AI & Software Engineer Lead

Overview

Named Ad Age Best Places to Work for 11 years in a row and Fast Company Best Workplaces for Innovators since 2022, PMG is a global independent marketing services and technology company that seeks to inspire people and brands that anything is possible. Driven by shared success, PMG leverages business strategy and transformation, creative, media, and insights—as well as its proprietary operating system, Alli—to deliver cutting-edge digital solutions and innovative media strategies.

Our team comprises over 900 employees globally, and our work for ambitious brands like Apple, Nike, Sephora, Experian, Therabody, Best Western Hotels & Resorts, Creed Fragrances, BNY, Intuit, CKE Restaurants, Travelex, and Whole Foods spans 85+ countries.

What You’ll Be Doing

• Leading the design, development, and deployment of innovative, scalable features within the Alli suite of applications.
• Drafting and implementing architectural designs to produce reliable, complex, and highly scalable technical solutions.
• Working closely with Product Managers, Designers, and cross-functional teams to integrate AI-driven solutions that improve performance and drive business outcomes.
• Building scalable products that drive measurable results for our clients.
• Fostering a culture of collaboration and innovation by mentoring junior and mid-level engineers and promoting development best practices.
• Conducting coding, debugging, testing, and troubleshooting across the application development lifecycle.
• Conducting code reviews and providing fellow backend engineers critical feedback to ensure high-quality, maintainable code across Alli.
• Pioneering development in state-of-the-art technologies that transform the marketing technology space.

• 5+ years of backend development experience, with a strong focus on building scalable, high-performance systems, or a related field, with a bachelor’s or master’s degree or equivalent experience.
• 3+ years working with modern backend frameworks such as Django, Flask, or Express.js.
• Proven experience designing and integrating RESTful APIs and microservices architectures.
• Hands-on experience working across all stages of software development, including requirements, design, coding, testing, implementation, and support.
• Experience mentoring and guiding engineers to achieve technical excellence.
• Proficiency in backend languages like Node.js, Python, or Go with a focus on clean and maintainable code.
• Advanced skills in working with databases such as Postgre
  
  SQL, Mongo
  
  DB, Redis, or MySQL, including query optimization and schema design.
• Familiarity with AI technologies like OpenAI, Bedrock, Vertex, and Lang Chain to explore and implement innovative backend solutions.
• Experience with version control tools like Git and CI/CD pipelines to automate testing and deployments.
• Knowledge of infrastructure-as-code tools such as Terraform or Ansible to manage infrastructure efficiently.
• Hands-on experience with containerization tools like Docker and Kubernetes for deploying and managing distributed systems.
• Strong expertise in monitoring tools such as Grafana, Prometheus, or ELK Stack for performance optimization and issue resolution.
• Strong written and verbal communication skills to collaborate effectively across cross-functional teams.
• A proactive, solution-oriented mindset with a passion for creating reliable and impactful backend systems.
• Interest or familiarity with the digital marketing industry and its backend solutions.
• Experience working with large language models (LLMs) or AI-driven backend tools.
• A commitment to curiosity and adaptability as a continual learner, staying at the forefront of media innovation while prioritizing client success with a customer-focused mindset that seeks opportunities to deliver meaningful value.
• A dedication to people-focused leadership, fostering collaboration, innovation, and professional growth by leading by example and nurturing strong relationships that empower others to excel.

• Cloud platforms like AWS and GCP
• Docker and Terraform
• Databases and data warehouses:
  Big Query, Snowflake, Postgres, Redis, Mongo
  
  DB, Redshift
• AI technologies,…