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IT(Software/Hardware)

Sr Software Engineer I - Data Platform & Cloud Infrastructure (AWS EKS / Terraform / Databricks / Spark / Flink / Airflow)

Disney

Role Overview

Disney (Disney India Private Limited – Disney Entertainment and ESPN Product & Technology) is seeking a Sr Software Engineer I (Sr Product Development Engineer I) to join its Ad Platforms infrastructure team in Bengaluru, Karnataka, India. In this production-focused platform and data infrastructure engineering role, you will maintain, automate, and optimize the AWS cloud infrastructure powering high-scale Ad Technology data pipelines—supporting Apache Airflow (MWAA), Databricks, Apache Spark, and Apache Flink workloads running on Amazon EKS.

Core Responsibilities

  • Production Platform Operations: Provide hands-on operational support for high-throughput production Amazon EKS workloads, CI/CD pipelines, and core AWS infrastructure powering Disney's Ad Technology ecosystem.
  • Infrastructure Automation: Build and maintain reusable Terraform modules, automation scripts, and diagnostic tooling to streamline pod health monitoring, deployments, and platform operations.
  • Incident Response & Root Cause Analysis: Lead triage, recovery, and deep root-cause analysis for high-severity production incidents across EKS, Istio service mesh, and CI/CD pipelines across globally distributed teams.
  • Runbooks & Reliability Standards: Author clear operational runbooks, define infrastructure best practices, and continuously enhance system reliability and performance.
  • Cross-Functional Delivery: Partner closely with data engineering, application, and DevOps teams on platform onboarding, shared infrastructure initiatives, and production releases.

Qualifications & Requirements

  • Educational Background: Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).
  • Professional Experience: 6+ years of hands-on experience in infrastructure, platform engineering, or DevOps roles with a strong background supporting large-scale data systems.
  • AWS & Data Infrastructure: Solid operational expertise in AWS (IAM, VPC, EKS, ALB/NLB) alongside production experience managing MWAA (Airflow), Databricks, and Spark/Flink on Kubernetes.
  • IaC, Scripting & CI/CD: Working proficiency with Terraform, scripting languages (Python, Go), CI/CD platforms (Jenkins, Spinnaker), and Kubernetes networking/security (TLS, DNS, IAM, Istio).
  • On-Call & Collaboration: Proven experience participating in on-call rotations and driving incident resolution across globally distributed engineering squads.
  • Preferred Qualifications: Familiarity with Datadog or Prometheus observability, AIOps automation, Azure/GCP cloud platforms, AWS/Databricks cost optimization, and regulated compliance environments (SOX, CCPA).

About Disney Entertainment & ESPN Product & Technology

Disney Entertainment and ESPN Product & Technology builds the global technological backbone behind The Walt Disney Company’s media, streaming, and advertising businesses—including Disney+, Hulu, ESPN, and ABC. Uniting storytelling with engineering excellence, our technologists design scalable platforms that connect millions of fans worldwide with iconic content and live events.

Important Candidate Notice

This job posting and its descriptions are owned by Disney . We provide this overview to help developers discover opportunities. For applications, responses, or follow-ups, please connect with Disney directly. Job Central Hub does not process applications or review candidate queries.

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Overview
Expected Salary ₹24 - ₹38 Lakhs/Annum
Experience Required 6 - 10 Years
Last Date to Apply Continuous Recruitment
Posted On 14-11-2026
Mandatory Skills
AWS Cloud Infrastructure (IAM / VPC / EKS / ALB & NLB) Kubernetes (EKS) Terraform (Infrastructure as Code) Apache Airflow (MWAA) Databricks Apache Spark Apache Flink CI/CD Pipelines (Jenkins / Spinnaker) Istio Service Mesh Python Go Cloud Security & Networking (TLS / DNS / IAM) Production Support & Incident Management Root Cause Analysis (RCA)
Preferred Skills
Datadog Prometheus AIOps & Support Automation Microsoft Azure Google Cloud Platform (GCP) AWS & Databricks Cost Optimization SOX & CCPA Compliance