Senior AWS DevOps & Architect Engineer (Language & SaaS Applications)Languagers Inc • United States
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Senior AWS DevOps & Architect Engineer (Language & SaaS Applications)
Languagers Inc
- United States
- United States
Über
We are an established language service company expanding into a broader technology-driven ecosystem. Our current focus includes building multiple web-based applications, with several additional products in the pipeline.
*Role Summary*
We are seeking a *Senior AWS DevOps & Architect Engineer* / *full-stack developer* to lead the design and implementation of cloud infrastructure for *language-based systems*, including NLP pipelines, neural MT, LLM platforms, and multilingual processing services.
This role combines *hands-on DevOps execution* with *high-level architecture ownership*, ideal for engineers experienced in building scalable AI/ML infrastructure on Amazon Web Services.
*Key Responsibilities*
Architecture & Design
* Design end-to-end cloud architectures for NLP / LLM systems on Amazon Web Services
* Define best practices for scalability, security, and cost optimization
* Architect multi-region, high-availability systems
DevOps & Infrastructure
* Build and manage CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI)
* Implement Infrastructure as Code using Terraform / CloudFormation
* Deploy and manage containerized workloads (Docker, Kubernetes / EKS)
* Optimize compute for ML workloads (GPU/CPU balancing, autoscaling)
Language Systems Support
* Support deployment of NLP models and LLM services
* Enable scalable data pipelines for multilingual text processing
* Collaborate with ML engineers, data scientists, and linguists
Monitoring & Reliability
* Implement observability (CloudWatch, Prometheus, Grafana)
* Ensure system reliability, uptime, and performance SLAs
* Troubleshoot production issues across distributed systems
*Required Qualifications*
* 10+ years in DevOps / Cloud Engineering / Architecture roles
* Deep expertise in Amazon Web Services (EKS, ECS, EC2, Lambda, S3, VPC, IAM)
* Strong experience with Kubernetes and container orchestration
* Proven experience designing scalable cloud architectures
* Proficiency in Python, Bash, or Go
* Experience supporting *AI/ML or language (NLP/LLM) systems*
* Strong knowledge of networking, security, and distributed systems
*Preferred Qualifications*
* Experience with Hugging Face, PyTorch, TensorFlow, or spaCy
* Familiarity with MLOps tools (MLflow, SageMaker, Kubeflow)
* Experience with streaming/data tools (Kafka, Kinesis)
* Experience with machine translation frameworks
* Knowledge of localization workflows and internationalization (i18n/l10n)
* Passion for language technologies, eLearning, or SaaS innovation
* AWS Certifications (Solutions Architect – Professional, DevOps Engineer)
*Contract Details*
* Potential partnership to scale
Education:
* Bachelor's (Required)
Experience:
* AWS Lambda: 10 years (Required)
License/Certification:
* AWS Certification (Required)
Work Location: Remote
Sprachkenntnisse
- English
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