Pfizer Logo

Pfizer

Senior Manager, Platform DevSecOps engineer

Posted 2 Days Ago
Be an Early Applicant
Hybrid
Chortiatis
Senior level
Hybrid
Chortiatis
Senior level
The Senior Manager, Platform DevSecOps Engineer will oversee AI platforms to deliver conversational AI and language translation. Responsibilities include integrating security practices in the software development lifecycle, managing cloud infrastructure, ensuring system security, and collaborating with cross-functional teams to deploy AI and ML products.
The summary above was generated by AI

ROLE SUMMARY
The Pfizer Intelligent Assistance Solutions (IAS) Team within the AI Data and Analytics (AIDA) organization is responsible for the products/platforms strategy for Machine Learning (ML), Natural Language Process (NLP) and Generative AI capabilities across the enterprise. Its mission is to innovate, build, standardize and scale breakthrough AI/GenAI solutions, products and platforms that enable Pfizer to connect digitally with all our customers.
The IAS Team seeks a Senior Platform DevSecOps Engineer who will be responsible for supporting a portfolio of AI platforms focused on delivering conversational AI and language translation capabilities to Pfizer. As an Platform DevSecOps Engineer you will play a critical role in ensuring the security, reliability, and efficiency of our AI and machine learning products and platforms. You will work closely with our development, security, and operations teams to integrate security practices into every stage of the software development lifecycle. Your expertise will help us build and maintain robust, scalable, and secure AI Products.
ROLE RESPONSIBILITIES
The Senior Platform DevSecOps engineer colleague's responsibilities include but are not limited to:

  • Support and Administration of key platforms related to Conversational AI and Language Translation capabilities
  • Lead lifecycle management activities related to upgrades, patches, hardware scaling and retirement
  • Foster a culture of continuous improvements across the CI/CD environment with integrated security practices.
  • Implement and maintain DevSecOps practices to ensure security is integrated into the CI/CD pipeline.
  • Automate security testing and vulnerability assessments within the development process.
  • Collaborate with development teams to design and implement secure coding practices.
  • Design, deploy, and manage secure cloud infrastructure for AI and machine learning applications.
  • Implement and manage security controls, such as firewalls, intrusion detection/prevention systems, and encryption.
  • Monitor and respond to security incidents and vulnerabilities in a timely manner.
  • Develop and maintain security policies, procedures, and documentation.
  • Work closely with cross-functional teams to assist in hosting and deploy AI and ML based products, pipelines and API services into Dev, Stage and Production.
  • Provide training and guidance to AI development and operations teams on DevSecOps best practices.
  • Continuously evaluate and improve security processes and tools.
  • Participate in incident response and post-mortem analysis to identify and address root causes.


BASIC QUALIFICATIONS

  • BSc degree in Computer Science or Engineering is required. MSc is preferred.
  • 7+ years of experience in deploying enterprise software solutions in private cloud environments or public cloud providers preferably AWS & Azure as well as familiar with cloud architecture frameworks on AWS /Azure /GCP.
  • Familiar with AWS services Fargate /Lambda/Dynamo DB/EC2/S3).
  • Experience in building and managing production services using Kubernetes and Docker.
  • Proficient understanding of code versioning tools such as GIT.
  • Has owned systems and managed development of end-to-end applications.
  • Experience with production deployments of complex systems.
  • Experience with IaC tools like Terraform and Cloud Formation.
  • Basic Knowledge with generative AI services offered by several providers like AWS /Azure/GCP.
  • Experience with an industry accepted structured software development life cycle methodology.
  • Experience in supporting the development of complex software products including the deployment of multiple versions / releases of a large product.
  • Ability to contribute to technical specifications and technical design documentation for the software development team.
  • Familiar with ITIL framework.
  • Experience with monitoring tools like (Grafana /Dynatrace).
  • Experience with working in teams to address software defect analysis, troubleshooting, and resolution.
  • Proven ability in performance testing and optimization of developed source code for an enterprise business application.
  • Proven ability to work collaboratively with the software development team while driving software improvements.
  • Candidate must be an excellent communicator.


GENERAL SKILLS REQUIREMENTS
Advisor/Consultancy: Provides well-informed advice, typically within a specific technical specialization, ensuring that it is properly understood and appropriately exploited, to enhance the effectiveness of significant activities. Provides advice on technical aspects of Conversational UI and ensures that relevant technical strategies, policies, standards and practices are applied correctly.
Technical Acumen: Maintains knowledge of specific technologies provides detailed advice regarding their application, executes specialized tasks.
Thought Leadership & Advocacy: Develop awareness of industry developments and best practices Provide thought leadership in emerging technologies as they relate to AI and Conversational UI
Presentation Skills: Ability to develop visually simple and appealing PowerPoint presentations and be comfortable with articulating and communicating with the right authority and messaging to a broad range of stakeholders
Work Location Assignment: Hybrid
Purpose
Breakthroughs that change patients' lives... At Pfizer we are a patient centric company, guided by our four values: courage, joy, equity and excellence. Our breakthrough culture lends itself to our dedication to transforming millions of lives.
Digital Transformation Strategy
One bold way we are achieving our purpose is through our company wide digital transformation strategy. We are leading the way in adopting new data, modelling and automated solutions to further digitize and accelerate drug discovery and development with the aim of enhancing health outcomes and the patient experience.
Flexibility
We aim to create a trusting, flexible workplace culture which encourages employees to achieve work life harmony, attracts talent and enables everyone to be their best working self. Let's start the conversation!
Equal Employment Opportunity
We believe that a diverse and inclusive workforce is crucial to building a successful business. As an employer, Pfizer is committed to celebrating this, in all its forms - allowing for us to be as diverse as the patients and communities we serve. Together, we continue to build a culture that encourages, supports and empowers our employees.
Disability Inclusion
Our mission is unleashing the power of all our people and we are proud to be a disability inclusive employer, ensuring equal employment opportunities for all candidates. We encourage you to put your best self forward with the knowledge and trust that we will make any reasonable adjustments to support your application and future career. Your journey with Pfizer starts here!
Information & Business Tech
#LI-PFE

Top Skills

Docker
Generative Ai
Git
Kubernetes
Machine Learning
Natural Language Processing

Pfizer Kildare, IRL Office

Pfizer Newbridge, Ireland

Pfizer Dublin, Dublin, IRL Office

Grange Castle Business Park, Dublin, Ireland

Similar Jobs at Pfizer

Be an Early Applicant
12 Days Ago
Chortiatis, GRC
Hybrid
121,990 Employees
Senior level
121,990 Employees
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
The Sr. Manager, Scientific Computing Cloud Engineer will develop and deploy automated high-performance computing solutions in AWS for R&D, Clinical, and Manufacturing teams. You'll manage HPC systems, oversee data stewardship, and lead projects, ensuring timely delivery. Collaboration with teams to align HPC strategies and providing mentorship to junior engineers will also be key responsibilities.
Be an Early Applicant
19 Days Ago
Chortiatis, GRC
Hybrid
121,990 Employees
Mid level
121,990 Employees
Mid level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
The Sr. Associate Analytics Solution Engineer will develop and enhance data solutions, collaborate with cross-functional teams, translate business problems into analytical solutions, and mentor junior developers while ensuring high-quality standards.

What you need to know about the Dublin Tech Scene

From Bono and Oscar Wilde to today's tech leaders, Dublin has always attracted trailblazers, with more than 70,000 people working in the city's expanding digital sector. Continuing its legacy of drawing pioneers, the city is advancing rapidly. Ireland is now ranked as one of the top tech clusters in the region and the number one destination for digital companies, with the highest hiring intention of any region across all sectors.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account