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Location: Canada; United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE Docker Hardened Images (DHI) is Docker's catalogue of security-hardened, enterprise-grade container images and Helm charts, built to be minimal, up-to-date, and safe to deploy in regulated and security-conscious environments. We're looking for a Principal Software Engineer to set the long-term technical direction for this catalogue and shape how the broader container security ecosystem evolves inside and beyond Docker. At this level, you'll work across organizations, not just within one team. You'll set direction for major domains, resolve the highest-ambiguity problems in container supply chain security, and grow your impact through architectural leadership, cross-functional alignment, and influence on industry standards. This is a pure individual contributor role; influence comes through technical vision, design, and the ability to move organizations. _______________________________________________________________________ RESPONSIBILITIES - Own the architecture for DHI as a platform, making high-leverage decisions that define how images and Helm charts are authored, secured, distributed, and evolved across the entire catalogue and across Docker's broader product surface. - Define and drive multi-quarter technical roadmaps for the container hardening domain, balancing upstream velocity, supply chain security posture, customer compliance requirements, and long-term catalogue scalability. - Identify systemic patterns from customer, operational, and upstream signals and translate them into architectural changes that span the catalogue, not just individual images or charts. - Build alignment across teams and executives on technical strategy, tradeoffs, and sequencing, including product, security, infrastructure, and customer-facing functions. - Represent Docker as a trusted technical voice in escalations, key enterprise customer engagements, and upstream OSS communities on issues that shape the future of secure container delivery. - Set conventions and standards at scale, defining the patterns others build within for image definition, Helm chart adaptation, hardening strategy, and supply chain tooling (Sigstore, SBOM, SLSA), and evolving those standards as the ecosystem changes. - Drive the hardest, most ambiguous packaging problems where the right answer requires reasoning across upstream dynamics, security tradeoffs, multi-arch constraints, and customer impact simultaneously. - Shape the integration test infrastructure and developer tooling strategy so that DHI's engineering platform scales with the catalogue and raises quality across the team. - Mentor and raise the technical ceiling for staff and senior engineers across the org, through review, design, and well-chosen architectural decisions that create durable leverage. - Take part in the paid on-call rotation; respond to incidents, debug production issues, and drive systemic improvements in reliability. _______________________________________________________________________ QUALIFICATIONS - 10+ years of backend engineering experience, including extensive work on production-grade, distributed systems at scale. - Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. - Ability to set multi-quarter technical roadmaps and align stakeholders (engineering, product, and executives) on strategy and tradeoffs. - Deep expertise in the container and Kubernetes ecosystem: you have strong, grounded opinions about cert-manager, kyverno, grafana, istio, and similar projects, and you can reason about tradeoffs at the ecosystem level, not just the image level. - Mastery of container supply chain security concepts (provenance, attestation, SBOM, signing, SLSA) and experience driving posture decisions across an organization rather than implementing them on a single project. - Strong software engineering fundamentals: code review, testing, source control, CI/CD, and Go sufficient to shape infrastructure and harness design. - Track record of technical influence without authority across multiple teams or organizations, raising quality through design docs, standards, review, and mentorship. - Experience navigating upstream OSS communities as a decision-maker, representing a downstream organization's requirements and shaping upstream direction on security-relevant issues. - Comfort working across remote, distributed teams and communicating complex technical strategy clearly to both technical and non-technical audiences. BONUS BUT NOT REQUIRED - Experience as a package maintainer at a Linux distribution, Homebrew, or comparable ecosystem. - Hands-on experience implementing or operationalizing supply chain tooling (Sigstore, SBOM, SLSA) at org scale. - Experience in regulated environments (FedRAMP, FIPS, PCI) with direct exposure to compliance requirements shaping engineering decisions. - Prior Principal or Distinguished IC experience on a platform, security, or developer-tools team. - Experience engaging directly with enterprise customers on container security architecture. _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS - Align with leadership on the most critical org-wide technical risks and opportunities in container supply chain security. - Develop a point of view on DHI's current architectural constraints and where the highest-leverage interventions are. - Begin mapping the cross-functional landscape: product priorities, upstream pressures, customer compliance signals, and engineering gaps. FIRST 90 DAYS - Drive an architectural decision that unblocks multiple teams and reduces systemic risk across the catalogue. - Establish a feedback loop from customer, operational, and upstream signals into the multi-quarter roadmap. - Engage upstream OSS communities on at least one DHI-relevant issue with meaningful influence on direction. FIRST YEAR - Deliver a major platform or standards evolution with broad adoption across DHI and adjacent teams. - Create durable alignment across engineering, product, and security on catalogue architecture, supply chain posture, and hardening strategy. - Raise the technical ceiling for the engineers around you, measurably improving review quality, architectural consistency, and the team's ability to operate independently at a higher level. Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________ COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. Canada: CA$245,913 – CA$397,139 base United States: $180,500 – $291,500 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Annapolis Junction, MD, United States Job Title Principal‑Level Software Engineer (Java, Python) Why IDS? IDS believes in resolving conflict, building innovative approaches to do so. Combining operational expertise with an intimate understanding of today’s greatest challenges, we bring our customers the solutions required for success in a complex and multidimensional world. IDS tailors solutions for a diverse range of government, military, nonprofit, and public‑sector clients. Locations Annapolis Junction, MD Shifts Available Please note, candidates must be flexible. Shift times are general hours; some projects may require earlier or later reporting based on customer requirements. Job Description IDS is seeking a Principal‑Level Software Engineer to create custom analytics that perform at scale. The engineer will work closely with data scientists and end users to develop analytic tools that support discovery and tradecraft around critical global challenges and operationalize data science within customer environments. Key Duties • Work directly with data scientists and mission analysts to solve complex strategic problems • Perform end‑to‑end software engineering to prototype, develop, integrate, test, and deploy analytic tools • Integrate tools and tradecraft into customer corporate architectures • Support the operationalization of data science solutions at scale Requirements • Bachelor’s degree with eleven (11) years of relevant experience, or equivalent • Strong experience with Jupyter Notebooks, Java MapReduce, and Python PySpark • Strong experience with statistical analysis and machine learning fundamentals • Strong experience with customer tools, architecture, data flow, and big‑data environments • Proficiency with Jira, Confluence, and GitLab • Experience working in Agile development environments • Experience with end‑to‑end software development processes (requirements, design, implementation, testing, integration, deployment, and maintenance) • Experience with data science, Machine Learning (ML), Artificial Intelligence (AI), and Large Language Models (LLMs) • Active TS/SCI with Polygraph Compensation • Salary range: $155,000 – $175,000 • Benefits

Location: Serbia We're a fast-growing Series A startup ($34M raised, $10.3M ARR, 75% gross margin) building the unified marketing intelligence platform for enterprises like Spotify, Asus, and Colgate. Our Platform Team owns the core data pipeline infrastructure powering 500+ integrations — and we're now rebuilding how that work gets done, with AI at the center. We're looking for a Principal Engineer who can set the technical direction for AI-assisted engineering across the Platform Team — someone who doesn't just use AI tools, but defines how they're used responsibly at scale. About the Role You'll be the architectural voice on the Platform Team, shaping how we design, build, and evolve our core Python-based extraction and load infrastructure. More than that, you'll own the engineering practices shift: defining how agentic coding, AI-assisted development, and LLM tooling integrate into our delivery process without sacrificing reliability or maintainability. This is a hands-on role — you'll be writing code, reviewing architecture, and mentoring engineers, not just advising. Responsibilities Own platform architecture: design and evolve data extraction, load, and pipeline systems serving 500+ integrations at scale Identify architectural bottlenecks and drive performance/reliability improvements at scale (Kubernetes, distributed systems, ClickHouse/PostgreSQL) Lead modernization of legacy systems into scalable, AI-native infrastructure Design and implement agentic development frameworks for codebase maintenance and continuous improvement — owning the full loop from AI-assisted development to automated acceptance and rollout, with proper validation, testing, and architectural guardrails Make and document key technical decisions; set the bar for code quality, system reliability, and performance Mentor and level up engineers on AI-assisted development practices — help them ship faster without introducing hidden risk Collaborate cross-functionally with product and AI teams on agentic framework rollout and new integration capabilities Requirements 7+ years of backend engineering (hands-on programming), with at least 2 years in a principal/architect-level role owning production systems You've designed and scaled complex systems, not just maintained them Hands-on experience with AI-assisted development (Claude Code, agentic coding) — you ship with it, know its limits and where they break, and have built agentic frameworks for code maintenance and rollout Strong distributed systems background: Kubernetes, workflow orchestration (e.g. Temporal), message queues (e.g. RabbitMQ) Experience building secure systems that are hard to break, hard to breach, and resilient Experience with reliability practices at scale: observability, alerting, incident response Solid SQL and query optimization across PostgreSQL and ClickHouse Comfortable with ambiguity and high-velocity, fast-shifting priorities — we move like a startup, not a committee Ability to work within EST timezone Fluency in English Nice to Have Track record of defining engineering standards and driving adoption across a team Experience migrating legacy pipeline systems Background in data integration or ETL infrastructure What We Offer Remote-first environment Direct impact on platform architecture — your decisions matter Modern AI-native tech stack with real freedom to experiment 20 PTO days + US holidays Stock options Professional development reimbursement Optional relocation assistance to Latin America after trial period

Location: Georgia We're a fast-growing Series A startup ($34M raised, $10.3M ARR, 75% gross margin) building the unified marketing intelligence platform for enterprises like Spotify, Asus, and Colgate. Our Platform Team owns the core data pipeline infrastructure powering 500+ integrations — and we're now rebuilding how that work gets done, with AI at the center. We're looking for a Principal Engineer who can set the technical direction for AI-assisted engineering across the Platform Team — someone who doesn't just use AI tools, but defines how they're used responsibly at scale. About the Role You'll be the architectural voice on the Platform Team, shaping how we design, build, and evolve our core Python-based extraction and load infrastructure. More than that, you'll own the engineering practices shift: defining how agentic coding, AI-assisted development, and LLM tooling integrate into our delivery process without sacrificing reliability or maintainability. This is a hands-on role — you'll be writing code, reviewing architecture, and mentoring engineers, not just advising. Responsibilities Own platform architecture: design and evolve data extraction, load, and pipeline systems serving 500+ integrations at scale Identify architectural bottlenecks and drive performance/reliability improvements at scale (Kubernetes, distributed systems, ClickHouse/PostgreSQL) Lead modernization of legacy systems into scalable, AI-native infrastructure Design and implement agentic development frameworks for codebase maintenance and continuous improvement — owning the full loop from AI-assisted development to automated acceptance and rollout, with proper validation, testing, and architectural guardrails Make and document key technical decisions; set the bar for code quality, system reliability, and performance Mentor and level up engineers on AI-assisted development practices — help them ship faster without introducing hidden risk Collaborate cross-functionally with product and AI teams on agentic framework rollout and new integration capabilities Requirements 7+ years of backend engineering (hands-on programming), with at least 2 years in a principal/architect-level role owning production systems You've designed and scaled complex systems, not just maintained them Hands-on experience with AI-assisted development (Claude Code, agentic coding) — you ship with it, know its limits and where they break, and have built agentic frameworks for code maintenance and rollout Strong distributed systems background: Kubernetes, workflow orchestration (e.g. Temporal), message queues (e.g. RabbitMQ) Experience building secure systems that are hard to break, hard to breach, and resilient Experience with reliability practices at scale: observability, alerting, incident response Solid SQL and query optimization across PostgreSQL and ClickHouse Comfortable with ambiguity and high-velocity, fast-shifting priorities — we move like a startup, not a committee Ability to work within EST timezone Fluency in English Nice to Have Track record of defining engineering standards and driving adoption across a team Experience migrating legacy pipeline systems Background in data integration or ETL infrastructure What We Offer Remote-first environment Direct impact on platform architecture — your decisions matter Modern AI-native tech stack with real freedom to experiment 20 PTO days + US holidays Stock options Professional development reimbursement Optional relocation assistance to Latin America after trial period

Location: Armenia We're a fast-growing Series A startup ($34M raised, $10.3M ARR, 75% gross margin) building the unified marketing intelligence platform for enterprises like Spotify, Asus, and Colgate. Our Platform Team owns the core data pipeline infrastructure powering 500+ integrations — and we're now rebuilding how that work gets done, with AI at the center. We're looking for a Principal Engineer who can set the technical direction for AI-assisted engineering across the Platform Team — someone who doesn't just use AI tools, but defines how they're used responsibly at scale. About the Role You'll be the architectural voice on the Platform Team, shaping how we design, build, and evolve our core Python-based extraction and load infrastructure. More than that, you'll own the engineering practices shift: defining how agentic coding, AI-assisted development, and LLM tooling integrate into our delivery process without sacrificing reliability or maintainability. This is a hands-on role — you'll be writing code, reviewing architecture, and mentoring engineers, not just advising. Responsibilities Own platform architecture: design and evolve data extraction, load, and pipeline systems serving 500+ integrations at scale Identify architectural bottlenecks and drive performance/reliability improvements at scale (Kubernetes, distributed systems, ClickHouse/PostgreSQL) Lead modernization of legacy systems into scalable, AI-native infrastructure Design and implement agentic development frameworks for codebase maintenance and continuous improvement — owning the full loop from AI-assisted development to automated acceptance and rollout, with proper validation, testing, and architectural guardrails Make and document key technical decisions; set the bar for code quality, system reliability, and performance Mentor and level up engineers on AI-assisted development practices — help them ship faster without introducing hidden risk Collaborate cross-functionally with product and AI teams on agentic framework rollout and new integration capabilities Requirements 7+ years of backend engineering (hands-on programming), with at least 2 years in a principal/architect-level role owning production systems You've designed and scaled complex systems, not just maintained them Hands-on experience with AI-assisted development (Claude Code, agentic coding) — you ship with it, know its limits and where they break, and have built agentic frameworks for code maintenance and rollout Strong distributed systems background: Kubernetes, workflow orchestration (e.g. Temporal), message queues (e.g. RabbitMQ) Experience building secure systems that are hard to break, hard to breach, and resilient Experience with reliability practices at scale: observability, alerting, incident response Solid SQL and query optimization across PostgreSQL and ClickHouse Comfortable with ambiguity and high-velocity, fast-shifting priorities — we move like a startup, not a committee Ability to work within EST timezone Fluency in English Nice to Have Track record of defining engineering standards and driving adoption across a team Experience migrating legacy pipeline systems Background in data integration or ETL infrastructure What We Offer Remote-first environment Direct impact on platform architecture — your decisions matter Modern AI-native tech stack with real freedom to experiment 20 PTO days + US holidays Stock options Professional development reimbursement Optional relocation assistance to Latin America after trial period

Location: Brazil We're a fast-growing Series A startup ($34M raised, $10.3M ARR, 75% gross margin) building the unified marketing intelligence platform for enterprises like Spotify, Asus, and Colgate. Our Platform Team owns the core data pipeline infrastructure powering 500+ integrations — and we're now rebuilding how that work gets done, with AI at the center. We're looking for a Principal Engineer who can set the technical direction for AI-assisted engineering across the Platform Team — someone who doesn't just use AI tools, but defines how they're used responsibly at scale. About the Role You'll be the architectural voice on the Platform Team, shaping how we design, build, and evolve our core Python-based extraction and load infrastructure. More than that, you'll own the engineering practices shift: defining how agentic coding, AI-assisted development, and LLM tooling integrate into our delivery process without sacrificing reliability or maintainability. This is a hands-on role — you'll be writing code, reviewing architecture, and mentoring engineers, not just advising. Responsibilities Own platform architecture: design and evolve data extraction, load, and pipeline systems serving 500+ integrations at scale Identify architectural bottlenecks and drive performance/reliability improvements at scale (Kubernetes, distributed systems, ClickHouse/PostgreSQL) Lead modernization of legacy systems into scalable, AI-native infrastructure Design and implement agentic development frameworks for codebase maintenance and continuous improvement — owning the full loop from AI-assisted development to automated acceptance and rollout, with proper validation, testing, and architectural guardrails Make and document key technical decisions; set the bar for code quality, system reliability, and performance Mentor and level up engineers on AI-assisted development practices — help them ship faster without introducing hidden risk Collaborate cross-functionally with product and AI teams on agentic framework rollout and new integration capabilities Requirements 7+ years of backend engineering (hands-on programming), with at least 2 years in a principal/architect-level role owning production systems You've designed and scaled complex systems, not just maintained them Hands-on experience with AI-assisted development (Claude Code, agentic coding) — you ship with it, know its limits and where they break, and have built agentic frameworks for code maintenance and rollout Strong distributed systems background: Kubernetes, workflow orchestration (e.g. Temporal), message queues (e.g. RabbitMQ) Experience building secure systems that are hard to break, hard to breach, and resilient Experience with reliability practices at scale: observability, alerting, incident response Solid SQL and query optimization across PostgreSQL and ClickHouse Comfortable with ambiguity and high-velocity, fast-shifting priorities — we move like a startup, not a committee Ability to work within EST timezone Fluency in English Nice to Have Track record of defining engineering standards and driving adoption across a team Experience migrating legacy pipeline systems Background in data integration or ETL infrastructure What We Offer Remote-first environment Direct impact on platform architecture — your decisions matter Modern AI-native tech stack with real freedom to experiment 20 PTO days + US holidays Stock options Professional development reimbursement Optional relocation assistance to Latin America after trial period

Location: Argentina We're a fast-growing Series A startup ($34M raised, $10.3M ARR, 75% gross margin) building the unified marketing intelligence platform for enterprises like Spotify, Asus, and Colgate. Our Platform Team owns the core data pipeline infrastructure powering 500+ integrations — and we're now rebuilding how that work gets done, with AI at the center. We're looking for a Principal Engineer who can set the technical direction for AI-assisted engineering across the Platform Team — someone who doesn't just use AI tools, but defines how they're used responsibly at scale. About the Role You'll be the architectural voice on the Platform Team, shaping how we design, build, and evolve our core Python-based extraction and load infrastructure. More than that, you'll own the engineering practices shift: defining how agentic coding, AI-assisted development, and LLM tooling integrate into our delivery process without sacrificing reliability or maintainability. This is a hands-on role — you'll be writing code, reviewing architecture, and mentoring engineers, not just advising. Responsibilities Own platform architecture: design and evolve data extraction, load, and pipeline systems serving 500+ integrations at scale Identify architectural bottlenecks and drive performance/reliability improvements at scale (Kubernetes, distributed systems, ClickHouse/PostgreSQL) Lead modernization of legacy systems into scalable, AI-native infrastructure Design and implement agentic development frameworks for codebase maintenance and continuous improvement — owning the full loop from AI-assisted development to automated acceptance and rollout, with proper validation, testing, and architectural guardrails Make and document key technical decisions; set the bar for code quality, system reliability, and performance Mentor and level up engineers on AI-assisted development practices — help them ship faster without introducing hidden risk Collaborate cross-functionally with product and AI teams on agentic framework rollout and new integration capabilities Requirements 7+ years of backend engineering (hands-on programming), with at least 2 years in a principal/architect-level role owning production systems You've designed and scaled complex systems, not just maintained them Hands-on experience with AI-assisted development (Claude Code, agentic coding) — you ship with it, know its limits and where they break, and have built agentic frameworks for code maintenance and rollout Strong distributed systems background: Kubernetes, workflow orchestration (e.g. Temporal), message queues (e.g. RabbitMQ) Experience building secure systems that are hard to break, hard to breach, and resilient Experience with reliability practices at scale: observability, alerting, incident response Solid SQL and query optimization across PostgreSQL and ClickHouse Comfortable with ambiguity and high-velocity, fast-shifting priorities — we move like a startup, not a committee Ability to work within EST timezone Fluency in English Nice to Have Track record of defining engineering standards and driving adoption across a team Experience migrating legacy pipeline systems Background in data integration or ETL infrastructure What We Offer Remote-first environment Direct impact on platform architecture — your decisions matter Modern AI-native tech stack with real freedom to experiment 20 PTO days + US holidays Stock options Professional development reimbursement Optional relocation assistance to Latin America after trial period

• Design and build a deterministic factory simulation that scales to hundreds of thousands of player-placed buildings. • Own the sim architecture: data layout, tick model, threading, and serialisation format.

Identify and recruit new strategic Global SI partners to drive revenue growth. Enable and activate existing GSI partners through training, planning and joint selling activities.

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: Miami, United States Workplace: on-site Our client, a small, student-centered K–12 private school, is seeking a Principal who is approachable, adaptable, and ready to become an active part of its community! The ideal candidate combines clear expectations with compassion, communicates thoughtfully, and takes time to understand the school’s culture before introducing changes. Serving up to 150 students, including preschool, the school offers small classes and an individualized approach to education. You’ll work directly with leadership, build meaningful relationships with families and staff, and see the impact of your work every day. This is a non-teaching administrative role with the potential to grow into a School Director position . Responsibilities ​​Partner with school leadership to oversee daily operations and maintain a supportive, organized learning environment. ​​Guide and support teachers and staff, setting clear expectations, building trust, and encouraging collaboration. ​​Build strong relationships with parents through proactive communication and thoughtful resolution of concerns. ​​Support student well-being and address behavioral concerns with care, clear boundaries, and an individualized approach. ​​Learn and uphold the school’s established practices while identifying opportunities for improvement. ​​Help strengthen student retention, family satisfaction, and school growth. ​​Take on increasing leadership responsibility as familiarity with the school develops. Relevant experience in K–12 school administration, educational leadership, or a comparable role. ​​Experience supporting staff and working closely with students and families. ​​Strong communication, organizational, and problem-solving skills. ​​A warm, approachable leadership style, with the confidence to handle difficult conversations and make sound decisions. ​​Adaptability, openness to feedback, and a willingness to learn from existing leadership. ​​Respect for an established school culture and a collaborative approach to change. ​​Commitment to student-centered education and supportive discipline. Why Join? ​​Make a visible difference in a small school where your contributions directly affect students, families, and teachers. ​​Work closely with leadership and play an active role in the school’s continued development. ​​Build meaningful relationships in a close-knit community with small classes. ​​Grow into a School Director role based on performance and organizational needs.

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. The Opportunity: Grafana Labs is looking for a technically fluent engineer who loves building powerful demos, explaining complex systems clearly, and helping SRE and platform engineering leaders understand the value of our open approach to observability. As Grafana’s offering shifts from dashboards to industry-leading agentic observability, our Product Marketing team is responsible for closing the gap between what our products can do and how customers understand that value. That means building clear, consistent positioning, enabling sellers with trustworthy technical narratives, and creating content that helps Platform Engineering teams quickly grasp why Grafana Cloud is the right choice for them. As a Technical Product Marketer you will play a critical part in that transformation. You’ll be the hands-on engineer who brings our technical story to life for buyers, not just practitioners. You’ll build core demos, run technical workshops and webinars, and act as the technical bridge between our Product and Sales orgs. Your work will help SRE and platform engineering leaders evaluate Grafana with confidence, equip sales engineers with better tools and talk tracks, and ensure our technical value shows up clearly and consistently across the entire customer journey. This is a unique chance to shape how Grafana tells its story as we evolve our positioning in the AI era, strengthen seller enablement, and build a repeatable system for communicating product value. What You'll Be Doing: Build strategic, buyer-focused demos, videos, workshops, and webinars Create and maintain polished, narrative-driven demos that highlight Grafana’s value for SRE and platform engineering leaders. Record high-quality technical demo videos and walkthroughs in partnership with our video and content teams. Lead webinars, workshops, and technical sessions designed for evaluators. Teach customers not just how Grafana works, but why our approach is differentiated and valuable. Use AI tools to generate variations, summaries, and reusable assets that scale technical content across channels. Enable Solutions (Sales) Engineers with clear, consistent technical storytelling Serve as PMM’s technical liaison to the SE org, ensuring consistent messaging and demo guidance. Produce technical enablement assets, value-driven talk tracks, competitive narratives, and demo best practices. Help SEs and sellers communicate Grafana’s story with clarity, confidence, and differentiation. Collaborate with PMMs to drive technical buyer engagement across high-impact channels Partner with PMMs to identify the most important buyer personas, problems, and technical messages, and help shape the content strategy needed to reach them. Extend technical narratives into impactful buyer-facing channels including analyst briefings (Gartner, Forrester), industry forums, podcasts, conferences, and online technical communities. Bring a technical perspective to PMM planning—helping ensure our content, campaigns, and enablement reflect the real challenges and priorities of SREs and engineering leaders. Use automation & AI to scale technical content Partner with software engineers to streamline demo setup, content workflows, and asset updates through workflows, agents, scripts, and AI-driven tools. Use automation to make technical content more repeatable, discoverable, and scalable across teams. What Makes You a Great Fit: 5+ years in a technical role (solutions engineering, SRE, DevOps, backend engineering, technical PMM, or similar). Interest and ability to travel to training and customer events 10-12 weeks per year. Strong understanding of observability concepts and the needs of SRE/platform teams. Ability to translate deep technical concepts into clear, value-focused stories. Experience presenting technical content through demos, workshops, or webinars. Excellent written and verbal communication, with a crisp, structured, persuasive style. Strong cross-functional collaboration; comfort working with PMM, Product, SEs, DevRel, and Field Engineering. High ownership mindset with the ability to drive projects from concept to completion. Comfort with light scripting or workflow automation. Bonus Points For: Hands-on experience with Grafana, Prometheus, Loki, Mimir, Tempo, or similar observability tools, or a background in Observability or Platform Engineering. Prior experience in Sales Engineering, DevRel, or technical product marketing. Familiarity with demo environment automation or infrastructure-as-code tools. Exceptional live presentation or workshop facilitation skills. Compensation & Rewards: In the US, the base compensation range for this role is $183,858 - $220,630. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *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 Kingdom (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. The Opportunity: Grafana Labs is looking for a technically fluent engineer who loves building powerful demos, explaining complex systems clearly, and helping SRE and platform engineering leaders understand the value of our open approach to observability. As Grafana’s offering shifts from dashboards to industry-leading agentic observability, our Product Marketing team is responsible for closing the gap between what our products can do and how customers understand that value. That means building clear, consistent positioning, enabling sellers with trustworthy technical narratives, and creating content that helps Platform Engineering teams quickly grasp why Grafana Cloud is the right choice for them. As a Technical Product Marketer you will play a critical part in that transformation. You’ll be the hands-on engineer who brings our technical story to life for buyers, not just practitioners. You’ll build core demos, run technical workshops and webinars, and act as the technical bridge between our Product and Sales orgs. Your work will help SRE and platform engineering leaders evaluate Grafana with confidence, equip sales engineers with better tools and talk tracks, and ensure our technical value shows up clearly and consistently across the entire customer journey. This is a unique chance to shape how Grafana tells its story as we evolve our positioning in the AI era, strengthen seller enablement, and build a repeatable system for communicating product value. What You'll Be Doing: Build strategic, buyer-focused demos, videos, workshops, and webinars Create and maintain polished, narrative-driven demos that highlight Grafana’s value for SRE and platform engineering leaders. Record high-quality technical demo videos and walkthroughs in partnership with our video and content teams. Lead webinars, workshops, and technical sessions designed for evaluators. Teach customers not just how Grafana works, but why our approach is differentiated and valuable. Use AI tools to generate variations, summaries, and reusable assets that scale technical content across channels. Enable Solutions (Sales) Engineers with clear, consistent technical storytelling Serve as PMM’s technical liaison to the SE org, ensuring consistent messaging and demo guidance. Produce technical enablement assets, value-driven talk tracks, competitive narratives, and demo best practices. Help SEs and sellers communicate Grafana’s story with clarity, confidence, and differentiation. Collaborate with PMMs to drive technical buyer engagement across high-impact channels Partner with PMMs to identify the most important buyer personas, problems, and technical messages, and help shape the content strategy needed to reach them. Extend technical narratives into impactful buyer-facing channels including analyst briefings (Gartner, Forrester), industry forums, podcasts, conferences, and online technical communities. Bring a technical perspective to PMM planning—helping ensure our content, campaigns, and enablement reflect the real challenges and priorities of SREs and engineering leaders. Use automation & AI to scale technical content Partner with software engineers to streamline demo setup, content workflows, and asset updates through workflows, agents, scripts, and AI-driven tools. Use automation to make technical content more repeatable, discoverable, and scalable across teams. What Makes You a Great Fit: 5+ years in a technical role (solutions engineering, SRE, DevOps, backend engineering, technical PMM, or similar). Interest and ability to travel to training and customer events 10-12 weeks per year. Strong understanding of observability concepts and the needs of SRE/platform teams. Ability to translate deep technical concepts into clear, value-focused stories. Experience presenting technical content through demos, workshops, or webinars. Excellent written and verbal communication, with a crisp, structured, persuasive style. Strong cross-functional collaboration; comfort working with PMM, Product, SEs, DevRel, and Field Engineering. High ownership mindset with the ability to drive projects from concept to completion. Comfort with light scripting or workflow automation. Bonus Points For: Hands-on experience with Grafana, Prometheus, Loki, Mimir, Tempo, or similar observability tools, or a background in Observability or Platform Engineering. Prior experience in Sales Engineering, DevRel, or technical product marketing. Familiarity with demo environment automation or infrastructure-as-code tools. Exceptional live presentation or workshop facilitation skills. Compensation & Rewards: In the UK, the base compensation range for this role is GBP 103,958 - GBP 124,750 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *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: Sweden (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. The Opportunity: Grafana Labs is looking for a technically fluent engineer who loves building powerful demos, explaining complex systems clearly, and helping SRE and platform engineering leaders understand the value of our open approach to observability. As Grafana’s offering shifts from dashboards to industry-leading agentic observability, our Product Marketing team is responsible for closing the gap between what our products can do and how customers understand that value. That means building clear, consistent positioning, enabling sellers with trustworthy technical narratives, and creating content that helps Platform Engineering teams quickly grasp why Grafana Cloud is the right choice for them. As a Technical Product Marketer you will play a critical part in that transformation. You’ll be the hands-on engineer who brings our technical story to life for buyers, not just practitioners. You’ll build core demos, run technical workshops and webinars, and act as the technical bridge between our Product and Sales orgs. Your work will help SRE and platform engineering leaders evaluate Grafana with confidence, equip sales engineers with better tools and talk tracks, and ensure our technical value shows up clearly and consistently across the entire customer journey. This is a unique chance to shape how Grafana tells its story as we evolve our positioning in the AI era, strengthen seller enablement, and build a repeatable system for communicating product value. What You'll Be Doing: Build strategic, buyer-focused demos, videos, workshops, and webinars Create and maintain polished, narrative-driven demos that highlight Grafana’s value for SRE and platform engineering leaders. Record high-quality technical demo videos and walkthroughs in partnership with our video and content teams. Lead webinars, workshops, and technical sessions designed for evaluators. Teach customers not just how Grafana works, but why our approach is differentiated and valuable. Use AI tools to generate variations, summaries, and reusable assets that scale technical content across channels. Enable Solutions (Sales) Engineers with clear, consistent technical storytelling Serve as PMM’s technical liaison to the SE org, ensuring consistent messaging and demo guidance. Produce technical enablement assets, value-driven talk tracks, competitive narratives, and demo best practices. Help SEs and sellers communicate Grafana’s story with clarity, confidence, and differentiation. Collaborate with PMMs to drive technical buyer engagement across high-impact channels Partner with PMMs to identify the most important buyer personas, problems, and technical messages, and help shape the content strategy needed to reach them. Extend technical narratives into impactful buyer-facing channels including analyst briefings (Gartner, Forrester), industry forums, podcasts, conferences, and online technical communities. Bring a technical perspective to PMM planning—helping ensure our content, campaigns, and enablement reflect the real challenges and priorities of SREs and engineering leaders. Use automation & AI to scale technical content Partner with software engineers to streamline demo setup, content workflows, and asset updates through workflows, agents, scripts, and AI-driven tools. Use automation to make technical content more repeatable, discoverable, and scalable across teams. What Makes You a Great Fit: 5+ years in a technical role (solutions engineering, SRE, DevOps, backend engineering, technical PMM, or similar). Interest and ability to travel to training and customer events 10-12 weeks per year. Strong understanding of observability concepts and the needs of SRE/platform teams. Ability to translate deep technical concepts into clear, value-focused stories. Experience presenting technical content through demos, workshops, or webinars. Excellent written and verbal communication, with a crisp, structured, persuasive style. Strong cross-functional collaboration; comfort working with PMM, Product, SEs, DevRel, and Field Engineering. High ownership mindset with the ability to drive projects from concept to completion. Comfort with light scripting or workflow automation. Bonus Points For: Hands-on experience with Grafana, Prometheus, Loki, Mimir, Tempo, or similar observability tools, or a background in Observability or Platform Engineering. Prior experience in Sales Engineering, DevRel, or technical product marketing. Familiarity with demo environment automation or infrastructure-as-code tools. Exceptional live presentation or workshop facilitation skills. Compensation & Rewards: In Sweden, the base compensation range for this role is SEK 878,578 - SEK 1,054,294. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *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: Spain (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. The Opportunity: Grafana Labs is looking for a technically fluent engineer who loves building powerful demos, explaining complex systems clearly, and helping SRE and platform engineering leaders understand the value of our open approach to observability. As Grafana’s offering shifts from dashboards to industry-leading agentic observability, our Product Marketing team is responsible for closing the gap between what our products can do and how customers understand that value. That means building clear, consistent positioning, enabling sellers with trustworthy technical narratives, and creating content that helps Platform Engineering teams quickly grasp why Grafana Cloud is the right choice for them. As a Technical Product Marketer you will play a critical part in that transformation. You’ll be the hands-on engineer who brings our technical story to life for buyers, not just practitioners. You’ll build core demos, run technical workshops and webinars, and act as the technical bridge between our Product and Sales orgs. Your work will help SRE and platform engineering leaders evaluate Grafana with confidence, equip sales engineers with better tools and talk tracks, and ensure our technical value shows up clearly and consistently across the entire customer journey. This is a unique chance to shape how Grafana tells its story as we evolve our positioning in the AI era, strengthen seller enablement, and build a repeatable system for communicating product value. What You'll Be Doing: Build strategic, buyer-focused demos, videos, workshops, and webinars Create and maintain polished, narrative-driven demos that highlight Grafana’s value for SRE and platform engineering leaders. Record high-quality technical demo videos and walkthroughs in partnership with our video and content teams. Lead webinars, workshops, and technical sessions designed for evaluators. Teach customers not just how Grafana works, but why our approach is differentiated and valuable. Use AI tools to generate variations, summaries, and reusable assets that scale technical content across channels. Enable Solutions (Sales) Engineers with clear, consistent technical storytelling Serve as PMM’s technical liaison to the SE org, ensuring consistent messaging and demo guidance. Produce technical enablement assets, value-driven talk tracks, competitive narratives, and demo best practices. Help SEs and sellers communicate Grafana’s story with clarity, confidence, and differentiation. Collaborate with PMMs to drive technical buyer engagement across high-impact channels Partner with PMMs to identify the most important buyer personas, problems, and technical messages, and help shape the content strategy needed to reach them. Extend technical narratives into impactful buyer-facing channels including analyst briefings (Gartner, Forrester), industry forums, podcasts, conferences, and online technical communities. Bring a technical perspective to PMM planning—helping ensure our content, campaigns, and enablement reflect the real challenges and priorities of SREs and engineering leaders. Use automation & AI to scale technical content Partner with software engineers to streamline demo setup, content workflows, and asset updates through workflows, agents, scripts, and AI-driven tools. Use automation to make technical content more repeatable, discoverable, and scalable across teams. What Makes You a Great Fit: 5+ years in a technical role (solutions engineering, SRE, DevOps, backend engineering, technical PMM, or similar). Interest and ability to travel to training and customer events 10-12 weeks per year. Strong understanding of observability concepts and the needs of SRE/platform teams. Ability to translate deep technical concepts into clear, value-focused stories. Experience presenting technical content through demos, workshops, or webinars. Excellent written and verbal communication, with a crisp, structured, persuasive style. Strong cross-functional collaboration; comfort working with PMM, Product, SEs, DevRel, and Field Engineering. High ownership mindset with the ability to drive projects from concept to completion. Comfort with light scripting or workflow automation. Bonus Points For: Hands-on experience with Grafana, Prometheus, Loki, Mimir, Tempo, or similar observability tools, or a background in Observability or Platform Engineering. Prior experience in Sales Engineering, DevRel, or technical product marketing. Familiarity with demo environment automation or infrastructure-as-code tools. Exceptional live presentation or workshop facilitation skills. Compensation & Rewards: In Spain, the base compensation range for this role is EUR 94,025 - EUR 112,830. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *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: Republic of Ireland (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. The Opportunity: Grafana Labs is looking for a technically fluent engineer who loves building powerful demos, explaining complex systems clearly, and helping SRE and platform engineering leaders understand the value of our open approach to observability. As Grafana’s offering shifts from dashboards to industry-leading agentic observability, our Product Marketing team is responsible for closing the gap between what our products can do and how customers understand that value. That means building clear, consistent positioning, enabling sellers with trustworthy technical narratives, and creating content that helps Platform Engineering teams quickly grasp why Grafana Cloud is the right choice for them. As a Technical Product Marketer you will play a critical part in that transformation. You’ll be the hands-on engineer who brings our technical story to life for buyers, not just practitioners. You’ll build core demos, run technical workshops and webinars, and act as the technical bridge between our Product and Sales orgs. Your work will help SRE and platform engineering leaders evaluate Grafana with confidence, equip sales engineers with better tools and talk tracks, and ensure our technical value shows up clearly and consistently across the entire customer journey. This is a unique chance to shape how Grafana tells its story as we evolve our positioning in the AI era, strengthen seller enablement, and build a repeatable system for communicating product value. What You'll Be Doing: Build strategic, buyer-focused demos, videos, workshops, and webinars Create and maintain polished, narrative-driven demos that highlight Grafana’s value for SRE and platform engineering leaders. Record high-quality technical demo videos and walkthroughs in partnership with our video and content teams. Lead webinars, workshops, and technical sessions designed for evaluators. Teach customers not just how Grafana works, but why our approach is differentiated and valuable. Use AI tools to generate variations, summaries, and reusable assets that scale technical content across channels. Enable Solutions (Sales) Engineers with clear, consistent technical storytelling Serve as PMM’s technical liaison to the SE org, ensuring consistent messaging and demo guidance. Produce technical enablement assets, value-driven talk tracks, competitive narratives, and demo best practices. Help SEs and sellers communicate Grafana’s story with clarity, confidence, and differentiation. Collaborate with PMMs to drive technical buyer engagement across high-impact channels Partner with PMMs to identify the most important buyer personas, problems, and technical messages, and help shape the content strategy needed to reach them. Extend technical narratives into impactful buyer-facing channels including analyst briefings (Gartner, Forrester), industry forums, podcasts, conferences, and online technical communities. Bring a technical perspective to PMM planning—helping ensure our content, campaigns, and enablement reflect the real challenges and priorities of SREs and engineering leaders. Use automation & AI to scale technical content Partner with software engineers to streamline demo setup, content workflows, and asset updates through workflows, agents, scripts, and AI-driven tools. Use automation to make technical content more repeatable, discoverable, and scalable across teams. What Makes You a Great Fit: 5+ years in a technical role (solutions engineering, SRE, DevOps, backend engineering, technical PMM, or similar). Interest and ability to travel to training and customer events 10-12 weeks per year. Strong understanding of observability concepts and the needs of SRE/platform teams. Ability to translate deep technical concepts into clear, value-focused stories. Experience presenting technical content through demos, workshops, or webinars. Excellent written and verbal communication, with a crisp, structured, persuasive style. Strong cross-functional collaboration; comfort working with PMM, Product, SEs, DevRel, and Field Engineering. High ownership mindset with the ability to drive projects from concept to completion. Comfort with light scripting or workflow automation. Bonus Points For: Hands-on experience with Grafana, Prometheus, Loki, Mimir, Tempo, or similar observability tools, or a background in Observability or Platform Engineering. Prior experience in Sales Engineering, DevRel, or technical product marketing. Familiarity with demo environment automation or infrastructure-as-code tools. Exceptional live presentation or workshop facilitation skills. Compensation & Rewards: In Ireland, the base compensation range for this role is EUR 117,600 - EUR 141,120. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *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: Germany (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. The Opportunity: Grafana Labs is looking for a technically fluent engineer who loves building powerful demos, explaining complex systems clearly, and helping SRE and platform engineering leaders understand the value of our open approach to observability. As Grafana’s offering shifts from dashboards to industry-leading agentic observability, our Product Marketing team is responsible for closing the gap between what our products can do and how customers understand that value. That means building clear, consistent positioning, enabling sellers with trustworthy technical narratives, and creating content that helps Platform Engineering teams quickly grasp why Grafana Cloud is the right choice for them. As a Technical Product Marketer you will play a critical part in that transformation. You’ll be the hands-on engineer who brings our technical story to life for buyers, not just practitioners. You’ll build core demos, run technical workshops and webinars, and act as the technical bridge between our Product and Sales orgs. Your work will help SRE and platform engineering leaders evaluate Grafana with confidence, equip sales engineers with better tools and talk tracks, and ensure our technical value shows up clearly and consistently across the entire customer journey. This is a unique chance to shape how Grafana tells its story as we evolve our positioning in the AI era, strengthen seller enablement, and build a repeatable system for communicating product value. What You'll Be Doing: Build strategic, buyer-focused demos, videos, workshops, and webinars Create and maintain polished, narrative-driven demos that highlight Grafana’s value for SRE and platform engineering leaders. Record high-quality technical demo videos and walkthroughs in partnership with our video and content teams. Lead webinars, workshops, and technical sessions designed for evaluators. Teach customers not just how Grafana works, but why our approach is differentiated and valuable. Use AI tools to generate variations, summaries, and reusable assets that scale technical content across channels. Enable Solutions (Sales) Engineers with clear, consistent technical storytelling Serve as PMM’s technical liaison to the SE org, ensuring consistent messaging and demo guidance. Produce technical enablement assets, value-driven talk tracks, competitive narratives, and demo best practices. Help SEs and sellers communicate Grafana’s story with clarity, confidence, and differentiation. Collaborate with PMMs to drive technical buyer engagement across high-impact channels Partner with PMMs to identify the most important buyer personas, problems, and technical messages, and help shape the content strategy needed to reach them. Extend technical narratives into impactful buyer-facing channels including analyst briefings (Gartner, Forrester), industry forums, podcasts, conferences, and online technical communities. Bring a technical perspective to PMM planning—helping ensure our content, campaigns, and enablement reflect the real challenges and priorities of SREs and engineering leaders. Use automation & AI to scale technical content Partner with software engineers to streamline demo setup, content workflows, and asset updates through workflows, agents, scripts, and AI-driven tools. Use automation to make technical content more repeatable, discoverable, and scalable across teams. What Makes You a Great Fit: 5+ years in a technical role (solutions engineering, SRE, DevOps, backend engineering, technical PMM, or similar). Interest and ability to travel to training and customer events 10-12 weeks per year. Strong understanding of observability concepts and the needs of SRE/platform teams. Ability to translate deep technical concepts into clear, value-focused stories. Experience presenting technical content through demos, workshops, or webinars. Excellent written and verbal communication, with a crisp, structured, persuasive style. Strong cross-functional collaboration; comfort working with PMM, Product, SEs, DevRel, and Field Engineering. High ownership mindset with the ability to drive projects from concept to completion. Comfort with light scripting or workflow automation. Bonus Points For: Hands-on experience with Grafana, Prometheus, Loki, Mimir, Tempo, or similar observability tools, or a background in Observability or Platform Engineering. Prior experience in Sales Engineering, DevRel, or technical product marketing. Familiarity with demo environment automation or infrastructure-as-code tools. Exceptional live presentation or workshop facilitation skills. Compensation & Rewards: In Germany, the base compensation range for this role is EUR 109,709 - EUR 131,651. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *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: Remote - Worldwide Workplace: onsite Coinspaid Dev is the engineering brand behind the technology, infrastructure, and R&D expertise built within Coinspaid. With more than 120 engineersand over 11 years of industry experience, Coinspaid Dev brings together software engineering, infrastructure, security and R&D teams with experience building distributed systems and blockchain infrastructure operating across more than 20 blockchain networks. Coinspaid Dev emerges as an independent engineering brand with a straightforward mission: to advance blockchain infrastructure engineering and contribute practical expertise back to the industry. The structure is new. The experience behind it is not. Position Description: We are looking for a Principal QA Engineer to take ownership of a company-wide QA system and lead its continued development. You will dive into the current processes, leadership model, automation and tooling direction, quality controls, and improvement roadmap; challenge existing approaches where needed, and drive the next stage of maturity across engineering domains. We need a senior technical leader who sees Quality Engineering as an engineering system, connects business and technical risks with practical changes in the SDLC, test architecture, automation, environments, release quality, and metrics, and turns systemic problems into measurable and sustainable improvements. This is a senior individual contributor role working primarily through QA Technical Leads and Senior QA Engineers and partnering with Engineering Managers, Product, Architecture, and DevOps/SRE, while remaining hands-on in high-impact reviews, pilots, and critical investigations. Responsibilities: Take ownership of the company-wide Quality Engineering strategy, operating model, and improvement roadmap; continue evolving them as products, risks, and organizational needs change. Assess Quality Engineering maturity across domains, identify systemic bottlenecks and inconsistencies, and prioritize the improvements with the highest company-wide impact. Define and evolve cross-domain standards and guardrails for test architecture, coverage, quality evidence, testability, observability, release readiness, and production validation. Drive continuous improvement of the end-to-end QA process and embed shift-left practices, quality controls, and risk-based gates across the SDLC together with Product, Engineering, Architecture, and DevOps/SRE. Own the strategic direction of the QA toolchain and automation architecture, and validate key technical decisions hands-on through code, prototypes, and architecture reviews across UI and backend automation. Python is preferred, while Go, Node.js, or another suitable stack is also relevant. Continuously benchmark market practices and emerging technologies, including AI; validate ideas through experiments and turn successful findings into company-wide transformation initiatives such as framework modernization, contract and performance testing, smarter test selection, and cloud-native test environments. Actively use AI in daily engineering work and advance its adoption across QA. Define scalable release-quality principles and provide technical recommendations for systemic, cross-team, or ambiguous quality risks. Lead cross-team investigations and root-cause analysis for critical incidents, unstable environments, systemic automation failures, and quality problems without a clear owner. Establish meaningful quality metrics and make trends, risks, technical debt, and improvement outcomes visible to engineering leadership. Develop QA Technical Leads as domain-level technical owners, strengthening their ability to translate company-wide direction into sustainable practices and decisions within their domains. Influence, align stakeholders, and translate business, regulatory, and operational risks into clear engineering priorities. Requirements: 8+ years in Quality Assurance / Quality Engineering, including technical leadership across multiple teams or domains. Experience defining QA strategy, standards, or large-scale transformations with measurable results. Deep knowledge of Quality practices risk-based testing, coverage strategy, shift-left, quality gates, testability, release readiness, and production quality signals. Strong hands-on programming experience and the ability to design and contribute to scalable UI and backend automation. Python is preferred, but strong experience with Go, Node.js, or another relevant stack is welcome. Strong experience with distributed backend systems, REST APIs, event-driven workflows, third-party integrations Experience with CI/CD, Docker/Kubernetes, cloud-native or GitOps environments, and observability tools. Ability to define useful quality metrics, communicate technical risk, and influence senior stakeholders A research-driven mindset, practical experience evaluating new technologies, and confident, responsible, and active use of AI tools in everyday engineering work. Good spoken and written English and Russian. Nice to have: Experience in fintech, crypto, payments, compliance, financial operations, or another regulated domain with complex integrations and high operational risk. Experience with Kafka, MQ, Debezium, ledger-like systems, eventual consistency, and event-driven architecture. Experience with contract, performance, load, resilience, or reliability testing. Why join CryptoProcessing by 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/