by Ronald Barron | May 21, 2025 | Uncategorized
About the Role
UI Engineer (L5) – Data Experience
USA – Remote
Job Requisition ID
JR33628
Teams
Engineering
Work Type
Remote
Netflix is one of the world’s leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.
About the team:
The Data Experience team provides powerful and personalized enterprise software for internal teams doing data discovery, creation, and visualization. Our UI solutions help unify Netflix’s data services into cohesive experiences for users, and strive to enable data-driven decision making in all aspects of our business. We focus on user-centered product delivery and prioritize features that enhance the productivity of our colleagues; indexing on connectivity, trust, innovation, and reliability. We value progress, avoid unnecessary processes, and require strong decision-making from each member of the team.
We are looking for someone who is deeply technical and has an unwavering passion for building user-centered software products. The ideal candidate should be skilled in developing reusable components and features for browser-based apps and have an incredible attention to detail.
This may be your dream job if you:
- Value simplicity and clarity in design.
- Have a background in front-end and back-end problem solving and are comfortable working across the stack.
- Passion to build stunning products that deliver measurable value to our users.
- Enjoy staying up to date with changing ecosystems.
- Passion to build a unified platform that solves interesting data problems across search, discovery, access, and attribution experiences.
- Are self-led but highly aligned with your teammates; we develop fast, and align daily.
- Exhibit exceptional communication & presentation skills.
- Multitask and independently manage your own priorities to work fast and deliver.
- Work closely with stakeholders to understand and diagnose symptoms.
- You are a reliable partner in execution of a technical strategy.
We’re looking for you to have experience with:
- Building enterprise-grade products across multiple release cycles, emphasizing usability, scalability, performance, responsiveness, and maintainability.
- Fluency in modern web technologies such as JavaScript, HTML5, CSS, React, Typescript, GraphQL, Web Components, and build tools like Vite, with the ability to evaluate and guide architectural decisions.
- Reviewing and guiding the evolution of federated API schemas, balancing local client needs with the needs of a larger enterprise ecosystem.
- Working on UI libraries or shared components that support consistency across products, especially in multi-app or federated environments.
- Mentoring other engineers on UI design and technical approaches in data-heavy domains, and presenting complex ideas clearly to technical and non-technical stakeholders.
Nice to have:
- Experience working with design systems and cross-functional product teams to define thoughtful UX patterns for technical users (e.g. data practitioners, data analysts, or engineers).
- Familiarity with the workflows, concepts and tooling of data platforms, including data lineage, data discovery, data movement, data analytics, online data stores, and search.
- Experience facilitating user research and turning ambiguous needs into clear, actionable interface patterns.
APPLY HERE
by Ronald Barron | May 21, 2025 | Uncategorized
About the Role
Cyber Threat Intelligence Analyst
locations
Remote
time type
Full time
job requisition id
JY2526237
As a Cyber Threat Intelligence Analyst, you will be responsible for identifying, analyzing, and reporting on emerging cyber threats to enhance the organization’s security posture. Your work will involve monitoring various intelligence sources, analyzing threat actor behavior, producing actionable intelligence reports, and collaborating with security teams to mitigate risks.
Major Responsibilities:
- Monitor open-source intelligence (OSINT), dark web, and internal sources for emerging threats.
- Analyze threat actor tactics, techniques, and procedures (TTPs) using frameworks like MITRE ATT&CK.
- Perform technical analysis of malware, phishing campaigns, and other indicators of compromise (IOC).
- Correlate threat intelligence with internal telemetry (e.g., logs, SIEM data) to assess organizational impact.
- Produce threat intelligence reports tailored for different audiences (executives, SOC, IR teams).
- Develop and maintain threat profiles, advisories, and alerts.
- Brief stakeholders on current threats and evolving cyber risks.
- Enrich raw IOCs with context (e.g., geolocation, threat actor attribution).
- Integrate threat intelligence feeds into security platforms like SIEM, SOAR, and TIPs.
- Tag and classify threat data to improve correlation and detection.
- Liaise with SOC, Incident Response, Vulnerability Management, and Risk teams.
- Collaborate with industry groups, government agencies, and information sharing communities (e.g., ISACs).
- Participate in tabletop exercises and red/blue team activities.
- Configure and manage CTI tools (Threat Intelligence Platforms, sandboxing tools, etc.).
- Automate intelligence gathering and processing using scripts or platforms (e.g., MISP, YARA, STIX/TAXII).
- Evaluate and integrate new threat intelligence feeds and vendors.
- Identify and model cyber threats relevant to the organization’s industry and assets.
- Contribute to risk assessments and security posture evaluations.
- Map threats to business units and critical assets.
- Monitor geopolitical events and assess potential cyber impacts.
- Provide strategic insights on threat trends and anticipate future attacks.
- Support security leadership with intelligence for decision-making and resource allocation.
Required Qualifications:
- Bachelor’s degree in Cybersecurity, Computer Science, Intelligence Studies, or a related field, or equivalent experience.
- 4 or more years of experience conducting Cyber Threat Intelligence research.
- 8 or more years of experience in the Cybersecurity field.
- Strong understanding of cyber threats, threat actors, and their methodologies.
- Experience with threat intelligence frameworks such as MITRE ATT&CK.
- Familiarity with various intelligence sources (OSINT, dark web, closed sources).
- Experience with analyzing malware, phishing campaigns, and other indicators of compromise (IOCs).
- Proficiency in producing clear and concise threat intelligence reports for different audiences.
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills.
Preferred Qualifications:
- Experience with threat intelligence platforms (TIPs) and other CTI tools.
- Familiarity with scripting languages (e.g., Python) for automation.
- Knowledge of data enrichment and integration techniques.
- Experience with security platforms like SIEM and SOAR.
- Participation in information sharing communities (ISACs).
- Relevant certifications such as CISA, CISSP, or GCTI.
Individual Competencies:
- Self-Awareness: Possesses an honest understanding of own values, desires, thought patterns, motivations, goals and ambitions, emotional responses, strengths and weaknesses, opportunities and limitations, and effect on others. Is willing to improve through feedback, insight, and perceptions.
- Teamwork: Builds relationships and works cooperatively with others, inside and outside the organization, to accomplish objectives to build and maintain mutually beneficial partnerships, leverage information and achieve results.
- Adaptable: Responds to change with a willingness to learn new ways to accomplish work objectives with a positive attitude.
- Innovative: Ability to develop, sponsor, or support the introduction of new and improved methods, products, procedures or technologies.
- Curious: A desire to inquire and learn, to seek new knowledge and wisdom, and to listen to the contributions of others with a genuine interest to better self, the team, and the organization.
APPLY HERE
by Ronald Barron | May 21, 2025 | Uncategorized
About the Role
Cloud Engineer
Job LocationsUS-Remote
Job ID 2025-12774
# of Openings 1
Category Information Technology
Overview
LMI is seeking a Cloud Engineer with DevOps experience to be part of a team that is designing and developing complex, enterprise level information systems.
Responsibilities
- Provide DevOps expertise with Infrastructure as Code (IaC) to continuously build, test, and deploy to cloud platforms.
- Perform scripting to resolve automation issues and/or deployment issues related to the AWS Cloud Platform and GitLab
- Responsible for evaluating cloud-based technical solutions/designs in accordance with client requirements
- Provide expertise to monitor the designing and engineering of infrastructure and applications to the Cloud
- Responsible for ensuring that all vendor cloud solutions comply with industry and Government-mandated security protocols, controls, and best-practices
- Work closely with Cybersecurity resources to document controls, support accreditation, Interim Authorization to Test (IATT) and Authority to Operate (ATO) documentation and provide metrics to comply with audits
- Responsible for escalating issues, problems, risks, and constraints to the appropriate levels for clarification and resolution
- Perform unsupervised, hands-on work in DoD based cloud environments
- Work independently within team environments to set up and maintain cloud architectures
- Manage multiple and competing customer priorities with little supervision
- Develop High Availability and Disaster Recovery processes in accordance with government and industry guidelines
- Help establish DevSecOps Pipelines within the Gov Cloud Framework
Qualifications
Required
- Bachelor’s degree in related technical discipline
- Minimum 3 years of hands-on experience in designing, executing, and supporting AWS environment
- Hands-on experience with platform engineering
- Extensive knowledge of scripting to Continuous Integration/Continuous Delivery (CI/CD) pipelines within GitLab
- Fluent in scripting languages such as PowerShell, Python, and Bash
- Clearance Desired: Secret
Desired
- Master’s degree in related field
- AWS Certified Solutions Architect – Associate or similar certification(s)
- Experience working secure environments
- Experience with security requirements in a federal IT environment, including FedRAMP-certified providers and FISMA requirements for acquiring an ATO
- Experience with Agile and containerization methodologies or strategies
- Agile certifications
APPLY HERE
by Ronald Barron | May 20, 2025 | Uncategorized
About the Role
Senior Front-End Engineer – Canvas & Generative UX
Engineering and Operations – Remote – Full Time
Job Title: Senior Front-End Engineer – Canvas & Generative UX
Location: Remote US OR Canada
Compensation: $140,000 – $190,000 (depending on experience) Plus Bonus and Benefits
About Centric Software:
Centric Software stands at the forefront of innovation, delivering cutting-edge PLM solutions tailored specifically for the retail, fashion, footwear, luxury, and consumer goods industries. Our enterprise software applications are designed to meet the unique challenges of the fast-moving consumer goods market, empowering businesses to manage, optimize, and execute their critical processes with ease.
From concept to production, our software solutions streamline the journey of bringing products to life. We support our customers in effectively managing materials, sourcing, quality, and pricing, ensuring every step leads to a successful final catalog. With Centric Software, businesses can navigate the complexities of product development with confidence and agility. www.centricsoftware.com
About the Role
Centric Software is developing a new generation of user experiences that combine generative AI with highly interactive visual interfaces, transforming how creative teams in fashion and retail explore, generate, and manipulate visual content.
We are seeking a Senior Front-End Engineer to lead the development of our visual canvas experience, integrating dynamic rendering, asynchronous image generation, and creative tooling into a seamless front-end layer. Think of tools with the interactivity of Figma or Miro, enhanced by the power of real-time AI.
Key Responsibilities
- Lead the design and implementation of a canvas-style front-end interface for real-time visual content interaction.
- Develop modular, scalable UI components using React, TypeScript, and MobX.
- Ensure high-performance rendering, smooth asset manipulation, and a responsive user experience across a complex UI surface.
- Collaborate with UX designers, product managers, and back-end/AI engineers to create seamless user-facing generative workflows.
- Deliver high-quality, production-ready code with testing and CI/CD best practices (Jest, Cypress, etc.).
Must-Have Qualifications
- 5+ years of experience in front-end development.
- Strong expertise in React and TypeScript, with advanced understanding of state management (preferably MobX).
- Excellent CSS and layout skills, including experience with PostCSS (note: Tailwind is not used).
- Experience working with canvas-based interfaces—such as HTML5 Canvas, Konva.js, Fabric.js, or similar libraries.
- Familiarity with Docker, Bitbucket, and deployment environments (AWS, Azure, GCP).
- Strong architectural thinking with a focus on UI performance and scalability.
Nice-to-Have Qualifications
- Experience building tools for design, creative production, or visual content workflows.
- Exposure to WebGL, shaders, or GPU-accelerated rendering techniques.
- Experience integrating generative AI APIs (OpenAI, Stability, Replicate, etc.).
- Background in developing real-time or multi-user interfaces.
Soft Skills
- Collaboration-focused: Works closely with designers, product managers, and backend engineers in a fast-paced, cross-functional team.
- Excellent communication: Can articulate technical challenges and trade-offs clearly to both technical and non-technical stakeholders.
- Attention to detail: Passionate about visual polish, smooth interactions, and pixel-perfect execution.
- Autonomous and proactive: Takes initiative, drives components end-to-end, and delivers robust features with minimal supervision.
- Creative thinker: Comfortable working in experimental spaces, rapidly prototyping and iterating on new interaction models.
- Curious and adaptable: Interested in exploring new visual paradigms, generative UX, and pushing the boundaries of front-end innovation.
APPLY HERE
by Ronald Barron | May 20, 2025 | Uncategorized
About the Role
Title: AI Research Scientist II, LLM
Location: United States
Job Description:
Join Axon and be a Force for Good.
At Axon, we’re on a mission to Protect Life. We’re explorers, pursuing society’s most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other.
Life at Axon is fast-paced, challenging and meaningful. Here, you’ll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter.
Your Impact
Do you want to contribute to the work that addresses some of today’s most challenging problems in the public safety space? Are you passionate about AI and Machine Learning? Are you looking for an opportunity to train machine learning models and deploy it in real life situations for the greater good?
As a Research Scientist II, you will investigate the research approach, assess the implementation risk and define the success metrics for multiple AI/ML projects while collaborating with other research scientists and machine learning engineers. You will be actively involving the entire AI innovation life cycle from model prototyping to deployment and continuous learning.
The ideal candidate will have a proven scientific background and a consistent track record of successfully researching and delivering scalable AI-based products with hands-on execution. We need someone willing to be fearless and more than willing to take on bold challenges. By accelerating adoption of our technologies, you’ll help protect life in public safety for both officers and the communities they serve around the world.
What You’ll Do
- Drive one or more phases in ML development: shape datasets, investigate ML architectures, train/evaluate/tune ML models, implement end-end pipeline.
- Leverage state-of-the-art research to deliver high quality models enabling multiple AI projects at scale.
- Contribute back to the research community via academic publications, tech blogs, open-source code and contributing to internal/external AI challenges.
What you Bring
- A Master’s Degree in Computer Science, Machine Learning, Statistics, Applied Mathematics or an equivalent highly technical field
- 3+ years of combined academic and industrial research experience developing LLM and other NLU models.
- Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end-to-end training pipeline.
- Experience in big data ML as well as data efficient ML that leverages techniques such as synthetic data construction, transfer learning, active learning, semi-supervised learning, few-shot learning.
- Hands on experience in developing, scaling and implementing machine learning solutions using relevant programming languages (such as Python), state-of-the-art deep learning frameworks (such as PyTorch and Tensorflow) and code development and review tools (such as Github).
- Experience in prompt engineering.
- Experience in finetuning ML models.
- Experience in developing LLM-based applications including agent-based systems, RAG-based systems.
- Be Familiar with NLU/LLM cloud services and APIs (such as from OpenAI).
- Deep understanding of metrics for offline and online evaluation of LLM-based systems.
- Track record of publications and contributions to the machine learning community.
- Experience with designing and shipping software products that leverage machine learning at scale.
- Excellent problem solving skills and ability to dive into learning optimization, model architecture, evaluation metrics, and field testing scenarios.
- Comfort communicating and interacting with scientists, engineers and product managers as well as understanding and translating the science of AI and Machine Learning to a more general audience.
Preferred
- A Ph.D. Degree in Computer Science, Machine Learning, Statistics, Applied Mathematics or an equivalent highly technical field.
- Be familiar with privacy-preserving ML and ethical AI techniques.
- Demonstrated knowledge and experience with distributed machine learning and deploying models at scale in cloud environments (such as AWS, Microsoft Azure and Google Cloud).
- Familiarity with IoT/Edge AI and optimizing ML models to run on-device with constrained compute, power and latency budgets.
- Familiarity with multi-modal AI development.
APPLY HERE
