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Role: Java FSD Lead with Angular Location: Dallas, TX (Onsite) Duration: Long Term Interview Type: Face to Face in Final Round Mandatory Need Ex-Employee: Google, Microsoft, JPMorgan Chase, AMEX, Capital One, Netflix, Apple, Amazon, Walmart, American Airlines Job Description: We are seeking a highly experienced Full Stack Engineer with a strong background in Java, Angular, and AWS to join our team. The ideal candidate will have a proven track record of delivering high quality, scalable, and secure applications in a fast paced Agile environment. Key Responsibilities Design, develop, and maintain full stack applications using Java, Angular, and AWS services Build and integrate microservices using Spring Boot, REST APIs, and distributed system principles Develop front end components using Angular, JavaScript, HTML, and CSS Implement robust CI/CD pipelines and cloud-native solutions leveraging AWS services Collaborate with cross-functional teams in an Agile/Scrum environment Work on application integrations such as SOAP/REST services, ESB, JMS, and data/file transfer mechanisms Required Skills & Experience: 15+ years of hands-on programming experience with Java, J2EE, XML, Web Services. • Strong experience with AWS services including:, • EC2, S3, Lambda, SQS, SNS, Step Functions, • AWS Code Build, Code Commit, Code Pipeline, API Gateway, • AWS CLI, YAML/Cloud Formation, Server less deployments, • Proficiency in Angular (4/5/6/8), JavaScript, HTML, CSS, • Strong understanding of Microservices architecture, Spring, Spring Boot, Hibernate, REST APIs, • Experience developing in distributed application environments, • Hands-on experience working in Agile Scrum teams, • Experience with application integrations (SOAP/REST, ESB, JMS, file/data transfers, etc.

Role: Java FSD Lead with Angular Location: Dallas, TX (Onsite) Duration: Long Term Interview Type: Face to Face in Final Round Mandatory Need Ex-Employee: Google, Microsoft, JPMorgan Chase, AMEX, Capital One, Netflix, Apple, Amazon, Walmart, American Airlines Job Description: We are seeking a highly experienced Full Stack Engineer with a strong background in Java, Angular, and AWS to join our team. The ideal candidate will have a proven track record of delivering high quality, scalable, and secure applications in a fast paced Agile environment. Key Responsibilities Design, develop, and maintain full stack applications using Java, Angular, and AWS services Build and integrate microservices using Spring Boot, REST APIs, and distributed system principles Develop front end components using Angular, JavaScript, HTML, and CSS Implement robust CI/CD pipelines and cloud-native solutions leveraging AWS services Collaborate with cross-functional teams in an Agile/Scrum environment Work on application integrations such as SOAP/REST services, ESB, JMS, and data/file transfer mechanisms Required Skills & Experience: 15+ years of hands-on programming experience with Java, J2EE, XML, Web Services. • Strong experience with AWS services including:, • EC2, S3, Lambda, SQS, SNS, Step Functions, • AWS Code Build, Code Commit, Code Pipeline, API Gateway, • AWS CLI, YAML/Cloud Formation, Server less deployments, • Proficiency in Angular (4/5/6/8), JavaScript, HTML, CSS, • Strong understanding of Microservices architecture, Spring, Spring Boot, Hibernate, REST APIs, • Experience developing in distributed application environments, • Hands-on experience working in Agile Scrum teams, • Experience with application integrations (SOAP/REST, ESB, JMS, file/data transfers, etc.

As a Netflix Tagger, you’ll watch movies, TV shows, documentaries, and other original content on Netflix and assign relevant metadata and tags that help improve Netflix’s recommendation algorithm. Your insights help personalize what millions of viewers see when they open Netflix.

Bring your energy to the role of Netflix Data Analyst to adapt to shifting priorities and business needs, work collaboratively across teams and departments, and provide excellent service to customers and team members.

Be part of our success story as a Netflix QA Tester to perform daily responsibilities with dedication.Provide excellent interactions with customers and colleagues.Ensure compliance with company and safety standards.Perks include competitive pay, flexible schedules, hands-on training, a collaborative

Take the next step in your career as our new Netflix Customer Service Advisor (Remote) to follow safety procedures and company policies, gain knowledge of company offerings to better serve clients, and provide excellent service to customers and team members. Other duties include support the preparat

Bring your energy to the role of Netflix IT Help Desk Technician to assist with organizing, stocking, and general upkeep, support the preparation and delivery of goods or services, and adapt to shifting priorities and business needs.

Now hiring an experienced Netflix Subtitle Editor to review and correct subtitles for timing and accuracy.

Join our growing team as a Netflix Content Tagger to categorize and tag streaming content for improved recommendations.

Now hiring an experienced Netflix Marketing Assistant to coordinate campaigns and support marketing efforts.

MatchPoint Solutions is a fast-growing, young, energetic global IT-Engineering services company with clients across the US.We provide technology solutions to various clients like Uber, Robinhood, Netflix, Airbnb, Google, Sephora, and more! More recently, we have expanded to working internationally i

Job DescriptionWe’re Topaz Labs, and we’re building a new way to edit photos with our product Photo AI. Over 1.5M creative professionals trust us with their work, including teams at Apple, Netflix, NASA, and more. We've processed over 1 billion images, achieved 1600% revenue growth in the last 5 years, and we're just getting started. We’re looking for our first Product Manager to drive our product forward by owning the intersection of product vision, customer needs, and technology. About usOver 1 million customers (including companies like Apple, NASA, Netflix) have used us for over 1 billion photos. Our tech has been covered by Fast Company, The Verge, Engadget, Mashable, BBC, and more, and we’re building a new way to edit photos that will make us a household name for creators in a few years. We're undergoing rocketship growth and this role has the opportunity a massive impact. We have a world-class team that executes quickly, obsesses about the customer experience, and promotes from within, oh and we're profitable with an infinite runway. About the roleAs Technical Product Manager, you will report directly to our product lead for our image apps. You’ll obsess both about the high-level vision of the product and the tiny details in execution that create a world-class product experience. Unlike with many product manager roles, proficiency with meetings and documentation is not required here; the important part is the ability to create a truly great product with an elite team. This is a special role for a builder obsessed with creating a game-changing new product, and likely not suitable for someone primarily interested in a comfortable career at a large company. If you apply, please tell us something that you believe about building products that very few people would agree with you on.About you • 3+ years of experience as a PM or software engineer, • You’ve played a leading role in building a successful product before, either as a founder or key product person, • You’re a photographer, • You have strong design sense and UX ability, • You are obsessive and work harder than anyone else you knowPreferred, • You’ve built desktop or saas products for prosumers or consumers

Job DescriptionWe use AI to do things that were previously impossible. Topaz Labs builds professional-grade software that uses deep learning to enhance image and video quality. Over 1 million photographers and designers trust us with their work, including teams at Apple, Netflix, NASA, and Disney. We’ve processed over 1 billion images, achieved massive revenue growth, and we’re only getting started.We are a small, profitable, and product-led team that values craftsmanship and impact over activity. We don’t just ship features; we solve hard problems to help creatives do their best work. As our first Principal Security Engineer, you will own the security posture for the entire organization—from the cloud to the colo, and from the training cluster to the office network.This is not a high-level compliance role. You will be reporting directly to the Head of AI Engine, but your scope spans the entire company. You must be willing to get your hands dirty.We operate a hybrid infrastructure: AWS, massive on-premise GPU training clusters in our colocation facility, and a corporate fleet of devices. Your mission is to secure every layer of this stack. You will have complete autonomy to architect security for our compute resources, manage office/colo networks, and harden our endpoints.About the role • Secure the Hybrid Infrastructure (AWS & Colo): You will be the single owner for security across our cloud environments and our physical colocation data centers. This includes configuring firewalls, managing physical network security, and hardening our Linux GPU clusters., • Corporate & Endpoint Security: You will own the security of our internal tools and devices. You will manage our fleet (primarily macOS) using Jamf and oversee identity management via Active Directory., • You ensure our creative workflows are secure without being obstructive., • Hands-On Penetration Testing: We don't just rely on external audits. You will regularly conduct hands-on penetration tests against our internal networks, office infrastructure, and AI applications to find vulnerabilities before anyone else does., • Secure the AI Supply Chain: Our models are our most valuable IP. You will design systems to protect our model weights during training, storage, and delivery, ensuring they are tamper-proof and secure from theft or reverse engineering.About you, • You are a hands-on generalist. You are just as comfortable configuring an IAM policy in AWS as you are setting up a switch in a colocation rack or writing a script for Jamf., • You have a craftsmanship mentality. You take personal pride in building systems that are robust, elegant, and secure by default. You don't just patch holes; you eliminate entire classes of vulnerabilities., • You are an infrastructure native. You are fluent in Linux internals, networking, and container orchestration. You understand the unique security challenges of cloud, distributed, and HPC environments., • You value truth over comfort. You are willing to have hard conversations about risk and prioritize fixing root causes over applying band-aids., • You think like an attacker. You don't wait for a report to tell you something is wrong. You actively probe our defenses (office, colo, and cloud) to prove they work.Qualifications, • 7+ years of experience in security engineering, with a mix of infrastructure, corporate IT, and offensive security., • Deep hands-on experience with cloud security and compliance (AWS, IAM, VPC, SOC II, Vanta)., • Proven experience with Endpoint Management & Identity: Expert-level knowledge of Jamf for macOS management and Active Directory (or modern equivalents) for identity governance., • Physical & Network Security: Experience securing physical office networks and colocation facilities (firewalls, VPNs, switching)., • Offensive Security: Demonstrated ability to perform manual penetration testing (network and web app).Proficiency in scripting (Python/Bash) to automate security tasks.

Job DescriptionWe're Topaz Labs, an AI tech company that builds one-click image and video quality software with deep learning. Over 1M photographers and designers trust us with their work, including teams at Google, Nvidia, NASA, and more. We've processed over 1 billion images, achieved 1000% revenue growth in the last 4 years, and we're just getting started. About us Rocketship growth and opportunity for impact ($3M → $48M revenue in six years). Over 1 million customers (including companies like Apple, NASA, Netflix) have used us for over 1 billion photos. Our tech has been covered by Fast Company, The Verge, Engadget, Mashable, BBC, and more. We're a world-class team that executes quickly, obsesses about the customer experience, promotes from within, and we're profitable with infinite runway. About the role As a DevOps Engineer on our team you would be a key part of development on all Topaz software - including our core products, Photo AI, Video AI and Gigapixel, ML model training infrastructure and distribution, and our website and other internal tooling. You will be working alongside our current devops engineer and helping expand our pipeline to deliver new products and ML models as we grow in 2024. Another chief goal is to increase automated testing and stability of our applications. You will also work closely with our product engineering team to sustain & improve biweekly update deliveries, as well as internal development processes. You will be joining an awesome team that sets a high standard for craftsmanship and feature delivery. About you • At least 2 years of professional working experience in a related field., • Deep familiarity with C++ build tools (3+ years)., • Hands-on experience with AWS, Azure, or similar cloud platforms., • Experience building and deploying CI/CD pipelines., • Experience implementing test automation., • Knowledge of networking infrastructure including CDN caching.Preferred, • Experience building releases for Windows and/or MacOS or iOS., • Experience in Python, Go or Javascript., • QT development/build experience., • Experience with Conan.

Job DescriptionWe're Topaz Labs, an AI tech company that builds one-click image and video quality software with deep learning. Over 1M photographers and designers trust us with their work, including on teams at Google, Nvidia, and NASA, and more. We've processed over 1 billion images, achieved 1000% revenue growth in the last 4 years, and we're only getting started. We're looking for a talented and motivated Software Engineer to help us craft our core desktop software apps. You will help build either Topaz Photo AI or Topaz Video AI, and own a significant part of the experience depending on whether you prefer frontend, backend, or full stack. You will have a large immediate impact every week on real people who love our software.About us • Rocketship growth and opportunity for impact ($3M → $45M revenue in five years), • Over 1 million customers (including companies like Apple, NASA, Netflix) have used us for over 1 billion photos. Our tech has been covered by Fast Company, The Verge, Engadget, Mashable, BBC, and more, • World-class team that releases weekly, obsesses about the customer experience, and promotes from within, • Profitable company with infinite runwayAbout you, • 2+ years experience in C++ or JavaScript, • You've built customer-facing products and you have a strong sense of user experience, • Proven ability to quickly learn and be effective in new technologies, • You exhibit an unusually strong work ethic, • Degree in Computer Science, Software Engineering, or equivalent professional experience

Job DescriptionWe're Topaz Labs, an AI tech company that builds software to solve imaging problems like denoising, super-resolution, and deconvolution with deep learning. Over 1M photographers and designers trust us with their work, including on teams at Google, Nvidia, NASA, and more. We've processed over 1 billion images, achieved 1000% revenue growth in the last 4 years, and we're only getting started. We’re looking for a Deep Learning Researcher to help us push the state-of-the-art in image and video enhancement. Your primary responsibility will be to explore and develop new deep learning models to solve inverse problems in imaging. You'll also evaluate customer feedback and image data to gauge performance and refine your models based on real-world usage.About us • Rocketship growth and opportunity for impact ($3M → $30M revenue in four years), • Over 1 million customers (including companies like Apple, NASA, Netflix) have used us for over 1 billion photos. Our tech has been covered by Fast Company, The Verge, Engadget, Mashable, BBC, and more, • World-class team that executes quickly, obsesses about the customer experience, and promotes from within, • Profitable company with infinite runwayAbout you, • PhD in related field, or equivalent industry experience, • Prior key contributor to significant deep learning projects for image enhancement or image processing, • Significant prior experience with CNNs and other common computer vision network architectures, • 2 years of hands-on experience with TensorFlow or PyTorch, • Good understanding of common image processing algorithms, • Working knowledge of C/C++

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Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

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