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Sixense, Inc. is seeking an Instrumentation and Monitoring Technician to support the deployment and maintenance of structural and geotechnical instrumentation systems. In this hands-on role, you will work closely with the local team to prepare, install, and service a wide range of monitoring equipment in diverse environments.

RESPONSIBILITIES

Summary

Under the supervision of the Project Manager, the candidate will perform field and office-based tasks aligned with company policies, standards, and best practices. You’ll also contribute to project success by providing quality control support, observations, and technical recommendations to the project team.

Main Responsibilities

· Install and maintain the performance of various geotechnical and structural monitoring instruments following Sixense procedures, including but not limited to datalogging systems, Vibration Monitors, Noise Monitors and Automatic Motorized Total Stations.

· Assembling instrumentation and Automatic Data Acquisition Systems (ADAS).

· Operation of power tools and hand tools (hammer drill, Sawzall, wrenches, etc.)

· Performing the configuration of the Data Management System.

· Coordinating and communicating with clients, subcontractors, and others.

· Provide timely assistance to engineers and fellow technicians as needed.

· Perform routine maintenance and installations, which may involve working at height, on rail systems, or during night shifts.

Health & Safety

· Actively participate in Sixense’s Health and Safety Program and help foster a positive safety culture.

· Ensure full understanding of all relevant safety protocols before starting any task.

Other Responsibilities

· Communicate equipment needs, performance issues, or field findings to the Supervisor or Project Manager.

· Occasionally climbing up to ladders and lifting up to 50 lbs. to install or decommission instrumentation.

· Perform additional duties in the workshop or field as needed.

· Seek continuous improvement in operational procedures and workflows.

QUALIFICATIONS & EXPERIENCE

Education & Experience

· BS Degree in Civil Engineering or related discipline is considered an asset.

· 1+ years of relevant field experience.

· Demonstrable experience with the installation and maintenance of geotechnical and structural instruments such as piezometers, inclinometers, extensometers, and total stations.

· Basic understanding of heavy construction means and methods.

· Strong collaboration abilities, working effectively with colleagues and within multidisciplinary teams.

· Strong attention to detail and effective oral and written communication skills.

· Must be technology-minded, have basic knowledge about instrumentation systems, basic programming, software, low-voltage electrical, and remote measurements.

· Valid driver’s license with a clean driving record.

· Proficiency in MS Office Suite (Word, Excel, SharePoint, PowerPoint)

Soft Skills

· Strong work ethic and professionalism in representing the company.

· Self-motivated with the ability to work independently and collaboratively with minimal supervision.

· Must be willing to work outdoors in all weather conditions.

· Able to manage multiple priorities in a fast-paced environment.

ADDITIONAL INFORMATION

· Travel will be required both locally and nationally.

· Candidate must be willing to work outside in all weather conditions.

COMPENSATION

Salary Range: $60,000 – $100,000, based on experience and qualifications.

Sixense offers a competitive benefits package, including health insurance, 401(k) with company match, paid time off, and opportunities for professional growth and development.

To foster a diverse workforce, SIXENSE INC. encourages applications from minorities, veterans, women, and individuals with disabilities. EOE AA M/F/Vet/Disability

SIXENSE INC participates in E-Verify.

• 
  
• A typical day will involve a mix of hands-on coding, architectural design, and research.
  
• The engineer will spend a significant portion of their time in Python, building and optimizing agentic AI systems using frameworks like LangChain.
  
• This includes integrating these agents with our backend services and deploying them using CI/CD pipelines into our cloud environment.
  
• They will also be responsible for researching and testing new agentic models and frameworks, monitoring agent behavior in production, and collaborating with data scientists and business stakeholders to refine requirements and ensure the ethical deployment of AI solutions.
  

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• Python
  
• JavaScript/TypeScript
  
• AI Tools and Libraries (e.g. LangGraph, LangChain, Deep Agents, Claude Skills, etc.)
  
• AI Models (e.g. Claude, OpenAI, etc.)
  
• AI Concepts (e.g. Prompt Engineering, RAG, Agentic AI, etc.)
  
• Distributed SDLC/DevOps (e.g. github, pipelines, VS Code, testing frameworks, etc.)
  
• Platforms (Container Platforms, Cloud Platforms, Document Databases, AWS)
  
• API Design
  

• 
  
• Deep hands-on experience in Python for AI/ML development.
  

• 
  
• Generative AI Development: Proven experience developing Gen AI or AI/ML solutions, from use case conceptualization to production deployment.
  
• Infrastructure & DevOps: Strong understanding of cloud environments (AWS preferred), LLM hosting, CI/CD pipelines, Docker, and Kubernetes.
  
• Agentic AI Concepts: Knowledge of agentic/autonomous systems (e.g., reasoning, planning, tool use).
  

• 
  
• Proficiency in Python development and FastAPI/Flask frameworks, along with SQL.
  
• Familiarity with agentic AI frameworks and concepts such as LangChain, LangGraph, AutoGen, Model Context Protocol (MCP), Chain of Thought prompting, knowledge stores, and embeddings.
  
• Experience developing autonomous agents using cloud-based AI services.
  
• Experience with prompt engineering techniques and model fine-tuning.
  
• Strong understanding of reinforcement learning, planning algorithms, and multi-agent systems.
  
• Experience working across cloud platforms (AWS, Azure, GCP) and deploying AI solutions at scale.
  

• 
  
• Provide deep technical leadership to a portfolio of high impact data science initiatives involving sales and advisor experience. Identify the optimal sets of data, models, training, and testing techniques required for successful product delivery. Remove complex technical impediments
  
• Leverage your experience and skills to identify new opportunities where data science and AI can improve experiences, gain efficiencies, and generate sales.
  
• Manage team members in AI/ML and model development, testing, training, and tuning. Apply hands-on experience to ensuring best-in-class model development. Mentor team members in technical skill development and product ownership.
  
• Communicate clearly and concisely, in writing and verbally, all facets of model design and development. Continuously look for insights in models developed and generate new ideas for model improvement.
  
• Manage external vendors in the execution of parts of the data science development process as needed.
  
• Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code on Prudential's AI/ML platform.
  
• Bring a deep understanding of relevant and emerging technologies, give technical direction to team members and embed learning and innovation in the day-to-day.
  
• Work on significant and unique issues where analysis of situations or data requires an evaluation of intangible variables and may impact future concepts, products or technologies.
  
• Familiarity with Python, SQL, AWS, and JIRA.
  
• Familiarity with LLMs, deployment of LLMs, RAG, LangChain, LangGraph, and Agentic AI concepts.
  

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• Applied Statistics, Computer Science, or Engineering or experience in related fields with a focus on machine learning, AI, and LLMs.
  
• Junior category industry experience with responsibility for developing and delivering advanced quantitative, AI/ML, analytical and statistical solutions.
  
• Ability to lead a small team with minimal guidance and effectively leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization to deliver AI products.
  
• Ability to influence business stakeholders and to drive adoption of AI/ML solutions.
  
• Experience with agile development methodologies, Test-Driven Development (TDD), and product management.
  
• Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business
  
• Demonstrated ability to mentor and operational management of data science team based on project requirements, resourcing requirements, and planning dependencies as appropriate, anticipate risks and bottlenecks and proactively takes actions
  
• Excellent problem solving, communication and collaboration skills, and stakeholder management
  
• Significant experience and/or deep expertise with several of the following:
  
• Machine Learning and AI: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models. Expertise in traditional machine learning models (unsupervised, XGBoost, etc.) and Large Language Models (OpenAI, Claude).
  
• Model Deployment: Understanding of model development life cycle, CI/CD/CT pipelines (using tools like Jenkins, CloudBees, Harness, etc.), A/B testing, and pipeline frameworks such as AWS SageMaker, and newer AWS/Azure Agentic AI infrastructure products.
  
• Data Acquisition and Transformation: Acquiring data from disparate data sources using APIs and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python.
  
• Database Management Systems: Knowledge of how databases are structured and function in order use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc.
  
• Data Analysis and Insights: Analyzing structured and unstructured data using data visualization, manipulation, and statistical methods to identify patterns, anomalies, relationships, and trends.
  
• Programming Languages: Python and SQL
  

Who We Are

Singlewire Software is the developer of Visitor Aware and InformaCast, leading visitor management and emergency notification platforms. Our software is used by more than 6,000 organizations around the world, including leaders in education, healthcare, manufacturing and other fields. We strive to keep people safe and informed, everywhere, every time.

The Opportunity

We have an exciting opportunity for a highly skilled Wireless Solutions Engineer to serve as the primary technical authority for wireless hardware, network design, deployment, and support of our new wearable panic button and alerting solutions leveraging Bluetooth Low Energy (BLE) and LoRaWAN technologies. This customer-facing role combines deep technical expertise with strong engagement across engineering, sales, partners, and customers ensuring that all deployed systems meet performance, reliability, and scalable standards. This position is located in Madison, WI.

Key Responsibilities:

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• Provide pre and post sales technical support, including RF predictive modeling and solution design and serve as an escalation point for complex technical issues.
  
• Help develop scalable installation models, develop and maintain acceptance procedures.
  
• Analyze and diagnose RF (Radio Frequency) interference, power consumption, and connectivity issues.
  
• Develop training materials and conduct sessions for partners and customers.
  
• Evaluate, test, and validate wireless hardware, sensors, and gateways.
  
• Serve as the escalation point for complex technical deployment and performance issues.
  

Required Qualifications:

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• Bachelor's degree in Electrical Engineering, Wireless Communications, related field or equivalent experience.
  
• Minimum 3 years of experience in wireless network design, RF engineering, or IoT deployment.
  
• Demonstrated success supporting customer-facing technical roles.
  
• Deep expertise in BLE and LoRaWAN protocols.
  
• Proficiency with RF design tools such as Hamina Planner, Ekahau, or iBwave.
  
• Ability to travel approximately 25% of the time.
  

Preferred Qualifications:

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• Certifications:
  
  
  • 
    
  • Hamina Certified Wireless Architect (HCWA)
    
  • Certified Wireless Network Administrator (CWNA)
    
  • Certified Wireless Design Professional (CWDP)
    
  • LoRaWAN Professional Certification
    
  
  
  
• Experience supporting large-scale IoT or wearable panic button deployments.
  
• Prior partner enablement or channel support experience.
  
• Strong analytical and problem-solving abilities.
  
• Excellent written and verbal communication skills.
  
• Ability to translate technical concepts into operational procedures.
  
• Strong organizational and project management skills.
  
• Ability to work independently and in cross-functional teams.
  

Job Title: SAP Cutover Manager (S/4HANA)

Location: Jacksonville, FL | Travel Required: Up to 75%

Employment Type: Full-Time / Contract

Job Summary

We are seeking an experienced SAP Cutover Manager to lead and coordinate the transition from legacy systems to SAP S/4HANA during enterprise transformation initiatives. This role is responsible for planning, managing, and executing all cutover activities leading up to and during system go-live. The ideal candidate will have strong experience with SAP implementations, data migration, and Procure-to-Pay (P2P) processes, and will serve as the central point of coordination between functional, technical, and business teams during critical deployment phases.

The position is aligned with our Jacksonville, FL office and requires up to 75% travel depending on project needs.

Key Responsibilities

Cutover Planning & Strategy

• Develop and manage a detailed cutover strategy and execution plan, including comprehensive cutover checklists and hour-by-hour activity timelines.
• Define system downtime windows, migration schedules, validation activities, and go-live readiness checkpoints.
• Identify dependencies, risks, and mitigation strategies across project workstreams.

Mock Cutovers & Rehearsals

• Lead mock cutovers / dress rehearsals to test the cutover plan and validate timing and sequencing of activities.
• Refine procedures based on rehearsal outcomes and ensure team readiness for go-live.

Cross-Functional Coordination

• Coordinate across technical teams (ABAP, Basis, security, data migration) and functional teams (Finance, Procurement, Supply Chain) to ensure tasks are executed in the correct sequence.
• Manage system transports, configuration readiness, and deployment dependencies.

Data Migration Oversight

• Oversee migration of master data (Vendors, Materials) and open transactional data (Open Purchase Orders, Invoices) into SAP S/4HANA.
• Ensure proper extraction, transformation, and loading (ETL) processes using tools such as LSMW or LTMC.
• Coordinate data validation and reconciliation with business stakeholders.

Go-Live Execution

• Direct cutover activities during the go-live window, ensuring tasks are completed according to the approved plan.
• Monitor progress, track issues, and escalate risks as needed.
• Facilitate command center or war-room coordination during deployment.

Hypercare & Stabilization

• Support post-go-live hypercare activities, including issue tracking, coordination of fixes, and transition to steady-state operations.
• Work with business and technical teams to stabilize the environment and ensure adoption.

Required Qualifications

• 8+ years of experience in SAP implementations or ERP transformation programs.
• Proven experience managing cutover activities for SAP S/4HANA deployments.
• Strong understanding of Procure-to-Pay (P2P) business processes.
• Experience coordinating across multiple SAP teams and stakeholders.
• Familiarity with SAP data migration tools such as LSMW or LTMC.
• Strong project management, organizational, and communication skills.

Preferred Qualifications

• Experience with SAP S/4HANA greenfield or brownfield implementations.
• Background in SAP Project Management or Program Management.
• PMP, SAP Activate, or similar certifications are a plus.

Travel Requirements

• Up to 75% travel depending on project phase and deployment schedule.

Location

• Jacksonville, FL

Position - Cloud DevOps Engineer

Location - Chicago, IL ( Need Locals/Onsite )

Duration : 12 Months

Rate : $60/Hr on C2C (Max No rate)

Job Description:

• Design, implement, and maintain scalable and secure cloud infrastructure on Amazon Web Services (AWS).
• Build and manage end-to-end CI/CD pipelines using Harness CI/CD to automate build, test, and deployment workflows.
• Implement and maintain application performance monitoring using Dynatrace.
• Integrate security scanning tools such as Veracode, Wiz, and SonarQube within CI/CD processes.
• Ensure adherence to DevSecOps best practices and compliance standards.
• Automate infrastructure provisioning using Infrastructure as Code (IaC) tools (Terraform or CloudFormation).
• Deploy and manage containerized applications using Docker and Kubernetes.
• Implement centralized logging, monitoring, and alerting to maintain system reliability and operational visibility.
• Manage version control systems such as Git, including branching and merging strategies.
• Optimize cloud resources to enhance application performance and reduce infrastructure costs.
• Collaborate with development teams to troubleshoot build, deployment, and environment-related issues.
• Maintain high availability, fault tolerance, and disaster recovery strategies for production systems.
• Monitor system health and respond to production incidents in a timely manner.
• Document infrastructure architecture, deployment processes, and operational procedures.
• Ensure proper configuration management and consistency across environments.
• Participate in release planning and support deployment strategies.
• Implement automated testing and validation steps within the CI/CD workflow.

Murali C

Job Title – Senior KDB+ Developer--SINDC5764860

Location – Westlake, TX / Jersey City, NJ / Merrimack, NH / Smithfield, RI / Boston, MA

Duration – Long Term

Job Summary

The Sr. KDB+ Developer will work within the Regulatory Reporting Technology team to build and maintain critical brokerage applications.

This role focuses on hands-on development, architecture participation, system analysis, and delivery of high-quality applications used for regulatory reporting across multiple asset classes.

The developer will collaborate with business partners and cross-functional technology teams to support reporting solutions operating under high regulatory scrutiny.

Key Responsibilities

• Develop, enhance, and maintain applications supporting regulatory reporting functions.
• Collaborate with business teams and other technology groups to build reporting capabilities across multiple asset classes.
• Participate in architecture discussions, solution design, and technical analysis.
• Deliver hands-on development using foundational languages such as KDB, Java, and Python.
• Support end-to-end development, deployment, testing, and operational processes.
• Work within Agile environments, including Kanban and Scrum teams.
• Support application deployment automation and CI/CD pipelines.
• Develop user interface components using frameworks such as Angular or React.
• Work with relational and NoSQL databases for application development.
• Utilize DevOps tools, including Kubernetes, Maven, Jenkins, Bitbucket/Stash/Git, Docker, and Ansible.
• Troubleshoot and maintain event-streaming integrations such as Apache Kafka.
• Support automated deployments using tools such as uDeploy.
• Develop REST-based microservices and API-driven integrations.
• Collaborate with partners to deliver innovative and compliant data solutions.

Required Qualifications

• Extensive experience with KDB+.
• 10+ years of experience in foundational development languages (KDB, Java, Python).
• Strong proficiency in Linux and bash.
• Experience with high-volume dataset management.
• Familiarity with Control-M.
• 5+ years of experience with user interface frameworks (Angular, React, etc.).
• Hands-on experience with application deployment automation and CI/CD pipelines.
• Experience with relational and NoSQL databases.
• Experience with event streaming platforms such as Apache Kafka (preferred).
• Experience using version control tools such as Bitbucket, Stash, or Git.
• Experience working with Artifactory and API registries.
• Knowledge of automated deployments using uDeploy.
• Experience developing REST microservices.
• Experience working in Agile environments (Kanban and Scrum).

Preferred Qualifications

• Experience working with containerization and orchestration tools such as Kubernetes and Docker.
• Familiarity with DevOps practices and tools such as Maven, Jenkins, and Ansible.
• Experience working in regulatory reporting, capital markets, or brokerage environments.
• Experience with event-driven architectures or real-time data pipelines.