Senior DevOps Engineer

Job Title: Lead DevOps Engineer

Experience Required: 4 to 5 years in DevOps or related fields

Employment Type: Full-time

About the Role:

We are seeking a highly skilled and experienced Lead DevOps Engineer. This role will focus on driving the design, implementation, and optimization of our CI/CD pipelines, cloud infrastructure, and operational processes. As a Lead DevOps Engineer, you will play a pivotal role in enhancing the scalability, reliability, and security of our systems while mentoring a team of DevOps engineers to achieve operational excellence.

Key Responsibilities:

Infrastructure Management: Architect, deploy, and maintain scalable, secure, and resilient cloud infrastructure (e.g., AWS, Azure, or GCP).

CI/CD Pipelines: Design and optimize CI/CD pipelines, to improve development velocity and deployment quality.

Automation: Automate repetitive tasks and workflows, such as provisioning cloud resources, configuring servers, managing deployments, and implementing infrastructure as code (IaC) using tools like Terraform, CloudFormation, or Ansible.

Monitoring & Logging: Implement robust monitoring, alerting, and logging systems for enterprise and cloud-native environments using tools like Prometheus, Grafana, ELK Stack, NewRelic or Datadog.

Security: Ensure the infrastructure adheres to security best practices, including vulnerability assessments and incident response processes.

Collaboration: Work closely with development, QA, and IT teams to align DevOps strategies with project goals.

Mentorship: Lead, mentor, and train a team of DevOps engineers to foster growth and technical expertise.

Incident Management: Oversee production system reliability, including root cause analysis and performance tuning.

Required Skills & Qualifications:

Technical Expertise:

Strong proficiency in cloud platforms like AWS, Azure, or GCP.

Advanced knowledge of containerization technologies (e.g., Docker, Kubernetes).

Expertise in IaC tools such as Terraform, CloudFormation, or Pulumi.

Hands-on experience with CI/CD tools, particularly Bitbucket Pipelines, Jenkins, GitLab CI/CD, Github Actions or CircleCI.

Proficiency in scripting languages (e.g., Python, Bash, PowerShell).

Soft Skills:

Excellent communication and leadership skills.

Strong analytical and problem-solving abilities.

Proven ability to manage and lead a team effectively.

Experience:

4 years + of experience in DevOps or Site Reliability Engineering (SRE).

4+ years + in a leadership or team lead role, with proven experience managing distributed teams, mentoring team members, and driving cross-functional collaboration.

Strong understanding of microservices, APIs, and serverless architectures.

Nice to Have:

Certifications like AWS Certified Solutions Architect, Kubernetes Administrator, or similar.

Experience with GitOps tools such as ArgoCD or Flux.

Knowledge of compliance standards (e.g., GDPR, SOC 2, ISO 27001).

Perks & Benefits:

Competitive salary and performance bonuses.

Comprehensive health insurance for you and your family.

Professional development opportunities and certifications, including sponsored certifications and access to training programs to help you grow your skills and expertise.

Flexible working hours and remote work options.

Collaborative and inclusive work culture.

Join us to build and scale world-class systems that empower innovation and deliver exceptional user experiences.

You can directly contact us: Nine three one six one two zero one three two

We are looking for a skilled DevOps Engineer with hands-on experience in cloud platforms, CI/CD pipelines, container orchestration, and infrastructure automation. The ideal candidate is someone who loves solving reliability challenges, automating everything, and ensuring seamless delivery across environments.

Key Responsibilities

• Design, implement, and maintain CI/CD pipelines using GitHub Actions, Jenkins, and GitHub.
• Manage and optimize infrastructure on AWS/GCP, ensuring scalability, security, and high availability.
• Deploy and manage containerized applications using Docker and Kubernetes.
• Build, automate, and manage infrastructure as code using Terraform.
• Configure and manage automation tools and workflows using Ansible.
• Monitor system performance, troubleshoot production issues, and ensure smooth operations.
• Implement best practices for code management, release processes, and DevOps standards.
• Collaborate closely with development teams to improve build pipelines and deployment workflows.
• Write scripts in Python/Bash to automate operational tasks.

Required Skills & Experience

• 2+ years of hands-on experience as a DevOps Engineer or in a similar role.
• Strong expertise in AWS or GCP cloud services.
• Solid understanding of Kubernetes (deployment, scaling, service mesh, packaging).
• Proficiency with Terraform for infrastructure automation.
• Experience with Git, GitHub, and GitHub Actions for source control and CI/CD.
• Good knowledge of Jenkins pipelines and automation.
• Hands-on experience with Ansible for configuration management.
• Strong scripting skills using Python or Bash.
• Understanding of monitoring, logging, and security best practices.

Objectives of this role

•Building and implementing new development tools and infrastructure

•Understanding the needs of stakeholders and conveying them to developers

•Working on ways to automate and improve development and release processes

•Testing and examining code written by others and analysing results

•Ensuring that systems are safe and secure against cybersecurity threats

•Identifying technical problems and developing software updates and fixes

•Working with software developers and software engineers to ensure that development follows established processes and works as intended

•Planning projects and being involved in project management decisions

Responsibilities:

• Set up CI/CD pipelines for automated deployment and delivery

•Setup and management of new and Existing cloud-based Kubernetes cluster services

•Write Ad/Hoc Bash/Python scripts to automate certain operational tasks.

•Designing, maintenance and management of tools for automation of different operational processes.

•Provision of critical system security by leveraging best practices and prolific cloud security solutions.

•System troubleshooting and problem resolution across various application domains and platforms

•Support/maintain development, UAT and production infrastructure.

•Providing recommendations for architecture and process improvements.

•Respond to L2 calls and emails.

•Help administer monitoring systems, alerting, log management, and other IT infrastructure systems.

•Perform root cause analysis of production errors and resolve technical issues

•Design procedures for system troubleshooting and maintenance

Technical Skill Requirements:

•Experience in a DevOps role in AWS/OCI cloud environment.

•Must have experience with CI/CD Pipelines and hands-on experience with DevOps tools such as, Jenkins, Git, Docker, Kubernetes, Ansible, etc.

•Strong knowledge in Terraform for multi-stack cloud infrastructure provisioning.

•Strong knowledge in OCI/AWS-based Kubernetes service management.

•Must have experience with Python/Bash as a scripting language.

•Good knowledge in software debugging, web applications and services (Apache, Nginx, HAProxy)

•Must have knowledge in monitoring setup with Prometheus, Alertmanager, Grafana, Thanos, Loki, Fluentbit, etc.

Good To Have Skills

•PostgreSQL, MySQL, MongoDB, Redis, Keycloak.

•Migrating application from one cloud to another; OCI certifications

•Test Driven Development

Soft Skill Requirements:

•Able to learn new skills and technology quickly.

•Energetic with amazing customer service skills and a team-oriented approach.

•Strong verbal and written communication skills

Requirements

• 3+ years work experience writing clean production code
• Well versed with maintaining infrastructure as code (Terraform, Cloudformation etc). High proficiency with Terraform / Terragrunt is absolutely critical
• Experience of setting CI/CD pipelines from scratch
• Experience with AWS(EC2, ECS, RDS, Elastic Cache etc), AWS lambda, Kubernetes, Docker, ServiceMesh
• Experience with ETL pipelines, Bigdata infra
• Understanding of common security issues

Roles / Responsibilities:

• Write terraform modules for deploying different component of infrastructure in AWS like Kubernetes, RDS, Prometheus, Grafana, Static Website
• Configure networking, autoscaling. continuous deployment, security and multiple environments
• Make sure the infrastructure is SOC2, ISO 27001 and HIPAA compliant
• Automate all the steps to provide a seamless experience to developers.

General Description:

Owns all technical aspects of software development for assigned applications.

Participates in the design and development of systems & application programs.

Functions as Senior member of an agile team and helps drive consistent development practices – tools, common components, and documentation.

Required Skills:

In depth experience configuring and administering EKS clusters in AWS.

In depth experience in configuring **DataDog** in AWS environments especially in **EKS**

In depth understanding of OpenTelemetry and configuration of **OpenTelemetry Collectors**

In depth knowledge of observability concepts and strong troubleshooting experience.

Experience in implementing comprehensive monitoring and logging solutions in AWS using **CloudWatch**.

Experience in **Terraform** and Infrastructure as code.

Experience in **Helm**

Strong scripting skills in Shell and/or python.

Experience with large-scale distributed systems and architecture knowledge (Linux/UNIX and Windows operating systems, networking, storage) in a cloud computing or traditional IT infrastructure environment.

Must have a good understanding of cloud concepts (Storage /compute/network).

Experience in Collaborating with several cross functional teams to architect observability pipelines for various GCP services like GKE, cloud run Big Query etc.

Experience with Git and GitHub.

Proficient in developing and maintaining technical documentation, ADRs, and runbooks.

Key Responsibilities:-

• Collaborate with Data Scientists to test and scale new algorithms through pilots and later industrialize the solutions at scale to the comprehensive fashion network of the Group

• Influence, build and maintain the large-scale data infrastructure required for the AI projects, and integrate with external IT infrastructure/service to provide an e2e solution

• Leverage an understanding of software architecture and software design patterns to write scalable, maintainable, well-designed and future-proof code

• Design, develop and maintain the framework for the analytical pipeline

• Develop common components to address pain points in machine learning projects, like model lifecycle management, feature store and data quality evaluation

• Provide input and help implement framework and tools to improve data quality

• Work in cross-functional agile teams of highly skilled software/machine learning engineers, data scientists, designers, product managers and others to build the AI ecosystem within the Group

• Deliver on time, demonstrating a strong commitment to deliver on the team mission and agreed backlog

Your skills and experience should cover:

• 5+ years of experience with developing, deploying, and debugging solutions on the AWS platform using ALL AWS services such as S3, IAM, Lambda, API Gateway, RDS, Cognito, Cloudtrail, CodePipeline, Cloud Formation, Cloudwatch and WAF (Web Application Firewall).

• Amazon Web Services (AWS) Certified Developer: Associate, is required; Amazon Web Services (AWS) DevOps Engineer: Professional, preferred.

• 5+ years of experience using one or more modern programming languages (Python, Node.js).

• Hands-on experience migrating data to the AWS cloud platform

• Experience with Scrum/Agile methodology.

• Good understanding of core AWS services, uses, and basic AWS architecture best practices (including security and scalability)

• Experience with AWS Data Storage Tools.

• Experience in Configure and implement AWS tools such as CloudWatch, CloudTrail and direct system logs for monitoring.

• Experience working with GIT, or similar tools.

• Ability to communicate and represent AWS Recommendations and Standards.

The following areas are highly advantageous:

• Experience with Docker

• Experience with PostgreSQL database