Sr. SW Engineer (3 - 5 years of exp in Python, AI & Agentic Automation)

Overview

Join Visa's Corporate Reliability Engineering team as a hands-on Senior Software Engineer building secure AI, agentic automation, API and reliability solutions across enterprise Windows, Linux/Unix, Oracle Database and Oracle E-Business Suite (EBS), and Network environments.

What you'll do

• Design and deliver AI/ML applications, LLM-enabled solutions, RAG, agentic workflows, automation frameworks, APIs, integrations, and reusable engineering components.
• Build intelligent capabilities for incident triage, knowledge retrieval, service-health analysis, root-cause investigation, remediation recommendations, and approved automated execution.
• Automate workflows across Windows, Linux/Unix, Oracle Database/EBS, and Network operations through scripting, orchestration, event-driven patterns, and secure API integrations.
• Integrate with approved enterprise ticketing, monitoring, CMDB, knowledge, database, collaboration, source-control, and deployment platforms.
• Engineer for reliability through testing, exception handling, rollback, observability, telemetry, runbooks, support models, operational handoff, and measurable service outcomes.
• Collaborate with infrastructure, cybersecurity, data, architecture, operations, and product teams, and communicate technical decisions, risks, controls, and outcomes clearly.
• Work as an embedded engineering partner with Core Infrastructure, Oracle Database, Network, Security, and Reliability Engineering teams to deliver practical, supportable solutions.
• Share knowledge, document solutions, mentor peers, and support collective problem-solving within a respectful and inclusive engineering culture.
• Follow Visa policies, Key Controls, Technical and Design Security Requirements, approved architecture standards, and the Secure Software Development Life Cycle (SSDLC) throughout design, development, testing, deployment, and support.
• Apply secure coding and participate in code review, security assessment, dependency and open-source review, vulnerability remediation, security testing, and required release approvals before production promotion.
• Protect Visa information according to its classification, enforce least-privilege access, protect credentials and secrets, and maintain traceability through authenticated access, change records, version control, event logging, monitoring, and evidence retention.
• Apply Visa AI governance requirements across the lifecycle, including ownership, risk assessment, data-use review, validation, ongoing monitoring, documented limitations, escalation paths, and controlled retirement or material change.
• Design human oversight and approval gates appropriate to risk, with automated actions kept within approved permissions and guardrails, safe failure handling, rollback, and manual intervention paths.
• Validate generative and agentic AI solutions for quality, reliability, security, privacy, information integrity, and operational risk, documenting evaluation methods, acceptance criteria, evidence, limitations, and monitoring.
• Escalate security incidents, privacy concerns, control gaps, model risks, unexpected AI behavior, and policy exceptions through approved Visa processes.

What you'll need

• Bachelor's degree in computer science, Engineering, Information Technology, or a related field, or equivalent practical experience.
• At least 5 years of professional experience in software development, automation engineering, AI/ML engineering, agentic systems, reliability engineering, platform engineering, or related technical roles.
• Hands-on experience using Claude Code, GitHub, Copilot, and Power Automate.
• Hands-on experience developing maintainable applications, scripts, APIs, integrations, automations, or workflow-based solutions in enterprise IT environments.
• Proficiency in Python and one or more of PowerShell, Bash, or JavaScript/TypeScript, plus experience with Git, testing, debugging, APIs, and CI/CD.
• Familiarity with LLMs, prompt engineering, RAG, embeddings/vector search, agent frameworks, tools or function calling, orchestration, evaluation, guardrails, and human-in-the-loop patterns.
• Strong analytical and problem-solving skills, technical judgment, ownership, adaptability, and clear written and verbal communication.
• Experience integrating with ServiceNow, Jira, GitHub, Azure DevOps, Power Platform, Copilot Studio, monitoring platforms, or enterprise support data.
• Experience in reliability engineering, incident and problem management, root-cause analysis, operational automation, release validation, or controlled deployment.
• Ability to define measurable outcomes such as reduced manual effort, higher automation success, faster analysis, fewer repeat issues, stronger traceability, and improved service reliability.

Details

• Location: Bengaluru, India.
• Visa requires at least 3 days in office; expectations for these days will be confirmed by the Hiring Manager.