Sr. Product Software Engineer I - 484

Amazon • Bachelor's Degree • PowerShell • Python • QlikSense • 5 days ago
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Salary
≈ $37k – $76k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 6+ years exp
Overview
Company
Impact
Profile match

Amazon

Amazon is an American technology and retail conglomerate founded by Jeff Bezos in 1994 as an online bookstore and headquartered in Seattle, Washington. It operates the world's largest online marketplace together with a global logistics network, physical grocery stores and a third-party seller platform that accounts for most units sold. Amazon Web Services, launched in 2006, is the leading public cloud provider and generates the majority of the group's operating profit, while advertising, Prime Video, Alexa devices and Kuiper satellite broadband round out the business.
amazon.com • HQ: Seattle, United States • Cybersecurity • Information Technology • Data & Analytics • Artificial Intelligence • Streaming & OTT Platforms • Media & Entertainment • Sales & Marketing • Advertising • Marketplaces • Cloud Computing • E-commerce Platforms • 5000+ employees • Est. 1994

Requirements:

  • 6+ years of experience in BI/analytics platform support or infrastructure engineering, with at least 2+ years in a senior or lead role.
  • Hands-on experience administering Snowflake, MicroStrategy SaaS, Qlik, Looker, or Semarchy.
  • Strong expertise with AWS services relevant to BI platforms (RDS, S3 Lambda, IAM, VPC).
  • Proficiency in observability tools (Datadog, CloudWatch, or Prometheus) for monitoring and alerting.
  • Proven track record of incident response and root cause analysis for high-severity platform incidents.
  • Experience with infrastructure-as-code (Terraform) and scripting (Python, Bash, PowerShell, etc. ) for automation.
  • Strong problem-solving skills and ability to collaborate across engineering and BI/reporting teams.
  • Bachelor's degree in computer science, engineering, or a related technical field (or equivalent experience).

Preferred Qualifications:

  • Certifications such as MicroStrategy Certified System Administrator (Cloud), Qlik Sense System Administrator, or AWS Certified Solutions Architect - Associate.
  • Experience supporting CI/CD workflows (GitLab, Jenkins, GitHub Actions) for BI or analytics platform deployments.
  • Familiarity with AIOps or automated monitoring practices to improve platform stability and reduce manual effort.
  • Background in large-scale enterprise BI environments, ensuring performance, scalability, and security.
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