Staff Software Engineer, Data Platform
Okta
Bengaluru, IndiaPosted 27 days ago
Skill Required
SW Eng - Infrastructure-672Data EngineerPlatform EngineerSoftware EngineerSoftware DeveloperSystem DesignQuery OptimizationMachine LearningElasticsearchObservabilityEngineeringKubernetesCryptographySnowflakedesigningsecuritybuildingHadoopdesignSparkKafkaFlinkCloudDesign PatternsJavaIAMAWSAI
Key highlights
- 8+ years experience in Java or a similar object‑oriented language
- Requires expertise in Kinesis, Kafka, Flink, Spark, Beam, Snowflake, Hadoop, Kubernetes and Mesos
- Opportunity to own and scale high‑performance data infrastructure for ML and analytics
- Significant equity in the company as a key benefit
- Hybrid work arrangement (#LI‑Hybrid)
- Focus on high‑volume, low‑latency, distributed data‑platform services
Role overview
Okta’s Data Platform team is looking for experienced Software Engineers to design, build, and operate high‑performance, scalable, distributed data‑platform services and products that enable streaming analytics, interactive reporting, and machine‑learning workloads across the organization. The role focuses on leveraging modern cloud‑based technologies (Kinesis, Flink, ElasticSearch, Snowflake, etc.) to deliver secure, reliable analytics infrastructure while collaborating with cross‑functional partners, mentoring teammates, and driving performance and reliability improvements.
Responsibilities
- Design, implement and own data‑intensive, high‑performance, scalable platform components
- Work with engineering teams, architects and cross‑functional partners on the development of projects, design, and implementation
- Conduct and participate in 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 levels of the stack
Requirements
- 8+ years of experience in object‑oriented language, preferably Java
- Hands‑on experience using a cloud‑based distributed computing technologies including messaging systems such as Kinesis, Kafka
- Data processing systems like Flink, Spark, Beam
- Storage & Compute systems such as Snowflake, Hadoop
- Coordinators and schedulers like Kubernetes, Hadoop, Mesos
- Experience in 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 specifically in areas such as data quality, data observability and incident management
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 in developing Data Integration applications for large scale (petabyte scale) environments with experience in both batch and online systems
- Contributed to the development of distributed systems or used one or more at high volume or criticality such as Kafka or Hadoop
- Experience developing Kubernetes based services on AWS Stack
Benefits
- Significant equity in the company
- Hybrid work option (#LI‑Hybrid)
- Immersive in‑person onboarding experience
- Global community spanning over 20 offices worldwide
- Support for well‑being, social impact, talent development and community connection
Additional details
- Secure Every Identity, from AI to HumanIdentity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era.
- Okta is an enterprise grade identity management service, built from the ground up in the cloud and delivered with an unwavering focus on customer success.
- The Okta service provides directory services, single sign‑on, strong authentication, provisioning, workflow, and built‑in reporting.
- It runs in the cloud on a secure, reliable, extensively audited platform and integrates deeply with on premises applications, directories, and identity management systems.
- The Data Platform team solves challenges and enables: streaming analytics, interactive end‑user reporting, data and ML platform for Okta to scale, telemetry of our products and data.
- Our elite team is fast, creative and flexible. We encourage ownership. We expect great things from our engineers and reward them with stimulating new projects, new technologies and the chance to have significant equity in a company.
- We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate.
- Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran.
- We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
- If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
- Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process.