... data ingestion pipelines, databases, and services. Experience with object-oriented programming and Go. Experience with at least one cloud provider, including AWS, Azure, or GCP. Experience with message queue technologies such as AWS Kinesis, Google Pub/Sub, or Kafka. Experience with databases such as Bigtable, Cloud Spanner, ...
... development methodologies. Experience in implementing complex algorithms and logic. A mazon Web Services knowledge and experience preferred. Experience with cloud-based code build and deployment process preferred (Jenkins, AWS, Azure, Docker, Kubernetes). Flexible working environment LinkedIn Learning Employee-Assistance-Program ...
... scheduling environment and support enterprise batch operations. - Provide L2 operational support across Windows/Linux servers , Microsoft Azure (preferred) or AWS cloud environments, VMware , enterprise storage , and backup platforms (Veeam/ExaGrid or equivalent). - Participate in infrastructure automation initiatives using ...
... Qualifications & Experience: Bachelor's or Master's degree in Computer Science, AI/ML, Engineering, Data Science, or a related discipline. 9+ years of software engineering experience, with 2+ years building and deploying production LLM-powered applications. Proven experience with: Cloud LLM providers: AWS Bedrock, Azure OpenAI, ...
... (PowerShell/Python) for data validation and automation. Good understanding of data quality, de-duplication, cleansing, and validation techniques. Working knowledge of cloud data platforms (Azure SQL, Azure Synapse, or AWS RDS/Redshift) and hybrid on-prem-to-cloud migration patterns. Awareness of data security and compliance considerations ...
... MongoDB). Message brokers (Kafka, RabbitMQ) and event-driven architectures. GIT workflow including GITHUB or BitBucket as SCM. Building and deploying applications in a cloud-based environment (AWS, Azure). Familiarity with Agile methodologies (Scrum Framework, JIRA tool) Strong troubleshooting and problem-solving skills
... and working with CI/CD pipelines. Experience in performance tuning, debugging, and resolving production issues. Good understanding of SQL/NoSQL databases and cloud environments (AWS/Azure/GCP preferred). Experience in prompt engineering and using AI tools to enhance development workflows. Excellent leadership, communication, ...
... experience with Java (Spring Boot), .NET Core, and Golang . - Strong understanding of AI/ML concepts , model lifecycle, and deployment (MLOps). - Experience with cloud platforms (AWS, Azure, GCP) and container orchestration (Docker, Kubernetes). - Proficiency in Python for AI/ML development and integration. - Infogain is a ...
... in short, agile, iterative development cycles - Entrepreneurial spirit, priding yourself on getting things done with a high level of quality - Experience with AWS/Azure/GCP is a plus. - Experience mentoring other engineers and leading cross team technical discussions is a plus - Experience working with AI and security products ...
... :With the increasing trend of multi-cloud strategies, this role extends to migrating workloads from competing cloud providers to Azure. This requires:1. Cross-Cloud Understanding: Knowledge of fundamental services and architectural patterns in other major cloud platforms (e.g., AWS EC2/VPC, GCP Compute Engine/VPC).2. Tooling ...
... applications. - Strong expertise in database performance tuning, capacity planning, troubleshooting, backup, restore, and disaster recovery. - Experience with cloud database platforms, preferably AWS. - Proficiency in Python, Bash, or similar scripting languages for automation. Experience with MongoDB, Redis, Cassandra, ...
... architectures and cloud governance. - Hands-on experience implementing observability solutions and troubleshooting distributed systems. - Exposure to AI/ML frameworks or cloud AI services is an added advantage - Strong experience with cloud platforms including AWS, Azure, or Google Cloud Platform (GCP). - Hands-on expertise in Docker, ...
... Adept at integrating with 3rd party API's and tools. - Experience in Kafka or other Realtime Messaging platform would be added advantage. - Experience with a cloud platform: AWS, Google Cloud, etc. - Superior problem-solving skills and debugging capabilities. - Flexible and self driven with a collaborative approach to problem ...
... issues, choosing the right pragmatic solution for each problem Own key development tasks within a continuous integration and deployment environment Work with cloud infrastructure using a mix of services, containers, and virtual machines Conduct code reviews and contribute to improving engineering practices across the team ...
... Familiarity with low-code or hybrid development environments. Experience supporting interoperability across multiple systems or enterprise platforms. Familiarity with AWS or experience working in a broader multi-cloud enterprise environment. Experience with multi-cloud environments spanning Azure and AWS. Experience modernizing ...
... translate business requirements into technical specifications. - Troubleshoot, debug and resolve complex technical issues. - Mentor and guide junior software engineers, fostering a culture of continuous learning and improvement. - Contribute to OpenGov’s Engineering culture of innovation, leading-edge technology adoption ...
Role Overview :We are looking for a skilled Cloud Engineer / Cloud-Native Software Developer with strong expertise in Google Cloud Platform (GCP), cloud platform engineering, API development, automation, security, and cloud-native application https://jobeax.com/link/4QElQTNGM9HINvWI candidate will design and implement scalable ...
... https://jobeax.com/link/Yxv7jCTBi5XFCgVN a Senior DevOps Engineer, you will play a crucial role in supporting our enterprise customers by leveraging your expertise in Google Cloud Platform (GCP) / AWS / Azure, Private Cloud environments, Kubernetes, Docker, Jenkins, Prometheus, ELK, and more. Your ability to learn new technical domains ...
... coding assistants to improve engineering productivity, code quality, and development efficiency.Must-Have Skills & Experience :- 5+ years of experience in Data Engineering with strong technical leadership capabilities.- Strong expertise in Databricks, Snowflake, AWS, and/or Azure.- Hands-on experience building large-scale Data ...