Cloud Engineer Temporal

About SIDGS:

SIDGS is a premium global systems integrator and global implementation partner of Google corporation, providing Digital Solutions & Services to Fortune 500 companies. Our Digital solutions go across following domains: User Experience, CMS, API Management, Microservices, DevOps, Cloud, Service Mesh, Artificial Intelligence, RPA domains.

We create innovative solutions in Digital, API Management, Cloud and DevOps space in partnership with multiple cloud platforms. We understand that every business has a unique set of challenges and opportunities, and we leverage our unique industry insights, honed through decades of combined experience in the technology sector, to deliver the products, solutions, and services necessary to achieve best customer satisfaction and delivering positive impact to the communities.

ob Title:

Experience:

Location:

Role Overview:

Cloud Engineer

Key Responsibilities:

• Design, develop, and maintain

  Temporal workflows

  to automate complex business processes.
• Integrate workflows with

  microservices

  and

  event-driven systems

  .
• Ensure

  scalability, reliability, and fault tolerance

  of workflow infrastructure.

• Monitor, debug, and optimize

  workflow executions for performance and cost efficiency.
• Develop and maintain

  best practices, templates, and reusable patterns

  for workflow design.
• Collaborate with application and DevOps teams to align workflows with overall system architecture.

Required Skills & Experience:

• 10+ years

  of experience in

  Cloud Engineering

  or related roles.
• Proven experience with

  Temporal

  ,

  Cadence

  , or similar workflow orchestration frameworks.
• Strong hands-on expertise in

  GCP

  and

  AWS

  services (compute, storage, networking, IAM, etc.).
• Experience working with

  event-driven architectures

  ,

  message queues

  (e.g., Pub/Sub, Kafka, SQS), and

  microservices

  .
• Solid understanding of

  distributed systems

  ,

  observability

  , and

  debugging

  complex workflows.
• Experience with

  CI/CD

  ,

  infrastructure as code

  , and

  containerization

  (Docker/Kubernetes) is a plus.