Job Description

Job Description

Job Description

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 RESPONSIBILITES

• 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 ABILITIES (KSAS)

• Strategic thinker with proven leadership in mentoring and guiding engineering teams
• Effective communicator with the ability to translate technical solutions into business value
• Strong critical thinking and data-driven decision-making skills
• Able to adapt to evolving priorities in a fast-paced financial/technology environment
• High integrity and professionalism, with a commitment to teamwork, collaboration, and continuous learning

Data Analysis Inc (DAI) is the parent company of a global group of privately held firms in fields ranging from institutional equity markets to digital investment news and information to omnichannel communication solutions. DAI provides leadership, oversight, and strategic direction and shapes the purpose, vision, and mission of these firms. Shared services include administration, finance, and human resources. DAI’s global team embraces an entrepreneurial focused environment fostering collaboration, teamwork, and creativity with a dynamic culture that emphasizes the value of its associates and their dedication to success. We strive to be leaders in our field, innovators with a history of being in the forefront of using technology to deliver our services.

Company Description

Data Analysis Inc (DAI) is the parent company of a global group of privately held firms in fields ranging from institutional equity markets to digital investment news and information to omnichannel communication solutions. DAI provides leadership, oversight, and strategic direction and shapes the purpose, vision, and mission of these firms. Shared services include administration, finance, and human resources. DAI’s global team embraces an entrepreneurial focused environment fostering collaboration, teamwork, and creativity with a dynamic culture that emphasizes the value of its associates and their dedication to success. We strive to be leaders in our field, innovators with a history of being in the forefront of using technology to deliver our services.

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