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DevOps Engineer & Python Developer

We are seeking an experienced DevOps Engineer with strong Python development skills to join our team. In this role, you will be responsible for designing, implementing, and maintaining our cloud infrastructure, developing Python-based servers, and ensuring scalability across a multi-cloud environment. You will play a key role in developing scalable serverless solutions, automating deployment pipelines, and managing cloud environments (AWS, Azure, GCP). Working closely with both the development and operations teams, you will ensure the seamless integration, deployment, and maintenance of our SaaS platform with 99% uptime.

Key Responsibilities

  • Design, develop, and maintain Custom Built Serverless systems for high-volume traffic and real-time processing.

  • Architect, implement, and manage cloud infrastructure across AWS, Azure, and GCP for scalability and performance.

  • Implement and manage container orchestration systems such as Kubernetes and ECS, ensuring optimal performance across cloud environments.

  • Develop and maintain Infrastructure as Code (IaC) using tools like Terraform, CloudFormation, or Pulumi.

  • Experience with building Serverless services using Batch and Jobs.

  • Build, maintain, and optimize CI/CD pipelines for automated deployment and scaling of both serverless and containerized applications.

  • Implement robust monitoring, logging, and alerting systems to ensure high availability, fault tolerance, and disaster recovery.

  • Optimize cloud resource utilization for cost-effectiveness and performance improvements.

  • Collaborate with development teams to integrate and manage APIs, microservices, and databases (SQL/NoSQL) in scalable environments.

  • Ensure the security and compliance of our infrastructure and applications, applying cloud-native security best practices.

  • Troubleshoot and resolve complex issues in both development and production environments.

  • Stay current with industry trends and emerging technologies, especially in cloud, DevOps, and Python development.

  • Contribute to open-source projects and represent the company at industry events and conferences.

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field.

  • 3+ years of experience in DevOps, Cloud Engineering, or Python Development roles.

  • Expertise in cloud platforms (AWS, Azure, GCP), with strong knowledge of their services, particularly for serverless, compute, and storage solutions.

  • Proficient in Python development, with experience in building and maintaining Python servers and APIs.

  • Advanced understanding of containerization (Docker) and orchestration systems (Kubernetes).

  • Strong hands-on experience with Infrastructure as Code (Terraform, CloudFormation, Pulumi) and automation scripting.

  • Proficiency in building, managing, and optimizing CI/CD pipelines using tools such as Jenkins, GitLab CI, or GitHub Actions.

  • Familiarity with monitoring and observability tools (Prometheus, Grafana, ELK stack) for troubleshooting and system insights.

  • Solid understanding of cloud security, networking concepts, and security best practices in cloud environments.

  • Excellent problem-solving skills, attention to detail, and ability to thrive in a fast-paced environment.

Preferred Qualifications

  • Experience with multi-cloud management and migration strategies across AWS, Azure, and GCP.

  • Expertise in event-driven architectures, message queues, and serverless platforms (AWS Lambda, Google Cloud Functions, Azure Functions).

  • Familiarity with microservices architecture, distributed systems, and databases (SQL, NoSQL) in cloud environments.

  • Contributions to open-source projects related to cloud, DevOps, or Python development.

  • Relevant cloud certifications (AWS, Azure, GCP).

  • Experience in presenting at technology conferences or writing technical blogs.

What we offer:

  • Opportunity to work on and shape cutting-edge cloud and serverless technologies

  • A collaborative and innovative work environment that encourages creativity and pushes technological boundaries

  • Competitive salary and benefits package

  • Professional development and learning opportunities

  • Remote work options

  • Chance to contribute to the broader tech community through open-source contributions and conference presentations

Average salary estimate

$75000 / YEARLY (est.)
min
max
$60000K
$90000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About DevOps Engineer & Python Developer, AryaXAI

Are you a skilled DevOps Engineer and Python Developer looking for an exciting opportunity in Mumbai? Our vibrant team is searching for someone like you to help us design, implement, and maintain our cloud infrastructure while developing robust Python-based servers. In this pivotal role, you will work hand-in-hand with both our development and operations teams to ensure that our SaaS platform delivers a seamless experience with 99% uptime! You'll dive into creating scalable serverless solutions, automating deployment pipelines, and managing extensive cloud environments using AWS, Azure, and GCP. Your expertise will be key in architecting custom serverless systems that can handle high-volume traffic and real-time processing. Plus, with your knowledge in container orchestration systems like Kubernetes and ECS, you'll optimize performance and ensure our cloud infrastructure thrives. Join us if you're ready to enhance cloud resource utilization, implement effective monitoring systems, and contribute to our exciting projects! This role combines technical prowess with a collaborative culture where your ideas can truly shine.

Frequently Asked Questions (FAQs) for DevOps Engineer & Python Developer Role at AryaXAI
What are the core responsibilities of a DevOps Engineer & Python Developer at our company?

As a DevOps Engineer & Python Developer, you will be responsible for designing and maintaining custom serverless systems, managing cloud infrastructure across various platforms like AWS, Azure, and GCP, and optimizing CI/CD pipelines for automated deployments. Your role will also involve ensuring high availability, implementing monitoring and logging systems, and collaborating with development teams to integrate APIs and microservices.

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What qualifications are required for the DevOps Engineer & Python Developer position?

Candidates for the DevOps Engineer & Python Developer position should possess a Bachelor's degree in Computer Science or a related field along with at least 3 years of experience in DevOps, Cloud Engineering, or Python Development. Expertise in cloud platforms, Python development, containerization, and CI/CD tools is essential for success in this role.

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What technologies should a DevOps Engineer & Python Developer be familiar with?

As a DevOps Engineer & Python Developer, you should be proficient in AWS, Azure, and GCP cloud services, Python programming, and container orchestration systems like Kubernetes. Familiarity with Infrastructure as Code tools (e.g., Terraform), CI/CD pipeline optimization, and monitoring tools will be beneficial as well.

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How does this role contribute to the overall success of the team?

The DevOps Engineer & Python Developer role is crucial in enabling our team to deliver high-quality software efficiently. By developing scalable serverless solutions and automating deployment processes, you'll help minimize downtime and streamline workflows that directly impact our customers’ experience and satisfaction.

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Are there opportunities for professional development in the DevOps Engineer & Python Developer role?

Yes! We highly value continuous learning and professional growth. As a DevOps Engineer & Python Developer, you'll have access to numerous training resources, workshops, and the chance to contribute to open-source projects. Moreover, we encourage participation in industry events and conference presentations to bolster your expertise and network.

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Common Interview Questions for DevOps Engineer & Python Developer
Can you explain your experience with cloud infrastructure management?

In answering this question, highlight specific cloud platforms you've worked with, such as AWS, Azure, or GCP. Discuss how you managed resources, enhanced scalability, and implemented best practices for security and cost-efficiency. Use a concrete example that showcases your technical skills and problem-solving abilities.

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What is your approach to building an effective CI/CD pipeline?

Your response should cover the essential components of a CI/CD pipeline, such as version control, automated testing, and deployment strategies. Mention any specific tools you’ve used (like Jenkins or GitLab CI) and discuss how you ensured the efficiency and reliability of deployments.

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How do you handle monitoring and alerting in cloud environments?

Outline the monitoring and observability tools you have experience with, such as Grafana or Prometheus. Discuss how you've set up alerts for system performance, troubleshooting methods for issues, and optimizing infrastructure based on metric analysis.

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What experience do you have with serverless architectures?

Discuss your work with serverless platforms like AWS Lambda, Google Cloud Functions, or Azure Functions. Be specific about the projects you’ve completed, the languages and frameworks used, and how these architectures enhanced scalability and reduced operational overhead.

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Can you share an instance where you resolved a challenging technical issue?

Choose a specific challenging issue you've encountered, providing context along with the solution you implemented. Emphasize your troubleshooting process, the tools utilized, and the positive outcome resulting from your resolution.

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How do you ensure security best practices in cloud applications?

Discuss your familiarity with security measures, like IAM roles, encryption, and network security strategies in cloud environments. Highlight how you apply these practices during development and deployment to safeguard applications against vulnerabilities.

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Describe your experience with containerization technologies.

Talk about your experience using Docker for creating, managing, and deploying containerized applications. Include examples of how you've utilized Kubernetes or ECS for container orchestration and the benefits these technologies brought to your projects.

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What strategies do you use for optimizing cloud resource usage?

Outline strategies such as right-sizing instances, utilizing auto-scaling features, and implementing cost monitoring tools. Discuss how these strategies have led to cost savings and improved performance in your previous roles.

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How do you stay current with emerging technologies in DevOps?

Explain your methods for remaining updated with industry trends, like attending webinars, following tech blogs, or participating in forums. Mention any recent technologies you've adopted in your work and how they impacted your projects or workflow.

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Why do you want to work as a DevOps Engineer & Python Developer with us?

Tailor your answer based on the company's mission, culture, and the projects you admire. Highlight how your skills align with the role, your enthusiasm for collaboration, and the impact you hope to make as part of the team.

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EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
January 11, 2025

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