Cloud Platform Engineer

About Accenture

Qualifications

• 8+ years in software development and testing, with at least 3 years in Cloud Native SaaS applications.
• Experience working on AI/ML initiatives or certifications in AI technologies is a strong plus.
• Experience in object-oriented/modern languages (C#, Java, Go etc.)
• Understanding of software design patterns
• Proficient in RESTful API, Open API design and development, and database technologies (RDBMS, NoSQL).
• Proficiency with CI/CD pipelines, containerization (Docker, Kubernetes) and infrastructure as code (Terraform, CloudFormation, etc.).
• Hands-on experience with event driven architecture (e.g., Kafka, Pulsar, SNS/SQS).
• Experience in designing and implementing scalable test automation strategies using modern frameworks and tools such as Playwright, Cypress, Selenium, TestNG etc., with integration into CI/CD pipelines (e.g., GitHub Actions, Azure DevOps, Jenkins) and cloud-based testing platforms.
• Experience with front-end technologies (e.g. React, Angular) is a strong plus.
• Experience designing and delivering AI solutions using modern software engineering practices and cloud technologies (e.g., Azure, AWS, GCP), with a strong focus on Generative AI and Large Language Models (LLMs).
• Demonstrated problem-solving skills for complex tech challenges.
• Excellent communication, interpersonal, presentation, and facilitation skills across time zones.
• Own the Outcome: Commit to milestones and demonstrate unwavering support for team decisions. If you are unsure, ask.
• Work with Purpose: Foster a We Can mindset where results outweigh effort everyone understands how their roles contribute to team outcomes.
• Act with Urgency: Adopt an agile mentality with a focus on quick iterations and resilience.
• Communicate with Clarity: Be clear, concise, and actionable. Embrace constructive feedback.
• Drive to Decision: Make decisions swiftly with defined deadlines and accountability.
• You will be working with a Trusted Tax Technology Leader, committed to delivering reliable and innovative solutions
• 15 years full time education

Preferred Qualifications

• Education: Master s degree (preferred) or bachelor s degree in computer science, engineering, or a related field (or equivalent experience).
• Understanding of security best practices and frameworks. Knowledge of Snyk is a plus.

Responsibilities

• Technical Leadership: Adopt engineering best practices on architecture, and technology choices. Lead and mentor junior engineers, guide technical design and architecture discussions, and identify design pattern needs.
• AI Execution: Execute on the mission of AI integration across our product suite, including Generative AI, NLP, and predictive analytics.
• Development: Design, code (hands-on), and maintain (proactive monitoring, troubleshooting) software solutions using object-oriented or modern languages (C#, Java, Go etc.)
• Test: Create test scenarios and design, develop, and execute corresponding automated tests.
• Cloud Infrastructure: Experience with major cloud providers like AWS, Azure or GCP. Understanding of Infrastructure as Code (e.g. Terraform, CloudFormation, Helm etc.)
• Collaboration: Excel in global cross-functional teams, including product management and architecture.
• Code Reviews: Utilize code reviews to ensure code quality, performance and maintainability, as well as mentoring opportunities.
• Continuous Improvement: Champion a culture of continuous improvement by driving engineering excellence, conducting root cause analyses, and implementing feedback loops to enhance code quality, team productivity, and system reliability.