Live opening · Posted 23 hours ago

Senior GCP Cloud Engineer (R-19695)

Dun & Bradstreet · Hyderabad, Telangana, India (Hybrid)
Linkedin No
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At a glance

The key details from the original listing.

Posted 23 hours ago
CompanyDun & Bradstreet
LocationHyderabad, Telangana, India (Hybrid)
Work modeNo
SourceLinkedin
Listed23 hours ago

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About the role

Description supplied by the original job listing.

Shape the Future with Dun & Bradstreet
At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers.
We are seeking a highly motivated and skilled Software Engineer with strong expertise in Python and Google Cloud Platform (GCP) to design and build scalable, cloud-native applications. The ideal candidate will have experience in developing distributed, event-driven systems and modern data platforms, with a focus on performance, reliability, and automation.
This role involves working closely with cross-functional teams across Cloud, Data, and Platform Engineering to deliver high-impact solutions supporting enterprise-scale systems.
Key Responsibilities:
Develop scalable, distributed software systems and work on other projects that require research, awareness, interactivity and the ability to ask the right questions.
Design, develop, debug, support, maintain and test software applications. Work closely with other teams across a wide breadth of applications and solutions.
Assist SME in providing consultation to help ensure new and existing software solutions are developed with insight into industry best practices, strategies, and architectures; and pursue professional growth.
Help improve code quality through writing unit tests, automation and performing code reviews. Identify, plan and ensure successful incremental execution of application modernization, re-platform and refactoring efforts.
Recognize opportunities for continuous improvement to a technology solution whether it’s optimizing the performance of the system or identifying tech debt.
Key Requirements:
Experience with GCP Dataflow / Apache Beam
Familiarity with Terraform or Infrastructure as Code (IaC)
Exposure to Kubernetes (GKE)
Experience with data lake / data warehouse architecture
Knowledge of observability and monitoring frameworks
Experience working in Agile/Scrum delivery models
Experience integrating AI/ML or Generative AI solutions into application
5–8 years of experience in software engineering and application development
Strong programming expertise in Python
Hands-on experience with Google Cloud Platform (GCP) services, including: BigQuery Cloud Run Pub/Sub
Experience with Kafka or similar streaming platforms
Solid understanding of distributed systems and event-driven architecture
Experience with CI/CD tools, preferably Harness
Experience with containerization (Docker) and microservices-based design
Strong analytical, troubleshooting, and problem-solving skills
Show an ownership mindset in everything you do; be a problem solver, be curious and be inspired to take action, be proactive, seek ways to collaborate and connect with people and teams in support of driving success.
Continuous growth mindset, keep learning through social experiences and relationships with stakeholders, experts, colleagues and mentors as well as widen and broaden your competencies through structural courses and programs.
Where applicable, fluency in English and languages relevant to the working market.
This position internally titled as Senior Software Engineer
All Dun & Bradstreet job postings can be found at https://jobs.lever.co/dnb. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.
Notice to Applicants: Please be advised that this job posting page is hosted and powered by Lever, a subsidiary of Employ Inc. Your use of this page is subject to Employ's Privacy Notice and Cookie Policy, which governs the processing of visitor data on this platform.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please visit https://bit.ly/3LMn4CQ.

Work arrangement
No

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