M
MASTER MIND CONSULTANCY
Software Integration Engineer
Skills
SQL QueriesDockerNodePythonC#.NETMicroservicesDatabricksSwagger/OpenAPIMachine LearningAIAnsibleGitHubKubernetesAzure
20 days ago
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Important information
Location:
Karnataka, India
Work mode:
Onsite
Published on:
14 October 2026
What they need
Job Title : Software Integration EngineerExperience : 5 to 7 YearsLocation : BengaluruRoles & Responsibilities
- Design, develop, deploy, and maintain enterprise integration solutions, REST APIs, microservices, and data pipelines.
- Build secure, scalable, and high-performance cloud-native applications using Microsoft Azure services.
- Integrate enterprise applications, engineering platforms, vendor systems, and data services.
- Implement CI/CD pipelines, automated deployments, infrastructure automation, and monitoring solutions.
- Work with Docker, Kubernetes, Azure API Management, Service Bus, Event Grid, and event-driven architectures.
- Integrate AI/ML and GenAI services into business workflows and engineering solutions.
- Troubleshoot complex integration, performance, and reliability issues.
- Collaborate with architects, product owners, data engineers, and business stakeholders on solution design.
- Follow software engineering best practices, coding standards, security policies, and architecture guidelines.
- Mentor team members and contribute to technical knowledge sharing.
Requisites
- Bachelor’s/Master’s degree in Computer Science, Engineering, or a related field.
- Strong experience in C#, .NET Core/.NET 8+, object-oriented programming, and full-stack development.
- Hands-on experience with Azure PaaS services, including Functions, App Services, Logic Apps, and API Management.
- Proficiency in Azure IaaS, ARM/Bicep, Ansible, YAML, Azure DevOps, and GitHub Actions.
- Strong understanding of software architecture and design patterns, including Repository, CQRS, and GoF.
- Experience with Azure Entra ID, Key Vault, OAuth, authentication, and authorization.
- Knowledge of REST APIs, OpenAPI, Angular, Node.js, Python, Azure SQL, and data integration.
- Experience with Docker, Kubernetes, distributed systems, and CI/CD pipelines.
- Strong problem-solving, analytical, communication, and stakeholder management skills.
- Ability to work independently, adapt to changing business requirements, and mentor team members.
Good to Have
- Experience with Databricks, Azure Synapse, and Azure Data Factory.
- Knowledge of Power Automate and AI/GenAI integration services.
- Familiarity with OSDU, WITSML, and oil and gas Wells domain.
- Experience with Peloton WellView APIs and data products, including WellHeader, Completions, Jobs, and Daily Reports.
- Prior experience in the oil and gas industry is preferred.
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