Lead, Platform Engineering
WHAT MAKES US A GREAT PLACE TO WORK
We are proud to be consistently recognized as one of the worlds best places to work, a champion of diversity and a model of social responsibility. We are currently #1 ranked consulting firm on Glassdoors Best Places to Work list and have maintained a spot in the top four on Glassdoors list for the last 13 years.We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally.
We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents.
WHO YOULL WORK WITH
As a member of Bain's Advanced Analytics Group (AAG) youll join a talented team of diverse and inclusive analytic and engineering professionals who are dedicated to solving complex challenges for our clients. We work closely with our generalist consultants and clients to develop data-driven strategies and innovative solutions.Our collaborative and supportive work environment fosters creativity and continuous learning, enabling us to consistently deliver exceptional results.
WHERE YOULL FIT WITHIN THE TEAM
As a Lead, Platform Engineering you will design and build cloud-based distributed systems that solve complex business challenges for some of the worlds 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.
WHAT YOULL DO:
Cloud solution and distributed systems architecture for full stack AI software and data solutions
Collaborate closely with and influence general consulting teams to develop analytics solutions to client business problems, to prioritize and execute those solutions
Defining and implementing scalable, observable, manageable, and self-healing cloud-based solutions across AWS, Google Cloud and Azure
Implementation, testing and management of Infrastructure as Code (IAC) of cloud-based solutions that may include CI/CD, data integrations, APIs, web and mobile apps, and AI 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
Travel is required (30%)
ABOUT YOU:
Proven experience as a cloud engineer and software engineer within either/or product engineering or professional services organizations
Masters degree in Computer Science, Engineering, or a related technical field
5 years minimum experience
3+ years at Senior or Staff level, or equivalent
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 ChefOne 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
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