Senior Project Lead

Job Summary

Job Title: Senior DevOps Engineer

Location: Hyderabad

Employment Type: Full-Time

Experience Level: 7+ years in DevOps or related engineering roles

About the Role:

We are seeking a highly skilled Senior DevOps Engineer to join our engineering team. The ideal candidate will have hands-on experience designing, implementing, and maintaining CI/CD pipelines, infrastructure as code, observability tools, and deployment strategies in cloud-native environments. You will play a critical role in driving automation, reliability, and scalability across our platforms.

Key Responsibilities:

• Design and maintain robust CI/CD pipelines using GitLab CI and Spinnaker to support agile development and continuous delivery.
• Manage and optimize containerized applications on Kubernetes, preferably Amazon EKS.
• Implement Infrastructure as Code using Terraform and Ansible to provision and manage cloud environments in AWS.
• Ensure observability and monitoring using tools like Dynatrace, CloudWatch, Logstash, and OpenSearch.
• Support streaming and messaging systems using Kafka.
• Develop and maintain scripts and automation tools using Python and Bash.
• Manage both RDBMS and NoSQL databases for application support and performance tuning.
• Implement and manage API Gateways and secure integrations between microservices.
• Plan and execute Disaster Recovery (DR) strategies and support deployment methodologies like Blue-Green and Canary.
• Collaborate with development and QA teams to ensure a seamless integration and deployment experience.
• Participate in on-call rotations and incident response to ensure system uptime and reliability.

Required Skills & Experience:

• Strong hands-on experience with CI/CD tools (GitLab CI, Spinnaker).
• Deep understanding of Kubernetes and EKS for container orchestration.
• Expertise in AWS cloud infrastructure services.
• Proficiency in Terraform, Ansible, and infrastructure automation.
• Strong knowledge of monitoring/logging tools (Dynatrace, CloudWatch, Logstash, OpenSearch).
• Experience with Kafka in a production environment.
• Proficiency in Python and Bash scripting.
• Hands-on experience with relational (RDBMS) and NoSQL databases.
• Familiarity with API Gateways and microservice architecture.
• Experience implementing Blue-Green and Canary deployment strategies.
• Understanding of Disaster Recovery (DR) planning and execution.

Preferred Qualifications:

• AWS certifications (e.g., Solutions Architect, DevOps Engineer).
• Experience in highly regulated or high-availability environments.
• Exposure to Agile/Scrum development environments.
• Strong communication and collaboration skills.

DevOps Lead Engineer Job Description:

Detailed JD:

• Strong hands-on on AWS Cloud Infra setup & Services: API Gateway, IAM,EKS, ECS, S3, Lambda, CDK and configuration for logging & monitoring
• Setting up and managing CI/CD pipelines [GitLab based]
• Use of monitoring tools for monitoring performance and incident reporting - Dynatrace, Spinnaker, Splunk
• Venafi:
• Managing and automating the lifecycle of digital certificates using Venafi.
• Integrating Venafi with other DevOps tools and platforms.
• Ensuring the security and compliance of certificate management processes.
• Troubleshooting and resolving certificate-related issues.
• Kafka: Maintaining Kafka clusters, including configuration, monitoring, and troubleshooting.
• Strong analytical and problem-solving skills
• Self-Starter and excellent communication skills
• Handling and Coordinating Dev/UAT/ Prod deployments

Required Skills:

Name of skill

Mandatory/Good to have

AWS Services: ECS/EKS, API Gateway, IAM, S3, Lambda, AWS CDK

Mandatory

EKS, ECS configuration and monitoring

Mandatory

AWS Lambda/serverless service programming using Typescript/Python

Mandatory

Setting up and managing CI/CD pipelines [Manual & IaC]

Mandatory

Terraform

Mandatory

monitoring tools for monitoring performance and incident reporting - Dynatrace, Spinnanker, Splunk

Mandatory

Pulumi

Good to have

Typescript

Key Responsibilities

• Design and maintain robust CI/CD pipelines using GitLab CI and Spinnaker to support agile development and continuous delivery.
• Manage and optimize containerized applications on Kubernetes, preferably Amazon EKS.
• Implement Infrastructure as Code using Terraform and Ansible to provision and manage cloud environments in AWS.
• Ensure observability and monitoring using tools like Dynatrace, CloudWatch, Logstash, and OpenSearch.
• Support streaming and messaging systems using Kafka.
• Develop and maintain scripts and automation tools using Python and Bash.
• Manage both RDBMS and NoSQL databases for application support and performance tuning.
• Implement and manage API Gateways and secure integrations between microservices.
• Plan and execute Disaster Recovery (DR) strategies and support deployment methodologies like Blue-Green and Canary.
• Collaborate with development and QA teams to ensure a seamless integration and deployment experience.
• Participate in on-call rotations and incident response to ensure system uptime and reliability.

Skill Requirements

• Strong hands-on experience with CI/CD tools (GitLab CI, Spinnaker).
• Deep understanding of Kubernetes and EKS for container orchestration.
• Expertise in AWS cloud infrastructure services.
• Proficiency in Terraform, Ansible, and infrastructure automation.
• Strong knowledge of monitoring/logging tools (Dynatrace, CloudWatch, Logstash, OpenSearch).
• Experience with Kafka in a production environment.
• Proficiency in Python and Bash scripting.
• Hands-on experience with relational (RDBMS) and NoSQL databases.
• Familiarity with API Gateways and microservice architecture.
• Experience implementing Blue-Green and Canary deployment strategies.
• Understanding of Disaster Recovery (DR) planning and execution.

Other Requirements

• AWS certifications (e.g., Solutions Architect, DevOps Engineer).
• Experience in highly regulated or high-availability environments.
• Exposure to Agile/Scrum development environments.
• Strong communication and collaboration skills.