Remote Software Engineer, Lead - Full Stack

About Us

Founded in 1973, O’Neil Digital Solutions (ODS) is a leading IT consulting firm specializing in the optimization of complex end-to-end business process systems for a multitude of business verticals including Financial Services, Digital Media, Healthcare, and Transportation industries. ODS provides high-touch bespoke software engineering, systems integration, and infrastructure management services to clients of all sizes and industries. From large scale mass communication projects to highly secure and confidential data analytics using Big Data frameworks like Hadoop and AWS Redshift, ODS has a broad set of proven technical capabilities that help companies make complex digital transformations. ODS offers state of the art publishing solutions through our customer-centric applications and services include electronic document delivery, web applications, high-speed digital printing (color and black & white), automated composition, offset printing, warehousing and fulfillment services. ODS is headquartered in Los Angeles, CA and also has offices/plants in Texas and North Carolina centrally located to serve clients across the country

Summary

The Lead Software Engineer will serve as a specialist on complex technical and business matters, leading the Software Engineering team in designing, developing, enhancing, and maintaining software applications. This role involves highly independent work and may include team leadership responsibilities.

Duties and Responsibilities

• Lead the design, development, enhancement, and maintenance of full stack applications using the Agile/Scrum development process.
• Collaborate with client services teams, manufacturing, and other departments, as well as external clients, to define and articulate complex business and technical requirements.
• Design and define comprehensive solutions for proposed projects, navigating both clear and ambiguous requirements.
• Prioritize work for self and guide team members to meet milestones and delivery deadlines.
• Perform other duties as assigned.

Qualifications & Requirements

• Bachelor’s degree in Information Technology, Business, or a related field required.
• 7–10+ years of experience in full stack software development, preferably in financial services or fintech environments.
• Proven track record of designing, developing, and deploying enterprise-grade applications across frontend and backend stacks.
• Strong leadership skills with demonstrated ability to guide and mentor team members.
• Deep expertise in relevant departments, workflows, business processes, and the industry.

 

Core Technology Expertise:

Frontend:

• React.js (with Hooks, Context API, Redux, TypeScript)
• Responsive, accessible, and adaptive UI development with modern web standards

Backend:

• Java Spring Boot (REST APIs, security modules, microservices architecture)
• Python (Core, PySpark, and scripting for automation, data manipulation, and analytics)

Messaging/Integration:

• RabbitMQ, AWS SQS, AWS SNS for asynchronous messaging and event-driven architectures

Cloud & Infrastructure:

• Hands-on with AWS services, including:
  • Compute & Containers: EC2, ECS, EKS (Kubernetes)
  • Data & Storage: S3 (including Data Lake architectures), Glue, Redshift, Spectrum
  • Automation & Messaging: Lambda, SES, SNS
• Strong understanding of containerization, CI/CD pipelines, and DevOps best practices

Data Engineering & Orchestration:

• Apache Airflow for workflow orchestration
• Data lakes, Parquet/ORC formats, ETL/ELT pipelines at scale
• SQL optimization and performance tuning across PostgreSQL, MS SQL Server, Aurora, and Redshift

Optional AI/ML & Analytics Exposure (Preferred but Not Mandatory):

• Familiarity with AI/ML tools and frameworks such as:
  • AI Technologies: Open AI APIs, Vector Database (like Pinecone). Chatbot, Prompt Engineering, LLM fine Tuning
  • ML Platforms: AWS SageMaker, ML-Flow
  • Libraries: LangChain, LangGraph, scikit-learn, pandas, NumPy, spaCy
  • Data Visualization: Streamlit, Plotly, Tableau, or AWS QuickSight
• Understanding of MLOps principles (model deployment, monitoring, retraining)

 

KNOWLEDGE, SKILLS AND