Location: USA, Remote
Workplace: remote
360Learning is entering its next phase of growth.
Today, more than 2,500 organizations worldwide use 360Learning to turn internal expertise into business performance. As AI fundamentally reshapes how companies build skills, share knowledge and develop their people, we are evolving our platform, bringing together Collaborative Learning, AI and enterprise-grade learning infrastructure to redefine what modern L&D can deliver.
We are now looking for a Global VP Marketing to help shape and accelerate this next chapter.
Reporting directly to Benjamin Marchal, our CEO, you will own our global Marketing strategy and organization. Your mandate will go beyond generating demand: you will sharpen our positioning in a rapidly changing market, strengthen our brand and category leadership, and build a high-performing Marketing engine that translates market opportunity into sustainable revenue growth.
You will partner closely with Sales, Product and Customer teams to strengthen our go-to-market strategy across our key markets, with a particular focus on accelerating growth in North America. You will bring together Product Marketing, Brand & Content and Demand Generation around clear priorities and shared business outcomes, from market awareness and positioning to pipeline creation, conversion and revenue impact.
We are looking for an outstanding B2B SaaS marketing leader who combines strategic depth with strong execution and has already led significant Marketing scope in a high-growth environment. This is an opportunity for a proven VP/SVP-level leader ready to step into full global ownership, work directly with the CEO and progressively grow into a broader CMO-level mandate as the company and the role evolve.
The role can be based in the USA, Canada, UK or France.
Within 1 month you will:
Understand our culture, marketing strategy, positioning, organization, processes and performance management
Build a diagnostic and identify opportunities for improvement
Within 3 months you will:
Build a 18 months roadmap for the marketing team
Validate our messaging framework and content strategy
Take ownership of analyst relationships
Start to build a relationship with our top clients
Within 12 months you will:
Lead strategic projects for the company
Own the repositioning decision - Lead the project
Transform our demand generation team from a demand capture to a demand creation machine
Support revenue in scaling outbound to 50% of our pipe creation
The Skill Set:
10+ years of experience in B2B SaaS marketing.
Experience in HR Tech, Future of Work, collaboration, productivity or knowledge/AI platforms would be a plus, but not required
Master of at least 3 of the following functions: product marketing, demand generation, content marketing, brand
Outstanding communication skills. We are expecting our VP Marketing to be vocal in the market
Servant leadership style to lead a team of 20+
Experience in rebranding / renaming is a plus
Fluent English (US/UK)
Enthusiasm for our working environment explained here:
https://bit.ly/Convexity_360L
What We Offer:
Compensation:
Pay structure includes base salary, variable incentive pay, and company equity 📈
Benefits/Perks
: Comprehensive medical, vision, and dental insurance starting your first full month 🏥 401k matching starting from day 1 🏦 Generous parental leave 👶 Professional development opportunities through our own platform 📚
Balance:
We offer unlimited days of annual PTO 🌴 5 days for sick leave 🤒 10 holidays 🗓 We are a remote-first organization and promote flexible work hours 🏠
Diversity, Equity, and Inclusion
: We have 6 active ERGs including
Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity.
Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝
Corporate Social Responsibility
: Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍
Culture:
A framework that will help you make an impact - envision our way of working and our Convexity Culture:
https://bit.ly/Convexity360L
& find out more about the teams, product and processes
https://bit.ly/42H1ggC
🚀👩🏻💻🏆
Interview Process:
Phone screen with our Talent Acquisition Director
Discovery meeting with our Chief Executive Officer, Benjamin
Case Study Meeting with our CEO and Chief Sales Officer
Culture Fit Meeting with our Chief People Officer, Sidonie
Meetings with the marketing team leads
Ref Checks
Offer
Who We Are
360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place.
360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA.
Learning Includes Everyone.
In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!
Location: Hamburg
Workplace: Hybrid
adjoe builds the technologies behind mobile apps growth and monetization. adjoe Ads is our programmatic in-app advertising platform that seamlessly connects advertisers and publishers through direct integration of our Android and iOS SDKs. Every ad decision happens in under 200ms across 10 million daily users, powered by real-time bidding algorithms and user quality prediction models that match the right ad to the right user at the right moment.
Where 50 Billion Daily Predictions Begin
The User Experience team is the origin point of adjoe Ads. Everything the system knows about a user, every prediction the ML models make, every bid placed in an auction. It all starts with code this team ships.
The team owns two responsibilities. On the SDK side, a native Kotlin and Swift code runs inside hundreds of publisher apps. It participates in 120 million daily auctions, renders ad creatives across multiple formats, and captures the behavioral signals that power 50 billion predictions per day. The constraint that defines this work: you're executing inside someone else's app, on someone else's device, with zero tolerance for instability. Every ad impression has to feel native and fast to the user.
On the analytics side, the dashboards, investigation tools, and data frameworks that turn raw data into decisions: real-time revenue performance across active campaigns, infrastructure cost visibility, and data quality assessments. If a number matters to the business or to engineering, this team makes it accessible.
Your Mission & Who We Are Looking For:
- Kotlin & Android Internals Expertise: You will own the core development and optimization of the adjoe Ads SDK, which runs inside hundreds of publisher apps. We are looking for someone with 8+ years of Android experience (or 3+ years specifically in SDK/library development) who works primarily with Kotlin and has a deep understanding of Android lifecycles, ProGuard/R8, and multithreading to ensure zero tolerance for instability on millions of devices.
- High-Performance Network Design: You will collaborate with backend teams to design APIs and capture behavioral signals that power 50 billion daily ML predictions. You need a strong track record in API design, maintaining strict backward compatibility for thousands of external integrators, and working with high-performance networking protocols like gRPC, Protobuf, Wire, and OkHTTP.
- Resource-Constrained Optimization: You will ensure every ad impression feels native and fast while participating in 120 million daily auctions. You must know how to design for minimal footprint, optimizing battery impact and memory usage, as your code executes directly inside someone else’s app and device.
- Data-Driven Observability: You will monitor, debug, and maintain SDK reliability at scale across millions of global users. You will leverage observability and data tools—including Sentry, Kibana, and AWS (S3, QuickSight, Athena)—to track errors, investigate SDK behavior, and turn raw data into clear engineering decisions.
- Build Automation & Delivery: You will maintain and improve our CI/CD pipelines to guarantee efficient, reliable SDK delivery. This requires hands-on experience with Gradle and GitLab CI to automate the testing, building, and packaging of our mobile libraries.
- Plus – AdTech & Low-Level Systems: It is a major plus if you bring experience in ad-tech or programmatic advertising (aligning products with IAB specifications). Additionally, experience with NDK/JNI (C/C++ interop on Android) or parallel iOS development experience is highly valued to help support our cross-platform ecosystem.
🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team.
What’s in It for You?
At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day.
- Go Big. Own projects with impact on 770M users and push adtech boundaries.
- Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum.
- Be Direct. Solve problems openly and collaborate across teams.
- Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other.
- Have Fun. Celebrate wins, enjoy daily victories, and bring your energy.
We welcome applications from people who will contribute to the diversity of our company.
Role Overview:
As a Lead Customer Success Manager, you will own the post-sales strategic relationship, retention, and value realization across highest-stakes enterprise accounts. You will operate with high autonomy, driving customer outcomes while partnering with Sales to uncover and capitalize on strategic growth opportunities. You will serve as the trusted advisor and strategic lead for your portfolio, orchestrating technical and commercial counterparts including Forward-Deployed Engineers (FDEs), Account Executives, and Product leaders. You will bridge complex technical deployments with executive-level business goals to ensure customers realize maximum value and expand their footprint.
Key Responsibilities:
— Drive Strategic Account Value & Retention: accountable for net retention, customer health, and long-term strategic alignment across complex enterprise accounts.
— Partner with Sales for Account Growth: collaborate with Account Executives/Strategic Account Managers to identify expansion vectors, co-develop account plans, and position new capabilities supporting customer's technical roadmap.
— Integrate with Technical Counterparts: work closely with Forward-Deployed Engineers and technical leads to align technical delivery with business outcomes, remove friction, and accelerate time-to-value.
— Operate as an Independent Bar-Raiser: build scalable Customer Success playbooks, elevate executive engagement standards, and operate with extreme ownership without step-by-step guidance.
— Cultivate C-Suite & Technical Sponsorship: build multi-threaded relationships across business and technology functions (CIO, CISO, CTO, VPs of Engineering, Product Leads) to ensure alignment with corporate initiatives.
— Drive Business Outcomes & QBRs: lead executive business reviews demonstrating clear ROI and anchoring accounts for long-term growth.
Qualifications & Requirements:
— 10+ years in Enterprise Customer Success, Account Management, or Technical Account Management handling high-ARR, complex enterprise platforms.
— Proven commercial acumen and growth mindset with history of partnering with Sales to identify, nurture, and close upsells, expansions, and renewals in complex environments.
— Deep experience collaborating with Forward-Deployed Engineers, Solutions Architects, and product delivery teams to translate technical achievements into commercial value.
— Self-motivated leader excelling in ambiguous, fast-paced environments with full accountability for account outcomes.
— Outstanding communication and presentation skills with experience advising C-level executives on technology strategy and operational efficiency.
Nice-to-Haves:
— Domain knowledge in High Tech (cloud native, hardware/software OEMs, AI/ML platforms) and understanding of engineering-led enterprise operations and scaling.
What Success Looks Like in Year 1:
— Month 3: fully onboarded, account health assessments completed, alignment with Sales AEs and FDE teams established.
— Month 6: value-realization frameworks and executive cadence active, expansion pipelines co-developed with Sales.
— Month 12: high Net Retention Rate achieved, demonstrable business outcomes delivered, elevated Customer Success playbooks established as standard practice.
Applicants must be authorized to work in the U.S.; no visa sponsorship available.
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.
This is a remote opportunity, and we would be interested in applicants located in Spain, Sweden, UK, Ireland or Germany.
The Opportunity:
At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence.
The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership.
We’re looking for a Staff-level Backend Engineer to help build the first production services for this context layer management system. You will design and ship the core backend architecture that powers ingestion, context storage, retrieval APIs, and agent-facing integrations. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative.
What You'll Be Doing:
Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration.
Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries.
Power agent-facing retrieval workflows: Build APIs and service interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve relevant context, provenance, confidence signals, and warnings.
Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production.
Operate what you build: Instrument services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability.
Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area.
Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams.
Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows.
What Makes You a Great Fit:
Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making UI design decisions with minimal supervision.
AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory.
Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset.
Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined.
Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table.
Experience with LLMs, prompt engineering, and building applications powered by GenAI.
Proven track record of delivering software that made it into production and is actively used by users.
Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure).
Experience using observability tools to understand and troubleshoot system behavior.
Bonus Points for:
Experience building or working with agent frameworks or multi‑agent workflows.
Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks)
Experience building tools for data engineering.
How we work:
We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product.
Compensation & Rewards:
In the United Kingdom, 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 in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed
here
.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
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.
This is a remote opportunity, and we would be interested in applicants located in Spain, Sweden, UK, Ireland or Germany.
The Opportunity:
At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence.
The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership.
We’re looking for a Staff-level Backend Engineer to help build the first production services for this context layer management system. You will design and ship the core backend architecture that powers ingestion, context storage, retrieval APIs, and agent-facing integrations. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative.
What You'll Be Doing:
Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration.
Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries.
Power agent-facing retrieval workflows: Build APIs and service interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve relevant context, provenance, confidence signals, and warnings.
Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production.
Operate what you build: Instrument services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability.
Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area.
Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams.
Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows.
What Makes You a Great Fit:
Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making UI design decisions with minimal supervision.
AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory.
Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset.
Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined.
Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table.
Experience with LLMs, prompt engineering, and building applications powered by GenAI.
Proven track record of delivering software that made it into production and is actively used by users.
Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure).
Experience using observability tools to understand and troubleshoot system behavior.
Bonus Points for:
Experience building or working with agent frameworks or multi‑agent workflows.
Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks)
Experience building tools for data engineering.
How we work:
We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product.
Compensation & Rewards:
In Germany, the Base compensation range for this role is EUR
100,000
- EUR
125,000
. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed
here
.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
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.
This is a remote opportunity, and we would be interested in applicants located in Spain, Sweden, UK, Ireland or Germany.
The Opportunity:
At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence.
The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership.
We’re looking for a Staff-level Backend Engineer to help build the first production services for this context layer management system. You will design and ship the core backend architecture that powers ingestion, context storage, retrieval APIs, and agent-facing integrations. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative.
What You'll Be Doing:
Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration.
Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries.
Power agent-facing retrieval workflows: Build APIs and service interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve relevant context, provenance, confidence signals, and warnings.
Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production.
Operate what you build: Instrument services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability.
Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area.
Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams.
Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows.
What Makes You a Great Fit:
Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making UI design decisions with minimal supervision.
AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory.
Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset.
Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined.
Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table.
Experience with LLMs, prompt engineering, and building applications powered by GenAI.
Proven track record of delivering software that made it into production and is actively used by users.
Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure).
Experience using observability tools to understand and troubleshoot system behavior.
Bonus Points for:
Experience building or working with agent frameworks or multi‑agent workflows.
Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks)
Experience building tools for data engineering.
How we work:
We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product.
Compensation & Rewards:
In the Republic of Ireland, the Base compensation range for this role is EUR
107,000
- EUR
134,000
. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed
here
.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
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.
This is a remote opportunity, and we would be interested in applicants located in Spain, Sweden, UK, Ireland or Germany.
The Opportunity:
At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence.
The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership.
We’re looking for a Staff-level Backend Engineer to help build the first production services for this context layer management system. You will design and ship the core backend architecture that powers ingestion, context storage, retrieval APIs, and agent-facing integrations. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative.
What You'll Be Doing:
Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration.
Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries.
Power agent-facing retrieval workflows: Build APIs and service interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve relevant context, provenance, confidence signals, and warnings.
Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production.
Operate what you build: Instrument services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability.
Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area.
Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams.
Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows.
What Makes You a Great Fit:
Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making UI design decisions with minimal supervision.
AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory.
Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset.
Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined.
Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table.
Experience with LLMs, prompt engineering, and building applications powered by GenAI.
Proven track record of delivering software that made it into production and is actively used by users.
Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure).
Experience using observability tools to understand and troubleshoot system behavior.
Bonus Points for:
Experience building or working with agent frameworks or multi‑agent workflows.
Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks)
Experience building tools for data engineering.
How we work:
We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product.
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 in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed
here
.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
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.
This is a remote opportunity, and we would be interested in applicants located in Spain, Sweden, UK, Ireland or Germany.
The Opportunity:
At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence.
The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership.
We’re looking for a Staff-level Backend Engineer to help build the first production services for this context layer management system. You will design and ship the core backend architecture that powers ingestion, context storage, retrieval APIs, and agent-facing integrations. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative.
What You'll Be Doing:
Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration.
Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries.
Power agent-facing retrieval workflows: Build APIs and service interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve relevant context, provenance, confidence signals, and warnings.
Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production.
Operate what you build: Instrument services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability.
Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area.
Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams.
Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows.
What Makes You a Great Fit:
Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making UI design decisions with minimal supervision.
AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory.
Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset.
Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined.
Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table.
Experience with LLMs, prompt engineering, and building applications powered by GenAI.
Proven track record of delivering software that made it into production and is actively used by users.
Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure).
Experience using observability tools to understand and troubleshoot system behavior.
Bonus Points for:
Experience building or working with agent frameworks or multi‑agent workflows.
Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks)
Experience building tools for data engineering.
How we work:
We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product.
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
.
Ищут Technical Environment Artist на проектную занятость для работы над PC MMORPG в Unity 6.
Проект — локация в фэнтези-стиле. Нужно помочь собрать сцену с нуля и довести до production-ready качества: собрать и настроить окружение, террейн, растительность и оптимизацию под высокую нагрузку. Опыт в препродакшене приветствуется!
Что важно:
- опыт работы с Unity;
- понимание URP / HDRP под PC;
- опыт сборки и оптимизации сцен;
- сильный опыт с terrain, textures и vegetation;
- понимание GPU pipeline, LOD’ов, draw calls, FPS;
- навыки программирования для технических задач: shaders, editor tools, runtime optimization scripts;
- портфолио с релевантными работами.
Location: Lisbon
Workplace: Hybrid
ROLE HIGHLIGHTS:
- Senior People Generalist
- Location: Portugal, Lisbon
- Department: Local subsidiary
- Reports to: CEO, ICEYE Portugal & indirect line to Global Head of People Operations
- Employment type: Permanent, full-time
- Workplace model: hybrid (office-first)
Employment is subject to applicable security screening (incl. SUPO, where required)
WHY THIS ROLE MATTERS:
You are the face of People Operations for ICEYE in Portugal and the first line of defence for all country-specific people matters. ICEYE's Global HR Operations team (the second line) designs the global frameworks, tools and data standards; you own their local tailoring and practical execution — while ICEYE Portugal builds two very different organisations at once: a Lisbon Center of Excellence hiring software, AI and space engineers, and a satellite production facility ramping manufacturing, integration and test teams through 2027. Your mission: ICEYErs in Portugal are engaged and supported so they can deliver better business results.
WHO WE ARE
ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.
ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.
ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.
Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.
YOUR DAY-TO-DAY RESPONSIBILITIES
Employee experience & local HR operations
- Serve as the primary point of contact for local employees on benefits, policies and employee lifecycle events, providing timely and accurate responses in line with global standards.
- Handle individual cases for relocation and onboarding, including preparation of local employment contracts and country-specific documentation.
- Manage local third-party HR providers (payroll vendor, benefit brokers) and the local practicalities of off-boarding, meeting all legal requirements and exit procedures.
- Act as the first point of contact for standard employee relations cases, handling practicalities locally and consulting Global HR Operations on complex issues.
Payroll, data & compliance
- Audit payroll data in the HRIS and ensure accurate local processing in collaboration with the in-house team and the local payroll vendor.
- Maintain accurate employee records in the HRIS and related systems: data integrity, confidentiality and compliance with local and global data privacy regulations.
- Stay on top of Portuguese employment law — including the specifics of an industrial site (shifts, safety-adjacent policies, collective frameworks where applicable) — and keep all HR activity compliant, with clear documentation of local processes and policies.
- Coordinate the personnel security clearance process with the local security officer for roles that require it.
Global alignment & people programmes
- Act as the go-to person for the CEO on HR matters, escalating complex issues to the Global HR team when necessary.
- Tailor and execute global frameworks locally — levels, salary bands, performance management, wellbeing, L&D — so they work for both the Center of Excellence and the factory population.
- Identify opportunities to automate local HR tasks with Global HR Operations, adapting global ways of working to local legal standards while preserving ICEYE's culture.
- Assist managers and leads as the organisation adds its first layers of management.
Talent Attraction
- Act as the bridge between the global Talent Attraction team and local hiring needs in Portugal: oversee local TA processes, keep hiring moving at the right speed and step in with hands-on support when needed.
- Support local employer brand building and the channels that feed it, including university partnerships and the local tech and industrial talent networks.
WHAT WE’RE LOOKING FOR
Must haves:
- 8+ years of progressive HR experience covering both talent acquisition and HR generalist/business partner work.
- Strong working knowledge of Portuguese labour law, local benefits and market HR practice, with a track record of creating compliant HR policy documentation.
- A hands-on approach with high attention to detail in contract management, local onboarding and the management of local third-party providers.
- Track record hiring technical/engineering profiles and industrial or manufacturing profiles; you personally source and close candidates.
- Strong analytical skills and high emotional intelligence to handle sensitive individual employee relations cases, with the wisdom to escalate complex issues.
- Comfort with HRIS (e.g., HiBob) and ticketing systems, using data to audit payroll and maintain source-of-truth records.
- Exceptional communication in Portuguese and English, able to bridge global ICEYE standards with local needs and influence both local leadership and the global team.
- A proactive, service-oriented mindset that stays effective in a fast-scaling environment, adapting global policies to local contexts without losing speed.
Nice to haves:
- Experience taking a site from roughly 20 to 100+ people.
- HR experience in manufacturing, aerospace, defence or another clearance-relevant industry.
- Experience introducing or running HRIS and ATS tooling in a growing company.
- AI-native sourcing, screening and HR-automation practices.
- Experience in a subsidiary of an international group, balancing local ownership with global frameworks.
APPLICATION PROCESS
- TA Screening
- HR interview
- CEO interview (on-site)
WORKING AT ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
HOW WE WORK (OUR VALUES)
Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
- Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions.
- See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
- Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
- Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
- Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
BENEFITS
Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help.
Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.
Проект:
В связи с расширением штата ищем backend разработчика с 5+ лет опытом PHP и Go
Стек/навыки:
PHP, Go
SQL, REST API
Docker, Git, Linux
Redis / Kafka
Highload / distributed systems
AI-инструменты: Cursor, Claude Code, Codex
LLM API / RAG — плюс
Задачи: backend-сервисы, API, интеграции, рефакторинг, работа с AI-функциональностью и production.
Location: Serbia; Poland; Kazakhstan; Georgia; European Union
Workplace: Remote
🌍 Remote
Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines.
We combine global fintech expertise with deep local market knowledge to make financial services simple, accessible, and useful for millions of people across the region.
7M+ app downloads. 2M+ monthly active users. 7,000+ partner stores. US$310M+ raised from leading global investors.
Manila-based, globally distributed, and hybrid-first — our team spans 45+ countries.
If you want to solve complex problems at scale and impact how millions of people access and manage money, come build with us.
Southeast Asia’s fintech moment starts here.
About the role:
You’ll build one ISMS framework for the whole Salmon Group, so every new regulation, licence, entity or market extends it instead of starting a new compliance project.
What you’ll do:
- Run the core GRC processes yourself while leading a GRC Engineer and growing the function. You report to the Group CISO.
- Work with the Bank CISO, the Bank IS governance team, SOC, AppSec, IT, Risk, Compliance and Legal to apply one set of controls across every Group entity. BSP rules are one input to the framework, not its boundary.
- Keep ISO/IEC 27001:2022 certification and PCI DSS v4.0.1 compliance as outputs of the common framework, and act as the main contact for the certification body and the QSA.
What you’ll own:
- Own the common controls framework: a single control catalogue with named owners, mapped to ISO/IEC 27001, PCI DSS, BSP regulations and the Data Privacy Act. It includes entity and jurisdiction overlays and standard risk and control matrices (RCMs).
- Track changes in regulations and standards, and map each new obligation to an existing control or to a gap with an owner and a date.
- Define how a new entity, licence, product or market joins the framework, and review new initiatives early for security and compliance impact.
- Run information security risk management: methodology, risk register, annual assessment, treatment plans and risk acceptance. Own the policy lifecycle, an exception process with expiry dates, and the third-party security risk methodology.
- Define how controls are tested and what counts as evidence. Automate control checks towards continuous monitoring, and select and implement a GRC platform.
- Lead internal audits, external audits and regulatory examinations, and track findings to closure. Own responses to partner and client security due diligence.
- Run the security and risk committees, report on risks and compliance status to the Group CISO and management, and brief and train managers and risk owners. Formalise the security services the Group provides to each entity.
What makes you a strong fit:
- 6+ years in information security GRC, including 2+ years leading a GRC function or programme
- A track record of building or scaling a GRC programme, ideally around a common controls framework and RCMs mapped to several standards
- Hands-on experience taking an ISO/IEC 27001 ISMS through certification and surveillance audits
- Practical PCI DSS experience, ideally v4.0.1 in a payments or service provider environment
- Experience in regulated financial services (banking, payments or lending), including designing control testing and working with auditors and regulators on findings
- Working knowledge of ISO/IEC 27005 or NIST SP 800-30, clear writing for senior management, and daily use of AI tools to build your own automations with AI-assisted coding
What we offer:
Ownership and flexibility
- Fully remote work
- Company-provided tools and equipment
Health and time off
- Medical insurance support for you and your family through co-funding or reimbursement, depending on your location and subject to policy limits
- Access to an internal mental health support specialist
- 22 vacation days, Philippine public holidays, and 15 sick days
Growth and team experience
- Opportunities to learn and share your expertise through internal expert meetups, external conferences, speaking opportunities, and industry publications
- Company-sponsored trips to Manila to meet and work with your team in person
- High-performing teams can earn a dedicated beach house week in Southeast Asia
We believe strong teams are built by people with different backgrounds, experiences, and points of view. Salmon is an equal opportunity employer, and we make hiring decisions based on skills, experience, and potential.
Задачи:
— Разрабатывать и поддерживать интеграции с платёжными и финансовыми сервисами (REST / SOAP API, OAuth, API-key / Bearer);
— Подключать новых провайдеров, валюты и страны, развивать pay-in / pay-out flows;
— Проектировать и реализовывать REST API на Node.js + TypeScript + Express;
— Реализовывать webhooks: signature / HMAC verification, idempotency, deduplication, retries;
— Разбираться с проблемами интеграций (таймауты, частичные отказы, нестабильность API);
— Работать с NoSQL: моделирование данных, индексы, транзакции;
— Поддерживать KYC / AML интеграции;
— Писать unit / integration tests и участвовать в code review;
— Деплоить и поддерживать сервисы в облаке, разбирать production-инциденты.
Требования:
— Опыт коммерческой разработки на Node.js + TypeScript от 3 лет;
— Практический опыт в Fintech / Payments / Banking / payment-heavy e-commerce от 1 года;
— Опыт разработки и поддержки интеграций с внешними API (REST и SOAP);
— Уверенное понимание HTTP / HTTPS, REST API, webhooks, authentication и status codes;
— Практический опыт с idempotency, retries, deduplication и HMAC / signature verification;
— Опыт работы с NoSQL;
— Понимание денежных расчётов и проблем floating point (опыт с BigNumber / Decimal или аналогами);
— Опыт работы с Docker и деплоя backend-сервисов в GCP / AWS / Azure.
Будет плюсом:
— Интеграции с международными платёжными, крипто- или KYC-провайдерами;
— Практическое знание AML / KYC, 3DS 2.0, chargebacks, reversals;
— Опыт работы с несколькими провайдерами и fallback / routing logic;
— Опыт работы с микросервисной архитектурой, очередями, contract testing;
— Базовый React (чтобы при необходимости читать/менять существующий код);
— Использование AI-инструментов для разработки.
Удалённо💻 Формат работы: Удаленка из любой точки мира (по времени GMT+3)
Location: TUR - Istanbul
About Monster Energy:
Forget about blending in. That's not our style. We're the risk takers, the trailblazers, the gamechangers. We're not perfect and we don't pretend to be. We're raw, unfiltered, and a bit unconventional. Our drive is just like our athletes, unrivaled. The power is in your hands to define what success looks like and where you want to take your career. It's not just about what we do, but about who we become on along the way. We are much more than a brand here. We are a way of life, a mindset. Join us.
A Day in the Life:
As Engineering Manager, you'll lead the execution of packaging and manufacturing initiatives across the APAC region, driving projects from concept through commercialization. You'll partner with bottlers, co-packers, suppliers, and cross-functional teams to deliver new product launches, innovation, capacity expansions, and process improvements. This role is responsible for ensuring projects are executed on time, within budget, and in compliance with Monster Energy's quality and packaging standards. You'll provide technical leadership, support packaging development and line trials, standardize specifications and processes, and identify opportunities to enhance efficiency, sustainability, and operational performance across the supply network.
The Impact You'll Make:
Develop and maintain relationships with all bottlers, co-packers and packaging suppliers to ensure consistency among standards and processes.
Provide technical support on projects with regards to packaging development for new launches, innovation, new site expansion, specification standardization, sustainability, etc.
Attend line trials and plant start-ups at co-packers and suppliers to ensure integrity of MEC product.
Develop and maintain audit sheet, standard operating procedures (SOPs), work instructions, equipment specification, packaging standards.
Assist in responding to customer complaints or inquires, develop action plans, Input of palletization details, weights and measures information within SAP system.
Travel to all bottlers, co-packers and suppliers to evaluate processes and to ensure integrity of MEC product.
Manage and update the current and archived container and packaging files.
Who You Are:
Prefer a Bachelor's Degree in the field of Engineering or related field of study
Additional Experience Desired: More than 7 years of experience in manufacturing and packaging
Additional Experience Desired: More than 7 years of experience in beverage industry
Computer Skills Desired: Proficiency in Microsoft PowerPoint, Excel, Word, Project, and Outlook
Additional Knowledge or Skills to be Successful in this role: Fluent
English
communication
skills
required,
with
the
ability
to
effectively
collaborate
with
stakeholders
across
the
APAC
region,
including
bottlers,
co-packers,
suppliers,
and
cross-functional
teams.
Read our privacy policy here:
Privacy Policy
Location: India
Job Overview
We are seeking an experienced
AI Solution Architect
to design and lead end-to-end enterprise AI Factory and GPU infrastructure solutions spanning compute, high-performance networking, storage, Kubernetes, cloud, and AI/ML platforms. The role requires strong expertise in
NVIDIA GPU technologies, AI workloads, scalable infrastructure architecture, security, observability, performance engineering, and capacity planning
.
Key Responsibilities
Own end-to-end architecture for AI Factory and enterprise AI solutions from requirements through production readiness.
Assess AI/ML workload requirements for training, fine-tuning, inference, batch processing, and high-performance computing.
Design GPU compute architectures including NVIDIA HGX/DGX/OEM platforms, multi-GPU systems, NVLink/NVSwitch, and GPU resource allocation.
Design high-performance AI networking using 100/200/400/800G Ethernet, EVPN/VXLAN, and leaf-spine architectures.
Design AI storage and data architectures using object storage, parallel file systems like Ceph, WEKA, , or equivalent platforms.
Define AI platform architecture across Kubernetes, HPC, container runtimes, model-serving platforms, and enterprise AI frameworks.
Establish architecture standards for security, identity, tenant isolation, data protection, observability, disaster recovery, and operational resilience.
Develop reference architectures, high-level/low-level designs, capacity models, bills of materials, technology evaluations, and implementation roadmaps.
Lead technical evaluations, proof-of-concepts, vendor assessments, and architecture review boards.
Collaborate with infrastructure, network, security, storage, cloud, data, application, and operations teams.
Define performance, availability, scalability, security, and cost objectives and validate architecture against measurable acceptance criteria.
Provide technical leadership during deployment, migration, integration, troubleshooting, and production transition.
•
Required Technical Skills
AI / ML Architecture
• NVIDIA AI Enterprise, NGC, CUDA, NCCL, DCGM, GPU Operator and AI platform ecosystem.
• PyTorch, TensorFlow, JAX and operational understanding of training and inference workloads.
• GPU scheduling, multi-tenancy, MIG/vGPU, GPU utilization and workload placement.
• LLM, generative AI, RAG, fine-tuning, model serving and inference architecture.
GPU & AI Factory Infrastructure
• NVIDIA A100/H100/H200/B200 or equivalent GPU platforms; familiarity with next-generation systems.
• NVLink, NVSwitch, PCIe topology and multi-GPU performance architecture.
• DGX/HGX/OEM GPU server architecture and lifecycle management.
• AI Factory capacity planning, rack density, power, cooling, commissioning and lifecycle strategy.
High-Performance Networking
• 100/200/400/800G Ethernet, InfiniBand, RoCEv2 and RDMA, Netris
• NVIDIA ConnectX/SuperNIC, Spectrum/Spectrum-X, Quantum and BlueField DPU technologies.
• BGP, EVPN/VXLAN, VRF, ECMP, VLAN, MTU, PFC, ECN, QoS and congestion management.
• GPU east-west traffic, GPUDirect RDMA and network performance troubleshooting.
AI Storage & Data Architecture
• Parallel file systems, object storage, NFS, NVMe/NVMe-oF and high-throughput data pipelines.
• Ceph, WEKA, VAST, Dell PowerScale, Pure FlashBlade, NetApp or equivalent technologies.
• Data lake/lakehouse concepts, metadata, lineage, data movement and data lifecycle.
• GPUDirect Storage and storage/network performance optimization.
AI Platform & Orchestration
• Kubernetes, GPU Operator, container runtimes and Kubernetes GPU scheduling.
• HPC or other equivalent workload schedulers.
• Model serving/inference platforms and MLOps platform architecture.
• API gateways, service discovery, secrets management and platform integration.
Cloud & Hybrid Architecture
• AWS and/or Azure AI infrastructure and security services.
• Hybrid cloud connectivity, IAM, private networking, cloud storage and workload placement.
• Cloud cost optimization, capacity planning and FinOps considerations for GPU workloads.
Security & Governance
• Zero Trust, network segmentation, IAM/RBAC, PAM and workload identity.
• GPU, DPU, container, Kubernetes, firmware and supply-chain security.
• Encryption at rest/in transit, secrets management, audit logging and compliance controls.
• AI-specific risks including data/model protection, tenant isolation and secure model access.
Observability & Reliability
• Prometheus, Grafana, OpenTelemetry, NVIDIA DCGM and infrastructure telemetry.
• Monitoring across GPU, CPU, memory, network, storage, power and thermal domains.
• High availability, backup/restore, disaster recovery, business continuity and failure-domain design.
• Performance engineering, bottleneck analysis, SLO/SLA design and capacity forecasting.
Architecture Deliverables
• AI Factory reference architecture and solution blueprints
• High-Level Design (HLD) and Low-Level Design (LLD)
• Network, compute, GPU and storage architecture diagrams
• Capacity, performance and scalability models
• Technology evaluation and vendor comparison documents
• Security architecture and threat-model inputs
• Bill of Materials (BOM) and infrastructure sizing
• Migration/deployment strategy and implementation roadmap
• Operational readiness checklist, runbooks and acceptance criteria
Experience & Qualifications
• 10+ years of infrastructure, cloud, enterprise architecture or solution architecture experience, with significant AI/GPU infrastructure exposure.
• Proven experience designing large-scale enterprise platforms and translating business requirements into technical architectures.
• Hands-on understanding of physical infrastructure, GPU systems, networking, storage and Linux platforms.
• Bachelor's degree in Computer Science, Engineering, Information Technology or related field preferred.
Preferred Certifications
• NVIDIA certifications or equivalent GPU/AI infrastructure credentials
• AWS Solutions Architect / Azure Solutions Architect
• TOGAF or equivalent enterprise architecture certification
• CCNP/CCIE or equivalent networking certification
• CISSP or equivalent security certification
• Kubernetes certifications such as CKA/CKAD
• Red Hat / Linux certifications
Location: Hong Kong, China
Are you a Physical Therapist or Strength and Conditioning coach thinking about a career change? Are you passionate about how technology can help progress your profession? If you have previous experience as a Physical Therapist or Strength and Conditioning Coach, a role as a Business Development Manager at VALD could be the change you need!
About VALD
VALD is the world leader in technology for the allied health industry, providing innovative human-measurement technology to 8,000 clients in over 150 countries.
If you have a favorite team in the NBA, EPL, or NFL, there's a good chance they use VALD Technologies.
Since its humble beginnings in 2015 in Brisbane, Australia, VALD has grown to a team of over 300 team members in over 30 countries, with five offices across four continents.
Driven by a multidisciplinary team of researchers, clinicians, sports scientists, designers, developers and engineers, VALD's suite of systems offer unparalleled insight into human movement, performance, injury risk and rehabilitation.
About the VALD Business Development Team
The Business Development team are on the front line for VALD. As part of a truly global team, you will attend conferences and perform product demonstrations (both in-person and teleconferences) in clinical, performance, and tactical settings. You'll set up and oversee product trials, nurture new leads and look for new opportunities for VALD.
With an education-based approach to sales, as a Business Development Manager, you must have an intimate knowledge of VALD's systems. You'll leverage your industry expertise and product knowledge to demonstrate how our clients can get the most out of our systems to provide value to their business.
Is this you?
Prior experience working in a clinical or allied health setting, such as a physiotherapist/physical therapist or similar role.
Excellent communication and interpersonal skills via various mediums, including team calls, in-person interaction and sales pipeline reporting.
Be comfortable with targeting new clients.
Willing and able to travel for client meetings and represent VALD at industry conferences and events.
Confidence to persuasively demonstrate VALD systems and communicate product and industry knowledge to clients.
A self-starter who holds themselves accountable for reaching sales targets.
A desire to work with and nurture existing distributor relationships.
Prior experience using CRMs and the Microsoft Office 365 suite of products.
You reside in Hong Kong.
You speak Mandarin/Cantonese and English (please submit your application in English).
It’s not expected that any single candidate would check every box here. If you meet just some of the requirements, but not all, we encourage you to submit your application!
We strongly encourage you to apply if you’re at all interested. Show us how your experience could improve our team and widen our perspective. Our selection process includes assessing the requirements of the role vs the individual, and how well we think they will work in the VALD team.
Why VALD?
An opportunity to travel the world utilizing your health and performance experience is just the beginning when you join VALD. Recently named in LinkedIn's Top 25 Startups for 2022 in Australia, VALD's best asset is not our technology but our people and culture.
We have a range of benefits we offer to our team, such as:
Industry-leading compensation with healthy performance-based incentives.
The opportunity to work in a company that is redefining allied healthcare.
Learn from a range of high-performing individuals and teams across various disciplines.
Be part of a down-to-earth, inclusive and vibrant team.
Regular travel opportunities to get the entire VALD team together for your ongoing development.
The latest equipment and remote setup to perform at your best.
VALD Diversity & Inclusion Commitment
VALD’s best asset is not our technology but our people and culture. A culture of inclusion and diversity is critical to our business. We know diverse teams perform better. It's not a separate initiative – we aim to embed inclusion and diversity in everything we do. We are committed to fostering an inclusive work environment and embracing diversity, including gender, nationality, disability, age, marital/parental status, ethnicity, gender identity, socioeconomic background and sexual orientation. We welcome applications from people from all backgrounds.
Conditions of Employment
Successful applicants will be subject to background checks (including identity and criminal record checks). It will be a condition of employment that the background checks return acceptable results.
Location: Malaysia
Job Overview
We are seeking a highly experienced
Senior Linux Infrastructure Engineer
with deep expertise in Linux administration, bare metal infrastructure, enterprise storage, and next-generation
AI Factory / GPU infrastructure platforms
. This role is focused on designing, deploying, operating, and troubleshooting large-scale Linux-based infrastructure that powers both traditional enterprise workloads and modern AI/ML environments.
This is
not a DevOps-focused role
. We already have a dedicated DevOps team and are looking for an engineer with extensive hands-on experience in
Bare Metal as a Service (BMaaS), GPU infrastructure, high-performance storage, data center operations, and enterprise Linux platforms
.
The ideal candidate will have experience building and managing infrastructure from the hardware layer up, including servers, networking, storage, GPU clusters, and AI-ready platforms. They should be comfortable working with high-performance computing (HPC), AI Factory environments, and large-scale Linux deployments where performance, reliability, and operational excellence are critical.
Key Responsibilities & Required Skills
Linux & Bare Metal Infrastructure
Expert-level Linux administration (Ubuntu required; Red Hat and SUSE preferred)
Deep expertise in
bare metal server deployment, architecture, provisioning, and lifecycle management
Experience operating
Bare Metal as a Service (BMaaS)
platforms and large-scale infrastructure environments
Strong understanding of server hardware, including:
BIOS/UEFI
RAID controllers
Firmware management
iLO/iDRAC/IPMI
NICs and SmartNICs
HBA cards
Hardware diagnostics and troubleshooting
Experience designing, implementing, and supporting enterprise Linux infrastructure at scale
AI Factory & GPU Infrastructure
Experience deploying and managing
GPU-accelerated infrastructure
for AI/ML workloads
Understanding of NVIDIA GPU technologies including:
A100, H100, H200, B200, or equivalent GPU platforms
NVIDIA DGX and OEM GPU servers
GPU provisioning and lifecycle management
GPU monitoring and performance optimization
Knowledge of AI Factory architecture and infrastructure requirements
Experience supporting GPU clusters, AI training environments, and high-performance computing (HPC) workloads
Understanding of:
GPU resource allocation and scheduling
Multi-GPU systems
GPU networking requirements
High-bandwidth, low-latency infrastructure design
Familiarity with NVIDIA ecosystem technologies such as:
CUDA
NCCL
GPUDirect Storage
NVIDIA Fabric Manager
NVIDIA Base Command (preferred)
Enterprise Storage & Data Platforms
Advanced Linux storage administration:
LVM
XFS, EXT4
NFS
iSCSI
Fibre Channel SAN
Multipath I/O
Strong hands-on experience with
Ceph
, including:
Cluster architecture
MON, OSD, MDS
RBD, CephFS, RGW
Capacity planning
Performance tuning
Failure recovery
Experience with high-performance AI storage platforms such as:
WEKA
VAST Data
Dell PowerScale
Pure Storage FlashBlade
NetApp
Understanding of:
NVMe-over-Fabrics (NVMe-oF)
RDMA
GPUDirect Storage
Parallel file systems
AI data pipelines
Networking & Infrastructure
Strong networking knowledge:
Bonding
VLANs
Routing
MTU optimization
DNS
DHCP
Experience with high-performance data center networking:
100G/200G/400G Ethernet
RoCE
RDMA
Spine-Leaf architectures
Familiarity with NVIDIA Spectrum-X, Mellanox/NVIDIA ConnectX adapters, or equivalent technologies
Strong understanding of Layer 2 and Layer 3 infrastructure design and troubleshooting
Operations & Reliability
Experience with high availability, clustering, and disaster recovery
Strong troubleshooting skills across:
Linux operating systems
Hardware platforms
GPU infrastructure
Networking
Enterprise storage
Experience supporting mission-critical production environments
Bash and Python scripting for automation and operational efficiency
Experience creating operational documentation, runbooks, and infrastructure standards
Understanding of AI infrastructure design and reference architectures
AI cloud integration for workloads
SOP and runbook development and maintenance
Incident, problem, and capacity management
Business continuity and disaster recovery planning for AI workloads
Proactive risk identification and mitigation to avoid business impact
Nice to Have
Kubernetes infrastructure (especially AI/ML and GPU integration)
KVM, VMware, OpenShift Virtualization, or similar virtualization platforms
Ansible automation
NVIDIA Base Command Manager
Slurm or HPC workload schedulers
Observability and monitoring platforms (Prometheus, Grafana, OpenTelemetry)
Data Center Infrastructure Management (DCIM) tools
IPAM solutions
AWS, Azure, or hybrid cloud exposure
We Are Not Looking For
Candidates whose experience is primarily CI/CD pipeline engineering
Engineers focused mainly on Terraform, GitOps, or application delivery pipelines
Cloud-only administrators with limited bare metal, storage, or hardware experience
Professionals whose primary expertise is software development rather than infrastructure engineering
Ideal Candidate
Someone who has spent years designing, building, and operating enterprise Linux environments, large-scale bare metal infrastructure, storage platforms, and modern AI Factory environments. The ideal candidate understands how to deploy and manage GPU-enabled infrastructure, BMaaS platforms, enterprise storage, and high-performance networking while solving complex operating system, hardware, storage, and AI infrastructure challenges. DevOps experience is a plus, but deep Linux, infrastructure, storage, BMaaS, and AI Factory expertise is the primary requirement.
Гибридsenior🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team
УдалённоleadThis is a remote position that must be based in PST or MST
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
seniorUnited Kingdom (Remote); Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows
seniorGermany (Remote); Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows
seniorRepublic of Ireland (Remote); Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows
seniorSweden (Remote); Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows
seniorSpain (Remote); Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows
Bangalore, India; Ability to work in a hybrid model based in Bangalore (1–2 days/week in-office), with the flexibility to cover APAC time zones, travel as required, and start within 45 days
ГибридseniorLisbon; Handle individual cases for relocation and onboarding, including preparation of local employment contracts and country-specific documentation
УдалённоleadSerbia; Poland; Kazakhstan; Georgia; European Union
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