Flink

BigQuery

Hive

Parquet

Senior and Expert level

San Francisco Bay Area

Office located in San Jose, CA

Unified data intelligence & cloud security

Be an early applicant

Unified data intelligence & cloud security

501-1000 employees

B2BArtificial IntelligenceEnterpriseCompliancePrivacySaaSCyber Security

Be an early applicant

$150-210k

OTE

Equity Details - eligible for stock options

SQL

AWS

Docker

Kubernetes

GCP

Python

Scala

Java

Kafka

Azure

Redshift

Spark

Flink

BigQuery

Hive

Parquet

Senior and Expert level

San Francisco Bay Area

Office located in San Jose, CA

501-1000 employees

B2BArtificial IntelligenceEnterpriseCompliancePrivacySaaSCyber Security

Company mission

To enable enterprises to safely harness the incredible power of data and the cloud by controlling the complex security, privacy and compliance risks.

Job

Company

Role

Who you are

Strong proficiency in Java, Scala, Python, or Go, with proven experience building distributed back-end systems
Deep understanding of database internals, query optimization, indexing, and ACID vs. eventual consistency trade-offs
Hands-on experience with big data frameworks (Spark, Flink, Kafka) and distributed SQL engines (Presto, Trino, Hive, Impala)
Expertise in designing OLAP/OLTP architectures for scale and high concurrency
Solid grounding in distributed systems, concurrency, parallelism, and caching techniques

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 Software Engineers to design and scale next-generation data processing and analytics platforms that power OLTP, OLAP, and large-scale distributed data systems
Securiti AI enables secure use of Enterprise AI and Data. To accomplish this mission, we analyze very large amounts of unstructured and structured data to establish Data and AI Security hygiene. As we serve large enterprises with massive amounts of data, we are geared to one of the biggest processors of data globally
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
You will build and optimize pipelines and services that handle billions of records daily, enabling real-time transactions, analytical insights, and AI-driven decisioning
What Success Looks Like:
OLAP systems that deliver interactive sub-second query performance across petabyte-scale datasets
Spark and distributed pipelines that power real-time and batch processing for AI/ML and business analytics at enterprise scale

Our take

As businesses take advantage of data and the cloud, they are increasingly encountering difficulties with managing their compliance, data security and privacy. Aside from operational and ethical concerns, companies are regularly punished with huge fines for failures in this area. Securiti exists to make harnessing data safe, using AI to ensure that information is managed in a way that's secure and compliant.

Securiti is not alone in the data protection market. It has larger AI-powered competitors in OneTrust and Immuta, both able to identify and control at-risk data. However, Securiti's platform is unique in bringing together all controls around data in a single command centre. This solution has found favour with numerous Enterpise customers including Cisco, Hertz, Dell and CapitalOne.

Securiti has grown swiftly and raised considerable funds over the years. This has allowed it to expand its headcount, develop its product and increase its market share. And, as concerns surrounding the safe adoption of AI have risen, it has released solutions that specifically target these concerns. This shows that it can keep pace with evolving market needs.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

57% employee growth in 12 months

Glassdoor (4.1)

Company

Funding (last 2 of 3 rounds)

Oct 2022

$75m

SERIES C

Jan 2020

$50m

SERIES B

Total funding: $156m

Company HQ

West Valley, San Jose, CA

Leadership

Rehan Jalil

(President & CEO)

Venture Advisor at Mayfield Fund, and former Board Member at Common Sense Media. Previously SVP and GM of Cloud Security at Symantec, and CEO of Elastica.

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