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Quest Software seeks an AI Software Engineer to advance AI-first development practices for a cloud-native SaaS product on Azure. This role involves contributing to the codebase using C#/.NET, Python, and Azure/AWS technologies, while integrating AI coding agents to improve development speed and quality.
Contract DevOps Engineer focused on AWS infrastructure, CI/CD pipelines, Terraform, Docker, and IAM—particularly One Identity Manager customization and connector development for client engagements.
Hands-on Lead Java Backend Engineer building a new critical healthcare application in Den Haag using Java 26, Spring Boot, and AWS Serverless, while coaching a development team.
Data Analyst maintaining a cloud data warehouse, ETL pipelines, and BI dashboards for a B2B food and agriculture trading platform, using SQL, Python, Snowflake, and Power BI.
Designs and implements generative AI and agentic systems for enterprise clients, focusing on LLM-powered workflows, tool integration, and reusable architectures.
Full Stack Developer building and maintaining React frontends and Python/TypeScript backend services, including serverless Azure solutions, an in-house CRM, and POS functionality for an established Australian business on the Gold Coast.
We are seeking a motivated Cloud DevOps and AI Security Engineer to help support, secure, and scale our emerging AI infrastructure and development pipeline. This role is designed for a recent graduate, a master’s…
Senior Data Engineer building and supporting enterprise data infrastructure using PySpark, AWS (Glue, Lambda, S3, Redshift), and Apache Airflow, with production operations and team mentorship responsibilities.
Build and maintain scalable data pipelines using Spark, Scala, Airflow, and Azure Databricks in a hybrid role based in Bengaluru. Work with modern data lakehouse technologies, containerization, and CI/CD practices.
AWS Data Engineer building and optimizing scalable data pipelines and cloud data solutions using AWS Glue, S3, Redshift, Lambda, Python, SQL, and PySpark in Chennai.
Backend Engineer designing, developing, and maintaining scalable services and APIs using Go and Node.js on AWS, with responsibility for CI/CD pipelines via GitHub Actions.
Senior Java Backend Engineer architecting high-throughput, cloud-native microservices using Java 17/21, Spring Boot 3.x, Kafka, Kubernetes, and polyglot databases, with technical leadership and DevOps integration responsibilities.
Backend developer intern building and maintaining backend solutions with Java/Kotlin, MySQL, and REST APIs for Primebook's Android-based laptop platform, with AWS exposure.
Who We Are At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment…
Security Engineer designing and maintaining security controls across AWS environments, using Python, Terraform, and Lambda for automation, while ensuring PCI/SOC compliance and managing incidents via SIEM/EDR tools.
Builds and maintains internal business apps, APIs, and tools in Python and modern web tech, integrating operational systems with CRM, analytics, and AI platforms.
Build and maintain scalable data pipelines, Python services, and cloud-native data products in a DevOps/DataOps model, applying software engineering best practices to deliver reliable, reusable data solutions for analytics and business needs.
Builds and deploys ML models and tooling for PicPay’s fintech platform, automating pipelines and guiding data scientists on best practices.
The Solution Architect will lead the design and implementation of enterprise-scale data platforms on Azure using Databricks and Delta Lake. This role involves defining architecture standards, optimizing data pipelines, and collaborating with stakeholders to support advanced analytics and AI/ML initiatives within insurance business domains.
Hands-on Lead AI Engineer building production-grade AI/GenAI features and cloud-native microservices for client delivery in an IT services firm, using Python/.NET/Java/Node.js, GenAI APIs, LangChain, RAG, and AWS/Azure/GCP with Docker and Kubernetes.
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