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Brand New Civil/Environmental Engineer Opening With Leader In Land Development, Utilities and Drainage Design! This Jobot Job is hosted by: Brian Perkins Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $70,000 - $130,000 per year A bit about us: • Strong Benefits, • Great Company Culture, • Family Atmosphere, • Limitless Growth Potential, • Flexible Schedule, • Profit Sharing, • Strong Yearly Bonuses Why join us? We help clients meet their environmental compliance goals and obligations through tailor-made environmental solutions. We are here to help organizations confidently navigate the complicated environmental regulatory landscape and meet their business objectives. Learn more. Job Details Responsibilities will include but are not limited to the design and permitting of construction plans for site layout, grading, drainage, erosion control, stormwater treatment and conveyance, water and sewer, roadway, pump station and force main design. This individual will also provide technical and design services in support of civil engineering projects reporting directly to their project manager. Applicant must be able to communicate and coordinate technical evaluations and designs, produce reports in technical writing format, and correspond with other team members to complete work in a timely and efficient manner. Must have the ability to coordinate project submittals, facilitate regulatory agency approvals, and obtain construction permits. Experience: Bachelor of Science Degree in Civil or Environmental Engineering. Professional Engineering License Required Experience with AutoCAD Civil 3D and Microsoft Office required. Hydraflow Storm Sewer, Hydrograph, and WaterCad preferred. Must have strong communication and writing skills. Experience with design of land development projects preferred. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

Job Locations US-NJ-Paramus ID 2026-1946 Category Information Technology Type Regular Full-Time The Senior Data Engineer, Biz Ops will play a critical role in architecting the data infrastructure powering our AI-driven business operations platform. This role is responsible for analyzing the current database environment, redesigning it for AI-native use cases, and establishing the foundational data architecture for our end-to-end decision-intelligence platform-driven business operations platform. This role is responsible for analyzing the current database environment, redesigning it for AI-native use cases, and establishing the foundational data architecture for our end-to-end decision-intelligence platform.driven business operations platform. This role is responsible for analyzing the current database environment, redesigning it for AInative use cases, and establishing the foundational data architecture for our endtoend decisionintelligence platform. You will design scalable data ecosystems-including Data Lakes, Data Pipelines, and semantic modeling layers-using modern engineering standards (dbt, orchestration frameworks, CI/CD). Working closely with commercial and business operations experts, you will dissect existing workflows and reimagine them as AI-ready, streamlined processes in collaboration with AI Scientists and AI Engineers. You will translate ambiguous operational and business challenges into clean, reliable, ontology-aligned data models that enable forecasting, planning, and optimization across the value chain, beginning with supply chain operations. This is a high-impact senior role for someone who thrives in owning a data ecosystem end-to-end and building AI-centric data infrastructure from the ground up-aligned data models that enable forecasting, planning, and optimization across the value chain, beginning with supply chain operations. This is a high-impact senior role for someone who thrives in owning a data ecosystem end-to-end and building AI-centric data infrastructure from the ground up.aligned data models that enable forecasting, planning, and optimization across the value chain, beginning with supply chain operations. This is a highimpact senior role for someone who thrives in owning a data ecosystem endtoend and building AIcentric data infrastructure from the ground up. Analyze existing databases and redesign them for AI/ML readiness, including ontologydriven and semantic data modeling. • Architect and implement centralized Data Lake and scalable, robust data pipelines supporting operational workflows and AIdriven decision processes., • Build and maintain highquality data transformations using dbt and enforce software engineering best practices across the data stack., • Design featureready data models to support AI/ML use cases such as forecasting, classification, and optimization., • Develop secure and reliable data ingestion frameworks (batch and streaming) with strong observability and performance controls., • Partner with Commercial, Marketing, and AI teams to translate business problems into data requirements, semantic models, and scalable pipelines., • Implement data quality, lineage, and governance practices aligned with enterprise standards., • Lead technical direction on modern data stack architecture and continuously improve scalability, efficiency, and maintainability., • Contribute to an agile, experimentationdriven culture, balancing rapid PoC execution with longterm architectural integrity., • Education: Bachelor's degree or higher in Computer Science, Engineering, or related field., • Experience: 5+ years of hands-on experience in Data Engineering or technical Analytics Engineering, with deep experience building data lakes and orchestrating complex pipelines., • Skills:, • Strong programming proficiency in Python and PySpark for largescale distributed data processing, data manipulation, automation, and pipeline development., • Expertlevel SQL for data modeling, complex transformations, and performance optimization., • Experience with modern data lake table formats such as Apache Iceberg., • Familiarity with Medallion Data Architecture (Bronze/Silver/Gold) for scalable and governed data processing., • Handson experience with modern transformation frameworks (e.g., dbt) and orchestration tools (e.g., Airflow or Python-based schedulers)., • Knowledge of core AWS or Azure data services and data observability practices., • Experience optimizing data models for BI and visualization tools (e.g., Tableau)., • Ability to define business metrics and derive semantic meaning from operational KPIs. Strongly Preferred • Master's degree or higher in a quantitative or technical field., • Experience working with ML pipelines (e.g., MLflow, Feature Stores) and collaborating with AI Scientists/Engineers., • Knowledge of ontologybased modeling, semantic layers, and modern data architectures (e.g., Data Mesh, Data Fabric)., • Experience with Graph Databases (e.g., Neo4j) for semantic modeling, ontology alignment, or operational knowledge graphs., • Domain experience in Supply Chain Management (SCM), BizOps, RevOps, or Commercial Operations., • Experience in regulated industries (e.g., biopharma, healthcare, finance)., • Experience in a BizOps or highly crossfunctional technical role., • Handson experience with Snowflake architecture. Who Thrives in This Role • Someone who enjoys owning a data ecosystem endtoend and building from zero to one., • A strategic thinker who balances strong technical depth with understanding of real business context., • An engineer who thrives in close collaboration with Commercial and AI teams to define how data powers decisions., • A builder comfortable operating in a fastpaced, startuplike environment where innovation and speed matter., • An "Agile Operator" who can rapidly prototype for PoCs while architecting for longterm scalability and reliability.

Job Locations US-NJ-Paramus ID 2026-1965 Category Information Technology Type Intern The AI Engineer Intern will support the design and implementation of AI-driven solutions for pharmaceutical and biotech applications, with a focus on drug discovery. This internship offers hands-on experience in applying artificial intelligence to real-world R&D challenges while working alongside experienced scientists and engineers. The intern will gain exposure to the drug discovery process and contribute to projects that explore how AI can improve efficiency and innovation. • Architect and manage agent-based systems that collaborate to execute drug discovery workflows, • Coordinate multiple AI agents (e.g., PI, modeling, simulation, optimization, critic) to enable automated discovery, • Assist in identifying opportunities within drug discovery where AI can enhance processes and outcomes, • Support the development and implementation of machine learning and deep learning models for research applications, • Reproduce and evaluate existing AI models and research papers to understand their applicability, • Help adapt and optimize AI solutions for new use cases within R&D workflows, • Contribute to building scalable and practical AI tools under guidance from senior team members, • Stay current with emerging AI trends and technologies and share insights with the team, • Collaborate with cross-functional teams to understand scientific problems and translate them into AI-driven approaches, • Currently pursuing a Bachelor's, Master's or PhD degree in Computer Science, Artificial Intelligence, Data Science, Bioinformatics, or a related field, • Experience with LLMs, agent frameworks, or workflow orchestration tools (e.g., LangChain, AutoGen, BioNemo, etc.), • Familiarity with coding tools (e.g., Codex, Claude Code, etc.), • Interest in pharmaceutical or biotech applications, particularly drug discovery, • Experience with academic or personal AI/ML projects, • Exposure to analyzing or reproducing research papers, • Coursework or projects related to life sciences, bi Strong analytical and problem-solving skills, • Willingness to learn and adapt in a fast-paced, innovative environment, • Effective communication and teamwork skills, • Ability to translate technical concepts into practical applications, • Bioinformatics, or computational biology, • Prior experience in drug discovery or AI research is a plus but not required, • Professional-level English communication skills are preferred

Job Locations US-NJ-Paramus ID 2026-1947 Category Information Technology Type Regular Full-Time The AI Engineer, Biz Ops will build the AIpowered services that form the backbone of our decisionintelligence platform. In this role, you will take AI models developed by AI Scientists and transform them into scalable, productionready applications by designing inference pipelines, APIs, and supporting data flows. You will work closely with Data Engineers to integrate model pipelines with the broader data ecosystem and collaborate with business operations and commercial teams to convert manual, step-driven workflows into AInative services. This includes building reliable batch and realtime inference systems that generate measurable impact across business operations-not limited to any specific domain. This is a highimpact role for engineers who enjoy turning research into products, hardening systems for realworld use, and building the engineering layer that enables AI to operate at scale. While not required, an interest in or exposure to MLOps practices is strongly preferred. Productionize AI/ML models into scalable services (e.g., APIs, batch inference, streaming inference) with strong standards for reliability and performance. • Collaborate with AI Scientists to convert research prototypes into productionready components (feature computation, preprocessing, post-processing, evaluation loops)., • Integrate models with data pipelines built by Data Engineers and ensure seamless endtoend flow from raw data to AIdriven output., • Build and maintain inference pipelines using Python and orchestration frameworks (e.g., Airflow), supporting deployment across cloud and onprem environments., • Implement CI/CD, containerization, and automated testing to ensure safe, repeatable, and automated model deployments., • Establish monitoring and observability for models and services (system metrics, data drift, performance regression, alerting)., • Partner with BizOps and Commercial stakeholders to transform manual workflows into AIenabled services that improve operational decisionmaking., • Optimize end-to-end model serving latency, throughput, and cost using packaging strategies, scaling policies, caching, and parallelization., • Contribute to documentation, reusable templates, and engineering best practices to accelerate AI adoption across the organization., • Education: Bachelor's degree or higher in Computer Science, Engineering, or related technical field., • Experience: 3+ years of software engineering experience, including building or deploying AI systems in production environments., • Skills:, • Strong proficiency in Python for services, pipelines, and ML tooling., • Experience deploying AI models in production across onprem or cloud environments (AWS or Azure)., • Experience with bigdata and orchestration frameworks (e.g., Spark, Airflow) for scalable pipelines., • Strong understanding of software engineering best practices including CI/CD, containerization (Docker, Kubernetes), automated testing, and version control., • Experience with model optimization techniques such as ONNX / ONNX Runtime, model quantization, or other performanceoriented inference tooling. Strongly Preferred • Interest or exposure to MLOps concepts (model registries, feature stores, experiment tracking, automated retraining, monitoring)., • Master's degree or higher in a relevant field., • Experience in regulated industries (e.g., biopharma, healthcare, and finance)., • A portfolio of launched AI/ML projects or contributions to production of AI systems., • Proficiency in SQL and familiarity with modern data warehouses such as Snowflake. Who Thrives in This Role • Engineers who enjoy transforming research into resilient, userfacing products., • Builders who balance rapid iteration with productiongrade engineering standards., • Collaborators who can partner with business teams to convert manual workflows into scalable AI services., • Pragmatic problemsolvers who can operate autonomously and drive impact in ambiguous, crossfunctional settings.

Job DescriptionCompany Description VERSANT is a leading force in news, sports and entertainment - home to iconic and trusted brands that inspire, inform, and delight audiences. Our unique combination of content, technology and services enriches the cultural fabric, igniting passions, sparking conversations, and connecting people to what they love most. As an independent, publicly traded company, VERSANT brings together powerhouse cable networks - including USA Network, CNBC, MS NOW (formerly MSNBC), Oxygen, E!, SYFY, and Golf Channel - with dynamic digital and direct-to-consumer brands such as Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. Together, these businesses reflect our commitment to delivering exceptional experiences across every screen and service. VERSANT is an industry-changing media company fueled by innovation and an entrepreneurial spirit. With a strong foundation and a forward-looking vision, VERSANT empowers creativity, embraces change, and drives connection in an ever-evolving world. Job Description ABOUT THE ROLE Fandango is looking for a SENIOR PLATFORM ENGINEER to build our next big thing in platform growth across Fandango, Rotten Tomatoes, Fandango at Home. In this role, you'll join the Platform Operations team and report to the Sr. Director of Platform Operations, contributing to the foundational infrastructure and tools that power how we enable developer productivity while delivering platform enhancements. As a Platform Engineer, you will focus on building and maintaining the core platform layers that support our engineering organization. If you enjoy solving complex problems, building for scale, and making a measurable impact – we'd love to meet you. WHAT YOU'LL DO As a Senior Platform Engineer on our team, you will: • Build and maintain core platform infrastructure that serves as the foundation for engineering teams across the organization, • Drive and participate in solution architecture and delivery across diverse domains, offering expertise in AWS cloud infrastructure and resources, containers (ECS/Kubernetes) and cloud-native architectures, • Develop, enhance, and operate platform capabilities including CI/CD pipelines, infrastructure as code, reusable patterns, and automation solutions that enable rapid, reliable, and secure deployments, • Design and implement standardized, reusable cloud infrastructure patterns and templates that help teams adopt best practices while maintaining security and compliance requirements, • Demonstrate, enable, and promote consistent adoption of software delivery practices and solutions that optimize for fast feedback, observability, and operational excellence, • Proactively collaborate with product and engineering teams, taking technical leadership in areas of cross-functional projects while sharing knowledge and best practices, • Evaluate existing standards and practices, identify gaps, and implement improvements to strengthen Development, Security, and Operational practices across the organization, • Demonstrate excellent communication skills through proactive status updates, clear documentation, knowledge sharing, and effective collaboration when facing technical challenges, • Partner closely with engineering teams to understand their needs, refine requirements, and deliver solutions that enhance developer productivity while meeting project objectives, • Work with emerging technologies around AI, MCP, and RAG, • Cost optimization - Monitor and optimize cloud spend, implementing cost governance strategies and right-sizing recommendations., • Service reliability Maintain SLOs/SLIs/SLAs, improve uptime targets, and help implement reliability engineering practices., • Mentorship - Mentor junior and mid-level engineers, conduct design reviews, and raise the technical bar across the platform team.Qualifications WHAT WE'RE LOOKING FOR: • AWS Expertise: 6+ years of hands-on experience with AWS, with a focus on Infrastructure as Code, • Linux Proficiency: Minimum of 4 years of experience managing and maintaining Linux systems, • Automation/Scripting: 3+ years of experience with Python for automation and scripting, • Git and GitOps: Practical experience and comfortable using Git and automated workflows, • AWS Security Knowledge: Familiarity with AWS security best practices, including DNS, secure VPCs, and database security (e.g., PostgreSQL, MySQL), • Communication & Collaboration: Strong written and verbal communication skills with the ability to explain complex technical concepts to technical and non-technical audiences, • Problem-Solving Mindset: Eagerness to learn, grow, and tackle challenges in a fast-paced environment, • Troubleshooting & debugging - Proven ability to troubleshoot complex distributed systems issues across networking, compute, storage, and application layers. Comfortable with packet captures, log analysis, performance profiling, and diagnosing intermittent failures in production.\, • Terraform / Infrastructure as Code: 3+ years of hands-on experience with Terraform, including module development, state management, and multi-environment workflows. Comfortable writing, reviewing, and maintaining IaC that provisions and manages cloud infrastructure at scale., • Networking fundamentals — VPCs, load balancers, DNS, CDNs, service mesh, network troubleshooting., • Monitoring/Observability — Datadog, Prometheus, Grafana, CloudWatch, ELK stacks., • AWS Certifications: Relevant certifications such as AWS Certified Cloud Practitioner, AWS Certified Solutions Architect – Associate, • Background in building or maintaining systems that support scalable application environments and event-driven architectures, • Understanding of container security and orchestration (Docker, Kubernetes), • Fundamentals of running AI-related services, • Experience contributing to open-source projects or internal platform tools, • Multi-account AWS strategy (Organizations, Control Tower, Landing Zones, • Chaos engineering / game days, • Platform-as-a-product thinking (internal developer portals, Backstage) Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. For LA County and City Residents Only: VERSANT Media will consider for employment qualified applicants with criminal histories, or arrest or conviction records, in a manner consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to . VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.

Job DescriptionUnder the supervision of Chief Engineer and/or Assistant Chief Engineer, the Building Engineer is responsible for maintenance and repairs to the buildings and grounds, related fixed and portable equipment and installation, while establishing a safe environment for the facility. Supports the implementation and documentation of site safety plans and all ABM Engineering Services operational standards and guidelines as well as site specific standards, policies and procedures relating to the engineering department.REPRESENTATIVE FUNCTIONS OR DUTIES: • Maintains and performs repairs to buildings, utilities, grounds and equipment., • Optimize the repair and maintenance of HVAC, electrical and plumbing equipment and systems. Uses and helps provide best practices to troubleshoot and repair equipment and system problems so that problems are resolved in the most efficient and effective manner., • Maintains continuous operations of equipment by troubleshooting and repairing., • Provide hands-on training and collaboration to other engineering team members., • Fosters a work environment that promotes energy conservation and continuous improvement of engineering functions., • Records all pertinent data in building logbooks and makes all appropriate daily entries., • Conducts utility and equipment tests., • Records pertinent data on all equipment in accordance with federal, state, and local codes and requirements., • Process administrative paperwork in accordance with departmental policies and procedures., • Stay abreast of the latest technology as related to building systems and equipment and emergency response regarding fire and life safety., • Actively functions as a team member., • Demonstrates commitment to quality of service., • Complies with ABM Engineering Services and facilities’ policies and procedures., • Complies and participates with ABM Engineering Services safety program., • Complies and participates in facility specific safety program.  Maintains regular attendance in the workplace., • Provides highest quality of service to the tenants, staff and visitors at the facility., • Participate in regular required communication with Chief Engineer, Assistant Chief Engineer, management, tenants and other staff. SKILLS / EDUCATION / EXPERIENCE:, • Experience that is commensurate with the specific facility for the position of Engineer., • Ability to read and interpret blueprints., • As required, highest-level relevant state/local license for Stationary Engineer and/or HVAC, plus universal level refrigerant recovery license., • Computer skills and building automation systems experience required., • Certification meeting OSHA ACM awareness training requirements as required.

Job DescriptionThe Chief Engineer is responsible for the overall supervision of the engineering department within the facility assigned. These duties include but are not limited to the installation, repair and maintenance of the facility equipment. The oversight and upkeep of the physical plant, including grounds, utility services, HVAC, plumbing, electrical system, electronic equipment, yard and pavement upkeep in the best manner possible for the safety and health of all concerned, and to coordinate these activities as needed. Responsible for the implementation and documentation of site safety plans and all Engineering Services operational standards and guidelines as well as site specific standards, policies and procedures relating to the engineering department. The Chief Engineer will also assist the facility manager with operational and constant projects for the site. REPRESENTATIVE FUNCTIONS OR DUTIES • Provides supervision and is responsible for the implementation of all preventive maintenance and repair operations at the facility. Schedules emergency repair activities according to priority and the abilities of assigned personnel. Provides technical advice, encouragement and instruction to subordinates in such areas as electric theory, mechanical systems, hydraulic systems, and safety procedures. Perform equipment inspections, noting equipment condition, ensuring that proper maintenance is being performed in accordance with AES standards. Responsible for the implementation of the quality assurance program for all work performed by the department., • Direct or participate in various facility programs and committees relating to assigned responsibilities such as safety, disaster, fire, pollution control and civil defense., • Formulates, recommends and implements site specific policies and procedures to improve the facility physical plant and operations., • Develops a plan and/or procedure for controlling, labeling, recording estimated life expectancy, maintenance and inspecting all capital and non-capital equipment within the facility. This plan includes a long-term engineering capital plan., • Recommends equipment purchases to replace obsolete equipment items and provide assistance in formulating long-range equipment replacement requirements and coordinates actions with contractors., • Assists in the development and implementation of operating and extraordinary expense budgets as required., • Plans and schedules services of department. Establishes standards and work methods; takes steps to assure quality and quantity of performance and evaluates results. Establishes plans for improving departmental work emphasizing efficiency and economy., • Communicates policies and procedures, discusses job problems, and employee concerns with supervisors and employees. Encourages development of habits and attitudes for improved performance and good employee attitudes. Direct, train, evaluate, and counsel all engineering personnel., • Ensures that general safety, fire prevention regulations are enforced, and safe working habits are promoted throughout the facility. Ensures that all shop equipment is properly maintained and conforms to safety standards. Promotes good housekeeping principles and supervises housekeeping details., • Responsible for ensuring that the building systems are operated in the most efficient and effective manner especially as it relates to utility consumption and environmental responsibility. Implement a systematic program to promote energy awareness and conservation within the facility. Champion energy conservation programs to achieve maximum results from tenants and staff., • Maintains an on-going self-improvement program to keep abreast of new equipment, standards, codes, and maintenance procedures.Responsible for the implementation and promotion of the following, • Supports and follows ABM Engineering Services’ operational policies and standards., • Supports and follows ANM Engineering Services’ safety program., • Perform related duties as required – a “can do, will do” attitude., • Reports to and collaborates with management of the facility related issues., • Works with management on plant related and tenant related issues., • Sets and maintains a professional work environment with staff., • Assures good communication., • Ensure standards of service and commitment., • Ensure compliance with safe practices and standards., • Develops goals for department, staff and self., • Builds morale and a team approach., • Complies with employment laws and ABM Engineering Services employment practices., • Supports growth opportunities and potential.SKILLS / EDUCATION / EXPERIENCE, • Experience that is commensurate with the specific facility for the position of Chief Engineer. Prefer 5+ years progressive operations experience., • Strong employee relation skills, coaching skills and training skills., • As required, highest-level relevant state/local license for Stationary Engineer and/or HVAC, plus universal level refrigerant recovery license., • BOMA accredited courses desirable., • Preferred: High-rise Fire Safety Director, Haz-Mat Certification, Indoor Air Quality Certification, LEED Certification., • Strong oral and written communication skills., • Ability to work with MS Word, Excel, and Outlook., • Computer skills and building automation systems experience required., • Certification meeting OSHA ACM awareness training requirements as required.

Job DescriptionCompany Description On-Site 1yr contract $10950/month About the Role We are seeking a Senior Generative AI Engineer to design, build, and deploy production-grade AI applications powered by large language models (LLMs). In this role, you will lead the end-to-end development of Generative AI solutions, including LLM-powered applications, retrieval-augmented generation (RAG) systems, agentic workflows, model evaluation pipelines, and production infrastructure. You will work cross-functionally with product, finance, data, and business stakeholders to translate real-world business problems into scalable AI systems that deliver measurable value. Job Description • Design and develop algorithms for generative models using deep learning techniques, • Design and build LLM-powered applications for internal and/or customer-facing use cases, • Develop and productionize RAG pipelines using enterprise data sources, vector databases, and retrieval systems, • Build and optimize AI agents / agentic workflows for task automation, reasoning, and orchestration, • Integrate model providers such as OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, and open-source models where appropriate, • Create robust evaluation frameworks for response quality, factuality, latency, safety, and reliability, • Implement prompt engineering, structured outputs, tool calling, and model optimization strategies, • Deploy scalable AI services to cloud environments using modern software engineering and MLOps practices, • Build monitoring, observability, and feedback loops for model and application performance in production, • Establish and maintain guardrails, responsible AI practices, and security controls for enterprise AI systems, • Collaborate with product managers, designers, and business stakeholders to identify high-impact AI opportunities, • Mentor other engineers and contribute to architecture, technical direction, and engineering best practices Qualifications • Bachelor’s degree in Computer Science, Engineering, Machine Learning, or a related field, • 5+ years of software engineering, machine/deep learning engineering, or applied AI experience, • 2+ years of hands-on experience building and deploying Generative AI / LLM-based systems in production, • Strong programming skills in Python and experience with backend/API development, • Experience with LLM application development, including prompt engineering, RAG, tool use, and structured output design, • Experience in optimizing RAG pipelines using both structured and unstructured data, • Experience with orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent, • Experience in generative AI techniques such as GANs, and VAEs, • Hands-on experience with vector databases / retrieval systems such as Pinecone, Weaviate, Chroma, FAISS, Elasticsearch, or Azure AI Search, • Experience with cloud platforms such as AWS, GCP, or Azure, • Experience with Docker, Kubernetes, CI/CD, and production deployment practices, • Strong understanding of software architecture, scalability, reliability, and distributed systems, • Experience building evaluation, testing, and monitoring for AI systems, • Strong communication skills and ability to work closely with technical and non-technical stakeholder Preferred Qualifications • Experience fine-tuning or adapting open-source LLMs, • Advanced knowledge of natural language processing for text generation tasks, • Experience with PyTorch, TensorFlow, JAX, or related ML frameworks, • Experience with MLOps tools such as MLflow, SageMaker, Vertex AI, Azure ML, Kubeflow, or similar, • Experience building multi-agent systems or advanced orchestration workflows, • Experience with AI safety, guardrails, red-teaming, privacy, and governance, • Familiarity with search, ranking, recommendation, conversational AI, or enterprise knowledge systems, • Experience in customer-facing or enterprise SaaS products, • Experience in semiconductor/manufacturing, retail and e-commerce sectors Additional Information All your information will be kept confidential according to EEO guidelines.

Job DescriptionCompany Description Technical Product Manager / Solutions Engineer (Bilingual – Korean/English) Location: New Jersey (HQ Office) Full-Time/Onsite A fast-growing IT services and enterprise solutions organization is seeking a bilingual (Korean/English) Technical Product Manager / Solutions Engineer to support the U.S. expansion of enterprise solutions, including PerfecTwin (SAP testing automation) and Optapex (AI-based marketing optimization). This role will serve as the primary liaison between the U.S. business team and HQ product teams in Korea, while also supporting pre-sales activities and SMB-focused initiatives within the Korean business community in the U.S. This is a high-impact role within a rapidly growing business unit. Job Description 1. Product & HQ Coordination (Core Function) • Act as the primary bridge between U.S. teams and HQ product/engineering teams, • Translate customer requirements into technical specifications, • Escalate product enhancement requests and track progress, • Participate in product sync meetings with HQ, • Support product roadmap alignment for the U.S. market 2. Pre-Sales & Technical Support • Deliver technical demos and solution walkthroughs (PerfecTwin / Optapex), • Support RFP/RFI responses with technical documentation, • Provide first-level technical support to customers, • Coordinate Tier-2 escalations with HQ teams, • Assist with Proof of Concept (PoC) and trial implementations 3. SMB & Korean Business Sales Support • Support outreach to Korean SMBs in the U.S. market, • Participate in client meetings with Korean-speaking customers, • Assist with solution positioning and ROI communication, • Support proposal development and contract clarification, • Help develop localized (Korean) marketing materialsQualifications, • 5+ years of experience in IT, enterprise software, or SaaS, • Strong understanding of enterprise systems (ERP; SAP preferred), • Bilingual fluency in Korean and English (business level required), • Experience in technical pre-sales or product management, • Strong ability to communicate with both technical and business stakeholders, • Experience with SAP ECC or S/4HANA, • Experience working with HQ teams in Korea or global environments, • Experience supporting SMB customers, • Cross-cultural communication, • Structured thinking and problem-solving, • Strong ownership and accountability, • Fast response and escalation management, • Ability to work in ambiguous, fast-paced environments Additional Information Compensation & Benefits • Salary: $78,000 – $112,000 (DOE), • Bonus: Eligible, • Healthcare: No-cost premiums for employee and eligible dependents (medical, dental, vision, prescription), • 401(k): Company match, • Additional Perks: Complimentary lunch or allowance, phone stipend, product discounts, service awards, educational support, etc.

Job DescriptionCompany Description For More Open Positions Visit us at: Our Mission WOONGJIN, Inc. is a rapidly growing team who provides a range of unique, exceptional, and enhanced services to our clients. We have a strong moral code that includes the service of goodness without expectations of reward. We are motivated by the sense of responsibility and servant leadership. Benefits • Medical Insurance, • Vision Insurance, • Dental Insurance, • 401(k), • Paid Sick hoursJob Description, • Design and develop algorithms for generative models using deep learning techniques, • Design and build LLM-powered applications for internal and/or customer-facing use cases, • Develop and productionize RAG pipelines using enterprise data sources, vector databases, and retrieval systems, • Build and optimize AI agents / agentic workflows for task automation, reasoning, and orchestration, • Integrate model providers such as OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, and open-source models where appropriate, • Create robust evaluation frameworks for response quality, factuality, latency, safety, and reliability, • Implement prompt engineering, structured outputs, tool calling, and model optimization strategies, • Deploy scalable AI services to cloud environments using modern software engineering and MLOps practices, • Build monitoring, observability, and feedback loops for model and application performance in production, • Establish and maintain guardrails, responsible AI practices, and security controls for enterprise AI systems, • Collaborate with product managers, designers, and business stakeholders to identify high-impact AI opportunities, • Mentor other engineers and contribute to architecture, technical direction, and engineering best practicesQualifications Required Qualifications • Bachelor’s degree in Computer Science, Engineering, Machine Learning, or a related field, • 5+ years of software engineering, machine/deep learning engineering, or applied AI experience, • 2+ years of hands-on experience building and deploying Generative AI / LLM-based systems in production, • Strong programming skills in Python and experience with backend/API development, • Experience with LLM application development, including prompt engineering, RAG, tool use, and structured output design, • Experience in optimizing RAG pipelines using both structured and unstructured data, • Experience with orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent, • Experience in generative AI techniques such as GANs, and VAEs, • Hands-on experience with vector databases / retrieval systems such as Pinecone, Weaviate, Chroma, FAISS, Elasticsearch, or Azure AI Search, • Experience with cloud platforms such as AWS, GCP, or Azure, • Experience with Docker, Kubernetes, CI/CD, and production deployment practices, • Strong understanding of software architecture, scalability, reliability, and distributed systems, • Experience building evaluation, testing, and monitoring for AI systems, • Strong communication skills and ability to work closely with technical and non-technical stakeholder Preferred Qualifications • Experience fine-tuning or adapting open-source LLMs, • Advanced knowledge of natural language processing for text generation tasks, • Experience with PyTorch, TensorFlow, JAX, or related ML frameworks, • Experience with MLOps tools such as MLflow, SageMaker, Vertex AI, Azure ML, Kubeflow, or similar, • Experience building multi-agent systems or advanced orchestration workflows, • Experience with AI safety, guardrails, red-teaming, privacy, and governance, • Familiarity with search, ranking, recommendation, conversational AI, or enterprise knowledge systems, • Experience in customer-facing or enterprise SaaS products, • Experience in semiconductor/manufacturing, retail and e-commerce sectors What Success Looks Like • Deliver production-ready GenAI features that improve user experience and business outcomes, • Build reliable and scalable AI systems with strong quality, latency, and cost performance, • Establish best practices for evaluation, observability, and responsible AI development, • Help define the company’s long-term Generative AI architecture and roadma Additional Information All your information will be kept confidential according to EEO guidelines. * NO C2C *

Job Description Senior Data Engineer – Cloud & AI Platforms Location: US / Canada (Remote/Hybrid) Type: Contract / Full-Time Overview: We are hiring a Senior Data Engineer to support large-scale data modernization and AI-driven transformation programs. This role focuses on building robust, scalable cloud data platforms and enabling advanced analytics and AI use cases. Key Responsibilities: • Architect and develop scalable data pipelines and cloud-native data solutions, • Collaborate with data scientists, analysts, and business stakeholders, • Strong experience in data engineering and cloud-based architectures, • Hands-on expertise with platforms like Databricks, Snowflake, Azure Synapse, or BigQuery, • Experience with ML/AI pipelines (Python, PyTorch, MLOps), • Exposure to GenAI frameworks such as LangChain or agent-based systems

Job DescriptionCompany Description 1. About StockStory VERSANT is an independent, publicly traded company that brings together powerhouse brands such as CNBC, MS NOW (formerly MSNBC), USA Network, Oxygen, E!, SYFY, and Golf Channel along with dynamic digital and direct-to-consumer brands such as Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. StockStory, now part of CNBC under VERSANT, is building the next generation of AI-powered equity research for individual investors. This is a chance to build products that can shape how millions of consumers understand markets and make investing decisions. We offer the best parts of a startup environment - small team, high ownership, fast execution, and room to experiment - with the backing and stability of VERSANT, an independent publicly traded media company. As an AI engineer, you will work on both an existing AI product with real user impact and greenfield projects with significant room for exploration. The work spans cutting-edge LLMs / ML, large-scale data systems, financial reasoning, and research tooling, with opportunities to apply ideas from functional programming and graph-based systems where they create real advantage. You will be joining a team of exceptional engineers, analysts, and investors working at the intersection of AI and public markets. A particularly rare part of this role is the level of direct access to experienced market professionals, including former hedge fund managers and top-tier analysts, whose insights can directly inform how you think about modeling, signals, and product design. For an ambitious AI engineer, it is an unusual opportunity to work with cutting-edge technology and advanced data systems while learning firsthand how sophisticated investors analyze businesses and markets. Job Description We're looking for a Staff ML Engineer to lead the design and delivery of large-scale, production AI systems that power core products. A genuine interest in investing, public markets, and fundamental business analysis is expected. This role is for someone who combines deep machine learning expertise with strong software engineering and architectural judgment, and who is excited to solve ambiguous, high-leverage problems that shape both product capabilities and technical direction. You will work across teams to ensure our AI systems are reliable, scalable, and aligned with long-term product and infrastructure goals. You will design and operate end-to-end ML systems spanning data pipelines, training workflows, inference services, evaluation, and monitoring, while helping define how AI is applied across the company. This role is especially well suited to engineers who want to pair hands-on technical depth with cross-functional influence and long-term platform thinking. This role sits within a small and growing, high-caliber team where individuals are expected to operate with a high degree of ownership and autonomy, contributing directly to core product, infrastructure, and modeling decisions while working closely with engineering and senior leadership in a highly collaborative, low-bureaucracy environment with direct access to decision-makers. Qualifications 3. What We're Looking For: · Bachelor’s degree in Computer Science or equivalent practical experience · Minimum of 5 years of experience in software engineering with a focus on machine learning or AI systems · Experience building and operating production ML systems · Strong proficiency in Python, TypeScript, or Java · Proven experience with LLMs, ranking or recommendation systems, search, or applied NLP · Deep understanding of modern ML techniques, including deep learning and representation learning · Demonstrated ability to lead technical initiatives across teams · Ability to proactively share ML knowledge and best practices, fostering a collaborative and non-siloed engineering culture 4. What You'll Do: · Lead the architecture and implementation of production ML and AI systems used at scale · Drive technical strategy for AI across multiple product areas · Design end-to-end systems including data pipelines, training workflows, inference services, evaluation, and monitoring · Own and deliver high-impact projects with significant ambiguity · Provide technical leadership through design reviews, mentorship, and cross-team collaboration · Identify and mitigate systemic risks in AI systems, including performance regressions, bias, and operational failure modes · Guide model lifecycle management, monitoring, and evaluation practices 5. Requirements: · Bachelor’s degree in Computer Science or equivalent practical experience · Minimum of 5 years of experience in software engineering with a focus on machine learning or AI systems · Experience building and operating production ML systems · Strong proficiency in Python, TypeScript, or Java · Proven experience with LLMs, ranking or recommendation systems, search, or applied NLP · Deep understanding of modern ML techniques, including deep learning and representation learning · Demonstrated ability to lead technical initiatives across teams · Ability to proactively share ML knowledge and best practices, fostering a collaborative and non-siloed engineering culture Prior experience leading or founding an AI systems team · Hands-on experience with neural networks, including CNNs, RNNs, Transformers, or other deep learning architectures · Background in classical and modern NLP techniques such as tokenization, sequence labeling, language modeling, embeddings, text classification, and information extraction · Experience with large-scale training pipelines using frameworks such as TensorFlow or PyTorch · Experience building human-in-the-loop training or evaluation workflows 6. Location: At CNBC Headquarters in Englewood Cliffs, NJ, you’ll have access to great perks and amenities: • Sweat it out -- Free onsite fitness center with state-of-the-art equipment, plus daily group classes, • Eat up -- Gourmet cafeteria with daily specials plus soup and salad bars, • Extras -- Dry cleaning, shoe shining and sneak peeks, • Don’t have a car? No problem! We offer free shuttle transportation to and from multiple locations in Manhattan, Brooklyn, Hoboken and Jersey City In addition to these benefits, employees in this group will be joining at a time of meaningful and continued investment in data, technology, and product development, with the opportunity to contribute to a growing team within CNBC that is expected to scale significantly over time, offering meaningful exposure to senior leadership and the ability to influence how the platform evolves. Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to . VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.

Job DescriptionCompany Description About StockStory VERSANT is an independent, publicly traded company that brings together powerhouse brands such as CNBC, MS NOW (formerly MSNBC), USA Network, Oxygen, E!, SYFY, and Golf Channel along with dynamic digital and direct-to-consumer brands such as Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. StockStory, now part of CNBC under VERSANT, is building the next generation of AI-powered equity research for individual investors. This is a chance to build products that can shape how millions of consumers understand markets and make investing decisions. We offer the best parts of a startup environment - small team, high ownership, fast execution, and room to experiment - with the backing and stability of VERSANT, an independent publicly traded media company. As an AI engineer, you will work on both an existing AI product with real user impact and greenfield projects with significant room for exploration. The work spans cutting-edge LLMs, large-scale data systems, financial reasoning, and research tooling, with opportunities to apply ideas from functional programming and graph-based systems where they create real advantage. You will be joining a team of exceptional engineers, analysts, and investors working at the intersection of AI and public markets. A particularly rare part of this role is the level of direct access to experienced market professionals, including former hedge fund managers and top-tier analysts, whose insights can directly inform how you think about modeling, signals, and product design. For an ambitious AI engineer, it is an unusual opportunity to work with cutting-edge LLMs and advanced data systems while learning firsthand how sophisticated investors analyze businesses and markets. Job Description We're looking for a Staff AI Engineer to help build the next generation of AI-powered equity research. This role is for engineers who are excited by taking LLM capabilities beyond prototypes and turning them into robust product systems that deliver real value in production. It is especially well suited to people who enjoy designing end-to-end workflows, shaping technical direction, and building reusable foundations that help multiple teams move faster. You will design, build, and ship LLM-powered systems that integrate into new and existing workflows across the platform, spanning orchestration, retrieval, tool use, evaluation, and operational safeguards. You will also help define the engineering standards and architectural patterns that make these systems reliable, scalable, and maintainable over time. This role sits within a small and growing, high-caliber team where individuals are expected to operate with a high degree of ownership and autonomy, contributing directly to core product, infrastructure, and AI platform decisions while working closely with engineering and senior leadership in a highly collaborative, low-bureaucracy environment with direct access to decision-makers. A genuine interest in investing, public markets, and fundamental business analysis is expected. What You'll Do: · Build end-to-end distributed agentic AI solutions that are reliable and scalable · Lead cross-functional initiatives requiring coordination across multiple teams and shared systems · Mentor other engineers and define quality standards and best practices · Own long-term maintainability, observability, and cost efficiency of AI systems · Monitor model quality drift, prompt alignment, alerting, and operational health Requirements: • Minimum of 5 years of experience in software engineering, with a strong track record of building and shipping production systems, • Proven experience designing and deploying LLM-based or GenAI systems in real-world applications, • Strong programming skills in Python and experience with modern backend architecture and distributed systems, • Understanding of LLM workflows, including prompting, tool use, retrieval-augmented generation (RAG), and evaluation methodologies, • Experience building scalable data pipelines and working with large, messy, or unstructured datasets, • Ability to design systems with strong observability, reliability, and performance characteristics in mind, • Experience working in cross-functional environments and leading technical projects end-to-end, • Strong problem-solving skills and ability to operate independently in ambiguous, fast-moving environments, • Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders At CNBC Headquarters in Englewood Cliffs, NJ, you’ll have access to great perks and amenities: • Sweat it out -- Free onsite fitness center with state-of-the-art equipment, plus daily group classes, • Eat up -- Gourmet cafeteria with daily specials plus soup and salad bars, • Extras -- Dry cleaning, shoe shining and sneak peeks, • Don’t have a car? No problem! We offer free shuttle transportation to and from multiple locations in Manhattan, Brooklyn, Hoboken and Jersey City In addition to these benefits, employees in this group will be joining at a time of meaningful and continued investment in data, technology, and product development, with the opportunity to contribute to a growing team within CNBC that is expected to scale significantly over time, offering meaningful exposure to senior leadership and the ability to influence how the platform evolves. Qualifications What We're Looking For: • Minimum of 5 years of experience in software engineering, with a strong track record of building and shipping production systems, • Proven experience designing and deploying LLM-based or GenAI systems in real-world applications, • Strong programming skills in Python and experience with modern backend architecture and distributed systems, • Understanding of LLM workflows, including prompting, tool use, retrieval-augmented generation (RAG), and evaluation methodologies, • Experience building scalable data pipelines and working with large, messy, or unstructured datasets, • Ability to design systems with strong observability, reliability, and performance characteristics in mind, • Experience working in cross-functional environments and leading technical projects end-to-end, • Strong problem-solving skills and ability to operate independently in ambiguous, fast-moving environments, • Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders, • Demonstrated interest in financial markets, investing, or business analysis Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to . VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.

Cybersecurity Engineer - Blue Team** About the Role Offensive AI benchmarks are everywhere.

Mercor’s Talent Success team is hiring! Our Talent Success team is responsible for ensuring everyone using our platform has a delightful experience end to end, from applying to job listings, taking our AI-led interviews, accepting offers on our platform, and getting paid for their hard work. OR -

Qualifications** - Ability to debug web applications, likely coming from either a - Degree in Computer Science, Software Engineering, or a related technical field from a top-tier institution or prior experience at a high-growth technology startup. You will work directly with our engineering team, tr

About Mercor’s talent network Join our Machine Learning Engineer Expert Network to connect with leading AI labs and companies seeking your expertise. About Mercor projects Experts in our network contribute to: - Training and evaluating AI models in Machine Learning Engineering - Creating tasks

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?? Transportation Engineer / $80k-$120k / Great Place To Work! This Jobot Job is hosted by: Kevin Finlay Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $80,000 - $120,000 per year A bit about us: We are a transportation engineering and planning firm that supports land development and public infrastructure in Southwest Florida. We specialize in designing safe, efficient, and cost-effective roadways, intersections, signal systems, and traffic operations. Our people coordinate closely with permitting authorities, utility providers, and municipalities to deliver solutions that improve mobility and community connectivity. Why join us? *We have 10 employees in the firm in our single Naples office. We have hybrid and office employees. Flexible office environment. *Competitive salary intended to meet/exceed expectations based on candidate skills/experience. Bonus is based on overall profitability and last year was in the 13% range. • Work on a wide variety of transportation projects: commercial site access, residential developments, roadway expansion, signalization, and site lighting., • Hands-on opportunities from traffic impact studies through final design and construction administration., • Strong agency collaboration and involvement—local, state, and federal permitting; utility relocation; access management., • Exposure to a mix of technical specialties: signal design, lighting, signing/marking, drainage, maintenance of traffic., • Professional growth and recognition working under licensed engineers with a firm known for its FDOT prequalification and project delivery in Southwest Florida. Job Details • Produce transportation designs for roadway/highway sections, including pavement design, vertical/horizontal alignment, drainage, sidewalk and multi-modal accommodations., • Perform traffic engineering tasks: traffic counts, safety studies, signal warrant analyses, traffic impact statements, and parking studies., • Develop construction documents: signing & pavement marking plans, channelization, site lighting, signal systems, utility accommodation, and right-of-way drawings., • Manage permitting and regulatory compliance: coordinate with FDOT, local municipalities, federal and state agencies; prepare access permits; utility relocation design., • Oversee construction administration: maintenance of traffic (MOT) plans, site visits, ensuring design intent, reviewing shop drawings, and assisting with expert testimony if needed. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

This role involves leading system architecture designs and mentoring engineers in high-speed PCB design. The ideal candidate has 12+ years of experience in the field and a Bachelor’s degree in Electrical Engineering. A leading technology company seeks a Principal Systems Electrical Engineer in Sec

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