Description:

Senior Full stack Engineer who is passionate about continuous innovation. Having at least 6+years of demonstrable development experience in React JS and Node JS together with working knowledge of LINUX, database, application deployment, version control, microservices would be key for individual' success in a fast paced / agile environment. In this support role, Engineer would bring their A-game to provide day-to-day application support, not limited to monitoring application health, enhancing the application to implement bug fixes or system changes, application deployment, design, and test.

Top skills 

• React 17 (+) – JavaScript - HTML5, CSS 

• Node JS 

• Rest APIs, microservices 

• PL/SQL (Oracle, Postgres) 

• Version Control using Git 

• CI/CD approaches

About Us

About the Role

• Full-Time
• On-site at either our SF or LA offices

Tech Stack

Ideal Experience

• Deep expertise in systems engineering across the tech stack
• Strong holistic background in machine learning theory and practice
• Diverse knowledge of neural architectures/circuits: transformers etc
• Published research at top AI conferences

Key Responsibilities

• Lead cutting-edge research in AI agents, focusing on memory, reliability, and reasoning
• Prototype and evaluate novel state-of-the-art methods/models

Interview Process

• Initial screening (virtual 15 minutes)
• Quick dive into Vast, systems and architectures (virtual 30 minutes)
• LLM assisted coding assessment (virtual 1 hour)
• Meet and greet with coding assessment (on-site 2 hours)

Annual Salary Range

• Be the technical expert in the room that positions Snowflake’s AI and ML features and value to technical stakeholders at Snowflake’s customers across the Americas.
• Partner with Snowflake account team teams and customer champions to scope and drive POCs to success and technical wins that prove the value of Snowflake’s capabilities, including executive readouts and business value cases.
• Collaborate with Snowflake’s product and engineering teams to influence Snowflake’s AI and ML roadmaps based on customer feedback.
• Publish content that helps the team and company scale beyond your individual efforts, like blog posts, presentations at conferences, or technical collateral like notebooks and demos.
• Influence, tailor and maintain Sales Engineering AI and ML selling assets, including customer presentations, demonstrations, and customer stories.

• 5+ years of experience building and deploying machine learning and generative AI solutions in the cloud.
• Familiarity and associated knowledge of generative AI techniques like RAG, few shot learning, prompt engineering, or fine-tuning that are used to operationalize enterprise AI use cases like interactive chat applications or text processing.
• Deep knowledge of Python and common ML packages (such as LangChain, pandas, sklearn, and PyTorch) as well as data engineering tools and technologies like dbt, Airflow, and Spark.
• Strong presentation skills to both technical and executive audiences, whether whiteboarding sessions or formal readouts and demos.
• Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred.

• Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, and NeMo-Guard.
• Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. AWS, Microsoft Azure, GCP, etc.)
• 1+ years of practical Snowflake experience.
• Knowledge of and experience with large-scale database technology (e.g. Snowflake, Netezza, Exadata, Teradata, Greenplum, etc.)

Location: Remote

You will code, test and debug new and existing applications as you implement capabilities to solve sophisticated business problems, deploy innovative products, services and experiences. In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership attitude and a continuous learning focus to all that you do.

Key Responsibilities:

1. Laboratory & Environmental Monitoring

• Assist with the preparation, execution, and documentation of environmental lab experiments (e.g., water/soil/air testing).

• Collect, label, and store environmental samples in accordance with safety and regulatory protocols.

• Operate and maintain lab equipment and environmental monitoring instruments (e.g., spectrometers, gas analyzers, IoT sensors).

2. Data Science & AI Integration

• Preprocess and analyze lab-generated data using Python, R, or relevant data tools.

• Collaborate with data scientists to implement AI/ML models that forecast environmental patterns or detect anomalies.

• Manage environmental data pipelines and assist in building dashboards for real-time monitoring and reporting.

3. Cybersecurity & Data Integrity

• Monitor and secure lab devices and data systems, particularly those connected to external networks or cloud environments.

• Implement cybersecurity practices such as data encryption, user access control, and incident response protocols.

• Conduct regular audits to ensure compliance with data privacy laws (e.g., GDPR, EPA data regulations).

Required Qualifications:

• Associate or Bachelor’s degree in Environmental Science, Computer Science, Cybersecurity, or a related field.

• Experience in a lab setting with a basic understanding of environmental testing protocols.

• Proficiency in Python, SQL, or R for data processing and analysis.

• Knowledge of AI/ML concepts and experience using AI tools or platforms.

• Understanding of cybersecurity principles, including data protection, network security, and risk assessment.

Preferred Qualifications:

• Certifications such as CompTIA Security+, GIAC, or Certified Lab Technician.

• Familiarity with cloud platforms (AWS, Azure) used for environmental data storage.

• Experience working with IoT or smart sensor technology for environmental monitoring.

Soft Skills:

• Strong attention to detail and analytical mindset.

• Ability to communicate technical findings to interdisciplinary teams.

• Willingness to learn and adapt to emerging technologies in environmental science and cybersecurity.

Work Environment:

• Work is performed in both laboratory and office settings.

• May involve exposure to environmental samples and chemical substances.

• Hybrid or on-site work depending on organizational needs.

Potential Employers:

• Environmental research labs

• Government agencies (e.g., EPA, NOAA)

• Environmental tech startups

• Universities and academic research institutions

• Utility and energy companies

• Develop solutions spanning multiple subject areas, from NLP to Image and Video.
• Maintain awareness of state-of-the-art machine learning and techniques, methods and platforms, including commercial and open source.
• Implement, configure and test machine learning and deep learning libraries and platforms (e.g. fast.ai, TensorFlow, Keras, XGBoost, LightGBM).
• Test solutions on AWS using services such as SageMaker, EC2, and Snowball Edge.
• Write blog posts and presentations that clearly communicate complex machine learning concepts to both technical and non-technical audiences.
• Contribute to visually-appealing, web-enabled prototype applications that illustrate relevant machine learning capabilities.

• A.A. and 13 years of in-depth relevant experience OR B.S. and 11 years of in-depth relevant experience OR M.S. and 9 years of in-depth relevant experience OR Phd and 7 years of in-depth relevant experience

• An active TS/SCI with polygraph clearance is required to start

Job Title: AI Interaction Designer

Location: Remote

Job Summary:

We are looking for a skilled and creative AI Interaction Designer to craft meaningful, intuitive, and ethical user experiences for AI-driven interfaces — including chatbots, voice assistants, and predictive systems. You’ll work closely with product managers, data scientists, UX researchers, and engineers to build smart systems that understand and adapt to user needs. This role requires a deep understanding of human-computer interaction (HCI), natural language design, and the unique challenges of designing with AI.

Key Responsibilities:

• Design conversational flows, voice interfaces, and multimodal interactions for AI-powered products.

• Translate machine learning capabilities into usable and empathetic design experiences.

• Create wireframes, user flows, and high-fidelity prototypes that bring AI interactions to life.

• Conduct usability testing focused on AI-driven experiences, iterating based on feedback and data.

• Work with NLP engineers to align on intent design, language models, and fallback strategies.

• Define persona, tone, and conversation strategy for voice/chat interfaces.

• Develop interaction patterns that enhance user trust, clarity, and transparency in AI systems.

• Address ethical challenges in AI, including fairness, bias mitigation, and explainability.

• Collaborate in agile, cross-functional teams to rapidly develop and ship user-first AI experiences.

Qualifications:

• 3–6 years of experience in UX/UI design, with at least 1–2 years focused on AI or conversational interfaces.

• Strong portfolio showcasing chatbot, voice, or AI-based interaction design work.

• Proficiency in design tools like Figma, Adobe XD, and prototyping tools (e.g., ProtoPie, Principle).

• Hands-on experience with conversational design platforms such as Dialogflow, Rasa, Voiceflow, or Amazon Lex.

• Familiarity with natural language processing (NLP), machine learning concepts, and AI ethics.

• Excellent communication and storytelling skills to advocate for user needs in AI-driven design.

• Background in psychology, HCI, linguistics, or computer science is a plus.

Nice to Have:

• Experience with LLM-based interactions (e.g., GPT-based assistants).

• Knowledge of accessibility and inclusive design in conversational interfaces.

• Coding or scripting skills for rapid prototyping (e.g., HTML/CSS, JavaScript, Python).

Why Join Us:

• Help shape the future of how humans interact with intelligent systems.

• Work in a fast-paced, innovation-driven environment.

• Collaborate with a passionate, multidisciplinary team building next-gen AI products.

• Access to mentorship, learning budgets, and growth opportunities in AI and design.

Overview

Responsibilities

• Perform formal and comprehensive application, infrastructure and other penetration testing assessments where appropriate and required
• Provide well-written, concise, technical and non-technical reports in English
• Perform vulnerability assessments and provide findings with remediation actions
• Support with various client pre-engagement interactions, including scoping activities and proposal drafting to ensure that client needs are met
• Manage and deliver penetration testing project activities within strict deadlines
• Support the QA process to ensure high quality client reports are delivered in accordance with applicable Service Level Agreement (SLA)
• Any other appropriate job duties in line with the associated skill and experience of the post holder

Skills and experience required

• Proven industry experience in application and infrastructure penetration testing
• Deep knowledge of assessing both Windows and Linux environments, including strong knowledge of Active Directory and wireless technologies
• Ability in preparing and launching social engineering campaigns (both phishing and vishing)
• Strong understanding of OWASP, PTES and other penetration testing methodologies
• Knowledge of how modern web apps are designed, developed and deployed across different platforms
• Ability to program or script in your preferred language
• Relevant degree in Computer Science, Ethical Hacking, Engineering or other relevant subject
• Relevant security qualifications (such as OSCP, CEH, GPEN)
• Good knowledge and understanding of network and OS principles
• Good knowledge of various operating systems
• Good knowledge of virtualization

Nice to have

• Knowledge of assessing cloud and hybrid environments (AWS and Azure)
• Knowledge of assessing mobile applications (iOS/Android)
• Knowledge of assessing hardware and embedded IoT devices

Personal Attributes

• Excellent spoken and written communication skills with strong attention-to-detail and accuracy
• A passion for security and networks
• Analytical and problem-solving skills with a can-do attitude and the ability to think laterally
• Self-motivation with a commitment to continued development
• Ability to work independently and as part of a team
• Influencing and negotiation skills with the ability to build relationships at all levels
• Willingness to learn

Benefits

• 25 days annual holiday plus 8 paid public holidays
• An additional day’s annual holiday for your birthday
• Pension/401k contribution
• Subsidized gym membership
• Frequent team events
• Private Healthcare (individual cover only)
• Learning Allowance Benefit
• Flexible working policy

Company Overview

• Education: Bachelor's degree in Data Science, Animation, Graphic Design, Computer Science, or a related field (or equivalent experience).
• Experience: 10+ years in data visualization, animation, or interactive design, with a portfolio showcasing emotive, data-driven animations.
• Technical Skills:
  • Proficiency in JavaScript, including libraries like D3.js, Three.js, and p5.js for interactive animations.
  • Strong command of HTML/CSS and SVG Animation.
  • Experience with Adobe After Effects, Adobe Animate, or WebGL for complex visualizations.
  • Familiarity with Python or R for data preparation is a plus.
  • Creative Skills: Skilled in storyboarding, visual storytelling, and understanding of design principles related to color, typography, and animation timing.

• Ability to interpret data and identify key trends, as well as understanding audience psychology to enhance engagement.
• Experience working remotely.
• Prior consulting experience preferred.

Resource Proposal for Cloud Security Engineer – Integration Modernization Initiative Project Name: Integration Modernization Resource Requirement: Cloud Security Engineer - Contractor Key Technologies Involved: TIBCO, APIGEE, Kafka, and other integration tools (TBD)

Executive Summary The Integration Modernization initiative aims to enhance Ulta's capabilities by modernizing existing systems, optimizing processes, and enabling seamless communication across various platforms, focusing on a move to Google Cloud Platform (GCP). As part of this effort, we will integrate a range of tools and technologies, including TIBCO, APIGEE, Kafka, and additional integration platforms (TBD) over the next 12 months. Scope of Work The Cloud Security Engineer will work closely with the Integration Modernization team to design, implement, and monitor security measures across various integration tools. They will ensure the integrity, confidentiality, and availability of data as it flows between systems. The security engineer will also assist in defining policies and best practices for integrating TIBCO, APIGEE, Kafka, and any future tools. This role will involve both strategic planning and tactical implementation. Key responsibilities include:

1. Security Assessment and Risk Management:
   • Conduct security risk assessments for integration tools (TIBCO, APIGEE, Kafka, etc.)
   • Identify and mitigate potential vulnerabilities in cloud-based architectures.
   • Ensure proper encryption and key management protocols are in place.

1. Architecture and Design:
   • Collaborate with solution architects to design secure integration architectures, ensuring proper authentication, authorization, and data protection across the platforms.
   • Work with cross-functional teams to integrate security into DevOps pipelines, CI/CD workflows, and API lifecycle management.

1. Tool and Platform Security:
   • Ensure security configurations of TIBCO, APIGEE, Kafka, and other integration tools are aligned with industry standards and organizational policies.
   • Manage security integrations with Ulta's identity management systems.

1. Monitoring and Incident Response:
   • Set up continuous monitoring for security events and anomalies across the integration platforms.
   • Respond to security incidents and provide remediation guidance in the event of breaches or vulnerabilities.

1. Compliance and Auditing:
   • Ensure compliance with relevant industry standards and regulations (e.g., GDPR, HIPAA, SOC 2, etc.) for the tools and services in use.
   • Conduct regular audits of security controls and recommend improvements as needed.

1. Documentation and Knowledge Transfer:
   • Maintain up-to-date security documentation for each platform transferring monitoring and incident response to the Security Operations Center.
   • Conduct knowledge transfer sessions for the wider IT and security teams to ensure ongoing security practices are followed.

Resource Justification The integration modernization initiative is crucial for maintaining competitive advantages and supporting the company's strategic goals. As the organization adopts new cloud-based tools and integrates multiple platforms, securing these technologies is critical to minimizing risks associated with data breaches, cyberattacks, and regulatory non-compliance. Given the breadth of tools involved, including TIBCO, APIGEE, and Kafka, a dedicated Cloud Security Engineer is required to ensure that security considerations are fully embedded into every phase of the integration process. Their expertise will not only safeguard the organization's assets but will also promote efficiency by proactively addressing potential security gaps before they evolve into major issues.

Skills and Experience Required The ideal candidate will have a combination of the following skills and experience: Technical Skills:

• Cloud Security Expertise: Experience securing cloud-based architectures, including AWS, Azure, or Google Cloud.
• Integration Platforms: Deep knowledge of integration tools such as TIBCO, APIGEE, and Kafka with a focus on security.
• API Security: Expertise in securing APIs using industry-standard protocols (OAuth 2.0, OpenID Connect, JWT, etc.).
• Network Security: Knowledge of securing microservices, messaging systems, and network communication in hybrid and multi-cloud environments.
• Identity and Access Management (IAM): Experience implementing IAM solutions for integration platforms, including SSO, RBAC, and MFA.
• DevSecOps: Familiarity with CI/CD pipelines and automating security controls within development processes.

• Develop, refine, and maintain forecasting models for the drivers in our revenue hierarchy, ensuring they align with overall financial strategy and business objectives.
• Collaborate closely with cross-functional teams, including Finance, Product, Engineers, and other Data Scientists, to ensure cohesive strategy and execution.
• Engage in stakeholder management, effectively communicating with various teams and levels within the organization to gather input and share insights.
• Drive the process of extracting actionable insights from complex data sets to influence business growth and strategic decision-making.
• Stay abreast of industry trends and advancements in data science to continually enhance our forecasting techniques and methodologies.

• BA/BS in a quantitative field such as mathematics, statistics, econometrics, or computer science.
• Minimum of 3 years industry experience in data science, preferably with exposure to financial and forecasting models focusing on revenue drivers.
• Strong communication and presentation skills, with a proven ability to convey complex data-driven insights to executive and senior management in a clear and concise manner.
• Proficient in statistical modeling and time series analysis.
• Expertise in SQL and relational databases, along with proficiency in programming languages such as R or Python.

Role Overview:

We are seeking a skilled Data Scientist to join our dynamic team, focusing on the intersection of artificial intelligence (AI), cybersecurity, and forecasting. This role involves developing predictive models to anticipate cyber threats and enhance security protocols, leveraging AI and machine learning techniques.

Key Responsibilities:

• Predictive Modeling: Develop and implement machine learning models to forecast potential cybersecurity threats and vulnerabilities.

• Data Analysis: Analyze large datasets to identify patterns and anomalies related to security incidents.

• AI Integration: Integrate AI solutions into existing cybersecurity frameworks to improve threat detection and response times.

• Collaboration: Work closely with cybersecurity analysts, IT teams, and stakeholders to align data science initiatives with security objectives.

• Reporting: Generate comprehensive reports and visualizations to communicate findings to technical and non-technical audiences.

Required Qualifications:

• Educational Background: Bachelor’s or Master’s degree in Data Science, Computer Science, Cybersecurity, or a related field.

• Technical Skills:

  • Proficiency in programming languages such as Python or R.

  • Experience with machine learning frameworks (e.g., TensorFlow, scikit-learn).

  • Familiarity with cybersecurity concepts and tools.

• Analytical Skills: Strong ability to analyze complex datasets and derive actionable insights.

• Communication Skills: Excellent written and verbal communication skills to convey technical information clearly.

Preferred Qualifications:

• Certifications: Relevant certifications such as Certified Information Systems Security Professional (CISSP) or Certified Ethical Hacker (CEH).

• Experience: Prior experience in a cybersecurity-focused data science role.

• Tools: Familiarity with data visualization tools like Tableau or Power BI.

Benefits:

• Competitive Salary: Reflective of experience and industry standards.

• Flexible Working: Options for remote or hybrid working arrangements.

• Professional Development: Opportunities for training and certifications in AI and cybersecurity.

• Health & Wellness: Comprehensive health insurance and wellness programs.