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5+ years hands-on experience in automation software like Chef, Puppet, Ansible, Terraform or equivalent. 4+ years of mobile app development experience and excellent hands-on skill in Kotlin (Android.
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Hands-on experience, including freelance work or contributions to open source projects. Proficiency with GIT and at least one major Cloud Service Provider (AWS, GCP, or Azure). Proactive, self-motivated approach, and willingness to take on challenges independently.
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Hands on work in one or more cloud environments (AWS, Azure). - 3 to 5+years developing in Splunk on-prem and/or Splunk SaaS - They're looking for a SME level resource. - Splunk Cloud Certified Administrator.
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Hands on experience using Salesforce Data Loader and other data migration tools. Experience with development on the Salesforce.com platform using Visualforce, Lightning Web Components, Apex, Aura, Flow, Triggers, Salesforce APIs, SOQL, and SOSL.
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Design, implement, and Manage infrastructure as code using Terraform to provision and maintain cloud/on-prem resources. Hands on in Shell, PowerShell, and Python scripting.
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Strong hands-on experience in Python, Data Science, ML libraries and frameworks, Gen AI / LLM, AWS, MS cloud, MLOps. Strong programming skills in Python; experience with Machine Learning libraries and frameworks (e.g., Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., Passion for learning and staying up-to-date with the latest advancements in Machine Learning.
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USC or GC Only. C2C cannot be considered. Strong analytical, problem-solving, organizational, and prioritization abilities. Over 5 years of experience in Software Engineering roles. Technically adept, particularly in SaaS environments.
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You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. You will work on a wide range of initiatives, whether that’s designing robust, secure infrastructure, building large-scale distributed training clusters, deploying LLMs on GPU instances for real-time use cases, or supporting cutting-edge AI development, all in our public cloud infrastructure.
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Basic Qualifications:Bachelor’s Degree plus 9 years of experience in data analytics, or Master’s Degree plus 7 years of experience in data analytics, or PhD plus 4 years of experience in data analyticsAt least 4 years of experience in open source programming languages for large scale data analysisAt least 4 years of experience with machine learning with the full ML development lifecycle using AI and ML frameworks and public cloud.
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Bachelor’s Degree plus 9 years of experience in data analytics, or Master’s Degree plus 7 years of experience in data analytics, or PhD plus 4 years of experience in data analyticsAt least 4 years of experience in open source programming languages for large scale data analysisAt least 4 years of experience with machine learning with the full ML development lifecycle using AI and ML frameworks and public cloud.
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Hands on experience leading development teams along with development of HRIS platforms in the cloud, leveraging Agile methods, aligning and communicating across all cross functional stakeholders on HRIS priorities and issues, driving continuous improvement and managing the Incident Management process.
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You’re going to be coming into a Series A start-up where you’ll be a hands-on engineer and architect all kinds of initial security solutions to protect the cloud-based product/s. This means you’ll need to have extremely strong knowledge of all kinds of cloud security principles, specifically GCP, and you’ll also need to have a strong software engineering background.
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Hands on experience on on-prem to cloud using Ansible, Kubernetes, chef, Puppet, Jenkins, containerization Docker. Strong hands-on experience on Linux System Administration on RHEL and OEL v7, v8 and on Oracle Cloud Platform.
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Hands on and working knowledge experience with Palo Alto Networks, Checkpoint firewalls and zscaler , proxies, DNS, etc. Hands on and working knowledge experience with firewalls, proxies, routers, switches and WAN connectivity.
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Hands-on expertise in identity and access management best practices, procedures, and software solutions like Azure AD, CyberArk, etc. Experience with identity across major OS platforms, cloud providers (e.g., AWS, Azure, GCP), and database technologies (e.g., Oracle, MSSQL, PostgreSQL.
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