Senior Engineer

Trinity Life Sciences; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Trinity Life Sciences teams in Bengaluru are seeking an experienced Platform & Data Integration Engineer to drive cloud-based integration workloads and middleware implementations across enterprise applications.

The role requires 4–5 years of hands-on experience with frameworks like Camel, Spring Integration, Mule ESB, or Talend, plus strong scripting and data governance awareness. You will collaborate with engineering, data, and business teams to deliver scalable solutions.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 4–5 years of hands‑on experience in system integration, platform engineering, cloud‑based application support, or data integration.
• Familiarity with enterprise integration frameworks such as Apache Camel, Spring Integration, Mule ESB, or Talend.
• Understanding of integration patterns including APIs, messaging, batch processing and streaming concepts.
• Experience supporting and implementing system integrations across enterprise applications and platforms.
• Ability to analyze source systems, contribute to data mapping, and maintain technical or metadata documentation.
• Familiarity with data governance and data quality concepts, including validation, standards and metadata practices.
• Exposure to cloud platforms such as AWS, Azure, or GCP, including supporting workloads in cloud environments.
• Working knowledge of containerization and orchestration technologies such as Docker and Kubernetes.
• Familiarity with CI/CD pipelines and tools such as GitHub Actions, Jenkins, or Azure DevOps.
• Proficiency in scripting or automation using Python, Bash, PowerShell, or similar languages.
• Working knowledge of relational databases such as PostgreSQL, MySQL, or SQL Server.
• Understanding of system scalability, performance, and reliability in distributed environments.
• Ability to document technical designs, system flows, deployment approaches, and business or technical requirements.
• Experience supporting deployments, troubleshooting issues, and contributing to performance improvements.
• Strong collaboration and communication skills, with the ability to work across engineering, platform, data, and business teams.

Skills

Communication

Team collaboration

Analytical thinking

Scripting (Python, Bash)

Education

Bachelor’s degree in Computer Science/IT

Tools

Apache Camel

Spring Integration

Mule ESB

Talend

AWS

Azure

Docker

Kubernetes (EKS)

GitHub Actions

Jenkins

Job description

Technologies:

• Cloud: AWS, Azure (data integration workloads, cloud-native services)
• Integration Frameworks: Apache Camel (preferred), Spring Integration, Mule ESB, Talend
• Data Integration: ETL/ELT, batch processing, streaming, messaging systems (e.g., Kafka, JMS)
• Containerization & Orchestration: Docker, Kubernetes (EKS), Helm
• Infrastructure as Code: Kubernetes manifests (YAML), Kustomize, Helm charts
• API & Interoperability: REST APIs, data exchange patterns
• Version Control Tool: GitHub
• CI/CD: GitHub Actions, Azure DevOps, Jenkins
• Programming Languages: Java, Python, Groovy, Shell scripting
• Database Systems: PostgreSQL, MySQL, SQL Server
• Data Governance & Quality: Metadata management, data validation, data quality frameworks

What We Are Looking For

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 4–5 years of hands‑on experience in system integration, platform engineering, cloud‑based application support, or data integration.
• Familiarity with any one of the enterprise integration frameworks such as Apache Camel,
• Spring Integration, Mule ESB, or Talend.
• Working understanding of integration patterns including APIs, messaging, batch processing and streaming concepts.
• Experience supporting and implementing system integrations across enterprise applications and platforms.
• Ability to analyze source systems, contribute to data mapping, and maintain technical or metadata documentation.
• Familiarity with data governance and data quality concepts, including validation, standards and metadata practices.
• Exposure to cloud platforms such as AWS, Azure, or GCP, including supporting application or integration workloads in cloud environments.
• Working knowledge of containerization and orchestration technologies such as Docker and Kubernetes.
• Familiarity with CI/CD pipelines and tools such as GitHub Actions, Jenkins, or Azure DevOps.
• Proficiency in scripting or automation using Python, Bash, PowerShell, or similar languages.
• Working knowledge of relational databases such as PostgreSQL, MySQL, or SQL Server.
• Understanding of system scalability, performance, and reliability in distributed environments.
• Ability to document technical designs, system flows, deployment approaches, and business or technical requirements.
• Experience supporting deployments, troubleshooting technical issues, and contributing to performance improvements.
• Strong collaboration and communication skills, with the ability to work across engineering, platform, data, and business teams.
• Detail‑oriented with the ability to manage multiple technical tasks and deliver within defined timelines.