DevOps / Infrastructure Engineer jobs in United States
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Jobs via Dice · 5 hours ago

DevOps / Infrastructure Engineer

Dice is the leading career destination for tech experts, and they are seeking a DevOps/Infrastructure Engineer for their client, Estuate Inc. The role involves developing and deploying AI/ML solutions, designing RESTful APIs, and working with cloud platforms and containerized workflows.

Computer Software
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Responsibilities

W2 Contract - Local Resources only (NO THIRD PARTY) •Minimum Requirements:
Strong proficiency in either a front-end framework (Vue.js, React, or similar) and a backend web frameworks in Python and/or JavaScript (Django, FastAPI, Flask, Next.js, or similar)
2+ years experience with front-end frameworks (preferably Vue.js)
2+ years of developing and deploying AI/ML solutions or applications
Experience designing and developing RESTful APIs (with e.g. Python FastAPI)
Proficiency with containerized workflows and architectures (Podman, Docker, Kubernetes)
3+ years of DevOps experience with cloud platforms, specifically AWS (EKS, RDS, EC2)
Experience with caching and data store technologies like Redis
Experience with CI/CD pipelines and automation tools (GitLab CI, GitHub Actions)
Proficiency in Infrastructure as Code tools (Terraform, CloudFormation) and GitOps (Argo CD)
Experience with monitoring and observability tools (Portkey, Prometheus, Grafana, ELK stack)
Experience with cloud data warehousing / analytics platforms (e.g., Snowflake, BigQuery, Redshift)
Knowledge of system administration, particularly with Linux
Experience with security best practices and compliance frameworks
Strong incident management and root cause analysis skills
Familiar with Agile methodologies
Excellent analytical and problem-solving skills with a track record of tackling complex technical challenges
Strong interpersonal and communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders
Extensive experience with cloud platforms (e.g. AWS) and modern data platforms (e.g., Snowflake)
Experience implementing chatbots, retrieval-augmented generation (RAG) systems, and integrating LLMs into applications (AI-assisted automation)

Qualification

DevOps experienceCloud platforms (AWS)Containerized workflowsRESTful APIsAI/ML solutionsInfrastructure as CodeMonitoring toolsMicroservices architectureDatabase administrationFront-end frameworksAgile methodologiesIncident managementAnalytical skillsSecurity best practicesChatbots integrationInterpersonal skills

Required

Bachelor s or Master s degree in Computer Science, Engineering, Mathematics, or a related field
Strong proficiency in either a front-end framework (Vue.js, React, or similar) and a backend web frameworks in Python and/or JavaScript (Django, FastAPI, Flask, Next.js, or similar)
2+ years experience with front-end frameworks (preferably Vue.js)
2+ years of developing and deploying AI/ML solutions or applications
Experience designing and developing RESTful APIs (with e.g. Python FastAPI)
Proficiency with containerized workflows and architectures (Podman, Docker, Kubernetes)
3+ years of DevOps experience with cloud platforms, specifically AWS (EKS, RDS, EC2)
Experience with caching and data store technologies like Redis
Experience with CI/CD pipelines and automation tools (GitLab CI, GitHub Actions)
Proficiency in Infrastructure as Code tools (Terraform, CloudFormation) and GitOps (Argo CD)
Experience with monitoring and observability tools (Portkey, Prometheus, Grafana, ELK stack)
Experience with cloud data warehousing / analytics platforms (e.g., Snowflake, BigQuery, Redshift)
Knowledge of system administration, particularly with Linux
Experience with security best practices and compliance frameworks
Strong incident management and root cause analysis skills
Familiar with Agile methodologies
Excellent analytical and problem-solving skills with a track record of tackling complex technical challenges
Strong interpersonal and communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders
Extensive experience with cloud platforms (e.g. AWS) and modern data platforms (e.g., Snowflake)
Experience implementing chatbots, retrieval-augmented generation (RAG) systems, and integrating LLMs into applications (AI-assisted automation)

Preferred

Experience with Huggingface, Langchain, TensorFlow, PyTorch, or similar
Experience with microservices architecture and managing distributed systems
Experience with DevSecOps practices and security scanning tools
Experience with database administration and management, including performance tuning, backups, and disaster recovery
Experience with cloud cost optimization strategies, performance engineering, and application optimization
Experience with test automation e.g. Playwright
Familiarity with CRDT technologies like Yjs
Experience with using NLP/LLMs on clinical text
Basic knowledge of clinical drug development

Company

Jobs via Dice

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Funding

Current Stage
Early Stage
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