Grain Slovakia s.r.o
Senior AI focused AWS DevOps Engineer
Grain Slovakia s.r.o, Baltimore, Maryland, United States
We are lookong forSenior AI focused AWS DevOps Engineer.
What you’ll do:
Design, build, and ship AI-powered services and integrations using Python and TypeScript.
Define and provision AWS infrastructure using AWS CDK or equivalent (e.g., CDKTF, SST, Pulumi); implement reusable IaC patterns and guardrails.
Own CI/CD pipelines, deployment strategies, and environment management; diagnose and resolve build, runtime, and networking issues across staging/production.
Partner with client Cloud/Platform teams to align on architecture, security, IAM policies, networking (VPCs, subnets, peering), monitoring, and cost controls.
Translate ambiguous client requirements into clear technical designs, RFCs, and deliverable roadmaps; set expectations and communicate trade-offs.
Establish observability and reliability practices (logs, metrics, traces, alerts, runbooks, SLOs); lead incident response and postmortems.
Contribute to data and model integration patterns for LLMs/ML (prompting, retrieval, evaluation, safety/guardrails, latency/cost optimization).
Uphold code quality via reviews, testing, and automated validation; mentor engineers and raise the technical bar.
Prerequisites and skills
Core requirements: 6+ years of professional software engineering experience, including senior-level ownership of production systems. Strong proficiency in: TypeScript: building backend services (Node.js), APIs, event-driven/serverless patterns, testing. Python: data pipelines, backend services, SDKs/CLI tools, integration with AI/ML libraries. AWS: deep hands-on with IAM, VPC, Lambda, ECS/EKS, API Gateway/ALB, S3, CloudWatch, CloudFormation/CDK, Secrets Manager/SSM, Step Functions or event buses. Infrastructure as Code: fluent with AWS CDK or similar (CDKTF, Pulumi, SST); ability to design modular stacks and handle multi-account, multi-region setups. CI/CD and DevOps: experience with GitHub Actions/GitLab CI/CodeBuild, artifact management, testing strategies, blue/green or canary deployments. Production troubleshooting: strong diagnostic skills across logs/metrics/traces, container/serverless runtimes, networking/DNS, and permissions. Client-facing communication: proven ability to gather requirements, write design docs, present trade-offs, and collaborate with enterprise cloud/platform teams. Security and compliance mindset: least-privilege IAM, secrets management, data privacy, auditability, cost/performance monitoring. Nice to have: AI/ML ecosystem: experience with LLM frameworks (LangChain, LlamaIndex), vector databases (OpenSearch, Pinecone, pgvector), embeddings, RAG, prompt evaluation. AWS AI services: Bedrock, SageMaker, Comprehend, or integrating third-party model providers (OpenAI, Anthropic, Azure OpenAI). Containers and orchestration: Docker, ECS/Fargate, EKS, Helm; serverless-first architectures. Observability stack: CloudWatch, OpenTelemetry, Datadog/New Relic, centralized logging. Compliance/domain exposure: SOC2, HIPAA, PCI, or enterprise security reviews. How you’ll work: Lead by example with hands-on coding and architecture. Operate with high ownership across design, delivery, and operations. Collaborate closely with client stakeholders; communicate clearly and proactively. Balance speed and rigor with high-quality testing, monitoring, and documentation. Further information
Seniority:
Senior Location:
99% remote; mandatory attendance to planning sessions/workshops four times a year (able to travel freely around UK and Europe) US Hours overlap needed:
Yes! 14:00 - 18:00 CET Language:
EN About the company
Apply for the position
First name Last name E-mail Phone Introduce yourself (optional) DOC, DOCX, ODT, PDF, RTF a TXT, max. 20 MB.
#J-18808-Ljbffr
Core requirements: 6+ years of professional software engineering experience, including senior-level ownership of production systems. Strong proficiency in: TypeScript: building backend services (Node.js), APIs, event-driven/serverless patterns, testing. Python: data pipelines, backend services, SDKs/CLI tools, integration with AI/ML libraries. AWS: deep hands-on with IAM, VPC, Lambda, ECS/EKS, API Gateway/ALB, S3, CloudWatch, CloudFormation/CDK, Secrets Manager/SSM, Step Functions or event buses. Infrastructure as Code: fluent with AWS CDK or similar (CDKTF, Pulumi, SST); ability to design modular stacks and handle multi-account, multi-region setups. CI/CD and DevOps: experience with GitHub Actions/GitLab CI/CodeBuild, artifact management, testing strategies, blue/green or canary deployments. Production troubleshooting: strong diagnostic skills across logs/metrics/traces, container/serverless runtimes, networking/DNS, and permissions. Client-facing communication: proven ability to gather requirements, write design docs, present trade-offs, and collaborate with enterprise cloud/platform teams. Security and compliance mindset: least-privilege IAM, secrets management, data privacy, auditability, cost/performance monitoring. Nice to have: AI/ML ecosystem: experience with LLM frameworks (LangChain, LlamaIndex), vector databases (OpenSearch, Pinecone, pgvector), embeddings, RAG, prompt evaluation. AWS AI services: Bedrock, SageMaker, Comprehend, or integrating third-party model providers (OpenAI, Anthropic, Azure OpenAI). Containers and orchestration: Docker, ECS/Fargate, EKS, Helm; serverless-first architectures. Observability stack: CloudWatch, OpenTelemetry, Datadog/New Relic, centralized logging. Compliance/domain exposure: SOC2, HIPAA, PCI, or enterprise security reviews. How you’ll work: Lead by example with hands-on coding and architecture. Operate with high ownership across design, delivery, and operations. Collaborate closely with client stakeholders; communicate clearly and proactively. Balance speed and rigor with high-quality testing, monitoring, and documentation. Further information
Seniority:
Senior Location:
99% remote; mandatory attendance to planning sessions/workshops four times a year (able to travel freely around UK and Europe) US Hours overlap needed:
Yes! 14:00 - 18:00 CET Language:
EN About the company
Apply for the position
First name Last name E-mail Phone Introduce yourself (optional) DOC, DOCX, ODT, PDF, RTF a TXT, max. 20 MB.
#J-18808-Ljbffr