and AI applications What You Bring Proven experience in Java or a similar OOP stack (e.g., C#, Kotlin, Scala) Strong grasp of REST APIs, microservices, and containerisation (Docker/Kubernetes) Agile mindset with strong software engineering fundamentals Passion for innovation, learning, and leading by example Familiarity with DevOps tools (Git, Maven, Jenkins, CI/CD) Excellent communication and teamwork skills More ❯
and microservices architecture Expert in data pipeline platforms (Apache Kafka, Airflow, Spark) Proficient in both SQL (PostgreSQL, MySQL) and NoSQL (Elasticsearch, MongoDB) databases Strong containerization and orchestration skills (Docker, Kubernetes) Experience with infrastructure as code (Terraform, CloudFormation) Expertise in building real-time streaming architectures Experience building production AI systems handling sensitive data Knowledge of AI safety, bias detection, and ethical More ❯
on IaC (CDK + Python) Solid experience with unit testing, CI/CD, and agile methodologies Familiarity with Entity Framework, contract-first design, and microservices Nice to Have Docker, Kubernetes exposure Experience with relational/NoSQL databases Git, JIRA, and strong documentation skills Benefits A highly competitive salary package Annual bonus and performance incentives Generous pension and private medical insurance More ❯
plans with detailed scenarios and acceptance criteria. Experience with test automation frameworks and tools Experience with performance, security, or load testing Familiarity with database systems and SQL Experience with Kubernetes and/or Docker is a plus. Experience with React.js, TypeScript preferred Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties More ❯
e.g. Angular) and related technologies (HTML, CSS) Microservices Architecture: Understanding of microservices principles and experience designing and developing RESTful APIs. Cloud-Native Development: Experience with containerization technologies (e.g. Docker, Kubernetes) Database Technologies: Experience with relational and NoSQL databases. (e.g. Oracle, MongoDB) Testing: Knowledge of testing frameworks and best practices (unit, integration, and end to end testing) Collaboration: Excellent communications and More ❯
You'll translate cutting-edge GenAI research into scalable, production-grade solutions, bridging the gap between experimentation and enterprise deployment. Our diverse tech stack encompasses Python, Go, TypeScript, React, Kubernetes, MongoDB, and Generative AI integrations, requiring adaptability and a commitment to continuous learning. Responsibilities Design, develop, and test software applications that leverage Large Language Models and AI capabilities Collaborate closely More ❯
experience with strong knowledge of data structures, design patterns, and SOLID principles. Experience with messaging systems like Kafka and Solace. Proficiency in Spring framework and cloud technologies (Docker/Kubernetes/OpenShift). Familiarity with Jira, Bitbucket, and Gradle. Experience with document databases (MongoDB). Experience developing multi-threaded, distributed systems. Experience with testing frameworks like JUnit and Cucumber. Solid More ❯
deep understanding of user needs and contributing to the overall product vision. Our tech stack is diverse, encompassing (but not limited to) Python, Go, Java/Kotlin, TypeScript, React, Kubernetes, Mongo, and Generative AI features requiring adaptability and a willingness to learn. Responsibilities: Work with a wide variety of Citi teams (not limited to Technology) and help them drive towards More ❯
need to demonstrate a deep understanding of user needs and contributing to the overall product vision. Our tech stack is diverse, encompassing (but not limited to) Java, Go, React, Kubernetes, Mongo, and Generative AI features requiring adaptability and a willingness to learn. Responsibilities: Work with a wide variety of Citi teams (not limited to Technology) and help them drive towards More ❯
SDLC). A primary focus will be on design, development & maintenance of components under Price Master Central systems which would require expertise in Java, Spring, SQL, API development, Kafka, Kubernetes, and Cloud technologies. You will guide & mentor team of engineers, providing technical expertise and direction, and ensure adherence to best practices. A strong understanding of system and enterprise architecture is … MT, Collections, I/O), Spring Boot, REST, GraphQL web services Sound understanding of SQL/PL-SQL on Oracle DB Extensive working knowledge on container platform based on Kubernetes, Kafka, Redis Experience with Unix commands, shell scripting. Strong understanding of Design patterns and Architectural principles Familiarity with standard data structures and algorithms. Experience using the following tools - JIRA, Harness More ❯
team built from the ground up on trust, teamwork and tight feedback loops. As a Principal DevOps Engineer you'll work collaboratively using a pragmatically-chosen modern tech stack (Kubernetes, AWS, Terraform, .NET) to help Gearset run a scalable, secure and reliable service, and enable development of the solution to scale with the rapid growth of the company. We live … Principal DevOps Engineer at Gearset? Be an integral part of building and supporting our multi-tenant infrastructure, running in multiple regions across the globe, all powered by AWS and Kubernetes Work on critical production infrastructure used by thousands of teams and help us to maintain our excellent reputation for delivering a service with minimal downtime, even when we're making … experience as a DevOps engineer Have in-depth practical experience working on AWS (VPC networking and security, IAM, EC2, Postgres RDS, S3, EKS) experience running production-level services in Kubernetes and managing and maintaining the cluster Practical experience automating the management of infrastructure with Terraform Experience in the configuration and running of a CI/CD pipeline Previous experience working More ❯
