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Mid-level metro role with some company brand but specialized GCP/Dataflow skills, moderate applicant density.
Role requires specialized GCP, streaming and data-processing expertise, limiting cross-industry transferability.
Many mandatory stack requirements (GCP Dataflow/Beam, BigQuery, Kafka, Terraform, Kubernetes, CI/CD) and explicit years.
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Develop, maintain, and support scalable distributed software systems with focus on application modernization and code quality.
Collaborate across teams to design and implement software solutions using GCP services and incorporate AI/ML or Generative AI.
Identify opportunities for continuous improvement including optimization, refactoring, and tech debt reduction.
5–8 years of software engineering and application development experience.
Strong programming skills in Python and hands-on experience with Google Cloud Platform services (BigQuery, Cloud Run, Pub/Sub).
Experience with GCP Dataflow/Apache Beam, Terraform/IaC, Kubernetes (GKE), Kafka or similar streaming platforms.
Familiarity with data lake/warehouse architecture, observability frameworks, CI/CD (preferably Harness), containerization (Docker), and microservices design.
Experienced developer with deep expertise in GCP ecosystems and distributed event-driven architectures.
Ability to operate in Agile/Scrum environments and collaborate cross-functionally with SMEs and teams.
Demonstrates ownership mindset with proactive approach toward problem-solving, continuous learning, and driving improvement initiatives.