Senior Software Engineer

Overview

Join Okta's Data Platform organization as a Senior Software Engineer to build foundational infrastructure, data analytics, and machine learning systems. You will help scale high-volume, low-latency, distributed data-platform services and influence the direction, design, and implementation of solutions.

What you'll do

• Design, implement, and own data-intensive, high-performance, scalable platform components.
• Work with engineering teams, architects, and cross-functional partners on project development, 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.
• Design, build, deploy, and optimize streaming infrastructure.
• Design, build, and deploy the systems that power data analytics and machine learning.

What you'll need

• 4+ years of experience in software development.
• Proficiency in at least one language while being comfortable in more than one backend language, preferably Java or Typescript, Ruby, GoLang, or Python.
• Experience working with at least one of MySQL, Redis, or PostgreSQL.
• Demonstrable knowledge of computer science fundamentals with strong API design skills.
• Comfort working on a geographically distributed extended team.
• The right attitude to the team: ownership, accountability, attention to detail, and customer focus.
• A track record of delivering work incrementally to get feedback and iterating over solutions.
• Comfort with React or similar front-end UI stacks; if not comfortable yet, willingness to learn.

Nice to have

• Experience using cloud-based distributed computing technologies.
• Experience with messaging systems such as Kinesis or Kafka.
• Experience with data processing systems like Flink, Spark, or Beam.
• Experience with storage and compute systems such as Snowflake or Hadoop.
• Experience with coordinators and schedulers like the ones in Kubernetes, Hadoop, or Mesos.
• Experience maintaining security, encryption, identity management, or authentication infrastructure.
• Experience leveraging major public cloud providers to build mission-critical, high-volume services.
• Hands-on experience developing data integration applications for large-scale, petabyte-scale environments, with experience in both batch and online systems.
• Experience contributing to distributed systems or using one or more at high volume or criticality, such as Kafka or Hadoop.

Details

• Location: Bengaluru, India.
• The analytics infrastructure stack includes Kinesis, Flink, ElasticSearch, and Snowflake.
• The team works with a geographically distributed extended team.