Senior Cloud Engineer - Remote - India

Pythian; United States; Remote; USD 80,000 - 130,000; Full time

Job summary

An established industry player seeks a skilled Cloud Engineer to lead and innovate in cloud solutions. In this dynamic role, you will build and maintain client relationships while providing technical leadership for various projects. Your expertise will guide the design and implementation of scalable and efficient solutions, ensuring smooth cloud migrations and optimal performance. If you thrive in a collaborative environment and are passionate about cloud technologies, this opportunity is perfect for you. Join a forward-thinking company that values innovation and offers a chance to make a significant impact in the tech landscape.

Qualifications

• Experience with cloud provider platforms, especially GCP, AWS, and Azure.
• Strong understanding of application performance and design best practices.

Responsibilities

• Build and maintain client relationships, providing technical leadership.
• Design and implement technical solutions for customer projects.

Skills

Cloud Engineering

Technical Leadership

CI/CD Pipelines

Infrastructure as Code

Programming (Go, Java, Python, Ruby, Rust)

Scripting (Bash, Groovy, JavaScript, Perl, PHP, PowerShell, R)

Configuration Management (Ansible, Chef, Puppet)

Containerization (Kubernetes, Helm)

Agile and DevOps Practices

Education

Bachelor's Degree in Computer Science or related field

Tools

Terraform

Google Cloud Platform

AWS

Microsoft Azure

Kubernetes

Jenkins

GitLab

Job description

Role & Responsibilities

• Build and maintain client relationships, providing technical leadership and guidance for current projects.
• Collaborate with stakeholders to understand business requirements, assist in project planning, and document project plans for both small and medium-sized projects.
• Participate in and support sprint planning activities with the Project Manager, including story point estimation and ceremonies such as standups, backlog grooming, and retrospectives.
• Design and implement technical solutions for customer projects, ensuring scalability and efficiency.
• Create or contribute to building technical design documents and other necessary documentation for projects.
• Write testable, high-performance, reliable, and maintainable code for CI/CD pipelines and infrastructure-as-code frameworks (e.g., Terraform, CloudFormation).
• Design and implement security and network software components for multi-cloud solutions and architectures.
• Research, evaluate, and recommend third-party software and technology packages based on project requirements. Provide performance optimization recommendations and document best practices.
• Create cloud migration strategies and plans, following best practices and ensuring smooth transitions to cloud architectures.
• Develop automated provisioning solutions for servers, environments, containers, and data centers.

Preferred Candidate Profile

• Experience with engineering solutions on major cloud provider platforms, preferably Google Cloud Platform (GCP), and one or both of Amazon Web Services (AWS) and Microsoft Azure.
• Hands-on experience with operating system platform configuration, tuning, and administration for Linux or Windows, with a preference for both.
• Strong understanding of application performance and design best practices to ensure applications and services are highly available, performant, scalable, and secure.
• High proficiency with open-source tools, including Hashicorp solutions such as Terraform, Packer, and Vault, along with other deployment frameworks like Pulumi.
• Proficiency in at least one popular programming language (e.g., Go, Java, Python, Ruby, Rust).
• Solid understanding of testing techniques and frameworks, including test and behavior-driven development, with experience in writing test suites, mocks, and fixtures.
• Capability to write scripts for maintenance, automation, and data processing using scripting languages such as Bash, Groovy, JavaScript, Perl, PHP, PowerShell, or R.
• Experience with common configuration management tools (e.g., Ansible, Chef, Puppet).
• Strong knowledge of automating deployment, scaling, and management of containerized applications, ideally with hands-on experience using Kubernetes and tools like Helm.
• Exposure to Anthos is a plus.
• Skilled in common CI/CD tools, patterns, and techniques, with familiarity in pipeline enablement products such as ArgoCD, Azure DevOps, Cloud Build, GitLab, or Jenkins.
• Understanding of development methods, workflows, and patterns, particularly Agile and DevOps practices.
• Experience with stream-processing platforms and services, such as Kafka and Cloud Pub/Sub.
• Solid understanding of data security principles, including encryption, access control, and identity management, and their technical application to enforce data custodianship and compliance.
• Experience with on-premise architectures and visualization applications such as vCenter.
• Experience in MLOps is a plus.