Apache Mesos Developer Jobs

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Today

Staff Software Engineer, Data Platform (FedRAMP)

Okta San Francisco, CA

San Francisco, CA

Today

$194k - $267k/yr Full time Backend Developer Apache Beam Apache Mesos

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Job Description

Okta’s Data Platform team is hiring a Staff Software Engineer to build and optimize streaming infrastructure for high volume, low-latency distributed data-platform services and data products.

Responsibilities

Design, implement, and own data-intensive, high-performance, scalable platform components
Partner with engineering teams, architects, and cross-functional stakeholders on project design and implementation
Participate in design reviews, code reviews, analysis, and performance tuning
Coach and mentor engineers to help the organization scale
Debug production issues across services and multiple layers of the stack

Requirements

8+ years of experience in an object-oriented language, preferably Java
Hands-on experience with cloud-based distributed computing technologies, including messaging systems such as Kinesis and Kafka
Hands-on experience with cloud-based distributed computing technologies such as Flink, Spark, and Beam
Hands-on experience with storage and compute systems such as Snowflake and Hadoop
Hands-on experience with coordinators and schedulers such as those in Kubernetes, Hadoop, and Mesos
Experience developing and tuning highly scalable distributed systems
Excellent grasp of software engineering principles
Solid understanding of multithreading, garbage collection, and memory management
Experience with reliability engineering, including data quality, data observability, and incident management
Ability to access federal environments and/or protected federal data, including submitting documentation establishing U.S. Person status upon hire (e.g., U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee per 22 CFR 120.15)

Technologies

Java
Kinesis, Kafka
Flink, Spark, Beam
Snowflake, Hadoop
Kubernetes, Mesos
ElasticSearch

About the Team

The Data Platform team delivers foundational data services, systems, and data products for Okta
Current focus areas include streaming analytics, interactive end-user reporting, data and ML platform capabilities for scaling, and telemetry of products and data
Culture emphasizes ownership, speed, creativity, and flexibility

About the Position

Join Okta’s Data Platform organization to help scale high volume, low-latency distributed data-platform services and data products
Build foundational infrastructure that supports Okta’s long-term scale needs
Design, build, and deploy systems powering data analytics and ML
Work within an analytics infrastructure stack that includes Kinesis, Flink, ElasticSearch, and Snowflake
Own and optimize streaming infrastructure across design, deployment, and performance
Engineering leadership directive: make Okta a leader in using data and machine learning to improve end-user security and expand that capability across engineering

Nice to Have

Maintained security, encryption, identity management, or authentication infrastructure
Leveraged major public cloud providers to build mission-critical, high volume services
Hands-on experience developing Data Integration applications for large scale environments (petabyte scale), with batch and online systems
Contributed to distributed systems and/or used systems at high volume or criticality such as Kafka or Hadoop
Experience developing Kubernetes-based services on AWS Stack

Location

San Francisco, CA (hybrid)

Compensation

USD 194,000 - 267,000 per year

Additional Okta Experience

Supporting Your Well-Being
Driving Social Impact
Developing Talent and Fostering Connection + Community

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