Get Hired Faster With COMPANY_NAME!
Don't you ever think you landed here by any accident, You are here because you are searching for something bigger. You know what?
- A better Job
- A better Future
- A better Knowledge
- A better Paycheck
- A greater Path to walk on.
And COMPANY_NAME is here to give you exactly what you've been missing for so long. The reality is that most job seekers chase job postings, but successful job seekers attract job offers by chasing the accurate information. Therefore, that's the shift COMPANY_NAME is going to help you make. Here are the top 10 ideas to up-skill yourself, so lean in to begin:
1: COMPANY_NAME Smart Tools and Direct Employer Connections Help Speed Up Your Hiring Process
COMPANY_NAME is a career-changing advantage that most seekers never get access to. Imagine...
- Instead of applying for job after job and still not getting any callbacks, you suddenly bump into a tool that can do the heavy lifting for you.
- Instead of wondering, "What do employers actually want?", you are getting insights straight from the employer's desk.
- Instead of hoping your resume gets noticed, it’s kept on the table of decision-makers who are hiring right now.
That's the difference COMPANY_NAME makes. Our tools will let you reach employers directly, which automatically speeds up your hiring process.
2: With Better Matches, Real-time Job Alerts, and Direct Employer Responses, COMPANY_NAME Helps Many Candidates Secure Interviews and Job Offers Within 15 to 30 Days!
How does COMPANY_NAME make this possible?
On COMPANY_NAME, you get notified for roles aligned with your profile right from the start. When an employer posts a role that matches your qualifications and skills, you’ll know first. When you apply early, your chances of getting noticed and shortlisted increase by 20%.
COMPANY_NAME also offers direct employer responses—no more waiting for weeks. Here you engage with hiring managers who are actively looking for candidates.
When all these features combine in one place, you move from your first match to your first interview within days. And ultimately, from application to offer—all within 15 to 30 days!
3: The Type of Resume You Need to Get Priority Placement
With COMPANY_NAME, you don’t just need a resume—you need a strategy. A system that pushes your name to the right tables. We’ll show you exactly how the most successful candidates take initiative and get noticed.
4: Browse Full-Time, Part-Time, and Freelancing Roles With COMPANY_NAME
The job market isn’t one-size-fits-all—and your career shouldn’t be either. COMPANY_NAME gives you access to a wide range of opportunities including full-time, part-time, and freelancing roles all in one place.
5: COMPANY_NAME Helps You Grow Your Career
COMPANY_NAME provides insights, tools, and role-matching that help you find the right direction, the right skills, and the opportunities aligned with your ambition.
6: The Easiest Way To Find A Job
COMPANY_NAME cuts the noise, the endless scrolling, and the confusion. With accurate matches, direct employer connection, and real-time updates, you get a clear and simple path from application to interview.
7: Find Roles That Offer Growth, Culture & Benefits
COMPANY_NAME helps you find roles where you grow, feel supported, and thrive—not just survive. With us, you discover opportunities that elevate your professional life.
8: Get Support With Resume, Interviews & Career Planning
COMPANY_NAME provides expert guidance on resumes, interviews, and planning so employers instantly recognize your strengths and value.
9: Your Future Starts Today
COMPANY_NAME gives you everything you need—tools, guidance, and opportunities—to step forward confidently and begin a new chapter where your potential is seen and supported.
10: Get Hired Within 15 to 30 Days With COMPANY_NAME
COMPANY_NAME follows a smart, strategic, and proven approach that gets your profile noticed faster and moves you toward interviews and offers within 15 to 30 days.
Staff Platform Engineer, AI/ML Infrastructure
Staff Platform Engineer, AI/ML Infrastructure Department:AI Software & Operations Role Summary The Staff Platform Engineer, AI/ML Infrastructure will provide technical leadership for thecloud platforms, deployment systems, and operational foundations that power enterprise-scalegenerative AI applications. This role will define and evolve the infrastructure architecture for AI/ML platforms running across AWS,Kubernetes, serverless, and containerized environments. The engineer will lead platform standards forreliability, scalability, observability, CI/CD, security, and developer enablement, while partnering closelywith software engineering, AI engineering, security, and operations teams. The ideal candidate combines deep hands-on cloud engineering experience with staff-level technicalinfluence. They are comfortable designing infrastructure patterns, writing infrastructure-as-code,improving delivery pipelines, mentoring engineers, and making architectural decisions that raise theoperational maturity of AI platforms across multiple teams. Key Responsibilities Define and drive the technical strategy for AI/ML platform infrastructure supporting generative AIapplications, LLM integrations, model routing, and enterprise AI services. Architect, build, and operate scalable cloud platforms using AWS services such as EKS, ECSFargate, Lambda, DynamoDB, S3, OpenSearch, Secrets Manager, CloudWatch, ALB, and MWAA. Establish reusable infrastructure patterns using CloudFormation, Helm, and Terraform to supportreliable multi-environment and multi-region deployments. Lead CI/CD architecture using GitHub Actions, reusable workflows, OIDC-based AWSauthentication, automated quality gates, deployment promotion, and environment approvals. Design and improve observability across AI platforms, including CloudWatch dashboards, logs,alarms, Prometheus/Grafana, OpenSearch, Langfuse, and LLM-specific operational metrics. Build platform capabilities for GenAI workloads, including model availability monitoring. Partner with software engineering teams to improve deployment reliability, rollback strategies,health checks, autoscaling, load testing, and runtime performance. Define and enforce security and compliance practices for infrastructure, including IAM permissionboundaries, Secrets Manager usage, secret scanning, audit logging, tagging standards, andchange-management controls. Provide technical leadership for cost optimization, capacity planning, environment standardization,and operational resilience across development, test, production, and sandbox environments. Mentor engineers, review architecture and infrastructure designs, and influence platformengineering practices across teams. Basic Qualifications Bachelor’s degree in Computer Science, Engineering, Information Technology, or a relatedtechnical field, or equivalent practical experience. 7+ years of experience in DevOps, platform engineering, cloud infrastructure, site reliabilityengineering, or software engineering roles. Strong hands-on experience with AWS/Azure/GCP infrastructure and services, including container,serverless, networking, storage, observability, and security services. Experience designing and operating production systems on Kubernetes, ECS/Fargate, orcomparable container orchestration platforms. Proficiency with infrastructure-as-code, especially CloudFormation, Terraform, Helm, or similartooling. Strong CI/CD experience with GitHub Actions or similar platforms, including reusable workflows,automated testing, deployment gates, and cloud authentication. Experience building and operating observability solutions using CloudWatch, Prometheus/Grafana,OpenSearch, or similar tools. Strong understanding of cloud security practices, IAM, secrets management, least-privilegeaccess, audit logging, and compliance requirements. Experience supporting distributed systems, microservices, APIs, asynchronous workloads, andmulti-environment deployments. Demonstrated ability to lead technical design, mentor engineers, and influence engineeringpractices across teams. Preferred Qualifications Experience supporting AI/ML or generative AI platforms, including LLM gateways, model routing,prompt observability, token metering, or model failover. Experience operating platforms in regulated enterprise environments, ideally healthcare,pharmaceutical, finance, or life sciences. Experience with multi-account, multi-region AWS architectures and enterprise governancepatterns. Experience with cost optimization, autoscaling strategies, capacity planning, and cloud budgetmonitoring. Experience with load testing and performance validation using tools such as Locust or comparableframeworks. Strong Python or scripting skills for platform automation, operational tooling, and CI/CD extensions. Ability to communicate complex technical decisions clearly to engineering, security, operations,and leadership audiences. Technical Environment This role works across a modern AI platform ecosystem including: Cloud: AWS EKS, ECS Fargate, Lambda, DynamoDB, S3, OpenSearch, CloudWatch, SecretsManager, ALB, VPC, IAM Infrastructure-as-Code: CloudFormation, Helm, Terraform CI/CD: GitHub Actions, reusable workflows, OIDC federation, environment approvals, automatedrelease promotion AI/ML Platform: AWS Bedrock, Azure OpenAI, LiteLLM, Langfuse Observability: CloudWatch dashboards and alarms, Prometheus, Grafana, OpenSearch, Langfuse,custom metrics Security & Governance: IAM permission boundaries, secret scanning, audit logging, taggingcompliance, change-management automation Engineering Practices: Docker, Python, pre-commit, automated testing, load testing, code qualitygates, monorepo service standards Leadership Expectations As a J090 Staff-level engineer, this role is expected to operate beyond individual delivery. The engineerwill identify systemic platform gaps, define technical direction, create reusable standards, and raiseengineering maturity across multiple teams. Success in this role requires strong judgment, ownership, and communication. The engineer should beable to balance hands-on implementation with architectural leadership, guide teams through ambiguoustechnical decisions, and build platform capabilities that make AI product teams faster, safer, and morereliable. Work location assignment : Remote The annual base salary for this position ranges from €65.250,00 to €108.750,00. This salary range applies to the location France - Rives de Paris. We also offer a range of benefits and programs to meet colleagues’ needs. Benefits vary by location and can include health care coverage, retirement savings plans, insurance benefits, an Employee Assistance Program, wellness benefits and more. Additional details about total compensation and benefits will be provided during the hiring process. Pfizer compensation structures and benefit packages are aligned based on the location of hire. Final compensation will be determined based on the successful candidate’s relevant skills, experience, and qualifications, in accordance with pay equity principles and applicable employment laws.This role is posted in multiple locations. If you are applying for the role in an secondary job posting location where pay transparency regulations apply, your Talent Advisor will share the local pay information with you during the first interview.Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates. Égalité des chances & Emploi Nous croyons que des équipes diversifiées et inclusives sont essentielles à la réussite d'une entreprise. En tant qu'employeur, Pfizer s'engage à valoriser la diversité et l’inclusion sous toutes ses formes. Cette diversité se reflète également à travers les patients et les communautés que nous servons. Ensemble, continuons à bâtir une culture qui encourage, soutient et responsabilise nos employés. Handicap & Inclusion Notre mission est de libérer le potentiel de nos collaborateurs et nous sommes fiers d'être un employeur inclusif pour les personnes handicapées, garantissant ainsi l'égalité des chances en matière d'emploi pour tous les candidats. Nous vous encourageons à donner le meilleur de vous-même en sachant que nous apporterons tous les ajustements raisonnables pour soutenir votre candidature et votre carrière future. Votre expérience avec Pfizer commence ici ! Pfizer endeavors to make accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email disabilityrecruitment@pfizer.com. This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned.Pour mieux comprendre les usages autorisés et interdits de l’intelligence artificielle tout au long du processus de recrutement, nous vous invitons à consulter nos bonnes pratiques dédiées à l’utilisation de l’IA par les candidats sur Pfizer Careers. Information & Business Tech
