Note: The job is a remote job and is open to candidates in USA. Oteemo Inc. is a transformation powerhouse blending cutting-edge technical expertise with human-centered design principles. They are seeking a Senior Software Engineer to design and implement complex data structures, develop data pipelines, and deploy applications in cloud environments.

Responsibilities

• Design, model, and implement graph data structures that capture complex system relationships, workflows, and time-dependent processes using Neo4j, Gremlin, or similar tools
• Build and integrate web application back ends and contribute to front-end development as needed to deliver complete, production-ready features
• Develop and maintain robust ETL and data pipelines spanning structured, semi-structured, and unstructured data, with strong attention to data quality
• Engineer real-time and event-streaming workflows that handle high-velocity, sequential data flows
• Deploy and operate enterprise applications in cloud environments using containerization and orchestration, applying DevOps, DataOps, and MLOps practices
• Apply GenAI/ML techniques, including GraphRAG, to graph-related and NoSQL data problems
• Write thorough unit, integration, and API tests to ensure robust, scalable, and maintainable solutions
• Run simulations and apply advanced analytics in Python to solve complex mission problems
• Align data engineering approaches with large-scale interconnected systems to ensure adaptability and scalability

Skills

• Active TS/SCI clearance (or SCI-eligibility), ideally with past or current DoD SAP/SAR access
• Advanced degree in a quantitative field (e.g., computer science, machine learning, applied statistics, or mathematics) or equivalent experience, with 7–8 years of relevant experience
• Proven experience with graph databases and analytics, including Neo4j, Gremlin, or similar tools, and query languages like Cypher or Gremlin; ability to model complex system relationships, workflows, and time-dependent processes
• Strong programming skills in modern languages such as Python, Java, Node.js, or Go, with expertise in writing clean, maintainable, and scalable code
• Experience building and integrating web application back ends and contributing to front-end development when needed
• Extensive experience with data engineering and pipelines, including ETL, data quality, and working across structured, semi-structured, and unstructured data; familiarity with event streaming, real-time data processing, and high-velocity sequential data flows
• Practical knowledge of software engineering best practices, including DevOps, DataOps, MLOps, containerization (e.g., Docker), and orchestration
• Experience with distributed computing frameworks and cloud platforms, with a focus on deploying enterprise applications in cloud environments
• Strong testing skills, including unit testing, integration/API testing, and ensuring robust, scalable solutions
• Experience with NoSQL databases and working with graph-related problems, including the use of GenAI/ML techniques like GraphRAG
• Proven ability to align data engineering approaches with large-scale interconnected systems, ensuring adaptability and scalability
• Past or current DoD Special Access Program (SAP) / Special Access Required (SAR) access
• Familiarity with aerospace and defense programs and/or mission data
• Hands-on experience with FastAPI, Pandas, and React + TypeScript
• Interest or experience in running simulations in Python and applying advanced analytics to solve complex problems

Benefits

• Ability to make a noticeable difference for the organization and our customers
• Tremendous growth opportunity by becoming part of a rapidly growing organization. It’s not your tenure but what you can bring to the table that defines how your career will be shaped. You control your growth.
• Complex but interesting challenges to improve the depth and breadth of your technical and business skills. Our consultants are business technologists and understand how technology drives business.
• Competitive pay and benefits

Company Overview