Lead, Platform Engineer

What Makes Us a Great Place To WorkWe are proud to be consistently recognized as one of the world’s best places to work. We are currently the #1 ranked consulting firm on Glassdoor’s Best Places to Work list and have maintained a spot in the top four on Glassdoor’s list since its founding in 2009. 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 personallyWho You’ll Work WithVector 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 DoAs 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 codeUtilize 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 documentationImplement 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 clientsStay 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 platformTravel is required (30%)RequiredABOUT YOU6+ years minimum experience3+ years at Senior or Staff level, or equivalentMaster’s degree in Computer Science, Engineering, or a related technical fieldProven experience as a cloud engineer and software engineer within either product engineering or professional services organizationsTechnical Skills And KnowledgeExperience designing and delivering cloud-based distributed solutions GCP, AWS, or Azure certifications are a plusExperience 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 PythonDeep familiarity with nuances of software development lifecycleOne or more configuration management tools: Ansible, Salt, Puppet, or ChefOne or more monitoring and analytics platforms: Grafana, Prometheus, Splunk, SumoLogic, NewRelic, DataDog, CloudWatch, Nagios/IcingaCI/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 TerraformExperience with workflow orchestration such as dbt, Beam, Airflow, Luigy, Metaflow, Kubeflow, or any other Use Git as your main tool for versioning and collaboratingExposure to LLMs, Prompt engineering, Langchain a plusStrong 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 performanceKnowledge of data architecture, database schema design, database scalabilityKnowledge of agile development methodologies and principlesInterpersonal SkillsStrong interpersonal and communication skills, including the ability to explain and discuss technicalities of solutions, algorithms and techniques with colleagues and clients from other disciplinesCuriosity, proactivity and critical thinkingAbility to collaborate with people at all levels and with multi-office/region teams