Back
Strong employer brand, remote flexibility, and a generalist Python software engineer role increase applicant competition.
Core cloud-native Python and microservices skills are highly transferable across industries.
Explicit 8–12 years requirement plus mandatory AWS, microservices, and CI/CD/Terraform skills makes filtering stringent.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Architect, design, and develop scalable, resilient, enterprise-grade cloud-native products primarily in Python for Actimize AI and Analytics SaaS platform.
Own the technical roadmap, ensuring high-availability, performance, reliability, security of cloud microservices hosted primarily on AWS infrastructure.
Lead technical initiatives and Agile teams, including SAFe ceremonies, mentor developers, conduct expert code reviews, and drive DevOps automation and CI/CD practices.
8-12 years of software engineering experience with proven hands-on expertise as an individual contributor in product development (not support).
Expert proficiency in Python and designing complex microservices from scratch using AWS cloud technologies including containerization with Docker and orchestration with EKS/ECS.
Bachelor's or Master’s degree in Computer Science, Data Engineering, or related field.
Experience with CI/CD tools (Jenkins, Docker, Kubernetes), DevOps tools (Terraform), and cloud components such as AWS Glue, Lambda, Step Functions, S3, CloudWatch, DynamoDB, SQS.
Technical leader comfortable owning end-to-end design and delivery of cloud-based SaaS products serving financial institutions and financial crime risk domains.
Experienced in Agile SAFe environments, skilled at leading teams and collaborating across multidisciplinary groups to meet business goals.
Deep AWS ecosystem expertise combined with strong understanding of data pipelines, automation, monitoring, and scalable system architecture.