Job Title: GCP Cloud Engineer/Lead
Location: Pune, Balewadi
Shift / Time Zone: 1:30 PM – 10:30 PM IST (3:00 AM – 12:00 PM EST, 3–4 hours overlap with US Eastern Time)
Role Summary
We are seeking an experienced GCP Cloud Engineer to join our team supporting CVS. The ideal candidate will have a strong background in Google Cloud Platform (GCP) architecture, automation, microservices, and Kubernetes, along with the ability to translate business strategy into actionable technical initiatives. This role requires a blend of hands-on technical expertise, cross-functional collaboration, and customer engagement to ensure scalable and secure cloud solutions.
Key Responsibilities
- Design, implement, and manage cloud infrastructure on Google Cloud Platform (GCP) leveraging best practices for scalability, performance, and cost efficiency.
- Develop and maintain microservices-based architectures and containerized deployments using Kubernetes and related technologies.
- Evaluate and recommend new tools, services, and architectures that align with enterprise cloud strategies.
- Collaborate closely with Infrastructure Engineering Leadership to translate long-term customer strategies into actionable enablement plans, onboarding frameworks, and proactive support programs.
- Act as a bridge between customers, Product Management, and Engineering teams, translating business needs into technical requirements and providing strategic feedback to influence product direction.
- Identify and mitigate technical risks and roadblocks in collaboration with executive stakeholders and engineering teams.
- Advocate for customer needs within the engineering organization to enhance adoption, performance, and cost optimization.
- Contribute to the development of Customer Success methodologies and mentor other engineers in best practices.
Must-Have Skills
- 8+ years of total experience, with 5+ years specifically as a GCP Cloud Engineer.
- Deep expertise in Google Cloud Platform (GCP) — including Compute Engine, Cloud Storage, Networking, IAM, and Cloud Functions.
- Strong experience in microservices-based architecture and Kubernetes container orchestration.
- Hands-on experience with infrastructure automation tools (Terraform, Ansible, or similar).
- Proven ability to design, automate, and optimize CI/CD pipelines for cloud workloads.
- Excellent problem-solving, communication, and collaboration skills.
- GCP Professional Certification (Cloud Architect / DevOps Engineer / Cloud Engineer) preferred or in progress.
- Ability to multitask effectively in a fast-paced, dynamic environment with shifting priorities.
Good-to-Have Skills
- Experience with Cloud Monitoring, Logging, and Security best practices in GCP.
- Exposure to DevOps tools (Jenkins, GitHub Actions, ArgoCD, or similar).
- Familiarity with multi-cloud or hybrid-cloud environments.
- Knowledge of Python, Go, or Shell scripting for automation and infrastructure management.
- Understanding of network design, VPC architecture, and service mesh (Istio/Anthos).
- Experience working with enterprise-scale customers and cross-functional product teams.
- Strong presentation and stakeholder communication skills, particularly with executive audiences.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Reliable Group
About
Let's make AI work for your business. Reliable Group specializes in assembling skilled engineering teams proficient in AI, ML, as well as traditional tech stacks to deliver results in your AI-driven initiatives. At Reliable Group, we understand that the success of your AI and ML endeavors hinges on having the right team with the right expertise. With decades of experience in custom software solutions and a deep understanding of AI technologies, we ensure that your AI aspirations become tangible, efficient solutions that meet your deadlines. Why Choose Reliable Group? Expert Engineering Talent: Our carefully curated teams of AI and ML specialists are equipped with the skills and knowledge to tackle complex challenges and deliver exceptional results. Efficiency & Productivity: We assess the timelines and human talent required to achieve your deadlines and keep track along the way. Achieving Results with Confidence: We have a track record of delivering projects exactly as you envisioned them, without compromise. Dynamic Solutions: AI is changing rapidly and what was relevant yesterday may be obsolete today. We have decades of experience in machine learning and AI models to assess and implement dynamic systems for your specific needs. Ready to turn your AI questions into business-proven answers? Connect with us to explore how our team can help you meet your AI goals.
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