DevOps - Automation, Python

Company Overview:

Euphoric Thought Technologies is a technology-driven firm focused on building scalable software solutions and high-performance digital infrastructure. Operating at the intersection of cloud engineering and enterprise software, the company empowers businesses to streamline their operations through robust, automated, and secure platforms. With a culture rooted in technical excellence and collaborative problem-solving, Euphoric Thought Technologies supports a diverse range of clients in optimizing their digital footprint and accelerating their time-to-market.

Role Overview:

As a Senior DevOps Engineer, you will serve as a cornerstone of our engineering team in Bangalore, taking ownership of the end-to-end reliability and scalability of our cloud environments. You will work closely with software developers, product managers, and security teams to bridge the gap between code development and production deployment. Your daily efforts will directly influence the stability of our platforms, ensuring that our infrastructure is not only resilient but also highly automated to support rapid business growth and seamless user experiences.

Key Responsibilities:

- Architect and maintain highly available CI/CD pipelines to accelerate software delivery cycles and ensure consistent deployment quality across environments.

- Manage and scale containerized applications using Kubernetes and Docker to optimize resource utilization and application performance.

- Implement Infrastructure as Code (IaC) using Terraform to ensure environment consistency and enable rapid provisioning of cloud resources.

- Automate routine operational tasks and configuration management using Ansible and Python scripts to reduce manual overhead and human error.

- Monitor cloud infrastructure health and security posture within AWS to proactively identify and resolve bottlenecks or vulnerabilities.

- Collaborate with cross-functional teams to define and implement best practices for cloud-native development, ensuring high standards of security and operational excellence.

Required Skillset:

- Demonstrated expertise in managing large-scale cloud computing environments on AWS, with a deep understanding of cloud architecture and cost-optimization strategies.

- Proven ability to design and maintain complex CI/CD workflows using Jenkins, ensuring seamless integration and delivery for high-traffic applications.

- Strong proficiency in scripting and automation using Python, with a focus on building reusable tools that enhance team productivity.

- Exceptional problem-solving skills and the ability to troubleshoot complex production issues in a high-pressure, fast-paced environment.

- Strong interpersonal skills with the ability to communicate technical concepts clearly to both engineering and non-technical stakeholders.

- Ability to work effectively in a hybrid work environment, demonstrating self-discipline and a proactive approach to team collaboration.

- A minimum of 7 - 8 years of professional experience in DevOps and infrastructure engineering roles.

Job Responsibilities:

• Managing and maintaining the efficient functioning of containerized applications and systems within an organization
• Design, implement, and manage scalable Kubernetes clusters in cloud or on-premise environments
• Develop and maintain CI/CD pipelines to automate infrastructure and application deployments, and track all automation processes
• Implement workload automation using configuration management tools, as well as infrastructure as code (IaC) approaches for resource provisioning
• Monitor, troubleshoot, and optimize the performance of Kubernetes clusters and underlying cloud infrastructure
• Ensure high availability, security, and scalability of infrastructure through automation and best practices
• Establish and enforce cloud security standards, policies, and procedures Work agile technologies
• 
  

Primary Requirements:

• Kubernetes: Proven experience in managing Kubernetes clusters (min. 2-3 years)
• Linux/Unix: Proficiency in administering complex Linux infrastructures and services
• Infrastructure as Code: Hands-on experience with CM tools like Ansible, as well as the 
• knowledge of resource provisioning with Terraform or other Cloud-based utilities
• CI/CD Pipelines: Expertise in building and monitoring complex CI/CD pipelines to 
• manage the build, test, packaging, containerization and release processes of software
• Scripting & Automation: Strong scripting and process automation skills in Bash, Python
• Monitoring Tools: Experience with monitoring and logging tools (Prometheus, Grafana)
• Version Control: Proficient with Git and familiar with GitOps workflows.
• Security: Strong understanding of security best practices in cloud and containerized 
• environments.

Skills/Traits that would be an advantage:

• Kubernetes administration experience, including installation, configuration, and troubleshooting
• Kubernetes development experience
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Ability to work independently and as part of a team

Job Overview:

You will work in engineering and development teams to integrate and develop cloud solutions and virtualized deployment of software as a service product. This will require understanding the software system architecture function as well as performance and security requirements. The DevOps Engineer is also expected to have expertise in available cloud solutions and services, administration of virtual machine clusters, performance tuning and configuration of cloud computing resources, the configuration of security, scripting and automation of monitoring functions. This position requires the deployment and management of multiple virtual clusters and working with compliance organizations to support security audits. The design and selection of cloud computing solutions that are reliable, robust, extensible, and easy to migrate are also important.

Experience:

• Experience working on billing and budgets for a GCP project - MUST
• Experience working on optimizations on GCP based on vendor recommendations - NICE TO HAVE
• Experience in implementing the recommendations on GCP
• Architect Certifications on GCP - MUST
• Excellent communication skills (both verbal & written) - MUST
• Excellent documentation skills on processes and steps and instructions- MUST
• At least 2 years of experience on GCP.

Basic Qualifications:

• Bachelor’s/Master’s Degree in Engineering OR Equivalent.
• Extensive scripting or programming experience (Shell Script, Python).
• Extensive experience working with CI/CD (e.g. Jenkins).
• Extensive experience working with GCP, Azure, or Cloud Foundry.
• Experience working with databases (PostgreSQL, elastic search).
• Must have 2 years of minimum experience with GCP certification.

Benefits :

• Competitive salary.
• Work from anywhere.
• Learning and gaining experience rapidly.
• Reimbursement for basic working set up at home.
• Insurance (including top-up insurance for COVID).

Location :

Remote - work from anywhere.

Ideal joining preferences:
Immediate or 15 days

Bachelor's degree in Computer Science or a related field, or equivalent work experience

Strong understanding of cloud infrastructure and services, such as AWS, Azure, or Google Cloud Platform

Experience with infrastructure as code tools such as Terraform or CloudFormation

Proficiency in scripting languages such as Python, Bash, or PowerShell

Familiarity with DevOps methodologies and tools such as Git, Jenkins, or Ansible

Strong problem-solving and analytical skills

Excellent communication and collaboration skills

Ability to work independently and as part of a team

Willingness to learn new technologies and tools as required

• Hands-on knowledge on various CI-CD tools (Jenkins/TeamCity, Artifactory, UCD, Bitbucket/Github, SonarQube) including setting up of build-deployment automated pipelines.
• Very good knowledge in scripting tools and languages such as Shell, Perl or Python , YAML/Groovy, build tools such as Maven/Gradle.
• Hands-on knowledge in containerization and orchestration tools such as Docker, OpenShift and Kubernetes.
• Good knowledge in configuration management tools such as Ansible, Puppet/Chef and have worked on setting up of monitoring tools (Splunk/Geneos/New Relic/Elk).
•             Expertise in job schedulers/workload automation tools such as Control-M or AutoSys is good to have.
• Hands-on knowledge on Cloud technology (preferably GCP) including various computing services and infrastructure setup using Terraform.

• Should have basic understanding on networking, certificate management, Identity and Access Management and Information security/encryption concepts.
• •             Should support day-to-day tasks related to platform and environments upkeep such as upgrades, patching, migration and system/interfaces integration.
• •             Should have experience in working in Agile based SDLC delivery model, multi-task and support multiple systems/apps.
• •             Big-data and Hadoop ecosystem knowledge is good to have but not mandatory.

• Should have worked on standard release, change and incident management tools such as ServiceNow/Remedy or similar

DevOps 

Engineers : Min 3 to 5 Years 
Tech Leads : Min 6 to 10 Years 

• Implementing & supporting CI/CD/CT pipelines at scale.  
• Knowledge and experience using Chef, Puppet or Ansible automation to deploy and be able to manage Linux systems in production and CI environments.  
• Extensive experience with Shell scripts (bash).  
• Knowledge and practical experience of Jenkins for CI.  
• Experienced in build & release management.  
• Experience of deploying JVM based applications.  
• Enterprise AWS deployment with sound knowledge on AWS & AWS security.  
• Knowledge of encryption technologies: IPSec, SSL, SSH. 
• Minimum of 2 years of experience as a Linux Systems Engineer (CentOS/Red Hat) ideally supporting a highly-available, 24x7 production environments. 
• DNS providing and maintenance.  
• Helpful skills: Knowledge of applications relying on Maven, Ant, Gradle, Spring Boot.  
• Knowledge of app and server monitoring tools such as ELK/AppEngine. 
• Excellent written, oral communication and interpersonal skills. 

• Degree in Computer Science or related discipline.
• AWS Certified Solutions Architect certification required
• 5+ years of architecture, design, implementation, and support of highly complex solutions (i.e. having an architectural sense for ensuring security and compliance, availability, reliability, etc.)
• Deep technical experience in serverless AWS infrastructure
• Understanding of cloud automation and orchestration tools and techniques including git, terraform, ARM or equivalent
• Create Technical Design documents, understand technical designs and translate into the application requirements.
• Exercise independent judgment in evaluating alternative technical solutions
• Participate in code and design review process
• Write unit test cases for quality check of the deliverables
• Ability to work closely with others in a team environment as well as independently
• Proven ability to problem solve and troubleshoot
• Excellent verbal and written communication skills and the ability to interact professionally with a diverse group, executives, managers, and subject matter experts
• Excellent English communication skills are required

We are looking for a Solution Architect with at least 5 years’ experience working on the following to join our growing team:

• AWS
• Postgresql
• EC2 on AWS
• Cognito
• and most importantly Serverless

You will need a strong technical AWS background focused on architecting on serverless (eg Lambda) AWS infrastructure.