Sr. Devops Engineer

Review Criteria

• Strong DevOps /Cloud Engineer Profiles
• Must have 3+ years of experience as a DevOps / Cloud Engineer
• Must have strong expertise in cloud platforms – AWS / Azure / GCP (any one or more)
• Must have strong hands-on experience in Linux administration and system management
• Must have hands-on experience with containerization and orchestration tools such as Docker and Kubernetes
• Must have experience in building and optimizing CI/CD pipelines using tools like GitHub Actions, GitLab CI, or Jenkins
• Must have hands-on experience with Infrastructure-as-Code tools such as Terraform, Ansible, or CloudFormation
• Must be proficient in scripting languages such as Python or Bash for automation
• Must have experience with monitoring and alerting tools like Prometheus, Grafana, ELK, or CloudWatch
• Top tier Product-based company (B2B Enterprise SaaS preferred)

Preferred

• Experience in multi-tenant SaaS infrastructure scaling.
• Exposure to AI/ML pipeline deployments or iPaaS / reverse ETL connectors.

Role & Responsibilities

We are seeking a DevOps Engineer to design, build, and maintain scalable, secure, and resilient infrastructure for our SaaS platform and AI-driven products. The role will focus on cloud infrastructure, CI/CD pipelines, container orchestration, monitoring, and security automation, enabling rapid and reliable software delivery.

Key Responsibilities:

• Design, implement, and manage cloud-native infrastructure (AWS/Azure/GCP).
• Build and optimize CI/CD pipelines to support rapid release cycles.
• Manage containerization & orchestration (Docker, Kubernetes).
• Own infrastructure-as-code (Terraform, Ansible, CloudFormation).
• Set up and maintain monitoring & alerting frameworks (Prometheus, Grafana, ELK, etc.).
• Drive cloud security automation (IAM, SSL, secrets management).
• Partner with engineering teams to embed DevOps into SDLC.
• Troubleshoot production issues and drive incident response.
• Support multi-tenant SaaS scaling strategies.

Ideal Candidate

• 3–6 years' experience as DevOps/Cloud Engineer in SaaS or enterprise environments.
• Strong expertise in AWS, Azure, or GCP.
• Strong expertise in LINUX Administration.
• Hands-on with Kubernetes, Docker, CI/CD tools (GitHub Actions, GitLab, Jenkins).
• Proficient in Terraform/Ansible/CloudFormation.
• Strong scripting skills (Python, Bash).
• Experience with monitoring stacks (Prometheus, Grafana, ELK, CloudWatch).
• Strong grasp of cloud security best practices.

Position: DevOps Engineer / Senior DevOps Engineer

Experience: 3 to 6 Years

Key Skills: AWS, Terraform, Docker, Kubernetes, DevSecOps pipeline

Job Description:

• AWS Infrastructure: Architect, deploy, and manage AWS services like EC2, S3, RDS, Lambda, SageMaker, API Gateway, and VPC.
• Networking: Proficient in subnetting, endpoints, NACL, security groups, VPC flow logs, and routing.
• API Management: Design and manage secure, scalable APIs using AWS API Gateway.
• CI/CD Pipelines: Build and maintain CI/CD pipelines with AWS CodePipeline, CodeBuild, and CodeDeploy.
• Automation & IaC: Use Terraform and CloudFormation for automating infrastructure management.
• Containerization & Kubernetes: Expertise in Docker, Kubernetes, and managing containerized deployments.
• Monitoring & Logging: Implement monitoring with AWS CloudWatch, CloudTrail, and other tools.
• Security: Apply AWS security best practices using IAM, KMS, Secrets Manager, and GuardDuty.
• Cost Management: Monitor and optimize AWS usage and costs.
• Collaboration: Partner with development, QA, and operations teams to enhance productivity and system reliability.

• 3 - 6 years of software development, and operations experience deploying and maintaining multi-tiered infrastructure and applications at scale.
• Design cloud infrastructure that is secure, scalable, and highly available on AWS
• Experience managing any distributed NoSQL system (Kafka/Cassandra/etc.)
• Experience with Containers, Microservices, deployment and service orchestration using Kubernetes, EKS (preferred), AKS or GKE.
• Strong scripting language knowledge, such as Python, Shell
• Experience and a deep understanding of Kubernetes.
• Experience in Continuous Integration and Delivery.
• Work collaboratively with software engineers to define infrastructure and deployment requirements
• Provision, configure and maintain AWS cloud infrastructure
• Ensure configuration and compliance with configuration management tools
• Administer and troubleshoot Linux-based systems
• Troubleshoot problems across a wide array of services and functional areas
• Build and maintain operational tools for deployment, monitoring, and analysis of AWS infrastructure and systems
• Perform infrastructure cost analysis and optimization

• Strong Systems Experience- Linux, networking, cloud, APIs
• Scripting language Programming - Shell, Python
• Strong Debugging Capability
• AWS Platform -IAM, Network,EC2, Lambda, S3, CloudWatch
• Knowledge on Terraform, Packer, Ansible, Jenkins
• Observability - Prometheus, InfluxDB, Dynatrace,
• Grafana, Splunk • DevSecOps-CI/CD - Jenkins
• Microservices
• Security & Access Management
• Container Orchestration a plus - Kubernetes, Docker etc.
• Big Data Platforms knowledge EMR, Databricks. Cloudera a plus

BENEFITS: -

 Competitive salary and stock options -

 Premium medical benefits 

LOCATION: - Remote (India) 

EDUCATION AND EXPERIENCE - 

Degree in computer science, software engineering, or a related field - 

At least 3-5 years of professional work experience as a 

DevOps / test automation / deployment engineer -

 Experience in agile software development methodologies 

JOB RESPONSIBILITIES: -

 Design and development of scalable software test framework to automate test procedures - Perform health checks of existing sites periodically (manually and also developing a automation pipeline) - Manage per site software releases - 

Generate release notes, user guides, technical documentation -

 Perform upgrades/ downgrades (patch management) - 

Generate and Manage configurations - 

Suggest process improvements by interfacing with product owner - 

File process/installation/deployment related issues & tracking them - 

Verify customer-reported issues and translate them into technical tasks for development 

REQUIREMENTS:

 Following are must to have requirements, - 

Automation frameworks like Selenium etc. - 

Scripting languages like Perl, Python etc. - 

Linux systems - 

Version control system like git -

 Issue tracking system like Jira -

 Networking protocols -

 Cloud infrastructure - 

Ability to work individually and as part of a team with a sense of urgency -

 Excellent communication skills in written and verbal English - 

Great attention to detail 

PREFERRED: 

Following are good to have requirements, - 

Knowledge in any of the programming languages like C, C++ etc. 

Experience managing cloud-based (e.g., AWS, Google Cloud, etc.) and in-house server infrastructure - 

Familiarity with machine learning / artificial intelligence infrastructure - 

Experience in data visualization and statistics - 

Basic knowledge of hardware infrastructure containing routers, switches and others -

 Familiarity with web & data securityDesign and development of scalable software test framework to automate test 

Total Experience: 6 – 12 Years

Required Skills and Experience 

• 3+ years of relevant experience with DevOps tools Jenkins, Ansible, Chef etc
• 3+ years of experience in continuous integration/deployment and software tools development experience with Python and shell scripts etc
• Building and running Docker images and deployment on Amazon ECS
• Working with AWS services (EC2, S3, ELB, VPC, RDS, Cloudwatch, ECS, ECR, EKS)
• Knowledge and experience working with container technologies such as Docker and Amazon ECS, EKS, Kubernetes
• Experience with source code and configuration management tools such as Git, Bitbucket, and Maven
• Ability to work with and support Linux environments (Ubuntu, Amazon Linux, CentOS)
• Knowledge and experience in cloud orchestration tools such as AWS Cloudformation/Terraform etc
• Experience with implementing "infrastructure as code", “pipeline as code” and "security as code" to enable continuous integration and delivery
• Understanding of IAM, RBAC, NACLs, and KMS
• Good communication skills

Good to have:

• Strong understanding of security concepts, methodologies and apply them such as SSH, public key encryption, access credentials, certificates etc.
• Knowledge of database administration such as MongoDB.
• Knowledge of maintaining and using tools such as Jira, Bitbucket, Confluence.

Responsibilities

• Work with Leads and Architects in designing and implementation of technical infrastructure, platform, and tools to support modern best practices and facilitate the efficiency of our development teams through automation, CI/CD pipelines, and ease of access and performance.
• Establish and promote DevOps thinking, guidelines, best practices, and standards.
• Contribute to architectural discussions, Agile software development process improvement, and DevOps best practices.