
Celara
Remote Jobs
Elite Talent, Transforming Visions into Reality
8 Jobs
• Design, build, and maintain highly responsive web applications with a strong focus on pixel-perfect UI and seamless UX. • Collaborate closely with product and design teams to translate user needs into technical requirements and robust features. • Maximize development efficiency by integrating AI-assisted coding tools into your daily workflow. • Ensure code quality, performance, and scalability across the entire frontend stack.
System Engineer – Security Administration, Endpoint Management
CelaraElite Talent, Transforming Visions into Reality
• Own the full lifecycle of endpoint protection across our workforce: CrowdStrike deployment and policy management, disk encryption, patch compliance, workstation configuration baselines, USB/device controls, and browser security. • Own the operational side of access: provisioning when people join, revocation when they leave, and nothing falling through the cracks in between. • Be the first line for security-related requests and IT issues — employee requests, alert triage, investigation support, and escalation when needed. • Own procurement, ordering destruction, and re-provisioning of endpoints. • Own the security side of the employee lifecycle end-to-end: provisioning, configuration, deprovisioning, and verification. • Ensure endpoint and access controls remain aligned to corporate security policies and compliance requirements.
• Design, build, and maintain automated test suites for our front-end products and public API — this is the primary and non-negotiable function of this role: • Lead end-to-end test automation using Playwright, covering functional, regression, cross-browser, and performance scenarios; • Own API test automation: write and maintain contract tests, functional tests, and integration tests for GFW's public and internal APIs; • Integrate automated test suites into CI/CD pipelines (Cloudbuild), ensuring tests run reliably on every relevant trigger; • Design and document test cases for user stories; validate acceptance criteria with the product team before implementation begins; • Define and maintain test suite organization — smoke, regression, and full suites — and determine which cases warrant automation vs. manual execution; • Run and maintain regression suites when new features are released or underlying data versions change; • Conduct periodic regression runs on production environments; • Work closely with the product team during user story definition to ensure testability and clear acceptance criteria from the start; Creating a test plan for every release; • Report bugs clearly in the issue tracking system and follow up until resolution working closely with product to understand impact of the bug and define priority; • Define, record, and report on QA metrics to assess coverage, test reliability, and areas of product risk; • Advance overall QA strategy, tooling, and infrastructure over time.
• Own our threat awareness across every surface • Collect, monitor, filter, enrich, and relay external signals: dark web, threat feeds, CVEs, vendor advisories • Track what's happening inside: corporate systems, cloud infrastructure, IdP, messaging and communication, endpoints, and application behavior. • Be the first to know when something looks wrong — and be able to explain it clearly • Build a library of business cases for visibility and monitoring, then implement them. • Start with Sumo Logic, grow into Elastic • Take ownership of our Sumo Logic SIEM: collectors, pipelines, data quality, and detection logic • Work toward integrating our Elastic/APM stack to extend visibility into product and platform behavior • Tune signal over noise — don't just ingest everything, make what we have trustworthy • Build solutions where they don't exist • Extract security-relevant data from sources that weren't designed to provide it • Write scripts, build pipelines, and create custom solutions when tools don't cover the gap • Show daily progress — small improvements compound • Make visibility actionable • Brief leadership regularly on attack surface, unusual activity, and emerging threats • Translate technical signals into clear, decision-ready information • Identify problems early enough that we can act, not just react
• Partner closely with our Product Managers to understand what our users need, want, and love across our applications. • Craft every detail of new product features, from ideation, quick iterations, prototyping, user testing, and production, across all screen sizes. • Be able to zoom out to understand business impact, as well as zoom into UX and UI details, from typography, layout, and interactions. • Evolve and consolidate our design systems and component library with patterns that are intuitive and practical. • Share your work in regular design reviews where you’ll seek out specific feedback on your designs from all necessary stakeholders. • Conduct research or partner with others to understand customer needs and translate those insights into products and features that solve real problems.
Our technology team is a rapidly growing group of talented and experienced engineers helping to build the leading enterprise software company focused on restaurant technology. We use a modern tech stack to build great products and solve interesting and challenging engineering and innovation problems. We are looking for an ambitious and talented AI Engineer with a strong technical background looking for an opportunity to have a huge impact and be part of a growing team in a fast-moving, exciting, and entrepreneurial space. What You’ll Do Here: Research AI technologies for current and future products Design, develop, test, deploy, and maintain demo and production software Monitor and improve current ML processes Develop software to quickly and effectively collect training data Improve the iteration time between prototype to end-user testing Convert prototype software projects into demos and production software Experience We’re Looking For: Experience in Machine Learning models Proficiency in frameworks like PyTorch or Tensorflow Building AI/ML Training Data Sets Experience with LLMs Experience in ML Forecasting, Chatbots/AI Assistants, Automatic Speech Recognition (ASR) Understanding about software development process: Code organization, test driven development, unit testing Strong understanding and opinions about source control - Git branching strategies Experience with DevOps and CI/CD environments Comfortable architecting and designing large scale systems Designing for scalability Design for high-performance - low latency, high throughput Architecting for scalable teams Current with a variety of modern technologies 5+ overall years software product development experience Specific Technology Experience: Strong Experience with Python Experience with Deep Learning models Experience with PyTorch or Tensorflow Experience with Docker - building and deploying MongoDB AWS Services Environment: Agile Scrum, Git, CI & CD, Microservices, Microservice Testing Bonus Experience: Experience with REST Based Web Services (building both services and clients of services) Experience designing and building basic web application and front end UIs Experience working with NoSQL Databases Experience working with indexed data and search engines (ElasticSearch) Experience with .NET/NET Core The Type of Team Player We Need: Proactive mindset - enjoys and exhibits a high-degree of ownership Inventive, creative and resourceful Experience working in a product company or product type software development experience Experience bringing high-quality, high-performance software to production Ability to work collaboratively with cross-functional teams Comfortable working in an environment with ambitious expectations Flexible mindset and able to deal with ambiguity Excellent communication - in person, on the phone, and in writing Intellectual curious, forward thinking, willing to suggest & try new technologies and creative approaches to problems
• Research AI technologies for current and future products • Design, develop, test, deploy, and maintain demo and production software • Monitor and improve current ML processes • Develop software to quickly and effectively collect training data • Improve the iteration time between prototype to end-user testing • Convert prototype software projects into demos and production software
We are looking for a Senior Software Engineer who is comfortable owning systems end-to-end, including development, deployment, and operational concerns. This role is development-first, but requires strong DevOps awareness and willingness to handle infrastructure and release responsibilities. You will work closely with senior technical leadership and help ensure that work is not only built, but reliably shipped and operated. Design and develop backend systems and services Take ownership of deploying and running the software you build Contribute to automation around deployments, environments, and tooling Improve reliability, monitoring, and operational workflows Support production issues and participate in release processes Collaborate closely with junior engineers and provide technical guidance Take responsibility for getting work “all the way to done”