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 Do
* Build 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 Requirements
* 6+ 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 Have
* AI/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 Work
* Lead 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 salary
* Large freedom and real influence
* No unhealthy competition, team approach to meeting challenges
* Remote-first, flexible working culture
* Company apartments in cool cities across Europe: work and enjoy a memorable getaway
About Us
We 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-time
Pay: €54,000.00-€120,000.00 per year
Experience:
* Software Engineering: 6 years (required)
* Python: 5 years (required)
Work Location: Remote