Platform Engineer

#DataPlatformEngineer #SRE #SiteReliabilityEngineering #DataSRE #PlatformEngineer #BigDataJobs #Kubernetes #EKS #GKE #DevOps #CloudEngineering #DataInfrastructure #DistributedSystems #LinuxJobs #PythonJobs #Terraform #InfrastructureAsCode #HiringNow #ImmediateJoiners #Remote Job Title: Data Platform Engineer Location: Remote, India Experience: 5+ Years Job Type: Full-Time Work Timing: Multiple Shifts (UK / US EST / US PST) On-Call Support: Yes Start Date: ASAP (Immediate / Early Joiners Preferred) Job Summary We are seeking highly skilled and dedicated Data Platform Engineers to build, operate, and scale large-scale data services that power mission-critical global products. This role is ideal for engineers who excel at designing reliable systems, reducing toil through automation, and collaborating closely with development teams to deliver seamless, high-availability data platforms. If you love architecting distributed systems, solving complex infrastructure problems, and ensuring platforms “just work,” this role is for you. Role Description Our client operates planet-scale Cloud Services infrastructure , and the Data Platform SRE team is responsible for managing large-scale data systems across both bare-metal and cloud environments. You will work in an embedded SRE model , partnering directly with engineering teams to ensure system reliability, optimize performance, architect distributed systems, and drive automation across the data stack. This includes observability, SLO-driven operations, incident management, and end-to-end reliability engineering for services used globally. You will work with a mix of open-source, vendor, and internally developed tools across globally distributed data centers. Key Responsibilities Platform Reliability & Operations Operate and support production data platforms at scale across internal and public cloud environments. Perform capacity planning, performance testing, disaster recovery planning, and manage distributed systems. Participate in a 24x7 on-call rotation to ensure service availability. Embedded SRE Collaboration Work closely with partner engineering teams in a unified SRE model. Implement and enforce consistent incident management processes. Define and maintain user-journey–based SLOs with strong observability metrics. Data Platform Engineering Architect, deploy, tune, and troubleshoot Big Data ecosystem tools: Apache Spark, Flink, Airflow, Hive, Hadoop/HDFS, Trino, Druid , etc. Manage storage and coordination systems such as Cassandra, Zookeeper, Redis , and cloud/block/blob storage technologies. Automation & Tooling Reduce operational toil through automation and tooling improvements. Author and release code using Go, Python, Java, or Scala . Leverage configuration management, IaC, and CI/CD pipelines. Infrastructure & Systems Engineering Work with Kubernetes-based environments at scale (EKS/GKE preferred). Manage Linux systems, containers, virtualization, and networking components. Diagnose complex issues using strong scientific and analytical troubleshooting. Must-Have Skills Strong hands-on Kubernetes experience. Experience with Amazon EKS and/or Google Kubernetes Engine (GKE). Proficiency in Python (basic to mid-level coding capabilities). Experience supporting Linux systems in production environments. Expertise in Big Data technologies: Spark, Flink, Airflow, Hive, Hadoop/HDFS, Trino, Druid, etc. High-availability systems architecture knowledge. Hands-on experience with Terraform or other Infrastructure-as-Code tools. Nice-to-Have Skills Java programming experience. Experience with Pulumi (Infrastructure-as-Code).