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Senior Engineer

Trinitylifesciences · India - Bangalore

Mixed hiring record · median 54 days open

5353

Hiring signal

Stale

Open 77 days · How we score

All reasons
  • Open 77 days
  • 48% of this employer's openings are over 60 days old

In its favour

  • Still listed on the employer's own board

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Senior Engineer at Trinitylifesciences. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

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.

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