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Location: Barcelona, Spain; Budapest, Hungary; Düsseldorf, Germany; Frankfurt, Germany; Krakow, Poland; Krosno, Poland; Liège, Belgium; Lille, France; Vilnius, Lithuania; Ljubljana, Slovenia; Lublin, Poland; Lyon, France; Madrid, Spain; Città Vittoriosa, Malta; Podgorica, Montenegro; Poland; Sarajevo, Bosnia and Herzegovina; Banská Bystrica, Slovakia; Sofia, Bulgaria; Stuttgart, Germany; Tenerife, Spain; Wien, Austria; Warsaw, Poland; Zagreb, Croatia; Zürich, Switzerland; Petten, Netherlands; Aachen, Germany; Athens, Greece; Augsburg, Germany; Bad Homburg, Germany; Baden-Baden, Germany; Berlin, Germany; Bolzano, Italy; Bordeaux, France; Bratislava, Slovakia; Bromolla, Sweden; Brussels, Belgium; Bucuresti, Romania; Bucharest, Romania; Buenos Aires, Argentina; Dusseldorf, Germany; Hamburg, Germany; Hannover, Germany; Luxembourg; Amsterdam, Netherlands; Pondicherry, India; Ahmedabad, India; Berat, Albania; Delhi, India; Dnipro, Ukraine; Helsinki, Finland; Bangalore, India Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Senior Formal Verification (FV) Engineer to join one of our clients' teams. Reporting directly to the Vector Unit Verification Lead, this is a highly technical Individual Contributor (IC) role. In this position, you will be the dedicated formal expert for the VU team, responsible for designing scalable formal testbenches, writing mathematical properties, and ensuring the absolute algorithmic and architectural integrity of our vector pipeline. You will work side-by-side with VU microarchitects to hunt down deep corner-case bugs and achieve formal sign-off on high-complexity arithmetic and execution blocks. Key Responsibilities Block-Level Execution & Convergence Engineering (90%) End-to-End Testbench Ownership: Design, deploy, and maintain robust formal verification environments for complex Vector Unit sub-blocks (e.g., Vector Execution Pipelines, Vector Register File/Rename interfaces, and Vector Floating-Point Units). Datapath & Arithmetic Verification: Implement advanced word-level modeling, bit-blasting, and algebraic rewriting strategies to verify complex IEEE-754 floating-point and integer vector arithmetic units. Proof Convergence Management: Independently diagnose and resolve proof-convergence failures, over-constraints, and state-space explosions using advanced reduction techniques (e.g., case-splitting, black-boxing, and abstraction modeling). RISC-V Vector Compliance: Develop formal environments to mathematically prove that the VU pipeline strictly complies with the RISC-V Vector (V) Extension specification. Simulation Partnership: Collaborate closely with VU simulation engineers to define a razor-sharp boundary between simulation and formal verification, ensuring maximum bug-hunting efficiency and zero coverage gaps. Embedded Mentorship & Best Practices (10%) Formal-Friendly Design: Partner with VU microarchitects during early-stage RTL development to drive formal-friendly coding styles and structural design patterns. SVA Propagation: Review and refine SystemVerilog Assertions (SVA) written by design and simulation peers, establishing best practices for block-level assertions within the VU team. Education: B.S./M.S. in Computer Engineering, Electrical Engineering, or Computer Science with practical industry execution; or a Ph.D. with a research focus on formal methods or computer arithmetic. Experience: 5+ years of production-grade hardware verification experience (or Ph.D. + 1–3 years) with a strong, proven track record of applying formal verification to CPU, GPU, or DSP execution pipelines. Collaboration Style: A self-driven engineer who enjoys deep mathematical puzzles, collaborates seamlessly within a localized block-level team, and can translate complex proof counter-examples into actionable bugs for designers. Datapath Validation Focus: Strong specialization in arithmetic formal verification, algebraic rewriting, and word-level modeling. Familiarity with control-path formal techniques (liveness, safety properties) is highly welcome. Vector Microarchitecture: Good working knowledge of high-width execution pipelines, vector execution units, or floating-point/integer arithmetic hardware. Experience with Out-of-Order execution mechanics is a plus. Formal Tools: Proficient command of commercial EDA formal tools (e.g., Cadence JasperGold/DPV, Synopsys VC Formal, Siemens OneSpin) and their specialized mathematical/datapath apps. Languages: Native fluency in SystemVerilog and SystemVerilog Assertions (SVA). Scripting proficiency (Python, Tcl, or Bash) for testbench automation. Nice to Have RISC-V Core Verification. RISC-V Ecosystem: Familiarity with the RISC-V Architecture, specifically the Vector (V) and Floating-Point (F/D) extension ecosystems. Emulation platforms (Veloce, ZeBu). Core/Bus interface protocols (e.g., AXI/CHI).

Location: Czech Republic Workplace: remote As a trusted global transformation partner, Welo Global accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welo Global 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, Welo Global 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.  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 the essential functions.   Welo Global | Enterprise Localization, AI & Multilingual Solutions Platform   OVERVIEW   At Park IP, Welo Global’s Legal Service Line, we are currently seeking experienced patent translators to support our growing portfolio of patent translation projects.  We are looking for linguists with proven experience translating patents from English US (en-US) into Czech (cs-CZ):  The ideal candidate will have strong experience in translating and proofreading patents, specifically in the field of Biology.   Project Details   Job Title: English US into cs-CZ Patent Translator  Location: Remote   Content Type: Biology    Expected Weighted Volume Per Week: 2,000 to 5,000  CAT Tool: JIRA, XTM   Employment Type: Freelance Main Duties Translate patent-related content from English US (en-US) into  cs-CZ, with original meaning conveyed in a manner that is readable and understandable to target audience. The Style adequacy is a key aspect for our client; Follow instructions, for example Translation process, CAT tool usage, etc. Communicate effectively and response promptly in English. Requirements Minimum two years' experience translating and reviewing content in the patent field of  Biology; Native fluency in target language; Degree in linguistics, translation or equivalent experience. When you join Welo Global, you have the opportunity to bring your career to the next level:   Receive steady volume of work and long-term partnership {where this applies}    Professional development: work on exciting projects that will empower you keep learning and growing   Work with a multicultural, international team with a great variety of documents and content types     24-hour 6-day a week support from our Community team.   If this opportunity sounds appealing to you, please apply below.

Location: Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. Detection and Response The Detection and Response team is responsible for detection engineering, threat intelligence, and incident response across Nebius Cloud. Its goal is to improve and maintain Nebius's security monitoring capabilities, as well as to build and maintain an end-to-end Security Incident Response program - people, processes, and tools. The Role We're hiring a Detection & Response Engineer to build and run our D&R capability from the ground up. You'll work on detection engineering, threat intelligence, and incident response functions across Nebius Cloud. You'll be responsible for detection development, handling complex security incidents, forensics, and shaping the D&R strategy. What you’ll do Detection development: maintain low false-positive and false-negative rates. Work closely with alerts consumers (20+ teams) to keep noise low and signal high, ensuring they can act quickly without missing genuine threats. Architect and operate detection coverage across our cloud and bare-metal environments Build and extend our internal D&R tools and pipelines - onboard new logs, build and automate response runbooks. Integrate threat intelligence into detection logic and IR playbooks, tracking adversary TTPs relevant to Cloud infrastructure Lead incident response end-to-end: scoping, containment, root cause analysis, post-incident reviews and controlling critical action items are closed to prevent future possible incidents. Partner with Compliance and Engineering teams to detect real threats while meeting the needs of both engineers and regulators. Define and report on D&R metrics: MTTD, MTTR, detection coverage, false positive rates, etc. Build and maintain Security Incident Response program: people, processes, tools. Build tools, runbooks, and on-call processes that scale as the company grows. What we look for 6+ years in security operations, detection engineering, or incident response. Deep hands-on experience with cloud-native environments (Kubernetes, Linux workloads, container-based infrastructure). Strong detection engineering skills: writing and tuning rules/detections in SIEM platforms (e.g., Chronicle, Splunk, Elastic) and SQL. Experience building or operating SOAR workflows and automating response at scale (ideally with Golang and Temporal). Working knowledge of threat intelligence frameworks (MITRE ATT&CK, Pyramid of Pain, Kill Chain ) and how to operationalize them in detections. Solid IR fundamentals: memory forensics, log analysis, network traffic analysis, and post-incident reporting. Stakeholder management: able to coordinate across engineers, compliance, legal, executives during active incident phase. Serve as the primary owner and driver for complex changes, as a result of incidents post-mortem. Nice to have Experience with AI/ML and GPU clusters related threats. Familiarity with eBPF-based detection or runtime security tooling (Falco, Tetragon). Background in threat hunting. Why this role at Nebius Build D&R at a company scaling from startup to global infrastructure provider in real time. Ability to evolve our internal D&R platform into a new cloud security product, delivering novel security observability for a range of neocloud customers - from big tech to AI startups. Work alongside world-class engineers on infrastructure that powers frontier AI. Competitive compensation with equity upside in a Nasdaq-listed, high-growth company. Flexible, remote-first culture. Hiring Process Recruiter's chat (30mins) Live-coding interview (60mins) to asses basic coding skills Security interview (60mins) to asses domain expertise Incident Response interview (90mins) to assess practical experience Final interview to close the hiring process (45mins) #LI-CP1 Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity We are building the foundational data infrastructure that powers one of the world's leading crypto exchanges. As a Big Data Platform Engineer , you will design, build, and evolve the core platform services that enable hundreds of data engineers and analysts to move fast and ship reliable pipelines. You will be at the forefront of our AI agent initiative — embedding LLM-driven capabilities directly into the platform layer so that scheduling, cost optimization, and incident response increasingly run autonomously. What You’ll Be Doing Platform Core: Design and operate large-scale distributed data systems Own the big data compute and storage infrastructure (MaxCompute/ODPS, Hologres, Spark) Build and maintain multi-site task orchestration that dynamically selects engines and enforces policy Drive reliability and performance improvements across batch and real-time pipelines AI Integration: Build the AI-native platform layer Develop and expose MCP (Model Context Protocol) tool interfaces so AI agents can interact with platform APIs Build the scheduling and cost-optimization agents that auto-tune resource allocation and alert severity Instrument platform telemetry to feed AI-driven SLA monitoring and anomaly detection Design context retrieval pipelines (RAG / vector search) for SQL code and config knowledge bases Tooling & DX: Evolve the developer experience Own the internal data development platform — IDE integrations, code review automation, deployment tooling Build APIs-first tools (backfill, ingestion automation) designed for future MCP integration Collaborate with data warehouse and service teams to define platform contracts Ops & Governance: Drive operational excellence Establish SLA benchmarks, cost metrics, and latency dashboards as AI optimization targets Build automated incident response and root-cause analysis pipelines Define and enforce infrastructure policies across multi-cloud environments AI Agent Ownership — Platform Tier Scheduling Agent: auto-configure task dependencies, engine selection, cost/performance trade-offs, and alert tiers Operations Agent: detect pipeline latency, performance degradation, and schema drift; trigger remediation Incident Response Agent: trace SLA breaches to root cause, assign accountability, generate post-mortems MCP Tool Layer: design and maintain the cross-platform tool interfaces that all agents call into What We Look For In You 5+ years of experience building large-scale data platforms (Hadoop/Spark/Flink or equivalent) Deep expertise in distributed storage and compute systems (MaxCompute, Hologres, ClickHouse, Hive) Strong software engineering skills in Java, Scala, or Python; experience with API-first design Hands-on experience with task scheduling systems (Airflow, DolphinScheduler, or in-house equivalents) Solid understanding of multi-cloud architectures and cost governance Familiarity with LLM integration patterns: tool calling, RAG pipelines, context management Experience with MCP or similar agent-tool frameworks is a strong plus Passion for building systems that make other engineers 10x more productive Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: San Francisco Mantle Squad US – Ecosystem Researcher San Francisco, US | Part-Time | 15–20 hours/week Role Overview Mantle is expanding its presence across the Americas and is seeking a high-signal ecosystem operator to help grow brand presence, community engagement, and offline traction. This part-time role (15–20 hours/week) is designed for individuals deeply embedded in either the crypto/X ecosystem or the San Francisco AI / builder community, with strong real-world credibility and the ability to convert offline interactions into meaningful ecosystem growth. The ideal candidate will act as a visible representative of Mantle in both digital and in-person environments: driving narrative, relationships, and ecosystem expansion across the US Responsibilities 1. Research, Trend Analysis & Narrative Development - Conduct in-depth research on Mantle, its ecosystem partners, and broader crypto, AI, and financial markets, with a focus on fast-moving narratives such as RWA prediction markets on-chain activity, and macro sentiment shifts - Identify emerging trends early and translate them into clear, actionable insights that inform narrative positioning, ecosystem opportunities, and strategic decision-making - Produce high-quality, narrative-driven research and analysis tailored for crypto-native audiences, institutional partners, and ecosystem communities (including blockchain clubs, universities, and research groups) - Break down complex trends such as RWA tokenization, prediction market signals, liquidity shifts, and macro cycles into clear, engaging, and distribution-ready content formats - Support internal strategy, campaigns, and ecosystem growth by surfacing trend-driven insights that shape positioning, timing, and focus 2. Ecosystem Representation & Offline Activation - Represent Mantle at industry events, conferences, meetups, and ecosystem gatherings across crypto, AI, and broader financial innovation spaces - Engage founders, builders, researchers, and institutional ecosystem participants in-person and convert interactions into meaningful relationships and opportunities - Support or co-host small-scale activations such as roundtables, research salons, and community events focused on emerging narratives (e.g. RWA, prediction markets, on-chain macro themes) - Act as a bridge between offline ecosystem conversations and Mantle’s internal teams by capturing real-time market and narrative signals from the field 3. Ecosystem Growth & Community Building - Leverage strong local and digital networks across crypto, AI, and developer ecosystems to expand Mantle’s presence in high-signal communities - Drive awareness and participation in Mantle’s ecosystem through narrative-led engagement across both online and offline channels - Support partnership development, introductions, and ecosystem expansion efforts tied to emerging sectors such as RWA, on-chain finance, and prediction markets Requirements - 2+ years of experience in crypto, Web3, or tech ecosystems (community, research, marketing, or growth roles) - Strong understanding of crypto culture and emerging narratives such as RWA, AI, …. - Ability to conduct lightweight research and translate insights into clear, well-written content or commentary for crypto-native audiences - Comfortable engaging in both online and offline ecosystem environments, including events, meetups, and community gatherings - Proven ability to build relationships with founders, builders, and ecosystem participants and follow up on meaningful connections - Strong communication skills with the ability to adapt messaging across different audiences (community, builders, partners) - Self-directed and reliable in executing responsibilities in a fast-paced, part-time, distributed environment Why Join Mantle Squad Americas - Be part of Mantle’s early expansion in North America - Work directly with global teams and ecosystem leaders - Gain access to high-impact crypto and AI events - Build your personal brand through research and storytelling - Grow into expanded regional or full-time ecosystem roles

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity The Platform Product Manager owns the product planning and design of the R&D Efficiency Platform and Cloud Management Platform, working closely with frontline R&D and Ops teams to translate pain points across CI/CD, DevSecOps, Change Management, and multi-cloud management into clear product solutions, and continuously measuring and optimizing platform value through a data-driven approach. What You’ll Be Doing Own product planning, roadmap, and release cadence for the R&D Efficiency Platform and Cloud Management / Operations Automation Platform; Uncover frontline pain points across CI/CD, DevSecOps, Change Management, and multi-cloud management , translating them into clear product solutions; Lead the functional and process design of core modules such as CI/CD, Change Management, security gates, and full-lifecycle multi-cloud resource management ; Drive the platform's AI-Native evolution , planning AI Agent / LLM productization for intelligent review, pipeline self-healing, intelligent cloud orchestration, and ChatOps; Collaborate with R&D, SRE, and Security teams to onboard business systems, improving engineering efficiency and delivery quality; Establish a data-driven metrics system (DORA metrics, change success rate, MTTR, cloud resource utilization/cost) to continuously optimize platform value. What We Look For In You Bachelor's degree or above in a Computer Science related field, with 3+ years of B2B / platform product management experience; Deep understanding of the DevOps / CI/CD lifecycle and software delivery process; Familiar with at least one product form among Cloud Management Platforms (CMP), multi-cloud management, R&D efficiency platforms, or IDPs ; Strong requirement insight, structured thinking, and product design skills; Data-sensitive, skilled at driving product decisions through metrics; Knowledge of AI / LLM productization (Agent, RAG, ChatOps), with a perspective on embedding AI into products; Excellent cross-team communication and fluent English communication skills. Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: New York City, New York, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. About Tavily We're building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent — but also informed. We work with some of the most innovative teams in AI — from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it's powering sales assistants, research copilots, or internal knowledge tools, we're the missing link between LLMs and the real world. The Role We are looking for a Senior Software Engineer to design and build the billing platform behind a novel search engine tailored for agentic AI consumption. This role is based in our New York office, hybrid with the NYC team. Our APIs are used by millions of developers and the AI agents acting on their behalf, all paying based on what they consume. You will own the systems that turn product usage into accurate, trustworthy revenue, supporting flexible billing models—usage-based pricing, subscriptions, prepaid balances with auto top-up, and enterprise contracts. Correctness is non-negotiable: every event must be measured precisely and every invoice must be right to the cent. ‌ In this position, your responsibility will be to: Design and operate the billing platform end to end, from usage events to invoices Build metering and usage-aggregation pipelines that turn high-volume events into billable amounts Design and operate prepaid credit/wallet systems with auto top-up and balance management Support enterprise/contract billing with custom pricing, negotiated terms, and scheduled invoicing Build reconciliation, idempotency, and invoice-accuracy safeguards to ensure revenue data is always correct Lead the migration to the next generation of our billing system with no revenue loss or downtime Define observability and quality metrics for billing correctness, freshness, and throughput Ensure billing systems meet audit and compliance requirements ( SOX , financial audit) ‌ What we're looking for : 6+ years building production backend systems, of which 3+ years actively building and operating billing or metering systems in production Hands-on experience with usage-based / metered billing: rating, aggregation, and proration logic Hands-on experience with subscription / recurring billing alongside usage-based models Hands-on experience with prepaid credits / wallet systems and auto top-up mechanics Hands-on experience with enterprise / contract billing: custom pricing and negotiated terms End-to-end integration of a third-party billing platform (Stripe Billing, Metronome, Orb, or Zuora) Strong expertise in Python and TypeScript/Node (Go a plus) Production experience with transactional databases (Postgres or equivalent) for financial-grade data Built high-volume event / usage pipelines into a data warehouse (Kafka or Kinesis → Snowflake or BigQuery) Owned billing correctness in production: reconciliation, idempotency, invoice accuracy Product-Led Growth (PLG) experience: worked on billing for high-volume, self-serve users Hands-on with Auth0, Okta, or similar identity systems in production Shipped revenue systems under SOX or financial audit constraints Nice to have: Led a billing system migration or re-platform with zero revenue loss or downtime Built hybrid billing combining usage, subscriptions, and prepaid in one system Worked across both a payments layer (Stripe) and a metering / rating layer (Metronome / Orb) Billed a developer-facing / API product with pay-as-you-go and API-key metering Used Snowflake for usage aggregation and revenue analytics Why Tavily ? Full ownership — small team, you own the entire infrastructure, not a slice of it Real scaling challenges — bursty scraping workloads, cache invalidation, multi-region, millions of daily requests AI-native company — your infra directly powers AI agents used by leading companies in the space. Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $147,200 — $224,300 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Hong Kong, Hong Kong SAR OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa. Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity We are looking for a Staff Mobile Security Engineer to join our Mobile Security team, where you will play a key role in identifying and mitigating security vulnerabilities across OKX's mobile applications and platforms. This is a high-ownership role at the intersection of offensive security, mobile engineering, and platform protection — you will work closely with development, operations, and compliance teams to ensure security is embedded at every layer of our mobile stack. You bring deep expertise in mobile application security, offensive techniques, and secure coding practices. You are also fluent in AI-assisted development and bring the discipline to build, maintain, and continuously improve your own AI engineering workflows. What You'll Be Doing Identify and address security vulnerabilities in mobile code, systems, and networks through manual review, automated tooling, and threat modelling. Manage and optimise application security tools, processes, and alerts to maintain a strong security posture. Validate and respond to Bug Bounty submissions, triaging findings and coordinating remediation with engineering teams. Produce detailed security findings reports and present them to both technical and management audiences, contributing to real-world attack prevention. Collaborate with development teams to implement and champion secure coding practices across iOS and Android platforms. Apply AI tools to accelerate security research, automate vulnerability detection workflows, and improve the efficiency of threat analysis. Work alongside operations and compliance teams to ensure security is a consistent priority across the organisation. Participate in incident response and management activities. Stay current on the latest offensive security techniques, application security threats, and industry best practices. What We Look For In You 5+ years of experience in mobile application security or offensive security, with hands-on expertise in iOS and/or Android platforms. In-depth understanding of security risks, vulnerabilities, and concepts in mobile and web applications. Proficient in code review across Kotlin, Swift, TypeScript, or JavaScript, with a strong grasp of application security threats. Able to create proof-of-concepts (PoCs) to demonstrate vulnerabilities, review patch code for adherence to standards, and collaborate with repository owners on remediation. Actively uses AI tools in your security engineering workflow — including building AI-leveraged workflows and codifying repeatable agent skills so tools like Claude Code or Codex deliver reliably on real production work. Strong analytical and problem-solving abilities with excellent verbal and written communication skills. Nice-To-Haves Prior experience developing mobile security SDKs at scale — products with a daily active user base of over ten million. Experience in large-scale business risk control projects, or practical experience in threat intelligence, business risk prevention, and countermeasures against black and grey industries. In-depth reverse engineering of major apps from first-tier vendors, or other projects that demonstrate strong reverse engineering capabilities. Proficiency in ARM assembly, with the ability to implement deep-level countermeasures at the native and application layers. Experience with device fingerprint recognition — including simulating new devices through methods such as flashing, modification, and application cloning. Ability to work across multiple mobile platforms simultaneously. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! #LI-ML1 #LI-ONSITE Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity As a Technical Expert, you will lead the development of the company’s core security engineering and DevSecOps capabilities, with a strong focus on security product development, platform engineering, and SDK /Agent development . The ideal candidate should demonstrate deep security expertise, broad technical coverage, strong hands-on engineering capability, and exceptional influence in driving security governance across business teams . What You’ll Be Doing Lead the architecture and core development of the company’s end-to-end DevSecOps platform, security products, and SDKs/Agents , covering code, build, artifacts, images, deployment, and runtime security. Own the design and development of RASP / Java Agent runtime protection , leveraging ASM, ByteBuddy, and Java Instrumentation for bytecode enhancement, runtime hooks, detection and blocking engines, while continuously improving performance, stability, and compatibility. Build and integrate SAST, DAST, IAST, SCA, code security scanning, and image security scanning into CI/CD workflows, and drive deep integration of tools such as SonarQube and Coverity to form a closed loop of scanning, gating, remediation, and re-validation. Drive core application security protection and offensive/defensive capabilities across scenarios such as XSS, SQL injection, SSRF, deserialization, command execution, authentication/authorization flaws, privilege escalation, and API security . Advance AI-Native Security Engineering by applying LLMs and AI Agents to vulnerability analysis, rule generation, false-positive reduction, remediation suggestions, security knowledge management, and workflow automation, while building deep understanding of their architecture, principles, and security implications. Partner closely with business engineering teams to drive security standards, integration rules, quality gates, risk classification, remediation workflows, and overall security governance adoption. Collaborate with engineering, architecture, operations, QA, and business stakeholders to solve complex security problems and turn them into scalable product capabilities, engineering solutions, and governance mechanisms. What We Look For In You Strong fundamentals in computer science and security, with deep understanding of operating systems, networking, compilers/ JVM internals, distributed systems, application security, cloud-native security, and software supply chain security , with both breadth and depth in security technologies. Expert-level Java proficiency , especially in JVM internals, ClassLoader , Java Agent, ASM, ByteBuddy, bytecode instrumentation, profiling, and performance tuning ; proficient in Python or Golang as well. Proven hands-on experience with RASP, SAST, DAST, IAST, SCA, image security, and code security scanning , with the ability to independently design, integrate, and productionize security capabilities. Strong offensive and defensive security experience , with deep understanding of vulnerability root causes, exploitation techniques, detection logic, bypass methods, and remediation strategies in web, API, and microservice environments. Strong practical experience with LLMs and AI Agents , plus deep understanding of model architecture, agent design, tool invocation, context engineering, evaluation methods, and the impact of AI on both security engineering and attacker capabilities. Strong engineering and product mindset, capable of leading the design and implementation of security products, platform modules, and SDKs/Agents while balancing security effectiveness, performance overhead, integration cost, and operability . Strong ownership, communication skills, and cross-functional influence, with a proven ability to drive business teams on security governance, policy adoption, and remediation outcomes. Preferred Qualifications Background from top-tier Internet companies, cloud providers, or leading cybersecurity vendors ; Experience leading DevSecOps platforms, application security platforms, RASP systems, code scanning platforms, or cloud-native security platforms ; Strong experience in security product development, SDK /Agent development, vulnerability research, penetration testing, red/blue team exercises, or incident response ; Hands-on experience in AI + Security initiatives such as security copilots, intelligent rule generation, automated vulnerability analysis, or remediation recommendation systems. Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity As a Technical Expert, you will own the core build-out of the company's R&D Efficiency Platform, proactively identifying and eliminating risks across the delivery pipeline through CI/CD, DevSecOps, Change Management, and AI-Native upgrades—reducing delivery cost while improving quality and efficiency via platformization and automation. What You’ll Be Doing Build core capabilities of the R&D Efficiency Platform and onboard business systems to improve overall engineering efficiency and delivery quality; Design and optimize CI/CD pipelines (GitLab, Pipeline, ArgoCD), driving standardization, automation, and observability; Drive the AI-Native evolution of CI/CD , introducing AI Agent / LLM for intelligent code review, pipeline self-healing, smart test orchestration, and change-risk prediction; Build DevSecOps capabilities , embedding Shift-Left Security across the lifecycle with SAST, DAST, SCA, image/secret scanning, and security gates to ensure supply-chain security; Establish standardized Change Management , covering requests, risk assessment, approvals (CAB), canary releases, rollback, and change traceability; Apply Kubernetes, microservice governance (Nacos, Apollo, Kong), and Aliyun / AWS cloud services to ensure platform stability and scalability. What We Look For In You Solid Computer Science fundamentals (OS, networking, distributed systems, data structures & algorithms); Proficient in DevOps toolchains , CI/CD, Kubernetes, and microservice stacks; Familiar with DevSecOps concepts and security toolchains, understanding supply-chain security and compliance; Knowledge of AI / LLM in engineering-efficiency and CI/CD scenarios, with an AI-Native engineering mindset; Familiar with the Java stack, with broad awareness of multi-language and business-side technologies; Strong product sense, ownership, and ability to work under pressure; Fluent English communication for efficient cross-regional collaboration. Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Remote Workplace: remote About Truv Truv is transforming the financial data industry with a secure and real-time API platform for payroll account access. Our technology streamlines income and employment verification, direct deposit switching, and more, eliminating outdated processes and unlocking greater financial opportunities. Backed by $30M from top investors like Kleiner Perkins and NYCA, we're disrupting a $2B legacy market with cutting-edge innovation and a customer-first approach. Our leadership team brings expertise from industry giants like Apple, Carta, Venmo, MX, and Okta, driving the future of financial data access. About the Job MyTruv is the AI money autopilot. It watches people's accounts every day and turns financial chaos into calm. The product works. The problem is that we still sound like a product. We need a voice. Someone who can make personal finance funny, human, and worth sharing, without ever being cringe. Someone who knows exactly where the line sits between viral and vulgar, and stays on the right side of it. In the team we can spot when that voice is missing, but building it is a separate skill, and we do not have it yet. That is the whole job. You are our first community hire, and you own the voice, the content, and the community end to end. What You'll Do Be the voice of MyTru v Own how we sound everywhere: social, community, in-app copy, notifications. One voice, and it is a real person with taste and a sense of humor. Make money content people actually send to their friends. Sharp, native, funny. Viral, never vulgar. You know the line. Win TikTok TikTok is our main bet, because it pays off here and now, not in two quarters. You run it: concept, script, shoot, edit, post. You are the maker, and often the face. Turn our AI money insights and real user stories into short video that travels. Get us alive where our users actually talk Twitter/X and Reddit are voice channels, and they only work with a real, native American voice. Make us a presence people follow, not a brand account nobody reads. Build the community from zero Stand up the MyTruv community (Slack, WhatsApp, or iMessage) and make people want to be in it. Rituals, AMAs, early access. Reply in DMs and comments like a human. Turn happy users into a crew that brings us more users. Help run the creator engine Source and brief creators, run UGC, and help with the referral and revenue-share program that turns respected voices into partners. Be the ear to the ground You sit closest to the users. Every week, bring what they say, love, and hate back to product and marketing, with the receipts. Who You Are A natural, fluent English voice with a strong feel for American tone and idiom, plus real writing, humor, and taste. This is the whole thing. Skills we can teach, taste we cannot. You make your own short-form video and it does not feel like an ad. Show us the work. A hustler who gets genuinely excited to touch a real product and own it. Hunger beats years on a resume here. You actually find money and personal finance interesting, and you want to make it less scary for normal people. You can talk, and you can sell an idea in one sentence. Fluent in TikTok, Reels, Shorts, Twitter, and Reddit, and handy in a video editor (CapCut, Premiere, Final Cut, whatever gets it done). Based in the US and authorized to work here. Remote. We care more about taste and hunger than about a long resume. If you are early in your career but clearly have the voice, apply anyway. We are an equal-opportunity employer committed to diversity. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected status. Salary is dependent on experience and portfolio. Remote, United States. Full-time preferred, but we are open to a strong part-time or contract start.

Location: New York; San Francisco ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re building a platform that covers the whole life of an LLM: training it, deploying it, and observing it in production. We already run multi-node training, elastic inference, sandboxes, and distributed volumes, and we control the infrastructure underneath. We’re looking for research depth in post-training to sit alongside our systems and product work. We are looking for research scientists with a strong track record in reinforcement learning, machine learning, and foundation models, including large language and multimodal models, to join our research team. WHAT YOU’LL WORK ON: - Improve existing methods and develop new techniques for large-scale model training, optimization, and inference - Extend models to long-context and long-horizon tasks - Improve inference-time efficiency, reliability, and robustness in high-stakes real-world deployments YOU MAY BE A FIT IF: - You have a PhD in computer science, machine learning, or a related field - You have a demonstrated record of research accomplishments in reinforcement learning, machine learning, foundation models, or related fields - You have experience with large-scale training and inference infrastructure, including distributed systems and multi-node GPU clusters - You’ve developed, trained, optimized, or deployed state-of-the-art large-scale models - You have first-author publications at leading venues such as NeurIPS, ICML, ICLR, CoRL, CVPR, UAI, JMLR, or TMLR - You have a mission-driven mindset and a strong desire to translate research advances into meaningful product impact - You have a collaborative spirit and can work effectively across research and engineering teams Candidates with a master’s degree and significant research or industry experience will also be considered.

Location: New York; San Francisco ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: Most of the value of owning a model shows up at serving time. We’re building a platform that covers the whole life of an LLM (train it, deploy it, observe it), and inference is where teams feel the difference every day. We already run elastic inference, sandboxes, distributed volumes, and multi-node training, and we control the infrastructure underneath, so the serving stack is ours to shape rather than something we resell. You will do hands-on inference research at Modal, working with the research lead to pick high-impact bets and owning them end to end. The bets that matter most are the ones that move cost per token and tail latency on the workloads our customers actually run. WHAT YOU’LL WORK ON: - Own end-to-end inference research bets: speculative decoding, disaggregated prefill/decode, quantization (FP8, INT4), KV-cache and memory management, autoscaling for spiky serverless traffic, and whatever else the research agenda calls for - Train custom speculators against real production traffic and feed what you learn back into target models; acceptance length is the metric that decides the win - Work directly with customers alongside our Forward Deployed Engineers to deploy and tune models, and bring what you learn back into the research - Carry and expand collaborations with outside research labs, for example: - our work with ZLab on DFlash https://modal.com/blog/spec-is-all-u-need, a speculator design built on KV injection and blockwise parallel drafting - our work with SGLang on specdec https://modal.com/blog/host-overhead-inference-efficiency and multimodal inference https://modal.com/blog/boosting-multimodal-inference-performance-by-greater-than-10-with-a-single-python-dictionary performance - our work on Flash Attention 4 kernels https://modal.com/blog/flash-attention-4-faster - Work with engineering to turn frontier serving techniques into products: primitives for disaggregation, fast weight refresh for models that keep training after deployment, observability for quality and latency in production, or even a next-generation inference engine - Help shape the research agenda None of the above is prescriptive; your work will help guide our future. YOU MAY BE A FIT IF: - You have a research-leaning or systems background in LLM inference, with work you can point to - You’re fluent in the LLM serving stack, from kernels and quantization up to schedulers and autoscaling - You have a record of shipping research or systems that other people build on, whether in a lab or in industry - You have the drive to independently take a research bet from idea to result, working in the open with the rest of the team - You’re able to work in person in our NYC or San Francisco office

Location: Malta As Sportsbook Manager, you will be responsible for developing and optimising the sportsbook proposition for the Greek market. This is a commercially focused role combining strong sportsbook and trading knowledge with ownership of our site-wide sportsbook promotional strategy. The role is split across two key areas: Sportsbook Proposition & Trading Collaboration : Ensuring our sportsbook offering remains competitive, relevant and commercially effective for Greek players. Sportsbook Promotions : Planning, developing, executing and evaluating open-to-all sportsbook promotions that drive engagement, turnover and profitability. You will work closely with Trading, Product, Tech, Marketing and CRM to deliver a competitive and engaging sports betting experience. Responsibilities: Own the Greek sportsbook promotional calendar, planning and executing site-wide campaigns around key sporting events and commercial opportunities. Develop and optimise sportsbook promotional mechanics, balancing customer appeal, competitiveness, engagement and profitability. Evaluate promotional performance and ROI, identifying opportunities to improve campaign effectiveness and commercial results. Collaborate closely with Trading to monitor odds competitiveness, market coverage, margins and the overall sportsbook offering for the Greek market. Monitor the Greek sports betting market and competitors, identifying opportunities to improve our promotions, product and proposition. Work with Product and Tech to test new functionalities, evaluate existing features and recommend improvements to the sportsbook experience. Collaborate with Marketing, CRM and Compliance to coordinate campaign execution, communications and promotional requirements. Analyse and report on sportsbook performance, including turnover, NGR, active players, promotional costs and key commercial initiatives. Essential Skills & Experience: 4+ years' experience in Sportsbook, ideally within commercial, promotions, proposition, product or operations roles. Demonstrable experience developing, managing and evaluating customer-facing sportsbook promotions. Strong sportsbook and trading literacy, including understanding of odds, margins, pricing, markets and sportsbook profitability. Strong knowledge of the Greek sports and betting market, customer behaviour, sporting events and competitive landscape. Commercial and analytical mindset, with the ability to evaluate performance, identify opportunities and make data-informed decisions. Ability to translate commercial opportunities into actionable initiatives and coordinate their execution across multiple teams. Excellent organisational and prioritisation skills, with a collaborative and hands-on approach. Fluent in written and spoken English. Native Greek language proficiency. Challenge accepted? By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

Location: Romania; Moldova About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups and established businesses in SaaS, MarTech, FinTech, and EdTech. Unlike traditional outsourcing, you’ll be placed directly with a client as a core member of their team—giving you real ownership, career progression, and long-term stability. Role Type: Full-time Engagement: Independent Contractor Languages: Fluent Romanian & English Job Summary We are looking for a high-energy, bilingual Sales Development Representative to spearhead our growth within the Romanian market. As the first point of contact for prospective partners, you will play a critical role in building our sales pipeline and expanding our international footprint. This is an ideal opportunity for a persuasive communicator who thrives in a fast-paced environment and wants to make a measurable impact on the team's bottom line. Key Responsibilities Research and identify high-potential B2B prospects within the Romanian market. Execute high-volume outbound prospecting via cold calling, email sequencing, and LinkedIn outreach. Qualify inbound leads and book discovery meetings for the Account Executive team. Articulate the company's value proposition clearly in both Romanian and English. Maintain meticulous records of lead interactions and pipeline stages within the CRM. Collaborate with marketing and sales leadership to refine messaging and outreach strategies. Requirements Native or professional-grade fluency in both Romanian and English (written and verbal). Proven experience in a Sales Development (SDR) or Business Development (BDR) role. Strong understanding of B2B sales cycles and lead qualification frameworks. Excellent communication skills with the ability to build rapport quickly over the phone. A self-starter mindset with a high level of resilience and a goal-oriented approach. Proficiency with modern sales tools (CRM, LinkedIn Sales Navigator, etc.). Prior experience selling SaaS or technical solutions. Established network within the Romanian business landscape. Experience working in a remote or distributed team environment. Benefits 🌎 Fully remote role with flexible working hours 🚀 Work with high-growth international companies 📈 Clear career progression to Account Executive and beyond 🎯 Performance-based bonuses and incentives 🤝 Direct hire with global clients (not outsourced) 🧠 Ongoing training, mentorship, and sales development support

Location: Lagos, Nigeria Who We Are We’re a passionate team determined to challenge the status quo and make financial inclusion count for the millions of under-banked individuals and small business owners in Nigeria. We provide loans, savings, and fixed deposit solutions to our customers. Our vision is to be the most convenient lending company, delivering outstanding service experience. The Role The Java Developer will join one of our core engineering teams Banking, Loans, Core Technology Platform, or Cards to design, develop, and maintain the backend systems that power our financial products and internal platforms. This role is ideal for a software engineer who is passionate about backend development, software craftsmanship, and building scalable, high-performance systems. You'll work alongside talented engineers in a collaborative environment that values clean architecture, code quality, testing, observability, and continuous improvement. What You Will Do • Design, develop, test, and maintain backend applications using Java and Spring Boot. • Build scalable, secure, and high-performing backend services that support business-critical financial products. • Develop and maintain RESTful APIs and microservices. • Write clean, maintainable, and production-ready code with a strong focus on • reliability and performance. • Collaborate with Product, Engineering, Infrastructure, and QA teams throughout the software development lifecycle. • Participate in architecture discussions, code reviews, and technical design sessions. • Monitor, troubleshoot, and optimize application performance. • Build and support distributed systems using modern cloud-native technologies. • Implement messaging and event-driven solutions using Kafka. • Contribute to engineering best practices, automated testing, and continuous improvement initiatives. Requirements What You Bring Educational Qualification • Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related discipline. Experience • Proven experience developing backend applications using Java. • Strong experience with Spring Boot or similar Java frameworks. • Experience building and maintaining distributed systems in production environments. • Experience working in cloud-native environments is highly desirable. • Experience in FinTech, banking, payments, lending, or other financial services is an added advantage. Professional Competencies • Strong proficiency in Java. • Solid experience with Spring Boot. • Experience developing RESTful APIs and microservices. • Working knowledge of AWS, preferably Amazon EKS. • Experience with MySQL or other relational databases. • Experience with Kafka and event-driven architectures. • Knowledge of Redis caching technologies. • Familiarity with monitoring and observability tools such as Grafana and Prometheus. • Understanding of software design principles, testing methodologies, and engineering best practices. • Strong analytical and problem-solving skills. • Excellent communication and collaboration skills. This Role Is Ideal For You If: • You enjoy building scalable backend systems. • You take pride in writing clean, maintainable, and well-tested code. • You are passionate about software engineering best practices and continuous improvement. • You enjoy solving complex technical problems. • You thrive in collaborative, fast-paced engineering teams. • You are excited by the opportunity to build products that power millions of financial transactions. You May Not Enjoy This Role If: • You prefer front-end or UI-focused development. • You are uncomfortable working with distributed systems and cloud technologies. • You dislike code reviews, testing, or maintaining production systems. • You prefer highly isolated work with minimal collaboration. • You are not interested in building reliable, scalable software. Benefits What's In It For You • Opportunity to work in an innovative fintech company with a global reach. • Exposure to modern technologies including Java, Spring Boot, AWS (EKS), MySQL, Kafka, Redis, Grafana, and Prometheus. • Opportunity to contribute to high-impact financial products used by millions of customers. • Collaborative engineering culture focused on technical excellence and continuous learning. • Engaging technical challenges with opportunities to influence product development. • Professional growth within a globally distributed engineering team. • Competitive compensation and excellent career development opportunities.

Location: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. Staff Backend Engineer - Adaptive Telemetry, Databases This is a remote position. We are looking for candidates in the Canadian time zones. What is Grafana Cloud? Grafana Cloud is our composable observability platform that integrates metrics, logs, traces, and profiles with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, Tempo, and Pyroscope – without the overhead of installing, maintaining and scaling their own observability stack. The Databases department owns and operates the telemetry databases that are Mimir for metrics , Loki for logs , Tempo for traces , and Pyroscope for profiles . We offer our databases as a Cloud service supporting Grafana Cloud. Adaptive Telemetry Group The Adaptive Telemetry group, part of the Databases department, has the mission of ensuring that all telemetry stored in our databases is worthy of attention. Under that mission, the group is responsible for the development of Adaptive Metrics , Adaptive Logs , Adaptive Traces and Adaptive Profiles. Our Adaptive Telemetry solutions give users the ability to control and optimize their telemetry data. These solutions ensure that data storage is optimized based on individual usage patterns, so only the most valuable data is retained. As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. What will you be doing: Drive technical strategy and roadmap. Proactively define the architectural vision, prioritize work that unlocks major product or platform improvements, and influence product and engineering decisions. Lead end-to-end delivery of large, cross-functional projects. Own planning, design, execution, rollout and long-term operation of large initiatives. Own architecture, reliability, performance and cost for critical systems. Make pragmatic architecture choices that balance scalability, availability, latency and cost while ensuring systems remain maintainable and evolvable. Define SLOs/SLIs and lead incident response. Establish measurable reliability targets, run high-severity incident response, lead blameless post-mortems, and drive systemic fixes and automation to prevent recurrence. Improve observability, automation and operational readiness. Champion telemetry, alerting, runbooks, capacity planning and automation efforts that reduce toil, speed debugging and lower MTTR. Align stakeholders and remove blockers. Coordinate across Product, Design and other teams to align priorities, negotiate tradeoffs, and unblock delivery for large initiatives. Mentor and grow engineering talent. Coach senior and mid-level engineers, lead design reviews, raise engineering standards, and help teammates make sound technical tradeoffs. Represent engineering internally and externally. Communicate technical strategy clearly to non-engineering stakeholders and represent the team in cross-team planning. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What makes you a great fit: You are a motivated self starter with a bias towards action. You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs Proven delivery of large distributed systems. Experience shipping and operating complex systems that span multiple teams, with clear evidence of technical leadership and impact. Strong systems-design instincts. Deep understanding of tradeoffs around latency, consistency, availability, scaling and cost. Hands-on cloud and platform experience. Solid experience with cloud-native architectures (microservices, containers/Kubernetes, IaC) and the operational practices that keep them healthy. Reliability and performance ownership. Comfortable defining SLOs/SLIs, doing capacity planning, tuning performance, and driving reliability work end-to-end. Excellent coding and design skills. You write clear, maintainable, well-tested code and can lead technical designs — we use Go, but Python/C/C++/Rust or similar translate well. Comfort with AI-assisted development. We embrace AI and agentic development so we expect you to be curious and comfortable using AI-powered developer tools and ideally have practical experience folding them into a team’s workflow. Experience with messaging and telemetry. Familiarity with streaming/messaging systems (e.g., Kafka) and observability tooling (Prometheus/Grafana or equivalents). Influence without authority. Ability to align cross-functional stakeholders, set priorities and drive outcomes in a remote-first environment. Strong communicator. Clear written and verbal communication that works across engineers and non-technical stakeholders. Compensation & Rewards: In Canada, the Base compensation range for this role is CAD 192,891 - CAD 231,469 .  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . Compensation ranges are country-specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. *Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. Staff Backend Engineer - Adaptive Telemetry, Databases This is a remote position. We are looking for candidates in the USA time zones. What is Grafana Cloud? Grafana Cloud is our composable observability platform that integrates metrics, logs, traces, and profiles with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, Tempo, and Pyroscope – without the overhead of installing, maintaining and scaling their own observability stack. The Databases department owns and operates the telemetry databases that are Mimir for metrics , Loki for logs , Tempo for traces , and Pyroscope for profiles . We offer our databases as a Cloud service supporting Grafana Cloud. Adaptive Telemetry Group The Adaptive Telemetry group, part of the Databases department, has the mission of ensuring that all telemetry stored in our databases is worthy of attention. Under that mission, the group is responsible for the development of Adaptive Metrics , Adaptive Logs , Adaptive Traces and Adaptive Profiles. Our Adaptive Telemetry solutions give users the ability to control and optimize their telemetry data. These solutions ensure that data storage is optimized based on individual usage patterns, so only the most valuable data is retained. As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. What will you be doing: Drive technical strategy and roadmap. Proactively define the architectural vision, prioritize work that unlocks major product or platform improvements, and influence product and engineering decisions. Lead end-to-end delivery of large, cross-functional projects. Own planning, design, execution, rollout and long-term operation of large initiatives. Own architecture, reliability, performance and cost for critical systems. Make pragmatic architecture choices that balance scalability, availability, latency and cost while ensuring systems remain maintainable and evolvable. Define SLOs/SLIs and lead incident response. Establish measurable reliability targets, run high-severity incident response, lead blameless post-mortems, and drive systemic fixes and automation to prevent recurrence. Improve observability, automation and operational readiness. Champion telemetry, alerting, runbooks, capacity planning and automation efforts that reduce toil, speed debugging and lower MTTR. Align stakeholders and remove blockers. Coordinate across Product, Design and other teams to align priorities, negotiate tradeoffs, and unblock delivery for large initiatives. Mentor and grow engineering talent. Coach senior and mid-level engineers, lead design reviews, raise engineering standards, and help teammates make sound technical tradeoffs. Represent engineering internally and externally. Communicate technical strategy clearly to non-engineering stakeholders and represent the team in cross-team planning. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What makes you a great fit: You are a motivated self starter with a bias towards action. You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs Proven delivery of large distributed systems. Experience shipping and operating complex systems that span multiple teams, with clear evidence of technical leadership and impact. Strong systems-design instincts. Deep understanding of tradeoffs around latency, consistency, availability, scaling and cost. Hands-on cloud and platform experience. Solid experience with cloud-native architectures (microservices, containers/Kubernetes, IaC) and the operational practices that keep them healthy. Reliability and performance ownership. Comfortable defining SLOs/SLIs, doing capacity planning, tuning performance, and driving reliability work end-to-end. Excellent coding and design skills. You write clear, maintainable, well-tested code and can lead technical designs — we use Go, but Python/C/C++/Rust or similar translate well. Comfort with AI-assisted development. We embrace AI and agentic development so we expect you to be curious and comfortable using AI-powered developer tools and ideally have practical experience folding them into a team’s workflow. Experience with messaging and telemetry. Familiarity with streaming/messaging systems (e.g., Kafka) and observability tooling (Prometheus/Grafana or equivalents). Influence without authority. Ability to align cross-functional stakeholders, set priorities and drive outcomes in a remote-first environment. Strong communicator. Clear written and verbal communication that works across engineers and non-technical stakeholders. Compensation & Rewards: In the United States, the Base compensation range for this role is USD 189,374 - USD 227,249 .  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . *Compensation ranges are country-specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .