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Senior Software Engineer, Actimize (Python, AWS, AI)
Senior Software Engineer, Actimize (Python, AWS, AI)
As a Senior Software Engineer, Actimize, you will be a technical leader in the AI Platform team, developing the next-generation advanced analytical cloud platform. Your role involves designing and developing scalable, resilient, enterprise-grade products, driving technical tasks, and providing expert guidance to combat financial crime for major financial institutions.
About the role
About the Role
Within Actimize, the AI Platform is developing the next generation advanced analytical cloud platform that will harness the power of data to provide maximum accuracy for our clients’ Financial Crime programs. As part of the PaaS/SaaS development group, you will be responsible for developing this platform for Actimize cloud-based solutions and to work with cutting edge cloud technologies.
How you will make an impact?
- Design, and develop scalable, resilient, and enterprise-grade products from the ground up, serving as a technical leader within the development team.
- Drive end-to-end technical tasks and initiatives, defining the technical approach and ensuring alignment with business goals.
- Serve as a technical subject matter expert, providing guidance, mentorship, and expert-level code reviews to ensure high-quality, maintainable, and efficient solutions.
- Pitch ideas and innovate continuously to take the team and project to the next level.
- Own the technical challenges for high-availability systems, ensuring they meet stringent performance, reliability, and security standards.
- Collaborate effectively in multi-disciplinary Agile teams, adopting Agile methodologies and tools.
- Provide expert-level code reviews, guiding the team in translating complex business requirements into elegant and scalable technical artifacts.
- Implement and improve system monitoring, alerting, and observability.
- Create infrastructure through automation for hosting services on AWS.
- Collaborate with multiple teams and stakeholders to achieve business goals.
- Display a strong sense of ownership and proactiveness, and must have delivered applications that are performant, resilient, and efficient from a cost and operations perspective.
Have you got what it takes?
- 4+ years of experience working in the software industry as a software engineer (part of a SW development team and not a support team).
- Experience building GenAI products using tools like AWS Bedrock and OpenAI is a must.
- Good experience on Prompt Engineering and advanced prompt techniques.
- Expert-level proficiency in Python and a proven track record of implementing Cloud Native solutions on AWS.
- Deep expertise in designing and deploying solutions within the AWS ecosystem, with an in-depth understanding of AWS networking, security, and costing.
- Experience working in and driving Continuous Integration and Delivery (CI/CD) practices using industry-standard tools such as Jenkins, Docker, Kubernetes, and Artifactory.
- Must have architected and deployed complex microservices from scratch on a cloud ecosystem, owning the entire lifecycle from design to production.
- Must have experience in creating docker containers and hosting the same using EKS/ECS.
- Huge advantage: Hands-on experience with AWS components like API Gateway, Glue, EC2, Lambda, S3, CloudWatch, DynamoDB, SQS, AWS Bedrock, etc.
- Experience with DevOps practices and tools like JIRA, Confluence, and Terraform.
- A team player that demonstrates a strong work ethic, creativity, assertiveness, and flexibility.
- Prior experience in the Finance, Fraud, or Anti-Money Laundering (AML) domains is a plus.
- Exposure to GenAI tools like GitHub / Co-pilot is also required.