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The Senior Data Engineer will design and maintain scalable data ingestion and AI-driven extraction pipelines using Python, Spark, and AWS. This role involves collaborating with data scientists to integrate LLMs and AI agents into production systems for retail and field operations data.
Working with Us Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens…
Builds and deploys GenAI and agentic AI systems for pharma clients, integrating RAG pipelines, multi-agent frameworks, and medallion data architectures across Microsoft, OpenAI, and AWS ecosystems.
Lead a team ensuring the stability and reliability of Morgan Stanley’s Wealth Management production systems, troubleshooting outages, and optimizing DevOps/SRE practices with tools like Grafana, Prometheus, and AWS.
DevOps Engineer maintains cloud infrastructure, CI/CD pipelines, and automation for a US consultancy, using AWS/GCP/Azure, Docker, and scripting in Bash/Python.
Leads hardware design and optimization for AWS cloud-scale ML acceleration platforms (e.g., Inferentia), focusing on static timing analysis to improve performance, cost, and reliability at massive scale.
The Senior Solutions Architect will partner with state and local government customers to design and implement cloud computing architectures using AWS services. This role involves technical leadership, responding to RFPs, and providing subject matter expertise on security and application integration.
The Lead Software Engineer will develop and maintain a large-scale Data Lake platform using Python, C#.NET, and various AWS services. The role involves designing scalable solutions, optimizing database performance, and collaborating with cross-functional teams in an agile environment.
The Full Stack Developer will design, develop, and maintain full-stack applications and CCaaS platform integrations for PwC clients. The role involves building responsive UIs, backend services using Python or Go, and managing cloud workloads on AWS.
The DevOps Engineer will design and maintain scalable CI/CD pipelines and cloud infrastructure on AWS and Azure for client-facing projects. The role involves managing container orchestration with Kubernetes, automating infrastructure with Terraform, and collaborating with engineering teams to optimize performance.
This DevOps Engineer role involves designing and maintaining scalable CI/CD pipelines and cloud infrastructure for client business applications. The position requires expertise in AWS/Azure, container orchestration with Kubernetes, and infrastructure-as-code tools to optimize operational efficiency.
The Full Stack Developer will design, develop, and maintain full-stack applications and CCaaS platform integrations using Python, Go, and Angular. The role involves working with AWS cloud services and REST APIs to optimize business applications for global clients.
The Full Stack Developer will design, develop, and maintain full-stack applications and CCaaS platform integrations using Python, Go, and Angular. The role involves working with AWS cloud services to optimize operational efficiency for client business applications.
The DevOps Engineer will design and maintain scalable CI/CD pipelines and cloud infrastructure for client projects. The role involves managing container orchestration, automating infrastructure provisioning, and collaborating with engineering teams to optimize performance and reliability.
Build and maintain cloud-based data pipelines and AI solutions in AWS to power analytics and automation for a global health insurer.
Build and maintain cloud-native data infrastructure (ETL/ELT pipelines on AWS) and lead/mentor a software development team at Cigna Healthcare's Bengaluru office.
Build and deploy production-grade AI-powered applications from experimental scripts, focusing on full-stack Python/TypeScript development, agentic AI workflows, and cloud-native AWS architectures.
Leads cloud operations and DevOps teams to design, automate, and secure scalable AWS architectures while driving cloud modernization and resolving critical production issues.
Develops, maintains, and enhances complex software systems for government programs, focusing on mission-critical analytics, algorithms, and large-scale data processing. Works with Python, JavaScript frameworks, AWS, and DevOps tools to deliver secure, high-performance solutions in secure environments.
Develops and optimizes SRD, a high-performance, low-latency transport protocol for AWS cloud infrastructure, ensuring scalability and reliability for ML, HPC, and storage services.
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