Lead, Platform Engineer

WHAT MAKES US A GREAT PLACE TO WORK

We are proud to be consistently recognized as one of the world’s best places to work. We are currently the top ranked consulting firm on Glassdoor’s Best Places to Work list and have earned the #1 overall spot a record seven times.

Extraordinary teams are at the heart of our business strategy, but these don’t happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.

WHO YOU’LL WORK WITH 

Vector is Bain’s integrated digital and analytics capability, bringing together Enterprise Technology and AI, Insights & Solutions (AIS) to deliver cutting-edge innovation. AIS, formed through the merger of Bain's Advanced Analytics and Innovation & Design teams, is a diverse group of experts in analytics, engineering, product management, and design. Together, we create human-centric solutions that leverage the power of data and artificial intelligence to drive competitive advantage for our clients.        

WHAT YOU’LL DO

As a Lead, Platform Engineering, you will design and build cloud-based distributed systems that solve complex business challenges for some of the world’s largest companies. You will draw on your deep software engineering, cloud engineering, and DevOps expertise to design and build technology stacks and platform components that enable cross-functional AI Engineering teams to create robust, observable, and scalable solutions.

• Participate in code reviews and contribute to the establishment and enforcement of coding standards and best practices to ensure high-quality, maintainable code
• Utilize Kubernetes and containerization technologies to deploy, manage, and scale analytics applications in cloud environments, ensuring optimal performance and availability. 
• Develop and maintain APIs and microservices to expose analytics functionality to internal and external consumers, adhering to best practices for API design and documentation
• Implement robust security measures to protect sensitive data and ensure compliance with data privacy regulations and organizational policies. 
• Continuously monitor and troubleshoot application performance, identifying and resolving issues that impact system reliability, latency, and user experience. 
• Influence, educate and directly support the platform  engineering capabilities of our clients
• Stay current with emerging trends and technologies in cloud computing, data analysis, and software engineering, and proactively identify opportunities to enhance the capabilities of the analytics platform

ABOUT YOU

Kindly submit CVs in English 

Required

• 6+ years minimum experience and 3+ years at Senior or Staff level, or equivalent
• Master’s degree in Computer Science, Engineering, or a related technical field
• Proven experience as a cloud engineer and software engineer within either product engineering or professional services organizations
• Language proficiency in Korean and English both

Technical Skills and Knowledge:

• Experience designing and delivering cloud-based distributed solutions GCP, AWS, or Azure certifications are a plus
• Experience building infrastructure as code with tools such as Terraform (preferred), Cloud Formation, Pulumi, AWS CDK, CDKTF, etc.
• Experience building backend APIs, services and/or integrations with Python
• Deep familiarity with nuances of software development lifecycle
• One or more configuration management tools: Ansible, Salt, Puppet, or Chef
• One or more monitoring and analytics platforms: Grafana, Prometheus, Splunk, SumoLogic, NewRelic, DataDog, CloudWatch, Nagios/Icinga
• CI/CD deployment pipelines (e.g. Github Actions, Jenkins, Travis CI, Gitlab CI, Circle CI)
• Practitioner experience with Kubernetes through services like GKE, EKS or AKS is a benefit 
• Experience implementation of large-scale structured or unstructured databases, orchestration and container technologies such as Docker, Kubernetes or Terraform
• Experience with workflow orchestration such as dbt, Beam, Airflow, Luigy, Metaflow, Kubeflow, or any other 
• Use Git as your main tool for versioning and collaborating
• Exposure to LLMs, Prompt engineering, Langchain a plus
• Strong knowledge in designing API interfaces 
• Strong computer science fundaments in data structures, algorithms, automated testing, object-oriented programming, performance complexity, and implications of computer architecture on software performance
• Knowledge of  data architecture, database schema design, database scalability
• Knowledge of agile development methodologies and principles
• Travel frequency and destinations will vary based on project needs. 
• Hybrid role

Interpersonal Skills:

• Strong interpersonal and communication skills, including the ability to explain and discuss technicalities of solutions, algorithms and techniques with colleagues and clients from other disciplines
• Curiosity, proactivity and critical thinking
• Ability to collaborate with people at all levels and with multi-office/region teams