Mitra AI is a global technology company that specializes in AI-driven solutions, cloud engineering, enterprise integration and workflow automation. Headquartered in the UK, Mitra has been serving global clients for the last 12 years in the US, UK, EU and APAC, across industries such as BFSI, telecommunications, healthcare, and retail, helping businesses modernize and optimize their operations.
Key Responsibilities:
● Lead DevOps initiatives across multiple projects, ensuring best practices in
automation, security, and scalability.
● Architect, deploy, and manage Kubernetes clusters both in on-premise environments
and across cloud platforms (AWS, Azure, GCP).
● Design and implement Kubernetes manifests, Helm charts, and CI/CD pipelines for
deploying and managing applications.
● Utilize Terraform and Ansible for Infrastructure as Code (IaC) to automate the
provisioning and configuration of cloud and on-premise infrastructure.
● Work with development teams to automate infrastructure setup and deployments
using Python and Shell scripting.
● Implement and maintain Cloud Load Balancing solutions and on-prem load
balancing setups.
● Collaborate closely with Network and Security teams to design secure and efficient
network architectures.
● Manage observability, monitoring, and alerting systems to ensure system
performance and reliability.
● Establish a framework for automated scaling and high availability using Kubernetes,
including networking, service discovery, and load balancing.
● Mentor and guide a team of DevOps engineers, fostering an environment of
continuous learning and improvement.
● Perform disaster recovery planning, testing, and implementation for critical
infrastructure and services.
Required Qualifications:
● 7+ years of experience in DevOps or Site Reliability Engineering (SRE), with at
least 2 years in a lead role.
● Expertise in managing Kubernetes clusters (on-premise and cloud environments)
and deep knowledge of Kubernetes internals.
● Proficient in creating and managing Kubernetes manifests, Helm charts, and
CI/CD pipelines.
● Strong experience in Terraform and Ansible for automating infrastructure.
● Proficiency with scripting languages such as Python and Shell for automation and
custom tooling.
● Experience with Cloud Providers: AWS, Azure, and GCP (with at least hands-on
expertise in one of them).
● Strong background in networking concepts including on-prem and cloud-based
load balancing, DNS, and VPC design.
● Proven experience in architecting and implementing cloud-native applications and
services.
● Experience with CI/CD tools such as Jenkins, GitLab CI, or similar.
● Familiarity with monitoring, logging, and alerting tools like Prometheus, Grafana,
ELK Stack.
● Knowledge of security best practices and compliance in cloud and on-premise
environments.
Preferred Qualifications:
● Certification in cloud platforms like AWS Certified Solutions Architect, Azure
DevOps Expert, or Google Professional Cloud DevOps Engineer.
● Experience in managing databases (e.g., PostgreSQL, Redis) in Kubernetes.
● Familiarity with microservices architecture and service mesh technologies (e.g.,
Istio, Linkerd).
● Knowledge of container security best practices (e.g., image scanning, network
policies).
Soft Skills:
● Strong leadership and mentoring abilities.
● Excellent communication skills, with the ability to work collaboratively across teams.
● Problem-solving mindset and ability to work in high-pressure environments.
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