• Works within the Optiv Security’s 24x7x365 Security Operations Center as a member of the Advanced Fusion Center (AFC) team. • Responsible for following Optiv AFC processes & procedures, as well as managing and maintaining security systems across internal and client environments. • Serve as a primary responder for AFC customer systems, taking ownership of client configuration issues, and tracking through resolution. • Provide mentorship to other technical staff members. • Provide technical assistance in scoping and other pre-sales activities. • Take technical leadership on client projects; oversee and guide work performed by other technical staff members.

• Interview—Facilitate an interview through Karat's platform. Create an enjoyable candidate experience while you evaluate a candidate's fundamental coding skills and technical knowledge. • Evaluate—Provide input on the candidate's performance, coding style, communication skills, knowledge question answers, and coding approach. • Partner—Collaborate with Karat to test content, processes, and products.

• Develop, optimize and maintain scalable data pipelines using Databricks, Spark and PySpark. • Work on integration, transformation, cleansing and provisioning of large-scale master/customer data. • Build and maintain cloud-based Big Data products, ensuring scalability, performance, reliability and data quality. • Work with customer master data domain, supporting initiatives related to Golden Record, data quality, governance and MDM. • Design and implement data solutions that support intelligent systems based on Generative AI, agents and multi-agent systems. • Prepare, structure and provision data for consumption by Machine Learning models, LLMs, autonomous agents and intelligent workflows. • Support the construction of agents and multi-agent systems capable of analyzing customer master data at scale. • Help identify patterns, inconsistencies, gaps, duplicates, anomalies and opportunities for improvement in master/customer data. • Develop data mechanisms for generating alerts, explainable recommendations and decision support. • Apply Analytics and Machine Learning techniques for anomaly detection, classification, clustering and scoring of master/customer data. • Support strategies for data qualification, enrichment, prioritization and governance. • Use Generative AI to support the generation, evolution, validation and explanation of business rules. • Explore and support implementation of architectures such as RAG, autonomous agents, multi-agent systems and intelligent workflows. • Work with near real-time data processing using Kafka. • Support the productionization of Machine Learning models on Databricks, applying MLOps concepts. • Create, maintain and evolve CI/CD pipelines using GitHub and GitHub Actions. • Ensure development best practices, ensuring solutions follow standards of quality, efficiency, maintainability and governance. • Optimize the use of available data to maximize its value for business and technology areas. • Collaborate with MDM, Data, Technology and Business teams to ensure developed solutions are measurable, governable and applicable. • Support technical and functional refinements, ensuring clarity, feasibility and alignment of stories to project needs. • Help create clear, well-defined and technically feasible user stories. • Participate in AS-IS and TO-BE design, documenting current and future processes, identifying technical debt, risks and opportunities for improvement. • Develop refined and approved stories, ensuring quality, efficiency and adherence to technical standards. • Identify technical debt and propose continuous improvements in architecture, processes, data and solutions. • Work in partnership with data and business focal points to ensure alignment between technical solutions, best practices and strategic needs.

Role Description CEG Solutions is hiring an Energy Engineering Discipline Lead to provide senior technical leadership for our energy engineering practice. This role will impact how CEG identifies, develops, and delivers energy conservation measures (ECMs) across our portfolio of projects. This is a leadership role for an engineer who combines deep expertise in energy modeling and analysis with the drive to build a best-in-class energy analysis discipline. This role will improve methodology, raise quality, mentor engineers, and advance how the team applies technology and AI in its analytical workflows. You'll be the technical anchor for our energy engineering team: - Providing QA/QC oversight on models and savings calculations. - Refining analytical methodologies. - Developing new modeling techniques. - Overseeing how we integrate AI tools and automation into the practice. MEP design experience is a strong plus — it strengthens the ability to ensure that the measures we develop are not only well-modeled but also constructible and well-coordinated with mechanical, electrical, and plumbing systems. Qualifications - B.S. in Mechanical Engineering, Architectural Engineering, or related field (M.S. preferred). - 10+ years of progressive experience in building energy systems, energy modeling, and ECM savings calculations. - Active Professional Engineer (PE) license in any U.S. state required; LEED AP or CEM certification a plus. - Deep expertise in energy modeling tools and/or simulation platforms. - Demonstrated experience leading or mentoring engineering teams. - MEP design experience preferred — particularly mechanical systems design for commercial, institutional, or industrial facilities. - Experience with energy performance contracting (ESPC), guaranteed savings projects, or design-build delivery preferred. - A genuine interest in applying AI tools and automation to engineering workflows. - Drug and background screening required. Requirements - Serve as the primary technical authority on energy modeling, ECM calculations, and energy analysis across the firm's project portfolio. - Refine the standards, methodologies, and tools used by the energy engineering team. - Lead the development and continuous improvement of energy modeling approaches, tools, and calculation methodologies. - Identify gaps in current modeling practice and create new methods, spreadsheets, simulation approaches, or analytical frameworks to close them. - Oversee the integration of AI tools, automation, and technology-enabled workflows into the energy engineering practice. - Provide direct mentorship and technical guidance to energy engineers at all experience levels. - Help design and maintain training resources and a standard playbook for new engineers. - Develop and implement standardized procedures governing the full modeling lifecycle. - Provide QA/QC oversight across active projects. Benefits - Strategic influence: A direct voice in shaping the energy engineering discipline and CEG's long-term technical direction. - Authority to elevate the practice: Real ownership over modeling methodology, QA/QC, training, and team growth. - Interesting, critical work: Hands-on engagement with high-complexity, mission-critical facilities. - A leadership path: Room to grow as the energy engineering discipline and business needs and opportunities grow. - AI-enabled innovation: A platform to oversee the practical application of AI and automation in engineering workflows. Company Description CEG Solutions is an equal opportunity employer committed to diversity, equity, inclusion, mentorship, and professional development. We foster a collaborative, non-hierarchical environment where creativity, technical excellence, and teamwork drive results — and where every team member has the opportunity to grow. CEG Solutions — Shaping the Future of Sustainable Energy. Join Us.