Location: Remote - European Region
Workplace: hybrid
Coinspaid Dev is the engineering brand behind the technology, infrastructure, and R&D expertise built within Coinspaid. With more than 120 engineersand over 11 years of industry experience, Coinspaid Dev brings together software engineering, infrastructure, security and R&D teams with experience building distributed systems and blockchain infrastructure operating across more than 20 blockchain networks.
Coinspaid Dev emerges as an independent engineering brand with a straightforward mission: to advance blockchain infrastructure engineering and contribute practical expertise back to the industry. The structure is new. The experience behind it is not.
Responsibilities:
Manage and troubleshoot complex distributed large-scale software systems
Build scalable, secure and reliable container-based infrastructure
Automate software delivery processes with CI/CD pipelines
Collaborate within DevOps, development, security, compliance teams
Ensure the security and stability of the infrastructure
Improvement and strengthening DRP
On-going DevOps activities in support of development/deployment/testing processes
Requirements:
3+ years of experience in DevOps, SRE, or data platform/infrastructure related field
Experience of operating stateful/distributed systems in production, good understanding of systems fundamentals (networking, storage, scaling)
Hands-on experience with cloud platforms (Azure, AWS, or GCP) and Kubernetes
Experience with Infrastructure as Code (e.g., Terraform)
Familiarity with modern deployment practices (e.g., GitOps with ArgoCD/Flux)
Development and scripting skills (Python, Bash)
Expertise in any observability solutions (Prometheus stack, etc)
Linux system administration expertise
Understanding of DevOps security principles
Troubleshooting skills
Good communication skills
Proficiency in English and Russian, written and verbal
Nice to have:
Terragrunt
Azure, and/or GCP
Why join CryptoProcessing by Coinspaid
You’ll be joining a company that is actively shaping its space – with enough scale to matter and enough room to make an impact.
At Coinspaid, people are expected to think, contribute, and take ownership – and are supported in doing so.
We focus on flexibility, wellbeing, and long-term growth – without overcomplicating how benefits work.
Flexible Benefits
Benefit Bar – up to €230/monthA flexible monthly budget you can use for what matters most to you – from sports and mental health to coworking, home office, or medical-related expenses.
Work & Flexibility
Fully remote work from almost anywhere
Optional offices and relocation support
Flexible, async-friendly environment
Growth & Learning
Budget for courses, certifications, and professional development
Language learning support
Cross-team learning and knowledge sharing
Wellbeing & Support
Medical insurance or reimbursement depending on location
Access to mental health support
Financial support for important life events
Extras
Merch shop with rewards system
Team offsites and company events
Sounds good? Well then, we can’t wait to see your resume!
To learn more please visit: https://coinspaid.com/about-us/ & https://coinspaid.com/careers/
Location: Bengaluru, Karnataka, India, APAC
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
dbt Fusion is building the next generation of data execution and connectivity infrastructure, enabling dbt workloads to run efficiently across diverse compute engines and data platforms. As a Senior Engineer on the Fusion Adapters and Connectivity team, you’ll design and ship core abstractions powering how dbt communicates with execution systems — leveraging Rust, Go, Arrow, and emerging open standards. This is a rare opportunity to work at the intersection of systems programming, database internals, and high-visibility open-source development. Your work will shape a foundational platform leveraged across the dbt ecosystem and the broader data community.
What You’ll Do
Design, build, and maintain Rust-first connectivity layers, execution APIs, and adapter scaffolding.
Partner with teams building the dbt compiler, semantic layer, and runtime to evolve adapter interfaces and system boundaries.
Contribute to Arrow/ADBC and other open-source specifications or implementations, strengthening the data ecosystem.
Own CI, testing frameworks, profiling, error reporting surfaces, and release readiness for Fusion adapters.
Debug complex interoperability and performance issues across drivers, engines, and compute domains.
Collaborate with internal and community maintainers to review PRs, write RFCs, and evolve public code architectures.
Mentor engineers on systems best practices and contribute to shared patterns around resilience, debuggability, and API clarity.
Skills We’re Looking For
Strong programming background in Rust, Go, C++ or similar performance-oriented languages.
Experience designing or maintaining SDKs, libraries, connectors, or compute/data integration codebases.
Exposure to data warehouses, query engines, Arrow/columnar ecosystems, or execution runtimes.
A desire to build foundational platform components that other teams and community members rely on.
Comfort working in public code review loops, async-first communication, and collaborative RFC processes.
A mindset grounded in debuggability, reliability, and ownership in ambiguous problem spaces.
You’ll have an edge if you have:
Contributed to or interacted with Arrow, ADBC, DuckDB, Presto, DataFusion, Spark, ClickHouse, or similar engines.
Experience shaping adapter/plugin standards, driver contracts, or architectural interfaces used by others.
Familiarity with Rust async ecosystems (tokio, tower, tracing) or Go concurrency practices.
Prior OSS governance experience — triaging issues, reviewing PRs, or working with community maintainers.
An interest in building developer-experience layers or scaffolding frameworks for adapter authors.
Qualifications:
6+ years experience in software engineering, with strong systems-level skills.
2+ years working in open-source, SDK, runtime, or low-level integration environments.
Bachelor’s degree in Computer Science / related field or equivalent experience through industry OSS contributions.
#LI-REMOTE
#LI-SA1
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: London
Workplace: OnSite
Company Description
We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day.
We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers.
Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.
If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact.
With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started.
JOB DESCRIPTION
Global payments are complex and ever-evolving. At Checkout our software engineers develop the next-generation payments technologies that enable our Merchants to boost their acceptance rates, cut processing costs, fight fraud, and create cutting edge technology that enables extraordinary customer experiences.
We're looking for Senior Software engineers who bring fresh ideas, have a curious nature and are passionate about working in an Engineering environment which focuses on building products to achieve the company's strategic goals. You’ll get to work with teams from across Checkout.com http://Checkout.com’s portfolio of products and services who all have a real customer first philosophy.
As a Senior Software engineer, you will lead and drive specific projects critical to Checkout's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display exceptional leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. With your technical expertise you will lead project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
What are we looking for:
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- Proficiency in C# .NET, Java, or Go, with a strong understanding of software development principles in either a backend or full stack environment.
- Great communication skills and ability to interact effectively with a wide range of stakeholders
- Experience working in agile environments and delivering high-quality code within tight deadlines
- Excellent problem-solving skills and the ability to work independently as well as part of a team
- Someone who is AI proficient or AI curious, you will be hungry to embrace what the latest technology has to offer to enhance yours and your teams productivity
- Payments or financial knowledge is a plus, but not a necessity
How you’ll make an impact:
- Be part of, and collaborate with, cross-functional teams including product management, across a large engineering community.
- Define and design loosely coupled, scalable systems in a wider microservices using industry best practices.
- Stay up-to-date, use, and spread knowledge of the latest technologies used by Checkout.
- Write clean, maintainable, extendable and testable code on some of Checkout’s most impactful systems.
- Build, own and operate your systems to the highest levels of resilience and service.
- Mentor junior team members and assist in their technical development
Additional Information
Bring all of you to work
We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.
Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.
We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.
It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.
Life at Checkout.com http://Checkout.com
We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us.
For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/
Location: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We are seeking a Senior Systems Engineer – Software & Autonomy to support the definition, architecture, integration, and verification of the software systems that enable our humanoid robotic platform.
The role will work across perception, localisation, navigation, artificial intelligence, motion planning, controls, ROS 2 platform software, simulation, deployment, and diagnostics. You will collaborate with software leads and subject matter experts to translate product and operational needs into coherent capabilities, requirements, architectures, interfaces, integration plans, and verification criteria.
This is a systems engineering position focused on the robot’s software and autonomy stack. It is not primarily a firmware development or electrical engineering role.
WHAT YOU'LL DO
- Obtain input from system leaders, product teams, and technical subject matter experts to translate stakeholder needs into clear and verifiable system and software requirements.
- Define the software capabilities required to support humanoid robot behaviours, operational use cases, and product objectives.
- Decompose system-level capabilities across perception, navigation, AI, planning, controls, core platform, and supporting software services.
- Develop and maintain the functional and logical architecture of the robot’s software and autonomy stack.
- Define system boundaries, responsibilities, dependencies, and interfaces between software components and technical teams.
- Establish interface requirements covering data ownership, message definitions, coordinate frames, units, timing, latency, synchronization, quality indicators, fault handling, and degraded operation.
- Support architectural decisions involving, middleware, compute allocation, networking, simulation, software deployment, and distributed execution.
- Coordinate integration across perception, navigation, AI, controls, platform software, firmware, electronics, sensors, actuators, and mechanical systems.
- Identify cross-team assumptions, dependencies, architectural conflicts, and missing functionality before they become late-stage integration issues.
- Define integration stages, entry and exit criteria, required test environments, and readiness expectations.
- Lead or support the investigation of complex system-level issues involving multiple software components or interactions between software and hardware.
- Define nominal, degraded, recovery, fallback, and safe-state behaviours for software-intensive functions.
- Develop system-level verification and validation strategies for autonomous robotic capabilities.
- Establish measurable performance and acceptance criteria for perception, localization, navigation, planning, controls, AI, and integrated robot behaviours.
- Support scenario-based testing using simulation, software-in-the-loop, hardware-in-the-loop, laboratory testing, and physical robot testing.
- Maintain traceability between use cases, requirements, architecture, implementation, tests, and verification evidence.
- Work with safety engineers to ensure software behaviours support system safety requirements and hazard mitigations.
- Facilitate requirement, architecture, interface, integration, and system-readiness reviews.
- Communicate technical risks, capability limitations, integration status, and architectural trade-offs to engineering and program leadership.
- Coach engineering teams in practical systems engineering methods appropriate for an iterative robotics development environment.
WHAT WE'RE LOOKING FOR
- Bachelor’s or Master’s degree in Systems Engineering, Software Engineering, Computer Science, Robotics, Mechatronics, Controls Engineering, or a related field.
- Five or more years of experience in systems engineering, robotics software, software architecture, autonomous systems, or a related technical domain.
- Experience working with complex software-intensive or cyber-physical systems composed of multiple interacting subsystems.
- Strong knowledge of requirements engineering, architecture definition, interface management, integration, verification, validation, and traceability.
- Technical experience in several of the following areas:
- ROS or ROS 2
- Robotics software
- Perception and sensor fusion
- Localization, mapping, and navigation
- Motion or behaviour planning
- Manipulation, locomotion, or whole-body controls
- Artificial intelligence or machine learning
- Simulation and virtual testing
- Distributed or real-time software systems
- Ability to understand and evaluate software behaviour without being the primary implementation owner for every component.
- Experience defining measurable acceptance criteria for complex system behaviours.
- Ability to investigate issues spanning algorithms, software, computing, networking, firmware, sensors, actuators, and physical robot behaviour.
- Strong analytical, problem-solving, leadership, and technical communication skills.
Experience with humanoid robots, mobile robots, autonomous vehicles, industrial robotics, or similar systems.
- Familiarity with ROS 2 topics, services, actions, quality-of-service policies, lifecycle management, TF, rosbag, and distributed execution.
- Familiarity with C++, Python, Linux, Git, CI/CD, containers, and modern software development workflows.
- Experience with simulation tools such as Isaac Sim, Gazebo, MuJoCo, MATLAB/Simulink, or equivalent platforms.
- Experience with SysML, model-based systems engineering, or software architecture modelling.
- Familiarity with functional safety, SOTIF, machinery safety, cybersecurity, or safety assurance for autonomous systems.
- Understanding of machine-learning performance, uncertainty, dataset coverage, and scenario-based validation.
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Location: NAMER and LatAm
Workplace: Remote
About the Team
The Cloud Infrastructure Engineering team builds and manages the foundational blocks of ClickHouse Cloud data plane end-to-end. This includes compute, networking, security, and a multi-cloud, multi-region architecture that provides a reliable and scalable managed ClickHouse experience for ClickHouse Cloud customers. Our team is looking for highly skilled and experienced cloud infrastructure software engineers to join our team, who will be responsible for designing, deploying, and maintaining our infrastructure.
What will you do?
- Architect and build a robust, scalable, and highly available distributed infrastructure.
- Build a cutting-edge cloud-native platform on top of the public cloud, and automate our cloud resource management.
- Execute high-impact infrastructure optimization initiatives across compute, storage, and networking.
- Collaborate with the ClickHouse engineering teams to develop high-performance, reliable, and cost-effective solutions for our SaaS platform.
- Optimize cost efficiency systematically through the implementation of distributed systems and industry best practices.
- Partner with business stakeholders to design and construct tooling for cost efficiency insights.
About you:
- 5+ years of relevant software development industry experience building and operating scalable, fault-tolerant, distributed systems.
- Software development experience in Go, C/C++, Java, or another OOP language.
- Experience with cloud technologies such as AWS, Azure, or GCP, including infrastructure-as-code (IaC) tools such as Terraform or CloudFormation.
- Experience developing cloud infrastructure services, preferably with Kubernetes.
- Experience developing cloud native edge or service mesh services, preferably with envoy and Istio.
- Experience leading and shipping large scope technical projects in collaboration with multiple experienced engineers.
- Understanding of network topologies, protocols, and security principles, such as VPNs, firewalls, and load balancers.
- Knowledge of cloud security best practices, including encryption, access controls, and compliance standards like SOC2 and GDPR.
- You have excellent communication skills and the ability to work well within a global team.
- You are a strong problem-solver and have solid production debugging skills.
- You are passionate about efficiency, availability, scalability and data governance.
- You thrive in a fast-paced environment, and see yourself as a partner with the business with the shared goal of moving the business forward.
- You have a high level of responsibility, ownership, and accountability
#LI-Remote
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: NAMER and LatAm
About the Team
The Cloud Infrastructure Engineering team builds and manages the foundational blocks of ClickHouse Cloud data plane end-to-end. This includes compute, networking, security, and a multi-cloud, multi-region architecture that provides a reliable and scalable managed ClickHouse experience for ClickHouse Cloud customers. Our team is looking for highly skilled and experienced cloud infrastructure software engineers to join our team, who will be responsible for designing, deploying, and maintaining our infrastructure.
What will you do?
- Architect and build a robust, scalable, and highly available distributed infrastructure.
- Build a cutting-edge cloud-native platform on top of the public cloud, and automate our cloud resource management.
- Execute high-impact infrastructure optimization initiatives across compute, storage, and networking.
- Collaborate with the ClickHouse engineering teams to develop high-performance, reliable, and cost-effective solutions for our SaaS platform.
- Optimize cost efficiency systematically through the implementation of distributed systems and industry best practices.
- Partner with business stakeholders to design and construct tooling for cost efficiency insights.
About you:
- 5+ years of relevant software development industry experience building and operating scalable, fault-tolerant, distributed systems.
- Software development experience in Go, C/C++, Java, or another OOP language.
- Experience with cloud technologies such as AWS, Azure, or GCP, including infrastructure-as-code (IaC) tools such as Terraform or CloudFormation.
- Experience developing cloud infrastructure services, preferably with Kubernetes.
- Experience developing cloud native edge or service mesh services, preferably with envoy and Istio.
- Experience leading and shipping large scope technical projects in collaboration with multiple experienced engineers.
- Understanding of network topologies, protocols, and security principles, such as VPNs, firewalls, and load balancers.
- Knowledge of cloud security best practices, including encryption, access controls, and compliance standards like SOC2 and GDPR.
- You have excellent communication skills and the ability to work well within a global team.
- You are a strong problem-solver and have solid production debugging skills.
- You are passionate about efficiency, availability, scalability and data governance.
- You thrive in a fast-paced environment, and see yourself as a partner with the business with the shared goal of moving the business forward.
- You have a high level of responsibility, ownership, and accountability
#LI-Remote
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: Remote or Mississauga
Workplace: remote
At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.
With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.
At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.
Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.
**Travel to Office expectations**
For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.
For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role.
Team Summary
This team will serve as the product owner for the machine learning platform capabilities within PointClickCare, working closely with other engineering teams across the organization to identify, build and support traditional machine learning (ML) and hybrid ML/LLMsolutions. This centralized team with deep specialization will closely integrate with key horizontal partners to ensure delivery of safe, scalable, and high-impact AI products.
Job Summary
The Principal AI Machine Learning Platform Engineer will set the technical vision and strategy for the machine learning platform that powers ML and generative AI development across PointClickCare, partnering with Product and Engineering leadership to align that direction with product and business goals. As the technical authority for the ML platform, the Principal Engineer will define the reference architectures, standards, and roadmap for the pipelines, tooling, and infrastructure used for model training, deployment, serving, and monitoring, and will provide technical leadership and mentorship to raise the engineering bar for ML systems company-wide.
Key Responsibilities
Partner with product and engineering leadership to translate business and product objectives into a multi-quarter technical strategy and roadmap for the ML platform.
Define the reference architectures and standards for scalable data and ML pipelines spanning model training, evaluation, deployment, and serving that engineering teams across the organization build upon.
Set the direction and best practices for MLOps across the company — including CI/CD for models, model registry, feature stores, and experiment tracking — and drive build-vs-buy decisions for core platform components.
Establish the practices and architecture for reliability, observability, and performance of ML systems in production, including monitoring, alerting, and automated remediation.
Establish the security architecture for the ML platform, including authentication, role-based access control, audit logging, and compliance monitoring, and ensure adoption across teams.
Define secure, cost-efficient integration and infrastructure patterns for connecting the platform with existing systems, APIs, and data sources at scale.
Provide technical leadership and mentorship across engineering teams, guiding senior engineers and influencing the org-wide technical roadmap for ML infrastructure.
Qualifications & Skills
Expert level in Python and Java with strong software engineering fundamentals.
Deep experience designing and building ML platforms and ML Ops workflows at scale, familiarity with tools such as MLFlow, Kubeflow, Ray, and model-serving frameworks or equivalents.
Extensive experience with cloud platforms (AWS, Azure, and/or GCP), containerization, and orchestration (Docker, Kubernetes).
Demonstrated track record of setting technical direction and driving org-wide technical initiatives across multiple teams.
Preferred
Bachelor’s degree or higher in Computer Science, Machine Learning, or a related field.
Sufficient familiarity with Azure Machine Learning components, Databricks processing and serverless environments, and ML Frameworks to support strategic decision making
Demonstrable history of leading and sustaining build out of critical cross-team systems
Experience implementing security at scale including role-based access control, multi-factor authentication, network security best practices, and compliance monitoring.
Experience optimizing large model training and inference (including LLM serving) for performance and cost.
#LI-AJ1
#LI-remote
PointClickCare Benefits & Perks:
Benefits starting from Day 1!
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition … and more!
It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.
When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it. If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com
PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.
At PointClickCare, base salary is one of the many components that make up our total rewards package. The CAD base salary range for this position is $179,000-$224 000 (not overtime eligible) + bonus + benefits. Compensation is assessed individually and aligned to experience, skills, and market context. The posted range reflects typical expectations for this role.
Location: Remote, USA
Workplace: remote
At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.
With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.
At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.
Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.
**Travel to Office expectations**
For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.
For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role.
Team Summary
This team will serve as the product owner for the machine learning platform capabilities within PointClickCare, working closely with other engineering teams across the organization to identify, build and support traditional machine learning (ML) and hybrid ML/LLMsolutions. This centralized team with deep specialization will closely integrate with key horizontal partners to ensure delivery of safe, scalable, and high-impact AI products.
Job Summary
The Principal AI Machine Learning Platform Engineer will set the technical vision and strategy for the machine learning platform that powers ML and generative AI development across PointClickCare, partnering with Product and Engineering leadership to align that direction with product and business goals. As the technical authority for the ML platform, the Principal Engineer will define the reference architectures, standards, and roadmap for the pipelines, tooling, and infrastructure used for model training, deployment, serving, and monitoring, and will provide technical leadership and mentorship to raise the engineering bar for ML systems company-wide.
Key Responsibilities
Partner with product and engineering leadership to translate business and product objectives into a multi-quarter technical strategy and roadmap for the ML platform.
Define the reference architectures and standards for scalable data and ML pipelines spanning model training, evaluation, deployment, and serving that engineering teams across the organization build upon.
Set the direction and best practices for MLOps across the company — including CI/CD for models, model registry, feature stores, and experiment tracking — and drive build-vs-buy decisions for core platform components.
Establish the practices and architecture for reliability, observability, and performance of ML systems in production, including monitoring, alerting, and automated remediation.
Establish the security architecture for the ML platform, including authentication, role-based access control, audit logging, and compliance monitoring, and ensure adoption across teams.
Define secure, cost-efficient integration and infrastructure patterns for connecting the platform with existing systems, APIs, and data sources at scale.
Provide technical leadership and mentorship across engineering teams, guiding senior engineers and influencing the org-wide technical roadmap for ML infrastructure.
Qualifications & Skills
Expert level in Python and Java with strong software engineering fundamentals.
Deep experience designing and building ML platforms and ML Ops workflows at scale, familiarity with tools such as MLFlow, Kubeflow, Ray, and model-serving frameworks or equivalents.
Extensive experience with cloud platforms (AWS, Azure, and/or GCP), containerization, and orchestration (Docker, Kubernetes).
Demonstrated track record of setting technical direction and driving org-wide technical initiatives across multiple teams.
Preferred
Bachelor’s degree or higher in Computer Science, Machine Learning, or a related field.
Sufficient familiarity with Azure Machine Learning components, Databricks processing and serverless environments, and ML Frameworks to support strategic decision making
Demonstrable history of leading and sustaining build out of critical cross-team systems
Experience implementing security at scale including role-based access control, multi-factor authentication, network security best practices, and compliance monitoring.
Experience optimizing large model training and inference (including LLM serving) for performance and cost.
#LI-AJ1
#LI-remote
PointClickCare Benefits & Perks:
Benefits starting from Day 1!
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition … and more!
It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.
When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it. If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com
PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.
At PointClickCare, base salary is one of the many components that make up our total rewards package. The US base salary range for this position is $158,000-$198, 000 (not overtime eligible) + bonus + benefits. Compensation is assessed individually and aligned to experience, skills, and market context. The posted range reflects typical expectations for this role.
Location: Cape Town, South Africa
We are looking for a Finance Database Engineer to join our growing team. This role sits at the intersection of finance, technology, and engineering, and will be responsible for building and maintaining scalable data solutions that support financial reporting and operational decision-making.
This is a hands-on role with significant ownership, where you will work closely with finance and operations teams to improve data visibility, accuracy, and efficiency across the organization.
Primary Responsibilities:
Design, build, and maintain data pipelines and applications using Microsoft Azure and Microsoft Fabric
Develop and optimize SQL data models to support financial reporting and analysis
Build and maintain Power BI dashboards and reporting solutions for business stakeholders
Ensure data accuracy and integrity through validation, reconciliation, and issue investigation
Own end-to-end data workflows, from ingestion through transformation and reporting
Collaborate with finance and operations teams to translate business needs into scalable data solutions
Identify opportunities to improve data processes, automation, and system performance
Work closely with IT teams to ensure security, governance, and compliance of financial data.
Optimize SQL queries and improve report performance.
Focuses on transforming raw data into reliable reporting models.
Requirements
Bachelor’s degree in computer science, Computer Engineering, Information Systems, or a related field.
3+ years of experience in data engineering, analytics engineering, or software engineering with financial order Information
DP-700 Certification (Preferred)
Technical Requirements
Experience with Microsoft Azure.
Hands-on experience with Microsoft Fabric (Lakehouse, Data Warehouse, Data Factory).
Experience with Power Query, DAX, and SQL with large, complex datasets.
Familiarity with Git and/or Azure DevOps for version control.
Knowledge of Python for data processing and automation (preferred).
Experience integrating data through APIs or external data sources.
Understanding of data warehousing concepts and dimensional modeling.
Ability to work in mixed time zones with various teams including Pacific Standard (USA)
Experience building reports and data models in Power BI
Strong understanding of ETL/ELT pipelines and data validation processes
Experience working with financial or operational data is a strong plus
Soft skills requirements:
Strong analytical and problem-solving skills.
Ability to communicate technical concepts to non-technical stakeholders.
Excellent stakeholder management and collaboration skills.
Strong organizational and time management skills.
Continuous improvement mindset with a proactive approach to automation and process optimization.
Location: Dammam, Saudi Arabia
We are looking for a motivated
Cloud Engineer
to support the design, implementation, management, and operation of secure public cloud environments. The ideal candidate will have foundational knowledge of cloud networking, cloud security, identity management, and cybersecurity, with a strong interest in developing expertise in cloud architecture and infrastructure.
Key Responsibilities
Assist in designing, implementing, and managing
public cloud environments and landing zones
.
Support cloud network architecture, including
VPC/VNet, subnets, routing, firewalls, VPNs, and network connectivity
.
Assist with secure connectivity between cloud platforms and on-premises environments.
Support the implementation and management of
cloud security controls
and best practices.
Assist with
Identity and Access Management (IAM)
, user roles, permissions, and access policies.
Monitor cloud infrastructure, network performance, security, and availability.
Troubleshoot basic cloud networking, connectivity, and security issues.
Support cloud governance, security standards, and compliance requirements.
Work closely with infrastructure, cybersecurity, DevOps, and application teams.
equirements
Bachelor’s degree in
Computer Science or Computer Engineering.
0–2 years of experience
in cloud computing, networking, infrastructure, or a related field.
Basic understanding of at least one major public cloud platform:
Microsoft Azure
Amazon Web Services (AWS)
Google Cloud Platform (GCP)
Basic knowledge of:
Cloud networking and architecture
VPC/VNet and subnet design
Routing and network security
Firewalls and VPNs
IAM and access management
DNS and load balancing
Cloud security and cybersecurity fundamentals
Hybrid cloud connectivity
Good analytical and troubleshooting skills.
Strong communication and teamwork abilities.
Eagerness to learn and build a career in cloud engineering and architecture.
Location: New York City, NY; San Francisco, CA; Seattle, WA; Washington, DC
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
The IT Operations team keeps Anthropic running — we make sure every employee can do their best work without friction. We're seeking an IT Support Engineer who combines deep technical skills with a genuine service mindset and sound judgment.
Anthropic is growing fast, and our IT operations need to keep pace. That means onboarding at scale, automating repetitive processes (including with Claude), and continuously improving the employee experience. You'll handle support challenges across our primarily macOS environment while contributing to the operational improvements that help us scale. You'll work closely with IT Engineering and Security, with opportunities to grow into more technical infrastructure work over time.
Responsibilities
End-User Support
Triage and resolve issues across hardware, software, networking, and accounts — primarily through our ticketing system, with additional support via Slack and in-person
Diagnose and resolve issues across macOS, ChromeOS, iOS, Android, and our core SaaS platforms (Google Workspace, Slack, GitHub, Atlassian)
Troubleshoot device issues, including enrollment, configuration profiles, and policy enforcement
Support access management and employee lifecycle workflows (onboarding, offboarding, reorgs)
Handle escalations requiring cross-team coordination
Participate in an on-call rotation for urgent issues outside business hours
Provide hands-on support for user technology, AV systems, conference rooms, and printers
Communication & Documentation
Communicate clearly with users of all technical levels
Write and maintain internal documentation including runbooks, how-to guides, and knowledge base articles
Identify patterns in support requests, surface recurring issues to the team, and identify opportunities for automation or systemic solves
Operational Improvement
Help streamline onboarding and other high-volume operations as the company scales
Contribute to automation efforts
Maintain and improve device management, identity, and access systems
Assist with scripting (Bash, Python) to automate repetitive tasks
You may be a good fit if you
Have 7+ years of hands-on IT support experience, ideally in a fast-paced or high-growth environment
Are an excellent communicator who genuinely enjoys helping people solve problems
Have strong troubleshooting skills and are methodical, curious, and persistent
Demonstrated experience supporting macOS endpoints and comfortable supporting ChromeOS, iOS, and Android
Have significant experience with Google Workspace administration
Have experience with Slack administration — workspace management, permissions, and troubleshooting
Have substantial experience supporting and administering additional SaaS tools
Understand identity and access fundamentals — SSO, MFA, directory services
Are familiar with MDM fundamentals and endpoint management concepts
Have experience with basic scripting (Bash or Python) for automation
Take ownership of problems and follow through until they're resolved
Think beyond the immediate fix — you ask "why did this happen?" and "how do we prevent it?"
Are organized enough to manage competing priorities without things falling through the cracks
Propose solutions when you see a process that doesn't scale
Are looking to develop deeper technical skills and take on more complex systems administration challenges over time
Strong candidates may also
Be familiar with zero-trust security concepts and endpoint security tooling
Have experience with networking basics — DNS, DHCP, VPNs, networking fundamentals
Have contributed to IT projects beyond day-to-day support (migrations, tool rollouts, process redesigns)
Have experience using AI tools to improve personal or team productivity
Location
This role is based in our San Francisco, Seattle, New York or Washington DC office and there is a 4 day/week in office expectation.
What Makes This Role Unique
You'll be joining a high-impact IT team supporting some of the world's leading AI researchers and engineers. The pace is fast and you'll have real ownership over your work. This isn't a role where you follow rigid scripts — you'll be trusted to use your judgment, improve our processes, and grow with the team. Because we're scaling rapidly, you'll have meaningful opportunities to shape how IT operations work at Anthropic.
Deadline to apply: None. Applications will be received on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$180,000
—
$230,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: London, UK
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As an AV Engineer focused on builds and design, you'll design and implement the systems that enable world-class collaboration and communication across offices. This role is critical as we rapidly expand our physical footprint, with plans for multiple new offices and expansions over the coming years.
You'll be responsible for architecting AV solutions from concept through commissioning, ensuring our conference rooms, event spaces, and collaboration areas provide frictionless experiences that enable our teams to advance AI safety research. You'll help establish standards and systems that scale efficiently while pushing the boundaries of what's possible in workplace collaboration technology.
This is an opportunity to shape how a cutting-edge AI research organization communicates and collaborates, building infrastructure that supports everything from small team meetings to company-wide all-hands broadcasts reaching thousands of remote participants.
Responsibilities
Lead AV design, procurement, and programming for new office builds, expansions, and retrofits across our global portfolio
Create and maintain AV system designs including schematic drawings, line diagrams, and elevation plans
Program and commission AV systems to meet specific use cases and user requirements
Execute successful "first day of business" deployments for new offices, ensuring all systems are operational for day-one occupancy
Attend build coordination meetings with architects, contractors, and workplace teams to drive AV requirements and integration
Innovate and test emerging AV technologies to optimize productivity and enable premium experiences for existing and upcoming spaces
Develop automated solutions to improve system reliability and reduce operational overhead
Partner with Security and IT teams to ensure AV systems meet enterprise security requirements
Create comprehensive documentation for all systems including programming logic, troubleshooting guides, and operational procedures
Oversee operations globally to ensure seamless AV operations and service delivery standards are consistently met
Manage relationships with AV integrators and vendors to ensure project success
Assist with AV operations support including event production and system maintenance as needed
You may be a good fit if you
Have 8+ years of experience designing and implementing AV systems in an enterprise environment
Are proficient in control system programming utilizing the Q-Sys ecosystem or similar
Have hands-on experience with video conferencing platforms, particularly Google Meet
Can read and create AV technical drawings including schematics, line diagrams, and rack elevations
Understand digital signal processing (DSP) concepts for audio, including acoustic echo cancellation, noise reduction, EQ/dynamics, and automixing
Are familiar with enterprise video distribution, streaming technologies, and broadcast standards
Can manage multiple projects simultaneously while meeting aggressive timelines
Collaborate effectively with non-technical stakeholders to translate requirements into technical solutions
Have excellent troubleshooting skills and are comfortable diving into complex integrated systems
Care about creating exceptional user experiences through technology
Are excited about the opportunity to build scalable AV infrastructure from the ground up
Strong candidates may also have
Experience with Logitech video conferencing ecosystem and management platforms
Certifications such as Q-Sys Level 2, CTS, or CTS-D
Familiarity with control scripts using Lua within Q-Sys
Background in broadcast production or live event engineering
Experience with Netgear network switches running AV over IP systems (QLAN, Dante, SMPTE 2110)
Familiarity with digital signage platforms (Appspace or similar)
Understanding of acoustical design principles for conference spaces
Track record of successful large-scale office technology deployments
Previous experience performing AV installations
Background working in high-growth technology companies
Experience with Google Workspace administration
Role Specific Location Policy:
This role will be based in our London office
This role is expected to be in office 75% of the time
This position will require up to 8 weeks of domestic and international travel to help with new office build outs
Deadline to apply: None. Applications will be received on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
£210,000
—
£250,000 GBP
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As an AV Engineer focused on builds and design, you'll design and implement the systems that enable world-class collaboration and communication across offices. This role is critical as we rapidly expand our physical footprint, with plans for multiple new offices and expansions over the coming years.
You'll be responsible for architecting AV solutions from concept through commissioning, ensuring our conference rooms, event spaces, and collaboration areas provide frictionless experiences that enable our teams to advance AI safety research. You'll help establish standards and systems that scale efficiently while pushing the boundaries of what's possible in workplace collaboration technology.
This is an opportunity to shape how a cutting-edge AI research organization communicates and collaborates, building infrastructure that supports everything from small team meetings to company-wide all-hands broadcasts reaching thousands of remote participants.
Responsibilities
Lead AV design, procurement, and programming for new office builds, expansions, and retrofits across our global portfolio
Create and maintain AV system designs including schematic drawings, line diagrams, and elevation plans
Program and commission AV systems to meet specific use cases and user requirements
Execute successful "first day of business" deployments for new offices, ensuring all systems are operational for day-one occupancy
Attend build coordination meetings with architects, contractors, and workplace teams to drive AV requirements and integration
Innovate and test emerging AV technologies to optimize productivity and enable premium experiences for existing and upcoming spaces
Develop automated solutions to improve system reliability and reduce operational overhead
Partner with Security and IT teams to ensure AV systems meet enterprise security requirements
Create comprehensive documentation for all systems including programming logic, troubleshooting guides, and operational procedures
Oversee operations globally to ensure seamless AV operations and service delivery standards are consistently met
Manage relationships with AV integrators and vendors to ensure project success
Assist with AV operations support including event production and system maintenance as needed
You may be a good fit if you
Have 8+ years of experience designing and implementing AV systems in an enterprise environment
Are proficient in control system programming utilizing the Q-Sys ecosystem or similar
Have hands-on experience with video conferencing platforms, particularly Google Meet
Can read and create AV technical drawings including schematics, line diagrams, and rack elevations
Understand digital signal processing (DSP) concepts for audio, including acoustic echo cancellation, noise reduction, EQ/dynamics, and automixing
Are familiar with enterprise video distribution, streaming technologies, and broadcast standards
Can manage multiple projects simultaneously while meeting aggressive timelines
Collaborate effectively with non-technical stakeholders to translate requirements into technical solutions
Have excellent troubleshooting skills and are comfortable diving into complex integrated systems
Care about creating exceptional user experiences through technology
Are excited about the opportunity to build scalable AV infrastructure from the ground up
Strong candidates may also have
Experience with Logitech video conferencing ecosystem and management platforms
Certifications such as Q-Sys Level 2, CTS, or CTS-D
Familiarity with control scripts using Lua within Q-Sys
Background in broadcast production or live event engineering
Experience with Netgear network switches running AV over IP systems (QLAN, Dante, SMPTE 2110)
Familiarity with digital signage platforms (Appspace or similar)
Understanding of acoustical design principles for conference spaces
Track record of successful large-scale office technology deployments
Previous experience performing AV installations
Background working in high-growth technology companies
Experience with Google Workspace administration
Role Specific Location Policy:
This role will be based in our San Francisco office
This role is expected to be in office 75% of the time
This position will require up to 8 weeks of domestic and international travel to help with new office build outs
Deadline to apply: None. Applications will be received on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$285,000
—
$325,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Paris; Amsterdam; Warsaw; Munich; London; Berlin
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
THE ROLE
As a Software Engineer, Network Automation - WAN & Edge, you will design, automate, and operate resilient connectivity between data centers, cloud environments, external networks, and the internet. Your work will span routing, firewalls, traffic engineering, and production troubleshooting.
This is a hands-on role for an experienced network engineer who can build, test, debug, and review production-grade automation. Networking depth and strong software-engineering judgment matter more than familiarity with any particular language, platform, or tool.
WHAT YOU WILL DO
- Design and evolve resilient inter-site, cloud, and internet connectivity for large-scale AI infrastructure.
- Own external BGP policy and traffic engineering at the edge, including route filtering, failover, and capacity planning.
- Build API-driven automation for edge routing, firewalls, VPNs, carrier connectivity, and network segmentation.
- Coordinate with carriers, cloud connectivity providers, colocation partners, and vendors on design, provisioning, incident escalation, and service improvement.
- Design safe change workflows with automated validation and resilience testing, staged rollouts, observability, rollback, and recovery.
- Participate in on-call rotation, troubleshoot active WAN and edge incidents, restore service, and turn root causes into lasting improvements.
- Review designs and code, explain networking trade-offs, and help raise network engineering quality across the organization.
WHAT WE’RE LOOKING FOR
- Deep, hands-on WAN and edge networking experience across internet connectivity, data-center interconnect, private WAN, or cloud networking.
- A track record of taking external BGP designs from whiteboard to production and debugging them during production incidents.
- Experience integrating and troubleshooting stateful firewalls, NAT, asymmetric routing, and redundant edge designs on at least one major routing or firewall platform.
- Experience building or operating production network automation using network-management APIs and data models. You understand desired state and idempotency; relevant technologies might include REST, NETCONF, gNMI/OpenConfig, Ansible, or Terraform.
- Strong software-engineering fundamentals in a general-purpose language. You can design, test, debug, and review production systems and are willing to become productive in Go.
- Operational troubleshooting experience using routing and flow state, packet captures, link health, telemetry, and logs to diagnose production incidents.
- Clear, pragmatic communication and effective stakeholder management. You can translate technical needs into connectivity designs and provider requirements, define acceptance criteria and service-level expectations, and provide technical leadership.
NICE TO HAVE
- Experience with FortiGate, FortiManager, or comparable edge and firewall platforms.
- Deeper specialization in external connectivity, such as public-cloud or hybrid-cloud interconnect, or internet transit and peering.
- Exposure to edge security and scale techniques such as RPKI and route-origin validation, DDoS mitigation, or global traffic engineering.
- Familiarity with streaming telemetry, network source-of-truth systems, and configuration-compliance tooling.
- Experience reading, reviewing, or contributing to Go code.
- Familiarity with Kubernetes controllers, operators, or other declarative, reconciliation-based systems.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: London, UK; United States
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
THE ROLE
The Docker Sandboxes team is building the runtime that lets AI coding agents run safely on a developer's machine: disposable, isolated microVM sandboxes that each get their own Docker daemon, filesystem, and network.
This is the core of Docker's sbx product: developers can give an agent the autonomy it needs to get real work done without it ever touching the host, and tear the whole environment down when it's finished.
The successful candidate is a technical, product-minded engineer with deep experience building secure, isolated runtime environments (sandboxes, containers, or VMs) and a track record of shipping and owning that kind of infrastructure in production at scale. They think naturally about isolation and security boundaries, understand the tradeoffs involved in running untrusted or semi-trusted workloads safely, and can reason confidently about a system that spans multiple surface areas.
They can drive clarity and consensus on hard, ambiguous problems that cross team and component boundaries, raise the bar for engineering quality wherever they work, thrive in a remote-first environment, communicate clearly across time zones, work with our users, while bringing curiosity and craftsmanship to hard problems.
Please note: this role is currently prioritizing candidates currently located in the Eastern time zone (US or Canada), or in the EU.
_______________________________________________________________________
RESPONSIBILITIES
- Design, develop, and lead improvements to the sandboxes product across agent integration, tool permissions, and developer-facing workflows.
- Investigate and resolve correctness, performance, and stability issues in the agent integration layer across macOS, Windows, and Linux.
- Drive the reliability and performance of sandbox creation, session management, and teardown for AI agent workloads.
- Collaborate with peers, Product, and adjacent teams to evolve the architecture as requirements grow.
- Mentor engineers on the team and set the bar in design reviews and code reviews.
- Engage with the open source and agentic development community around sandboxing, MCP, and related ecosystems.
- Participate in on-call rotations and respond to critical stability issues affecting users.
- Document your work clearly and share knowledge with the rest of the team.
_______________________________________________________________________
QUALIFICATIONS
- 8+ years of software engineering experience, with demonstrated technical leadership on production systems at scale.
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- Experience building developer tools, desktop applications, or runtime infrastructure used directly by developers.
- Familiarity with the agentic software development ecosystem: how coding agents work and how tools like Claude Code, Codex, or similar agents interact with their environment.
- Ability to reason about isolation and security boundaries: what a sandbox should and shouldn't expose, and how to make safe defaults obvious to users.
- Experience driving architecture and technical strategy across multiple engineers or teams.
- Strong written and verbal communication skills.
- Comfortable working with a high degree of autonomy in a remote-first environment.
_______________________________________________________________________
WHAT TO EXPECT
FIRST 30 DAYS
- Build an understanding of our codebase.
- Meet the people on your team and those adjacent to it.
- Build an understanding of the products we are shipping and our near-term technical priorities.
- Deliver small fixes or improvements.
FIRST 90 DAYS
- Lead the design and development of a significant improvement or feature of the local sandboxes stack.
- Engage with our open source project and the relevant upstream communities.
- Shape the team's technical direction, and drive architecture discussions.
ONE YEAR OUTLOOK (FIRST YEAR)
- Deliver measurable improvements to the correctness and performance of sandboxes.
- Become a recognized technical owner of key parts of the codebase and a go-to technical leader for the local runtime.
- Help us define the longer-term technical strategy for the filesystem layer in a way that fits with Product and Business goals, and rally the team behind it.
Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs.
_______________________________________________________________________
COMPENSATION & EQUITY
All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location.
United States: $160,900 – $260,700 base
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Location: Ho Chi Minh; Hanoi
Workplace: hybrid
Ajax Systems is expending and is looking for a Hardware Engineer to strengthen our team in Vietnam.
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 of any scale. To date, the Ajax product portfolio includes 280 devices for intrusion protection, video surveillance, fire and life safety, and comfort and automation.
As a Hardware Engineer, you will not only design circuits but also serve as a technical cornerstone for our R&D in Taiwan.
We are looking for an expert who brings strategic value: someone who can oversee complex system architectures, consult on cross-departmental optimizations, and mentor the team on high-performance design methodologies. You will be the bridge between innovative concepts and mass-scale manufacturing.
Key Responsibilities
Architecture & Design: Develop sophisticated schematic solutions and PCB layouts for new Ajax devices, ensuring high reliability and scalability.
Strategic Optimization: Proactively identify opportunities for cost reduction and performance enhancement through component unification and innovative architectural shifts.
Project Oversight: Lead complex hardware projects from initial concept through to mass production (10,000+ units/month), ensuring all technical risks are mitigated.
Cross-Functional Consultation: Act as a subject matter expert for the firmware and supply chain teams to optimize the hardware-software interface and manufacturing yield.
Prototype Lifecycle: Lead the “bring-up” process, debugging complex issues and defining rigorous testing protocols for design validation.
Requirements
Advanced Circuit Design: Expert-level calculation of circuit elements and high-fidelity simulations of device behavior.
EDA Mastery: Professional proficiency in Altium Designer (experience with managed libraries and 3D modeling is preferred).
Design for Excellence (DfX): Proven track record of designing for LVD/EMC compliance and mass manufacturing (DFM/DFT).
Power Management: Deep expertise in designing both battery-powered and mains-powered (85–265 VAC) devices.
Full Lifecycle Ownership: Experience preparing comprehensive production documentation (BOM management, Gerber files, assembly drawings) using Git for version control.
Communication: Fluent English is required for technical documentation and international collaboration.
Preferred Qualifications
Supply Chain Leadership: Direct experience working with vendors and manufacturers for high-volume production.
High-Speed Design: Advanced understanding of Signal Integrity (SI) and Power Integrity (PI). Experience with S-parameters, PDN impedance modeling, and TDR measurements.
System-Level Thinking: Ability to write or review embedded software (C/C++, STM32) to facilitate deep-level debugging and hardware-software co-design.
Regulatory Mentorship: Experience guiding products through global certifications (UL, CE, RED), beyond basic compliance.
Location: Paris
Workplace: Hybrid
ABOUT VOODOO
Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz.
TEAM
The Engineering & Data team builds innovative tech products and platforms to support the impressive growth of Voodoo's gaming and consumer apps, keeping us at the forefront of the mobile industry. The team plays a key role in Voodoo's long-term strategy: it accelerates product diversification and provides a state-of-the-art growth engine to distribute and scale our games. We create solutions that drive growth with a pragmatic approach, ranging from simple search to complex machine learning systems.
Within Engineering & Data, the Central Data & Analytics team makes data a reliable guide for the whole company. Data engineers, analytics engineers, data analysts and a product data PM work side by side to build and grow the foundations behind every critical business and product decision at Voodoo.
This position is hybrid and requires 3 days/week in our Paris office.
ROLE
We’re looking for a Senior Data Engineer to join our Engineering & Data team. In this role, you’ll be responsible for a wide array of topics such as:
- Build and operate robust data pipelines that keep pace with ever-evolving business needs, ensuring the architecture supports them cleanly.
- Contribute to the codebase, ship and maintain your changes in production, and champion strong coding and data engineering practices.
- Use AI coding tools (Claude Code, Codex, and whatever comes next) as a core part of your daily workflow — to move faster on pipelines, migrations, tests and documentation — while staying fully accountable for what you merge.
- Look for opportunities to put AI inside our data platform, not just around it: LLM-assisted data quality checks, semantic layers, natural-language access to datasets, agent-driven internal tooling.
- Take ownership of projects from initial discussions to release: feature estimation and scoping, architecture design, benchmarking of new technologies, product feedback.
- Work in a very agile environment with a fast decision process.
- Collaborate directly with back-end engineers, data scientists, mobile game and consumer app teams, product and marketing.
PROFILE
- Extensive experience as a Data Engineer or in a similar role.
- A proven track record of building and optimizing data pipelines for massive volumes of data (at scale).
- Strong experience with scalability, reliability, and security topics.
- Hands-on experience coding with AI assistants and agentic tools — you know how to give them the right context, break work down for them, and review their output critically rather than trusting it blindly.
- Genuine curiosity about modern tooling and practices: you follow how the data and AI ecosystem is evolving, try new tools on real problems, and form your own opinion instead of following hype. You can explain why you adopted something — or why you dropped it.
- Strong analytical skills and comfort working with unstructured datasets.
- Experience with Amazon Web Services.
- Result-oriented and focused on the value your work creates.
- Curious about business needs and keen to build innovative, pragmatic solutions that grow the business through data.
- Excellent communication skills (you can speak and write English).
- Experience with LLM-based systems (RAG, evals, prompt and context engineering) is a strong plus.
- Experience in gaming, advertising, or another fast-growing company is a plus.
- Familiarity with Voodoo's ecosystem: gaming, apps, advertising, analytics.
OUR STACK
- Amazon Web Services; Python; Spark; Scala; Terraform; SQL (Athena, StarRocks); DBT;; Airflow; Kubernetes; AI-assisted development tooling (Claude Code, MCP-based internal tools)
BENEFITS
- Competitive salary based on experience
- Swile Lunch voucher
- Gymlib (100% covered by Voodoo)
- Premium healthcare coverage with SideCare, 100% covered for you and your family
- Wellness activities in our Paris office
- Remote Fridays
Location: Oakland, California, United States
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
T
ogether, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran and dbt Labs are building data pipelines to power the modern data stack for thousands of companies. We're looking for an engineering manager to lead our Metadata team, which owns the metadata layer of the dbt platform: the discovery API, catalog, lineage, and run history services that let customers understand, trust, and act on what their data is doing.
You'll own technical excellence and delivery of a single team, from evolving high-throughput APIs and data models, to hardening reliability and latency for enterprise and single-tenant customers, to shipping new discovery and catalog capabilities in close partnership with product. You'll set direction, review designs and code, remove roadblocks, and grow the engineers on your team through coaching, feedback, and clear career development.
What You'll Do
Lead and grow a team of software engineers, owning hiring, onboarding, coaching, career development plans, and regular 1:1s and check-ins
Own project delivery for your team against the quarterly plan, and be accountable for the reliability and performance of the services you own (e.g. uptime and latency targets)
Review technical designs and code, and provide feedback grounded in a deep understanding of the Metadata product area and architecture
Drive the team to address technical quality — incidents, bugs, tech debt, and post-mortems — within SLA and metric targets
Partner with product and business stakeholders on planning, and maintain a realistic, prioritized feature and project backlog with a high completion rate
Contextualize and communicate the engineering vision and strategy to your team, and share the team's work and business impact with adjacent teams
Ensure engineering processes (e.g. FDLC) are implemented and consistently followed
Delegate effectively and build autonomy and a positive, high-trust culture within the team
Address performance issues and conflict promptly and fairly
Ensure your team uses AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans
Skills We're Looking For
Experience managing and growing a software engineering team (ideally a customer-facing product development team); including hiring, coaching, and running a full performance and career-development cycle
Strong technical foundation with the ability to review designs and code and make sound architectural trade-offs in a distributed, cloud-based systems environment
Track record of delivering complex projects on schedule while holding the team to high standards of quality, reliability, and performance
Experience owning production services and driving operational health — incident response, on-call practices, tech-debt reduction, and meeting SLAs
Ability to plan and prioritize with product partners, maintain a realistic backlog, and drive high sprint and quarterly completion rates
Communicates clearly and effectively across the team and with adjacent teams and stakeholders; keeps people well informed
Fluent in using AI code assistants, coding agents, and conversational AI (e.g. Claude, ChatGPT) to support the software development lifecycle, and able to establish those practices across a team
Bonus Skills
Experience building or operating metadata, catalog, lineage, or discovery/search systems
Experience with GraphQL APIs and high-throughput, multi-tenant data services
Familiarity with the analytics engineering workflow and the dbt ecosystem
Experience supporting enterprise or single-tenant customers with strict reliability and latency requirements
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Oakland Pay Range
$186,701
—
$233,376 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Bengaluru, Karnataka, India, APAC
ОфисseniorLondon
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Cape Town, South Africa; Ability to work in mixed time zones with various teams including Pacific Standard (USA)
New York City, NY; San Francisco, CA; Seattle, WA; Washington, DC
London, UK
San Francisco, CA
Paris; Amsterdam; Warsaw; Munich; London; Berlin; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
УдалённоseniorLondon, UK; United States; They can drive clarity and consensus on hard, ambiguous problems that cross team and component boundaries, raise the bar for engineering quality wherever they work, thrive in a remote-first environment, communicate clearly across time zones, work with our users, while bringing curiosity and craftsmanship to hard problems; Please note: this role is currently prioritizing candidates currently located in the Eastern time zone (US or Canada), or in the EU
