Own the platform that every image from every store passes through: ingestion, Kafka streaming, Python services, GPU model inference, databases, storage, and the GCP and Kubernetes layer underneath.
Locations (2)
Poland
Portugal
Compensation
Poland B2B Annual Rate: $102,000 - $117,500 depending on experience + stock options
Portugal Salary Band: €60,000 - €72,000 depending on experience + stock options
Responsibilities
Own the design, operation and cost of Focal's production platform on GCP: Kubernetes, Kafka, MySQL, MongoDB, Redis, object storage.
Drive measurable reductions in COGS and latency, for example lowering GPU inference cost per store through machine types, batching, autoscaling or scheduling, and report the numbers.
Read, debug and change Python (FastAPI, Kafka consumers) backend services.
Fix throughput bottlenecks such as consumer lag at store opening, whether the cause is partition count, consumer throughput, a downstream database or autoscaling reaction time.
Rework metrics, alerts and dashboards so the on-call engineer can tell which stores and regions are affected when an alert fires.
An HPC Systems Engineer to administer and manage HPC clusters, storage systems, and high-speed networks, providing application support to SpaceX personnel across engineering disciplines.
The Data Infrastructure team builds and operates the platform that powers data workloads across PayPay Group. This role sits at the intersection of cloud infrastructure and data platform engineering, focusing on AWS, Terraform, and SRE practices.
Compensation
Annual salary paid in 12 installments (monthly) Based on skills, experience, and abilities Reviewed once a year Late overtime allowance
Responsibilities
Design, build, and manage AWS cloud infrastructure using Terraform, following IaC and GitOps practices
Operate and improve the Databricks Lakehouse platform — workspace provisioning, configuration management, and day-to-day reliability
Build and maintain platform services and tooling that support data engineers across PayPay Group companies
Strengthen system reliability through SRE practices: monitoring, alerting, dashboarding, and incident response
Implement and enforce data governance and security controls in line with compliance requirements
Responsible for the engineering of Cloud Infrastructure Platforms to provide robust, reliable and cost-efficient Platform so that we can deliver the best experience for our growing customers base.
Compensation
Annual salary paid in 12 installments (monthly) Based on skills, experience, and abilities Reviewed once a year Late overtime allowance
Responsibilities
Architect and build a robust, scalable and stable infrastructure
Architect and build Infrastructure that is easily maintainable during patching and upgrades without downtime
Architect and build Infrastructure with AWS regional level failure tolerance
Work together with our Security Engineers to provision a secure Infrastructure
Automations for AWS Deployments to ensure fast delivery of Cloud Services to our developers
Requirements
Bachelor’s degree and above in a Computer Science related field
Nice to have: AWS Professional or Specialty certification
Senior big data engineer to build world‑class data platforms/products at a very large scale across multiple cloud environments running on S3, Kafka, Flink, Spark, LLMs and AI/ML.
Responsibilities
Automate processes and document them for others
Provide incident resolution for all technical production issues
Create and maintain accurate, up-to-date documentation
Write justifications, training materials, status reports, and procedures
Interact with Apple staff and management
Requirements
Bachelor's in Computer Science or Computer Engineering or equivalent work related experience
Nice to have: MS in Computer Science or equivalent with 5+ years of overall industry experience
Nice to have: CI/CD practices
Nice to have: open-source software development
Nice to have: automation and engineering processes
AI Platform Engineer focused on cloud-native GenAI infrastructure and enablement. This role will build and operate the foundation that enables internal teams to deliver and operate GenAI applications, agents, RAG systems, and related AI workloads reliably, safely, and cost-effectively.
Compensation
Annual salary paid in 12 installments (monthly)
Responsibilities
Architect and build AI platform capabilities for applications, agents, RAG systems and related AI workloads
Architect and build infrastructure that is easy to maintain, update and improve
Architect and build infrastructure with appropriate reliability and recovery capabilities for internal AI platform services
Work together with our Security Engineers to provision secure and governed AI platform infrastructure
Build and maintain deployment automation to ensure fast delivery of AI platform services to our developers
Requirements
Bachelor’s degree and above in a technology related field
An opportunity for an “automation-first” senior technologist with a passion for Linux to build a career with Canonical and drive the success with those leveraging Ubuntu and open source products. The role involves driving operations automation, Gitops, designing services, and maintaining core services.
Responsibilities
Drive the development of automation, Gitops in your team as an embedded tech lead
Closely collaborate with the IS architect to align your solutions with the IS architecture vision
Design and architect services that IS can offer to the organization as products
Apply your experience of IaC to develop infrastructure as code practice within IS by constantly increasing automation and improving IaC processes
Automate software operations for re-usability and consistency across private and public clouds
Requirements
Bachelor's degree or greater, preferably in computer science or related engineering field
Lead design, architecture, and optimization of inference platform services, ensuring reliability and performance at scale.
Locations (2)
Sunnyvale, California, United States
Bellevue, Washington, United States
Compensation
The base salary range for this role is $182,000 to $242,000. The starting salary will be determined by job-related knowledge, skills, experience, and the market location. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).
Responsibilities
Lead design reviews and drive architecture within the team; decompose multi-service work into clear milestones.
Define and own SLIs/SLOs; ensure post-incident actions land and reliability improves release-over-release.
Operate, scale, and secure MongoDB clusters on a Kubernetes-based infrastructure, ensuring performance, resilience, and compliance.
Compensation
For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $128,842 - $232,200/annually, with an expected On Target Earnings (OTE) between $144,000 - $258,000/annually (including bonus or commission).
Responsibilities
Operate production MongoDB clusters running in Kubernetes across multiple regions and clouds
Monitor cluster health, performance, replication, and storage usage, and proactively address degradation
Debug and resolve availability, latency, or data consistency issues in partnership with SREs
Participate in on-call rotations as a subject matter expert for MongoDB infrastructure
Automate routine operations such as database user management, cluster scaling, version upgrades, and backup restores
Operate, scale, and secure MongoDB clusters on a Kubernetes-based infrastructure, ensuring performance, resilience, and compliance.
Compensation
For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $128,842 - $232,200/annually, with an expected On Target Earnings (OTE) between $144,000 - $258,000/annually (including bonus or commission).
Responsibilities
Operate production MongoDB clusters running in Kubernetes across multiple regions and clouds
Monitor cluster health, performance, replication, and storage usage
Debug and resolve availability, latency, or data consistency issues
Participate in on-call rotations as a subject matter expert
Automate routine operations such as database user management, cluster scaling, version upgrades, and backup restores
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