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Principal Platform Engineer
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Bengaluru (Bangalore)
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10 - 15 yrs
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Best in industry
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Full time
Skills
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Python
AWS

Client is a Seattle, WA based intelligent Cloud Management Platform Company. Our customers use Client DAY2™ to instantly close the cloud skills gap, simplify CloudOps, and reduce the total cost of cloud operations up to 70%, all in just a few clicks.

 

By leveraging the AWS public cloud, AI, and ML, DAY2 ™ simplifies provisioning, security, compliance, cost optimization, and routine operations. DAY2™’s automation first, No-Code approach helps customers immediately derive deep insights and deliver intelligent Cloud Operations in just a few minutes. You can try the platform for free at https://Client .com


About the job

ABOUT THE OPPORTUNITY

Are you passionate about revolutionizing the world of cloud platforms and eager to make a lasting impact on the industry? Do you thrive on the challenge of crafting large-scale cloud services that further simplifies cloud adoption for other businesses? Are you driven to create impeccably designed APIs that will delight thousands of developers and turn them into loyal advocates? Or maybe you're excited by the prospect of engineering a near real-time, millisecond-latency event processing pipeline?

If you are a driven, innovative, and experienced Principal Platform Engineer who is passionate about cloud technologies and looking to make a significant impact, we want to hear from you. Apply today to join our growing team!

MontyCloud is seeking an experienced Principal Platform Engineer with extensive knowledge in SaaS platforms, AWS cloud, and a proven track record of building and shipping highly scalable SaaS platforms. The ideal candidate will have strong system architecture and design skills, as well as exceptional programming and platform development experience.


RESPONSIBILITIES

In this role you will,

  • Lead the design and implementation of our Cloud Management Platform, ensuring its scalability, reliability, and performance.
  • Collaborate with cross-functional teams to define system architecture, develop innovative solutions, and drive continuous improvements.
  • Utilize your expertise in AWS and other cloud technologies to build and maintain cloud-native components and services.
  • Serve as a technical mentor for the engineering team, fostering a culture of learning, collaboration, and innovation.
  • Drive the adoption of best practices, design patterns, and emerging technologies in the cloud domain.
  • Actively participate in code and design reviews, providing constructive feedback to team members.
  • Ensure the successful delivery of high-quality software by defining and implementing effective development processes and methodologies.
  • Communicate complex technical concepts effectively via well written technical documents and knowledge sessions to both technical and non-technical stakeholders.

QUALIFICATIONS

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 12-15 years of experience in software development, with a focus on SaaS platforms and AWS cloud technologies.
  • Proven experience in designing, building, and maintaining highly scalable, performant, and resilient systems.
  • Must have demonstrated expertise in serverless architecture, event-driven design, distributed systems, and event streams.
  • Must have demonstrated experience in designing, building and shipping low-latency and high performance APIs.
  • Must have hands-on experience building with services such as Kafka, Open Search/Elastic Search, AWS Kinesis, Azure Streams.
  • Strong programming skills in languages such as Python, Java, or Go.
  • Familiarity with containerization technologies, such as Docker and Kubernetes.
  • Experience working with infrastructure as code tools, such as Terraform or CloudFormation.
  • Excellent verbal and written communication skills, with the ability to articulate complex concepts to diverse audiences.
  • Demonstrated leadership experience, with the ability to inspire and motivate a team.
  • Experience in building AI/ML systems and familiarity with Large Language Models is nice to have.


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Subodh Popalwar
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