Job
Description
Role & responsibilities Duties: You will be part of McKinsey's Technology & Digital function and help develop various integration solutions for their data communication needs. You will be responsible for creating innovative interoperability platforms, tools and solutions to enable seamless and secure data integration. Your solutions will be used to connect legacy, newly developed, and vendor applications across the datacenter and cloud environments, and you will be responsible for the full lifecycle of the solutions: System Requirements Developing specifications Designing infrastructure and interfaces Developing code Implementing the platform Helping our customers use it Continuously improving the platform Primary Responsibilities: Design, develop, test, operate and maintain products and enterprise-level API Service Architecture Experience with Domain-based Microservice Architecture Develop and maintain user-facing features using modern front-end frameworks (e.g., React, Angular) Design and build scalable backend APIs and services using technologies like Node.js, Python, Java Identify, design and implement internal process improvements, automate manual processes, optimize service integration, and propose re-designing of infrastructure as appropriate to achieve scalability and cost reduction Design and develop designs, architectures, standards, and methods for large-scale distributed systems with focus on security, resiliency, scale, and performance. Find opportunities to embrace innovative technologies Focuses on cross-platform integration to use and optimize platform capabilities Serve as a core team member, responsible for providing solutions for large high priority cross platform initiatives. Drive root cause analysis and problem management process to prevent problem recurrence. Analyze existing operations and schedule training sessions and meetings to discuss improvements Keep up to date with industry trends and developments Build the infrastructure required for integration and deployment of API services both on-prem and cloud. End-End ownership of critical service availability, latency, performance, efficiency, management, monitoring, capacity planning, performance analysis and system tuning for entire services. Skills: Proficient in building large-scale systems with 10+ years of experience using Java/Python/Golang or other high-performance languages, developer tools, CI/CD, DevOps, monitoring tools and engineering cloud migration solutions Hands on experience working with API Architecture and Solution Design - REST/ GraphQL/ gRPC and API Development using Spring boot and Spring framework, RDBMS & No-SQL (e.g., PostgreSQL, Elastic Search) Experience in developing Front end applications React.js experience is required and backend using Next.js Expereince in technologies including Docker, Kubernetes, Dev OPs, Observability, Site Reliability Engineering (E.g.: Tools like Argo CD, jFrog, Git, Git Workflows) Work with API developers across the teams to build new API features at large scale Expertise in AWS Cloud - AWS CLI, Lambda, API Gateway, IAM, NLB/ELB, Elastic Search, Document DB, EKS, Cloud Networking and Security Experience with IAAC - Terraform/CloudFormation. Experience with Observability/Monitoring technologies: Splunk, Cloud watch, Dynatrace Experience with AI Agents build and enhance API Engineering experience, exposure to recent tech AI trends. Excellent problem-solving skills and a team-oriented mindset Education: Bachelor's degree in quantitative field like Computer Science, Engineering, Statistics, Mathematics or related field required. Advanced degree is a strong plu
