Sr Software Engineer, Distributed Cloud

7 - 12 years

11 - 16 Lacs

bengaluru

Posted:2 days ago| Platform:

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Skills Required

schema networking routing troubleshooting debugging continuous integration python dns warehouse apache flink microservices pipeline query optimization java data modeling saas stream processing spark kafka cloud-native development

Work Mode

Work from Office

Job Type

Full Time

Job Description

Sr Software Engineer, Distributed Cloud Data Platform

Position Summary

Join a revolutionary team of Distributed Cloud Data platform, Analytics, Cloud service specialists to build core data system, analytics, telemetry, AI/Generative AI powered services at scale in the growing field of multi-cloud SaaS (Software as a Service), Security and Multi Cloud Networking solutions.
We are looking for a Sr. Software Engineer to join our Data platform and service team to accelerate data platform and data and telemetry missions in the F5 Distributed Cloud Platform Group.
As a critical member of the Distributed Cloud Data platform team, you will be responsible for the design and development of the data systems and observability for the new landscape of F5 SaaS products .

Responsibilities

Build F5 Distributed Cloud data system and innovate in next Gen data and analytics platform
Accelerate the deployment, automation and operations of the data platform across on Prem and Cloud
Implement observability strategies and performance monitoring of system
D esign/develop/enhance data, analytics, AI/Gen AI powered service on SaaS platform
D esign/develop/enhance telemetry and metrics pipeline and services
Work closely with product, marketing, operation, platform, and customer support team to create innovative solution for Cloud product delivery

Required Qualifications

Bachelors degree in computer science or equivalent professional experience (7+ years).
Proficiency in Cloud native development and programming languages such as GO, Java, Python
Extensive hands-on experience in data platform and SaaS products
Proficiency in data/ stream processing (e.g., Kafka, Pubsub , Dataflow,Vector , Spark, Flink), database and data warehouse (e.g., ClickHouse , StarRocks , Elasticsearch, Big Query), analytics and AI platform ( e.g. Databricks, Snowflake)
Expertise in streaming, warehouse/data lake performance tuning, and query optimization
Proficiency in deployment and automation of data system , analytics pipeline across on Prem and Cloud
Expertise in data model, schema registration and evolution, and event-driven architectures, compliance in data pipelines ( e.g. GDPR, PII masking, encryption)
Experience with logs, metrics, telemetry, Prometheus, Open Telemetry , distributed tracing
Experience with data system observability, monitoring, alerting, quality and performance
Experience in SaaS multi-tenancy, onboarding, metering & billing, monitoring & alerting
Experience with container and orchestration technologies, Kubernetes and Microservice
Experience with automation and cloud Infra, tooling, workload, modern CI/CD
Strong analytical, troubleshooting, and end to end debugging skills in data system and pipeline with extensive knowledge from network, routing, Infra, underlay to VPN, DNS, Load Balancer technologies

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