Engineering Structures Jobs in Ellenton Manatee County Fl Remote

Description:

Located in Hershey, PA, Milton Hershey School (MHS) is a top-notch home and school where over 2,200 pre-K through 12th grade students from disadvantaged backgrounds are provided an extraordinary, cost-free, career-focused education. This is made possible by the generosity of Milton and Catherine Hershey, who established the school in 1909 and ensured it was fully endowed. Thanks to their foresight and generosity, the school has over 12,000 graduates and continues to expand to serve more students.

MHS is hiring married couples to serve as Full-time Flex Houseparents. In this unique and life-changing career, couples reside in on-campus student homes and provide care, guidance, supervision, and support for a group of approximately 8–13 students living in the home. Flex Houseparents play a vital role in creating a structured, family-like environment that fosters students’ academic, emotional, and social development so they can reach their full potential.

Responsibilities include:

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• Providing daily supervision and mentorship
  
• Managing household routines and student schedules
  
• Administering medications and ensuring student wellness
  
• Driving students to activities, as well as planning and actively engaging in developmental and recreational activities with students
  
• Leading daily devotions and accompanying students to Sunday Chapel
  
• Overseeing budgeting and household reporting
  

Upon hire, Flex Houseparents initially support various student homes and follow a working schedule of nine consecutive days on duty, followed by three days off. On weekdays, houseparents have unscheduled time while students are in school. Flex Houseparents eventually transition into a Placed Houseparent role, where they live and work with the same group of students in their own student home.

Benefits include:

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• Salary: $44,768.00 per person (approximately $168,000 total compensation per couple, including free housing, meals while on duty, utilities, and more)
  
• Comprehensive benefits: medical, dental, and vision insurance; health savings and flexible spending accounts; life insurance; disability options; retirement savings
  
• Relocation assistance and paid training provided
  

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  Paid time off provided at designated times throughout the year
  

Qualifications include:

• 
  
• Experience working or volunteering with youth
  
• This is a two-person role for couples legally married for at least two years
  
• Both spouses must be age 27 or older
  
• No more than three dependent children may reside in the student home
  
• Commitment to a smoke-free and weapon-free campus; no alcohol permitted while on duty
  
• Pet limitations: only fish and one dog of approved breeds allowed
  
• Valid U.S. driver’s license and ability to become certified to drive student home vans
  
• Comfort leading students in daily devotions and accompanying them to Judeo-Christian Sunday Chapel services (proselytizing prohibited)
  
• High school diploma or GED required
  
• Ability to lift to 50 lbs.
  
• 
  Demonstrated integrity and professionalism; MHS staff serve as role models for students
  
  

This is a unique, challenging, and rewarding career and life choice that requires a high level of commitment to student success from both spouses. For consideration, both spouses must complete individual employment applications. To learn more and apply, visit

We’re seeking dependable individuals who want to build a side income alongside their full-time work. This role offers flexible tasks you can perform outside your regular job hours. You’ll be given structured guidance and tools to identify side hustles that complement your main job, without conflict or burnout.

Responsibilities:

• Work through curated side-hustle ideas and evaluate which suit your skills and schedule

• Test and implement methods to generate extra income (e.g. remote tasks, micro-projects)

• Track your time and earnings; maintain simple reports

• Adjust your workflow and focus on the side hustles that deliver the best return

Requirements:

• Must have a full-time job already (or other main commitment)

• Reliable internet access and a device (laptop, tablet or smartphone)

• Basic organization skills and ability to work independently

• Willingness to learn and experiment

Preferred Qualities:

• Self-motivated

• Good at managing time

• Comfortable trying new things

• Able to commit a few hours each week

Benefits:

• Work on your own schedule (evenings/weekends)

• Low risk; minimal overhead

• Opportunity to scale income over time

• Support and guidance provided

We’re looking for people interested in a part-time remote opportunity to supplement their main income. This position is ideal for professionals, freelancers, and anyone who wants to improve their financial situation with flexible, manageable work.

You’ll receive access to structured resources explaining simple, effective ways to earn extra income using your existing skills and free time.

Responsibilities:

• Review step-by-step guides and apply them independently

• Choose methods that fit your experience and lifestyle

• Monitor and report your own results to measure progress

• Maintain consistency and reliability

Requirements:

• Reliable internet connection and basic computer literacy

• Strong self-motivation and time management

• Comfortable working independently

• Willingness to learn new approaches

Benefits:

• Remote and flexible schedule

• No selling or cold calling

• Practical ways to build a stable side income

• Opportunity for long-term financial growth

Readily Available Interim Customer Support Lead | VC-Backed B2B Healthtech SaaS | Boston (Hybrid)

The Client

This client is an AI-powered healthtech startup born out of a multi-year collaboration between leading academic medical centers and top-tier engineering institutions in Europe. This business has developed patented algorithms and a proprietary clinical database to help practitioners improve ultrasound screening accuracy, reduce diagnostic errors, and optimize care pathways for expectant mothers. With a clear mission to expand access to high-quality women's and children's health outcomes through technology, they are now scaling rapidly across the United States; partnering with major clinical networks and onboarding new health system clients at an accelerating pace.

The Role

This is an opportunity to own and build a support function at a company experiencing hypergrowth in the US market. Reporting to the Director of Operations, this role is for someone who sees a blank slate as an opportunity. The customer base is scaling rapidly and this position will be responsible for building the support function that grows with it. The right candidate will be hands-on, close to the product and customers before building out the systems, tooling, and team capable of sustaining growth without compromising the experience

Responsibilities

• Handle tickets and calls directly to build deep product knowledge and earn customer trust
• Design and implement the core support ticket infrastructure: SLAs, escalation paths, and cross-functional workflows with Engineering and Product
• Optimize the CRM/ticketing environment (automations, reporting, routing) and build out a self-serve knowledge base including FAQs and troubleshooting guides
• Serve as the voice of the customer, translating support patterns and user feedback into actionable product insights
• Define and track key operational KPIs and build automations to drive ongoing efficiency
• Champion team autonomy and maintain quality standards throughout a period of significant scale

What We Need to See (Essential)

• 3-5 years of B2B SaaS experience in Technical Support, Customer Support, or Operations
• Experience in implementing modern support/ticketing platforms (e.g. Zendesk, Pylon or similar)
• Proficiency in maintaining & utilizing ticketing CRMs
• Demonstrated ability to thrive in hypergrowth environments and build processes from zero
• Comfort working across time zones (specifically West Coast)
• Genuine alignment with the company's mission in women's and children's health

What We’d Like to See (Bonus)

• Experience in a healthcare or regulated SaaS environment
• Familiarity with building or scaling a support function at a Series A-C stage company
• Experience with CRM automation and reporting

Location: Hybrid

Package: $60-80 per hour

Duration: 4 months

Job Title: Director of Analytics & Insights (Amazon Agency)

Location: Milwaukee, WI

Alternate location: Or home based anywhere in the US

Industry: Ecommerce (Amazon Agency)

Channel: Mostly Amazon and

Direct Reports: Team of 5-6 Analysts

Visa: No sponsorship possible. Must have valid work authorization

Job ID: ZR_9557_JOB

Remote work policy: Full remote

Job Seniority: Executive Level, Middle Management Level

Company size: Medium (50-1000 ppl)

Company Ownership: Privately Owned

Industry(ies): Ecommerce, Consumer Goods,

Function(s): eCommerce,

Region(s): Arizona, Atlanta, Boston, Chicago, Cincinnati, Las Vegas, Los Angeles Area, New Orleans, NORTH AMERICA, USA, Dallas, California, Fort Lauderdale / West Palm Beach, Houston, Colorado, Connecticut, San Francisco Area, Florida, Miami, Georgia, Illinois, Louisiana, Massachusetts, Michigan, Minnesota, Nevada, New Jersey, New York City area, North Carolina, Ohio, Pennsylvania, Texas, Utah, Washington DC, Maryland, Delaware, Washington

Company Description

Our client is a well-established ecommerce services organization that supports brands in building and scaling their presence across major online marketplaces (Amazon and mostly). With a long-standing track record in digital commerce, the firm provides strategic and operational support spanning retail, media, creative and performance enablement. Its environment is collaborative, entrepreneurial and data-driven, with a strong emphasis on translating complexity into clear business value.

Objective of the Role

Our client is seeking a Director of Analytics & Insights to lead the strategic development of its measurement and insights capability. This individual will define how performance is measured, interpreted and communicated across client engagements, with a particular focus on ecommerce, digital advertising effectiveness and broader brand growth.

The role is designed for a senior leader who can combine technical depth with business judgment. The successful candidate will establish a clear vision for analytics and reporting, strengthen the quality of insight generation across the organization, and help create scalable frameworks that enable client teams to translate data into action. This position will also play an important role in shaping how advanced tools, automation and artificial intelligence support a modern analytics function.

Ideal Profile

The ideal candidate will bring a strong background in ecommerce analytics, digital advertising measurement and commercial insight generation, ideally gained within a brand-led environment, an agency, or a similarly complex client-facing business. A deep understanding of marketplace ecosystems is essential, particularly in relation to Amazon advertising, Amazon Marketing Cloud, omnichannel measurement and upper-funnel media effectiveness.

This person should be equally credible in technical and executive settings: capable of engaging with analysts, data partners and technical teams while also presenting clear, actionable conclusions to senior leadership. The right profile will combine strategic thinking, intellectual curiosity, sound judgment and the ability to bring structure to an evolving function.

Responsibilities

• Define and advance the analytics and insights vision for the organization.
• Establish scalable measurement frameworks covering retail performance, advertising effectiveness, brand growth and operational health.
• Lead and develop the analytics team, strengthening capabilities, role clarity and professional growth.
• Create clear standards for reporting, dashboards and insight delivery across client accounts.
• Improve the quality of interpretation by ensuring data is translated into commercial recommendations and action plans.
• Serve as a subject matter expert on advanced ecommerce measurement, including Amazon Marketing Cloud and omnichannel analytics.
• Partner with internal technology and engineering teams to improve data infrastructure, automation and reporting efficiency.
• Evaluate the current operating model and clarify ownership between analytics, reporting and client-facing teams.
• Support the development of advanced analyses that go beyond standard dashboard reporting and provide deeper strategic value.
• Ensure analytical output remains relevant, accurate, decision-oriented and aligned with the evolving needs of clients and the business.

Requirements

• Significant experience in analytics and insights leadership, including team management.
• Strong expertise in digital advertising measurement and ecommerce performance analysis.
• Demonstrated knowledge of Amazon advertising tools, metrics and measurement methodologies, including Amazon Marketing Cloud.
• Familiarity with omnichannel measurement, customer journey analysis and upper-funnel media evaluation.
• Advanced capability in SQL and experience with business intelligence and visualization platforms such as Tableau, Looker or similar tools.
• Working knowledge of statistical or analytical tools such as Python, R or equivalent.
• Ability to design measurement frameworks that connect media investment to broader business outcomes.
• Strong communication skills, with the ability to simplify complex analysis for non-technical audiences.
• Experience operating in a fast-paced, evolving environment with multiple stakeholders.
• Bachelor's degree required; an advanced degree is advantageous.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Title: AI Research Scientist

Location: San Jose, CA

Responsibilities:

• Design, execute, and analyze machine learning experiments, establishing strong baselines and selecting appropriate evaluation metrics.
• Stay up to date with the latest AI research; identify, adapt, and validate novel techniques for company-specific use cases.
• Define rigorous evaluation protocols, including offline metrics, user studies, and adversarial (red team) testing to ensure statistical soundness.
• Specify data and annotation requirements; develop annotation guidelines and oversee quality control processes.
• Collaborate closely with domain experts, product managers, and engineering teams to refine problem statements and operational constraints.
• Develop reusable research assets such as datasets, modular code components, evaluation suites, and comprehensive documentation.
• Work alongside ML Engineers to optimize training and inference pipelines, ensuring seamless integration into production systems.
• Contribute to academic publications and represent the company in research communities, as needed.

Educational Qualifications:

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred.
• Candidates with a master’s degree and exceptional research or industry experience will also be considered.

Industry Experience:

• 3–5 years of experience in AI/ML research roles, ideally in applied or product-focused environments.
• Demonstrated success in delivering research-driven solutions that have been deployed in production.
• Experience collaborating in cross-functional teams across research, engineering, and product.
• Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) are a plus.

Technical Skills:

• Strong foundational knowledge in machine learning and deep learning algorithms.
• Hands-on experience with PEFT/LoRA, adapters, fine-tuning techniques, and RLHF/RLAIF (e.g., PPO, DPO, GRPO).
• Ability to read, implement, and adapt state-of-the-art research papers to real-world use cases.
• Proficiency in hypothesis-driven experimentation, ablation studies, and statistically sound evaluations.
• Advanced programming skills in Python (preferred), C++, or Java.
• Experience with deep learning frameworks such as PyTorch, Hugging Face, NumPy, etc.
• Strong mathematical foundations in probability, linear algebra, and calculus.
• Domain expertise in one or more areas: natural language processing (NLP), symbolic reasoning, speech processing, etc.
• Ability to translate research insights into roadmaps, technical specifications, and product improvements.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Pecan POS is seeking a skilled and detail-oriented QA Automation Engineer to join our growing engineering team. In this role, you will be responsible for designing, developing, and maintaining automated testing frameworks to ensure the reliability, performance, and scalability of our point-of-sale (POS) platform used by hospitality businesses.

You will collaborate closely with software engineers, product managers, and QA specialists to improve software quality, reduce regression risk, and support continuous integration and delivery. This is an excellent opportunity to contribute to a fast-paced environment where quality and innovation are critical to delivering reliable transaction systems.

• Design, develop, and maintain automated test frameworks for web and API testing

• Create and execute automated regression, integration, and end-to-end tests

• Collaborate with developers and product teams to define test strategies and acceptance criteria

• Identify, document, and track defects through resolution

• Integrate automated tests into CI/CD pipelines to support continuous delivery

• Perform API testing and validate system integrations

• Conduct root cause analysis and contribute to quality improvements

• Maintain test environments and test data for consistent automation execution

• Participate in code reviews and support quality engineering best practices

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience)

• 3+ years of experience in software testing and automation

• Strong experience with automation tools such as Selenium, Cypress, Playwright, or similar frameworks

• Experience with API testing tools such as Postman or RestAssured

• Familiarity with programming languages such as Java, Python, JavaScript, or C#

• Experience with SQL and database validation

• Understanding of Agile development and the software testing lifecycle

• Experience with version control systems such as Git

• Strong problem-solving and analytical skills

• Experience testing POS systems, fintech platforms, or payment processing systems

• Experience with CI/CD tools such as Jenkins, GitHub Actions, or GitLab CI

• Familiarity with cloud environments (AWS, Azure, or GCP)

• Experience with performance testing tools such as JMeter or k6

• Fully remote work environment

• Competitive salary

• Opportunity to work on mission-critical transaction systems

• Collaborative engineering-focused culture

• Professional development and growth opportunities

Optomi, in partnership with a leading logistics company is seeking a Senior Full Stack Java Developer (Java / Kafka / Spring Boot / AWS) to support and modernize critical systems within the Mechanical organization. This team maintains locomotives, railcars, and detector systems that capture millions of operational and safety data points across the network.

About the Position: The role focuses on refactoring legacy microservices, scaling event-driven architectures, re-platforming rules engines, and building cloud-native, resilient, high-volume IoT data pipelines. This is a high-impact engineering role where your work directly influences safety, reliability, and operational efficiency across one of the largest transport networks in the US.

Apply Today if your Background Includes:

• 6+ years of Full Stack experience with a backend emphasis in Java Spring Boot development.
• Strong event-driven architecture + Kafka experience
• Proven experience modernizing legacy microservices & distributed systems
• AWS Cloud experience
• Hands-on Python experience for backend/data workflows
• DevSecOps mindset: automated testing, CI/CD, secure coding
• Experience supporting both greenfield and legacy systems
• Strong relational DB experience (Postgres preferred)
• Experience handling IoT or high-volume sensor data pipelines
• Familiarity with open-source tooling and cloud-agnostic architectures
• Ability to mentor junior engineers and provide technical leadership

What the Right Professional Will Enjoy!

• Fully remote work opportunity with up to 20% travel.
• Opportunity to work with a fast-growing team focused on modernization, cloud adoption, and automation.
• Direct impact on safety, rail operations, and national freight logistics.
• Work on high-volume IoT, event-driven architectures, cloud-native systems.
• Exposure to AI/GenAI, automation, and open-source tooling
• Leadership opportunities with junior developers

Responsibilities:

• Modernize legacy microservices and distributed systems supporting mechanical operations and detector networks.
• Design and implement backend services using Java, Spring Boot, event-driven patterns, and Kafka.
• Scale and optimize high-volume IoT data pipelines (30M+ incoming data points from sensors/detectors).
• Lead architecture, design, and deployment efforts for new and existing services.
• Refactor and support large rules-engine frameworks (600+ rulesets).
• Contribute to cloud-native development (AWS preferred; Azure acceptable; cloud agnostic mindset encouraged).
• Use Python for backend workflows, automation, and data processing tasks.
• Build automated CI/CD and testing frameworks following DevSecOps best practices.
• Work with Postgres and relational databases to tune, model, and integrate data.
• Mentor junior developers and support a strong engineering culture focused on speed, clarity, and automation.
• Collaborate across teams to build scalable, modern systems.
• Support both new development and the existing application footprint.