Remoto: Teletrabajo

Join Tether and Shape the Future of Digital FinanceAt Tether, we’re not just building products, we’re pioneering a integral financial revolution. Our cutting‑edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve‑backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.Innovate with TetherTether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.But that’s just the beginning:Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco‑friendly practices in state‑of‑the‑art, geo‑diverse facilities.Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting‑edge solutions like KEET , our flagship app that redefines secure and private data sharing.Tether Education : Democratizing access to top‑tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.Why Join Us?Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.Are you ready to be part of the future?About the job:We are seeking a highly skilled DevOps Specialist to architect, implement, and maintain end‑to‑end CI/CD pipelines using GitHub, with a strong focus on test‑driven deployment, automated release management, and Infrastructure as Code (IaC) practices.The role also includes automating build, tagging, and publication processes across web, desktop, and mobile platforms to ensure consistent and traceable releases. Deep expertise in Linux system administration, networking, and IaC tools is essential to deliver scalable, secure, and highly available deployments.ResponsibilitiesLead the design, architecture, and management of CI/CD pipelines using GitHub Actions (and similar tools), ensuring fast, reliable, and reproducible software delivery.Implement and enforce test‑driven deployment systems, integrating automated testing, validation, and monitoring to maintain code quality and accelerate feedback cycles.Containerize applications and microservices with Docker, optimize image builds, and manage deployment pipelines for distributed environments.Develop and maintain cross‑platform build pipelines using CMake or equivalent tools, ensuring consistent compilation and release workflows across web, desktop, and mobile.Automate end‑to‑end release processes, including tagging, building, signing, and distributing mobile, web, and desktop applications.Define and manage Infrastructure as Code (IaC) to provision and maintain reliable, scalable, and secure infrastructure environments.Collaborate closely with development, QA, and operations teams to troubleshoot deployment issues, optimize performance, and improve release reliability.Continuously improve observability and feedback loops, leveraging monitoring and alerting systems to maintain operational excellence.MandatoryBachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline.3+ years of hands‑on experience architecting and maintaining CI/CD pipelines using GitHub Actions or equivalent tools at scale in a production environment.Strong proficiency in test‑driven deployment methodologies, including writing and maintaining automated test suites for integration and end‑to‑end validation.Expertise in containerization technologies such as Docker, including image creation, registry management, and basic orchestration patterns.In‑depth knowledge of C++ build systems, specifically CMake, with proven experience optimizing native build and deployment pipelines.Advanced Linux system administration and networking skills, including shell scripting, package management, performance troubleshooting, firewalls, and VPN configuration.Excellent communication, problem‑solving, and collaboration skills, with the ability to work effectively in globally distributed teams.Experience with Infrastructure as Code (IaC) tools such as Terraform, Ansible, AWS CDK or AWS CloudFormation.Experience with mobile CI/CD automation, including build, tagging, and publication for iOS and Android applications.Advanced knowledge of release management practices, including automated versioning, signing, and artifact distribution.PreferredExposure to observability and monitoring systems,



leveraging tools like Prometheus, Grafana, or ELK for deployment health tracking.Experience working in high‑availability, security‑sensitive environments, especially in fintech, blockchain, or distributed systems contexts.Experience deploying and managing blockchain‑based applications.Exposure to AI/ML pipelines, including automated model training, evaluation, and deployment using frameworks like PyTorch or TensorFlow.RequisitosExperience: 5+ years in DevOps, SRE, or Platform Engineering, supporting 24/7 production environments.Advanced AWS: ECS/Fargate, ALB/NLB, Auto Scaling, VPC, Transit Gateway, Route 53, ACM, CloudFront, IAM, KMS, Secrets Manager, SSM, and CloudTrail across multiple AWS accounts.Infrastructure as Code: Advanced Terraform expertise, including reusable versioned modules, S3 remote state, version pinning, and multi‑environment deployments (Dev, QA, Integration, Prod).Containerization: Docker, Dockerfiles, ECR image management, base images, and ECS task definitions.CI/CD: Jenkins, Groovy, Jenkinsfiles, shared libraries, Java/Maven builds, and Shift‑Left security practices.Streaming & Data Infrastructure: Production experience with Kafka (AWS MSK), Aerospike, and Multi‑AZ architectures. Experience with EMR/EMR Serverless, Flink, Airflow, Athena, and S3 Tables.Monitoring & Observability: Prometheus, Grafana, Graphite, CloudWatch, Fluent Bit, Logstash, OpenSearch, Slack, and SNS alerting.Automation: Strong Python (boto3), Bash scripting, and AWS Lambda.Security: Vulnerability management, system patching, credential protection, API key security, and least‑privilege access.Tools & Collaboration: Git, Pull Requests, Jira, Confluence, and AI‑powered development tools.Strong problem‑solving skills, independent work capabilities, proactive communication, and data‑driven decision‑making.Key ResponsibilitiesDesign, deploy, and maintain scalable, secure, highly available AWS infrastructure.Manage containerized workloads using ECS/Fargate, ALB/NLB, and autoscaling.Develop and maintain reusable Terraform modules and Jenkins/Groovy CI/CD pipelines.Operate and optimize streaming platforms, data infrastructure, and distributed systems.Implement monitoring, logging, alerting, and proactive incident resolution.Continuously optimize AWS costs through resource right‑sizing, waste reduction, and cost‑conscious architecture decisions.Automate operational processes using Python, Bash, and AWS Lambda.Strengthen infrastructure security, vulnerability management, and CI/CD security controls.Own infrastructure projects end‑to‑end, from design and deployment to documentation and ongoing support.Create clear technical documentation and step‑by‑step runbooks for first‑level support teams.Manage infrastructure changes through reviewed Pull Requests using a single main branch.Use performance metrics, operational data, and cost analysis to guide technical decisions and advise leadership.Leverage AI tools to improve productivity while maintaining code quality and review standards.Nice to HaveExperience in AdTech or Real‑Time Bidding (RTB) environments.AWS CloudFormation.Java development experience.We are seeking an experienced Infrastructure engineer to join our Market Data Services team, focusing on our high‑impact Market Data Distribution program.As a Lead Engineer at JPMorgan Chase within our Market Data Services team, you will play a pivotal role in delivering third party data, via cloud‑based Data Platforms for business use across JPMorgan including AI/ML. You will be working within an Agile project environment, participating in two‑week sprint cycles, and collaborating closely with cross‑functional teams to deliver high‑quality solutions.Key ResponsibilitiesBuilding and maintaining AWS EKS EnvironmentsConfigure monitoring for cloud environmentsExtract Transform Load data from Third Parties into AWS DatabasesCollaborate with product owners and stakeholders to ensure data solutions align with business and regulatory requirements.Manage the risk profile of Market Data applications in line with Cyber Security Control ProceduresActively participate in Agile ceremonies and two‑week sprint cycles.Required qualifications, skills, and capabilitiesStrong hands‑on expertise with AWS EKS and Terraform for building and maintaining clustersExperience with build pipelines Jenkins and SpinnakerDeep familiarity with Docker containerizing applicationsExperience with AWS Lambda, AWS Neptune, AWS Glue.Proficient in SQL for Oracle and No‑SQL DSL for ElasticSearch.Experience working in Agile teams.Excellent communication and stakeholder management skills.Datadog, Cloudwatch or Dynatrace experiencePreferred qualifications, skills, and capabilitiesAny experience with S3, Karpenter, Kustomize and Istio will be favorable.Cloud AI Engineer, Google Cloud (English)Share Cloud AI Engineer, Google Cloud (English)**Mid**Experience driving progress, solving problems,



and mentoring more junior team members; deeper expertise and applied knowledge within the relevant area.Share Cloud AI Engineer, Google Cloud (English)**Please submit your resume in English - we can only consider applications submitted in this language.**Only applications of candidates with Mexican citizenship will be evaluated for this role in compliance with the provisions of Article 7 of the Federal Labor Law.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: **Buenos Aires, Argentina; Mexico City, CDMX, Mexico**.**Minimum qualifications:**+ Bachelor's degree in Computer Science or equivalent practical experience.+ 3 years of experience building machine learning solutions and working with technical customers.+ Experience designing cloud enterprise solutions and supporting customer projects to completion.+ Experience building and deploying custom ML models into production, including experience with deep learning frameworks and with designing and deploying agentic AI workflows for business process automation.+ Experience coding in Python, including data structures, algorithms, and software design.+ Ability to communicate in English fluently as this is a customer‑facing role.**Preferred qualifications:**+ Experience working with recommendation engines, data pipelines, or distributed machine learning.+ Experience with deep learning frameworks (e.g., TensorFlow, PyTorch, XGBoost).+ Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments (e.g., Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume).+ Understanding of the auxiliary practical concerns in production machine learning systems.**About the job**The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google's global network, web‑scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.As a Cloud AI Engineer, you will design and implement machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and Vertex AI. You will work with customers to identify opportunities to apply machine learning in their business, and travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. Additionally, you will work closely with Product Management and Product Engineering to build and constantly drive excellence in our products.In this role, you will work with key Google Cloud customers. Together with an innovative team, you will support customer implementation of Google Cloud products through: architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring, and much more.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise‑grade solutions that leverage Google's cutting‑edge technology and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.**Responsibilities**+ Be a trusted technical advisor to customers and solve complex machine learning challenges.+ Coach customers on the practical challenges in machine learning systems: feature extraction and feature definition, data validation, monitoring, and management of features and models.+ Work with Customers, Partners, and Google Product teams to deliver tailored solutions into production.+ Create and deliver best practice recommendations, tutorials, blog articles, and sample code.+ Travel up to 30% in‑region for meetings, technical reviews, and onsite delivery activities.Information collected and processed as part of your Google Careers profile, and any job applications you … (removed above)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 also Google’s EEO Policy ( ,Know your rights: workplace discrimination is illegal ( ,Belonging at Google ( , andHow we hire ( .We are proud to be an equal opportunity workplace and 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 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:#J-18808-Ljbffr

📌 Senior Aws Cloud & Kubernetes Devops Engineer - Remote (Quilmes)
🏢 idearhumano
📍 Quilmes