Lead Software Engineer – Python, AIML, Cloud

Job Responsibilities
Design, develop, and troubleshoot software solutions for complex business challenges
Write secure, high-quality production code and review code from team members
Identify and automate remediation of recurring issues to improve system stability
Lead architectural design sessions and provide technical guidance for on-premises and cloud systems
Promote adoption of new technologies through internal communities of practice
Foster a culture of diversity, equity, and respect within the team
Develop and maintain applications using Python and AWS
Create and review architecture and design deliverables, ensuring best practices are followed
Integrate AI/ML solutions into domain-specific operations processing systems
Lead code reviews, design discussions, and agile planning sessions
Collaborate with Site Reliability Engineering and monitoring teams to ensure system reliability and performance
Required Skills
Formal training or certification on software engineering concepts and 5+ years applied experience
Strong experience building and running applications on AWS or other public cloud platforms
Advanced proficiency in Python programming
Proven experience in system design, application development, testing, and maintaining operational stability
Skilled in automation, continuous delivery, and the full Software Development Life Cycle
Experience with data processing pipelines and Directed Acyclic Graphs (DAGs) for machine learning or data workflows
Demonstrated expertise in cloud, artificial intelligence, and machine learning technologies
Understanding of IT systems in the financial services industry
Experience with code reviews and agile methodologies
Ability to communicate technical concepts clearly to both technical and non-technical stakeholders
Commitment to continuous learning and creative problem-solving
Preferred Skills
Experience with Cloud services, Infrastructure as Code (e.g., Terraform), and containerized application development
Familiarity with data storage systems such as Postgres and OpenSearch, and AWS services including S3, SageMaker, and Bedrock
Practical experience with Kubernetes, EKS, Docker, Kafka, MLOps, Large Language Model Operations (LLMOps), and event-driven systems
Knowledge of security best practices in cloud and application development
Experience integrating AI/ML models into production environments
Ability to mentor and guide junior engineers
Participation in technology events or software engineering communities