OP

About the Company

OP is one of the fastest-growing technology consulting and solutions companies in the U.S. We offer advisory and managed services, innovative platforms, and staffing solutions to help clients harness the power of technology for maximum impact. With broad and deep industry expertise, we deliver solutions across AI, cybersecurity, enterprise architecture, and beyond.

We don't just consult--we challenge the norms of consulting. Our approach pairs out-of-the-box thinking with a radically lean model for faster, smarter, and more effective results.

At OP, our greatest strength is our people--bold thinkers, creative problem-solvers, and high performers who thrive in an agile, high-growth environment. Here, you won't just access industry-leading strategies and technologies, you'll help build them. You'll learn, innovate, and push boundaries alongside an exceptionally talented team, shaping the future of our valued clients with every project.

Listed Jobs

Company Name

OP

Job Title

Prototyper/Prototype Engineer

Job Description

Job Title: Prototyper/Prototype Engineer Role Summary: Design, build, and validate mechanical, fluidic, and electrical systems for advanced optical materials research. Create user interfaces, maintain documentation, and ensure laboratory safety while collaborating closely with research teams to iterate and improve prototypes. Expectations: Deliver functional prototypes on schedule, maintain accurate BOMs and documentation, comply with safety/regulatory standards, contribute to team knowledge base, and provide clear status reports to stakeholders. Key Responsibilities - Design, construct, and test mechanical and fluidic systems using off‑the‑shelf and custom components. - Build and fine‑tune electrical systems for precise thermal control with PID controllers. - Develop simple GUIs (Python, LabVIEW, etc.) for real‑time system interaction. - Iterate designs based on researcher feedback and experimental results. - Prepare and update detailed Bills of Materials, support budgeting and cost optimization. - Document engineering designs, technical specifications, and test procedures. - Ensure compliance with laboratory safety and regulatory requirements. - Participate in team meetings, peer reviews, and contribute to knowledge base. Required Skills - Proficient in CAD tools (SolidWorks, AutoCAD, NX). - Hands‑on experience with 3D printing, CNC machining, laser cutting, and water‑jet cutting. - Knowledge of thermal management components (heaters, thermocouples, thermal‑electric coolers, circulators, hot/cold plates, thermal interface materials). - Ability to develop simple GUIs using Python, LabVIEW, or equivalent. - Strong troubleshooting, problem‑solving, and communication skills. - Team collaboration and documentation discipline. Required Education & Certifications - Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Computer Engineering, Mechatronics, or related field. - Minimum 2 years of mechanical and/or electrical engineering experience. - Experience in prototyping, testing, and hardware system troubleshooting.

Redmond, United states

On site

Junior

24-11-2025

Company Name

OP

Job Title

Data Analyst II

Job Description

Job Title: Data Analyst II Role Summary Act as a data analytics engineer that designs, implements, and optimizes data pipelines, dashboards, and predictive models. Partner with product, engineering, and operations teams to convert raw data into actionable insights, support business decisions, and strengthen product reliability and security. Expectations - Deliver high‑quality, repeatable data artifacts within tight deadlines. - Communicate complex findings clearly to non‑technical stakeholders. - Continuously improve data processes, tools, and standards. - Leverage AI and automation to scale routine analyses. Key Responsibilities - Collaborate cross‑functionally with Product, Global Ops, WhatsApp Ops, Data Science, and Engineering to identify data needs and trends. - Build and maintain reporting layers, ETL pipelines, dashboards, and alerting systems that monitor operational performance. - Optimize and refactor pipeline code, dashboards, and frameworks for efficiency and scalability. - Own and enhance production processes, applying advanced algorithms where appropriate. - Design, construct, and deploy sophisticated data models and visualizations for multiple product domains. - Conduct independent data analysis, research, and synthesis into actionable plans and playbooks. - Propose and implement creative, technical, and quantitative solutions, including requirements for new data tooling. - Define and track metrics/KPIs for end‑to‑end product operations, ensuring reproducibility. - Utilize AI tools to automate repetitive analyses and extend analytical reach. Required Skills - Intermediate‑to‑advanced SQL for data extraction and manipulation. - Experience designing and developing ETL pipelines. - Proficiency with data visualization platforms (Tableau, Power BI, Alteryx, or similar). - Strong statistical background: hypothesis testing, regression, experimental design. - Solid understanding of data modeling and database design principles. - Ability to translate technical insights into clear, actionable briefings for non‑technical audiences. - Project management skills, with a proven track record of meeting deadlines in fast‑paced environments. Required Education & Certifications - Bachelor’s degree in engineering, data science, social science, statistics, or a related technical/research field (or equivalent practical experience). - No mandatory certifications specified.

New york, United states

On site

10-12-2025

Company Name

OP

Job Title

Software Engineer (Java/GCP)

Job Description

Job Title: Software Engineer (Java/GCP) Role Summary: Design, develop, and deploy scalable, high‑volume Java applications on Google Cloud Platform for the SCSP domain, leveraging Spring, GKE, MongoDB, Terraform, and modern web services. Expactations: • Proficient in Java, Spring, GCP, GKE, and MongoDB. • Experience with CI/CD (GitLab, Jenkins, Maven), Terraform, and web service development (REST/SOAP). • Ability to translate high‑level requirements into user stories, design solutions, code, test, and release independently while owning the full development lifecycle. • Strong collaboration, communication, time‑management, and mentoring skills. Key Responsibilities: • Architect and implement scalable, reliable systems using Java, Spring, and GKE. • Build and maintain data pipelines, microservices, and APIs (JSON, REST, SOAP). • Define user stories, design technical solutions, write code, and conduct unit/end‑to‑end testing. • Create and manage CI/CD pipelines (GitLab, Jenkins, Maven, Terraform). • Integrate applications with enterprise systems, including ERP and supply‑chain platforms. • Review code, participate in design discussions, and conduct peer reviews. • Maintain project documentation in a shared knowledge base. • Report status to stakeholders and contribute to team meetings and knowledge sharing. Required Skills: • Java & Spring Framework. • Google Cloud Platform, including GKE, Cloud Storage, Pub/Sub, Cloud Functions. • MongoDB (NoSQL) fundamentals. • Infrastructure‑as‑Code (Terraform). • Source control (Git), GitLab CI, Jenkins pipelines. • Build tools (Maven, Gradle). • Web services: REST, SOAP, JSON. • Design patterns, distributed system architecture, high‑volume application design. • Excellent communication, time‑management, and organizational skills. • Experience mentoring junior developers (preferred). Required Education & Certifications: • Bachelor’s degree in Computer Science, Software Engineering, or equivalent, or 15 + years of relevant experience. • Cloud certifications (e.g., GCP Associate Cloud Engineer) preferred but not mandatory.

Orlando, United states

On site

Senior

11-12-2025

Company Name

OP

Job Title

Data Scientist V

Job Description

**Job Title:** Data Scientist V **Role Summary:** Senior data scientist responsible for applying statistical, machine‑learning, and advanced mathematical techniques to large data sets to generate insights, develop predictive models, and translate prototypes into scalable products and services. **Expactations:** - Deliver high‑impact analytical solutions that drive business decisions. - Communicate complex findings clearly to technical and non‑technical stakeholders. - Collaborate with product engineers and cross‑functional teams to implement data‑driven features. - Contribute to team knowledge sharing, peer reviews, and technical documentation. **Key Responsibilities:** - Design, develop, and evaluate predictive models and advanced algorithms. - Generate and test hypotheses; analyze experimental results. - Transform prototypes into production‑ready products, providing implementation guidelines. - Provide Business Intelligence and data‑visualization support for dashboards and ad‑hoc requests. - Participate in team meetings, technical discussions, and maintain knowledge‑base contributions. - Report status updates to account management as needed. **Required Skills:** - Proficiency in Python and/or R. - Experience with big‑data technologies (e.g., Hadoop) and data‑visualization tools (e.g., Tableau). - Strong statistical, machine‑learning, and data‑modeling expertise. - Ability to work with large, complex datasets. - Excellent written communication skills for conveying technical concepts. **Required Education & Certifications:** - Master of Science in Computer Science, Data Science, Statistics, or a closely related field. - Relevant certifications (e.g., AWS Certified Machine Learning, Google Professional Data Engineer) are a plus.

Menlo park, United states

On site

13-12-2025