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A Senior DevOps Engineer at Adobe building and managing globally distributed infrastructure for the Search & Discovery and Adobe Sensei ML platforms, utilizing Elasticsearch, Kafka, Kubernetes, Docker, and public clouds like AWS and Azure.
Responsibilities: Build and maintain automated CI/CD pipelines that enable continuous integration and deployment. Oversee cloud infrastructure across AWS, Azure, or Google Cloud environments, ensuring optimal…
Build and maintain scalable web apps and backend systems, integrating ERP/SCM platforms with React, .NET, and SQL; optimize data pipelines and APIs for enterprise workflows.
Job Responsibilities: Design and develop end-to-end solutions that meet functional requirements, including specifications, testing, and implementation. Perform impact analysis on issues and contribute to continuous…
Build and maintain Java-based web apps and REST APIs with Spring Boot, Node.js, React, and TypeScript, using PostgreSQL, MongoDB, and ElasticSearch in an Agile team.
Builds and maintains scalable Java/.NET backend systems, REST APIs, and cloud-native services while integrating AI/Generative AI tools to improve business processes and system reliability.
Designs cloud-native payment architectures (AWS) for digital banking, wallets, cards, and cross-border payments using Java and event-driven patterns.
Build and deploy ML/computer-vision models in Python to analyze manufacturing data, clean and model signals, and collaborate with R&D to improve production quality and efficiency.
Owns market and reference data for equities, bonds, funds and indices; negotiates vendor feeds, defines data models, and ensures quality for a fintech platform serving institutional clients.
Senior Data Engineer builds and maintains scalable data pipelines and warehouses using Spark, Kafka, Airflow, and BigQuery to transform raw data into reliable systems for analytics and ML.
Provides Level 2 production support for a cloud-native Order Management System (OMS), troubleshooting incidents, performing root cause analysis, and collaborating with engineering teams to resolve issues in a 24/7 on-call rotation using Java, Spring Boot, MongoDB, AWS, and observability tools like Grafana and CloudWatch.
Build and maintain Kubernetes-based platforms and CI/CD tooling to give product teams a secure, self-service foundation for deploying and monitoring applications.
Build and maintain Spring Boot microservices (MySQL, MongoDB, Redis) for an RFID-based supply-chain tracking system, integrating hardware readers and external systems like WMS/OMS.
Build and maintain data pipelines, warehouses, and lakes to ensure accurate, accessible, and secure data processing and analysis for a large financial institution.
Designs and leads cloud-based data and analytics platforms, including AI-enabled solutions, while setting engineering standards and guiding teams in a hybrid fintech environment.
Build and maintain AI-powered Python applications, REST APIs, and microservices using frameworks like FastAPI/Flask and cloud platforms.
Analyze and migrate legacy SQL databases to modern NoSQL systems for a cloud-based application modernization program.
Principal Engineer at Verisk builds and shapes cloud-native, full-stack software that powers global insurers’ decision-making using modern web tech and distributed systems.
Lead Software Architect designs scalable, cloud-native systems and guides engineering teams through modernization, balancing business needs with technical constraints.
Design and build scalable Python/FastAPI services and big-data pipelines using MongoDB and Apache Spark for Avnet’s digital transformation and AI/LLM integrations.
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