Okta

2 weeks ago

Staff Software Engineer, Data Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Build and own data-intensive, high-performance platform components for Okta’s Data Platform team. You’ll design, deploy, and optimize streaming infrastructure that powers data analytics and ML, working across engineering teams, architects, and partners. Using technologies like Kinesis, Flink, Elasticsearch, and Snowflake, you’ll lead reliability-focused improvements, run design and code reviews, tune performance, and debug production issues while mentoring engineers.

Location: Bengaluru

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

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

Key Requirements

•8+ years of experience with object-oriented programming, preferably Java.
•Hands-on experience with cloud-based distributed computing technologies and messaging systems such as Kinesis and Kafka.
•Experience with data processing systems such as Flink, Spark, and Beam, plus storage/compute like Snowflake and Hadoop.
•Experience developing and tuning highly scalable distributed systems with strong software engineering principles.
•Solid understanding of multithreading, garbage collection, memory management, and reliability engineering for data quality, data observability, and incident management.

Experience:8+ yearsData platformStreaming analyticsDistributed systemsMachine learningReliability engineering

Skills:OwnershipCross-functional collaborationMentorshipPerformance tuningProblem-solving

Languages:English

Tech Stack:JavaKinesisKafkaFlinkSparkBeamSnowflakeHadoopKubernetesMesosElasticSearchAWS

Company Brief

Okta

Provides identity and access management cloud solutions that help organizations secure and manage user authentication, single sign-on, multi-factor authentication, and lifecycle management across applications and devices.

Industry: Cybersecurity

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2009

Website LinkedIn

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Okta

2 weeks ago

Staff Software Engineer, Data Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: Bengaluru

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

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

Key Requirements

•8+ years of experience with object-oriented programming, preferably Java.
•Hands-on experience with cloud-based distributed computing technologies and messaging systems such as Kinesis and Kafka.
•Experience with data processing systems such as Flink, Spark, and Beam, plus storage/compute like Snowflake and Hadoop.
•Experience developing and tuning highly scalable distributed systems with strong software engineering principles.
•Solid understanding of multithreading, garbage collection, memory management, and reliability engineering for data quality, data observability, and incident management.

Experience:8+ yearsData platformStreaming analyticsDistributed systemsMachine learningReliability engineering

Skills:OwnershipCross-functional collaborationMentorshipPerformance tuningProblem-solving

Languages:English

Tech Stack:JavaKinesisKafkaFlinkSparkBeamSnowflakeHadoopKubernetesMesosElasticSearchAWS

Company Brief

Okta

Industry: Cybersecurity

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2009

Website LinkedIn