Senior Software Engineer – Active Secret, Top Secret (SCI-eligible)

🕒 Julho 15

⚔️ Virginia – Remoto

⚔️ Virginia – Remote

⏰ Tempo Integral

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

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Oteemo Inc.

SiteLinkedInTodas as Vagas

51 - 200 funcionários

💼 Consultoria

🏥 Saúde

📦 Logística

Consulting • Healthcare • Logistics

A Oteemo Inc. é uma empresa de consultoria em tecnologia especializada em transformação DevSecOps, modernização de infraestrutura e soluções de cibersegurança. A empresa ajuda organizações a entregar rapidamente capacidades digitais sem comprometer a segurança e a qualidade. A Oteemo utiliza inteligência artificial, adota metodologias ágeis e oferece serviços de transformação de negócios. Eles atendem a vários setores, incluindo serviços financeiros, saúde, tecnologia e governo, modernizando operações, aprimorando a segurança e impulsionando a inovação. A Oteemo opera a partir de vários locais, incluindo EUA, México e Índia, fornecendo soluções lideradas por especialistas para melhorar a eficiência, segurança e confiabilidade.

Descrição

• 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.

🎯 Requisitos

• 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. • Active Secret/TS/SCI clearance (or SCI-eligibility), ideally with past or current DoD SAP/SAR access. • 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, JavaScript/TypeScript, 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.

🏖️ Benefícios

• Ability to make a noticeable difference for the organization and our customers • Tremendous growth opportunity by becoming part of a rapidly growing organization. • Competitive pay and benefits