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Tier-1 brand, generic Software Engineer title, mid-level experience band, and metro location increase competition.
Core SRE, cloud, and Kafka skills are broadly transferable across industries.
Multiple explicit mandatory technical filters (3+ years, SRE, Kafka, cloud, CI/CD) raise shortlisting strictness.
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Design, develop, and troubleshoot secure, scalable software solutions across multiple technical areas supporting firm business objectives.
Produce architecture and design artifacts, ensuring code meets design constraints and maintains operational stability in large corporate environments.
Leverage enterprise-authorized AI-assisted development tools to improve code quality, delivery speed, and team effectiveness while validating AI outputs for security and performance.
Minimum 3 years of applied software engineering experience with formal training or certification in software engineering concepts.
Deep knowledge of at least one messaging/streaming technology (e.g., Kafka) and one programming/scripting language (Java, Python, Unix Shell).
Experience using enterprise-authorized AI-assisted software development tools critically and securely within work environments.
Hands-on experience with cloud infrastructure and multiple cloud technologies (e.g., AWS, Kubernetes), and knowledge of automation and CI/CD tools (e.g., Terraform, Jenkins).
Experienced in system design, application development, and operational stability within large corporate environments using modern programming and database languages.
Skilled in applying SRE principles including deployment practices, automation, scaling, and resilience.
Proficient in secure AI use in engineering workflows, able to guide peers on safe AI tool integration and data security compliance.