Location: Poland; Romania; Bulgaria; Georgia; Serbia; Ukraine
Job Type:
Full-time
Location:
Remote
Work Schedule:
Flexible Hours with overlap for UK/UAE/US teams
About Huzzle
At Huzzle, we connect exceptional global talent with leading companies across the UK, US, Europe, Canada, and the Middle East. Our clients range from fast-growing startups to enterprise technology companies operating in SaaS, AI, FinTech, cybersecurity, and cloud infrastructure.
Unlike traditional outsourcing agencies, professionals hired through Huzzle work directly with international clients as long-term, in-house team members contributing to mission-critical projects and infrastructure.
Job Summary
We are seeking an experienced Senior DevOps Engineer to lead infrastructure automation, cloud platform reliability, and deployment scalability initiatives for international technology companies.
This role is ideal for someone with deep expertise in Kubernetes, cloud infrastructure, CI/CD automation, and platform engineering who thrives in fast-paced engineering environments and enjoys solving complex infrastructure challenges at scale.
You will collaborate closely with software engineers, security teams, and product stakeholders to improve deployment workflows, optimize infrastructure performance, and maintain highly available cloud-native systems.
Key Responsibilities
Architect, implement, and maintain scalable cloud infrastructure environments.
Design and optimize CI/CD pipelines for high-frequency deployments.
Manage Kubernetes clusters and container orchestration environments.
Build Infrastructure-as-Code solutions using Terraform and automation best practices.
Improve platform reliability, scalability, and system observability.
Monitor production systems using Prometheus, Grafana, ELK Stack, or similar tools.
Implement security, backup, and disaster recovery best practices.
Troubleshoot infrastructure, networking, and deployment issues across environments.
Collaborate with engineering teams on release management and platform optimization.
Mentor junior engineers and contribute to DevOps best practices across the organization.
Requirements
5+ years of experience in DevOps, Site Reliability Engineering (SRE), Platform Engineering, or Cloud Infrastructure roles.
Strong hands-on experience with Kubernetes, Docker, Linux, and cloud-native technologies.
Experience with AWS, Azure, or Google Cloud Platform.
Strong expertise in Terraform and Infrastructure-as-Code methodologies.
Experience building and maintaining CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or ArgoCD.
Strong scripting or programming experience using Python, Go, Bash, or JavaScript.
Knowledge of networking, security, distributed systems, and cloud architecture principles.
Experience with monitoring and observability tools such as Grafana, Prometheus, Datadog, or ELK Stack.
Excellent communication skills and ability to work independently in remote environments.
Nice to Have
Experience with GitOps workflows and ArgoCD.
Exposure to AI infrastructure or large-scale distributed systems.
Experience supporting enterprise SaaS platforms.
Certifications in AWS, Azure, Kubernetes, or Terraform.
Open-source contributions or technical blogging experience.
Benefits
Competitive salary based on experience and technical expertise.
Fully remote opportunity with global engineering teams.
Work on modern cloud-native infrastructure and large-scale systems.
Long-term career progression opportunities into Lead or Principal Engineering roles.
Access to cutting-edge DevOps, Kubernetes, and automation technologies.
Collaborative engineering culture with high-impact technical ownership.
Flexible work environment focused on autonomy and performance.
Location: South Africa; Philippines; Egypt; India; Pakistan; Vietnam
Job Type:
Full-time
Location:
Remote
Work Schedule:
Flexible or Overlapping US/UK Hours
About Huzzle
At Huzzle, we connect elite global talent with high-growth companies across SaaS, FinTech, AI, MarTech, and enterprise technology industries. Our clients are scaling rapidly and looking for experienced technical professionals who can make an immediate impact.
Job Summary
We are seeking an experienced Senior DevOps Engineer to lead cloud infrastructure initiatives, improve deployment automation, and support highly available production systems. This role is ideal for engineers who enjoy solving complex infrastructure challenges, implementing DevOps best practices, and driving platform scalability.
You will work cross-functionally with software engineers, security teams, and product stakeholders to build reliable, secure, and scalable infrastructure environments.
Key Responsibilities
Architect and manage scalable cloud infrastructure environments.
Lead CI/CD automation and deployment optimization initiatives.
Implement Kubernetes orchestration and container management solutions.
Develop Infrastructure-as-Code solutions using Terraform or similar tools.
Improve observability, monitoring, and incident response workflows.
Support system security, scalability, and disaster recovery planning.
Mentor junior engineers and contribute to DevOps best practices.
Collaborate with cross-functional teams on infrastructure and release planning.
Requirements
4+ years of experience in DevOps, SRE, Platform Engineering, or Cloud Infrastructure roles.
Deep expertise in Kubernetes, Docker, Linux, and cloud-native technologies.
Strong experience with AWS, Azure, or GCP environments.
Hands-on experience with Terraform, GitHub Actions, Jenkins, or ArgoCD.
Knowledge of networking, security, and distributed systems.
Strong scripting or programming skills using Python, Go, or Bash.
Experience with monitoring tools such as Prometheus, Grafana, or ELK Stack.
Excellent communication and leadership skills.
Benefits
💰 Highly competitive compensation package.
🌍 Fully remote or hybrid flexibility.
🚀 Opportunity to work on enterprise-scale cloud infrastructure.
📈 Career progression into Lead DevOps or Platform Engineering roles.
🛠 Access to cutting-edge DevOps and cloud technologies.
🤝 Collaborative global engineering teams and modern development culture.
Location: Belgrade, Serbia; Cluj-Napoca, Romania; Krakow, Poland; Larnaca, Cyprus; Lodz, Poland; Lublin, Poland; Montevideo, Uruguay; Remote.AR, Remote.LATAM-country; Remote.BR, Brazil; Remote.BG, Bulgaria; Remote.CO, Colombia; Remote.PL, Poland; Riga, Latvia; Rosario, Remote.LATAM-country; Sofia, Bulgaria; Varna, Bulgaria; Warsaw, Poland; Wroclaw, Poland
We are looking for a Data Architect who can design and guide the implementation of robust data solutions in a travel-focused environment. You will play a key role in shaping data architecture decisions, working closely with stakeholders, and ensuring that solutions align with business objectives and industry standards. This role combines hands-on architecture design with client-facing responsibilities and involvement in pre-sales activities.
This is a Principal-level role responsible for solution architecture focused on the data context. Key areas include:
Data Governance (DG) and Data Management (DM);
Data structures and modeling;
Data security practices;
Architectural best practices;
Integration patterns;
Non-functional requirements in the data context.
Drive direct communications with business stakeholders
Elaborate on all technical aspects for the development team, justify any architectural decision
Lead implementation of the solutions from establishing project requirements and goals to solution "go-live"
Guide clients through complex data transformation initiatives and ensure successful outcomes
Participate in the entire cycle of sales
pre-sales activities
Lead solution architecture evaluation and assessment activities
5+ years of experience in a Data Architect or Data Engineering role, or 5–10 completed projects
Background in Data Governance and Data Management
Experience working with cloud platforms (Azure, AWS, or GCP)
Experience with data warehouse / data platform technologies (Snowflake, Databricks)
Strong SQL skills, with the ability to design, write, and maintain complex SQL queries
Experience in the Travel domain
Experience building data pipelines, including ETL design, implementation, and maintenance
Knowledge of data management fundamentals, including data modeling, data quality, metadata management, data warehouse/lake patterns, and distributed systems
Excellent communication skills
Sales or pre‑sales experience
Understanding of sales engineering/consulting roles
Familiarity with value propositions in Data & Analytics sales
Location: Cairo, Egypt; Alexandria, Egypt
Insurance is one of the world's largest industries and one of the most painful to interact with
. Paper forms. Sluggish call centres. Three-week underwriting cycles. Claims that vanish into queues. We are rebuilding all of it on top of a modern platform and AI agents that actually do the work, not pretend to.
You will not be picking up tickets. You will be deciding what to build, prototyping it on Monday, shipping a draft to a real customer by Friday, and improving it from real usage. We expect you to push the product, the codebase, and the way we work.
Why This Role Exists
We are looking for someone who treats AI as a creative material, not a feature on a roadmap. The next year of insurance is being defined right now. What gets automated, what gets reimagined, what gets thrown out. We want builders who want to be in that room and ship the answer.
The team is small. The mandate is large. If your highest-energy work has historically come from solving real problems end to end, this is the seat.
What You Will Do
Own outcomes, not tickets.
Pick the biggest lever for our customers each sprint and drive it to live. Surface the next one yourself.
Build with AI as a primary tool, not a chatbot bolt-on.
OCR, document understanding, generation, agent loops, evaluation harnesses. You decide where each fits.
Ship prototypes fast, then make them production-grade.
A working demo on day three beats a perfect plan on day ten.
Work directly with customers.
You will see real claims, real underwriting screens, real broker workflows. You will watch users hit dead ends and decide what to fix.
Raise the bar on the codebase.
Reviews, refactors, testability, observability. Not as policy, as habit.
Push the team forward.
Skills, agents, internal tools, engineering standards. Propose them, build them, get them adopted.
Who You Are
You ship.
Ideas without execution do not count for you.
High agency.
You do not wait for a card to be assigned. You see what is worth doing and you start.
Strong opinions, loosely held.
You make calls with incomplete information and change your mind when the evidence shifts.
Curious about the domain.
Insurance is messy and full of weird incentives. That intrigues you, not annoys you.
Fluent with AI.
You have shipped something real with LLMs or agents. You know where the magic ends and where you have to engineer carefully.
Care about humans on the other end.
Insurance done right gives people peace of mind in their worst weeks. That is the point.
Your Toolbox
We use Node.js + TypeScript + Nest.js on the back end, Vue (and some React) on the front end, GraphQL, MongoDB, Docker, AWS. AI work spans OpenAI, Anthropic, Google, plus a growing set of in-house skills and agents. You do not need to have used every piece. You do need to be the kind of engineer who picks up a new tool and is shipping with it within the week.
What We Expect at This Level
6+ years building production systems.
Track record of complex, customer-facing software shipped, not just maintained.
Real AI experience.
You have built and shipped at least one substantive AI-driven feature. POCs that died in a notebook do not count here.
Strong fundamentals.
OO, design patterns, testing, web security, performance. You do not need a refresher.
Cloud comfort. AWS, Azure, or GCP.
At least one in depth, the rest enough to hold a conversation.
Communication.
You can explain a tradeoff to a non-technical stakeholder in two minutes and to an engineer in one.
Not Suitable for the Role If…
You prefer tickets assigned to you over choosing what to build.
You measure your work in lines of code, not outcomes.
You see AI as a buzzword to put on your CV rather than a tool you have actually used in anger.
You want a process-heavy environment with detailed specs handed down from product.
You are looking for a maintenance role on a finished platform.
Why CoverGo
Insurance is the rare industry where AI can save people hours of their worst weeks. We are already shipping AI-powered claims, underwriting, distribution, and document automation to enterprise carriers across five continents. The platform is real. The customers are real. The next chapter is yours to help write.
Why You'll Love Working Here
100% Remote Work
15 Days of Annual Leave
Annual Performance Bonus
Remote Work Allowance
Anniversary Bonus
Health Insurance
Company Activities and Events
Learning and Development Plan
CoverGo Company
Video
By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s
Privacy Notice
and you consent to the processing of your data as part of this application.
Location: Lisbon, Portugal; Porto, Portugal
Insurance is one of the world's largest industries and one of the most painful to interact with
. Paper forms. Sluggish call centres. Three-week underwriting cycles. Claims that vanish into queues. We are rebuilding all of it on top of a modern platform and AI agents that actually do the work, not pretend to.
You will not be picking up tickets. You will be deciding what to build, prototyping it on Monday, shipping a draft to a real customer by Friday, and improving it from real usage. We expect you to push the product, the codebase, and the way we work.
Why This Role Exists
We are looking for someone who treats AI as a creative material, not a feature on a roadmap. The next year of insurance is being defined right now. What gets automated, what gets reimagined, what gets thrown out. We want builders who want to be in that room and ship the answer.
The team is small. The mandate is large. If your highest-energy work has historically come from solving real problems end to end, this is the seat.
What You Will Do
Own outcomes, not tickets.
Pick the biggest lever for our customers each sprint and drive it to live. Surface the next one yourself.
Build with AI as a primary tool, not a chatbot bolt-on.
OCR, document understanding, generation, agent loops, evaluation harnesses. You decide where each fits.
Ship prototypes fast, then make them production-grade.
A working demo on day three beats a perfect plan on day ten.
Work directly with customers.
You will see real claims, real underwriting screens, real broker workflows. You will watch users hit dead ends and decide what to fix.
Raise the bar on the codebase.
Reviews, refactors, testability, observability. Not as policy, as habit.
Push the team forward.
Skills, agents, internal tools, engineering standards. Propose them, build them, get them adopted.
Who You Are
You ship.
Ideas without execution do not count for you.
High agency.
You do not wait for a card to be assigned. You see what is worth doing and you start.
Strong opinions, loosely held.
You make calls with incomplete information and change your mind when the evidence shifts.
Curious about the domain.
Insurance is messy and full of weird incentives. That intrigues you, not annoys you.
Fluent with AI.
You have shipped something real with LLMs or agents. You know where the magic ends and where you have to engineer carefully.
Care about humans on the other end.
Insurance done right gives people peace of mind in their worst weeks. That is the point.
Your Toolbox
We use Node.js + TypeScript + Nest.js on the back end, Vue (and some React) on the front end, GraphQL, MongoDB, Docker, AWS. AI work spans OpenAI, Anthropic, Google, plus a growing set of in-house skills and agents. You do not need to have used every piece. You do need to be the kind of engineer who picks up a new tool and is shipping with it within the week.
What We Expect at This Level
6+ years building production systems.
Track record of complex, customer-facing software shipped, not just maintained.
Real AI experience.
You have built and shipped at least one substantive AI-driven feature. POCs that died in a notebook do not count here.
Strong fundamentals.
OO, design patterns, testing, web security, performance. You do not need a refresher.
Cloud comfort. AWS, Azure, or GCP.
At least one in depth, the rest enough to hold a conversation.
Communication.
You can explain a tradeoff to a non-technical stakeholder in two minutes and to an engineer in one.
Not Suitable for the Role If…
You prefer tickets assigned to you over choosing what to build.
You measure your work in lines of code, not outcomes.
You see AI as a buzzword to put on your CV rather than a tool you have actually used in anger.
You want a process-heavy environment with detailed specs handed down from product.
You are looking for a maintenance role on a finished platform.
Why CoverGo
Insurance is the rare industry where AI can save people hours of their worst weeks. We are already shipping AI-powered claims, underwriting, distribution, and document automation to enterprise carriers across five continents. The platform is real. The customers are real. The next chapter is yours to help write.
Why You'll Love Working Here
100% Remote Work
15 Days of Annual Leave
Annual Performance Bonus
Remote Work Allowance
Anniversary Bonus
Health Insurance
Company Activities and Events
Learning and Development Plan
CoverGo Company
Video
By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s
Privacy Notice
and you consent to the processing of your data as part of this application.
Location: Warsaw, Poland; Kraków, Poland; Wrocław, Poland
Insurance is one of the world's largest industries and one of the most painful to interact with
. Paper forms. Sluggish call centres. Three-week underwriting cycles. Claims that vanish into queues. We are rebuilding all of it on top of a modern platform and AI agents that actually do the work, not pretend to.
You will not be picking up tickets. You will be deciding what to build, prototyping it on Monday, shipping a draft to a real customer by Friday, and improving it from real usage. We expect you to push the product, the codebase, and the way we work.
Why This Role Exists
We are looking for someone who treats AI as a creative material, not a feature on a roadmap. The next year of insurance is being defined right now. What gets automated, what gets reimagined, what gets thrown out. We want builders who want to be in that room and ship the answer.
The team is small. The mandate is large. If your highest-energy work has historically come from solving real problems end to end, this is the seat.
What You Will Do
Own outcomes, not tickets.
Pick the biggest lever for our customers each sprint and drive it to live. Surface the next one yourself.
Build with AI as a primary tool, not a chatbot bolt-on.
OCR, document understanding, generation, agent loops, evaluation harnesses. You decide where each fits.
Ship prototypes fast, then make them production-grade.
A working demo on day three beats a perfect plan on day ten.
Work directly with customers.
You will see real claims, real underwriting screens, real broker workflows. You will watch users hit dead ends and decide what to fix.
Raise the bar on the codebase.
Reviews, refactors, testability, observability. Not as policy, as habit.
Push the team forward.
Skills, agents, internal tools, engineering standards. Propose them, build them, get them adopted.
Who You Are
You ship.
Ideas without execution do not count for you.
High agency.
You do not wait for a card to be assigned. You see what is worth doing and you start.
Strong opinions, loosely held.
You make calls with incomplete information and change your mind when the evidence shifts.
Curious about the domain.
Insurance is messy and full of weird incentives. That intrigues you, not annoys you.
Fluent with AI.
You have shipped something real with LLMs or agents. You know where the magic ends and where you have to engineer carefully.
Care about humans on the other end.
Insurance done right gives people peace of mind in their worst weeks. That is the point.
Your Toolbox
We use Node.js + TypeScript + Nest.js on the back end, Vue (and some React) on the front end, GraphQL, MongoDB, Docker, AWS. AI work spans OpenAI, Anthropic, Google, plus a growing set of in-house skills and agents. You do not need to have used every piece. You do need to be the kind of engineer who picks up a new tool and is shipping with it within the week.
What We Expect at This Level
6+ years building production systems.
Track record of complex, customer-facing software shipped, not just maintained.
Real AI experience.
You have built and shipped at least one substantive AI-driven feature. POCs that died in a notebook do not count here.
Strong fundamentals.
OO, design patterns, testing, web security, performance. You do not need a refresher.
Cloud comfort. AWS, Azure, or GCP.
At least one in depth, the rest enough to hold a conversation.
Communication.
You can explain a tradeoff to a non-technical stakeholder in two minutes and to an engineer in one.
Not Suitable for the Role If…
You prefer tickets assigned to you over choosing what to build.
You measure your work in lines of code, not outcomes.
You see AI as a buzzword to put on your CV rather than a tool you have actually used in anger.
You want a process-heavy environment with detailed specs handed down from product.
You are looking for a maintenance role on a finished platform.
Why CoverGo
Insurance is the rare industry where AI can save people hours of their worst weeks. We are already shipping AI-powered claims, underwriting, distribution, and document automation to enterprise carriers across five continents. The platform is real. The customers are real. The next chapter is yours to help write.
Why You'll Love Working Here
100% Remote Work
15 Days of Annual Leave
Annual Performance Bonus
Remote Work Allowance
Anniversary Bonus
Health Insurance
Company Activities and Events
Learning and Development Plan
CoverGo Company
Video
By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s
Privacy Notice
and you consent to the processing of your data as part of this application.
Location: Morocco; Egypt
Project Responsibilities
Operate and maintain on-premise infrastructure environments across DEV, TEST, STAGING, UAT, and PROD.
Ensure network zoning and environment segregation in line with External / DMZ / Internal architecture.
Configure and support Web Application Firewalls (WAFs) and controlled traffic flows between zones.
Operate and maintain External and Internal API Gateways.
Support enterprise integrations via the Software AG integration platform.
Operate identity and access management infrastructure, including miniOrange IdP, MFA, and OIDC integrations.
Design, maintain, and operate CI/CD pipelines using Azure DevOps, including secure release promotion.
Implement and operate Secure SDLC controls (SAST, SCA, DAST).
Implement and maintain monitoring, logging, and audit capabilities (Prometheus, Grafana, Graylog, Sentry, SIEM forwarding).
Support backup, replication, and disaster recovery activities, including DR testing.
Requirements
Must-haves
5+ years of experience in DevOps or Infrastructure Engineering.
Experience with on-premise infrastructure deployment and operations in enterprise environments.
Experience managing multiple isolated environments (DEV, TEST, STAGING, UAT, PROD).
Knowledge of network security zoning architectures (External / DMZ / Internal).
Hands-on experience working with Web Application Firewalls (WAFs).
Experience configuring and supporting External and Internal API Gateways.
Experience working with enterprise integration / ESB platforms (Software AG).
Experience integrating and operating Identity Providers (IdP) (miniOrange).
Knowledge of OIDC / OAuth2 authentication flows and Multi-Factor Authentication (MFA).
Experience with TLS / mTLS secure communication and PKI-based certificate management.
Hands-on experience with CI/CD pipelines using Azure DevOps.
Experience implementing Secure SDLC practices, including SAST, SCA, and DAST.
Knowledge of threat modeling techniques, specifically STRIDE.
Experience with monitoring and observability tools (Prometheus, Grafana).
Experience with centralized logging and application monitoring (Graylog, Sentry, SIEM integration).
Experience supporting backup, replication, and disaster recovery processes, including DR testing.
Location: Ukraine
Workplace: remote
Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.
We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.
In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.
Who We’re Looking For:
We are looking for an
AI Software Engineer
to design, build, evaluate, and operate AI-powered capabilities within the Creatio platform. This is an AI-first engineering role: you will spend most of your time designing agents, engineering prompts and context, building retrieval and evaluation pipelines, and directing AI coding agents - with solid .NET engineering as the foundation rather than the whole job.
You will join the AI teams building the
agent platform
that enables AI agents to safely perform real work in the product: call tools and APIs, read and write data, maintain context and memory, follow permissions, and escalate to humans when needed.
The team also owns the core infrastructure for evaluation, monitoring, logging, observability, and cost/performance control, ensuring AI agents are reliable, scalable, secure, and production-ready.
This role combines strong software engineering expertise with hands-on AI engineering experience. You will work on enterprise-grade AI solutions, including assistants, copilots, knowledge systems, semantic search, RAG-based capabilities, and agentic workflows - and you will use AI coding agents as your primary daily development workflow.
Responsibilities:
Design and implement AI-powered product features within the Creatio platform: assistants, copilots, agentic workflows, knowledge systems, RAG, and semantic search.
Design agent architectures - tools, memory and context strategy, orchestration, permissions, guardrails, and human-in-the-loop escalation - and choose the right pattern for each problem (single LLM call vs. tool-using agent vs. multi-agent).
Engineer prompts, system instructions, and agent context as first-class artifacts: versioned, reviewed, and covered by evaluations.
Integrate LLM providers, MCP servers and tools, enterprise data sources, embedding pipelines, and vector/hybrid search into the platform.
Build evaluation datasets, offline and online evals, quality gates, and observability (tracing, logging, drift detection) for AI capabilities.
Monitor and improve the quality, latency, cost, reliability, and security of AI capabilities in production, including prompt and model updates.
Identify and mitigate AI-specific risks: prompt injection, data exfiltration through tools, hallucinations, over-permissioned agents, and sensitive-data leakage.
Develop and maintain backend services using C# and .NET.
Use AI coding assistants and engineering agents as the default development workflow; critically review and verify agent output; contribute reusable rules, skills, and prompts to the team.
Follow the AI landscape closely and bring new models, tools, and patterns to the team.
Requirements:
Must have:
Hands-on experience shipping LLM-based features to production: prompt engineering, function/tool calling, structured outputs, context-window and cost management.
Practical understanding of agent architectures (tool loops, planner/executor, multi-agent, human-in-the-loop), MCP, and at least one agent framework or SDK.
Working knowledge of RAG: chunking, embeddings, vector and hybrid search, re-ranking, grounding and citations, and common failure modes.
Experience with AI evaluation (datasets, offline evals, LLM-as-judge), LLM observability and tracing, and AI security (prompt injection, OWASP Top 10 for LLM Applications, Responsible AI practices).
Daily proficiency with AI coding agents: the ability to direct, review, and verify agent output rather than only write code by hand.
Solid experience with C# and .NET, API design, distributed systems, and software architecture.
Experience with SQL databases, automated testing, CI/CD, and cloud-native development; Docker and basic Kubernetes.
Strong knowledge of engineering best practices and production-grade software development.
Nice to have:
Python for prototyping, data work, and evaluation scripting.
Hands-on experience with a major AI platform (Anthropic API, Azure OpenAI, AWS Bedrock, Google Vertex AI).
Experience building agent-facing tools or MCP servers.
LLMOps practices: prompt and model versioning, evaluation gates in CI/CD, canary rollouts of prompt changes.
Fine-tuning, distillation, or adapter-based model customization.
Experience with Creatio or other low-code CRM platforms.
What to expect from us:
Growth & Development:
Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.
Flexibility & Well-Being:
We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.
Recognition & Impact:
A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.
Innovative Culture:
Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.
Benefits & Rewards Package:
We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.
Location: Poland
Workplace: remote
Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.
We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.
In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.
Who We’re Looking For
We are looking for an
AI Software Engineer
to design, build, evaluate, and operate AI-powered capabilities within the Creatio platform.
You will join the AI teams building the
agent platform
that enables AI agents to safely perform real work in the product: call tools and APIs, read and write data, maintain context, follow permissions, and escalate to humans when needed.
The team also owns the core infrastructure for testing, monitoring, logging, observability, and cost/performance control, ensuring AI agents are reliable, scalable, secure, and production-ready.
This role combines strong software engineering expertise with hands-on AI engineering experience. You will work on enterprise-grade AI solutions, including assistants, copilots, knowledge systems, semantic search, RAG-based capabilities, and agentic workflows.
Responsibilities:
Design and implement AI-powered product features within the Creatio platform: assistants, copilots, agentic workflows, knowledge systems, RAG, and semantic search.
Design agent architectures - tools, memory and context strategy, orchestration, permissions, guardrails, and human-in-the-loop escalation - and choose the right pattern for each problem (single LLM call vs. tool-using agent vs. multi-agent).
Engineer prompts, system instructions, and agent context as first-class artifacts: versioned, reviewed, and covered by evaluations.
Integrate LLM providers, MCP servers and tools, enterprise data sources, embedding pipelines, and vector/hybrid search into the platform.
Build evaluation datasets, offline and online evals, quality gates, and observability (tracing, logging, drift detection) for AI capabilities.
Monitor and improve the quality, latency, cost, reliability, and security of AI capabilities in production, including prompt and model updates.
Identify and mitigate AI-specific risks: prompt injection, data exfiltration through tools, hallucinations, over-permissioned agents, and sensitive-data leakage.
Develop and maintain backend services using C# and .NET.
Use AI coding assistants and engineering agents as the default development workflow; critically review and verify agent output; contribute reusable rules, skills, and prompts to the team.
Follow the AI landscape closely and bring new models, tools, and patterns to the team.
Requirements:
Must have:
Hands-on experience shipping LLM-based features to production: prompt engineering, function/tool calling, structured outputs, context-window and cost management.
Practical understanding of agent architectures (tool loops, planner/executor, multi-agent, human-in-the-loop), MCP, and at least one agent framework or SDK.
Working knowledge of RAG: chunking, embeddings, vector and hybrid search, re-ranking, grounding and citations, and common failure modes.
Experience with AI evaluation (datasets, offline evals, LLM-as-judge), LLM observability and tracing, and AI security (prompt injection, OWASP Top 10 for LLM Applications, Responsible AI practices).
Daily proficiency with AI coding agents: the ability to direct, review, and verify agent output rather than only write code by hand.
Solid experience with C# and .NET, API design, distributed systems, and software architecture.
Experience with SQL databases, automated testing, CI/CD, and cloud-native development; Docker and basic Kubernetes.
Strong knowledge of engineering best practices and production-grade software development.
Nice to have:
Python for prototyping, data work, and evaluation scripting.
Hands-on experience with a major AI platform (Anthropic API, Azure OpenAI, AWS Bedrock, Google Vertex AI).
Experience building agent-facing tools or MCP servers.
LLMOps practices: prompt and model versioning, evaluation gates in CI/CD, canary rollouts of prompt changes.
Fine-tuning, distillation, or adapter-based model customization.
Experience with Creatio or other low-code CRM platforms.
What to expect from us:
Growth & Development:
Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.
Flexibility & Well-Being:
We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.
Recognition & Impact:
A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.
Innovative Culture:
Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.
Benefits & Rewards Package:
We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.
Location: United Kingdom (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
The Opportunity:
We’re looking for a
Senior
Solutions Architect (Professional Services)
to join Grafana Labs’ world-class Customer Experience team. This is a highly hands-on role for technically skilled professionals who thrive on helping customers solve complex problems, accelerate adoption, and drive real business outcomes with Grafana at the center.
As a Solutions Architect, you’ll be a
trusted technical partner
—not a quota-carrying seller, but a customer-first advocate who leads with authenticity and insight. You’ll guide organizations through onboarding, implementation, and expansion by offering white-glove support, best practices, and proven strategies gathered from across our customer base.
You’ll operate with one foot in the code and the other in the customer’s world. Whether it’s understanding container orchestration in Kubernetes, fine-tuning Prometheus queries, or clarifying the nuances between logs, metrics, and traces—you’ll bring clarity and confidence to complex technical landscapes. You know the difference between "pets and cattle" and why that matters for scalable observability.
You’ll deliver high-impact training, jumpstart engagements, and offer tailored technical consulting to help customers succeed. As an embedded partner during critical phases, you’ll provide roadmap assurance, guide project execution, and ensure Grafana's capabilities align with the customer’s architecture, goals, and constraints. Along the way, you’ll identify recurring issues, monitor support needs, and advocate for product improvements in close collaboration with internal teams.
Success in this role means being a strategic thinker
and
a command-line problem solver. You’re passionate about OSS, love engaging with customers, and have the instincts to manage timelines, unblock teams, and deliver value at every stage of the engagement.
Join us and help elevate the Grafana customer experience through world-class technical delivery and meaningful impact.
What You'll Be Doing:
Effective in working with customers, including business executives, project managers, and IT development staff.
Effective in understanding business needs and distilling the information into business and technical requirements.
Comfortable working with complex business and technological requirements and translating into the design of solutions, including data visualization, workflow recommendations, migrations, and enterprise scale architecture.
Ability to act as a functional lead and able to demonstrate clear approach to methodology as well as functional capabilities. Leads functional workshops with customers, documents requirements, and designs appropriate solutions.
Speed is paramount. This team is nimble and is the fulcrum to accelerate the delivery of the solution for customers.
Be a strong advocate for adherence to standards and best practices.
Stay current on Grafana Labs, observability, and related technologies.
You'll be a key resource for our Sales, Product Management, Engineering, Support, and Professional Services teams as they look to drive innovation and improvements into future product and offering enhancements.
If you enjoy working with customers to help them succeed and thrive on working with leading-edge technologies, this is the role for you.
What Makes You a Great Fit:
Located in the UK
5+ years of experience working on deployment teams, using project management techniques.
Direct experience with o11y.
Best practices for both using and deploying an o11y stack (visualization, alerting, metrics, logs, traces) - preferably with Grafana products (Grafana, Prometheus/Cortex/Enterprise Metrics, Loki/Enterprise Logs, Jaeger/Tempo).
A proven track record of successful delivery of customer projects, preferably enterprise o11y implementations for large customers
Excellent communication skills to communicate with customers, partners, and internal members.
Kubernetes (kubectl, Helm, Tanka preferred).
Experience with Cloud Platforms - AWS, GCP, Azure
Bonus Points For:
Self-starter, adept at picking up new skills and technologies, and eager to break new ground.
Vision to help us take our company to the next level.
Compensation & Rewards:
In the UK
,
the base compensation range for this role is £103,900 - £124,500. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Spain (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
The Opportunity:
We’re looking for a
Senior
Solutions Architect (Professional Services)
to join Grafana Labs’ world-class Customer Experience team. This is a highly hands-on role for technically skilled professionals who thrive on helping customers solve complex problems, accelerate adoption, and drive real business outcomes with Grafana at the center.
As a Solutions Architect, you’ll be a
trusted technical partner
—not a quota-carrying seller, but a customer-first advocate who leads with authenticity and insight. You’ll guide organizations through onboarding, implementation, and expansion by offering white-glove support, best practices, and proven strategies gathered from across our customer base.
You’ll operate with one foot in the code and the other in the customer’s world. Whether it’s understanding container orchestration in Kubernetes, fine-tuning Prometheus queries, or clarifying the nuances between logs, metrics, and traces—you’ll bring clarity and confidence to complex technical landscapes. You know the difference between "pets and cattle" and why that matters for scalable observability.
You’ll deliver high-impact training, jumpstart engagements, and offer tailored technical consulting to help customers succeed. As an embedded partner during critical phases, you’ll provide roadmap assurance, guide project execution, and ensure Grafana's capabilities align with the customer’s architecture, goals, and constraints. Along the way, you’ll identify recurring issues, monitor support needs, and advocate for product improvements in close collaboration with internal teams.
Success in this role means being a strategic thinker
and
a command-line problem solver. You’re passionate about OSS, love engaging with customers, and have the instincts to manage timelines, unblock teams, and deliver value at every stage of the engagement.
Join us and help elevate the Grafana customer experience through world-class technical delivery and meaningful impact.
What You'll Be Doing:
Effective in working with customers, including business executives, project managers, and IT development staff.
Effective in understanding business needs and distilling the information into business and technical requirements.
Comfortable working with complex business and technological requirements and translating into the design of solutions, including data visualization, workflow recommendations, migrations, and enterprise scale architecture.
Ability to act as a functional lead and able to demonstrate clear approach to methodology as well as functional capabilities. Leads functional workshops with customers, documents requirements, and designs appropriate solutions.
Speed is paramount. This team is nimble and is the fulcrum to accelerate the delivery of the solution for customers.
Be a strong advocate for adherence to standards and best practices.
Stay current on Grafana Labs, observability, and related technologies.
You'll be a key resource for our Sales, Product Management, Engineering, Support, and Professional Services teams as they look to drive innovation and improvements into future product and offering enhancements.
If you enjoy working with customers to help them succeed and thrive on working with leading-edge technologies, this is the role for you.
What Makes You a Great Fit:
Located in Spain
5+ years of experience working on deployment teams, using project management techniques.
Direct experience with o11y.
Best practices for both using and deploying an o11y stack (visualization, alerting, metrics, logs, traces) - preferably with Grafana products (Grafana, Prometheus/Cortex/Enterprise Metrics, Loki/Enterprise Logs, Jaeger/Tempo).
A proven track record of successful delivery of customer projects, preferably enterprise o11y implementations for large customers
Excellent communication skills to communicate with customers, partners, and internal members.
Kubernetes (kubectl, Helm, Tanka preferred).
Experience with Cloud Platforms - AWS, GCP, Azure
Bonus Points For:
Self-starter, adept at picking up new skills and technologies, and eager to break new ground.
Vision to help us take our company to the next level.
Compensation & Rewards:
In the Spain
,
the base compensation range for this role is 94,000 - 112,830 EUR. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Netherlands (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
The Opportunity:
We’re looking for a
Senior
Solutions Architect (Professional Services)
to join Grafana Labs’ world-class Customer Experience team. This is a highly hands-on role for technically skilled professionals who thrive on helping customers solve complex problems, accelerate adoption, and drive real business outcomes with Grafana at the center.
As a Solutions Architect, you’ll be a
trusted technical partner
—not a quota-carrying seller, but a customer-first advocate who leads with authenticity and insight. You’ll guide organizations through onboarding, implementation, and expansion by offering white-glove support, best practices, and proven strategies gathered from across our customer base.
You’ll operate with one foot in the code and the other in the customer’s world. Whether it’s understanding container orchestration in Kubernetes, fine-tuning Prometheus queries, or clarifying the nuances between logs, metrics, and traces—you’ll bring clarity and confidence to complex technical landscapes. You know the difference between "pets and cattle" and why that matters for scalable observability.
You’ll deliver high-impact training, jumpstart engagements, and offer tailored technical consulting to help customers succeed. As an embedded partner during critical phases, you’ll provide roadmap assurance, guide project execution, and ensure Grafana's capabilities align with the customer’s architecture, goals, and constraints. Along the way, you’ll identify recurring issues, monitor support needs, and advocate for product improvements in close collaboration with internal teams.
Success in this role means being a strategic thinker
and
a command-line problem solver. You’re passionate about OSS, love engaging with customers, and have the instincts to manage timelines, unblock teams, and deliver value at every stage of the engagement.
Join us and help elevate the Grafana customer experience through world-class technical delivery and meaningful impact.
What You'll Be Doing:
Effective in working with customers, including business executives, project managers, and IT development staff.
Effective in understanding business needs and distilling the information into business and technical requirements.
Comfortable working with complex business and technological requirements and translating into the design of solutions, including data visualization, workflow recommendations, migrations, and enterprise scale architecture.
Ability to act as a functional lead and able to demonstrate clear approach to methodology as well as functional capabilities. Leads functional workshops with customers, documents requirements, and designs appropriate solutions.
Speed is paramount. This team is nimble and is the fulcrum to accelerate the delivery of the solution for customers.
Be a strong advocate for adherence to standards and best practices.
Stay current on Grafana Labs, observability, and related technologies.
You'll be a key resource for our Sales, Product Management, Engineering, Support, and Professional Services teams as they look to drive innovation and improvements into future product and offering enhancements.
If you enjoy working with customers to help them succeed and thrive on working with leading-edge technologies, this is the role for you.
What Makes You a Great Fit:
Located in the Netherlands
5+ years of experience working on deployment teams, using project management techniques.
Direct experience with o11y.
Best practices for both using and deploying an o11y stack (visualization, alerting, metrics, logs, traces) - preferably with Grafana products (Grafana, Prometheus/Cortex/Enterprise Metrics, Loki/Enterprise Logs, Jaeger/Tempo).
A proven track record of successful delivery of customer projects, preferably enterprise o11y implementations for large customers
Excellent communication skills to communicate with customers, partners, and internal members.
Kubernetes (kubectl, Helm, Tanka preferred).
Experience with Cloud Platforms - AWS, GCP, Azure
Bonus Points For:
Self-starter, adept at picking up new skills and technologies, and eager to break new ground.
Vision to help us take our company to the next level.
Compensation & Rewards:
In the Netherlands
,
the base compensation range for this role is 109,697 - 131,636 EUR. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Singapore, Singapore
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About The Opportunity
We are currently seeking a
Public Cloud Operations Expert
to join our Singapore team. You be will responsible for the full lifecycle management of enterprise-level hybrid cloud infrastructure, leading unified orchestration, operations, and cost optimisation of
AWS
and
Alibaba Cloud
resources, ensuring high availability, high performance, and compliance.
What You’ll Be Doing
Cloud Platform Architecture & Operations
Plan, deploy, monitor, and maintain AWS services (EC2, S3, VPC, Lambda, EKS, etc.) and Alibaba Cloud services (ECS, OSS, VPC, Function Compute, ACK, etc.).
Design highly available, auto-scaling cloud architectures, optimizing network (e.g., Alibaba Cloud CEN, AWS Direct Connect), storage, and compute resource configurations.
Monitoring & Incident Management
Implement full-stack monitoring and alerting using cloud-native tools (AWS CloudWatch, Alibaba Cloud CloudMonitor) and open-source solutions (Prometheus+Grafana, ELK).
Lead critical incident response, perform root cause analysis, and implement preventive measures (e.g., resource contention, misconfigurations, network latency).
Cost Optimisation & Resource Management
Analyse cloud resource usage, reduce costs via reserved instances, auto-scaling, and storage lifecycle policies (e.g., AWS S3 Intelligent-Tiering, Alibaba Cloud OSS Archive).
Establish resource quota management strategies to prevent waste and overspending.
Security & Compliance
Implement cloud security baselines (security groups, IAM policies, Alibaba Cloud RAM permissions, AWS Security Hub), conduct regular security audits, and remediate vulnerabilities.
Design granular access controls using AWS IAM and Alibaba Cloud RAM, and enforce database auditing (e.g., AWS CloudTrail + Alibaba Cloud DAS).
Cross-Team Collaboration & Knowledge Sharing
Collaborate with development teams to optimize application architectures and provide cloud-native solutions (Server-less, Microservices).
Document operational procedures (SOP manuals) and lead internal technical training sessions.
What We Look For In You
Technical Skills
Mastery of core services (compute/storage/network/security) on AWS or Alibaba Cloud, with familiarity in the other platform.
Proficient in Linux/Windows system operations and automation tools (Shell/Python/Ansible).
Hands-on experience with containerized operations (Kubernetes, ECS/EKS, ACK) and cloud-native technologies (e.g., Service Mesh).
Experience Requirements
5+ years of operations experience, with at least 3 years focused on public cloud (AWS/Alibaba Cloud) environments managing 100+ instances.
Experience in building cloud platforms from scratch, hybrid cloud architecture design, or large-scale migration projects (e.g., IDC-to-cloud) is preferred.
Team Management
Excellent team management and communication skills to lead and collaborate with operations, development, testing, and security teams.
Certifications & Education
AWS Certified SysOps Administrator or Alibaba Cloud ACP/ACE certifications are preferred.
Bachelor’s degree or higher in Computer Science, Network Engineering, or related fields.
Nice-To-Haves
Familiarity with multi-cloud management platforms (AWS, Alibaba Cloud, Azure) or FinOps cost optimisation methodologies.
Experience in cloud security practices, including Web Application Firewall (WAF) and DDoS protection (Alibaba Cloud Anti-DDoS Premium, AWS Shield).
Exposure to big data/AI operations (e.g., Alibaba Cloud MaxCompute, AWS EMR).
Team leadership experience is preferred.
Perks & Benefits
Competitive total compensation package
L&D programs and education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Amsterdam, Netherlands; Germany; United Kingdom
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We're looking for a Senior Software Engineer to help us build the best Managed PostgreSQL for AI workloads. The service is already in production; the mission now is to make it the obvious choice for teams running AI applications on Postgres — first-class vector search, painless migrations from RDS / Cloud SQL / self-managed clusters, and the operational quality of a mature managed database.
You'll work across the stack: control plane and lifecycle automation in Go, Postgres internals and performance, migration tooling, and the customer escalations where it actually matters.
You're welcome to work from our offices in Amsterdam or London, hybrid or remotely from EU timezones.
Your responsibilities
:
Develop the control plane and lifecycle automation for Managed PostgreSQL — provisioning, HA, failover, backups, PITR, version upgrades, zero-downtime maintenance.
Tune and harden PostgreSQL itself — replication, WAL, vacuum, query planner, connection pooling, extensions — and turn that into product features and sane defaults customers don't have to think about.
Build migration tooling that gets customers off AWS RDS, Google Cloud SQL, Azure Database for PostgreSQL, and self-managed clusters with minimal downtime.
Drive the AI-Postgres story end to end — vector search (pgvector, pgvectorscale), hybrid retrieval, integration with the wider Nebius AI Cloud stack.
Run the service like an SRE — define SLOs, build observability, lead incident response, feed every postmortem back into the platform.
Work directly with customers on architecture reviews, performance escalations, and the production problems that don't fit a ticket template.
Must-haves
:
5+ years of professional software engineering experience, with significant time spent building or operating production PostgreSQL at scale (TB+ datasets, replication topologies, real failure modes you've debugged in production).
Strong software engineering skills in Go or another backend/systems language, with a willingness to work primarily in Go.
Deep knowledge of PostgreSQL internals: MVCC, WAL, replication (physical and logical), vacuum, query planning, extensions, partitioning.
Hands-on experience with the surrounding ecosystem: Patroni / Stolon / pg_auto_failover, pgBackRest / WAL-G, pgBouncer / PgCat, logical replication tooling.
The instincts of an ex-DBA — you can read EXPLAIN ANALYZE fluently, reason about lock behaviour, and know how to handle database corruptions.
Ability to write reliable code and dig into complex problems.
Teamwork-oriented approach.
Nice
-
to
-
have
s
:
Experience with pgvector and pgvectorscale — vector search at scale, index choice, recall vs. latency trade-offs.
Background building managed-database control planes at a cloud provider (RDS, Cloud SQL, Aiven, Crunchy, Timescale, Supabase, Neon, or similar).
Experience writing Kubernetes operators (Go + controller-runtime / kubebuilder).
Contributions to PostgreSQL itself, popular extensions, or the surrounding OSS ecosystem.
AI/ML workload experience — RAG pipelines, embedding stores, GPU-resident workloads.
We conduct coding interviews as part of the process.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
seniorAmsterdam, Netherlands; Germany; United Kingdom; You're welcome to work from our offices in Amsterdam or London, hybrid or remotely from EU timezones
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