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Location: United States JOB DESCRIPTION Job Title Senior Associate, Product Information/Claims Support (MA) Department Medical Affairs/Medical Affairs Responsibilities Primary Responsibilities: ·       Identify, plan and implement key projects to improve quality, reduce cost, increase productivity and improve cycle time resulting in significant business improvement and customer satisfaction. ·       Responsible for targeting completion of process improvement projects within a specified time frame while achieving a cost reduction goal. ·       Develop and co-ordinate the performance excellence / performance improvement vision and deployment planning as defined by the Executive Team. ·       Achieve buy-in from all decision makers for the successful application of performance excellence / performance improvement. Create team processes for optimizing results. ·       Actively lead projects and provide individual contributions after key projects have been identified. ·       Liaison with finance and other members of the organization in assessing, tracking and reporting the financial benefit of a Performance Excellence project. ·       Provide management with project status updates, feedback, and appropriate reporting on key responsibilities and objectives. ·       Development and Maintenance of Client Core Data Sheet CCDS, Core Safety Information (CSI) and high-quality scientific proof. ·       Perform compliancee checks, and Compilation and formatting of Dossiers ·       Review of source documents, GAP Analysis and providing regulatory contribution Prepare and Review SOP’s for writing Global Labelling documents ·       Provide therapeutic area (e.g. Pain, Digestive Health, Smoking Cessation or UR/Allergy) knowledge support and clarification of science as needed and contributes to research activities via scientific publications. ·       Conduct and evaluate literature searches and analyze scientific literature. ·       Create standard language for product information reference manuals including FAQs for new product launches, media issues, and publications. ·       Provide medical support in reviewing the printed packaging components, labeling, and compendia. ·       Collaborate with physicians as the medical representative on cross functional teams (copy clearance committees) to both marketed products and support to new marketed concepts for promotional and non-promotional pieces to ensure medical/scientific accuracy. ·       Participate in creation of medical training materials and programs that are used to support initial and ongoing training for new employees. ·       Train employees who require in-depth scientific/medical knowledge of relevant products/therapeutic areas and in support of local and regional speakers upon solicited request. ·       Create and develops strategically targeted information in response to published scientific literature, news media releases, marketing initiatives, product recalls, or new or highly publicized medical discoveries or information. ·       Contribute to research activities via scientific publications ·       Attend key medical/pharmacy professional meetings to gain knowledge related to therapeutic areas in relevant markets ·       Research educational and technical materials in support of local and regional speakers upon solicited request ·       Assist in generating basic periodic or aggregate safety reports, regulatory submissions, PSURs, annual reports, CCDS. ·       Support Investigator initiated studies including correspondence with investigators, researching the investigator site and facilitating review and approval of IIS proposals Secondary Responsibilities: ·       Effectively organize work to complete the assigned tasks to meet deadlines ·       Ensure the assigned tasks are delivered 100% on time or before ·       Demonstrate Quality of Work & Commitment through excellence in work, ensure correctness and completeness in deliverables with minimum OR no re-work ·       Support in review of work done by peer teammates, on need basis. ·       Alerts and escalates to senior members as required, whenever project deliverable risks are visualized, OR issues encountered impacting the delivery schedule ·       Ensure error free and acceptable quality in assigned deliverables ·       Responsible to ensure training compliancee and timesheet compliancee ·       Ensure that all assigned goals [e.g. utilization, quality and timeliness] are met as per set standards for the performance year ·       Follow and comply with the Company’s Code of Conduct, Policies, and Procedures, ·       Responsible for confidentiality, integrity, availability, and safeguarding of data, ·       Responsible for reporting of security incidents and PIMS breaches as applicable, ·       Comply with company QMS, ISMS and PIMS requirements and applicable regulatory requirements, ·       Demonstrate adherence and compliancee to PIMS/GDPR requirements as follows: processed fairly, transparently, and lawfully; collected for specified and legitimate purposes; adequate, relevant, and limited to the specified purposes; processed in a secure manner Skills and Qualifications ·       Bachelor’s degree in science or above and in alignment with project / business team requirements ·       Minimum of 3 to 5 years of relevant experience in identified functional domain/ business workstream ·       Minimum 4‐ 5 years in a pharmaceutical or consumer health care organization chemical raw material manufacturer or another FDA‐ regulated environment such as a medical device manufacturer. ·       Background in labeling / artwork management, in the personal products Must be detail-oriented to pick up inconsistencies or errors in material

Location: Remote - European Region Workplace: hybrid Coinspaid Solutions is a fintech company building blockchain payment infrastructure for the global economy. We design, implement, and scale payment systems that connect digital assets with real-world financial operations. Our solutions help businesses and financial institutions operate efficiently in the evolving digital asset landscape. For over 11 years, we’ve been developing products that bring crypto payments closer to mainstream adoption. Today, our team includes 350+ professionals working remotely across multiple countries. We combine the pace of fintech with a long-term approach to building products, teams, and careers. As a remote-first company, we give people flexibility in how they work while maintaining strong collaboration and shared ownership across teams. 🏆 In 2026, Coinspaid was recognized as Best Corporate Culture in the Blockchain Industry in Europe, reflecting our focus on ownership, trust, and collaboration. Responsibilities: Gathering, validating and documenting business and system requirements Modelling business processes, including crypto transaction flows and identifying opportunities for process improvements Identifying issues, risks and benefits of existing and proposed solutions, outlining business and technical impacts Designing and documenting integrations with external systems (blockchain networks, liquidity providers, payment systems) Creating functional and system specifications (PRD, SRS, API specifications, diagrams) Simplifying complex technical and blockchain-related concepts for cross-functional teams Defining business problems through in-depth investigation and gathering of technical and non-technical information Outlining detailed requirements and ensuring delivered solutions meet business needs Participating in integration testing, UAT, and validation of financial and transaction flows Improving and maintaining product and project documentation standards Participating in development of methods and techniques for requirements management and business case preparation Collaborating with engineering, product, and business teams on solution design Understanding of blockchain fundamentals (transactions, confirmations, fees, wallets) Knowledge of major blockchain networks (Bitcoin, Ethereum, EVM-based chains) Experience working with APIs (REST, WebSocket), webhooks and event-driven systems Understanding of end-to-end transaction lifecycle (deposit, processing, settlement, withdrawal) Experience with SQL and data analysis Ability to analyze logs, API responses and transaction data Familiarity with tools such as Postman, Swagger Requirements: 5+ years of experience as a Business/System Analyst Strong analytical, mathematical and problem-solving skills Strong communication and stakeholder management skills Ability to explain complex ideas in a simple and user-friendly way Effective logical thinking and structured approach High level of prioritization, focus, and self-motivation Good understanding of SDLC, PDLC, Agile methodologies Experience with business analysis tools and process modelling (BPMN, UML, etc.) English level: B2 (spoken and written) Why should you choose Coinspaid? You’ll be joining a company that is actively shaping its space – with enough scale to matter and enough room to make an impact. At Coinspaid, people are expected to think, contribute, and take ownership – and are supported in doing so. We focus on flexibility, wellbeing, and long-term growth – without overcomplicating how benefits work. Flexible Benefits Benefit Bar – up to €230/monthA flexible monthly budget you can use for what matters most to you – from sports and mental health to coworking, home office, or medical-related expenses. Work & Flexibility Fully remote work from almost anywhere Optional offices and relocation support Flexible, async-friendly environment Growth & Learning Budget for courses, certifications, and professional development Language learning support Cross-team learning and knowledge sharing Wellbeing & Support Medical insurance or reimbursement depending on location Access to mental health support Financial support for important life events Extras Merch shop with rewards system Team offsites and company events   Sounds good? Well then, we can’t wait to see your resume! To learn more please visit: https://coinspaid.com/about-us/ & https://coinspaid.com/careers/

Location: California Workplace: onsite Overview We’re hiring data collection operators to support physical AI programs. In this role, you’ll operate physical AI data collection systems (via teleoperation tools or guided interfaces) to generate high-quality real-world data used to train and evaluate AI models. This is hands-on, execution-focused work. You’ll be supporting a robotics data collection pilot using I2RT YAM bimanual robotic arms. Each station is staffed by two people, and you’ll carry out assigned teleoperation and human-robot interaction tasks to help capture reliable, consistent data.  Project Details Location: Palo Alto, CA — 100% onsite Type: Full-time, short-term W-2 employee Schedule: Full-time; 8 hours/day, 5 days/week. Must be able to stand for extended periods during shifts  Duration: Minimum 2-week engagement; potential extension through year-end and beyond (extension not guaranteed)  Start: ASAP Compensation: US$35/hour Work authorization: Must be authorized to work onsite in the U.S. Key responsibilities Operate physical AI data devices, including teleoperating bimanual robotic arms (I2RT YAM) to execute scripted tasks precisely, following SOPs. Perform human robot interaction tasks per script, including gestures and object handovers. Follow detailed instructions and documented SOPs, adapt to evolving guidelines, and complete hands-on training, applying it consistently. Coordinate closely with your station partner to maintain timing, consistency, and safety. Capture and validate data. Record trial status, notes, and anomalies as directed; promptly flag issues and assist with resets/retries. Adhere to onsite safety, privacy, and data handling protocols; provide constructive feedback to improve procedures. Support fast iteration cycles as tasks, tools, and priorities evolve. Qualifications Bachelor’s degree or equivalent work experience Experience with gaming, simulation tools, or technical systems is a plus Strong hand-eye coordination and spatial awareness Detail oriented, reliable, and consistent in repetitive, process-driven work. Clear communication and teamwork; receptive to coaching and feedback. Prior teleoperation/robotics or lab data collection experience preferred; training provided. Basic computer skills for simple logging and spreadsheets. Preferred Qualifications Exposure to robotics, autonomous systems, drones, or simulation environments Experience with teleoperation, remote control systems, or QA/testing workflows Familiarity with data collection, logging, or annotation processes Ability to quickly learn new software applications Interest in AI, robotics, or emerging technologies Experience working in structured, metrics-driven environments Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

Location: California Workplace: onsite Overview We’re hiring an onsite lead to run day-to-day execution for our robotics data collection pilot, built around I2RT YAM bimanual robotic arms. You’ll guide a team of data collection operators, keep operations safe and consistent, and act as the main onsite point of contact for client stakeholders. Please note that this role does not own staffing schedules or inventory management.   Project Details Location: Palo Alto, CA — 100% onsite Type: Contract Schedule: Full-time; 8 hours/day, 5 days/week Duration: Minimum 2-week pilot; potential extension through year-end and beyond Start: ASAP Compensation: $50/hour Work authorization: Must be authorized to work onsite in the U.S. Key responsibilities Oversee daily execution and station readiness; enforce SOPs, quality, and safety protocols. Coach operators on teleoperation and HRI execution; provide on-the-spot refreshers and corrective guidance. Monitor live sessions and data quality; perform first-level troubleshooting and escalate issues appropriately. Maintain concise daily notes and issue trackers; communicate blockers, risks, and needs to client teams. Contribute to SOP and checklist refinements based on observations. Utilize client-provided equipment, SOPs, examples, and hands-on training to align the team on best practices. Qualifications Hands-on experience leading robotic teleoperation and/or HRI data collection. Strong communication, coaching, and problem-solving skills in lab/field environments. Comfortable driving consistency, safety, and quality in repetitive workflows. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

Location: Kuala Lumpur, Malaysia About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. 本职位需在马来西亚吉隆坡（KL）办公室现场办公，欢迎愿意搬迁至吉隆坡的候选人投递 Responsibilities 1. System Reliability Ensure the stability, availability, and performance of the company's core business infrastructure across AWS and Tencent Cloud globally; accountable for production environment SLAs. Maintain stable operation and troubleshooting of the service mesh based on Kubernetes + Envoy/Istio architecture; drive gateway-layer governance standards. Define and implement SLO/SLI/Error Budget frameworks to continuously improve service reliability. Identify system bottlenecks and single points of failure; drive architectural improvements. 2. Automation & Engineering Efficiency Develop operations automation tools: capacity assessment, auto-scaling, self-healing, and change automation. Build SRE platforms: lead or contribute to building SRE platforms (capacity management, cost analysis, service health dashboards) and iterate continuously with the team. API integration: interface with monitoring systems, cloud platforms, and Kubernetes APIs to enable automated data workflows. Chaos Engineering: design and implement chaos engineering practices to proactively validate system fault tolerance. IaC & CI/CD: advance Infrastructure as Code (Terraform / Helm / GitOps) and CI/CD pipeline optimization to improve release safety and reduce manual operations. 3. Capacity Planning & Performance Optimization Establish and continuously iterate capacity assessment frameworks; develop scaling plans aligned with business growth projections. Identify performance bottlenecks; drive architectural optimization and cost efficiency (redundancy optimization, cost reduction). Participate in capacity estimation and scaling plans for major promotions and high-traffic events. Build cost-efficiency metrics; track and optimize per-unit business cost Requirements Development Skills Proficient in at least one programming language: Python / Go / Java / Node.js (Python or Go preferred). Able to independently deliver end-to-end features: from requirements analysis → design → coding → testing → deployment. Backend development experience: familiar with RESTful API design and databases (SQL/NoSQL). Strong scripting skills: able to quickly write Shell/Python scripts to solve day-to-day operations issues. SRE Fundamentals 3+ years of SRE/DevOps experience with large-scale distributed systems. Linux expertise: solid understanding of Linux internals, performance tuning, and troubleshooting. Container technologies: proficient in Docker and Kubernetes with production-level K8s management experience. Monitoring & alerting: experienced with Prometheus / Grafana / ELK; able to design monitoring metrics and alerting strategies. CI/CD: familiar with GitLab CI / Jenkins / ArgoCD with hands-on automated deployment experience. Soft Skills Data-driven mindset: make decisions backed by metrics and data. Problem-solving: quickly identify root causes and drive cross-team collaboration to resolve issues. Influence: able to evangelize SRE culture to development teams and drive reliability engineering practices (SLO, Postmortem, change management) across business teams. Ownership: take full accountability for the reliability of owned services; proactively identify and optimize issues. Fast learner: able to quickly ramp up on new technologies and tools. Nice to Have Experience building internal operations platforms from scratch, with full-stack development skills to independently deliver a complete platform. Familiarity with cloud-native technologies (Istio, Service Mesh, Operator pattern) and service governance (rate limiting, degradation, circuit breaking). Hands-on Chaos Engineering experience. Practical experience in capacity planning and cost optimization (FinOps). Operations experience in finance, trading systems, or high-concurrency scenarios, including capacity assurance for major promotions or high-traffic events. Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Location: Remote: India About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. Minimum qualifications: Bachelor's degree or equivalent practical experience. 7 years of experience in a pre-sales engineering, professional services, or customer-facing technical architecture role. Experience in programming languages (e.g., Java, Python, JavaScript), containerization (Docker, Kubernetes), and cloud infrastructure technologies. Experience engaging with, presenting to, and influencing both technical stakeholders and executive leaders (C-level) during complex sales cycles. Experience driving technical discovery and value-based selling to map enterprise business goals to technical architectures. Location: Candidates based in Mumbai or Bangalore will be prioritised. Preferred qualifications: Master’s degree in Computer Science, Engineering, Mathematics, or a related technical field. Deep expertise in graph database technologies (e.g., Neo4j) along with knowledge of relational, NoSQL, and data visualization tools (e.g., D3.js, Linkurious). Proven experience building joint GTM solutions and co-selling with hyperscalers (AWS, Azure, GCP), strategic ISVs, and global systems integrators. Industry expertise within highly regulated sectors such as Banking & Financial Services, Telco, and Government. About the job As a Solutions Engineer, you will be a key driver of Neo4j’s growth by shaping technical solutions that address complex enterprise challenges. You will serve as the technical authority during the pre-sales lifecycle, moving beyond standard product demonstrations to architect robust, value-driven graph database solutions. You will engage deeply with BFSI & Enterprise customers and strategic partners—including hyperscalers like AWS, Azure, and Google Cloud—to design interconnected data ecosystems that prove the tangible ROI of the Neo4j portfolio. In this role, you will blend consultative technical prowess, sales acumen, and ecosystem collaboration to accelerate adoption and secure the technical win. Neo4j is the world leader in graph technology, helping organizations capture real-world context to drive choices for applications like artificial intelligence, fraud detection, and recommendation engines. We deliver enterprise-grade solutions that leverage connection-first data architectures to solve the world's most critical business problems. Turn your technical expertise into impact by helping India’s largest enterprises unlock the value of AI with connected data. Responsibilities Drive the technical win for complex enterprise accounts, leading technical discovery, product demonstrations, and competitive positioning from evaluation through opportunity conversion. Design, build, and deliver proof-of-value (PoV) prototypes, tailored solution architectures, and technical workshops that clearly articulate Neo4j’s unique value proposition. Partner closely with hyperscalers (AWS, Azure, GCP), systems integrators, and ISVs to architect joint solutions, execute co-sell initiatives, and deliver technical enablement programs. Act as a cross-functional technical orchestrator, collaborating with internal sales teams on deal qualification and ensuring a seamless architectural handoff to Professional Services and implementation partners. Champion Neo4j’s technology by contributing to thought leadership, presenting at webinars and industry conferences, and supporting local developer community and marketing events. Travel to customer sites and partner events as required to run technical workshops and advance strategic engagements. Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years. Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific , BT Group , Caterpillar , Cisco , Comcast , Department for Education UK , eBay , NBC News , Novo Nordisk , Worldline , and others . Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. Countless industry awards . Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers. Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues. One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments) Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide. More information at www.neo4j.com . ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.

Location: Bengaluru Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Senior Software Engineer on the Core Infrastructure team at Harvey, you'll play a critical role in designing and building new infrastructure systems while equally scaling and strengthening our existing infrastructure. Our infrastructure is the foundation that powers every user interaction with Harvey — processing billions of prompt tokens and millions of daily requests across our global legal AI platform. You'll work in an environment balanced between innovation — building new systems — and operational excellence, ensuring that Harvey remains resilient and efficient as it scales products, regions, customers, and usage. Your contributions will directly impact the reliability, scalability, and security of our platform as we serve the world's leading law firms and professional service providers. This role is based in Bengaluru, India. WHAT YOU'LL DO - Design and build scalable, fault-tolerant infrastructure systems that power Harvey's AI platform across multiple cloud regions - Own and evolve our multi-cloud infrastructure (Azure, GCP), including Kubernetes orchestration, networking, and container management - Lead technical initiatives around observability, incident response, and operational excellence — building systems that enable rapid detection and resolution of issues - Architect and optimize our distributed systems for reliability, including load balancing, quota management, and failover mechanisms - Partner with Product Engineering and Security teams to ensure our infrastructure is an accelerant, not a constraint - Drive infrastructure-as-code practices using tools like Terraform and Pulumi to enable reproducible, auditable deployments - Mentor engineers and raise the technical bar across the organization through code reviews, design reviews, and technical leadership Representative Projects - Design and implement a next-generation model proxy architecture that routes millions of daily inference requests while maintaining model API compatibility and enabling seamless model integration - Build distributed rate limiting and quota management systems using Redis-backed algorithms to handle bursty traffic patterns without degrading user experience - Architect multi-region deployment strategies that meet strict data residency requirements for global enterprise customers - Develop comprehensive observability infrastructure with granular SLA monitoring, burn rate alerts, and detailed token attribution for cost tracking - Lead the evolution of our CI/CD pipelines to improve developer velocity while maintaining production stability WHAT YOU HAVE - 8+ years of experience in Core Backend Infrastructure Engineering or Backend Platform Engineering in a production environment - Long track record building and scaling complex, large-scale distributed systems - Deep proficiency with cloud infrastructure platforms (Azure preferred; GCP or AWS experience transfers well) - Strong fluency in Infrastructure as Code (IaC) tools — Terraform, Pulumi, or CloudFormation - Solid understanding of Kubernetes, container orchestration, networking, and cloud security at scale - Experience with observability tools (Datadog, Sentry) and incident response practices (PagerDuty, Incident.io http://Incident.io) - Strong programming skills in Python, Go, or similar languages - Excellent problem-solving skills, a "spidey sense" of where things could go wrong, and a commitment to operational excellence Nice to Have - Experience building infrastructure for AI/ML workloads or high-throughput inference systems - Background with distributed rate limiting, load balancing, or quota management systems - Experience operating multi-tenant platforms with strict security and compliance requirements - Track record of leading complex cross-functional projects and delivering measurable impact ADDITIONAL INFORMATION - Work eligibility: Must be authorized to work in India. Visa sponsorship is not available for this role. PLEASE FIND THE APPLICANT PRIVACY FOR THIS REGION HERE https://www.harvey.ai/legal/india-applicant-privacy-notice. #LI-AS2 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location: Singapore Why This Role Exists Cloudflare built its reputation helping build a better Internet, defending millions of sites, giving away SSL and DDoS mitigation when the industry charged premium prices. In an acceleratingly dangerous world, the scope of that mission has changed. We are becoming something more: critical infrastructure. Banks run their payment rails on us. Governments run public services on us. Media companies depend on us during live events. Health systems depend on us to provide care. Reliability for these customers is no longer a feature of our product. It is a mission. Serving that customer base demands a different operating model. Traditional support organizations route tickets. Traditional engineering organizations ship features. Neither alone is enough when the stakes are this high. We are pivoting to something different: a customer-facing engineering organization, directly engaged with our customers at scale. This is work a central dev team cannot do from the inside of the network. The Customer Reliability Engineering function is the spine of that pivot. CRE is SRE applied outward, the same engineering discipline, applied to the reliability of the systems our customers run on Cloudflare. You are the engineer who owns the problems that matter most to the customers who matter most, and you contribute directly to our products and tooling, in partnership with Product Engineering, to hold that standard across the entire customer base. The Role CRE is a rapid response team and a proactive engineering team. You fix things at the edge as they come up, and you help build the product capabilities that identify customer issues before they become a crisis. Both modes are equally core. Rapid response. When a customer issue surfaces that is high-severity, cross-layer and complex, you are the engineer who answers. You reproduce the defect, isolate the root cause across Cloudflare's infrastructure and the customer's stack, drive the fix with Product Engineering, and confirm resolution. You hold on-call for high-severity incidents as part of a global shift rotation. Proactive engineering. When no fire is burning, you work with Product Engineering and our platform teams to build the capabilities that make the next fire cheaper or unnecessary: telemetry pipelines that correlate signals across the customer base, detectors that fire before a human notices, diagnostic tooling that scales across hundreds of customers, automation that reduces toil for Customer Support. Every incident you carry generates engineering output that reduces the cost of recurrence. The work compounds. Cloudflare is building CRE as an AI-native function. You will work with and help build agents and tooling that pre-diagnose incidents, surface relevant logs and configuration, and propose fixes with cited evidence. Engineers who ship AI-assisted diagnostics are the ones defining this discipline. What You Might Work On Rapid response: Own a Sev-1 incident where a large financial services customer sees asymmetric latency from a single POP. Trace it through BGP routing and origin configuration. Produce the fix upstream. Diagnose a recurring WebSocket disconnect that a media customer has been fighting for weeks. Isolate it to a specific interaction between WAF and their origin load balancer. Drive the fix with Product Engineering. Partner with a government customer's SRE team during an active DDoS event. Help them shape their Magic Transit and WAF configuration in real time. Proactive engineering: Build, with Product Engineering, a distributed tracing capability that correlates Cloudflare edge signals with customer origin metrics so a single query tells the story of a failing request end-to-end. Ship a detector for a class of WAF false positives silently degrading several customers. Get it into production before the next renewal cycle. Prototype an AI agent that takes a new customer case, pulls relevant logs and config, and proposes a root cause with linked evidence. Deploy it internally. Measure whether it makes engineers faster. Iterate. Responsibilities Rapid incident response and root cause analysis. Own the most complex, high-severity customer issues end-to-end, from first signal through confirmed resolution. Lead deep-dive debugging across the full stack: edge, network, DNS, transport, APIs, application, customer-side configuration. Reproduce defects, validate fixes with Engineering, and confirm customer-side resolution. Produce postmortems other engineers rely on. Hold on-call for high-severity incidents as part of a global rotation that includes weekends. Proactive reliability engineering. Analyze support and telemetry signals across the customer base to find systemic risks before they become incidents. Contribute monitoring, detection, and diagnostic capability to the core product and the engineering systems that give Customer Support early visibility into customer-affecting issues. Define customer-facing reliability metrics (error rates, resolution times, repeat-contact rates) and drive measurable improvement. Write automation that reduces mean-time-to-detect and mean-time-to-resolve. Cross-functional partnership. Manage the technical escalation lifecycle with clear ownership and timely communication. Partner with Product Engineering to drive fixes, workarounds, and configuration changes that address underlying gaps. Represent the customer reliability perspective in engineering syncs, incident reviews, and post-mortem processes. Technical leadership and enablement. Raise the technical floor of Customer Support through pair-debugging, structured knowledge transfer, and shared tooling. Document diagnostic procedures and resolution patterns in runbooks, internal knowledge bases, and AI skills. Share insights from customer-facing incidents to improve product documentation and operational readiness. Product and platform depth. Maintain deep, current expertise across Cloudflare's product portfolio: edge networking, DNS, CDN, WAF, DDoS mitigation, Zero Trust, Workers, and our developer platform. Anticipate customer impact from new releases and architecture changes. Serve as a go-to subject-matter expert in one or more domains. Requirements Minimum 5 years of hands-on experience in site reliability engineering, escalation engineering, systems engineering, or a comparable deeply technical support / operations role, with at least 2 years in customer-facing environments. Strong foundation in networking and security: TCP/IP fundamentals: OSI model, IPv4/IPv6 addressing, subnetting, routing, switching. Core protocols: DNS, HTTP/S, TLS/SSL, SMTP, SNMP, NTP. Routing protocols: BGP, OSPF, including path selection and route propagation. Firewall concepts: stateful/stateless inspection, rule sets, NAT, ACLs. VPN and encryption: IPSec, SSL/TLS tunnels, GRE. Zero Trust architecture, network segmentation, modern security models. Proficiency with observability and diagnostic tooling: packet capture and analysis (Wireshark, tcpdump), log aggregation (Kibana, Elasticsearch), metrics dashboards (Grafana), distributed tracing. Strong scripting and automation skills (Bash, Python) with a track record of shipping tooling that improves reliability and reduces toil. Experience with incident management, postmortem culture, and SLO/SLI-based reliability practices. Excellent written and verbal communication. Able to convey complex technical information clearly to engineers, leadership, and customers. Comfort owning ambiguous, cross-layer problems. Composure under pressure during high-severity incidents. Desired Skills & Experience SRE, DevOps, or platform engineering experience with direct customer-facing accountability. Deep expertise at both L3/L4 (network infrastructure) and L7 (application protocols, DNS, HTTP, WebSocket). Expert-level proficiency with Linux command-line tools: curl, dig, git, traceroute, mtr, strace, ss. Data-at-scale analysis using SQL, PromQL, or equivalent. Familiarity with CI/CD pipelines, infrastructure-as-code (Terraform, Pulumi), and container orchestration (Kubernetes, Docker). Track record of building internal tooling or diagnostic utilities that measurably improved team efficiency. Demonstrated technical leadership: mentoring engineers, driving cross-team initiatives, influencing outcomes without direct authority. Experience applying AI/ML to production engineering or operational workflows. Comfort engaging directly with enterprise customer engineering teams, including on calls during incidents. Bonus Points Active Cloudflare user who understands the platform as a practitioner. Hands-on experience with Workers, Pages, R2, D1, or other developer platform services. Cloud networking and security experience across AWS, Azure, or GCP. Web programming (HTML, JavaScript) and regular expressions. Chaos engineering or formal reliability frameworks (e.g., Google SRE principles). Managing or configuring non-HTTP services: email, DNS authoritative/recursive, FTP, SSH. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: United States; Canada; Mexico; Costa Rica; Panama; Guatemala About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking a highly skilled Machine Learning Research & Engineering Specialist to contribute to an advanced AI training project focused on model development, training and inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring hands-on experience with Python, machine learning engineering, and coding agents integrated into development workflows. You will build, modify, debug, and validate machine learning implementations, create reproducible training and inference pipelines, and optimize systems for correctness, memory usage, and throughput. The ideal candidate combines strong quantitative foundations with practical coding skills and experience solving complex machine learning engineering problems. SENIORITY: Experienced / Research-Level Engineer EDUCATION: Master's degree or PhD in a relevant quantitative discipline LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide Key Responsibilities Develop, implement, and validate machine learning models, training pipelines, inference systems, and supporting infrastructure. Implement or modify model components, data pipelines, evaluation systems, and numerical methods using Python. Build reproducible programmatic workflows using Python, command-line tools, and relevant machine learning frameworks. Debug numerical, algorithmic, and system-level failures to identify root causes and implement reliable solutions. Optimize model training and inference for memory usage, computational efficiency, throughput, and performance. Design and execute tests to verify implementation correctness and compliance with objective performance requirements. Review and validate challenging machine learning engineering tasks, including existing code and proposed solutions. Use coding agents as part of the development workflow to accelerate implementation, debugging, testing, and code review while validating generated results. Document technical approaches, implementation decisions, test results, and performance findings clearly. Deliver high-quality, reproducible task submissions within project deadlines. Requirements Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline. Strong professional or research experience in machine learning and practical ML engineering. Strong Python programming skills, including the ability to implement, debug, test, and optimize non-trivial code. Hands-on experience using coding agents within a Python development workflow. Understanding of machine learning model development, training and inference workflows, and evaluation methods. Ability to build reproducible implementations and verify correctness through systematic testing. Strong quantitative reasoning and problem-solving skills, particularly when diagnosing numerical or computational issues. Ability to work independently, manage technical tasks, and meet defined quality and submission requirements. Strong written communication skills and the ability to explain technical findings. Availability to contribute approximately 15 hours per week and begin the first task within 24–48 hours after onboarding.

Location: Brazil; Argentina; Colombia; Chile; Peru; Uruguay About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking a highly skilled Machine Learning Research & Engineering Specialist to contribute to an advanced AI training project focused on model development, training and inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring hands-on experience with Python, machine learning engineering, and coding agents integrated into development workflows. You will build, modify, debug, and validate machine learning implementations, create reproducible training and inference pipelines, and optimize systems for correctness, memory usage, and throughput. The ideal candidate combines strong quantitative foundations with practical coding skills and experience solving complex machine learning engineering problems. SENIORITY: Experienced / Research-Level Engineer EDUCATION: Master's degree or PhD in a relevant quantitative discipline LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide Key Responsibilities Develop, implement, and validate machine learning models, training pipelines, inference systems, and supporting infrastructure. Implement or modify model components, data pipelines, evaluation systems, and numerical methods using Python. Build reproducible programmatic workflows using Python, command-line tools, and relevant machine learning frameworks. Debug numerical, algorithmic, and system-level failures to identify root causes and implement reliable solutions. Optimize model training and inference for memory usage, computational efficiency, throughput, and performance. Design and execute tests to verify implementation correctness and compliance with objective performance requirements. Review and validate challenging machine learning engineering tasks, including existing code and proposed solutions. Use coding agents as part of the development workflow to accelerate implementation, debugging, testing, and code review while validating generated results. Document technical approaches, implementation decisions, test results, and performance findings clearly. Deliver high-quality, reproducible task submissions within project deadlines. Requirements Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline. Strong professional or research experience in machine learning and practical ML engineering. Strong Python programming skills, including the ability to implement, debug, test, and optimize non-trivial code. Hands-on experience using coding agents within a Python development workflow. Understanding of machine learning model development, training and inference workflows, and evaluation methods. Ability to build reproducible implementations and verify correctness through systematic testing. Strong quantitative reasoning and problem-solving skills, particularly when diagnosing numerical or computational issues. Ability to work independently, manage technical tasks, and meet defined quality and submission requirements. Strong written communication skills and the ability to explain technical findings. Availability to contribute approximately 15 hours per week and begin the first task within 24–48 hours after onboarding.

Location: United Kingdom; Germany; Poland; South Africa; United Arab Emirates; Egypt About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking a highly skilled Machine Learning Research & Engineering Specialist to contribute to an advanced AI training project focused on model development, training and inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring hands-on experience with Python, machine learning engineering, and coding agents integrated into development workflows. You will build, modify, debug, and validate machine learning implementations, create reproducible training and inference pipelines, and optimize systems for correctness, memory usage, and throughput. The ideal candidate combines strong quantitative foundations with practical coding skills and experience solving complex machine learning engineering problems. SENIORITY: Experienced / Research-Level Engineer EDUCATION: Master's degree or PhD in a relevant quantitative discipline LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide Key Responsibilities Develop, implement, and validate machine learning models, training pipelines, inference systems, and supporting infrastructure. Implement or modify model components, data pipelines, evaluation systems, and numerical methods using Python. Build reproducible programmatic workflows using Python, command-line tools, and relevant machine learning frameworks. Debug numerical, algorithmic, and system-level failures to identify root causes and implement reliable solutions. Optimize model training and inference for memory usage, computational efficiency, throughput, and performance. Design and execute tests to verify implementation correctness and compliance with objective performance requirements. Review and validate challenging machine learning engineering tasks, including existing code and proposed solutions. Use coding agents as part of the development workflow to accelerate implementation, debugging, testing, and code review while validating generated results. Document technical approaches, implementation decisions, test results, and performance findings clearly. Deliver high-quality, reproducible task submissions within project deadlines. Requirements Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline. Strong professional or research experience in machine learning and practical ML engineering. Strong Python programming skills, including the ability to implement, debug, test, and optimize non-trivial code. Hands-on experience using coding agents within a Python development workflow. Understanding of machine learning model development, training and inference workflows, and evaluation methods. Ability to build reproducible implementations and verify correctness through systematic testing. Strong quantitative reasoning and problem-solving skills, particularly when diagnosing numerical or computational issues. Ability to work independently, manage technical tasks, and meet defined quality and submission requirements. Strong written communication skills and the ability to explain technical findings. Availability to contribute approximately 15 hours per week and begin the first task within 24–48 hours after onboarding.

Location: Riyadh, Saudi Arabia; Cairo, Egypt; Dubai, United Arab Emirates; New Delhi, India Job Summary We are seeking a highly skilled IBM Watson AIOps / IBM Netcool Operations Insight (NOI) Consultant/Developer with hands-on experience in designing, customizing, and implementing enterprise event management and AIOps solutions. The ideal candidate will be responsible for developing customized solutions based on customer requirements, implementing automation, and creating Netcool Impact policies to support advanced event correlation and scenario-based event processing. The successful candidate should possess strong technical expertise in IBM Watson AIOps, Netcool Operations Insight, Netcool Impact, OMNIbus, event integration, and automation, along with excellent problem-solving and customer engagement skills. Key Responsibilities Design, develop, and implement IBM Watson AIOps and IBM Netcool Operations Insight (NOI) solutions. Analyze customer requirements and translate them into scalable technical solutions. Customize IBM Watson AIOps and NOI components to meet customer-specific operational requirements. Develop and maintain Netcool Impact policies for: Event enrichment Event correlation Event suppression Event automation Scenario-based event processing Business logic implementation Create policy-driven workflows to reduce alert noise and improve operational efficiency. Integrate IBM NOI with monitoring tools and third-party systems using REST APIs, JDBC, SNMP, Webhooks, Kafka, or other supported interfaces. Configure and customize IBM Netcool OMNIbus ObjectServer and probes. Develop automation workflows using IBM Watson AIOps Event Manager. Perform event mapping, event normalization, and event enrichment. Implement topology-aware event correlation where applicable. Develop dashboards, reports, and operational views. Troubleshoot and resolve issues related to IBM Watson AIOps and NOI components. Optimize system performance and improve event processing efficiency. Prepare technical documentation, solution designs, implementation guides, and operational runbooks. Provide technical support during implementation, testing, and production rollout. Work closely with customers, architects, and support teams throughout the project lifecycle. Requirements Required Technical Skills IBM Technologies IBM Watson AIOps IBM Netcool Operations Insight (NOI) IBM Netcool Impact IBM Netcool OMNIbus IBM Event Manager IBM Agile Service Manager (ASM) IBM Cloud Pak for AIOps (preferred) Development Skills Netcool Impact Policy Development JavaScript (Impact Policies) SQL REST APIs XML / JSON Shell Scripting (Linux) Python (preferred) Integration Skills SNMP Web Services REST API Integration JDBC Kafka Webhooks Message Queues Infrastructure Knowledge Linux Administration Red Hat OpenShift Docker / Kubernetes Networking Fundamentals TCP/IP SSL Certificates Required Experience 5+ years of experience with IBM Netcool products. 3+ years of experience with IBM Watson AIOps or IBM Cloud Pak for AIOps. Proven experience developing Netcool Impact policies. Experience implementing event correlation and event automation solutions. Experience integrating enterprise monitoring platforms into IBM NOI. Strong troubleshooting and debugging skills. Experience working in production support environments. Experience with customer-facing solution implementation projects. Preferred Qualifications IBM Watson AIOps Certification. IBM Netcool Certification. Experience with OpenShift and Kubernetes. Experience integrating ServiceNow, Maximo, or enterprise ITSM platforms. Knowledge of DevOps, CI/CD, and automation tools. Familiarity with AI-driven event analytics and anomaly detection. Soft Skills Excellent analytical and problem-solving skills. Strong verbal and written communication. Ability to work independently and as part of a team. Customer-focused approach with strong stakeholder management skills. Ability to manage multiple priorities in a fast-paced environment. Education Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline. Equivalent industry experience will also be considered. Preferred Candidate Profile The ideal candidate should have deep expertise in IBM Watson AIOps and Netcool technologies, with a proven ability to develop customized solutions and Netcool Impact policies that automate event management, reduce operational noise, and address complex customer requirements. Experience in designing scenario-based event correlation and automation workflows within enterprise environments is highly desirable.

Location: Riyadh, Saudi Arabia; Dubai, United Arab Emirates; Cairo, Egypt; New Delhi, India Job Summary We are seeking an experienced IBM Cognos Analytics Developer to design, develop, and maintain enterprise reports, dashboards, and analytics solutions using IBM Cognos Analytics. The ideal candidate will have strong expertise in developing complex reports and interactive dashboards based on customer requirements, working with data models and cubes, and integrating Cognos content with IBM Maximo Application Suite (MAS) and 3D Dashboard solutions. The successful candidate will be responsible for delivering high-quality business intelligence solutions that enable data-driven decision-making through advanced reporting, analytics, and visualization. Key Responsibilities Gather and analyze business requirements from customers and translate them into reporting and analytics solutions. Design, develop, and maintain complex operational, analytical, and executive reports using IBM Cognos Analytics. Develop interactive dashboards, KPI scorecards, and self-service analytics to meet customer requirements. Design and implement drill-down, drill-through, and parameterized reports. Develop and maintain multidimensional data models, Framework Manager models, and data modules. Design, build, and optimize OLAP cubes and data cubes for high-performance analytics and reporting. Develop advanced calculations, metrics, prompts, filters, and custom expressions. Integrate IBM Cognos Analytics with IBM Maximo Application Suite (MAS), enterprise databases, and third-party applications. Support the development and integration of Cognos reports and dashboards with IBM Maximo 3D Dashboard capabilities and visualization solutions. Optimize report performance and troubleshoot complex reporting issues. Ensure data accuracy, consistency, and governance across reporting solutions. Develop reusable reporting templates and dashboard components. Collaborate with business users, solution architects, and technical teams throughout the project lifecycle. Prepare technical documentation, user guides, and knowledge transfer materials. Provide production support, enhancements, and performance tuning for Cognos environments. Requirements Required Technical Skills IBM Technologies IBM Cognos Analytics IBM Cognos Report Studio / Reporting IBM Cognos Dashboard IBM Framework Manager IBM Cognos Data Modules IBM Cognos Event Studio (preferred) IBM Cognos Administration Reporting & Analytics Complex Report Development Executive Dashboards KPI Dashboards Drill-through Reports Scheduled Reports Bursting Reports Data Visualization Analytical Reporting Data & Database Skills SQL (Advanced) Data Modeling OLAP Cubes Data Cubes Star Schema and Snowflake Schema ETL concepts Performance Tuning Database Experience IBM Db2 Oracle Microsoft SQL Server PostgreSQL Other enterprise relational databases Integration Skills REST APIs JDBC/ODBC IBM Maximo Application Suite (MAS) TNCP Performance Dashbaord. 3D Dashboard Integration Enterprise data integration concepts Required Experience 5+ years of hands-on experience with IBM Cognos Analytics. Proven experience developing complex reports and dashboards for enterprise customers. Strong experience with Framework Manager and metadata modeling. Experience designing and maintaining OLAP/data cubes for analytical reporting. Experience integrating Cognos with enterprise applications, including IBM Maximo Application Suite. Strong SQL development and query optimization skills. Experience with performance tuning of reports and dashboards. Ability to translate business requirements into scalable reporting solutions. Preferred Qualifications IBM Cognos Analytics Certification. Experience with IBM Maximo Application Suite (MAS). Experience developing dashboards for IBM Maximo Monitor or IBM Maximo Visual Inspection. Knowledge of data warehousing and business intelligence best practices. Experience with OpenShift and cloud-based deployments. Familiarity with Python or scripting for automation is an advantage. Soft Skills Strong analytical and problem-solving skills. Excellent communication and presentation skills. Ability to interact directly with customers and gather reporting requirements. Strong documentation and solution design capabilities. Ability to work independently and collaboratively in cross-functional teams. Customer-focused mindset with the ability to deliver high-quality analytics solutions within project timelines. Education Bachelor's degree in Computer Science, Information Technology, Engineering, Data Analytics, or a related field. Equivalent professional experience will also be considered. Preferred Candidate Profile The ideal candidate should have extensive experience in IBM Cognos Analytics, with the ability to develop sophisticated reports, dashboards, and analytical solutions tailored to customer requirements. The candidate should be proficient in building and optimizing data models and cubes, integrating Cognos with IBM Maximo Application Suite and 3D Dashboard environments, and delivering scalable, high-performance business intelligence solutions that support operational and executive decision-making.

Location: Athens, Greece We are seeking a Semantics/Knowledge Graph Engineer to support a complex platform built around RDF data models, SPARQL queries, and structured datasets. You will be responsible for understanding, maintaining, and evolving the semantic layer of the system, working closely with backend engineers and architects. This role suits a specialist who enjoys data modelling, semantics, and knowledge representation in real-world production systems. What You'll Do: Analyse and maintain RDF/TTL data models and vocabularies; Develop, optimise, and maintain SPARQL queries; Support data ingestion, transformation, and validation workflows; Ensure consistency and correctness of semantic data across the platform; Collaborate with backend engineers to integrate semantic logic into application flows; Assist in documenting semantic models, assumptions, and constraints; Participate in troubleshooting data quality and reasoning issues. Requirements 3+ years of experience working with semantic or data-centric systems; Strong knowledge of: RDF, RDFS, OWL SPARQL Experience with: Knowledge graphs or semantic interoperability platforms; Data modelling and ontology design; Comfortable working with structured data formats: TTL, XML, JSON, CSV Ability to analyse existing models and understand implicit domain logic. Nice-to-Have: Experience with triplestores or graph databases; Familiarity with EU data standards or interoperability frameworks; Python scripting for data processing and/or Apache Airflow; Experience in projects with regulatory or standards-driven constraints. Benefits We believe in rewarding talent and dedication. Here's what you can expect as part of our team: Competitive full-time salary; Private Health Coverage on the Company’s group program; Flexible Working Hours; Top-of-the-Line Tools; Professional Development: Benefit from language courses, specialized training, and continuous learning opportunities; Career Growth: Work with some of the most innovative and exciting specialists in the industry; Dynamic Work Environment: Thrive in a setting that offers challenging goals, autonomy, and mentoring, fostering both personal and company growth. If you want an exciting challenge, work with some of the coolest technologies, and enjoy your time doing it, then join us! Submit your detailed CV in English, quoting reference: ( S/KGE/11/26 ). You may also consider all our other open vacancies by visiting the career section of our website ( www.eurodyn.com ) and follow us on Twitter (@EURODYN_Careers) and LinkedIn. EUROPEAN DYNAMICS (ED) ( www.eurodyn.com ) is a leading European Software, Information, and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Berlin, Stockholm, London, Nicosia, Valetta, Vienna, Den Haag, Hong Kong, etc.) The company employs over 1200 engineers, IT experts, and consultants (around 3% PhD, 41% MSc, and 54% BSc). We design and develop software applications using integrated, state-of-the-art technology. Our current IT projects have a value exceeding 300 million EURO. EUROPEAN DYNAMICS is a renowned supplier of IT services to European Union Institutions, international organizations, European Agencies, and national government Administrations in 40 countries and 4 continents. As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, colour, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion. EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published at www.eurodyn.com/privacy . By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line with the Policy.

Location: Athens, Greece We are seeking a Semantic / Data Engineer to support a complex platform built around RDF data models, SPARQL queries, and structured datasets. You will be responsible for understanding, maintaining, and evolving the semantic layer of the system, working closely with backend engineers and architects. This role suits a specialist who enjoys data modelling, semantics, and knowledge representation in real-world production systems. What You'll Do: Analyse and maintain RDF/TTL data models and vocabularies; Develop, optimise, and maintain SPARQL queries; Support data ingestion, transformation, and validation workflows; Ensure consistency and correctness of semantic data across the platform; Collaborate with backend engineers to integrate semantic logic into application flows; Assist in documenting semantic models, assumptions, and constraints; Participate in troubleshooting data quality and reasoning issues. Requirements 3+ years of experience working with semantic or data-centric systems; Strong knowledge of: RDF, RDFS, OWL SPARQL Experience with: Knowledge graphs or semantic interoperability platforms; Data modelling and ontology design; Comfortable working with structured data formats: TTL, XML, JSON, CSV Ability to analyse existing models and understand implicit domain logic. Nice-to-Have: Experience with triplestores or graph databases; Familiarity with EU data standards or interoperability frameworks; Python scripting for data processing and/or Apache Airflow; Experience in projects with regulatory or standards-driven constraints. Benefits We believe in rewarding talent and dedication. Here's what you can expect as part of our team: Competitive full-time salary; Private Health Coverage on the Company’s group program; Flexible Working Hours; Top-of-the-Line Tools; Professional Development: Benefit from language courses, specialized training, and continuous learning opportunities; Career Growth: Work with some of the most innovative and exciting specialists in the industry; Dynamic Work Environment: Thrive in a setting that offers challenging goals, autonomy, and mentoring, fostering both personal and company growth. If you want an exciting challenge, work with some of the coolest technologies, and enjoy your time doing it, then join us! Submit your detailed CV in English, quoting reference: ( SDE/11/26 ). You may also consider all our other open vacancies by visiting the career section of our website ( www.eurodyn.com ) and follow us on Twitter (@EURODYN_Careers) and LinkedIn. EUROPEAN DYNAMICS (ED) ( www.eurodyn.com ) is a leading European Software, Information, and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Berlin, Stockholm, London, Nicosia, Valetta, Vienna, Den Haag, Hong Kong, etc.) The company employs over 1200 engineers, IT experts, and consultants (around 3% PhD, 41% MSc, and 54% BSc). We design and develop software applications using integrated, state-of-the-art technology. Our current IT projects have a value exceeding 300 million EURO. EUROPEAN DYNAMICS is a renowned supplier of IT services to European Union Institutions, international organizations, European Agencies, and national government Administrations in 40 countries and 4 continents. As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, colour, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion. EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published at www.eurodyn.com/privacy . By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line with the Policy.

Location: Marousi, Greece We are seeking a senior litigator from a leading Greek law firm or an in-house legal function, with 8+ years' post-qualification experience and strong expertise in public procurement litigation. The ideal candidate combines courtroom experience with a preventive, commercially minded approach, and can protect the group's interests in competitive tender processes while keeping disputes to a minimum. You will join a dynamic, fast-growing GovTech business that bids for and delivers contracts for EU institutions and national public authorities across Europe. Key Responsibilities Act as the group's senior authority on dispute resolution, setting strategy and overseeing any litigation, arbitration or administrative proceedings involving ED's entities across jurisdictions. Protect ED's position in public tenders: assess procurement decisions and, where appropriate, pursue or defend challenges before national review bodies, the Greek administrative courts and Council of State, and the EU General Court. Advise senior management and bid teams at key tender milestones (evaluation, award, standstill) so decisions to challenge, intervene or defend are well founded and proportionate. Prevent disputes by strengthening tender submissions, contract terms, and consortium and teaming agreements, drawing on procurement and litigation insight. Resolve contractual issues with clients, subcontractors and consortium partners early, favouring negotiated outcomes that protect long-term relationships. Select and manage external counsel in Greece, Luxembourg, Belgium and other jurisdictions when needed, ensuring strategy alignment and cost control. Provide the CEO and the Board with clear, periodic reporting on legal risk and exposure, and give input to Finance where relevant. Guide and support the in-house disputes team, promoting consistent quality and sound judgement. Advise on contractual risk in EU institutional and public sector framework contracts, and support compliance, governance and M&A due diligence as required. Requirements LLB/LLM and qualification to practise law in Greece (member of the Athens Bar Association or equivalent); rights of audience before the higher courts preferred. 8+ years' experience in litigation and dispute resolution at a recognised Greek law firm or a comparable in-house role, with substantial public procurement litigation experience. Strong knowledge of national procurement review procedures and EU public procurement law, including the EU Directives and the EU Financial Regulation rules for procurement by EU institutions; experience before the EU courts is a strong advantage. Proven ability to assess legal risk proportionately, manage external counsel and budgets, and communicate clearly with senior management and boards. Experience guiding or mentoring other lawyers. Fluent English (written and spoken) is essential; French or other European languages are a strong plus. Sound judgement, independence and the ability to work across multiple jurisdictions. Commercial mindset, with a preference for practical, preventive solutions over adversarial ones. Benefits We believe in rewarding talent and dedication. Here's what you can expect as part of our team: Competitive full-time salary; Private Health Coverage on the Company’s group program; Flexible Working Hours; Top-of-the-Line Tools; Professional Development: Benefit from language courses, specialized training, and continuous learning opportunities; Career Growth: Work with some of the most innovative and exciting specialists in the industry; Dynamic Work Environment: Thrive in a setting that offers challenging goals, autonomy, and mentoring, fostering both personal and company growth. If you want an exciting challenge, work with some of the coolest technologies, and enjoy your time doing it, then join us! Submit your detailed CV in English, quoting reference: ( CO&LC/11/26 ). You may also consider all our other open vacancies by visiting the career section of our website ( www.eurodyn.com ) and follow us on Twitter (@EURODYN_Careers) and LinkedIn. EUROPEAN DYNAMICS (ED) ( www.eurodyn.com ) is a leading European Software, Information, and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Berlin, Stockholm, London, Nicosia, Valetta, Vienna, Den Haag, Hong Kong, etc.) The company employs over 1100 engineers, IT experts, and consultants (around 3% PhD, 41% MSc, and 54% BSc). We design and develop software applications using integrated, state-of-the-art technology. Our current IT projects have a value exceeding 300 million EURO. EUROPEAN DYNAMICS is a renowned supplier of IT services to European Union Institutions, international organizations, European Agencies, and national government Administrations in 40 countries and 4 continents. As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, colour, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion. EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published at www.eurodyn.com/privacy . By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line with the Policy.

Location: Remote (South Africa) ABOUT CLIPBOARD Our mission is to uplift as many communities as possible. We do this through our app-based marketplace that connects healthcare professionals with the workplaces that need amazing workers. This enables hundreds of thousands of people to achieve financial stability for themselves and their families while providing essential care to millions of people across the U.S. Founded in 2016, we are a remote-first team of over 1,000 people building a top Y-Combinator company https://www.ycombinator.com/topcompanies/ and have been profitable since 2022. We’re the leader in Long-Term Care staffing and are rapidly expanding into Home Health, Hospitals, and more, meaning we have more work to do than people to do it, and are growing our team to support millions more people and their communities. OVERVIEW 📍 Remote - South Africa Want to sit at the intersection of Support, Engineering, and Product? Clipboard is hiring Technical Support Engineers (TSEs) to act as the primary escalation layer for technical issues across our platform. You'll own the investigation, reproduction, and - where applicable- agent-assisted fix implementation that turns noisy customer reports into validated, high-signal work, so Engineering only receives production-ready problems for final review. This is a hands-on, high-ownership role for people who love digging into hard problems with real diagnostic tools, who care about getting to the root cause rather than just clearing a queue, and who want their investigations to directly protect platform reliability for hundreds of thousands of healthcare workers and the facilities that depend on them. WHAT YOU'LL DO - Monitor escalation channels and the Technical Support queue in Zendesk, catching early signals of systemic problems before they reach customers - Investigate complex product, platform, and data-layer issues using tools like Datadog, internal dashboards, and SQL, reproducing bugs and producing evidence-backed escalations to Engineering. - Handle live incidents end-to-end, from detection to closure: React to an incident with urgency, coordinate across Support, Engineering, and Product, and keep stakeholders updated with clear, structured communication - Implement fixes where appropriate, testing your changes before handing off to Engineering for final review and sign-off - Perform Root Cause Analysis and post-incident reviews, translating each issue into learnings that reduce recurrence and improve monitoring - Maintain operational workflows (geofence, facility quizzes, NFC) accurately and quickly while spotting trends for prevention - Capture investigative learnings in clear troubleshooting guides and documentation, and submit structured proposals that turn recurring patterns into actionable improvements - Uphold our values such as unreasonably fast, ownership, and uncomfortably high standards in every interaction WHO WE'RE LOOKING FOR - Technical Fluency - You're comfortable investigating issues with observability tools (e.g., Datadog), writing SQL to interrogate data, and reasoning about APIs, backend configurations, and feature toggles. You can tell the difference between a UI, data, and code-level problem. - Diagnostic Rigor - Every investigation you produce is thorough, evidence-based, and reproducible. You rule out config and data causes before escalating, and your write-ups are clear enough for another engineer to pick up without rework. - End-to-End Ownership - You own problems from first report to confirmed resolution, including stakeholder updates and follow-through, with no gaps between hand-offs. - Composure Under Pressure - You stay structured and calm during live incidents, balancing speed with accuracy and communicating clearly when stakes are high. - Adaptability & Prioritization - You juggle structured work (incidents, bugs, workflows) with unplanned high-priority requests without letting SLAs slip. - Systems & Prevention Thinking - You treat every issue as a chance to learn, identifying gaps in monitoring, tooling, or process and proposing fixes that prevent recurrence. - Fluent, professional-level English communication, both written and verbal. NICE TO HAVE - Experience with observability and analytics tooling (Datadog, Sentry, Snowflake, or similar) - Familiarity with SQL and reading application logs - Background in technical support, SRE, incident response, or a related engineering-adjacent function - Exposure to AI-assisted coding/agent tooling - Experience in Ops, Support, or CX environments at scale HIRING PROCESS - Application Review - Skills Assessment via Case Study - Case Interview with Tech Support Team Lead - Interview with Head of Worker Experience Important Note: Clipboard operates 24/7. Team members work 5 days within a 7-day schedule, including weekend availability. Shifts are assigned based on business needs. Quick Note on Scammers: Clipboard would never ask you for money or your bank details to participate in our hiring process. Report any scammers impersonating the Clipboard hiring team members here https://forms.gle/SyGaxHFbon7Hg9fW6.

Location: Singapore Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We're building the next chapter of AI-native craft and creativity - where craft and technology meet. Our unified platform bridges the gap between AI capabilities and human creativity, and lets professional creatives and designers harness the power of the world’s leading AI models without losing precision, expression, or soul. Together, we’re building tools that help people move faster without sacrificing quality, precision, or craft — a platform where AI supports creativity instead of flattening it. As one of our founding Technical Quality Specialists on the Product Support team for Figma Weave, you’ll have the exciting opportunity to help define, build, and elevate this new support function. This team will be responsible for troubleshooting complex bugs and working closely with our internal teams to elevate the Figma Weave experience for all of our customers. You will be delivering the kind of experiences that build trust throughout the Figma community, from customers to key internal partners, such as Product and Engineering. We are looking for a Technical Quality Specialist who is an advocate for quality improvements that enable great end-to-end experiences for the people and businesses using Figma Weave. An ideal candidate will have a background with strong testing experience, be comfortable collaborating when priorities move quickly and the path forward is often ambiguous, while demonstrating leadership, technical competence, and a passion for quality. This is a full time hybrid role based out of our Singapore hub. What you’ll do at Figma Weave: Develop expertise in Figma Weave’s products and the journey of our customers—from Product Designers to Developers—to accurately diagnose sophisticated bugs Interact with Figma Weave customers daily via email and the forum, taking ownership over complex problems Troubleshoot complex customer inquiries to identify root causes, effectively communicate, and report bugs to our Engineering teams Serve as the designated point of contact for critical technical issues raised by customers and internal teams, proactively engaging partners like Engineering and Product, and owning customer communication through to resolution Make recommendations for tooling and process improvements that help the team better manage and diagnose bugs within Figma Weave Work with the Product Support Learning and Performance team as a subject matter expert to develop documentation and training materials for future Technical Quality Specialists Act as the voice of the customer by identifying trends and communicating insights to partners across Product and Engineering to advocate for bug fixes, process improvements, and feature enhancements to Figma Weave Keep the broader Product Support team up to date on current high-priority bugs and fixes that have been implemented in Figma Weave We’d love to hear from you if you have: 2+ years of experience working in a QA or Support environment for a technical SaaS product Troubleshooting and debugging experience across multiple platforms Consultative communication skills with the ability to tailor a message for your audience - translating complex technical concepts into concise explanations for both technical and non-technical stakeholders Resilience and adaptability—you’re motivated by experimenting, building, and working across teams, and are confident navigating times of change and ambiguity Japanese a plus, but not essential At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.