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Tier-1 brand, metro location, generalist mid-level platform engineer title increases applicant competition.
Core DevOps and SRE skills are highly transferable across industries, so low background sensitivity.
Explicit 3+ years and mandatory cloud, CI/CD, SRE, and tooling experience makes filtering stringent.
Design, develop, and maintain secure, scalable software solutions across multiple technical areas supporting business objectives.
Leverage AI-assisted development tools to improve code quality, speed, and productivity while ensuring secure coding standards.
Own architecture and design artifacts for complex applications, ensuring integration of continuous improvement from data insights and system analysis.
3+ years of applied software engineering experience with formal training or certification.
Hands-on experience in Java/Python, cloud platforms (AWS/Azure/Google), automation, monitoring tools (Dynatrace, Splunk, Prometheus/Grafana), and CI/CD pipelines including progressive delivery techniques.
Experience in production operational stability practices including incident response, root-cause analysis, observability-driven debugging, and SRE mindset.
Work Experience Required: Minimum 3 years; Notice Period: Not explicitly mentioned in the JD.
Experienced in large corporate environments, proficient in system design, development, testing, and application operational stability.
Strong familiarity with AI-assisted software development tools and responsible AI practices within engineering workflows.
Skilled in agile methodologies (CI/CD, resiliency, security) with ability to handle end-to-end pipeline ownership and production incident management.