3 Kubernetes jobs in Toronto
Senior Staff Developer, Google Kubernetes Engine
Toronto, Ontario
Google
Posted 16 days ago
Job Viewed
Job Description
Senior Staff Developer, Google Kubernetes Engine
_corporate_fare_ Google _place_ Waterloo, ON, Canada; Toronto, ON, Canada; +3 more; +2 more
**Advanced**
Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
_info_outline_
XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: **Waterloo, ON, Canada; Toronto, ON, Canada; Seattle, WA, USA; Sunnyvale, CA, USA** .
**Minimum qualifications:**
+ Bachelor's degree or equivalent practical experience.
+ 8 years of experience in software development
+ 7 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
+ 7 years of experience with expertise with Kubernetes, containers, CNFC ecosystem, or observability.
**Preferred qualifications:**
+ Master's degree or PhD in Engineering, Computer Science, or a related technical field.
+ 5 years of experience in a technical leadership role leading project teams and setting technical direction.
+ 5 years of experience with Autoscaling solutions and concepts, particularly Workload.
+ 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
**About the job**
Google's software developers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for software developers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software developer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our software developers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
Kubernetes is a portable, extensible open-source platform for managing containerized workloads and services, that facilitates both declarative configuration and automation. It has a large, rapidly growing ecosystem.
Google Kubernetes Engine (GKE) is a hosted version of Kubernetes running on Google Cloud Platform providing extra layer of automation and zero devops to allow for frictionless use of K8S.
ChromeOS delivers quality computing at scale to provide universal and unfettered access to information, entertainment, and tools. Our mission is to empower anyone to create and access information freely through fast, secure, simple, and intelligent computing.
The US base salary range for this full-time position is $248,000-$349,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google ( .
**Responsibilities**
+ Apply your deep understanding of distributed systems, Kubernetes, and software optimization techniques to identify and resolve performance bottlenecks, ensuring optimal infrastructure performance.
+ Provide technical leadership and mentorship to other engineers, fostering a culture of collaboration, knowledge sharing, and continuous learning.
+ Design and implement highly scalable, reliable, and efficient infrastructure systems that underpin GKE at scale.
+ Lead strategic projects across GKE and GCP, collaborating with our largest customers to solve their most complex technical challenges.
+ Stay at the forefront of Kubernetes ecosystem developments and identify opportunities to integrate cutting-edge technologies and approaches into the GKE infrastructure stack.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy ( ,Know your rights: workplace discrimination is illegal ( ,Belonging at Google ( , andHow we hire ( .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form ( .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:
_corporate_fare_ Google _place_ Waterloo, ON, Canada; Toronto, ON, Canada; +3 more; +2 more
**Advanced**
Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
_info_outline_
XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: **Waterloo, ON, Canada; Toronto, ON, Canada; Seattle, WA, USA; Sunnyvale, CA, USA** .
**Minimum qualifications:**
+ Bachelor's degree or equivalent practical experience.
+ 8 years of experience in software development
+ 7 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
+ 7 years of experience with expertise with Kubernetes, containers, CNFC ecosystem, or observability.
**Preferred qualifications:**
+ Master's degree or PhD in Engineering, Computer Science, or a related technical field.
+ 5 years of experience in a technical leadership role leading project teams and setting technical direction.
+ 5 years of experience with Autoscaling solutions and concepts, particularly Workload.
+ 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
**About the job**
Google's software developers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for software developers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software developer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our software developers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
Kubernetes is a portable, extensible open-source platform for managing containerized workloads and services, that facilitates both declarative configuration and automation. It has a large, rapidly growing ecosystem.
Google Kubernetes Engine (GKE) is a hosted version of Kubernetes running on Google Cloud Platform providing extra layer of automation and zero devops to allow for frictionless use of K8S.
ChromeOS delivers quality computing at scale to provide universal and unfettered access to information, entertainment, and tools. Our mission is to empower anyone to create and access information freely through fast, secure, simple, and intelligent computing.
The US base salary range for this full-time position is $248,000-$349,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google ( .
**Responsibilities**
+ Apply your deep understanding of distributed systems, Kubernetes, and software optimization techniques to identify and resolve performance bottlenecks, ensuring optimal infrastructure performance.
+ Provide technical leadership and mentorship to other engineers, fostering a culture of collaboration, knowledge sharing, and continuous learning.
+ Design and implement highly scalable, reliable, and efficient infrastructure systems that underpin GKE at scale.
+ Lead strategic projects across GKE and GCP, collaborating with our largest customers to solve their most complex technical challenges.
+ Stay at the forefront of Kubernetes ecosystem developments and identify opportunities to integrate cutting-edge technologies and approaches into the GKE infrastructure stack.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy ( ,Know your rights: workplace discrimination is illegal ( ,Belonging at Google ( , andHow we hire ( .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form ( .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:
This advertiser has chosen not to accept applicants from your region.
0
Gen AI Engineer - Kubernetes, Kafka, ML,Dynatrace
Toronto, Ontario
Astra North Infoteck Inc.
Posted 15 days ago
Job Viewed
Job Description
Skills Required: • Kafka• Kubernetes• DynatraceJob Description: • Product Roadmap Modular Design• Define the product vision and roadmap for reusable Gen AI modules (e.g., RAG, prompting frameworks, hybrid MLLLM systems).• Architect parameterized, business-agnostic solutions that abstract complexity (e.g., pre-configured prompts, vector DB connectors, chunking logic)• Design APIs and microservices to expose modules as reusable components (e.g., text-to-SQL service, RAG-as-a-service).• Technical Leadership• Standardize patterns (e.g., prompt templates, chunking strategies, few-shot training pipelines) across use cases• Integrate LLM workflows (e.g., OpenAI, Claude) with traditional ML (clustering, classification) and enterprise systems (databases, UI tools).• Optimize performance of Gen AI components (cost, latency, accuracy) and ensure scalability (e.g., load balancing for vector DBs).• Adoption Enablement• Develop documentation, tutorials, and sandbox environments for testing modules.• Train teams on best practices (e.g., prompt engineering, security for LLM outputs)• Track metrics: Module reuse rate, contribution volume, time-to-deploy for new use cases.Technical Expertise • Gen AI/ML Engineering• Hands-on experience with LLM integration (e.g., OpenAI, Anthropic, Llama 2) and frameworks (Lang Chain, Llama Index).• Expertise in RAG workflows: Document chunking (sentence transformers), vector DBs (Pinecone, FAISS), and hybrid search• Familiarity with text-to-SQL systems, few-shot chain-of-thought prompting, and traditional ML (clustering with scikit-learn, Porch).• Software Engineering• Proficiency in Python, API design (Fast API, Flask), and cloud platforms (AWS Sage maker, Azure AI).• Experience with CICD, containerization (Docker), and infrastructure-as-code (Terraform).• UI Integration Skills• Frontend integration (React Streamlet for config UIs) and middleware (message queues, auth systems like R2D2).• Product Strategy• Proven track record of building reusable MLAPI products or internal platforms.• Product Roadmap Modular Design• Define the product vision and roadmap for reusable Gen AI modules (e.g., RAG, prompting frameworks, hybrid MLLLM systems).• Architect parameterized, business-agnostic solutions that abstract complexity (e.g., pre-configured prompts, vector DB connectors, chunking logic)• Design APIs and microservices to expose modules as reusable components (e.g., text-to-SQL service, RAG-as-a-service).• Technical Leadership• Standardize patterns (e.g., prompt templates, chunking strategies, few-shot training pipelines) across use cases• Integrate LLM workflows (e.g., OpenAI, Claude) with traditional ML (clustering, classification) and enterprise systems (databases, UI tools).• Optimize performance of Gen AI components (cost, latency, accuracy) and ensure scalability (e.g., load balancing for vector DBs).• Adoption Enablement• Develop documentation, tutorials, and sandbox environments for testing modules.• Train teams on best practices (e.g., prompt engineering, security for LLM outputs)• Track metrics: Module reuse rate, contribution volume, time-to-deploy for new use cases.Required Skills ExperienceTechnical Expertise• Gen AI/ML Engineering• Hands-on experience with LLM integration (e.g., OpenAI, Anthropic, Llama 2) and frameworks (Lang Chain, Llama Index).• Expertise in RAG workflows: Document chunking (sentence transformers), vector DBs (Pinecone, FAISS), and hybrid search• Familiarity with text-to-SQL systems, few-shot chain-of-thought prompting, and traditional ML (clustering with scikit-learn, Porch).• Software Engineering• Proficiency in Python, API design (Fast API, Flask), and cloud platforms (AWS Sage maker, Azure AI).• Experience with CICD, containerization (Docker), and infrastructure-as-code (Terraform).• UI Integration Skills• Frontend integration (React Streamlet for config UIs) and middleware (message queues, auth systems like R2D2).• Product Strategy• Proven track record of building reusable MLAPI products or internal platforms.• 8+ years of strong design, development experience using C#, .NET Core, Web API, Angular/React, ASP.NET, MVC• 3+ years of strong development experience using SQL Server/Oracle/Sybase, complex procedures and SSIS/Resourcing experience in financial domain• Experience working with DevOps, source code management tools like Git, SVN, Jira, CI/CD, Jenkins• Experience working with Agile/Scrum/RAD development methodology• Nice to have: container-based technologies like Docker, Kubernetes, OpenShift, cloud platform and familiar with big-data and cloud-based technologies• Nice to have: experience in setting application in Linux/Windows, IIS/Nginx• Nice to have: working experience with APAC Regulatory Reporting• Strong technical analytical skills to solve complex problems• Strategic thinker with excellent interpersonal skills to work across functions and businesses"
This advertiser has chosen not to accept applicants from your region.
1
Staff Infrastructure Network Engineer - Kubernetes, Cloud & Service Mesh

Toronto, Ontario
Lyft
Posted 18 days ago
Job Viewed
Job Description
**_Applications for this position will be accepted until October 14, 2025. Lyft reserves the right to close the application process early or extend the deadline at its discretion_** .
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
Lyft's Infrastructure teams are responsible for building the foundational systems that engineers rely on in order to build stable, scalable, and efficient services. We build standardized infrastructure that helps software developers move fast, while still providing them with the flexibility they need to innovate within their teams. We are looking for experienced leaders to guide these teams as they create an exceptional development experience for all of Lyft. These are high leverage roles, as your work will have a multiplicative effect across Engineering, and contribute directly to Lyft's overall stability.
We're looking for a Staff Infrastructure Network Engineer to join our Infrastructure team and play a pivotal role in designing, scaling, and evolving the systems that power Lyft's entire engineering platform.
As a staff-level engineer, you'll be a technical leader. You'll set direction, solve deeply complex infrastructure challenges, and deliver solutions that are reliable, scalable, and secure. This role is ideal for someone who thrives on impact, collaboration, and working at scale.
You'll partner with teams across Lyft to ensure our foundational network infrastructure supports high performance, reliability, and developer velocity.
**Responsibilities** **:**
+ Design, implement, and maintain Lyft'sservice mesh and edge routingusingEnvoy ProxyandKubernetes on AWS, ensuring secure and reliable service-to-service communication
+ Scale and operate Lyft'sKubernetes networking stack, includingIngress controllers, CNI plugins, andservice discovery, to support high-availability microservices
+ Develop and optimizeload balancing algorithms and traffic policiesacrosscontrol and data planesto improve latency, resiliency, and cost efficiency
+ Build and maintainobservability infrastructure(e.g.,Prometheus, OpenTelemetry, Grafana, Datadog) to enable real-time visibility and incident response
+ Lead incident investigation and resolution forproduction network issues, debugging across layers includingKubernetes, VPC networking, service mesh, andL4/L7 traffic flow
**Experience** **:**
+ Bachelor's degreein Computer Science, Engineering, or a related technical field, or equivalent practical experience
+ 8+ years of hands-on experienceoperatingKubernetes in productionand working incloud environmentssuch asAWSorGCP
+ Proficient inInfrastructure as Code (IaC)using tools likeTerraform, and experienced in automating deployments in large-scale environments
+ Strong background inLinux systems, networking, DNS, load balancing, and protocols such asHTTP, HTTPS, and gRPC
+ Proven experience designing or operatingdistributed network management systems, includingservice mesh or service proxies(e.g.,Envoy, Istio, NGINX, Cilium)
+ Deep understanding ofAWS networking concepts, includingVPCs, subnets, NAT gateways, NLBs, andsecurity groups
+ Demonstrated ability todebug complex, multi-layer infrastructure issuesand leadincident responseacross highly available, large-scale systems
**Benefits:**
+ Extended health and dental coverage options, along with life insurance and disability benefits
+ Mental health benefits
+ Family building benefits
+ Child care and pet benefits
+ Access to a Lyft funded Health Care Savings Account
+ RRSP plan to help save for your future
+ In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service
+ Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
+ Subsidized commuter benefits
Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.
Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule - Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid
The expected base pay range for this position in the Toronto area is CAD $172,000 - CAD $215,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
Lyft's Infrastructure teams are responsible for building the foundational systems that engineers rely on in order to build stable, scalable, and efficient services. We build standardized infrastructure that helps software developers move fast, while still providing them with the flexibility they need to innovate within their teams. We are looking for experienced leaders to guide these teams as they create an exceptional development experience for all of Lyft. These are high leverage roles, as your work will have a multiplicative effect across Engineering, and contribute directly to Lyft's overall stability.
We're looking for a Staff Infrastructure Network Engineer to join our Infrastructure team and play a pivotal role in designing, scaling, and evolving the systems that power Lyft's entire engineering platform.
As a staff-level engineer, you'll be a technical leader. You'll set direction, solve deeply complex infrastructure challenges, and deliver solutions that are reliable, scalable, and secure. This role is ideal for someone who thrives on impact, collaboration, and working at scale.
You'll partner with teams across Lyft to ensure our foundational network infrastructure supports high performance, reliability, and developer velocity.
**Responsibilities** **:**
+ Design, implement, and maintain Lyft'sservice mesh and edge routingusingEnvoy ProxyandKubernetes on AWS, ensuring secure and reliable service-to-service communication
+ Scale and operate Lyft'sKubernetes networking stack, includingIngress controllers, CNI plugins, andservice discovery, to support high-availability microservices
+ Develop and optimizeload balancing algorithms and traffic policiesacrosscontrol and data planesto improve latency, resiliency, and cost efficiency
+ Build and maintainobservability infrastructure(e.g.,Prometheus, OpenTelemetry, Grafana, Datadog) to enable real-time visibility and incident response
+ Lead incident investigation and resolution forproduction network issues, debugging across layers includingKubernetes, VPC networking, service mesh, andL4/L7 traffic flow
**Experience** **:**
+ Bachelor's degreein Computer Science, Engineering, or a related technical field, or equivalent practical experience
+ 8+ years of hands-on experienceoperatingKubernetes in productionand working incloud environmentssuch asAWSorGCP
+ Proficient inInfrastructure as Code (IaC)using tools likeTerraform, and experienced in automating deployments in large-scale environments
+ Strong background inLinux systems, networking, DNS, load balancing, and protocols such asHTTP, HTTPS, and gRPC
+ Proven experience designing or operatingdistributed network management systems, includingservice mesh or service proxies(e.g.,Envoy, Istio, NGINX, Cilium)
+ Deep understanding ofAWS networking concepts, includingVPCs, subnets, NAT gateways, NLBs, andsecurity groups
+ Demonstrated ability todebug complex, multi-layer infrastructure issuesand leadincident responseacross highly available, large-scale systems
**Benefits:**
+ Extended health and dental coverage options, along with life insurance and disability benefits
+ Mental health benefits
+ Family building benefits
+ Child care and pet benefits
+ Access to a Lyft funded Health Care Savings Account
+ RRSP plan to help save for your future
+ In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service
+ Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
+ Subsidized commuter benefits
Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.
Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule - Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid
The expected base pay range for this position in the Toronto area is CAD $172,000 - CAD $215,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
This advertiser has chosen not to accept applicants from your region.
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