Jobs › Companies › Weekday AI › Senior Engineer Platform Engineering GCP

Sobre esta vaga de Senior Engineer Platform Engineering GCP na Weekday AI

Weekday AI · Presencial · Bengaluru, Karnataka, India

This role is for one of Weekday’s clients
Salary range: Rs 100000 - Rs 2000000 (ie INR 1 - 20 LPA)


Min Experience: 6+ years
Location: Bangalore
JobType: full-time

We are looking for an experienced Senior Engineer – Platform Engineering (GCP) to take ownership of developing, maintaining, and enhancing cloud management platform modules. The ideal candidate will have strong expertise in Python, Golang, Google Cloud Platform (GCP), AWS, serverless development, and event-driven architecture.

This role involves designing scalable and reliable cloud-native applications, building advanced platform capabilities, solving complex technical challenges, and collaborating with cross-functional teams to deliver high-quality SaaS solutions.

Requirements

Key Responsibilities

  • Take end-to-end ownership of developing, maintaining, and enhancing specific modules of the cloud management platform, ensuring scalability, efficiency, and reliability.
  • Design and implement serverless applications and event-driven systems that integrate seamlessly with GCP and AWS services.
  • Work with cross-functional teams to conceptualise, design, and implement advanced platform features aligned with business objectives.
  • Apply expertise in cloud architecture and software development to provide technical guidance and engineering best practices.
  • Research emerging cloud technologies and incorporate relevant innovations into platform development.
  • Troubleshoot and resolve complex technical issues, providing advanced support to internal teams and external stakeholders.
  • Continuously improve platform performance, architecture, reliability, and operational efficiency.

Required Skills and Qualifications

  • Proven experience in serverless application development and event-driven architecture.
  • Experience developing and delivering high-quality SaaS platforms using GCP and AWS.
  • Strong understanding of cloud computing concepts and architectural best practices.
  • Hands-on expertise with GCP services, including:
    • Cloud Functions
    • Cloud Run
    • Cloud SQL
    • Firestore
    • Pub/Sub
    • API Gateway
  • Experience with AWS services, including:
    • AWS Lambda
    • Amazon RDS
    • DynamoDB
    • API Gateway
  • Strong programming knowledge of Python and Golang.
  • Solid understanding of Object-Oriented Programming (OOP) and SOLID principles.
  • Experience working with relational and NoSQL databases.
  • Proficiency in developing and integrating RESTful APIs.
  • Familiarity with Git and source control systems.
  • Strong problem-solving skills and the ability to optimise complex systems.
  • Excellent communication and collaboration skills, with the ability to engage effectively with technical teams and stakeholders.

Experience Requirements

  • 6+ years of relevant experience in platform or application development, with a strong focus on Python, Golang, GCP, and AWS.
  • 1+ year of experience developing applications using serverless architecture.
  • 1+ year of hands-on experience with Microservices Architecture in live projects.
  • 1+ year of experience applying Domain-Driven Design (DDD) principles.
  • 1+ year of experience implementing Event-Driven Architecture in real-world applications.
  • 1+ year of experience integrating, consuming, and maintaining GCP and AWS services.
  • 1+ year of experience working with Google Cloud Client Libraries and AWS Boto3 SDK using Python.

Must-Have Skills

  • Serverless Development
  • Event-Driven Architecture
  • Google Cloud Platform (GCP)
  • AWS Cloud Services
  • Python
  • Golang
  • Microservices Architecture
  • Domain-Driven Design
  • RESTful APIs

Good-to-Have Skills

  • Google Cloud Professional Cloud Architect Certification
  • Google Cloud Professional Cloud Developer Certification
  • AWS Certified Solutions Architect
  • AWS Certified Developer
  • Experience with Google Cloud Client Libraries and AWS Boto3 SDK.
  • Exposure to other cloud platforms such as Microsoft Azure.
  • Knowledge of containerisation and orchestration technologies, including Docker and Kubernetes.
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