Devops Engineer

Job Title : Senior DevOps Engineer

Location : Remote

Experience Level : 5+ Years

Role Overview :

We are a funded AI startup seeking a Senior DevOps Engineer to design, implement, and maintain a secure, scalable, and efficient infrastructure. In this role, you will focus on automating operations, optimizing deployment processes, and enabling engineering teams to deliver high-quality products seamlessly.

Key Responsibilities:

Infrastructure Scalability & Reliability :

• Architect and manage cloud infrastructure on AWS, GCP, or Azure for high availability, reliability, and cost-efficiency.
• Implement container orchestration using Kubernetes or Docker Compose.
• Utilize Infrastructure as Code (IaC) tools like Pulumi or Terraform to manage and configure infrastructure.

Deployment Automation :

• Design and maintain CI/CD pipelines using GitHub Actions, Jenkins, or similar tools.
• Implement deployment strategies such as canary or blue-green deployments, and create rollback mechanisms to ensure seamless updates.

Monitoring & Observability :

• Leverage tools like OpenTelemetry, Grafana, and Datadog to monitor system health and performance.
• Establish centralized logging systems and create real-time dashboards for actionable insights.

Security & Compliance :

• Securely manage secrets using tools like HashiCorp Vault or Doppler.
• Conduct static code analysis with tools such as SonarQube or Snyk to ensure compliance with security standards.

Collaboration & Team Enablement :

• Mentor and guide team members on DevOps best practices and workflows.
• Document infrastructure setups, incident runbooks, and troubleshooting workflows to enhance team efficiency.

Required Skills :

• Expertise in managing cloud platforms like AWS, GCP, or Azure.
• In-depth knowledge of Kubernetes, Docker, and IaC tools like Terraform or Pulumi.
• Advanced scripting capabilities in Python or Bash.
• Proficiency in CI/CD tools such as GitHub Actions, Jenkins, or similar.
• Experience with observability tools like Grafana, OpenTelemetry, and Datadog.
• Strong troubleshooting skills for debugging production systems and optimizing performance.

Preferred Qualifications :

• Experience in scaling AI or ML-based applications.
• Familiarity with distributed systems and microservices architecture.
• Understanding of agile methodologies and DevSecOps practices.
• Certifications in AWS, Azure, or Kubernetes.

What We Offer :

• Opportunity to work in a fast-paced AI startup environment.
• Flexible remote work culture.
• Competitive salary and equity options.
• Professional growth through challenging projects and learning opportunities.

DevOps Engineer

Bangalore / Full-Time

Job Description

At, we build Enterprise-Scale AI/ML-powered products for Manufacturing, Sustainability and Supply Chain. We are looking for a DevOps Engineer to help us deploying product updates, identifying production issues and implement integrations that meet customer needs. By joining our team, you will take part in various projects, involves working with clients to successfully implement and integrate a  products, software, or systems into their existing infrastructure or  cloud. 

What You'll Do

•      Collaborate with stakeholders to gather and analyze customer needs, ensuring that DevOps strategies align with business objectives.

•      Deploy and manage various development, testing, and automation tools, alongside robust IT infrastructure to support our software lifecycle.

•      Configure and maintain the necessary tools and infrastructure to support continuous integration, continuous deployment (CI/CD), and other DevOps processes.

•      Establish and document processes for development, testing, release, updates, and support to streamline DevOps operations.

•      Manage the deployment of software updates and bug fixes, ensuring minimal downtime and seamless integration.

•      Develop and implement tools aimed at minimizing errors and enhancing the overall customer experience.

•      Promote and develop automated solutions wherever possible to increase efficiency and reduce manual intervention.

•      Evaluate, select, and deploy appropriate CI/CD tools that best fit the project requirements and organizational goals.

•      Drive ongoing enhancements by building and maintaining robust CI/CD pipelines, ensuring seamless integration, development, and deployment cycles.

•      Integrate requested features and services as per customer requirements to enhance product functionality.

•      Conduct thorough root cause analyses for production issues, implementing effective solutions to prevent recurrence.

•      Investigate and resolve technical problems promptly to maintain system stability and performance.

•      Offer expert technical support, including GitOps for automated Kubernetes deployments, Jenkins pipeline automation, VPS setup, and more, ensuring smooth and reliable operations.

Requirements & Skills

•      Bachelor’s degree in computer science, MCA or equivalent practical experience

•      4 to 6 years of hands-on experience as a DevOps Engineer 

•      Proven experience with cloud platforms such as AWS or Azure, including services like EC2, S3, RDS and Kubernetes Service (EKS).

•      Strong understanding of networking concepts, including VPNs, firewalls, and load balancers.

•      Proficiency in setting up and managing CI/CD pipelines using tools like Jenkins, Bitbucket Pipeline, or similar

•      Experience with configuration management tools such as Ansible, Chef, or Puppet.

•      Skilled in using IaC tools like Terraform,  AWS CloudFormation, or similar.

•      Strong knowledge of Docker and Kubernetes for container management and orchestration.

•      Expertise in using Git and managing repositories on platforms like GitHub, GitLab, or Bitbucket.

•      Ability to build and maintain automated scripts and tools to enhance DevOps processes.

•      Experience with monitoring tools (e.g., Prometheus, Grafana, ELK Stack) to ensure system reliability and performance.

•      Experience with GitOps practices for managing Kubernetes deployments using Flux2 or similar.

•      Proficiency in scripting languages such as Python, Yaml, Bash, or PowerShell.

•      Strong analytical skills to perform root cause analysis and troubleshoot complex technical issues.

•      Excellent teamwork and communication skills to work effectively with cross-functional teams and stakeholders.

•      Ability to thrive in a fast-paced environment and adapt to changing priorities and technologies.

•      Eagerness to stay updated with the latest DevOps trends, tools, and best practices.

Nice to have:

•      AWS Certified DevOps Engineer

•      Azure DevOps Engineer Expert

•      Certified Kubernetes Administrator (CKA)

•      Understanding of security compliance standards (e.g., GDPR, HIPAA) and best practices in DevOps.

•      Experience with cost management and optimization strategies in cloud environments.

•      Knowledge of incident management and response tools and processes.

6+ years of experience with deployment and management of Kubernetes clusters in production environment as DevOps engineer.

• Expertise in Kubernetes fundamentals like nodes, pods, services, deployments etc., and their interactions with the underlying infrastructure.

• Hands-on experience with containerization technologies such as Docker or RKT to package applications for use in a distributed system managed by Kubernetes.

• Knowledge of software development cycle including coding best practices such as CI/CD pipelines and version control systems for managing code changes within a team environment.

• Must have Deep understanding on different aspects related to Cloud Computing and operations processes needed when setting up workloads on top these platforms

• Experience with Agile software development and knowledge of best practices for agile Scrum team.

• Proficient with GIT version control

• Experience working with Linux and cloud compute platforms.

• Excellent problem-solving skills and ability to troubleshoot complex issues in distributed systems.

• Excellent communication & interpersonal skills, effective problem-solving skills and logical thinking ability and strong commitment to professional and client service excellence.

Roles & Responsibilities:

• Bachelor’s degree in Computer Science, Information Technology or a related field

• Experience in designing and maintaining high volume and scalable micro-services architecture on cloud infrastructure

• Knowledge in Linux/Unix Administration and Python/Shell Scripting

• Experience working with cloud platforms like AWS (EC2, ELB, S3, Auto-scaling, VPC, Lambda), GCP, Azure

• Knowledge in deployment automation, Continuous Integration and Continuous Deployment (Jenkins, Maven, Puppet, Chef, GitLab) and monitoring tools like Zabbix, Cloud Watch Monitoring, Nagios Knowledge of Java Virtual Machines, Apache Tomcat, Nginx, Apache Kafka, Microservices architecture, Caching mechanisms

• Experience in enterprise application development, maintenance and operations

• Knowledge of best practices and IT operations in an always-up, always-available service

• Excellent written and oral communication skills, judgment and decision-making skills

• Public clouds, such as AWS, Azure, or Google Cloud Platform
• Automation technologies, such as Kubernetes or Jenkins
• Configuration management tools, such as Puppet or Chef
• Scripting languages, such as Python or Ruby

Requirements:-

• Must have good understanding of  Python and Shell scripting with industry standard coding conventions
• Must possess good coding debugging skills
• Experience in Design & Development of test framework
• Experience in Automation testing
• Good to have experience in Jenkins framework tool
• Good to have exposure to Continuous Integration process
• Experience in Linux and Windows OS
• Desirable to have Build  & Release  Process knowledge
• Experience in  Automating Manual test cases
• Experienced in automating OS / FW related tasks
• Understanding of BIOS / FW QA  is a strong plus
• OpenCV experience is a plus
• Good to have platform exposure
• Must have good Communication skills
• Good Leadership capabilities & collaboration capabilities, as individual will have to work with multiple teams and single handedly maintain the automation framework and enable the Manual validation team