Staff Software Engineer

Okoro James

Bengaluru

On-site

INR 3,800,000 - 6,500,000

Full time

14 hours ago
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Job summary

Okta's Data Platform team is hiring experienced Software Engineers to build scalable data-platform services and data products that power analytics and ML workloads. You will design and deploy systems using modern tech like Kinesis, Flink, ElasticSearch, and Snowflake to scale for years to come.

You will own the streaming infrastructure, collaborating with cross-functional teams to drive architectural decisions and deliver high-volume, low-latency solutions.

Qualifications

  • 8+ years of experience in object-oriented language, preferably Java.
  • Hands-on experience with 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.
  • Strong software engineering principles; multithreading, GC and memory management.
  • Experience with reliability engineering in data quality, observability and incident management.

Responsibilities

  • Design, implement and own data-intensive, high-performance, scalable platform components.
  • Collaborate with engineering teams, architects and cross-functional partners on projects.
  • Conduct and participate in design reviews, code reviews, analysis, and performance tuning.
  • Coach and mentor engineers to scale the engineering organization.
  • Debug production issues across services and stack.

Skills

Java
Distributed systems
Multithreading
Cloud computing
Kinesis
Kafka
Flink
Spark
Beam
Snowflake
Hadoop
Kubernetes
Mesos

Tools

Kinesis
Kafka
Flink
Spark
Beam
Snowflake
Hadoop
Kubernetes
Mesos

Job description

Secure Every Identity, from AI to Human
Identity 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. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

Secure Every Identity, from AI to Human
Identity 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. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

About Okta

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. With Okta you can manage access across any application, person, or device. Whether the people are employees, partners, or customers, or the applications are in the cloud, on premises, or on a mobile device, Okta helps you become more secure, make people more productive, and maintain compliance.

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.

About the Team

The Data Platform team is responsible for the foundational data services, systems, and data products for Okta that benefit our users. Today, 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. Okta is about to change the cloud computing landscape forever.

About the Position

This is an opportunity for experienced Software Engineers to join our fast growing Data Platform organization that is passionate about scaling high volume, low-latency, distributed data-platform services & data products. In this role, you will get to work with engineers throughout the organization to build foundational infrastructure that allows Okta to scale for years to come. As a member of the Data Platform team, you will be responsible for designing, building, and deploying the systems that power our data analytics and ML. Our analytics infrastructure stack sits on top of many modern technologies, including Kinesis, Flink, ElasticSearch, and Snowflake.

We are looking for experienced Software Engineers who can help design and own the building, deploying and optimizing the streaming infrastructure. This project has a directive from engineering leadership to make OKTA a leader in the use of data and machine learning to improve end-user security and to expand that core-competency across the rest of engineering. You will have a sizable impact on the direction, design & implementation of the solutions to these problems.

Job Duties and 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
Required Knowledge, Skills, and Abilities:
  • 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 the ones in 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

We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
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. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.

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