Job
Description
Job Summary Our TechOps Engineers are the frontline team keeping our large fleet of cloud-hosted Apache Kafka, Cassandra, OpenSearch, Cadence, Valkey, Clickhouse and PostgreSQL clusters up and running. Every day you will diagnose and solve challenging and interesting technical problems providing a service that is relied on by some of the leading global names in tech to deliver for millions of end users. Our service is relied on by some of the leading global names in Banking and Financial Services, Telecom, IoT and Tech companies that interact with millions of end users. This role is for Tech-ops engineer, primarily focusing on Apache Kafka Opensource technology - that includes operating, maintaining, upgrading and continuously improving the Managed Service for Kafka (across AWS, Azure and GCP) to deliver a great customer experience. This role includes participating in a rotating Level-2 roster. Job Requirements Good Cloud operational knowledge (AWS or Azure or GCP) Preferably have past IT Customer service/support experience. Strong knowledge and experience with Linux and be comfortable working from the command line (essential) Good fundamental Computer science / software engineering skills and knowledge, particularly Operating System internals, memory management, and networking. Investigating/researching Kafka issues by reviewing the Apache Kafka codebase or Kafka Jira project would be a plus. Programming skills in Python or Java, and source code control using Git would be a plus. Be a proactive, reliable, and supportive member of the Technical Operations team for Kafka, and participate in a rotating L2 shift roster. Provide expert operational support to our nodes running in the cloud (AWS, Azure, and GCP), using technologies such as Linux (Debian), Docker, and languages including Java, Python and bash. Liaise with our customers’ engineers in resolving interesting issues related to Apache Kafka usage and other supported technologies. Undertake complex cluster operations such as migrations, upgrades, and maintenance on our fleet. Develop and continually improve our suite of internal automation tools, applications, and processes. Education A minimum of 5 years of experience is mandatory, while 5 to 8 years of experience is highly desirable. A Bachelor of Science Degree in Electrical Engineering or Computer Science, a Master's Degree, a PhD, or equivalent experience is required..
