Software Engineer [Multiple Positions Available]

Duties: Lead and manage a team of software engineers in designing, developing, and deploying enterprise-scale financial applications and data-driven platforms.

Make architectural decisions across distributed, cloud- native, and microservices-based systems to ensure scalability, resiliency, and security.

Provide technical leadership in implementing multi-cloud strategies, focusing on developer services.

Drive adoption of data engineering and orchestration tools for distributed processing, Apache Kafka and Apache Flink for real-time data streaming, and Airflow/Prefect for workflow automation.

Oversee integration of machine learning solutions into production systems, leveraging TensorFlow and PyTorch for model development, training, optimization, and deployment.

Implement MLOps frameworks for end-to-end machine learning lifecycle management, including deployment, monitoring, and governance of models in production.

Implement service mesh technologies to secure and optimize microservices communication within Kubernetes environments.

Implement search and indexing technologies to support real-time data retrieval and high- performance search.

Collaborate with cross-functional teams (product managers, data scientists, infrastructure engineers) to align technology initiatives with business objectives.

Establish and enforce best practices in Agile SDLC, code quality, CI/CD automation, test-driven development, and observability (monitoring, logging, tracing) Manage project budgets, timelines, and risks while ensuring compliance with regulatory and security standards.

Mentor and coach engineers to build technical expertise and leadership capability within the team.

QUALIFICATIONS:

Minimum education and experience required: Bachelor's degree in Computer Science, Information Technology, Computer Engineering, Computer Information Systems, Information Technology, Data Engineering, or related field of study plus 7 years of experience in the job offered or as Software Engineer, Developer, IT Consultant or related occupation.

Skills Required: This position requires experience with the following: leading and managing software engineering teams, including mentoring, hiring and performance evaluation; designing and implementing microservice- based application and infrastructure architectures on AWS, including containerized workloads using ECS, Fargate, and Lambda, and service mesh technologies including Istio to ensure scalability, reliability, and operational efficiency; developing and maintaining end-to-end data engineering workflows using orchestration tools such as Apache Airflow or Prefect, data processing frameworks including PySpark and Kafka, and cloud-based data services to automate ingestion, transformation, and integration of structured and unstructured datasets; Python and its libraries and frameworks; working with large-scale enterprise data, including financial, operational, and behavioral datasets, used for analytics, reporting, and data-driven dec...