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We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure.
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Experience building and maintaining scalable, modern systems in AWS, Google Cloud or Azure. Experience with modern web development frameworks (React. Experience with modern python.
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S DegreeAt least 8 years of professional software engineering experience (Internship experience does not apply)At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications:Master.
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Experience working with public cloud providers (AWS, Azure, or GCP) and modern cloud monitoring system observability frameworks (e.g., Datadog). Responsible for the design, implementation, reliability and management of cloud-based FedRAMP-compliant applications and platforms.
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Manage, report, and facilitate certification of access for all in-scope resources (including SaaS, AWS, Azure, CSS managed applications, tools, and systems). Five-plus (5+) years of experience building production services using Cloud Infrastructure Providers such as Amazon Web Services (AWS.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service.
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Python, SQL, AWS, GCP, Golang, Hadoop, Snowflake, RDBMS, Kakfa, BI Reporting Tools, And Data Science Toolkits. Cloud Data Warehouses (Amazon Redshift, Snowflake, Google BigQuery) Modern Data Workflows (Apache Airflow, dbt, Dagster.
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Strong knowledge and understanding of cloud-based data services on Azure, AWS, or GCP. 4+ years of experience with AWS, GCP, Azure, or another cloud service. Fluency and expertise in modern data stacks, e.g. Snowflake, Apache Iceberg, DBT, Delta Lake, Spark, Apache Flink, Cassandra, PostgreSQL etc.
$300,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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Strong experience using and managing AWS, GCP, Azure, or other cloud environment with IaC. Deep domain-knowledge with prominent cloud identity provider(s): Okta, Duo, Google Workspace, Azure AD, Ping, etc.
$165,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Go, JVM) Familiarity with relational database systems Experience with API design and development Experience with cloud based technologies such as AWS, Azure or google cloud Knowledge of containerization and orchestration technologies such as Docker and Kubernetes Familiarity with continuous integration and continuous deployment(CI/CD) pipelines Experience with security and systems that handle sensitive data Personality Traits We Value.
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Certifications one or more: Google - Professional Data Engineer; AWS - Developer - Associate; Azure - MCSA: Cloud Platform (Development Focus) Providing knowledge of container management tools (e.g. Docker, OpenShift), container orchestration (e.g. Kubernetes), infrastructure-as-code (e.g. Ansible, CloudFormation), and have familiarity with modern build experience tools (e.g. Maven) and cloud integration systems (e.g. Jenkins.
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As a lead DevOps infrastructure engineer at The Swift Group, you’ll oversee a team of cloud architects and engineers as they manage server configuration for modern cloud solutions.
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Create and implement best practices for deploying and maintaining software for multiple customers across all three major cloud providers (AWS, GCP, Azure) with minimal downtime and high reliability.
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Atlas allows customers to build anywhere - on the edge, on premises, or across cloud providers. This role solves technically sophisticated problems, gains incredible cross-stack experience, works with top-notch people in the business, networks with industry leaders, and sees new places - all in a day's work MongoDB PS exists to support the development of our customers' vision, accelerate customers' time to value, and drive a multitude of customer adoption scenarios - from building new solutions to modernizing legacy applications or migrating to cloud.
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