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DevOps Engineer
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Linqia is the leader in the influencer marketing industry. We’re a growing tech start-up, having experienced 100% year-over-year growth and break-even. At Linqia, we partner with the world’s largest brands including Danone, AB InBev, Kimberly-Clark, Unilever, and Walmart to build compelling and effective influencer marketing campaigns. Our AI-driven platform and team of experts are leading the transformation of influencer marketing.
We value intelligence, recognize talent and have instilled a culture that supports career development and growth for our employees. We thrive on innovation and accountability, with a customer first attitude that adds true value to everything we touch. Our team members are smart, hard-working, have integrity and love to have fun as we play to win.
SOFTWARE AND INFRASTRUCTURE DEVOPS ENGINEER
Experience level 3+ YoE supporting production saas in AWS
Location Anywhere in LATAM preferably in Colombia
Employment type Full‑time contract
ABOUT THE ROLE
Build out a cloud‑native team that owns the entire software delivery life cycle on Amazon Web Services. You will combine deep Kubernetes expertise with Python and shell scripting to automate, monitor, and continuously improve the Linqia platform while driving FinOps practices to keep our cloud footprint efficient. Work in a GitOps culture where every change is delivered through pull requests and rolled out by automated pipelines.
WHAT YOU WILL DO
- Design, maintain, and evolve our AWS account structure, VPC networking, IAM policies, security boundaries, and cost‑management controls using Terraform and the AWS console
- Maintain secure networking layers with AWS load balancers, ingress controllers, service‑mesh policies, network policies, and zero‑trust principles
- Operate and harden production‑grade Kubernetes clusters on AWS EKS, including upgrades, service mesh, policy management, and multi‑cluster architectures driven by Argo CD
- Build reusable infrastructure‑as‑code modules with Terraform that provision cloud resources in minutes while enforcing tagging standards and least‑privilege access
- Create self‑service CI/CD pipelines in Jenkins and GitHub Actions for fast, safe releases with automated testing and promotion across environments
- Deliver real‑time observability with Datadog, Prometheus, Grafana, CloudWatch, and OpenTelemetry, and use these tools to assist in solving production bugs and issues
- Administer and maintain purpose-built Linux VMs via configuration management tools like Puppet, Ansible, or Chef
- Deploy, scale, and maintain databases on AWS (Aurora, PostgreSQL, MySQL, OpenSearch, etc.), maintaining high database performance/uptime, optimizing tables and datasets, and ensuring disaster recovery protocols are in place.
- Support developers by maintaining Podman‑based local dev boxes and Kubernetes staging environments that mirror production, ensuring smooth hand‑off from local code to cloud‑native deployments
- Implement FinOps practices: track and forecast AWS spend, enforce cost‑allocation tagging, identify rightsizing opportunities, manage Savings Plans or Reserved Instances, and build cost‑optimisation dashboards for engineering and finance stakeholders
- Write automation utilities and command‑line tools in Python and craft shell scripts that glue components and workflows together
- Champion reliability through incident reviews, capacity planning, game days, chaos testing, and service‑level objective tracking
- Collaborate in Agile rituals, plan sprints, refine backlog tickets, and pair with peers to spread DevOps and FinOps best practices
WHAT YOU BRING
- Bachelor degree in Computer Science or equivalent practical experience
- three plus years working with cloud infrastructure or platform engineering focused on AWS
- Deep hands‑on experience with Kubernetes, preferably EKS, covering upgrades, networking, storage, RBAC, and custom resources
- Proficiency in Python and Bash or Zsh scripting
- Strong understanding of core AWS services EC2, VPC, IAM, ALB, S3, RDS, CloudFormation, and CloudWatch
- Demonstrated experience applying FinOps principles: cost monitoring, forecasting, and optimisation on AWS
- Solid experience with Docker and container runtimes, with emphasis on Podman for local development environments
- Hands‑on practice with configuration‑management tools such as Ansible or Puppet and infrastructure‑as‑code with Terraform
- Proven use of Datadog for metrics, logs, and APM, plus familiarity with Prometheus and Grafana dashboards
- Comfortable with Git‑based workflows, feature branching, and pull‑request reviews
- Strong SQL skills and a deep understanding of relational database internals
- Competent in Linux administration, process troubleshooting, and performance tuning
- Practical knowledge of TCP/IP, HTTP, TLS, DNS, and common networking tools
- Clear communication skills and an ability to translate complex technical topics to diverse audiences
- Familiarity with Scrum or Kanban and a continuous‑improvement mindset
EXTRA CREDIT
- AWS certifications such as Solutions Architect, DevOps Engineer, or FinOps Practitioner
- Experience with AWS security tooling GuardDuty, Security Hub, IAM Access Analyzer, and KMS
- Building data pipelines with Apache Spark, Flink, or similar frameworks
- Implementing event‑driven architectures with Kafka Streams or KSQL
- Applying SRE practices such as error budgets and service‑level dashboards
- Exposure to machine‑learning workflows, ModelOps, or MLOps in production
This position description is intended to describe the duties most frequently performed by an individual in this position. Linqia is an equal opportunity employer supporting workforce diversity. We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Headhunters and recruitment agencies may not submit resumes or candidates through this Web site or directly to employees. Linqia does not accept unsolicited headhunter and agency resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with us.
Ready to apply?
Apply to Linqia
Back End Developer (Adobe Experience Manager)
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This role is part of the team responsible for delivering enterprise-level digital solutions using Adobe Experience Manager (AEM). The Back End Developer will act as a key contributor, providing expertise in AEM Cloud and Java development, and supporting the implementation process through high-quality, scalable code. You will collaborate closely with the Technical Lead, Technical Director, Project Management, and Frontend teams to deliver efficient and reliable solutions. This role is in the organization to provide expertise in specific platforms that are commonly leveragedby clients. Output of this role is to develop code as a part of the implementation process.
You Will:
- Act as a subject matter expert in platform development, primarily working on Adobe Experience Manager (AEM Cloud) projects
- Support technical design and backend development in collaboration with Tech Leads and Project Managers
- Develop unit test cases and perform unit testing
- Build and maintain integrations between AEM and other enterprise systems (RESTful services, APIs)
- Troubleshoot and resolve issues within the AEM platform and related services
- Manage and support content deployment workflows within AEM Cloud
- Collaborate closely with frontend developers to ensure seamless integrations
- Participate in Agile workflows, including ticket management, status updates, and documentation (Jira, Confluence)
- Support QA teams during testing phases and contribute to overall product quality
- Be a source of expertise on platform development projects [e.g., Adobe Experience Manager projects]
- Develop and maintain backend services [e.g., sling servlets, sling models, OSGi components andservices, workflows, etc. for AEM.]
- Develop Unit test cases and perform unit testing
- Manage and develop the integrations between various systems and the platform
- Troubleshoot issues that arise on the platform [e.g., AEM]
- Manage and maintain the content deployment workflows in the platform
- Support quality assurance team in testing activities
You Have:
- Hands-on experience with:
- Adobe Experience Manager (AEM), ideally AEM Cloud
- Java development (core and frameworks)
- RESTful web services and system integrations
- Frameworks and tools such as Sling, JCR, OSGi
- Git / Bitbucket
- Jira and Confluence
- Web development tools and frameworks [JSP, JavaScript, HTML 5 and CSS]
- Using Code Editors like Visual Studio Code, IntelliJ IDEA or similar
- Ability to build systems that are easy to use, maintainable and scalable
- Ability to effectively contribute to enterprise-grade development projects
- Good understanding of the need to test and document your code with an excellent attention to detail
- Ability to deliver maintainable and scalable code on time
- Ability and desire to thrive in a fast-paced, client-service environment
- Ability to learn and adapt to new technologies quickly
- Excellent verbal and written communicator, ability to speak tech to non-tech people
- Should be able to efficiently update on task status, blockers, dependencies on time
- Moderate experience in platforms and content management systems [Adobe Experience Manager]
Nice to have:
- JIRA, Confluence, SharePoint Site is an asset
- Docker, Vagrant, Chef or Puppet is an asset
- Configuring web servers such as Apache or NGINX is an asset
- Configuration management is an asset [e.g., OSGi configurations]
- Using and configuring build automation tools [Maven, Jenkins, TeamCity, Bamboo]
What we offer:
- Maternity and parental leave extra days
- Competitive benefits packages
- Vacation, compassionate leave, sick days, and flex days
- Access to online services for families and new parents
- Diversity and Inclusion Board with 12 affinity groups
- Internal learning and development programs
- Enterprise-wide employee discounts
- And more…
At Critical Mass, we value our employees and offer competitive compensation and benefits packages. If you’re looking for a challenging and rewarding opportunity to make a significant impact on the lives of our employees, we encourage you to apply for this exciting position today!
The Talent Team at Critical Mass is focused on ensuring we provide the best training, onboarding, and employee experience possible! Our new hires & employees are the future of our organization, and we want to set you up for long-term success. In an effort to do so, we expect our team to work from an office a minimum of 3 days a week.
The ask stems from our want to:
Strengthen opportunity for continuous learning
Improve collaboration and team relationships.
Increase employee engagement
This work model balances the need for individual flexibility while maintaining the relentless customer focus we provide at CM. We understand that not everyone may feel comfortable with this expectation, so we ask that you please let us know immediately if there are any concerns so we can help navigate accordingly.
Critical Mass is an equal opportunity employer.
Critical Mass uses artificial intelligence in our recruitment process to enhance job postings, filter keywords during the review of prospective candidates, and, in some cases, transcribe interviews with our recruiters. Human review remains central to the process, and all hiring decisions are ultimately made by our team.
The Critical Mass Talent Acquisition team will only communicate from email addresses that use the URLs criticalmass.com, omc.com and us.greenhouse-mail.io. We will not use apps such as Facebook Messenger, WhatsApp, or Google Hangouts for communicating with you. We will never ask you to send us money, technology, or anything else to work for our company. If you believe you are the victim of a scam, please review your local government consumer protections guidance and reach out to them directly.
If U.S. based: https://www.consumer.ftc.gov/articles/job-scams#avoid
If Canada based: https://www.canada.ca/en/services/finance/consumer-affairs.html
If U.K. based: https://www.gov.uk/consumer-protection-rights
If Costa Rica based: https://www.consumo.go.cr/educacion_consumidor/consejos_practicos.aspx
Ready to apply?
Apply to Critical MassBack End Developer (Adobe Experience Manager)
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This role is part of the team responsible for delivering enterprise-level digital solutions using Adobe Experience Manager (AEM). The Back End Developer will act as a key contributor, providing expertise in AEM Cloud and Java development, and supporting the implementation process through high-quality, scalable code. You will collaborate closely with the Technical Lead, Technical Director, Project Management, and Frontend teams to deliver efficient and reliable solutions. This role is in the organization to provide expertise in specific platforms that are commonly leveragedby clients. Output of this role is to develop code as a part of the implementation process.
You Will:
- Act as a subject matter expert in platform development, primarily working on Adobe Experience Manager (AEM Cloud) projects
- Support technical design and backend development in collaboration with Tech Leads and Project Managers
- Develop unit test cases and perform unit testing
- Build and maintain integrations between AEM and other enterprise systems (RESTful services, APIs)
- Troubleshoot and resolve issues within the AEM platform and related services
- Manage and support content deployment workflows within AEM Cloud
- Collaborate closely with frontend developers to ensure seamless integrations
- Participate in Agile workflows, including ticket management, status updates, and documentation (Jira, Confluence)
- Support QA teams during testing phases and contribute to overall product quality
- Be a source of expertise on platform development projects [e.g., Adobe Experience Manager projects]
- Develop and maintain backend services [e.g., sling servlets, sling models, OSGi components andservices, workflows, etc. for AEM.]
- Develop Unit test cases and perform unit testing
- Manage and develop the integrations between various systems and the platform
- Troubleshoot issues that arise on the platform [e.g., AEM]
- Manage and maintain the content deployment workflows in the platform
- Support quality assurance team in testing activities
You Have:
- Hands-on experience with:
- Adobe Experience Manager (AEM), ideally AEM Cloud
- Java development (core and frameworks)
- RESTful web services and system integrations
- Frameworks and tools such as Sling, JCR, OSGi
- Git / Bitbucket
- Jira and Confluence
- Web development tools and frameworks [JSP, JavaScript, HTML 5 and CSS]
- Using Code Editors like Visual Studio Code, IntelliJ IDEA or similar
- Ability to build systems that are easy to use, maintainable and scalable
- Ability to effectively contribute to enterprise-grade development projects
- Good understanding of the need to test and document your code with an excellent attention to detail
- Ability to deliver maintainable and scalable code on time
- Ability and desire to thrive in a fast-paced, client-service environment
- Ability to learn and adapt to new technologies quickly
- Excellent verbal and written communicator, ability to speak tech to non-tech people
- Should be able to efficiently update on task status, blockers, dependencies on time
- Moderate experience in platforms and content management systems [Adobe Experience Manager]
Nice to have:
- JIRA, Confluence, SharePoint Site is an asset
- Docker, Vagrant, Chef or Puppet is an asset
- Configuring web servers such as Apache or NGINX is an asset
- Configuration management is an asset [e.g., OSGi configurations]
- Using and configuring build automation tools [Maven, Jenkins, TeamCity, Bamboo]
What we offer:
- Maternity and parental leave extra days
- Competitive benefits packages
- Vacation, compassionate leave, sick days, and flex days
- Access to online services for families and new parents
- Diversity and Inclusion Board with 12 affinity groups
- Internal learning and development programs
- Enterprise-wide employee discounts
- And more…
At Critical Mass, we value our employees and offer competitive compensation and benefits packages. If you’re looking for a challenging and rewarding opportunity to make a significant impact on the lives of our employees, we encourage you to apply for this exciting position today!
The Talent Team at Critical Mass is focused on ensuring we provide the best training, onboarding, and employee experience possible! Our new hires & employees are the future of our organization, and we want to set you up for long-term success. In an effort to do so, we expect our team to work from an office a minimum of 3 days a week.
The ask stems from our want to:
Strengthen opportunity for continuous learning
Improve collaboration and team relationships.
Increase employee engagement
This work model balances the need for individual flexibility while maintaining the relentless customer focus we provide at CM. We understand that not everyone may feel comfortable with this expectation, so we ask that you please let us know immediately if there are any concerns so we can help navigate accordingly.
Critical Mass is an equal opportunity employer.
Critical Mass uses artificial intelligence in our recruitment process to enhance job postings, filter keywords during the review of prospective candidates, and, in some cases, transcribe interviews with our recruiters. Human review remains central to the process, and all hiring decisions are ultimately made by our team.
The Critical Mass Talent Acquisition team will only communicate from email addresses that use the URLs criticalmass.com, omc.com and us.greenhouse-mail.io. We will not use apps such as Facebook Messenger, WhatsApp, or Google Hangouts for communicating with you. We will never ask you to send us money, technology, or anything else to work for our company. If you believe you are the victim of a scam, please review your local government consumer protections guidance and reach out to them directly.
If U.S. based: https://www.consumer.ftc.gov/articles/job-scams#avoid
If Canada based: https://www.canada.ca/en/services/finance/consumer-affairs.html
If U.K. based: https://www.gov.uk/consumer-protection-rights
If Costa Rica based: https://www.consumo.go.cr/educacion_consumidor/consejos_practicos.aspx
Ready to apply?
Apply to Critical Mass
Staff Flight Sciences Software and HPC Engineer
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Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufacturing, and operating an all-electric aircraft that can carry four passengers while producing minimal noise.
Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members.
What you’ll do:
- Design, implement, and maintain internal software libraries and applications as well as computing infrastructure to enable engineers to solve problems faster and more efficiently. Promote the use of shared computational infrastructure, tools, and practices across engineering teams within the Flight Sciences department.
- Develop processes and software tools to improve the reproducibility and traceability of computations. Drive the implementation of such tools.
- Promote a culture of software excellence across the engineering organization.
- Understand the needs of various engineering teams to efficiently utilize High-Performance Computing (HPC) resources, and make informed decisions on infrastructure solutions to ensure optimal resource utilization and cost savings.
- Maintain and administer on-premises HPC resources.
- Advocate for engineering and computing needs with the company-wide IT department.
What you need:
- Master's or Ph.D. in Aerospace Engineering, Mechanical Engineering, Computational Engineering, or a related field.
- 5+ years of experience as a user and developer of scientific/engineering software for flight sciences or similar disciplines (such as aerodynamics, acoustics, control, loads, thermal analysis, mass properties, vehicle simulation, etc.) in a fast-moving environment.
- Demonstrated experience in developing computing software and infrastructure, with proficiency in the scientific Python ecosystem (NumPy, SciPy, Pandas, Scikit-learn, TensorFlow/PyTorch, VTK).
- Demonstrated experience in standard best practices in software development, including version control, CI/CD, software testing, environment management.
- Demonstrated experience with the design and administration of HPC systems, either on-premise or cloud (AWS preferred). Knowledge of Linux administration, high speed network interconnects, parallel file systems, and MPI required.
- Experience with HPC management software (Slurm/PBS/Torque, OpenHPC/Bright, Warewulf/XCat, Spack/EasyBuild, Lmod).
- Good understanding of enterprise IT and common network security practices.
- Excellent problem-solving skills and ability to work collaboratively in a team environment.
Bonus qualifications:
- Experience as an engineer in one or more of the following areas of aircraft design - aerodynamics, conceptual design, rotor/propeller design, vehicle simulation, loads and dynamics, structural design, stress analysis, GNC.
- Contributions to open source scientific software projects.
- Experience with MATLAB and Simulink.
- Proficiency in one or more compiled languages (e.g. C/C++, Fortran, Rust).
- Familiarity with databases (SQL, NoSQL, time-series) and database application design (ORM/ODM).
- Experience with software packaging (Pip, Conda, Spack) and containerization technologies (Docker/Singularity/Shifter) for scientific software.
- Familiarity with software configuration management tools (Chef/Puppet/Ansible).
- Familiarity with common CI/CD tools and practices (TeamCity/Jenkins, Artifactory, Docker, etc.).
- Experience with analysis tools and workflows for aircraft/rotorcraft design (aerodynamics, CFD, GNC, loads, structural analysis, CAD, mass properties, etc.).
At Archer, we aim to attract, retain, and motivate talent with the skills and leadership needed to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s strategy. For this position, we are targeting a base pay range of $162,800 - $217,600. Actual compensation offered will be determined by job-related knowledge, skills, and experience.
Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.
Information collected and processed as part of any job applications you choose to submit is subject to Archer's Candidate Privacy Policy.
Archer is unable to provide work visa sponsorship for this position at the present time.
Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.
Archer Aviation does not engage with external recruiting agencies/individual recruiters with whom it does not have a prior written agreement. Archer reserves the right to make use of any unsolicited resumes that it receives and bears no responsibility for payment of any fees asserted from the use of unsolicited resumes. If you are a recruiting agency or individual recruiter wishing to do business with Archer, please reach out to People@archer.com. All employment processes are managed by the Archer People Team.
Ready to apply?
Apply to Archer
DevOps Engineer
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Linqia is the leader in the influencer marketing industry. We’re a growing tech start-up, having experienced 100% year-over-year growth and break-even. At Linqia, we partner with the world’s largest brands including Danone, AB InBev, Kimberly-Clark, Unilever, and Walmart to build compelling and effective influencer marketing campaigns. Our AI-driven platform and team of experts are leading the transformation of influencer marketing.
We value intelligence, recognize talent and have instilled a culture that supports career development and growth for our employees. We thrive on innovation and accountability, with a customer first attitude that adds true value to everything we touch. Our team members are smart, hard-working, have integrity and love to have fun as we play to win.
SOFTWARE AND INFRASTRUCTURE DEVOPS ENGINEER
Experience level 3+ YoE supporting production saas in AWS
Location Anywhere in LATAM preferably in Colombia
Employment type Full‑time contract
ABOUT THE ROLE
Build out a cloud‑native team that owns the entire software delivery life cycle on Amazon Web Services. You will combine deep Kubernetes expertise with Python and shell scripting to automate, monitor, and continuously improve the Linqia platform while driving FinOps practices to keep our cloud footprint efficient. Work in a GitOps culture where every change is delivered through pull requests and rolled out by automated pipelines.
WHAT YOU WILL DO
- Design, maintain, and evolve our AWS account structure, VPC networking, IAM policies, security boundaries, and cost‑management controls using Terraform and the AWS console
- Maintain secure networking layers with AWS load balancers, ingress controllers, service‑mesh policies, network policies, and zero‑trust principles
- Operate and harden production‑grade Kubernetes clusters on AWS EKS, including upgrades, service mesh, policy management, and multi‑cluster architectures driven by Argo CD
- Build reusable infrastructure‑as‑code modules with Terraform that provision cloud resources in minutes while enforcing tagging standards and least‑privilege access
- Create self‑service CI/CD pipelines in Jenkins and GitHub Actions for fast, safe releases with automated testing and promotion across environments
- Deliver real‑time observability with Datadog, Prometheus, Grafana, CloudWatch, and OpenTelemetry, and use these tools to assist in solving production bugs and issues
- Administer and maintain purpose-built Linux VMs via configuration management tools like Puppet, Ansible, or Chef
- Deploy, scale, and maintain databases on AWS (Aurora, PostgreSQL, MySQL, OpenSearch, etc.), maintaining high database performance/uptime, optimizing tables and datasets, and ensuring disaster recovery protocols are in place.
- Support developers by maintaining Podman‑based local dev boxes and Kubernetes staging environments that mirror production, ensuring smooth hand‑off from local code to cloud‑native deployments
- Implement FinOps practices: track and forecast AWS spend, enforce cost‑allocation tagging, identify rightsizing opportunities, manage Savings Plans or Reserved Instances, and build cost‑optimisation dashboards for engineering and finance stakeholders
- Write automation utilities and command‑line tools in Python and craft shell scripts that glue components and workflows together
- Champion reliability through incident reviews, capacity planning, game days, chaos testing, and service‑level objective tracking
- Collaborate in Agile rituals, plan sprints, refine backlog tickets, and pair with peers to spread DevOps and FinOps best practices
WHAT YOU BRING
- Bachelor degree in Computer Science or equivalent practical experience
- three plus years working with cloud infrastructure or platform engineering focused on AWS
- Deep hands‑on experience with Kubernetes, preferably EKS, covering upgrades, networking, storage, RBAC, and custom resources
- Proficiency in Python and Bash or Zsh scripting
- Strong understanding of core AWS services EC2, VPC, IAM, ALB, S3, RDS, CloudFormation, and CloudWatch
- Demonstrated experience applying FinOps principles: cost monitoring, forecasting, and optimisation on AWS
- Solid experience with Docker and container runtimes, with emphasis on Podman for local development environments
- Hands‑on practice with configuration‑management tools such as Ansible or Puppet and infrastructure‑as‑code with Terraform
- Proven use of Datadog for metrics, logs, and APM, plus familiarity with Prometheus and Grafana dashboards
- Comfortable with Git‑based workflows, feature branching, and pull‑request reviews
- Strong SQL skills and a deep understanding of relational database internals
- Competent in Linux administration, process troubleshooting, and performance tuning
- Practical knowledge of TCP/IP, HTTP, TLS, DNS, and common networking tools
- Clear communication skills and an ability to translate complex technical topics to diverse audiences
- Familiarity with Scrum or Kanban and a continuous‑improvement mindset
EXTRA CREDIT
- AWS certifications such as Solutions Architect, DevOps Engineer, or FinOps Practitioner
- Experience with AWS security tooling GuardDuty, Security Hub, IAM Access Analyzer, and KMS
- Building data pipelines with Apache Spark, Flink, or similar frameworks
- Implementing event‑driven architectures with Kafka Streams or KSQL
- Applying SRE practices such as error budgets and service‑level dashboards
- Exposure to machine‑learning workflows, ModelOps, or MLOps in production
This position description is intended to describe the duties most frequently performed by an individual in this position. Linqia is an equal opportunity employer supporting workforce diversity. We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Headhunters and recruitment agencies may not submit resumes or candidates through this Web site or directly to employees. Linqia does not accept unsolicited headhunter and agency resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with us.
Ready to apply?
Apply to Linqia
Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA.
Figure’s vision is to deploy autonomous humanoids at a global scale. Our Helix team is looking for an experienced Training Infrastructure Engineer, to take our infrastructure to the next level. This role is focused on managing the training cluster, implementing distributed training algorithms, data loaders, and developer tools for AI researchers. The ideal candidate has experience building tools and infrastructure for a large-scale deep learning system.
Responsibilities
- Design, deploy, and maintain Figure's training clusters
- Architect and maintain scalable deep learning frameworks for training on massive robot datasets
- Work together with AI researchers to implement training of new model architectures at a large scale
- Implement distributed training and parallelization strategies to reduce model development cycles
- Implement tooling for data processing, model experimentation, and continuous integration
Requirements
- Strong software engineering fundamentals
- Bachelor's or Master's degree in Computer Science, Robotics, Engineering, or a related field
- Experience with Python and PyTorch
- Experience managing HPC clusters for deep neural network training
- Minimum of 4 years of professional, full-time experience building reliable backend systems
Bonus Qualifications
- Experience managing cloud infrastructure (AWS, Azure, GCP)
- Experience with job scheduling / orchestration tools (SLURM, Kubernetes, LSF, etc.)
- Experience with configuration management tools (Ansible, Terraform, Puppet, Chef, etc.)
The US base salary range for this full-time position is between $150,000 - $350,000 annually.
The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.
Ready to apply?
Apply to Figure
Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot is designed for commercial tasks and the home. We are based in San Jose and require 5 days/week in-office collaboration. It’s time to build.
Figure’s vision is to deploy autonomous humanoids at a global scale. Our Helix team is looking for an experienced Data Infrastructure Engineer, to take our AI data infrastructure to the next level. This role is focused on building tools and software components that offload, store, manipulate and provide access to robot data, managing on premise and cloud resources, and providing production support for this infrastructure. The ideal candidate has experience building tools and infrastructure for a large-scale autonomous / deep learning system.
Responsibilities
- Design, build, and maintain tools and software components that offload, store, manipulate and provide access to robot data
- Architect and manage storage and compute resources across on-premise and cloud environments at a massive scale.
- Implement optimal data transmission and storage solutions for all stages of Figure’s data pipeline from recording to neural network training
- Work together with AI researchers to support new kinds of data workflows
Requirements
- Strong software engineering fundamentals
- Bachelor's or Master's degree in Computer Science, Robotics, Engineering, or a related field
- Minimum of 4 years of professional, full-time experience building reliable backend systems
- Experience with Linux and command line tools
- Experience with Python
- Experience using and managing data stores (Postgres, MySQL, ElasticSearch, Redis, etc.).
Bonus Qualifications
- Experience managing cloud infrastructure (AWS, Azure, GCP)
- Experience with job scheduling / orchestration tools (SLURM, Kubernetes, LSF, etc.)
- Experience with configuration management tools (Ansible, Terraform, Puppet, Chef, etc.)
- Experience building data annotation and dataset management tools.
The US base salary range for this full-time position is between $150,000 - $350,000 annually.
The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.
Ready to apply?
Apply to Figure