Odoo ERP Implementation Specialist (Fort Lauderdale, FL)

We are a neuroscience company in Boston which works on non-invasive neurostimulation devices. We are running a paid research study (18–50) in Charlestown. The study will take place over 20‑day window. You will be asked to come into the lab 0–1 lab times per day (60–120 min; with up to 60 min of low‑level brain stimulation).

We’re looking for an IT Operations Manager to own and scale our IT function. This is a hands-on role today: you’ll manage devices, support employees, maintain on-prem equipment, and build out the internal cloud infrastructure that powers our business. As the company grows, you’ll take on a more strategic role — setting the IT roadmap, managing vendors, and building an IT team. You’ll collaborate closely with our Cloud/SecOps team: aligning on security, integrations, and shared infrastructure, while owning the operations, employee-facing cloud systems, and support side of IT. Responsibilities Lead IT operations: endpoint management, device lifecycle, and vendor management. Be hands-on with support: onboarding, troubleshooting, tickets, and escalations. Manage on-prem hardware, office networking, and SaaS tooling. Design and implement internal cloud infrastructure for IT operations (e.g., SSO/IdP, MDM, IAM, automation, SaaS integrations). Support implementation of IT processes such as MFA, SSO, endpoint management, logging, and patch management. Improve reliability and efficiency of internal systems, with a focus on employee productivity. Collaborate with the Cloud/SecOps team on infrastructure integrations, identity management, and compliance readiness. Evaluate, select, and manage IT vendors (hardware, SaaS, MDM, networking). Document IT workflows and continuously improve processes for scale. Support compliance readiness and security audits by aligning IT operations with organizational policies and compliance frameworks. Anticipate future needs: prepare for IT team growth, design scalable processes, and eventually mentor/manage IT staff. Requirements 6+ years in IT or infrastructure roles, with at least 2 years of ownership or leadership experience. Strong hands-on experience with device management, networking, and internal cloud systems (AWS/GCP/Azure for IAM, automation, SaaS integrations). Proven success implementing IT processes and internal tooling in a growing organization. Excellent communication skills — able to set direction, influence stakeholders, and work cross-functionally. Comfortable being hands-on today while preparing to take on a more strategic leadership role as we scale. Familiarity with regulated, compliance-driven environments (e.g., CMMC, SOC 2, ISO 27001, NIST) and experience supporting compliance initiatives is a plus. Benefits Health Care Plan (Medical, Dental & Vision). 401k with 5% matching. Paid Time Off (Uncapped Vacation, plus Sick & Public Holidays). Flexible hybrid work arrangement. Relocation assistance for qualifying employees.

Aculocity, LLC – Teamcenter Administrator – Birmingham, AL Job Description: Teamcenter Administrator positions offered by Aculocity, LLC (Birmingham, AL). Manage the installation, configuration, maintenance, and support of Teamcenter PLM software at the server and client level in production and non-production environments. Position reports to Birmingham, AL office. Telecommuting permitted in accordance with company policy, but must live within commuting distance of stated office. Please submit resume to LegalCompliance@gvwgroup.com. Reference Job ID: 8963682.

Job Title: Senior Platform Engineer Location: Seattle, WA Employment Type: Full Time About Us: DMV IT Service LLC is a trusted IT consulting firm, established in 2020. We specialize in optimizing IT infrastructure, providing expert guidance, and supporting workforce needs with top-tier staffing services. Our expertise spans system administration, cybersecurity, networking, and IT operations. We empower our clients to achieve their technology goals with a client-focused approach that includes online training and job placements, fostering long-term IT success. Job Purpose: The Senior Platform Engineer will focus on designing, building, and maintaining infrastructure and automation tools to support scalable software platforms. The role involves working closely with cloud services, automation frameworks, and distributed system architectures to deliver efficient, reliable deployment pipelines and internal software solutions. Requirements Key Responsibilities Lead platform engineering efforts using tools such as Ansible, Docker, Kubernetes, and Terraform. Build and manage CI/CD pipelines, automate deployments, and maintain infrastructure as code. Develop and maintain automation scripts primarily using Python and shell scripting for system administration and data processing tasks. Design and implement internal software tools, leveraging strong software engineering and problem-solving skills. Work with complex distributed systems and microservices architectures to ensure scalability and reliability. Manage and optimize continuous integration and continuous delivery workflows including deployment automation, configuration management, and source code repository operations. Handle containerization and orchestration strategies for production deployments. Administer and architect both SQL and NoSQL databases. Collaborate within Agile/Scrum teams to deliver high-quality software solutions. Utilize monitoring tools such as Prometheus and Grafana to identify and troubleshoot performance and availability challenges in distributed environments. Address complex engineering problems through proactive investigation and resolution. Required Skills & Experience Minimum 8 years of professional experience in software engineering. At least 4 years of experience in application development. Over 4 years of expertise in automation and scripting, especially with Python. 8+ years building and managing automation/configuration management tools such as Ansible, Terraform, Chef, or Puppet. Proven track record of developing and maintaining CI/CD pipelines for 8+ years. 6+ years experience deploying production code using Docker containers. Hands-on experience with cloud platforms, preferably AWS and Azure, including both IaaS and PaaS services. Strong background in designing and operating large-scale distributed systems, with familiarity in technologies such as Java/Spring Boot, CQRS, event streaming (Kafka), and Apache Spark. Database knowledge across relational and NoSQL systems. Preferred Qualifications Experience with streaming technologies like Kafka, NATS, Kinesis, or Event Hub. Familiarity with Databricks or Apache Spark. Exposure to Elastic Search. Knowledge of API management tools such as Apigee. Experience using performance monitoring platforms such as Datadog or New Relic.

Business Analyst w/ a focus on: cyber detective job focused on SMS security Overview: The primary day to day role of this backfill will be reviewing commercial SMS traffic using various databases and web portals as well as running Splunk queries in order to identify phishing, Social Engineering, or other illegal/disallowed content. Key Responsibilities: Review commercial SMS traffic using internal databases and web portals. Execute and analyze Splunk queries to detect suspicious or prohibited content. Identify phishing, social engineering, and other malicious messaging patterns. Adhere to internal guides and industry standards Maintain detailed documentation and tracking reports for investigations. Handle confidential content with discretion and professionalism. Required Skills & Qualifications: Strong aptitude for reviewing large datasets with high attention to detail. Solid understanding of phishing and social engineering tactics. Experience with database querying tools (preferably Splunk). Thorough and cautious approach to investigations, with an understanding of the potential impact of errors in a production environment. Proven ability to maintain accurate and comprehensive documentation. Familiarity with Shortcode, 10DLC, and Toll-Free number systems. Preferred Qualifications: Prior experience working on confidential or sensitive projects. Exposure to dark projects or environments involving secure content review.

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. Are you a Machine Learning Engineer with expertise in Google Cloud Platform (GCP) and Vertex AI? We are looking for two talented professionals to join our team in a fully remote, onshore capacity. If you thrive in building and deploying scalable AI solutions, this role is for you! What You'll Do: Collaborate with cross-functional teams to design and deploy ML models. Develop reusable, scalable code for AI/ML applications. Leverage GCP services to build end-to-end machine learning pipelines. Optimize models for performance and scalability using Vertex AI. Requirements Key Requirements: Google Cloud Platform (GCP) Experience: Strong proficiency in GCP services, including data engineering and machine learning tools. Google Vertex AI Expertise: Hands-on experience with model training, deployment, and optimization using Vertex AI. Model Development & Deployment: Proven ability to design, build, and productionize machine learning models. API Development: Skilled in developing robust APIs for seamless integrations. Python Programming with CI/CD: Experience in Python-based applications and implementing CI/CD pipelines. Why Join Us? Work remotely while contributing to cutting-edge projects. Collaborate with a dynamic team passionate about AI/ML innovation. Opportunity to work with the latest Google Cloud technologies. Ready to take the next step? Apply now and be part of a team that’s shaping the future of AI! Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.