Tech Lead, Cloud Strategy

Philip Morris International; Albarraque; Presencial; EUR 70 000 - 100 000; Tempo integral

Resumo da oferta

Philip Morris International is hiring a Tech Lead, Cloud Strategy to steer AWS-based AI platform initiatives and cloud infrastructure. You will set technical direction, review code, and mentor engineers while collaborating with product, security, and operations teams to deliver scalable, secure platforms.

Responsibilities include architecting managed runtimes for AI workloads, implementing GitOps with CI/CD pipelines, and driving observability using OpenTelemetry and CloudWatch.

Qualificações

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
• 7+ years in cloud/platform engineering.
• Hands-on with AWS, AI platform capabilities, and infrastructure as code.
• Experience with security, observability, and CI/CD practices.

Responsabilidades

• Define and drive architecture for cross-functional AWS/cloud initiatives.
• Lead code reviews, establish engineering standards, and mentor team members.
• Collaborate with product and security to deliver scalable, reliable AI platform capabilities.
• Oversee CI/CD pipelines, IaC implementations, and observability across environments.

Conhecimentos

AWS

Python

CI/CD

Infrastructure as Code

GitOps

Kubernetes

OpenTelemetry

Security

AI platform

LangGraph

LangChain

CrewAI

Bedrock

Formação académica

Bachelor’s degree in Computer Science or Engineering

Ferramentas

Crossplane

Terraform

Pulumi

Argo CD

Flux

GitHub Actions

Jenkins

ECR

Bedrock

LangGraph

LangChain

Strands

CrewAI

Step Functions

Snyk

Trivy

OpenTelemetry

CloudWatch

X-Ray

Descrição da oferta de emprego

MAKE HISTORY WITH US!

The Tech Lead, Cloud Strategy is a technical leadership role within the Platform Engineering team, responsible for delivering cross-functional strategic initiatives that accelerate business on AWS. This role requires deep hands-on expertise in AWS services, Python, CI/CD, Infrastructure as Code, and specially AI-oriented platform capabilities (managed runtimes, registries, tool discovery, orchestration frameworks). The Tech Lead sets technical direction through architecture decisions, code reviews, engineering and security standards, and mentorship within an existing team.

Your day-to-day

AI Platform Capabilities

• Architect and implement managed runtime environments for AI workloads on AWS.


• Build service registries with semantic discovery and gateway integrations.


• Integrate LLM providers (e.g., AWS Bedrock) and orchestration frameworks (e.g., LangGraph, Strands, or equivalent).


• Implement communication protocols (MCP, A2A) for tool discovery and service-to-service interaction.


• Develop Python platform code: runtime handlers, SDK integrations, configuration management, and developer-facing templates.

Platform Engineering & Infrastructure

• Build and maintain declarative infrastructure using IaC tools (e.g., Crossplane, Terraform) with GitOps-friendly patterns.


• Implement GitOps workflows (e.g., Argo CD, Flux) for continuous reconciliation and environment promotion.


• Design and operate CI/CD pipelines (GitHub Actions, Jenkins) with security gates: SAST, SCA, container scanning, and automated deployment.


• Build and deploy containerized services on AWS (ARM64/Graviton, ECR, multi-arch Docker builds).


• Implement observability (tracing, metrics, structured logging) using OpenTelemetry as the instrumentation framework and backend tools such as CloudWatch, X-Ray, Elastic, New Relic, or equivalent.

Cross-Functional, End-to-End Delivery

• Collaborate with product owners, developers, operations, and security to deliver integrated solutions.


• Drive initiatives from architecture through production deployment, maintaining quality and timelines.


• Identify and resolve delivery bottlenecks across teams.


• Translate business requirements into platform capabilities that reduce cognitive load for consuming teams.

Technical Leadership

• Set technical direction and make architecture decisions for the team’s initiatives.


• Conduct code reviews and define engineering standards.


• Mentor engineers on cloud-native patterns, AI infrastructure, and platform engineering.


• Lead proof-of-concepts and technical assessments for new technologies.


• Evaluate build-vs-buy decisions aligned with organizational goals.

Collaboration and Communication

• Partner with stakeholders to align initiatives with business priorities.


• Act as subject matter expert in cloud and AI platform engineering during cross-functional planning.


• Produce architecture decision records, technical documentation, and runbooks.

Who are we looking for

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.


• 7+ years in cloud/platform engineering


• AI/ML platforms: Hands-on with at least one — managed runtimes, LLM orchestration frameworks (LangGraph, LangChain, Strands, CrewAI), service registries, or model serving infrastructure.


• AWS (deep): IAM, ECR, Lambda, VPC, CloudWatch, X-Ray, Secrets Manager, KMS, API Gateway, Bedrock.


• Python: Production-grade — async patterns, SDK integrations, framework internals. Not scripting.


• Infrastructure as Code: Crossplane, Terraform, Pulumi, or equivalent. Declarative, GitOps-friendly patterns.


• CI/CD: GitHub Actions or equivalent. Multi-stage pipelines with security scanning, container builds, automated deployment.


• Containers & Kubernetes: Docker (multi-arch/ARM64), ECR, Kubernetes resource model.


• GitOps: Argo CD, Flux, or equivalent. Continuous reconciliation, manifest management, environment promotion.


• Observability: OpenTelemetry, distributed tracing, structured logging, production monitoring.


• Cross-functional collaboration and end-to-end solution delivery.


• Orchestration patterns: runtime registries, tool/service discovery (MCP protocol), A2A communication.


• Workflow orchestration: Step Functions or similar for provisioning workflows.


• Security: SigV4, Cedar/OPA policies, container vulnerability scanning (Polaris, Snyk, Trivy).


• Developer experience: self-service platforms, golden path templates.


• Cloud security, governance, and compliance standards.


• Strong problem-solving skills and ability to translate technical concepts into business value.


• Certifications (Preferred):
  
  
  
  • AWS Solutions Architect – Professional or AWS DevOps Engineer.
  
  
  • CKA/CKAD (Certified Kubernetes Administrator/Developer).
  
  
  
  

For Poland:

In this position, you will earn no less than 27 300 PLN gross per month

Relocation support is not available for this job

At PMI we run the business in line with ethical principles and encourage SpeakUp culture. We care for equal chances and fair treatment. If you find anything that violates these principles in this job offer or the recruitment process, you may contact our Ethics and Compliance Team at [e-mail]. Read more about Ethics&Compliance at PMI - here.

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