Location: Riyadh, Saudi Arabia; Cairo, Egypt; Delhi, India; Dubai, United Arab Emirates; Casablanca, Morocco
Müller’s Solutions is on the hunt for a skilled Google Cloud Architect to lead our cloud strategy initiatives and design innovative solutions using Google Cloud Platform (GCP). In this crucial role, you will be responsible for developing scalable, secure, and efficient cloud architectures that meet business requirements while guiding teams on best practices in cloud implementation and governance.
Key Responsibilities:
Design and architect scalable, reliable, and cost-effective GCP solutions aligned with business objectives.
Collaborate with stakeholders to gather requirements and translate them into technical solutions leveraging GCP services.
Develop and implement standards, guidelines, and best practices for GCP architectures across the organization.
Lead migration efforts of existing applications and systems to GCP, ensuring best practices around security and compliance are followed.
Conduct cloud readiness assessments and application architecture evaluations to identify needed improvements.
Oversee the integration of cloud services with on-premises components or external platforms as necessary.
Advise on cloud strategies, best practices, and industry trends to senior management and technical teams.
Provide technical leadership and mentorship to engineering teams, promoting cloud-native development methodologies.
Build and maintain documentation for cloud solutions, architectures, and processes.
Engage with vendor management to evaluate and select relevant cloud services and tools.
Requirements
Requirements:
Bachelor's degree in Computer Science, Information Technology, or a related field.
5+ years of experience in cloud architecture, with a strong focus on Google Cloud Platform.
Proven experience in designing and implementing complex architectures on GCP, including compute, storage, and networking.
Deep understanding of GCP services and capabilities, including BigQuery, Cloud Functions, and Kubernetes Engine.
Expertise in Infrastructure as Code (IaC) practices using tools like Terraform or Cloud Deployment Manager.
Strong knowledge of cloud security principles and best practices for governance and compliance.
Excellent communication and collaboration skills to work effectively with diverse teams and stakeholders.
Strong problem-solving skills and the ability to think critically in fast-paced environments.
Preferred Qualifications:
Google Cloud certifications (e.g., Google Cloud Professional Cloud Architect or Google Cloud Professional DevOps Engineer) are highly desirable.
Experience with DevOps practices, CI/CD pipelines, and automation tools.
Familiarity with open-source technologies and frameworks relevant to GCP architecture.
Experience in cloud cost management and optimization techniques.
Benefits
1- Attractive Package.
2- Family Benefits.
3- Visa.
4-Air Tickets.
Riyadh, Saudi Arabia; Cairo, Egypt; Delhi, India; Dubai, United Arab Emirates; Casablanca, Morocco
Location: Riyadh, Saudi Arabia
Müller’s Solutions is looking for an experienced Azure Cloud Engineer to join our dynamic team. In this role, you will be responsible for designing, deploying, and managing our Azure cloud infrastructure, ensuring the scalability, security, and performance of our applications. You will collaborate with various teams to facilitate the migration of services to Azure and optimize our cloud environment for efficiency and cost-effectiveness.
Key Responsibilities:
Management of Azure virtual machines
Configuration and management of Azure networking
Administration of storage in Azure
Management of Azure Active Directory / Microsoft Entra ID
Optimization of costs (FinOps) and monitoring of budgets
Configuration of Azure Monitor and performance tracking
Administration of Microsoft Defender for Cloud
Configuration of backups and daily monitoring & validation of backup processes
Execution of quarterly Disaster Recovery (DR) testing
Management of Azure Backup and on-premises backup solutions
Monitoring and reporting on Recovery Time Objective (RTO) and Recovery Point Objective (RPO)
Oversight of Microsoft 365 backup processes
Design and implement Azure solutions that align with best practices and meet organizational needs.
Oversee the management and monitoring of Azure resources including virtual machines, storage accounts, and networking elements.
Automate the deployment and operational processes using Infrastructure as Code (IaC) tools, such as Terraform or Azure Resource Manager (ARM) templates.
Integrate on-premises infrastructure with Azure services to create hybrid cloud solutions.
Ensure compliance and governance standards for security across all Azure environments.
Maintain documentation of architecture diagrams, operational procedures, and guidelines for best practices.
Collaborate with development teams to facilitate efficient operational processes and application delivery.
Identify and resolve issues with Azure services, determining root causes and implementing effective solutions.tions.
Requirements
Requirements:
Bachelor's degree in Computer Science, Information Technology, or a related field.
3+ years of experience in cloud engineering or architecture, with a focus on Microsoft Azure.
Strong understanding of Azure services and tools including Azure Virtual Machines, Azure Functions, and Azure App Services.
Experience with scripting and automation using PowerShell, Azure CLI, or other automation tools.
Familiarity with networking concepts and security principles in cloud environments.
Excellent problem-solving skills and attention to detail.
Effective communication skills to work collaboratively in a team-oriented environment.
Preferred Qualifications:
Microsoft Azure certifications (e.g., Azure Solutions Architect Expert or Azure DevOps Engineer) are highly desirable.
Experience with DevOps practices and tools (e.g., CI/CD pipelines, Azure DevOps).
Knowledge of containerization technologies such as Docker and Kubernetes.
Experience with monitoring tools such as Azure Monitor, Application Insights, or third-party solutions.
Benefits
1- Attractive Package.
2- Family Benefits.
3- Visa.
4-Air Tickets.
Location: Lagos, Nigeria
We are expanding our B2B banking ecosystem and looking for a
Product Manager (Internal Products)
to build and scale the internal tools that power our SME operations.
This is a highly execution-focused role. You will work closely with Engineering, Risk, and Operations to improve and automate internal systems that directly impact credit decisions, portfolio performance, and customer experience.
We are looking for someone who can start delivering value within the first
4–6 weeks:
defining roadmaps, writing specs, and working with engineering and operations.
What You’ll Do
Improve and scale internal tools used by SME operations and credit teams
Gather requirements from stakeholders and turn them into clear product specs
Write detailed PRDs and manage backlog with Engineering
Identify inefficiencies in processes and propose automation solutions
Support rollout of new features and ensure adoption by internal teams
Bring practical best practices from international fintech / banking markets
Requirements
4–7 years
of Product Management experience
Hands-on experience building or improving internal/back-office systems
Experience in fintech or banking
Strong execution mindset — comfortable moving fast and delivering
Experience working with cross-functional teams (Engineering, Risk, Ops)
Exposure to international fintech/banking markets
Fluent English
Benefits
Remote work from anywhere in the world
Performance bonus, 25+ paid vacations and day-offs, personal development plan
Purpose: shape the future of fintech in Nigeria with products that reach millions, backed by a competitive salary
Growth: thrive in a fast paced work environment with flexibility, collaboration, and access to cutting-edge tools
Join a diverse, inclusive team where all voices are valued, and professional growth is a priority.
УдалённоLagos, Nigeria
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Location: Salt Lake City, Utah
Workplace: onsite
Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform—where modern legal work happens with clarity and consistency.
Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine’s rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country.
As a Legal Solutions Engineer you will be joining the team that is responsible for assisting Account Executives (AE) in presenting complex SaaS products to law firms and corporations by understanding the prospects' needs and presenting a compelling storytelling demonstration of Filevine. You are the technical expert who can both explain difficult concepts with simplicity to non-technical people as well as articulate the details to a more technical audience. With constantly evolving products you must have the curiosity and ability to quickly gain a deep understanding of the latest offerings, how they work, and the value they add. Overall, we are seeking an extremely driven and confident individual that can bring about great results within our organization.
Responsibilities:
Assist AEs in positioning Filevine to clients seeking case management, AI, and contract management solutions particularly in the legal and corporate verticals.
Prepare and deliver dynamic storytelling demonstrations of products.
Take a consultative approach in working with prospective clients or current clients
Interact with prospects and customers alongside sales reps to assess needs and to determine requirements.
Continually improve your understanding of the intricacies of the Filevine offerings.
Help in researching and developing solutions within the Filevine suite to solve customer needs.
Qualifications:
A curious mind that wants to know how it works and why it works; the type of person who can’t help but push a button to find out what happens when you do.
Strong interpersonal skills are required for both building a relationship with clients and effectively communicating with others on the sales team.
Problem-solving skills so you can listen to the customers’ desires and concerns, and then recommend solutions on the fly.
Adaptable to sudden changes whether they be in a customer conversation or overall in business strategy.
A confident and persuasive storyteller that speaks dynamically using pacing, emphasis, tone, etc. to capture and hold an audience’s attention.
Legal software admin experience is a plus but not necessary.
In office position
In addition to the qualifications listed above, we expect that our team members have the following:
Proven ability to maintain focus, productivity, and composure in high-stress, fast-paced in-person environments.
Must be able to work in office 5 days a week in our Sugarhouse, UT location
Highly adaptable to working in open-office layouts while staying focused and respectful of colleagues.
Skilled at handling high-priority Zoom calls with upset customers on short notice, using empathy and composure to resolve complex issues.
Work Location Expectation: Most roles for candidates in or near these metro areas (San Francisco, Salt Lake City, Chicago, or New York) are fully onsite. Some roles offer a hybrid schedule of 2–3 days in-office per week
Cool Company Benefits:
- A dynamic, rapidly growing company, focused on helping organizations thrive
- Medical, Dental, & Vision Insurance (for full-time employees)
- Competitive & Fair Pay
- Maternity & paternity leave (for full-time employees)
- Short & long-term disability
- Opportunity to learn from a dedicated leadership team
- Top-of-the-line company swag
Privacy Policy Notice
Filevine will handle your personal information according to what’s outlined in our Privacy Policy.
Communication about this opportunity, or any open role at Filevine, will only come from representatives with email addresses using "filevine.com". Other addresses reaching out are not affiliated with Filevine and should not be responded to.
Location: Independence, Missouri, United States
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
Nebius operates large-scale, GPU-dense AI infrastructure across mission-critical data center environments. As a Senior Delivery Deployment Engineer, you will own the end-to-end delivery, deployment, and production readiness of next-generation GPU platforms inside our data centers. This role sits at the intersection of hardware, Linux systems, and operational execution. You will lead on-site rack bring-up, validate NVIDIA-based AI systems, coordinate repairs, and ensure GB-series infrastructure moves from installation to fully operational production environments with precision and reliability. You will collaborate closely with hardware engineering, networking, and infrastructure teams to deploy and stabilize H200 and B200-based GPU systems at scale.
Your responsibilities will include:
Lead end-to-end deployment of GB-series racks within data center environments
Oversee installation, bring-up, validation, and production readiness of NVIDIA H200 and B200-based servers
Troubleshoot complex hardware, firmware, Linux OS, and networking issues
Execute structured testing and validation procedures during deployment
Develop and maintain basic Linux-based hardware health-check and diagnostic scripts
Coordinate on-site hardware repairs, part replacements, and vendor escalations
Drive root cause analysis and ensure corrective actions are implemented
Manage and prioritize deployment timelines across multiple concurrent rollouts
Provide technical leadership and guidance to on-site engineers and technicians
Partner with networking and infrastructure teams to ensure seamless integration
Document deployment processes, validation standards, and operational runbooks
What we expect you to have:
Strong hands-on experience deploying and operating data center infrastructure
Deep familiarity with GPU-dense systems, ideally NVIDIA H-series platforms
Experience working with high-density rack deployments (GB-series or similar)
Solid Linux experience, including troubleshooting and scripting
Ability to diagnose issues across hardware, OS, firmware, and network layers
Experience coordinating field repairs and working directly with hardware vendors
Proven experience leading technical teams or overseeing field operations
High ownership mindset and ability to operate in production-critical environments
Clear communication skills and ability to collaborate across distributed teams
It will be an added bonus if you have:
Experience deploying AI or HPC clusters at scale
Familiarity with automated provisioning or infrastructure lifecycle systems
Background in hardware qualification, burn-in testing, or factory validation
Experience supporting rapid infrastructure expansion
Exposure to ARM-based or heterogeneous compute environments
Working conditions:
Collaboration with globally distributed engineering and operations teams
Key employee benefits:
Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families
401(k) plan: up to 4% company match with immediate vesting
Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers
Remote work reimbursement: up to $85/month for mobile and internet
Disability & life insurance: company-paid short-term, long-term, and life insurance coverage
Compensation
We offer competitive salaries, ranging from $125k- $180k base + quarterly performance bonuses.
Join Nebius today and help build the software that powers the next generation ofAI infrastructure.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Hong Kong, Hong Kong SAR; 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 looking for a
Principal AI Engineer
to lead the architecture and deployment of large-scale, LLM-powered conversational Chatbot systems serving both enterprise and consumer use cases.
This is a hands-on technical role focused on building
intelligent, autonomous chatbot systems
operating in real-time crypto environments. You will define the technical vision and own end-to-end delivery of production-grade conversational AI platforms.
What You’ll Be Doing
Lead the design, development, and lifecycle management for conversational Chatbots products for enterprise and consumer use cases.
Drive experimentation, simulations, and continuous learning pipelines for Chatbot performance optimization.
Design multi-level intent routing, classifier training, and fallback strategies.
Building dialogue quality evaluation systems.
Drive automated bad-case discovery, A/B testing, and continuous iteration loops.
Ensure system scalability, security, and regulatory compliance of AI-powered solutions in the crypto exchange domain.
What We Look For In You
PhD or Master's in Computer Science, AI, Machine Learning, or related field with at least
10 years of industry experience
.
Deep understanding of the engineering complexity behind industrial dialogue systems, including orchestration layers, intent classification, policy control, and fallback strategies.
Proven experience deploying
large-scale conversational products
(To Business or To Consumer) in production environments.
Hands-on experience designing multi-tier intent routing and training classifiers for high-accuracy task allocation.
Experience building structured dialogue evaluation frameworks (automatic metrics, LLM-as-judge, human review systems, etc.).
Strong experience driving automated bad-case discovery, logging systems, experiment design, and A/B testing frameworks.
Nice to Haves
Experience in top-tier AI labs or Tech industry leaders
Experience in high-frequency trading, fintech, Web3, or crypto platforms is a strong advantage
Startups or research-intensive environments preferred; must be comfortable operating with ambiguity and speed
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: South Korea
THE ROLE
As a Forward Deployed Engineer at Wonderful, you’ll turn complex enterprise workflows into AI agents that work in the real world.
You’ll operate at the intersection of engineering, product, and customer delivery. Embedding directly with enterprise teams, you’ll uncover how their operations actually run, identify where AI can create meaningful value, and build the systems that deliver it.
You’ll lead projects from initial discovery through production deployment, combining customer insight with hands-on engineering. After launch, you’ll measure real-world impact and keep iterating until the solution delivers meaningful results.
This role is for versatile engineers who enjoy combining deep technical work with customer context. You’re comfortable entering unfamiliar environments, asking incisive questions, and shipping practical solutions without waiting for a perfect specification.
WHAT YOU’LL DO
- Embed with customers to understand their workflows, constraints, and measures of success.
- Turn loosely defined operational problems into clear technical plans and production systems.
- Design and build AI agents that integrate with customer tools, data, and business processes.
- Own deployments from prototype through launch, monitoring, and continuous improvement.
- Test with real-world data, measure business outcomes, and iterate based on evidence.
- Make pragmatic tradeoffs across architecture, reliability, speed, and user experience.
- Partner closely with Wonderful’s Product and Engineering teams to improve the core platform.
- Turn lessons from individual deployments into reusable tools, patterns, and best practices.
WHAT WE’RE LOOKING FOR
- 5+ years of experience building software or solving complex technical problems.
- Strong foundations in software architecture, system design, and production engineering.
- Experience working across APIs, integrations, data flows, and distributed systems.
- The ability to bring structure and momentum to ambiguous problems.
- Confidence working directly with customers, from operational teams to technical stakeholders.
- Clear communication, sound judgment, and a strong sense of ownership.
- Genuine curiosity about applied AI and its potential to transform how businesses operate.
NICE TO HAVE
- Experience in a forward-deployed, solutions engineering, consulting, or customer-facing technical role.
- Experience building AI agents, workflow automation, or conversational systems.
- Familiarity with LLM evaluation, observability, and reliability in production.
- Experience deploying and improving systems in complex enterprise environments.
Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice
Location: Singapore
Workplace: Hybrid
THE ROLE
As a Forward Deployed Engineer at Wonderful, you’ll turn complex enterprise workflows into AI agents that work in the real world.
You’ll operate at the intersection of engineering, product, and customer delivery. Embedding directly with enterprise teams, you’ll uncover how their operations actually run, identify where AI can create meaningful value, and build the systems that deliver it.
You’ll lead projects from initial discovery through production deployment, combining customer insight with hands-on engineering. After launch, you’ll measure real-world impact and keep iterating until the solution delivers meaningful results.
This role is for versatile engineers who enjoy combining deep technical work with customer context. You’re comfortable entering unfamiliar environments, asking incisive questions, and shipping practical solutions without waiting for a perfect specification.
WHAT YOU’LL DO
- Embed with customers to understand their workflows, constraints, and measures of success.
- Turn loosely defined operational problems into clear technical plans and production systems.
- Design and build AI agents that integrate with customer tools, data, and business processes.
- Own deployments from prototype through launch, monitoring, and continuous improvement.
- Test with real-world data, measure business outcomes, and iterate based on evidence.
- Make pragmatic tradeoffs across architecture, reliability, speed, and user experience.
- Partner closely with Wonderful’s Product and Engineering teams to improve the core platform.
- Turn lessons from individual deployments into reusable tools, patterns, and best practices.
WHAT WE’RE LOOKING FOR
- 5+ years of experience building software or solving complex technical problems.
- Strong foundations in software architecture, system design, and production engineering.
- Experience working across APIs, integrations, data flows, and distributed systems.
- The ability to bring structure and momentum to ambiguous problems.
- Confidence working directly with customers, from operational teams to technical stakeholders.
- Clear communication, sound judgment, and a strong sense of ownership.
- Genuine curiosity about applied AI and its potential to transform how businesses operate.
NICE TO HAVE
- Experience in a forward-deployed, solutions engineering, consulting, or customer-facing technical role.
- Experience building AI agents, workflow automation, or conversational systems.
- Familiarity with LLM evaluation, observability, and reliability in production.
- Experience deploying and improving systems in complex enterprise environments.
Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice
Location: Japan
THE ROLE
As a Forward Deployed Engineer at Wonderful, you’ll turn complex enterprise workflows into AI agents that work in the real world.
You’ll operate at the intersection of engineering, product, and customer delivery. Embedding directly with enterprise teams, you’ll uncover how their operations actually run, identify where AI can create meaningful value, and build the systems that deliver it.
You’ll lead projects from initial discovery through production deployment, combining customer insight with hands-on engineering. After launch, you’ll measure real-world impact and keep iterating until the solution delivers meaningful results.
This role is for versatile engineers who enjoy combining deep technical work with customer context. You’re comfortable entering unfamiliar environments, asking incisive questions, and shipping practical solutions without waiting for a perfect specification.
WHAT YOU’LL DO
- Embed with customers to understand their workflows, constraints, and measures of success.
- Turn loosely defined operational problems into clear technical plans and production systems.
- Design and build AI agents that integrate with customer tools, data, and business processes.
- Own deployments from prototype through launch, monitoring, and continuous improvement.
- Test with real-world data, measure business outcomes, and iterate based on evidence.
- Make pragmatic tradeoffs across architecture, reliability, speed, and user experience.
- Partner closely with Wonderful’s Product and Engineering teams to improve the core platform.
- Turn lessons from individual deployments into reusable tools, patterns, and best practices.
WHAT WE’RE LOOKING FOR
- Minimum of 5+ years of experience in software engineering or technical problem-solving roles
- Strong fundamentals in software design, system thinking
- Communication skills in Japanese: Business to fluent-level (fluent to native-level is preferred) as the role will be working quite closely with stakeholders at traditional Japanese enterprise companies.
- Communications skills in English: Business-level
- Experience working across systems, integrations, and data flows
- Clear communication skills and a strong ownership mindset: comfortable working directly with customers and owning ambiguous problems
- Curiosity and interest in building AI-powered systems that work in practice
- Proficiency in Software Development and Programming, with experience building production-grade applications.
- Hands-on experience in Back-End Development, including APIs, databases, and cloud or distributed systems.
- Solid understanding of Object-Oriented Programming (OOP) principles and their application in large-scale codebases.
- Experience integrating AI or data-driven services into enterprise environments is a plus.
- Ability to work directly with customers, gather requirements, and translate business needs into technical solutions.
- Comfort with rapid prototyping, debugging in complex systems, and iterating in collaboration with cross-functional teams.
- Eligibility to work in Japan
NICE TO HAVE
- Experience in a forward-deployed, solutions engineering, consulting, or customer-facing technical role.
- Experience building AI agents, workflow automation, or conversational systems.
- Familiarity with LLM evaluation, observability, and reliability in production.
- Experience deploying and improving systems in complex enterprise environments.
Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice
Location: Indonesia
THE ROLE
As a Forward Deployed Engineer at Wonderful, you’ll turn complex enterprise workflows into AI agents that work in the real world.
You’ll operate at the intersection of engineering, product, and customer delivery. Embedding directly with enterprise teams, you’ll uncover how their operations actually run, identify where AI can create meaningful value, and build the systems that deliver it.
You’ll lead projects from initial discovery through production deployment, combining customer insight with hands-on engineering. After launch, you’ll measure real-world impact and keep iterating until the solution delivers meaningful results.
This role is for versatile engineers who enjoy combining deep technical work with customer context. You’re comfortable entering unfamiliar environments, asking incisive questions, and shipping practical solutions without waiting for a perfect specification.
WHAT YOU’LL DO
- Embed with customers to understand their workflows, constraints, and measures of success.
- Turn loosely defined operational problems into clear technical plans and production systems.
- Design and build AI agents that integrate with customer tools, data, and business processes.
- Own deployments from prototype through launch, monitoring, and continuous improvement.
- Test with real-world data, measure business outcomes, and iterate based on evidence.
- Make pragmatic tradeoffs across architecture, reliability, speed, and user experience.
- Partner closely with Wonderful’s Product and Engineering teams to improve the core platform.
- Turn lessons from individual deployments into reusable tools, patterns, and best practices.
WHAT WE’RE LOOKING FOR
- 5+ years of experience building software or solving complex technical problems.
- Strong foundations in software architecture, system design, and production engineering.
- Experience working across APIs, integrations, data flows, and distributed systems.
- The ability to bring structure and momentum to ambiguous problems.
- Confidence working directly with customers, from operational teams to technical stakeholders.
- Clear communication, sound judgment, and a strong sense of ownership.
- Genuine curiosity about applied AI and its potential to transform how businesses operate.
NICE TO HAVE
- Experience in a forward-deployed, solutions engineering, consulting, or customer-facing technical role.
- Experience building AI agents, workflow automation, or conversational systems.
- Familiarity with LLM evaluation, observability, and reliability in production.
- Experience deploying and improving systems in complex enterprise environments.
Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice
Location: Hong Kong
THE ROLE
As a Forward Deployed Engineer at Wonderful, you’ll turn complex enterprise workflows into AI agents that work in the real world.
You’ll operate at the intersection of engineering, product, and customer delivery. Embedding directly with enterprise teams, you’ll uncover how their operations actually run, identify where AI can create meaningful value, and build the systems that deliver it.
You’ll lead projects from initial discovery through production deployment, combining customer insight with hands-on engineering. After launch, you’ll measure real-world impact and keep iterating until the solution delivers meaningful results.
This role is for versatile engineers who enjoy combining deep technical work with customer context. You’re comfortable entering unfamiliar environments, asking incisive questions, and shipping practical solutions without waiting for a perfect specification.
WHAT YOU’LL DO
- Embed with customers to understand their workflows, constraints, and measures of success.
- Turn loosely defined operational problems into clear technical plans and production systems.
- Design and build AI agents that integrate with customer tools, data, and business processes.
- Own deployments from prototype through launch, monitoring, and continuous improvement.
- Test with real-world data, measure business outcomes, and iterate based on evidence.
- Make pragmatic tradeoffs across architecture, reliability, speed, and user experience.
- Partner closely with Wonderful’s Product and Engineering teams to improve the core platform.
- Turn lessons from individual deployments into reusable tools, patterns, and best practices.
WHAT WE’RE LOOKING FOR
- 5+ years of experience building software or solving complex technical problems.
- Strong foundations in software architecture, system design, and production engineering.
- Experience working across APIs, integrations, data flows, and distributed systems.
- The ability to bring structure and momentum to ambiguous problems.
- Confidence working directly with customers, from operational teams to technical stakeholders.
- Clear communication, sound judgment, and a strong sense of ownership.
- Genuine curiosity about applied AI and its potential to transform how businesses operate.
NICE TO HAVE
- Experience in a forward-deployed, solutions engineering, consulting, or customer-facing technical role.
- Experience building AI agents, workflow automation, or conversational systems.
- Familiarity with LLM evaluation, observability, and reliability in production.
- Experience deploying and improving systems in complex enterprise environments.
Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice
Location: Australia
THE ROLE
As a Forward Deployed Engineer at Wonderful, you’ll turn complex enterprise workflows into AI agents that work in the real world.
You’ll operate at the intersection of engineering, product, and customer delivery. Embedding directly with enterprise teams, you’ll uncover how their operations actually run, identify where AI can create meaningful value, and build the systems that deliver it.
You’ll lead projects from initial discovery through production deployment, combining customer insight with hands-on engineering. After launch, you’ll measure real-world impact and keep iterating until the solution delivers meaningful results.
This role is for versatile engineers who enjoy combining deep technical work with customer context. You’re comfortable entering unfamiliar environments, asking incisive questions, and shipping practical solutions without waiting for a perfect specification.
WHAT YOU’LL DO
- Embed with customers to understand their workflows, constraints, and measures of success.
- Turn loosely defined operational problems into clear technical plans and production systems.
- Design and build AI agents that integrate with customer tools, data, and business processes.
- Own deployments from prototype through launch, monitoring, and continuous improvement.
- Test with real-world data, measure business outcomes, and iterate based on evidence.
- Make pragmatic tradeoffs across architecture, reliability, speed, and user experience.
- Partner closely with Wonderful’s Product and Engineering teams to improve the core platform.
- Turn lessons from individual deployments into reusable tools, patterns, and best practices.
WHAT WE’RE LOOKING FOR
- 5+ years of experience building software or solving complex technical problems.
- Strong foundations in software architecture, system design, and production engineering.
- Experience working across APIs, integrations, data flows, and distributed systems.
- The ability to bring structure and momentum to ambiguous problems.
- Confidence working directly with customers, from operational teams to technical stakeholders.
- Clear communication, sound judgment, and a strong sense of ownership.
- Genuine curiosity about applied AI and its potential to transform how businesses operate.
NICE TO HAVE
- Experience in a forward-deployed, solutions engineering, consulting, or customer-facing technical role.
- Experience building AI agents, workflow automation, or conversational systems.
- Familiarity with LLM evaluation, observability, and reliability in production.
- Experience deploying and improving systems in complex enterprise environments.
Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice
Location: Toulouse; Bordeaux; Montpellier
Workplace: remote
Ajax Systems is an international tech company and the largest manufacturer of security systems in Europe, with over 4.5 million end users and 330K PRO users in more than 180 countries worldwide. The company offers end-to-end solutions for protecting homes and businesses оf any scale. To date, Ajax product portfolio includes 280 devices for intrusion protection, video surveillance, fire and life safety, and comfort and automation. The company employs 5, 000 specialists.
We develop local teams because we understand local experts best comprehend market specifics. The company has sales representatives worldwide, including Italy, Spain, Germany, France, the United Kingdom, the USA, Australia, South Africa and other regions. The Global Business Development team is like-minded people who share the ambitious goals of Ajax Systems.
The best software combined with powerful hardware has forever changed the perception of security systems for users and industry professionals. Being recognized at the biggest specialized exhibitions such as IFSEC, Expoprotection and Intersec, as well as winning prestigious awards from industry-leading media like PSI magazine and GIT SECURITY, today Ajax is one of the most awarded security systems in Europe.
Ajax Systems production includes four factories, two of which are located in Ukraine, one in Turkey and one in Vietnam. At the same time, the company's certification according to the ISO 14001 standard ensures a minimal impact of production on the environment. The selection of components for Ajax device manufacturing is determined by the presence of manufacturer declarations confirming compliance with RoHS requirements.
The company emerged against the backdrop of revolution and war. That's why resilience is the cornerstone of the brand's DNA, and the fight against evil by creating the best security and automation devices is Ajax unwavering mission.
Responsibilities:
Conduct on-site demonstrations and provide support within distributor branches to showcase our products and solutions to electricians and project teams.
Collaborate with distributor sales teams to support customer visits and live demonstrations, ensuring effective communication and technical assistance.
Facilitate training sessions, both commercial and technical, for distributor branches to enhance product knowledge and sales effectiveness.
Provide support for various events organized by distributors or our company, offering expertise from both commercial and technical perspectives.
Act as a liaison between customers and our headquarters (HO), filtering and forwarding technical inquiries and requests to the appropriate channels.
Coordinate and deliver certification programs, either through local sessions or webinars, to educate electrical customers on our products and solutions.
Regularly update selected distributor branches on new products, features, and functionalities, ensuring they are well-informed and equipped to promote our offerings effectively.
Conduct quarterly webinars for electrical installers, covering core technologies, new product releases, and updates on features and functionalities.
Key requirements:
Experience in the intrusion market and electrical distribution market.
Strong technical background with a deep understanding of electrical systems and products.
Excellent communication skills, both verbal and written, to effectively interact with customers and internal teams.
A proactive and motivated individual with a "winner spirit" and a collaborative team spirit.
Highly organized with the ability to manage multiple tasks and priorities effectively.
Curiosity and passion for exploring new technologies and solutions within the security market.
We offer:
Opportunity to work in one of the most recognised and innovative security manufacturers.
As we continue to scale, you'll have the opportunity to take on new challenges, advance your career, and make a meaningful impact.
When you join our team, you will be part of a fast-paced and dynamic environment that encourages creativity, critical thinking, and the exploration of new ideas. Also, you will have the opportunity to deepen your knowledge of the industry and work with cutting-edge technologies.
We offer competitive compensation that includes a base salary and performance-related commissions.
We cover a company car and all business expenses.
Location: Global (Remote)
Workplace: Remote
Head of Research & Development (R&D)
Location: Global (Remote)
Reports to: CEO
Employment Type: Full-time
MISSION AT RWAZI
Rwazi’s long-term advantage depends on expanding the frontier of what decision systems can reason about.
The Head of R&D owns long-horizon capability development — exploring, prototyping, and formalizing the next generation of decision intelligence that will power future versions of Rwazi’s platform.
This role operates beyond immediate roadmap pressures.
It identifies structural opportunities in reasoning systems, signal modeling, AI-assisted judgment, and decision automation — and transforms them into foundational capabilities.
The Head of R&D defines what Rwazi becomes 3–5 years from now.
CORE MANDATE
The Head of R&D is accountable for:
- Advancing future decision system architectures
- Formalizing higher-order reasoning capabilities
- Exploring new signal classes and evaluation logic
- Identifying structural AI leverage points
- Converting research into reusable system primitives
This is a capability-building role, not a feature-delivery function.
KEY RESPONSIBILITIES
LONG-HORIZON CAPABILITY EXPLORATION
- Identify unsolved reasoning challenges within Rwazi’s domain
- Explore advanced decision frameworks beyond current product constraints
- Develop conceptual models for higher-order AI reasoning systems
- Investigate new signal environments and structured judgment methods
PROTOTYPE & FORMALIZATION
- Build experimental prototypes to test new system architectures
- Formalize reasoning patterns into structured logic frameworks
- Create reusable primitives that Product and Engineering can adopt
- Document system logic in technically rigorous formats
AI & DECISION SYSTEMS ADVANCEMENT
- Push beyond current signal-to-output pipelines
- Explore multi-layer reasoning and tradeoff modeling
- Design evaluation criteria for increasingly complex decisions
- Anticipate future enterprise use cases and model their structural requirements
STRATEGIC INTERFACE WITH EXECUTIVE LEADERSHIP
- Advise CEO on long-term technical differentiation strategy
- Translate research insights into strategic investment decisions
- Identify potential defensibility moats
RESEARCH GOVERNANCE
- Define standards for experimentation rigor
- Establish evaluation frameworks for prototype validation
- Maintain clarity between exploratory work and production systems
ROLE IMPACT
Strong performance in this role results in:
- Structural differentiation in decision intelligence
- New classes of solvable enterprise questions
- Expansion of AI-assisted reasoning depth
- Long-term defensibility against competitors
- Research-driven product evolution
This role ensures Rwazi does not stagnate at feature-level innovation.
WHAT THIS ROLE IS NOT
- This is not roadmap feature delivery
- This is not short-term optimization
- This is not pure academic research detached from application
- This is not reactive problem-solving
This role requires frontier thinking and disciplined formalization.
QUALIFICATIONS AND PROFILE
We are looking for individuals who demonstrate:
- Deep systems thinking and formal reasoning ability
- Experience designing structured decision frameworks
- Strong understanding of AI systems, modeling logic, or computational reasoning
- Ability to translate abstract research into usable system components
- Comfort operating autonomously at high strategic altitude
- Demonstrated work on complex, ambiguous problems
Candidates may come from applied research, AI system design, computational modeling, advanced analytics, or technically rigorous environments.
CULTURAL FIT
We value leaders who:
- Think in decades, not quarters
- Formalize ideas with intellectual rigor
- Challenge existing system boundaries
- Operate independently without constant direction
- Care about structural innovation over incremental gain
This role is suited for builders who want to shape the long-term intelligence core of an AI-native company.
How Candidates Are Evaluated
Candidates are evaluated based on:
- Their ability to formalize complex reasoning into structured systems
- Evidence of pushing technical or decision boundaries
- Clarity of thought in ambiguous domains
- Ability to design experiments with rigor
- Strategic alignment with long-term capability building
We prioritize demonstrated intellectual depth and system-building ability over conventional titles.
SUMMARY
The Head of R&D defines the next generation of Rwazi’s decision intelligence.
This role ensures that as the market evolves, Rwazi advances beyond incremental product iteration — and continues to expand the frontier of what enterprise decision systems can reason about.
Location: San Francisco, CA • New York, NY • United States
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
As the Engineering Manager for Observability, you'll lead the team building the systems that show Figma how its platform and its AI products actually behave in production. That spans our core observability stack, meaning metrics, logs, and distributed tracing, as well as a fast-growing new frontier: the AI observability pipeline that turns traces, conversations, and model outputs into the classification and evals that make Figma's AI features measurably better. You'll set strategy across both, raise the bar on instrumentation and data quality, and push into AI-driven approaches to anomaly detection and operational automation. Observability was an unowned space at Figma until recently, so this is a rare chance to shape an early-stage, high-leverage platform that every engineering team here depends on.
This is a full time role that can be held from one of our US hubs or remotely in the United States.
What you’ll do at Figma:
Lead and grow a 6 engineer team responsible for the reliability, scalability, and evolution of Figma's observability and AI observability platforms.
Own and evolve the AI observability ecosystem: a privacy-safe telemetry pipeline that aggregates trace, conversation, and model data, runs classification, and lets teams run evals to measure and improve AI feature quality.
Own Figma's core observability stack, including platforms like Datadog, ensuring high availability, strong data quality, and a healthy signal-to-noise ratio across metrics, logs, and traces.
Set the technical strategy for the instrumentation standards, libraries, agents, and operators that monitor services across the company.
Explore and ship AI-driven approaches to anomaly detection, root cause analysis, signal correlation, and operational automation.
Partner across infrastructure, product engineering, finance, and security to give teams clear visibility into system health at scale, including cost efficiency as the team's scope grows.
Coach and develop engineers through career growth, feedback, and technical leadership, building a culture of ownership and high-quality execution.
We'd love to hear from you if you have:
4+ years of experience leading and growing engineering teams in infrastructure, observability, platform, or AI systems, with a track record of delivering reliable production systems at scale.
A strong foundation in distributed systems and a platform mindset: you build systems other teams adopt and rely on, not just for your own team.
Hands-on depth in observability, AI systems telemetry, or both, whether that means metrics, logs, and distributed tracing, or the traces, classification, and evals that power AI products.
Fluency with the modern tooling in your area, such as Datadog, OpenTelemetry, and Prometheus, or LLM tracing, prompt and model versioning, and eval workflows.
A high operational bar (instrumentation and data quality, SLO design, incident response) and the ability to set technical direction and drive cross-functional alignment in complex environments.
While not required, it’s an added plus if you also have:
Breadth across both classic observability and AI observability, or the curiosity to grow into whichever is newer to you.
Experience creating AI Telemetry-assisted improvement feedback loops for services, in particular for AI products and features.
Experience improving infrastructure efficiency, including cost attribution, forecasting, vendor negotiation, and usage modeling.
A track record designing company-wide observability standards, shared libraries, and agent or operator-based integrations.
Experience applying AI or machine learning to anomaly detection, root cause analysis, or operational automation.
Experience scaling and mentoring high-performing teams through platform expansion or major architectural change.
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Pay Transparency Disclosure
Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location.
Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law.
Annual Base Salary Range:
$258,000
—
$376,000 USD
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an
equal opportunity workplace
- we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
,
or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to
accommodations-ext@figma.com
. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with
Figma's Candidate Privacy Notice
.
Application limits:
To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
Candidates may submit up to 5 applications during any rolling 30-day period.
Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
Location: United States & Canada
Workplace: Remote
About WorkOS 🚀
WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations.
We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid.
As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products.
ABOUT THE ROLE
We're growing our Applied AI team to dramatically increase productivity across Engineering, Sales, Support, and Operations, and to ship AI-powered products that customers rely on directly.
As an Applied AI Engineer, you'll design and ship production AI systems that change how WorkOS builds, sells, supports, and scales. You’ll also be building things that WorkOS customers use, and systems that the entire company depends on daily.
You'll work on a small, high-ownership team that:
- Chooses problems based on measurable impact
- Moves from idea → prototype → production in days or weeks
- Ships at both layers: internal leverage and customer-facing product
- Adapts quickly as models, tools, and best practices evolve
This is a 0→1 role with company-wide visibility.
What you'll do
- Design and ship customer-facing AI products like ask.workos.com http://ask.workos.com, AI support bots embedded in customer Slack channels, and new surfaces we haven't built yet
- Build internal tools that become part of people's daily work: agents, automations, and workflows that are stable, observable, and easy to maintain
- Work on big bets: a unified bot framework, a sandboxed coding harness agent, and infrastructure that lets the entire company ship
- Use LLMs, embeddings, retrieval, and tool-calling to plug into docs, Slack, GitHub, CRM, analytics, support systems, and internal services
- Replace repetitive, multi-step manual processes with orchestrated, AI-driven flows that span multiple apps and data sources
- Stay current on new models and tooling, run focused experiments, and help the team converge on patterns, libraries, and infrastructure that compound over time
Example problems you might work on
- A sandboxed coding harness that can safely take a bug report or feature spec all the way to a deployed change
- A unified bot framework that powers every AI touchpoint, internal and customer-facing from a single, observable backbone
- A GTM intelligence layer that gives reps live account context, meeting prep, and follow-up from CRM, product usage, and conversation history
- Turning noisy, cross-tool workflows (tickets, Slack threads, docs) into a single agent that handles triage, routing, and suggested actions
- Infrastructure that lets any WorkOS team ship a reliable internal AI app without reinventing the stack
What we're looking for
- You've taken AI-powered systems from idea to production and through at least one iteration cycle with real users
- Strong engineering fundamentals. You're comfortable owning services, data flows, and integrations end-to-end
- Experience building with LLM APIs
- You think about failure modes, observability, and ownership, not just whether the demo works
- Bias toward action. You care less about the model and more about removing real bottlenecks, saving hours, or unlocking workflows the company couldn't do before
- Comfort with ambiguity and fast change. The problem, the tools, and the "right" patterns are all evolving, you're excited to help define them
Nice to have
- Prior work on customer-facing AI products
- Experience with embeddings, retrieval/RAG architectures, and structured tool-calling or agents
- Exposure to MCP or similar protocols for connecting AI agents to real systems
Benefits and Perks (US Only) 💖
At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.
- 401k matching
- Competitive Equity
- Healthcare, dental and vision coverage
- FSA, ST/LT Disability, Voluntary Life
- Carrot fertility benefits
- 20 days paid vacation + 10 holidays + unlimited sick leave
- 12 weeks fully paid parental leave
- Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active
- Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being
- Commuter benefits for hybrid employees in SF/NYC
- Unlimited token usage!
Please inquire directly with our recruiting team for benefits available to those working outside the US.
Equal Opportunity Employer
WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: Porto, Portugal
Workplace: hybrid
TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization.
We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact?
Responsibilities
Design, build, and operate secure, scalable, highly available Azure infrastructure powering TeamViewer’s global SaaS platform
Manage and optimize Kubernetes platforms using GitOps practices and Infrastructure as Code.
Develop CI/CD pipelines, automation, and operational tooling to improve delivery speed, security, and developer productivity
Implement monitoring, logging, and observability solutions to ensure platform reliability, performance, and visibility
Drive platform performance, scalability, security, and cost optimization while supporting incident response and on-call operations
Mentor engineers and partner across Engineering, Product, Security, and Platform teams to advance cloud-native best practices
Requirements
Degree in Computer Science, Software Engineering, or equivalent practical experience
5+ years experience as a Senior DevOps, Platform, or Cloud Engineer in high-availability SaaS environments
Strong expertise in Azure, Infrastructure as Code (Terraform/Bicep), Kubernetes, containers, and GitOps tools such as Argo CD
Hands-on experience with CI/CD platforms, scripting (Python, Bash, PowerShell), and automation.
Knowledge of observability, cloud networking, microservices, infrastructure security, identity management (e.g., Entra, Keycloak), and relational databases
Strong problem-solving, automation, and mentoring skills; experience with Java, Go, SQL, AWS, or GCP is a plus
What we offer
Onsite Onboarding
in our HQ office for an optimal start
Great compensation and benefits packages
including company achievement bonus or sales bonus and regular salary reviews
Public transport friendly
offices
Special terms
for local gyms
Access to
Corporate Benefits platform
with many
discounts
Regular
Team events
and company-wide celebrations
Open door policy
, no dress code rules, frequent all Hands and Leadership Lunches
Hybrid
and
Flexible
work time with up to 50% home office
Work From Abroad Program
allowing up to 40 days of work outside your contracting country
We celebrate
diversity
as one of core values, join and drive one of the c-a-r-e initiatives together with us!
TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race.
If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you.
ОфисСША; Work Location Expectation: Most roles for candidates in or near these metro areas (San Francisco, Salt Lake City, Chicago, or New York) are fully onsite
Independence, Missouri, United States
Hong Kong, Hong Kong SAR; Singapore, Singapore
South Korea
ГибридSingapore
Japan
Indonesia
Hong Kong
Australia
УдалённоГеография найма не уточнена
УдалённоheadМожно работать из любой страны
San Francisco, CA • New York, NY • United States
УдалённоUnited States & Canada; Benefits and Perks (US Only) 💖