Jobs at Caylent
397,073 open positions
Machine Learning Architect
Company: Caylent
Location: Remote
Posted Aug 08, 2023
We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at [email protected]. So, regardless of how your diversity expresses itself, you can find a home here at Caylent. We are proud to be an equal opportunity employer. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. Your AssignmentWork with a team to deliver machine learning solutions on AWS for customersDecompose business goals into architecture and Sprint-level tasksHaving had thorough hands on experience, lead engineers in building solutionsParticipate in daily standup meetings and address technical issuesDesign and document ML models, MLOps, and analyticsBig data processing and preparation of training data for modelsYour QualificationsAt least 5 years of hands on experience in most of these ML tools/techniques:Build ML models in SageMakerBuild ML models in frameworks like Tensorflow & PyTorch and deploy in SageMakerTrain and deploy AWS pre-trained AI Services and Foundational ModelsBuild and optimize models using feature definition, activation functions, hyperparameter tuning and other techniquesIntegrate ML models into real-time applications and batch workflows, recommend better infrastructure design and optimizationMonitor, evaluate and continuously improve model performance, as well as automate these tasks using one or more tools for MLOpsHands on experience in these data engineering tools/techniques:Data integration, cleansing, transformation, and visualization using Python packages, SQL etc.AWS services such as Glue, EMR, Athena, DynamoDB, StepFunctions, EKS etcExperience with an IaC tool such as CloudFormation, CDK or TerraformExcellent written and verbal communication skillsBenefits 100% remote workPrivate Health InsuranceGenerous holidays and flexible PTOCompetitive phantom equityPaid for exams and certificationsPeer bonus awardsState of the art laptop and toolsEquipment & Office StipendIndividual professional development planAnnual stipend for Learning and DevelopmentWork with an amazing worldwide team and in an incredible corporate cultureCaylent is a place where everyone belongs. We celebrate diversity and are committed to creating an inclusive environment for all employees. We provide a full-range of AWS services including: workload migrations & modernization, cloud native application development, DevOps, data engineering, security & compliance and everything in between. At Caylent, our people always come first. We are a fully remote global company with employees in Canada, the United States and Latin America. Come talk to us to learn more about what it means to be a Caylien!The MissionAt Caylent, a Machine Learning Architect works as an integral part of a cross-functional delivery team to design and document machine learning solutions on the AWS cloud for our customers. We are looking for someone that has a strong understanding of the various model types and tools, and can help our customers connect their business goals with the details of feature design, model training and inference. You will also have a weekly 1:1 with your manager to help guide you in your career and make the most of your time at Caylent. We celebrate the culture of each of our team members and foster a community of technological curiosity.
Machine Learning Engineer
Company: Caylent
Location: Remote
Posted Aug 08, 2023
We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. Additionally, you are eligible for the benefits, bonuses, and incentives as listed above in the job description!Caylent is a place where everyone belongs. So, regardless of how your diversity expresses itself, you can find a home here at Caylent.We are proud to be an equal opportunity employer. If you would like to request an accommodation due to a disability, please contact us at [email protected]. If you are hired at Caylent, your base salary is determined on factors such as skills, experience, geographic location, and other market conditions.&8239;While it's not typical for offers to be made at the top of the range, please keep in mind that the base salary range is only one component of your overall compensation. Your Assignments Work with a team to deliver machine learning solutions on AWS for customersParticipate in and contribute to daily standup meetingsDevelop and implement ML models, MLOps, and analyticsBig data processing and preparation of training data for models Your QualificationsAt least 3 years of hands on experience in at least a few of these ML tools/techniques:Build ML models in SageMakerBuild ML models in frameworks like Tensorflow & PyTorch and deploy in SageMakerTrain and deploy AWS pre-trained AI Services and Foundational ModelsBuild and optimize models using feature definition, activation functions, hyperparameter tuning and other techniquesIntegrate ML models into real-time applications and batch workflows, recommend better infrastructure design and optimizationMonitor, evaluate and continuously improve model performance, as well as automate these tasks using one or more tools for MLOpsHands on experience in these data engineering tools/techniques:Data integration, cleansing, transformation, and visualization using Python packages, SQL etc.AWS services such as Glue, EMR, Athena, DynamoDB, StepFunctions, EKS etc.Experience with an IaC tool such as CloudFormation, CDK or TerraformExcellent written and verbal communication skillsBenefits 100% remote workEquitable Life - Hybrid Plan100% Premium Coverage for the employee and dependentsCompetitive phantom equityLong-Term Disability4% Pension match (employer contribution)Unlimited VacationsSick LeavePaid HolidaysParental LeavePaid for exams and certificationsPeer bonus awardsState of the art laptop and toolsEquipment & Office StipendIndividual professional development planAnnual stipend for Learning and DevelopmentWork with an amazing worldwide team and in an incredible corporate cultureThe base salary range for this position is CAD 103,500 - CAD 135,000. We provide a full-range of AWS services including: workload migrations & modernization, cloud native application development, DevOps, data engineering, security & compliance and everything in between. At Caylent, our people always come first. We are a fully remote global company with employees in Canada, the United States and Latin America.
Machine Learning Architect
Company: Caylent
Location: Remote
Posted Aug 08, 2023
We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at [email protected]. So, regardless of how your diversity expresses itself, you can find a home here at Caylent. We are proud to be an equal opportunity employer. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. Your AssignmentWork with a team to deliver machine learning solutions on AWS for customersDecompose business goals into architecture and Sprint-level tasksHaving had thorough hands on experience, lead engineers in building solutionsParticipate in daily standup meetings and address technical issuesDesign and document ML models, MLOps, and analyticsBig data processing and preparation of training data for modelsYour QualificationsAt least 5 years of hands on experience in most of these ML tools/techniques:Build ML models in SageMakerBuild ML models in frameworks like Tensorflow & PyTorch and deploy in SageMakerTrain and deploy AWS pre-trained AI Services and Foundational ModelsBuild and optimize models using feature definition, activation functions, hyperparameter tuning and other techniquesIntegrate ML models into real-time applications and batch workflows, recommend better infrastructure design and optimizationMonitor, evaluate and continuously improve model performance, as well as automate these tasks using one or more tools for MLOpsHands on experience in these data engineering tools/techniques:Data integration, cleansing, transformation, and visualization using Python packages, SQL etc.AWS services such as Glue, EMR, Athena, DynamoDB, StepFunctions, EKS etcExperience with an IaC tool such as CloudFormation, CDK or TerraformExcellent written and verbal communication skillsBenefits Pay in USD100% remote workGenerous holidays and flexible PTOCompetitive phantom equityPaid for exams and certificationsPeer bonus awardsState of the art laptop and toolsEquipment & Office StipendIndividual professional development planAnnual stipend for Learning and DevelopmentWork with an amazing worldwide team and in an incredible corporate cultureCaylent is a place where everyone belongs. We celebrate diversity and are committed to creating an inclusive environment for all employees. We provide a full-range of AWS services including: workload migrations & modernization, cloud native application development, DevOps, data engineering, security & compliance and everything in between. At Caylent, our people always come first. We are a fully remote global company with employees in Canada, the United States and Latin America. Come talk to us to learn more about what it means to be a Caylien!The MissionAt Caylent, a Machine Learning Architect works as an integral part of a cross-functional delivery team to design and document machine learning solutions on the AWS cloud for our customers. We are looking for someone that has a strong understanding of the various model types and tools, and can help our customers connect their business goals with the details of feature design, model training and inference. You will also have a weekly 1:1 with your manager to help guide you in your career and make the most of your time at Caylent. We celebrate the culture of each of our team members and foster a community of technological curiosity.
Machine Learning Architect
Company: Caylent
Location: Remote
Posted Aug 08, 2023
We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. So, regardless of how your diversity expresses itself, you can find a home here at Caylent. We are proud to be an equal opportunity employer. If you would like to request an accommodation due to a disability, please contact us at [email protected]. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. If you are hired at Caylent, your base salary is determined on factors such as skills, experience, geographic location, and other market conditions.&8239;While it's not typical for offers to be made at the top of the range, please keep in mind that the base salary range is only one component of your overall compensation. Additionally, you are eligible for the benefits, bonuses, and incentives as listed above in the job description!NOTE: We are unable to provide sponsorship for this position.Caylent is a place where everyone belongs. We celebrate diversity and are committed to creating an inclusive environment for all employees. Your AssignmentWork with a team to deliver machine learning solutions on AWS for customersDecompose business goals into architecture and Sprint-level tasksHaving had thorough hands on experience, lead engineers in building solutionsParticipate in daily standup meetings and address technical issuesDesign and document ML models, MLOps, and analyticsBig data processing and preparation of training data for modelsYour QualificationsAt least 5 years of hands on experience in most of these ML tools/techniques:Build ML models in SageMakerBuild ML models in frameworks like Tensorflow & PyTorch and deploy in SageMakerTrain and deploy AWS pre-trained AI Services and Foundational ModelsBuild and optimize models using feature definition, activation functions, hyperparameter tuning and other techniquesIntegrate ML models into real-time applications and batch workflows, recommend better infrastructure design and optimizationMonitor, evaluate and continuously improve model performance, as well as automate these tasks using one or more tools for MLOpsHands on experience in these data engineering tools/techniques:Data integration, cleansing, transformation, and visualization using Python packages, SQL etc.AWS services such as Glue, EMR, Athena, DynamoDB, StepFunctions, EKS etcExperience with an IaC tool such as CloudFormation, CDK or TerraformExcellent written and verbal communication skillsBenefits Medical Insurance for you and eligible dependents 401k plan with company match up to 4% and immediate vestingCompetitive phantom equityCompany issued laptopDental and Vision insuranceTerm Disability InsuranceTerm Life InsuranceFlexible Spending AccountEquipment & Office StipendAnnual stipend for Learning and DevelopmentUnlimited Paid Time Off10 Paid HolidaysThe base salary range for this position is $130,000 - $160,000. At Caylent, our people always come first. We are a fully remote global company with employees in Canada, the United States and Latin America. We provide a full-range of AWS services including: workload migrations & modernization, cloud native application development, DevOps, data engineering, security & compliance and everything in between.
Machine Learning Architect
Company: Caylent
Location: Remote
Posted Aug 08, 2023
We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at [email protected]. So, regardless of how your diversity expresses itself, you can find a home here at Caylent. We are proud to be an equal opportunity employer. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. Additionally, you are eligible for the benefits, bonuses, and incentives as listed above in the job description!Caylent is a place where everyone belongs. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you are hired at Caylent, your base salary is determined on factors such as skills, experience, geographic location, and other market conditions.&8239;While it's not typical for offers to be made at the top of the range, please keep in mind that the base salary range is only one component of your overall compensation. Your AssignmentWork with a team to deliver machine learning solutions on AWS for customersDecompose business goals into architecture and Sprint-level tasksHaving had thorough hands on experience, lead engineers in building solutionsParticipate in daily standup meetings and address technical issuesDesign and document ML models, MLOps, and analyticsBig data processing and preparation of training data for modelsYour QualificationsAt least 5 years of hands on experience in most of these ML tools/techniques:Build ML models in SageMakerBuild ML models in frameworks like Tensorflow & PyTorch and deploy in SageMakerTrain and deploy AWS pre-trained AI Services and Foundational ModelsBuild and optimize models using feature definition, activation functions, hyperparameter tuning and other techniquesIntegrate ML models into real-time applications and batch workflows, recommend better infrastructure design and optimizationMonitor, evaluate and continuously improve model performance, as well as automate these tasks using one or more tools for MLOpsHands on experience in these data engineering tools/techniques:Data integration, cleansing, transformation, and visualization using Python packages, SQL etc.AWS services such as Glue, EMR, Athena, DynamoDB, StepFunctions, EKS etcExperience with an IaC tool such as CloudFormation, CDK or TerraformExcellent written and verbal communication skillsBenefits 100% remote workEquitable Life - Hybrid Plan100% Premium Coverage for the employee and dependentsCompetitive phantom equityLong-Term Disability4% Pension match (employer contribution)Unlimited VacationsSick Leave Paid Holidays Parental LeavePaid for exams and certificationsPeer bonus awardsState of the art laptop and toolsEquipment & Office StipendIndividual professional development planAnnual stipend for Learning and DevelopmentWork with an amazing worldwide team and in an incredible corporate cultureThe base salary range for this position is CAD 135,000 - CAD 166,500. At Caylent, our people always come first. We are a fully remote global company with employees in Canada, the United States and Latin America. We provide a full-range of AWS services including: workload migrations & modernization, cloud native application development, DevOps, data engineering, security & compliance and everything in between. Come talk to us to learn more about what it means to be a Caylien!The MissionAt Caylent, a Machine Learning Architect works as an integral part of a cross-functional delivery team to design and document machine learning solutions on the AWS cloud for our customers. We are looking for someone that has a strong understanding of the various model types and tools, and can help our customers connect their business goals with the details of feature design, model training and inference.
Customer Solutions Architect
Company: Caylent
Location: Remote
Posted Aug 13, 2023
Caylent is a cloud native services company that helps organizations bring the best out of their people and technology using Amazon Web Services (AWS). They offer a full range of AWS services including: workload migrations & modernization, cloud native application development, DevOps, data engineering, security & compliance and more. As a fully remote global company, they celebrate the culture of each team member and foster a community of technological curiosity. They are seeking a Customer Solutions Architect with broad and deep AWS expertise to partner with their sales team.
Principal Consultant
Company: Caylent
Location: Remote
Posted Aug 12, 2023
We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. So, regardless of how your diversity expresses itself, you can find a home here at Caylent. We are proud to be an equal opportunity employer. If you would like to request an accommodation due to a disability, please contact us at [email protected]. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. You’ll work with the latest technologies and with disruptive customers looking to bring innovative ideas to the market. Your AssignmentDeliver Client’s Strategic VisionYou will consult with clients on immediate needs AND long-term opportunities, and then brings those ideas to life with proactive strategic ideation, roadmap planning, scoping of new opportunities, and driving client value realization Own the Client RelationshipYou will act as a key client advocate, steering both the internal caylent team, and client team towards best practices and the client vision, in the process growing the client account and elevating the partnership between Caylent and our clientDrive Account GrowthAs our Delivery owner of the client relationship and value realization, the PC focuses on net new client opportunities to help drive best practices and maturity around cloud transformation and which help our clients achieve their long-term visionKPIs:Target billable utilization of 50%Account growth target of 20% net new bookings per year on strategic accounts Your QualificationsDeep consulting experience delivering professional services engagements, particularly in the area of cloud and digital transformationTrack record of building key client relationships and securing repeat businessTrack record of delivering large, complex projects for Enterprise clientele Demonstrated expertise of public cloud infrastructure and services, preferably AWS Great understanding of Agile project deliveryGreat verbal and written communication skillsEnthusiasm for working in a startup environment and the ability to work with cross-functional departments Possess a natural curiosity and excitement for learning new technologyAbility to travel as needed to support project kickoffs and key client milestones Preferred QualificationsAWS, Kubernetes, Agile or HashiCorp Certifications Knowledge of Security Best Practices, Cloud Economics, Serverless technologies, container-based architecture, Software development frameworks, and cloud cost control/optimizationExperience working in AWS consulting with Fortune 2000 clientsBenefits Medical Insurance for you and eligible dependents 401k plan with company match up to 4% and immediate vestingCompetitive phantom equityCompany issued laptopDental and Vision insuranceTerm Disability InsuranceTerm Life InsuranceFlexible Spending AccountEquipment & Office StipendAnnual stipend for Learning and DevelopmentUnlimited Paid Time Off10 Paid HolidaysThe base salary range for this position is $160,000 - $190,000. If you are hired at Caylent, your base salary is determined on factors such as skills, experience, geographic location, and other market conditions.&8239;While it's not typical for offers to be made at the top of the range, please keep in mind that the base salary range is only one component of your overall compensation. Additionally, you are eligible for the benefits, bonuses, and incentives as listed above in the job description!NOTE: We are unable to provide sponsorship for this position.Caylent is a place where everyone belongs. We celebrate diversity and are committed to creating an inclusive environment for all employees. At Caylent, our people always come first. We are a fully remote global company with employees in Canada, the United States and Latin America. We provide a full-range of AWS services including: workload migrations & modernization, cloud native application development, DevOps, data engineering, security & compliance and everything in between.
Account Executive
Company: Caylent
Location: Other US Location
Posted Aug 05, 2023
We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at [email protected]. So, regardless of how your diversity expresses itself, you can find a home here at Caylent. We are proud to be an equal opportunity employer. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. If you are hired at Caylent, your On Target Earnings (OTE) is determined on factors such as skills, experience, geographic location, and other market conditions.&8239;While it's not typical for offers to be made at the top of the range, please keep in mind that the On Target Earnings (OTE) is only one component of your overall compensation. Additionally, you are eligible for the benefits, bonuses, and incentives as listed above in the job description!NOTE: We are unable to provide sponsorship for this position.Caylent is a place where everyone belongs. We celebrate diversity and are committed to creating an inclusive environment for all employees. Come talk to us to learn more about what it means to be a Caylien!ResponsibilitiesCommunicate via cold calls/emails/social media/in-person meetings with SME prospectsDesign, build, and test new outreach and nurture campaignsCoordinate closely with content, marketing, and lead generation providersDrive revenue by winning new services business and/or expand existing engagementsAttend cloud workshops and training to boost specific skills and possible certifications around cloud, Kubernetes, and DevOpsEngage with AWS, and other partners at the tactical and strategic levelRequirements3+ years of B2B sales experience selling managed cloud services and/or DevOps consultingExperience selling AWS, and related services is highly desiredGreat verbal communication and presentation skillsCraft proposals, SOWs, negotiate contracts, deliverables and priceEnthusiasm to work in a startup environment and ability to be cross-functionalPossess natural curiosity and excitement to learn new technology, sell and success as an individual and as a teamProven track record of sourcing and closing $250K+ ARR deals successfullyAbility to travel 10-25% of the timeTechnical Background in DevOps or Cloud is preferredBachelor&700;s Degree is preferred BenefitsMedical Insurance for you and eligible dependents 401k plan with company match up to 4% and immediate vestingCompetitive phantom equityCompany issued laptopDental and Vision insuranceTerm Disability InsuranceTerm Life InsuranceFlexible Spending AccountEquipment & Office StipendAnnual stipend for Learning and DevelopmentUnlimited Paid Time Off, following a 90-day probationary period10 Paid HolidaysThe On Target Earnings (OTE) for this position is $250,000 - $450,000. We provide a full-range of AWS services including: workload migrations & modernization, cloud native application development, DevOps, data engineering, security & compliance and everything in between. At Caylent, our people always come first. We are a fully remote global company with employees in Canada, the United States and Latin America. We celebrate the culture of each of our team members and foster a community of technological curiosity.
Senior Data Engineer
Company: Caylent
Location: Remote
Posted Aug 11, 2023
We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. So, regardless of how your diversity expresses itself, you can find a home here at Caylent. We are proud to be an equal opportunity employer. If you would like to request an accommodation due to a disability, please contact us at [email protected] Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. Come talk to us to learn more about what it means to be a Caylien!The MissionAt Caylent, a Senior Data Engineer works as an integral part of a cross-functional delivery team to implement data management solutions on the AWS cloud for our customers. You will work in a hands-on capacity to define RDS data sources, develop ETL jobs and manage data warehouses. You will participate in daily standup meetings with your team and bi-weekly agile ceremonies with the customer. Your manager will have a weekly 1:1 with you to help guide you in your career and make the most of your time at Caylent. Your Assignment Work with a team to deliver top-quality data solutions on AWS for customersParticipate in and contribute to daily standup meetingsDevelop ETL and analytics solutions around relational databasesImplement security, access controls and governance on cloud Your QualificationsDevelop and implement at least two of these:ETL, Orchestration and CI/CD pipelinesSQL, Stored procedures and Query optimizationAnalytics and visualizationMDM and Data GovernanceDesign and implementation of at least one of these on AWS:High Availability (HA) solutions, read/write replicas and optimizationRDS and Aurora performance tuningLarge scale application migration and modernization with a heavy focus on DBSecurity, access controls and governance on cloudExcellent understanding of Data Warehouses, RDBMSs like Redshift, Snowflake, Postgres, MySQLExperience with IaC tools such as CloudFormation, CDK, Terraform, and CI/CD toolsExperience with AWS Glue, Lambda, SDKExcellent written and verbal communication skills Benefits Pay in USD100% remote workGenerous holidays and flexible PTOPaid for exams and certificationsPeer bonus awardsState of the art laptop and toolsEquipment & Office StipendIndividual professional development planAnnual stipend for Learning and DevelopmentWork with an amazing worldwide team and in an incredible corporate cultureCaylent is a place where everyone belongs. We celebrate diversity and are committed to creating an inclusive environment for all employees. At Caylent, our people always come first. We are a fully remote global company with employees in Canada, the United States and Latin America. We provide a full-range of AWS services including: workload migrations & modernization, cloud native application development, DevOps, data engineering, security & compliance and everything in between. We celebrate the culture of each of our team members and foster a community of technological curiosity. Caylent is a cloud native services company that helps organizations bring the best out of their people and technology using Amazon Web Services (AWS).
Director of Cloud Architecture and Engineering
Company: Caylent
Location: Remote
Posted Aug 11, 2023
We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. So, regardless of how your diversity expresses itself, you can find a home here at Caylent. We are proud to be an equal opportunity employer. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. If you would like to request an accommodation due to a disability, please contact us at [email protected]. Your mission will be to work alongside other Directors and develop a team of Engineering Managers, Architects, and Engineers. You’ll work with the latest technologies and with disruptive customers looking to bring innovative ideas to the market. Your AssignmentAct as a country leader supporting Mexico and maintaining a strong network within the communityManage a team of up to six (6) Engineering Managers who in turn manage a team of up to six (6) Architects and Engineers Perform technical interviews for Engineering Manager, Architect, and Engineer candidatesManage the staffing process and business metrics for your teamWork with our pre-sales team to shape and define implementation proposals Provide strategic guidance to Engineering Managers on engagementsRepresent your direct reports during bi-annual review sessionsPerform regular 1:1s with your direct reports and guide their career developmentDevelop and improve operational practices and proceduresYour QualificationsExperience managing a team of up to 6 direct reports and 30+ indirect reportsExperience working with AWSPrevious experience managing and mentoring a technical team Excellent verbal and written communication skillsEnthusiasm for working in a startup environment and the ability to be cross-functionalPossess a natural curiosity and excitement for learning new technologyYou embody and cultivate the Caylent ‘s valuesPreferred QualificationsExperience in a some of the following:MigrationsCICDIaC (Terraform, Cloudformation, AWS CDK, Pulumi, etc)ScriptingContainers (Kubernetes, Docker, ECS, Fargate, etc)Cloud Security Best Practices NetworkingIncident, release, problem and change management processesExperience working in a client-facing environmentExperience working on agile projects Consultancy/advisory experience Benefits100% remote workPrivate Health InsuranceGenerous holidays and flexible PTOCompetitive phantom equityPaid for exams and certificationsPeer bonus awardsState of the art laptop and toolsEquipment & Office StipendIndividual professional development planAnnual stipend for Learning and DevelopmentWork with an amazing worldwide team and in an incredible corporate cultureCaylent is a place where everyone belongs. We celebrate diversity and are committed to creating an inclusive environment for all employees. At Caylent, our people always come first. We are a fully remote global company with employees in Canada, the United States and Latin America. We provide a full-range of AWS services including: workload migrations & modernization, cloud native application development, DevOps, data engineering, security & compliance and everything in between. Caylent is rapidly growing our service delivery capabilities in Mexico supporting our US & Canada customer base and this role will be an integral part of leading the region and developing strong technical talent.
Big Data Engineer
Company: Caylent
Location: Remote
Posted Aug 09, 2023
We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. Redis, MemcacheSearch: eg. Hadoop, Spark, EMRStreaming/Messaging: eg. Kafka, RabbitMQ, KinesisNoSQL DBs like KeyValue stores, Document Databases, Graph DatabasesCaching: eg. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at Caylent. We are proud to be an equal opportunity employer. If you would like to request an accommodation due to a disability, please contact us at [email protected]. If you are hired at Caylent, your base salary is determined on factors such as skills, experience, geographic location, and other market conditions.&8239;While it's not typical for offers to be made at the top of the range, please keep in mind that the base salary range is only one component of your overall compensation. Additionally, you are eligible for the benefits, bonuses, and incentives as listed above in the job description!NOTE: We are unable to provide sponsorship for this position.Caylent is a place where everyone belongs. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Senior Big Data Engineer
Company: Caylent
Location: Remote
Posted Aug 19, 2023
We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. Redis, MemcacheSearch: eg. Hadoop, Spark, EMRStreaming/Messaging: eg. Kafka, RabbitMQ, KinesisNoSQL DBs like KeyValue stores, Document Databases, Graph DatabasesCaching: eg. So, regardless of how your diversity expresses itself, you can find a home here at Caylent. We are proud to be an equal opportunity employer. If you would like to request an accommodation due to a disability, please contact us at [email protected]. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. Additionally, you are eligible for the benefits, bonuses, and incentives as listed above in the job description!Caylent is a place where everyone belongs. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you are hired at Caylent, your base salary is determined on factors such as skills, experience, geographic location, and other market conditions.&8239;While it's not typical for offers to be made at the top of the range, please keep in mind that the base salary range is only one component of your overall compensation. ElasticSearch, SolrExperience with at least one of these:Large scale application migration and modernization with a heavy focus on dataSecurity, access controls and governance on cloudExperience with IaC tools such as CloudFormation, CDK, Terraform, and CI/CD toolsExperience with AWS Glue, Lambda, SDKExcellent written and verbal communication skillsBenefits 100% remote workEquitable Life - Hybrid Plan100% Premium Coverage for the employee and dependentsCompetitive phantom equityLong-Term Disability4% Pension match (employer contribution)Unlimited VacationsSick Leave Paid Holidays Parental LeavePaid for exams and certificationsPeer bonus awardsState of the art laptop and toolsEquipment & Office StipendIndividual professional development planAnnual stipend for Learning and DevelopmentWork with an amazing worldwide team and in an incredible corporate cultureThe base salary range for this position is CAD 117,000 - CAD 148,500.