Job Title: Senior AWS DevOps & Architect Engineer (Language & SaaS Applications)

Company Name: Languagers Inc

Job Details: Job detailsHere’s how the job details align with your profile.Job typeContract 

Job Url: https://www.indeed.com/jobs?q=react+developer&l=Remote&sc=0fcckey%3A60568148b9285925%2Cq%3Adeveloper%3B&from=searchOnDesktopSerp%2CrelatedQueries%2Cwhereautocomplete&cf-turnstile-response=0.rgioISmGGyGNfKZdl0yZgE9oyBUg-W1A7oXi3KtDOGYPziKvzGVUWNWAi_6-kLgKeV_1n9YevGkkQo4sYZu7V-ULorwzR9g4CaF2ZXvluNozi83dscY0yIXC3-62lgY6a9ys9keemZ5m6WEylwnFwhmNc8qDCU10fHqB-lzCg7ZbPLt5Wu8U_GchQlzdcE_Ggo6fAj0VC-CIWQt9GQax2OvjB48iwArtUVcM58pz8Nobu6ePQ7YmhBYUmA9u4m0aalQbmu-X-K81Inup73v0SB1DUsA2e0DZHpyshf7x8oxZFedXyUhKoBcb31cJj0CoB8XfZQ3kermj55WI0A6fgj6k2FQOpODjRdLlF4VgJWqV4BbEuCezIdJ6fWMeTU4sUd9VeGcsWDlTjuBqLPlM90Bqi7uK1DTBt1et5aFrBe2b8lEyrs1LpJpx2MAaN_f5Ui10YDmZlsaT9JKPbPFU1Zqx5c6A4SN2PDU9d9T5__Xb1ibgBg8k27Yn0drTtC1dhN0FFJ9CeBTffsqID55AptMUUvuqFpWMuZOX6c9Uo9PuCCZMJlA4dJWioX7HESdAJI-JS0cPAYjlN6NRRJdaAf-Fx8pKu5I25wtoVYUHwXGMcqZMI1Sbf7K6igj76RitIkHsf7HYdSQUmpflD2DSUOoJYk4qWY18dch004SActHfvo6nlpeLJYVQEKem0Kh_j9IwDFiqCvzDCxEtOI-WViyI_8_dggkL-iOUv-4HDaJfNDJUwycdJX7D_KRUqTeS4BWEMBSl0BPydu3vqaCA7M_vIHtK7rFj7HQ2NrMcb-bwv2pDpsv6MhERz76ZEexTGIJWNANHtftcbWlos_D1ubAQg8A8KoY1QrG7UnlcRTdTuvSpS1dxmgWjZB2a4iQid9uvDyCcQWIuR0OCIds6UA3NwGCsA_k0_QryHaSt0IA.sNnP714jGKQ1P2vKtbxkHQ.b7ff3a014e30a0e9cd4d18c013f1c525fced6934392f5747c1ce44a58ac471ed&vjk=e4cc55e38ba15851&advn=7759978866295080

Job Description: About Us
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, Machine Learning, Generative AI 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