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We are seeking a highly skilled Senior Full Stack Developer to support our privacy-focused initiatives. The ideal candidate will have a strong background in backend development using Python, RESTful API design, CI/CD automation, and modern JavaScript frameworks. You will play a key role in building and maintaining systems that ensure compliance, data protection, and privacy excellence.

Responsibilities

• Design, develop, and maintain robust full stack applications for privacy-related projects.
• Build scalable RESTful APIs in Python and integrate with various internal and external systems.
• Implement and optimize CI/CD pipelines to ensure smooth deployments and continuous quality.
• Collaborate with data privacy teams to support compliance and security objectives.
• Develop user-facing components using JavaScript and integrate them with backend services.
• Work with SAS products as part of existing analytic and privacy workflows.
• Troubleshoot and optimize backend and frontend performance.
• Document technical designs, processes, and best practices.

Qualifications

• Minimum 6 years of experience in full stack development.
• Strong proficiency in Python and JavaScript.
• Proven experience building and managing REST APIs.
• Experience setting up and maintaining CI/CD pipelines.
• Working knowledge of SAS products and their integration in enterprise environments.
• Strong understanding of data security and privacy concepts.

Nice to Have

• Background in banking or financial industries.
• Experience with SQL and database optimization.
• Familiarity with OneTrust or BigID privacy management tools.

Program Manager – Order Management

Overview:

Key Responsibilities:

• Lead end-to-end program management for functional enhancement initiatives across multiple workstreams.
• Partner closely with architects, scrum masters, and cross-functional stakeholders to align priorities and drive project execution.
• Maintain an up-to-date project plan, ensuring milestones, risks, and dependencies are clearly communicated.
• Translate business objectives into actionable plans, aligning IT deliverables with organizational goals.
• Drive operational excellence across order management, fulfillment, and business operations initiatives.
• Develop and deliver executive-level presentations and reports that articulate program status, business impact, and value delivered.

Must-Have Qualifications:

• Industry experience in Semiconductor/Manufacturing environments.
• 8+ years of experience in Portfolio and Program Management, leading large-scale business or IT transformation programs.
• Strong background in Order Management (Order to Delivery, Order to Cash) and Fulfillment processes.
• Proven ability to manage complex programs involving cross-functional global teams in a fast-paced, dynamic environment.
• Excellent communication, presentation, organization, and analytical skills.
• Ability to bridge business and technical stakeholders, maintaining a balanced, functional perspective.

Nice-to-Have Qualifications:

• PMP or equivalent Project Management certification.
• Proficiency with program management tools such as MS Project, Smartsheet, or Monday.com.
• Self-starter with a go-getter attitude, capable of managing ambiguity and driving results with minimal oversight.
• Strong storytelling ability to translate business needs and value drivers into concise executive summaries and presentations.

Ideal Candidate Profile:

This is not a Scrum Master or Business Operations role. The ideal candidate brings a functional mindset and excels at connecting technical teams with business priorities, ensuring enhancements deliver tangible business value. They are proactive, articulate, and confident presenting to executive leadership while maintaining deep hands-on program oversight.


TSG is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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Required Skills & Experience:

• 7+ years of experience successfully driving agile delivery as a Scrum Master and/or Agile Project Manager, enabling high-performing teams to deliver complex initiatives on time and within scope.
• Proven record managing technical and data-focused projects with multiple enterprise stakeholders, achieving measurable improvements in data quality, efficiency, and collaboration.
• Deep understanding of agile frameworks (Scrum, Kanban) with hands-on experience adapting practices to suit project complexity and team maturity.
• Proficient in Jira and related agile tools, leveraging metrics and reporting to enhance visibility, track progress, and inform data-driven decisions.
• Exceptional communication and facilitation skills, fostering alignment between technical and business stakeholders and ensuring clear, outcome-focused collaboration.
• Experienced in leading distributed and cross-organizational teams, promoting transparency, trust, and accountability across time zones and cultures.

• 8+ years in data architecture, engineering, or solution design with proven experience in data platform architecture.
• Deep expertise in Snowflake (data modeling, performance tuning, secure data sharing).
• Strong hands-on experience with data clean room or equivalent privacy-preserving data-sharing frameworks.
• Solid understanding of Google BigQuery and cloud-native data pipeline design across multi-cloud environments.
• Experience defining security, access control, and governance policies for inter-company data exchange.
• Proficiency in SQL, Python, or scripting for data transformation and orchestration.
• Strong communication skills with the ability to provide architectural guidance and mentor data engineering teams.

• Lead the end-to-end architecture and design of the clean room data-sharing solution.
• Define and implement secure Snowflake-to-BigQuery data flows, including ingestion, schema mapping, transformation strategy, and validation pipelines.
• Develop architectural standards for privacy-preserving data collaboration, ensuring clean room design meets enterprise and regulatory requirements.
• Advise on best practices for Snowflake configuration, data partitioning, and role-based access to enable controlled data exchange.
• Design the security model governing authentication, token management, and API or VPN-based data transfers.
• Partner with client data engineering teams to build, test, and optimize cross-cloud pipelines.
• Establish architectural documentation, governance frameworks, and deployment guardrails to support scalability and ongoing compliance.

Computational Chemistry Modeling Engineer

Location: Remote
Anticipated Contract Length: 12+ months
Start Date: January 5, 2026

About the Company
We’re partnering with a global leader in semiconductor manufacturing equipment that enables the production of advanced integrated circuits used in consumer electronics, cloud computing, and artificial intelligence.

This organization designs and manufactures cutting-edge plasma etch, deposition, and cleaning systems used by major semiconductor companies worldwide. Their engineering teams push the boundaries of plasma physics, chemistry, and materials science to support next-generation chip manufacturing.

Position Overview
The company’s Reactor-Scale Modeling team is seeking a Computational Chemistry Modeling Engineer to support ongoing development of its plasma reactor simulation capabilities. The team recently implemented a new computational chemistry platform (Quantemol-EC) to improve how gas-phase reaction chemistry is represented within its reactor-scale models.

This position is ideal for someone with experience in computational chemistry, plasma physics, or multiphysics simulation who enjoys bridging fundamental reaction data with real-world reactor behavior.

Key Responsibilities

• Operate Quantemol-EC (or similar software) to calculate electron impact cross-sections for plasma process chemistries.
• Analyze and validate computed data using literature, experimental, or published cross-section data.
• Collaborate with reactor modeling engineers and plasma scientists to integrate chemistry data into reactor-scale plasma simulations.
• Perform data analysis, validation, and documentation of cross-section datasets and modeling results.
• Support R&D efforts to enhance the predictive accuracy of plasma process models used in semiconductor tool design.

???????Required Skills

• Proven experience with Quantemol-EC, Quantemol-P, or similar computational chemistry or plasma modeling software.
• Strong background in computational chemistry, physics, plasma science, or chemical engineering.
• Understanding of electron-molecule interactions, gas-phase kinetics, or reaction rate modeling.
• Proficiency in data analysis, scripting, and scientific computing (Python, MATLAB, etc.).
• Excellent problem-solving and communication skills; able to present complex results clearly to cross-functional teams.

Preferred Qualifications

• Advanced degree (MS or PhD) in Chemistry, Physics, Chemical Engineering, or Materials Science.
• Prior experience in plasma etch, deposition, or reactor modeling within the semiconductor or materials processing industries.
• Familiarity with R-matrix methods, DFT/MD simulations, or molecular modeling of gas-phase reactions.
• Experience with COMSOL Multiphysics, ANSYS Fluent, CFD-ACE+, or other reactor-scale simulation platforms.
• Understanding of semiconductor plasma systems, thin-film processing, or vacuum-based manufacturing environments.

Why Join This Team

• Work on cutting-edge plasma modeling initiatives that directly impact semiconductor technology advancement.
• Collaborate with a multidisciplinary R&D group combining chemistry, physics, and engineering expertise.
• Gain exposure to reactor-scale plasma modeling, simulation tool development, and process design innovation used by top chipmakers worldwide.
• Contribute to next-generation plasma reactor design and help shape the future of semiconductor fabrication.