Fixed Term Junior Designer Jobs

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. As a Premium Support Engineer at Replit, you’ll be the front line for our highest-value customers — delivering fast, expert, and reliable technical support when it matters most. You’ll handle complex product issues, guide customers through critical incidents, and ensure every interaction meets the highest standard of quality and speed. Replit is at the forefront of AI-driven software development, and how we support customers is constantly evolving. You’ll play a critical role in shaping how Premium Support adapts to new products, new customer expectations, and AI-assisted workflows, operating effectively in ambiguity and driving clarity for your team. You’ll combine deep technical troubleshooting with calm, confident communication to keep builders moving — whether it’s an enterprise team deploying at scale or a top-tier developer relying on Replit to power their business. In this role you will: Provide swift, high-priority support to Premium customers, responding within strict SLAs. Diagnose, reproduce, and resolve complex technical issues across the Replit platform. Escalate and track high-impact issues with Product and Engineering, ensuring timely fixes and transparent communication. Lead customer-facing communications during outages or incidents. Identify recurring issues and collaborate internally to reduce time-to-resolution. Contribute to internal tooling, automation, and documentation that improves team efficiency. Partner with Engineering, Product, Sales and other internal teams to ensure Premium customers receive a consistent, high-quality experience. Help onboard and mentor other support engineers, raising the team’s overall bar for responsiveness and quality. Required skills and experience: 3+ years in techn

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. As a Premium Support Engineer at Replit, you’ll be the front line for our highest-value customers — delivering fast, expert, and reliable technical support when it matters most. You’ll handle complex product issues, guide customers through critical incidents, and ensure every interaction meets the highest standard of quality and speed. Replit is at the forefront of AI-driven software development, and how we support customers is constantly evolving. You’ll play a critical role in shaping how Premium Support adapts to new products, new customer expectations, and AI-assisted workflows, operating effectively in ambiguity and driving clarity for your team. You’ll combine deep technical troubleshooting with calm, confident communication to keep builders moving — whether it’s an enterprise team deploying at scale or a top-tier developer relying on Replit to power their business. In this role you will: Provide swift, high-priority support to Premium customers, responding within strict SLAs. Diagnose, reproduce, and resolve complex technical issues across the Replit platform. Escalate and track high-impact issues with Product and Engineering, ensuring timely fixes and transparent communication. Lead customer-facing communications during outages or incidents. Identify recurring issues and collaborate internally to reduce time-to-resolution. Contribute to internal tooling, automation, and documentation that improves team efficiency. Partner with Engineering, Product, Sales and other internal teams to ensure Premium customers receive a consistent, high-quality experience. Help onboard and mentor other support engineers, raising the team’s overall bar for responsiveness and quality. Required skills and experience: 3+ years in techn

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. About The role As a Vulnerability Management Engineer, you will support the identification, assessment, prioritization, and remediation of vulnerabilities across applications and infrastructure. Working under the guidance of senior team members, you will assist in understanding how vulnerable dependencies enter an application, identifying remediation options, and engaging with engineering teams to track fixes. You will contribute to the maintenance of internal vulnerability-management tools, such as scripts, documentation, and reporting. The ideal candidate will have a desire to grow their AppSec expertise, will be eager to learn about modern security tooling and automation, and will be comfortable using AI tools like Claude to assist with documentation, investigation, and scripting tasks while following company security and data-handling requirements. What you’ll do Perform regular vulnerability assessments using different tools. Regularly drive remediation and reporting of cataloged vulnerabilities. Assess discovered vulnerabilities and properly prioritize their scope, impact and necessary response actions. Conduct security reviews of our products and production infrastructure. Contribute to vulnerability management, application security and/or offensive/red-team operations. Engage in security audit

About the Team The Ona team at OpenAI is helping build the software factory for the enterprise. We build infrastructure that enables AI agents to work in secure, customer-controlled cloud environments, with the context, tools, and controls they need to make progress across the software lifecycle—beyond a single developer’s laptop or active session. Our focus is helping enterprises move from experimenting with agents to using them reliably in production. That means solving challenging problems in cloud environments, orchestration, security, and collaboration, while making the experience straightforward for the people directing and reviewing the work. We’re a team that values initiative, close relationships with customers, and exceptional engineering craft. We take ownership, learn quickly, and communicate directly and kindly. About the Role We’re hiring backend-focused Product Engineers across our platform and security product teams. You’ll build infrastructure and customer-facing workflows that let developers and AI agents work reliably in parallel. You’ll work primarily in Go on APIs, complex networking, development environments, and orchestration for long-running tasks. You’ll own outcomes from understanding a user’s problem and choosing an approach through shipping, operating, and improving the solution, working closely with frontend, infrastructure, and security engineers. In this role, you will: Work directly with customers to build developer and security workflows, from getting a project running to investigating findings, reviewing agent-generated changes, and verifying fixes. Build Go services and APIs for provisioning cloud environments, running agents in customer infrastructure, and integrating with source control, CI, and other developer tools. Design reliable orchestration for long-running, parallel work, including durable state, retries, cancellation, and recovery. Build security into execution workflows through clear permissions, credential handling, is

Senior Security Engineer, Vulnerability Management Here at Datadog, we think about vulnerability management a little differently. We embrace open source software, recognize our role in the software supply chain, and see attackers weaponizing vulnerabilities faster than ever. We are looking for a Senior Security Engineer who can combine vulnerability-management judgment with hands-on engineering to help us scale and improve our vulnerability lifecycle across Datadog’s multi-cloud products and services. In this role, you will turn ambiguous security problems into clear solutions, and work with engineering teams to address root causes and develop technical controls that reduce vulnerabilities earlier in the SDLC. You’ll use AI and automation to help scale the overall vulnerability lifecycle across Datadog. You will use data and sound technical judgment to prioritize risk, and partner with security, product, platform, and compliance teams to bring scalable solutions into practice. At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do Work across the vulnerability lifecycle from detection and impact assessment through risk-based prioritization, remediation, and verification. Use AI and automation to build tools, services, and workflows that make security ideas concrete, validate them quickly, and create alignment for scalable implementation. Reduce engineering toil through a “PRs, not tickets” approach, using automation to enrich findings, identify ownership, recommend or deliver fixes, and track outcomes. Analyze recurring vulnerabilities and remediation failures to identify root causes and opportunities to prevent issues earlier in the SDLC. Partner with SDLC Security, Product Security, platform teams, and engineering teams to balance technical constraints, busin

Our mission and customers: We are creating the freedom for SMEs to succeed by delivering Europe's leading finance workspace with banking at its core, augmented by financial tools. We are proud to be rated 4.8 on Trustpilot, based on 55,000+ reviews. Our culture puts customer satisfaction at the core of what we do, as proven by our Net Promoter Score of 75 (more about our culture here). Our journey: Founded in 2017 by Alexandre and Steve, Qonto has grown to 1,600+ Qontoers serving over 600,000+ customers across 8 European countries. We have been profitable since 2023, and we are just getting started. Our beliefs: We hire for skills and potential. With 80+ nationalities, 45% women, of which 56% of women in our leadership team, diversity isn't a program; It's who we are. We've built a discrimination-free hiring process because the best teams are built on merit. AI at Qonto: AI is deeply embedded in how we work (here) - Every Qontoer gets unlimited access to the best AI tools. We want people who experiment without waiting for permission, push AI beyond the obvious, know when to trust it, and when to question it. ------------------------------------------------------------------------------------------------------ Join us as a Website Product Manager to own conversion strategy on qonto.com, the primary acquisition engine for 600,000+ businesses across 8 European markets. You will report to Bamby Combaluzier, our Head of Website. This is a hands-on product role inside a dedicated feature squad — you'll work daily with Growth Engineers and Designers, not just coordinate from a distance. ➡️ What you'll do Own a section of qonto.com end-to-end: You'll be responsible for a defined part of the website — from identifying conversion problems to shipping the fixes. That means defining the strategy, running the sprints, and tracking the impact. Run a continuous experimentation cycle: Set up and analyse A/B tests using tools like AB Tasty or VWO, draw conclusions from GA4 and Con

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As an Offensive Security Engineer on the Application Security team within Security, you'll pioneer how Coinbase uses frontier AI models to scale vulnerability discovery, red team AI systems, and automate security workflows. This role bridges traditional penetration testing with next-generation AI-augmented offensive security, directly accelerating our ability to protect products and customers. You'll own the development of AI-driven security tooling and collaborate across Vulnerability Management, Offensive Security, and Incident Response to fundamentally shift how we operate. What you'll do: Build, deploy, and maintain custom security scanners that leverage frontier models to detect vulnerabilities at scale across Coinbase's product surface. Lead red teaming efforts against internal AI systems, including jailbreak testing, prompt injection analysis, and tool abuse simulation. Develop AI-driven automation for vulnerability triage, validation, and remediation workflows to accelerate the bug bounty and vulnerability response pipelines. Partner with engineering teams to prioritize, remediate, and verify fixes for critical vulnerabilities discovered through AI-augmented and manual testing. Mentor junior security engineers on integrating AI into offensive security workflows to scale team capabilities. Required Skills and Experience: 3+ years of experience in application s

About the Team Critical Harm Operations sits within User Safety & Risk Operations and builds enforcement systems for Frontier Risk and Material Harm that are accurate, fast, defensible, and built to scale. The Cyber vertical turns policy into reviewer standards, calibrated judgment, quality systems, escalation paths, and automation guardrails. About the Role We are looking for a senior cybersecurity practitioner and operations strategist to raise the quality, scalability, and technical rigor of our Cyber Operations. You will combine hands-on cyber judgment with systems-level operating design: resolve the hardest dual-use questions, evolve SOPs, uplift reviewers and vendors, and build practical tools and automations. This is a senior IC role. Success is not primarily cases closed; it is durable improvement in the operating model and the reviewers who run it. This Toronto-based role is currently remote and is expected to transition to an in-office arrangement. In this role, you will: Drive the Cyber Operations operating model across domain priorities, SOPs, escalation paths, quality health, vendor capability, roadmap inputs and help inform trusted access strategies. Serve as the senior cyber expert for complex or high-risk decisions across ChatGPT, API, Codex, agents, and emerging product surfaces. Translate policy ambiguity, quality misses, appeals, and reviewer disagreement into clear decision rules, calibration examples, training, and tooling requirements. Build durable operating systems and quality loops: golden sets, holdouts, double-labeling, adjudication, error taxonomies, reviewer calibration, and automation evaluations. Raise FTE and BPO capability through onboarding, certification, coaching, recurring calibration, and vendor-performance partnership. Use quality, appeals, SLA, backlog, and disagreement signals to diagnose root causes and prioritize high-leverage fixes. Build hands-on solutions—SQL analyses, scripts, dashboards, LLM eval workflows, evidenc

At NVIDIA, we are at the forefront of technological innovation, pushing the boundaries of AI and accelerated computing. Our team in Santa Clara, CA is looking for a Senior Software Engineer in Test to join us in this exciting journey. This is a ground breaking opportunity to work with powerful technology, collaborate with a world-class team, and make a significant impact in the industry. If you are passionate about AI and quality assurance, and thrive in a dynamic environment, this role is perfect for you! What you'll be doing: Accomplishing test cases to validate NVIDIA enterprise offerings, such as NIM, NeMo, and BioNeMo. Crafting, implementing, and maintaining automated test cases and supporting automation infrastructure. Collaborating with development teams to triage issues, perform root cause analysis, verify fixes, define additional tests, and improve test plans. Investigating and bringing to bear AI capabilities to accelerate the Quality Assurance (QA) process. What we need to see: MS or PhD degree in computer science or relevant field, or equivalent experience. At least 5&#43; years of professional experience in software testing. Proficiency in oral and written English. Comfort working with Linux OS. Strong skills in shell and Python programming. Strong knowledge of QA principles and background in software testing. Experience using AI development tools for crafting test plans, developing test cases, and automating test cases. Excellent problem-solving abilities. Strong interpersonal skills, quick learning ability, proactive approach, innovation, and dedication. Self-motivation and a passion for learning new hardcore technology. Knowledge in LLM and AI models is a plus. <

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, we are tapping into the unlimited potential of AI to define the next era of computing. As an NVIDIAN, you will address challenges spanning architecture, silicon, firmware, software, and production — and excellent judgment matters as much as technical depth! We are the Silicon Power Team within the Silicon Co-Design Group. We architect and deliver groundbreaking solutions for productizing NVIDIA's chips across consumer, professional, server, embedded, mobile, and automotive markets. Silicon characterization, correlation to arch and design expectations, product spec finalization, and productization techniques and infrastructure are our day-to-day work — always on the bleeding edge of the industry. Small decisions here have outsized impact on performance, efficiency, reliability, bring-up speed, and ultimately what the product delivers in the field. We are hiring a Senior Silicon Power Engineer to own power-feature productization on a flagship silicon program. This is not a coordination role, and it is not a compliance role — it is the seat where power features either work at scale or become the reason a program slips. The two highest-leverage problems in this seat: Close the hardest multi-functional power failures before they gate a program. Take ambiguous, cross-boundary issues across architecture, firmware, validation, and platform to root-cause closure — with productized fixes and reusable methodology the next program can inherit. Build AI-enabled characterization as a real capability, not a demo. Every bring-up generates terabytes of characterization, shmoo, and telemetry data. Deploy AI workflows for data analysis, metric extraction, trend detection, and cross-bring-up correlation — with the guardrails and validation discipline to make them trustworthy enough to gate production decisions! <

Job Details: Job Description: Intel is looking for highly motivated individuals with strong technical background and capabilities to sustain, ramp, and transfer all technology nodes in Arizona. They will drive rapid continuous improvements in safety, quality, yield, reliability, cost, process stability/capability, and productivity while maintaining rigorous quality control. The role of a Process Integration and Yield Engineer is to deliver high-quality analytical insights that influences / directs the factory resources to minimize defects, control process parameters, and improve overall factory yields. All improvements and sustaining work is done in close collaboration and partnership with the process to improve the capability of the tools and processes. Responsibilities may include, but are not limited to: Performing detailed data analysis using various statistical/data mining tools to identify the root cause of defect and yield issues. Identifying exclusionary or baseline sources of defects or yield impacts and recommending/leading corrective actions/fixes. Lead/participate continuous improvement projects on products and processes for improved performance. Provide expertise on process flow segments. Lead/participate in multi-area problem solving teams to provide expertise to troubleshoot complex yield problems. The ideal candidate should exhibit the following behavioral traits: Solid analytical skills and a passion for data analysis and problem solving. Organizational skills with attention to detail. Excellent interpersonal skills with the ability to work with people at all levels. Communication and presentation skills to influence a wide variety of groups at all levels. Demonstrate excellent teamwork and leadership skills, demonstrated pro

We are now looking for a Deep Learning Software Test Development Engineer Intern! The position is in NVIDIA Deep Learning Software Quality Assurance team that defines, develops and performs tests to validate robustness and measure the performance of NVIDIA‘s Deep Learning software and GPU Infrastructure for autonomous driving, healthcare, speech recognition, natural language processing, and a wide variety of other AI scenarios. This team collaborates with multiple AI product teams to develop new products; derive and improve complex test plans; and improve our workflow processes for a diverse range of GPU computing platforms. You should grow with being in the critical path supporting developers working for billion-dollar business lines as well as intimately understanding the values of responsiveness, thoroughness and teamwork. You should constantly foster and implement efficiency improvements across your domain. Join the team which is building software which will be used by the entire world! What you’ll be doing: Be responsible for functionality, compatibility, and performance tests in NVIDIA AI SW stack release. Develop, maintain, and improve test automation infrastructure with using AI tools. Use AI to improve quality and productivity across QA End-to-End workflow. Work with development teams to triage issues, root cause analysis, verify fixes, define new tests, improve test plans. What we need to see: Pursuing MS or higher degree in CS/EE/CE or a related field. Proven success in leveraging AI tools to significantly improve efficiency, streamline workflows or enhance process automation. Good python, C&#43;&#43; programming skillset, Linux knowledge is required. Experience in software development with popular AI model

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. What you’ll be doing: Use and develop AI-powered tools to make software testing smarter, faster, and more effective! Improve test case generation, defect detection, flaky test analysis, regression testing, and test coverage optimization. Work with product, engineering, and cross-functional teams to review requirements and define test strategies. Build test plans, design and execute test cases, and report quality status, risks, bugs, and results. Perform functional, performance, fault-injection, reliability, and regression testing for cloud-native systems. Automate test cases and contribute to scalable test frameworks. Manage the bug lifecycle, reproduce customer issues, and verify fixes. What we need to see: MS or PhD in Computer Science, Engineering, or a related field. 5&#43; years of QA, test automation, or software testing experience. Hands-on experience using AI tools to improve QA workflows. Strong QA fundamentals, test strategy, test planning, and failure analysis skills. Proficiency with Unix/Linux and shell or Python programming. Exp

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. You will build the operating system for EPD — the systems, agents, and practices that make engineering, product, and design unreasonably effective at delivery, with Jira as the substrate. The EPD Systems team is building the infrastructure Vanta's engineering, product, and design organization depends on to understand itself and operate well. We're constructing three interlocking layers: sources of truth at the foundation, a shared interpretive layer that reasons across all of them, and the operating system that makes the work itself legible. This role owns the operating system. This is not a traditional PMO or status-reporting role. You build — agents, automation, workflow design, and the practices that make teams want to use the system rather than route around it. What you’ll do as a Senior Systems Designer at Vanta: Design and own workflow and hierarchy across engineering, product, and design in Jira Make sure Jira reflects real practice, and real practice reflects what needs to show up in Jira — in both directions Build the agents and automation that run the system yourself, with AI as part of how you work Drive adoption: go to the teams whose practice doesn't match the substrate today and change that — through conversation, well-built artifacts, or clear instruction that works without you in the room Understand delivery breakdowns at the mechanism level and build fixes that address the root cause, not the symptom Build alongside teammates who are growing into more technical work — raise their ceiling, not just your own output How to be successful in this role: You build and ship, recently, with AI as part of how you work. "

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. We're looking for a highly skilled People Systems Administrator to drive the design, configuration, and optimization of Workday across Vanta, with deep functional ownership of the Payroll, Benefits, and/or Absence module(s). Reporting to the Sr. Manager, People Systems, you'll act as a trusted consultant and system expert, partnering with functional leaders across People, Payroll, Finance, IT, and Legal to identify opportunities, implement advanced solutions, and improve the employee experience. You'll shape the future of our Workday ecosystem by leading complex configurations, driving process improvement, and making sure the system evolves ahead of the business rather than behind it. What you’ll do as a People Systems Administrator, Workday at Vanta: Own the design and configuration of the Workday platform Lead the design and implementation of configurations across Workday modules (Core HCM, Payroll, Benefits, Absence, Time Tracking) including business processes and security groups along with condition rules and calculated fields. Serve as the primary technical expert for Workday enhancements, partnering with cross-functional teams to gather requirements and translate ambiguous business problems into scalable system solutions. Build the administration frameworks and standards the team runs on: security role design, tenant and environment management, change control, testing protocols, and documentation. Design reusable, scalable solutions rather than one-off fixes, so the same problem doesn't return in a different shape Own change management for system changes. Plan and deliver stakeholder communications, training, and enableme