We are seeking a Senior AWS DevOps Engineer with strong software engineering expertise and a focus on AI-powered applications. This role combines hands-on feature development in Python/TypeScript with deep AWS infrastructure ownership, ensuring scalable, secure, and high-performing AI services. You'll work closely with client Cloud Engineering teams to align on architecture, deployments, and operational excellence.What You'll DoBuild and ship AI-powered services and backend integrations using Python and TypeScript.Design and provision AWS infrastructure using CDK (or equivalent: Pulumi, CDKTF, SST); implement reusable IaC patterns and security guardrails.Own CI/CD pipelines, deployment strategies, and environment management across staging and production.Troubleshoot complex issues across runtime, networking, and IAM, ensuring resilience and scalability.Partner with client Cloud/Platform teams on architecture, networking, IAM, monitoring, and cost optimization.Translate ambiguous requirements into technical designs, RFCs, and roadmaps, communicating trade-offs effectively.Establish observability practices: logs, metrics, traces, alerts, runbooks, and SLOs.Lead incident response and postmortems to drive continuous improvement.Contribute to AI/ML integration patterns (prompting, retrieval, safety/guardrails, latency/cost optimization).Uphold code quality, reviews, automated validation, and mentor engineers.Core Requirements6+ years professional software engineering experience, including senior-level ownership of production systems.Strong proficiency in:TypeScript ): APIs, event-driven/serverless patterns, testing.Python: data pipelines, backend services, SDKs/CLI tools, AI/ML integrations.AWS (deep hands-on): IAM, VPC, Lambda, ECS/EKS, API Gateway/ALB, S3, CloudWatch, Secrets Manager, Step Functions, EventBridge.Infrastructure as Code: AWS CDK (or CDKTF, Pulumi, SST); modular stacks; multi-account, multi-region setups.CI/CD expertise: GitHub Actions/GitLab CI/CodeBuild, artifact management, blue/green or canary deployments.Production troubleshooting: logs/metrics/traces, containers/serverless runtimes, networking/DNS, IAM permissions.Client-facing skills: requirement gathering, design docs, trade-off analysis, stakeholder presentations.Security mindset: least-privilege IAM, secrets management, compliance, cost monitoring.Nice to HaveAI/ML ecosystem: LLM frameworks (LangChain, LlamaIndex), vector DBs (Pinecone, pgvector, OpenSearch), embeddings, RAG pipelines.AWS AI services: Bedrock, SageMaker, Comprehend; or third-party integrations (OpenAI, Anthropic, Azure OpenAI).Data engineering: ETL/ELT, Kafka/Kinesis, batch/stream processing, Lakehouse architectures.Containers & orchestration: Docker, ECS/Fargate, EKS, Helm.Observability: OpenTelemetry, Datadog, New Relic, centralized logging.Compliance exposure: SOC2, HIPAA, PCI, enterprise security reviews.How You'll WorkLead by example with hands-on coding and architecture.Operate with high ownership across design, delivery, and operations.Collaborate closely with clients, ensuring clear communication and proactive alignment.Balance speed and rigor with testing, monitoring, and documentation.What do we offer you?Attractive salaryLarge freedom and real influenceNo unhealthy competition, team approach to meeting challengesRemote-first, flexible working cultureCompany apartments in cool cities across Europe: work and enjoy a memorable getawayAbout UsWe are a software house with 18 years of experience and a global portfolio of projects. We help businesses modernize, scale, and innovate through custom software solutions — always with a focus on flexibility and quality. Our team embraces unconventional ideas and new technologies, delivering solutions that drive real impact. If you value professionalism, creativity, and a strong engineering culture, you'll feel at home here.Job Type: Full-timePay: €54,000.00-€120,000.00 per yearExperience:Software Engineering: 6 years (required)Python: 5 years (required)Work Location: Remote