Staff Engineer, Raniganj

Job Description Provide strategic technical leadership in defining and evolving cloud-native platform architecture across products and domains. Lead the design and implementation of scalable, resilient, and secure AWS-based architectures aligned with best practices and Well-Architected Framework.Guide development of scalable MLOps and data platforms using Python, AWS (SageMaker, Lambda, Step Functions, S3, ECR), and containerisation (Docker, ECS/Fargate/EKS). Oversee end-to-end architecture decisions, ensuring alignment with business goals, scalability, and cost optimisation strategies. Lead and influence cross-functional teams (Architecture, Product, CloudOps, Engineering) to accelerate adoption of platform capabilities.Establish best practices for system design, coding standards, testing, CI/CD, and operational excellence. Mentor and coach senior engineers, encouraging engineering excellence and building future technical leaders. Improve performance optimisation, reliability improvements, and defect prevention programs across systems.Partner with leadership to define long-term platform vision, roadmap, and innovation strategy. Act as an important technical advisor to leadership and team members, translating complex technical decisions into outcomes. You will be reporting to a Senior Manager Qualifications Bachelor's degree in Computer Science or related field Master's preferred.You need to have 12+ years of experience in software engineering, including significant experience as a Staff or Principal Engineer. You need to have 7+ years of experience designing and delivering cloud-native solutions on AWS at scale. Experience with MLOps platforms such as AWS SageMaker, Kubeflow, or MLflow.Hands-on programming experience using Python and modern frameworks (Flask, FastAPI, AsyncIO). Expertise in CI/CD pipelines, DevOps practices, and infrastructure-as-code. Experience messaging systems such as Kafka, RabbitMQ, or SQS. Strong knowledge of system reliability, observability, and performance tuning.Experience working in Agile/Scrum environments with globally distributed teams. Nice to Have Experience with monitoring tools such as Dynatrace or Splunk. Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn. Hands-on experience with workflow orchestration tools such as Airflow.Experience building automated data pipelines and real-time analytical systems. Exposure to cost optimisation strategies in cloud environments. Additional Information Our uniqueness is that we truly celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what truly matters DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward&recognition, volunteering... the list goes on. Experian's strong people first approach is award winning Great Place To Work™ in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why.Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, color, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.Experian Careers - Creating a better tomorrow together Benefits Experian care for employee's work life balance, health, safety and wellbeing. In support of this endeavor, we offer best-in-class family well-being benefits, enhanced medical benefits and paid time off. #LI-Onsite Experian Careers - Creating a better tomorrow together