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