Location: Mexico; Argentina; Colombia; Costa Rica; Brazil
We are looking for a
Senior Electrical Engineer
to lead the design of electrical systems for modular generator power platforms used in data centers, industrial infrastructure, and utility backup power applications.
In this role, you will design power distribution architecture, generator control systems, and paralleling switchgear that enable reliable standby and prime power generation. You will collaborate with mechanical engineering, manufacturing, and integration teams to deliver production-ready generator modules.
This position is ideal for engineers experienced in
power systems, generator integration, and industrial electrical design
.
Requirements
Design electrical systems for modular generator power platforms
Develop
single line diagrams, wiring schematics, and electrical layouts
Integrate generators with
switchgear, transfer switches, protection systems, and distribution equipment
Design and support
generator synchronization and load sharing systems
Develop
monitoring and control systems
for generator operation
Define
grounding strategies and protection coordination
for generator power systems
Coordinate electrical design with
mechanical packaging and modular enclosure systems
Support
commissioning, testing, and system validation
of generator power systems
Produce
production-ready electrical documentation
supporting manufacturing and deployment
Required Qualifications
Bachelor’s degree in
Electrical Engineering
8+ years of experience
in electrical power systems or generator electrical design
Strong experience with
electrical distribution systems and protection devices
Experience developing
electrical schematics, wiring diagrams, and control systems
Experience working with
industrial power equipment or generator systems
Preferred Qualifications
Experience with
standby power systems or data center backup power
Experience integrating
generator controls and paralleling switchgear
Experience with
microgrid or hybrid power systems
Experience supporting
commissioning and testing of generator power systems
Benefits
Work for the most exciting companies in the North American Market.
Flexible schedules.
Work from anywhere.
Highly competitive compensation.
УдалённоseniorMexico; Argentina; Colombia; Costa Rica; Brazil
Location: Béthune, Pas-de-Calais, France
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The Role
We are seeking a highly organized and experienced
Warehouse and Logistics Specialist
to oversee and optimize logistics, warehouse management and asset-related processes.
This role will involve implementing and refining asset management processes, review logistics and warehousing operations, setting up equipment certification, onboarding new partners and locations, and managing insurance and old asset sales.
This role is on-site in our Lille location.
Your responsibilities will include:
Oversee and optimize all logistics and warehouse management processes, ensuring efficiency and compliance.
Implement asset management processes to track the full lifecycle of assets.
Review and refine logistics/warehousing processes to identify areas for improvement.
Set up and manage equipment certification processes to meet operational and regulatory requirements.
Onboard new partners and locations, ensuring smooth integration into the logistics and asset management systems.
Manage insurance for assets, including claims, renewals and risk mitigation strategies.
Facilitate the sale and disposal of old assets in compliance with company policies and regulations.
Collaborate with cross-functional teams to ensure seamless asset management and logistics operations.
Monitor and report on key logistics and asset management metrics, providing insights for continuous improvement.
We expect you to have:
3-5 years of experience in logistics or logistics project management.
Familiarity with logistics management systems, ERP software and asset-tracking tools.
Strong project management skills with the ability to manage multiple tasks and priorities.
Knowledge of logistics, warehouse operations and asset lifecycle management best practices.
Strong attention to detail and organizational skills.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Bet Shemesh, Israel; Israel
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The Role
We are seeking a highly organized and experienced
Warehouse and Logistics Specialist
to oversee and optimize logistics, warehouse management and asset-related processes.
This role will involve implementing and refining asset management processes, reviewing logistics and warehousing operations, setting up equipment certification, onboarding new partners and locations, and managing insurance and old asset sales.
You’re welcome to work in our office in Israel
Your responsibilities will include:
Oversee and optimize all logistics and warehouse management processes, ensuring efficiency and compliance.
Implement asset management processes to track the full lifecycle of assets.
Review and refine logistics/warehousing processes to identify areas for improvement.
Set up and manage equipment certification processes to meet operational and regulatory requirements.
Onboard new partners and locations, ensuring smooth integration into the logistics and asset management systems.
Manage insurance for assets, including claims, renewals and risk mitigation strategies.
Facilitate the sale and disposal of old assets in compliance with company policies and regulations.
Collaborate with cross-functional teams to ensure seamless asset management and logistics operations.
Monitor and report on key logistics and asset management metrics, providing insights for continuous improvement.
We expect you to have:
3-5 years of experience in logistics or logistics project management.
Familiarity with logistics management systems, ERP software and asset-tracking tools.
Strong project management skills with the ability to manage multiple tasks and priorities.
Knowledge of logistics, warehouse operations and asset lifecycle management best practices.
Strong attention to detail and organizational skills.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Hong Kong
QRT is a global quantitative and systematic investment manager, operating across all liquid asset classes. We are a data- and technology-driven organization applying scientific methods to investing. Our collaborative culture and focus on innovation enable us to solve complex challenges and deliver high-quality returns for our investors.
The AWS Cloud Engineering Team provides a scalable, performant and best practice platform for QRT’s application and core teams to utilize in deploying cloud native services. This team is critical in ensuring that applications are built on a strong AWS foundation from the perspective of governance, security and connectivity.
Your future role within QRT
We are seeking a Network Operations Engineer to support the ongoing operation, scalability and continuous improvement of our global AWS network.
This role focuses on implementing change safely and consistently at scale, improving automation, and providing operational support to internal stakeholders. You will work closely with senior engineers, application teams, security and IT to ensure reliable, well-governed and observable network services in a production-sensitive environment.
The role is expected to involve the following activities:
Implement changes across our global AWS network using Infrastructure-as-Code
Maintain and enhance Terraform modules to ensure scalable, repeatable and consistent network deployments
Develop and maintain automation tooling using Python and Bash
Execute controlled changes via CI/CD pipelines with appropriate validation and peer review
Assess and manage the risk associated with network changes, ensuring appropriate testing, impact analysis and rollback strategies are in place
Support and resolve network-related tickets raised by internal stakeholders in a timely and professional manner
Troubleshoot connectivity and configuration issues within AWS environments using both native and third-party tooling
Contribute to operational documentation, runbooks and continuous process improvement
This role offers strong growth opportunities into deeper cloud networking, platform engineering and automation.
Your present skillset
2–4 years of experience in a cloud, infrastructure or network operations engineering role
Good understanding of networking fundamentals including IPv4, DNS, TCP/UDP and routing concepts
Practical experience with AWS networking services such as VPC, Transit Gateway and Route53
Hands-on experience using Infrastructure-as-Code, ideally Terraform
Experience developing automation using Python and/or Bash
Ability to troubleshoot issues methodically and independently within production environments
Strong awareness of production risk and high-availability considerations
Experience handling tickets and communicating effectively with internal customers
Comfortable working in a fast-paced, dynamic environment
Desirable experience
Experience operating AWS networking at scale across multiple environments or region
Familiarity with CI/CD pipelines and automated deployment workflows
Exposure to IP address management tooling such as AWS VPC IPAM or Infoblox
Load balancing technologies (ALB, NLB)
Logging and observability tooling (CloudWatch, Grafana)
Exposure to newer AWS networking services such as VPC Lattice
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we offer initiatives and programs to enable employees to achieve a healthy work-life balance.
Location: Tallinn, Estonia
Are you looking for the next professional opportunity, that will challenge you and advance your career?
Join our team now!
Tickmill is looking to hire an
AI Platform Administrator
to join our rapidly expanding team.
About the Role
We are looking for a mid-to-senior AI Platform Administrator to own the day-to-day administration of our enterprise AI tools and to turn AI prototypes into secure, maintainable, production-ready solutions.
You will administer our Enterprise AI tools across the organization, and you will take AI automation prototypes (agents, LLM workflows, integrations) and harden, package and document them so they can run reliably on our cloud platforms. Once a solution is live, you maintain, monitor and improve it.
This role suits an engineer who enjoys making things work properly in production, and who cares about reliability, security, access control and clean documentation.
About Tickmill.
Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures & Options).
Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide.
Our culture is built on trust, transparency, and high standards. We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields.
Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can.
We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth.
What does the role look like?
Administer our enterprise AI platforms: user and licence management, access policies, security and data-handling settings, usage and cost monitoring, and first-line support for users.
Manage LLM provider accounts, API keys, model versions and quotas, and keep prompt and configuration changes versioned and auditable.
Review AI prototypes and judge whether they are ready for production.
Refactor prototype code into maintainable, tested, documented services, mainly in Python.
Make each solution enterprise-ready: authentication and access control, secrets management, error handling, logging and monitoring, rate limiting and cost controls.
Containerize solutions (Docker) and prepare for deployment on our cloud platform.
Integrate AI solutions securely with internal systems and third-party tools such as CRM, Jira, data warehouses and internal APIs.
Monitor solutions in production (performance, accuracy, cost, failures), troubleshoot incidents and roll out fixes and model updates.
Set up and maintain evaluation and regression testing so that prompt or model changes don’t quietly break behaviour.
Ensure solutions meet our data privacy, security and regulatory requirements, working with Compliance, InfoSec and Data teams.
Produce and maintain technical documentation, runbooks, user guides and internal AI usage guidelines.
What do you need to succeed in this role?
Experience in software engineering, platform engineering, DevOps or IT systems engineering, with production systems you have maintained yourself.
Hands-on experience administering enterprise SaaS or AI platforms (e.g. Claude, Microsoft 365 Copilot, GitHub Copilot or Azure OpenAI), including user, license and policy management.
Strong Python skills, plus experience with REST APIs, webhooks and system integrations.
Hands-on experience deploying and operating LLM-based applications, such as RAG pipelines, agents, or tool and function calling.
Working knowledge of Docker, CI/CD and Kubernetes concepts. You don’t need to run the cluster, but you must deliver workloads that run well on one.
Experience with at least one major cloud provider (AWS, Azure or GCP).
A strong grasp of production practices: logging, monitoring, testing, versioning, secrets management and security.
Ability to work with both technical and non-technical colleagues, and to push back constructively when something isn’t ready for production.
A structured, documentation-minded approach and a high level of ownership.
Will be considered a plus:
Experience with AWS Bedrock and Amazon Bedrock AgentCore.
Experience with Microsoft 365 / Entra ID administration.
Experience in FinTech, brokerage, banking or another regulated industry.
Experience with agent frameworks (LangChain/LangGraph, CrewAI, AutoGen or similar) and vector databases.
Familiarity with LLM observability and evaluation tools (e.g. Langfuse, LangSmith, Arize).
Experience with MCP servers, Claude Code or similar developer AI tooling.
Knowledge of workflow automation tools (n8n, Make, Power Automate) and business systems such as Jira and HubSpot.
Understanding of data governance, GDPR and AI risk management.
By joining us, you can expect:
A Unique Opportunity for a career in a global, fast-growing company.
Attractive
remuneration package
based on qualifications and experience.
Opportunities to learn and grow through our “
Employee Training & Development program”.
Stebby Sports Compensation or Confido Health Compensation.
Multiple
events
to bond with the team and the group.
Birthday and Loyalty
benefits
.
Make your next Career step and apply NOW!
*Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.
Location: Limassol, Cyprus
Are you looking for the next professional
opportunity,
that will challenge you and advance your career?
Join our team now!
Tickmill
is looking to hire an
AI Platform Administrator
to join our rapidly expanding team.
About the Role
We are looking for a mid-to-senior AI Platform Administrator to own the day-to-day administration of our enterprise AI tools and to turn AI prototypes into secure, maintainable, production-ready solutions.
You will administer our Enterprise AI tools across the organization, and you will take AI automation prototypes (agents, LLM workflows, integrations) and harden, package and document them so they can run reliably on our cloud platforms. Once a solution is live, you maintain, monitor and improve it.
This role suits an engineer who enjoys making things work properly in production, and who cares about reliability, security, access control and clean documentation.
About
Tic
kmill
.
Tickmill
is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures &
Options).
Founded in 2014, the
Tickmill
Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia,
Seychelles
and several other locations worldwide.
Our culture is built on trust, transparency, and
high standards
. We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields.
Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can.
We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth.
What does the role look like?
Administer our enterprise AI platforms: user and licence management, access policies, security and data-handling settings, usage and cost monitoring, and first-line support for users.
Manage LLM provider accounts, API keys, model versions and quotas, and keep prompt and configuration changes versioned and auditable.
Review AI prototypes and judge whether they are ready for production.
Refactor prototype code into maintainable, tested, documented services, mainly in Python.
Make each solution enterprise-ready: authentication and access control, secrets management, error handling, logging and monitoring, rate limiting and cost controls.
Containerize solutions (Docker) and prepare for deployment on our cloud platform.
Integrate AI solutions securely with internal systems and third-party tools such as CRM, Jira, data warehouses and internal APIs.
Monitor solutions in production (performance, accuracy, cost, failures), troubleshoot incidents and roll out fixes and model updates.
Set up and maintain evaluation and regression testing so that prompt or model changes don’t quietly break behaviour.
Ensure solutions meet our data privacy, security and regulatory requirements, working with Compliance, InfoSec and Data teams.
Produce and maintain technical documentation, runbooks, user guides and internal AI usage guidelines.
What do you need to succeed in this role?
Experience in software engineering, platform engineering, DevOps or IT systems engineering, with production systems you have maintained yourself.
Hands-on experience administering enterprise SaaS or AI platforms (e.g. Claude, Microsoft 365 Copilot, GitHub Copilot or Azure OpenAI), including user, license and policy management.
Strong Python skills, plus experience with REST APIs, webhooks and system integrations.
Hands-on experience deploying and operating LLM-based applications, such as RAG pipelines, agents, or tool and function calling.
Working knowledge of Docker, CI/CD and Kubernetes concepts. You don’t need to run the cluster, but you must deliver workloads that run well on one.
Experience with at least one major cloud provider (AWS, Azure or GCP).
A strong grasp of production practices: logging, monitoring, testing, versioning, secrets management and security.
Ability to work with both technical and non-technical colleagues, and to push back constructively when something isn’t ready for production.
A structured, documentation-minded approach and a high level of ownership.
Will be considered a plus:
Experience with AWS Bedrock and Amazon Bedrock AgentCore.
Experience with Microsoft 365 / Entra ID administration.
Experience in FinTech, brokerage, banking or another regulated industry.
Experience with agent frameworks (LangChain/LangGraph, CrewAI, AutoGen or similar) and vector databases.
Familiarity with LLM observability and evaluation tools (e.g. Langfuse, LangSmith, Arize).
Experience with MCP servers, Claude Code or similar developer AI tooling.
Knowledge of workflow automation tools (n8n, Make, Power Automate) and business systems such as Jira and HubSpot.
Understanding of data governance, GDPR and AI risk management.
By joining us, you can expect:
Unique Opportunity for a career in a global, fast-growing company.
Attractive remuneration package based on qualifications and experience (including 13th salary and Discretionary Bonuses to reward exceptional performance).
Opportunities to learn and grow through our “Employee Training & Development program”.
Medical Insurance Cover, which includes Outpatient, Inpatient, and Dental Care.
Multiple events to bond with the team and the group through Quarterly/Semestrial Team Activities for all the Company.
Participation in our welfare investment and savings plan through our Provident Fund Scheme.
Birthday and Loyalty benefits.
Collaboration with SportBenefit.
Make your next Career step and apply NOW!
*
Due to the
great number
of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.
Location: Argentina; Mexico; Colombia; Brazil; Costa Rica
Overview
We are seeking a
Senior Electrical Engineer
to design the electrical architecture of
modular data center power systems
supporting high-availability computing environments.
This role focuses on the design and integration of critical electrical infrastructure including
UPS systems, switchgear, power distribution units, generators, and battery systems
. The engineer will develop electrical schematics, power architectures, and production documentation for modular platforms used in mission-critical infrastructure.
The position works closely with
mechanical engineering, manufacturing, and integration teams
to deliver production-ready modular systems.
Requirements
Design electrical systems for
modular data centers
, including UPS systems, switchgear, and power distribution units
Develop
single line diagrams, electrical schematics, cable schedules, and electrical documentation
Design
redundant power architectures
such as N+1 and 2N systems for high-availability environments
Integrate
UPS systems, generators, battery systems, and electrical distribution infrastructure
Develop
monitoring and control systems
for critical power infrastructure
Coordinate electrical design with
mechanical cooling systems and equipment layouts
Support
commissioning activities and factory testing
of modular data center systems
Produce electrical documentation supporting
manufacturing, installation, and field deployment
Required Qualifications
Bachelor’s degree in
Electrical Engineering
8+ years of experience
in electrical design for critical power systems or data centers
Experience with
UPS systems, switchgear, and electrical power distribution infrastructure
Experience developing
single line diagrams, electrical schematics, and production documentation
Strong understanding of
redundant power architectures and critical power systems
Preferred Qualifications
Experience designing
modular data centers or prefabricated power systems
Familiarity with
Tier data center reliability architectures
Experience integrating
generator backup systems and battery infrastructure
Experience supporting
system commissioning and testing
Additional Requirements
Strong English communication skills
Ability to collaborate with distributed engineering teams
Previous experience working with
U.S.-based engineering teams
is valued
Benefits
Work for the most exciting companies in the North American Market.
Flexible schedules.
Work from anywhere.
Highly competitive compensation.
УдалённоseniorArgentina; Mexico; Colombia; Brazil; Costa Rica
Location: Mexico; Argentina; Colombia; Costa Rica; Panama
Company Overview
Our client designs and manufactures modular energy infrastructure supporting battery energy storage, power generation, and modular data centers. Their systems integrate batteries, inverters, transformers, and electrical distribution equipment into factory-built platforms deployed for utility-scale and commercial energy projects.
Position Overview
We are seeking a
Senior Electrical Engineer
to lead the electrical design and architecture of
Battery Energy Storage Systems (BESS)
.
This role is responsible for developing electrical distribution systems, protection schemes, and equipment integration for modular energy platforms that combine battery systems, inverters, transformers, and monitoring infrastructure.
The engineer will collaborate closely with mechanical, manufacturing, and integration teams to deliver production-ready systems.
Requirements
Design electrical architectures for BESS platforms including
AC and DC power distribution systems
.
Develop
single line diagrams, wiring diagrams, electrical schematics, and cable schedules
.
Integrate battery systems,
battery management systems (BMS), PCS inverters, transformers, and switchgear
.
Define
grounding strategies, protection schemes, and isolation methods
for high-power electrical systems.
Develop
monitoring, alarm, and shutdown logic
to ensure safe and reliable battery operation.
Coordinate electrical design with
mechanical layouts and enclosure constraints
.
Support
commissioning, factory acceptance testing (FAT), and troubleshooting
of energy storage systems.
Produce
production-ready electrical documentation
supporting manufacturing and system integration.
Required Qualifications
Bachelor’s degree in
Electrical Engineering
.
8+ years of experience
designing industrial electrical systems or power infrastructure.
Experience with
power distribution systems, protection systems, and electrical schematics
.
Experience integrating equipment such as
inverters, transformers, switchgear, or energy storage systems
.
Strong experience developing
technical documentation for engineering and manufacturing
.
Preferred Qualifications
Experience working with
Battery Energy Storage Systems (BESS)
or
microgrid power systems
.
Familiarity with
UL 9540, UL 1741, or similar energy storage safety standards
.
Experience integrating
SCADA, EMS, or energy monitoring systems
.
Previous experience supporting
renewable energy, data center power infrastructure, or large industrial power systems
.
Additional Requirements
Previous experience working with
U.S.-based engineering teams is valued
.
Fluent English communication skills
(spoken and written).
Ability to present a
portfolio of relevant engineering projects
, ideally including energy infrastructure or power systems.
Benefits
Work for the most exciting companies in the North American Market.
Flexible schedules.
Work from anywhere.
Highly competitive compensation.
Location: Mexico; Colombia; Brazil; Costa Rica; Peru
Overview
A growing engineering and manufacturing organization is seeking a
Senior Electrical Engineer
to lead the electrical design of modular generator power systems. These systems support mission-critical infrastructure including data centers, utilities, and industrial facilities.
This role focuses on designing generator electrical architecture, integrating switchgear and protection systems, and developing electrical documentation required for manufacturing and system deployment.
The engineer will collaborate with multidisciplinary engineering teams to deliver reliable, production-ready modular power platforms.
Requirements
Design electrical systems for generator power modules including power distribution and control systems
Develop single line diagrams, electrical schematics, and wiring documentation
Integrate generators with switchgear, transfer switches, and protection systems
Design generator synchronization and load sharing solutions
Develop monitoring and control architectures for generator operation
Create grounding strategies and protection coordination for power systems
Support commissioning and factory testing of generator power modules
Coordinate electrical design with mechanical enclosure and packaging teams
Produce electrical documentation supporting manufacturing and deployment
Required Qualifications
Bachelor’s degree in Electrical Engineering
8+ years of experience in electrical power system design
Experience with electrical distribution systems and protection devices
Experience developing industrial control systems and electrical schematics
Strong understanding of generator-based power systems
Preferred Qualifications
Experience with standby power systems or data center backup power infrastructure
Experience integrating generator controls and paralleling switchgear
Exposure to microgrid or hybrid power system architectures
Benefits
Work for the most exciting companies in the North American Market.
Flexible schedules.
Work from anywhere.
Highly competitive compensation.
УдалённоseniorMexico; Colombia; Brazil; Costa Rica; Peru
Location: United States
About Turing
Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at
www.turing.com
.
The Role
Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world’s leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience.
The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here:
Environments for Software Engineering / coding agents
UI-Environments for Computer-Use/Browser-Use agents
MCP-based Environments for general function-calling agents across various enterprise and consumer applications
We are seeking
Research Engineers
to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training.
You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications.
This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation.
What You’ll Do
1.
Conduct Research on Frontier AI Systems
Investigate the capabilities, limitations, and training methods of frontier AI systems.
Formulate research questions that can inform Turing’s products, platforms, and technical strategy.
Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation.
Stay current with advances in machine learning and identify opportunities for meaningful technical contribution.
2. Build and Evaluate Research Systems
Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks.
Train, test, and evaluate models using modern AI and machine learning tools.
Analyze results carefully and draw clear, evidence-based conclusions.
Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation.
Iterate quickly from early hypothesis through validated technical insight.
3. Translate Research into Practical Impact
Collaborate closely with Research, Engineering, Product, and Operations teams.
Translate research findings into improvements for Turing’s products, platforms, and AI capabilities.
Help identify which ideas are ready to move from exploration into scalable, real-world applications.
Communicate technical findings clearly to both specialized and cross-functional audiences.
4. Contribute to the Research Community
Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate.
Contribute to Turing’s research culture through technical discussions, peer review, mentorship, and collaboration.
Represent Turing thoughtfully within the broader AI research community.
What We’re Looking For
Research background:
PhD or Master’s degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered.
Technical depth:
Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling.
Relevant expertise:
Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks.
Research engineering ability:
Strong programming skills and the ability to implement, test, and iterate quickly in a research environment.
Scientific judgment:
Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making.
Communication and collaboration:
Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams.
A note from our CTO,
Ece Kamar
Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters.
Why Turing
Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design.
Build datasets and environments that directly improve the capabilities of advanced AI systems.
Help advance coding agents’ ability to understand, plan, and execute complex software-engineering tasks.
Apply frontier AI innovations to high-value enterprise workflows.
Operate with high autonomy, rapid iteration, and meaningful commercial impact.
Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies.
Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS.
Compensation:
$250,000 to $400,000 OTE + Equity
Values
We are client first:
We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
We work at Start-Up Speed:
We move fast, stay agile and favor action because momentum is the foundation of perfection
We are AI forward:
We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing
Work at the frontier of AI
, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
Contribute to leading-edge AI research
and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
Bring frontier AI innovation to the enterprise
, applying lessons learned from leading AI labs to solve real-world business challenges.
Collaborate with and learn from exceptional colleagues
with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
Move at the pace of AI innovation
, with the speed, ownership, and impact of a startup.
Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review
Turing's GDPR notice here
.
Location: Remote, Canada
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.
The Role
We're looking for an applied AI researcher who has worked hands-on with healthcare data and is building modern LLM, RAG, and agentic AI systems.
Reporting to the Vice President, Advanced Technology, you will be a member of the Advanced Technology / Applied AI Research team at PointClickCare.
You are a talented Senior Applied Researcher, looking to make a difference solving critical customer and business challenges in the dynamic healthcare market. You thrive applying creative and pragmatic solutions—from framing problems and preparing data, to selecting appropriate techniques, building and evaluating model systems—that will truly transform healthcare and enable our customers to deliver exceptional care.
Responsibilities
- Apply machine learning and AI techniques including GenAI and LLM-based approaches to develop model systems and solutions, collaborating across functions to scale and integrate these into large-scale cloud-based SaaS production environments for healthcare.
- Work with product leaders, clinical informaticists, data scientists, UI/UX researchers, engineers, and healthcare professionals to design and deliver high value solutions.
- Design, build and evaluate solutions that may involve structured or unstructured data for healthcare use cases, delivering capabilities such as predictive models, summarization, recommenders, semantic search, extraction, classification, or other AI/ML applications
- Perform research and experimentation to select appropriate approaches, algorithms, and evaluation methods, and execute the R&D needed to deliver production-ready model systems.
- Perform data collection, cleaning, analysis, prompt tuning, parameter fine-tuning, model training, development, and evaluation—using existing or developing new tools or workflows as needed.
- Apply and help evolve responsible AI evaluation practices, using approaches and frameworks such as LLM-as-judge, RAGAS, and LangSmith, and design and implement custom model performance and quality metrics as needed to ensure model quality, fairness, and safety at scale.
- Contribute to a collaborative team culture, sharing knowledge and helping develop new capabilities across the organization.
Required Experience
- Ph.D grad, with 1+ years related industry experience OR Masters grad with 4+ years industry experience--including at least 1 year directly related to healthcare ML/AI
- Proven industry experience through multiple major product releases in a commercial SaaS environment.
- Hands-on experience working with healthcare data (e.g. EHR, ADT, clinical notes).
- Proficiency in Python. Proficiency in Java or other languages helpful.
- Proficiency with SQL and data engineering for AI/ML applications.
- Experience working with large datasets using big data frameworks (e.g. Azure Data Lake, Apache Spark or Databricks)
- Solid understanding of transformer models and LLM-based approaches, including hands-on experience with prompt tuning and PEFT methods (e.g. LoRA, QLoRA) using frameworks such as Hugging Face Transformers.
- Experience building and evaluating models using modern ML packages such as NumPy, SciPy, Pandas, Scikit-learn, PyTorch, and LightGBM.
- Experience building and deploying models using public cloud infrastructure (Azure, AWS, or Google Cloud), including familiarity with version control, CI/CD pipelines, and scaling considerations for production ML systems at SaaS scale.
- Strong communication and collaboration skills; comfortable working on a distributed team.
- Experience with one or more of: reinforcement learning or RLHF, NLP techniques for summarization, extraction, classification, or semantic search, retrieval-augmented generation (RAG) pipelines and/or agentic frameworks (e.g. LangChain, LlamaIndex).
#LI-AV1
#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 $144,000-181,000 (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 - US
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.
The Role
We're looking for an applied AI researcher who has worked hands-on with healthcare data and is building modern LLM, RAG, and agentic AI systems.
Reporting to the Vice President, Advanced Technology, you will be a member of the Advanced Technology / Applied AI Research team at PointClickCare.
You are a talented Senior Applied Researcher looking to make a difference solving critical customer and business challenges in the dynamic healthcare market. You thrive applying creative and pragmatic solutions—from framing problems and preparing data, to selecting appropriate techniques, building and evaluating model systems—that will truly transform healthcare and enable our customers to deliver exceptional care.
Responsibilities
- Apply machine learning and AI techniques including GenAI and LLM-based approaches to develop model systems and solutions, collaborating across functions to scale and integrate these into large-scale cloud-based SaaS production environments for healthcare.
- Work with product leaders, clinical informaticists, data scientists, UI/UX researchers, engineers, and healthcare professionals to design and deliver high value solutions.
- Design, build and evaluate solutions that may involve structured or unstructured data for healthcare use cases, delivering capabilities such as predictive models, summarization, recommenders, semantic search, extraction, classification, or other AI/ML applications
- Perform research and experimentation to select appropriate approaches, algorithms, and evaluation methods, and execute the R&D needed to deliver production-ready model systems.
- Perform data collection, cleaning, analysis, prompt tuning, parameter fine-tuning, model training, development, and evaluation—using existing or developing new tools or workflows as needed.
- Apply and help evolve responsible AI evaluation practices, using approaches and frameworks such as LLM-as-judge, RAGAS, and LangSmith, and design and implement custom model performance and quality metrics as needed to ensure model quality, fairness, and safety at scale.
- Contribute to a collaborative team culture, sharing knowledge and helping develop new capabilities across the organization.
Required Experience
- Ph.D. grad, with 1+ years related industry experience OR Masters grad with 4+ years industry experience--including at least 1 year directly related to healthcare ML/AI
- Proven industry experience through multiple major product releases in a commercial SaaS environment.
- Hands-on experience working with healthcare data (e.g. EHR, ADT, clinical notes).
- Proficiency in Python. Proficiency in Java or other languages helpful.
- Proficiency with SQL and data engineering for AI/ML applications.
- Experience working with large datasets using big data frameworks (e.g. Azure Data Lake, Apache Spark or Databricks)
- Solid understanding of transformer models and LLM-based approaches, including hands-on experience with prompt tuning and PEFT methods (e.g. LoRA, QLoRA) using frameworks such as Hugging Face Transformers.
- Experience building and evaluating models using modern ML packages such as NumPy, SciPy, Pandas, Scikit-learn, PyTorch, and LightGBM.
- Experience building and deploying models using public cloud infrastructure (Azure, AWS, or Google Cloud), including familiarity with version control, CI/CD pipelines, and scaling considerations for production ML systems at SaaS scale.
- Strong communication and collaboration skills; comfortable working on a distributed team.
- Experience with one or more of: reinforcement learning or RLHF, NLP techniques for summarization, extraction, classification, or semantic search, retrieval-augmented generation (RAG) pipelines and/or agentic frameworks (e.g. LangChain, LlamaIndex).
#-LI-AV1
#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 USD base salary range for this position is $163,000-204,000 (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: Budapest
We are looking for a highly experienced and versatile Fullstack Engineer to join our dynamic team. This role requires a strong background in agile development practices, close collaboration with team members and product owners, and the ability to design and negotiate technical solutions end-to-end across the technical domain. Familiarity with AI tools and services to augment development practices is highly desirable.
The Wow
Our Product Development organisation spans across 5 locations, with the most creative teams in the industry! If you are passionate about the latest technologies and can handle mission-critical responsibilities, then this is the role for you!
We are operating in a very competitive market therefore we MUST use latest technologies. Our aim is to create the best performance, functionality, and user experience in the iGaming industry!
You will be part of a passionate team, which is building an industry leading, scalable, multi-brand platform to support 40+ online brands! Our brands are used by hundreds of thousands of users and growing.
What's in it for you?
Player Account Management (PAM) Area covers everything related to the management of the player accounts, such as:
Account creation, verification, updates, and closure
Account authentication, controls, and security
User session management
Responsible Gaming
A taste of what you will be doing
Design, develop, and maintain scalable fullstack applications using .NET (preferably .NET 9) and Angular.
Integrate and manage messaging systems such as Kafka and RabbitMQ.
Deploy and manage applications using Docker and Kubernetes in AWS environments.
Work with various databases including PostgreSQL, MSSQL, and Couchbase.
Implement search capabilities using OpenSearch or Elasticsearch.
Write and maintain frontend code using TypeScript and ensure quality with Playwright or Cypress.
Collaborate closely with team members and product owners in an agile environment ensuring that the organization’s business goals are met.
Utilize AI tools and services to enhance development workflows and productivity.
You are good at
Extensive experience with .NET technologies, preferably .NET 9.
Strong proficiency in Angular and TypeScript.
Hands-on experience with Kafka, RabbitMQ, Docker, and Kubernetes.
Proficient in working with AWS cloud services.
Deep understanding of relational and NoSQL databases including PostgreSQL, MSSQL, and Couchbase.
Experience with search technologies like OpenSearch or Elasticsearch.
Familiarity with frontend testing frameworks such as Playwright or Cypress.
Proven experience working in agile development environments.
Excellent communication and collaboration skills.
Extra awesome
Experience designing and negotiating technical solutions across teams.
Ability to design and implement end-to-end solutions across the full technology stack.
Exposure to and use of AI tools and services to support software development.
What we offer
Fitness-wellness allowance
🧗♂️
Company mobile phone for private use with 100 GB
📱
Annual HUF devaluation compensation
💡
Hybrid model: 3 days in the office 🏢
& 2 days from home
🏠
Private Health Insurance
🩺
Career development
📈
Technical and soft-skill training opportunities 🎓
Breakfast, fruits & lunch 🍎
Team building events
🥳
Challenge accepted?
If you are interested to learn more, please apply with your CV in English.
By submitting your application, you understand that your personal data will be processed as set out in our
Privacy Policy
Location: Salt Lake City, Utah, United States
About the Role
iCapital is looking for a Software Developer in Test to join the Quality Assurance team. The ideal candidate brings practical knowledge of agile development methodologies and engineering best practices. As a Software Developer in Test (SDET), this role will work closely with the Development and Testing team. This individual will serve as a hands-on test engineer capable of understanding, enhancing, and implementing existing automation test frameworks. This role will also collaborate closely with other engineers and product managers to support feature‑based testing.
Responsibilities
Build and implement robust automated test suites for API and backend services.
Develop and maintain automated tests using Behave (BDD) and Python, ensuring coverage of new features and system enhancements.
Integrate automated test suites into existing GitLab CI/CD pipelines and deployment workflows.
Maintain and improve automation frameworks to accommodate evolving system architecture, including blockchain‑based components.
Collaborate with developers, product managers, and DevOps engineers to ensure testability and quality across distributed systems.
Create and manage defect workflows integrated with tools such as JIRA, ensuring clear communication and traceability.
Define, track, and publish meaningful QA metrics to support automated test development, execution, and overall quality reporting.
Build and maintain performance and load testing suites for critical backend services and smart‑contract interactions.
Perform all types of testing as needed like functional, API, automation, performance, and integration testing.
Contribute to continuous improvement of QA processes, tooling, and best practices within an agile environment.
Qualifications
8+ years of experience with QA engineering delivery experience with a strong focus on backend and API testing
4+ years of delivery within Agile SDLC teams ideally with CICD
Hands-on Python programming experience, including strong knowledge of Behave (BDD), test-driven development (TDD), and QA design patterns.
Strong experience testing REST APIs, backend microservices, and distributed systems
Experience working with blockchain technologies (i.e. smart contracts, distributed ledgers, and blockchain node interaction) is preferred
Solid understanding of CI/CD tooling and pipelines, especially GitLab CI/CD
Proven knowledge of testing tools such as Behave, PyTest, Postman or REST Tools, JMeter or similar performance tools
Proficient in CI/CD technologies like Gitlab, Git, Jenkins, and Docker
Working knowledge of Python
AI Integration experience is preferred
Exposure to banking or finance environments is preferred
Benefits
The base salary range for this role is $110,000 to $130,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.
For additional information on iCapital, please visit
https://www.icapitalnetwork.com/about-us
Twitter: @icapitalnetwork | LinkedIn:
https://www.linkedin.com/company/icapital-network-inc
| Awards Disclaimer:
https://www.icapitalnetwork.com/about-us/recognition/
iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Location: Remote, US
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
Location: San Francisco, California
An overview of this role
As the Manager, Solutions Architects for our Enterprise team in the San Francisco Bay area, you'll lead a distributed group of intermediate and senior Solutions Architects serving enterprise customers in the West sales territory. You'll guide your team to act as trusted advisors to GitLab prospects and customers, helping them validate GitLab's Enterprise Edition as the right technical and business solution and supporting successful adoption of the GitLab platform across the entire software development lifecycle. You'll hire, coach, and retain a high-performing team, set clear expectations, and be accountable for how your team runs complex technical evaluations, articulates business outcomes, and collaborates with Sales, Engineering, Product Management, and Marketing. You'll model the work of a Solutions Architect yourself, from solution design through technical presentations, so your team is equipped to drive meaningful customer change with GitLab.
What you'll do
Lead a distributed team of intermediate and senior Solutions Architects supporting Enterprise customers in the West territory.
Coach, mentor, and develop team members through regular feedback, career support, and skills development in both technical and consultative areas.
Grow and retain a high-performing team by hiring thoughtfully, onboarding effectively, and fostering an inclusive, results-focused culture.
Guide by example by engaging in key customer opportunities as a Solutions Architect, from discovery through technical validation and successful adoption of the GitLab platform.
Drive the quality and consistency of technical evaluations, demos, and proofs of concept so that GitLab solutions clearly address customer business and technical requirements.
Collaborate closely with regional sales managers on territory strategy, account planning, and forecast support to ensure alignment between technical and commercial motions.
Partner with Product Management, Engineering, and Marketing to share field insights, influence the roadmap, and improve messaging around GitLab's Enterprise Edition and platform capabilities.
Own team execution by defining and tracking key performance indicators, and communicate progress, risks, and priorities clearly to your team, peers, and leadership.
What you'll bring
Experience mentoring and developing technical team members, including giving and receiving constructive feedback.
Experience managing or leading technical pre-sales or information technology professionals, ideally in an enterprise-focused environment.
Ability to collaborate effectively with other managers and cross-functional partners to plan and execute sales and go-to-market strategies.
Strong technical presentation and communication skills, with the ability to engage both technical and business stakeholders.
Knowledge of the end-to-end software development lifecycle, including modern software development or operations practices.
Understanding of continuous integration and continuous deployment concepts and their impact on customer outcomes.
Familiarity with cloud computing concepts, related technologies, and common customer adoption patterns.
Ability and willingness to travel in line with business needs and the company's travel policy, and openness to learning and using GitLab and related tools, including through transferable experience from adjacent domains.
About the team
The Enterprise Solutions Architect team partners with our largest customers to design and validate technical solutions that drive successful adoption of the GitLab platform. This role leads a group of intermediate and senior Solutions Architects aligned to the West Enterprise sales territory, working closely with Sales, Engineering, Product Management, and Marketing to support complex evaluations and long-term customer outcomes. We operate in a fully remote, asynchronous way across North America, using GitLab and our handbook-first approach to stay aligned on strategy, share technical best practices, and continuously improve how we support the sales cycle. Key opportunities for our team include deepening technical adoption of GitLab Enterprise Edition, connecting customer business goals with architectural recommendations, and serving as strong product advocates in the field.
Compensation Details
Please note this role can be filled at either the Manager or Senior Manager levels. Details for base salary at the Manager level are listed below, but please note the OTE range for the Manager role is 205,600 - 308,400. Additionally the base salary for the Senior Manager level is 186,600 - 279,900 and the OTE for the Senior Manager level is 248,800 - 373,200.
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$154,200
—
$231,300 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
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