DevOps Engineer

Job Description:

Job Description: DevOps Engineer

Experience-3+yrs

As a DevOps Engineer, you will be responsible for designing, implementing, and maintaining the infrastructure that supports our platform and solutions. You will work closely and collaborate with various development and operations teams to ensure seamless integration and deployment of our solutions.

Responsibilities:

• Design, implement, and manage scalable and reliable IoT infrastructure on Raspberry Pi OS, various backend services using Java and AI stack Automate deployment, monitoring, and management of IoT applications.
• Collaborate with development teams to ensure continuous integration and continuous deployment (CI/CD) pipelines are efficient and effective. Manage various AWS services such as EC2, S3, Redis, RDS, Lambda, and VPC, Cognito etc.,
• Manage various Cloud infrastructure using both Kubernetes(k8) and AWS stacks for both lower and production environments Implement security best practices to protect both platform and IoT data and infrastructures.
• Develop and maintain infrastructure as code (IaC) using tools like Terraform, Ansible, or CloudFormation. Troubleshoot and resolve infrastructure-related issues along with operations and development teams
• Monitor system performance, identify issues, and implement solutions to ensure high availability and reliability. Plan and provision on-demand and stable various Cloud infrastructures in AWS and other Clouds with guided planning, scoping, costing and visibility to whole platform infrastructures with cost optimizations and utilization efficiency
• Stay up-to-date with the latest industry trends and technologies DevOps Familiarity with Dev SecOps & ML-Ops, Git-Ops practices

Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related field. Strong knowledge of cloud platforms (AWS, Azure, GCP) and containerization technologies using Docker, Kubernetes etc.,
• Experience with CI/CD tools such as Jenkins, GitLab CI, or Circle CI. Proficiency in scripting languages (Python, Bash, Shell etc.).
• Good understanding and hands-on with Networking, security, and system administration in AWS environment will be ideal Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

Site Reliability Engineer

Experience - 4 - 8 Years

Location - Bangalore (Hybrid) 

We are seeking a highly skilled Site Reliability Engineer (SRE) to design, build, and operate scalable, reliable, and secure cloud-native platforms. The ideal candidate will have strong experience with Kubernetes ecosystems, cloud infrastructure, automation, observability, and GitOps practices.

Key Responsibilities

• Manage and optimize Kubernetes-based platforms, including Cilium, Istio, Ingress Controllers, and related ecosystem components.
• Design, deploy, and maintain infrastructure on Google Cloud Platform (GCP).
• Automate infrastructure provisioning and lifecycle management using Terraform.
• Implement and manage GitOps workflows using ArgoCD and GitLab.
• Deploy and maintain Helm charts for Kubernetes applications.
• Manage secrets, service discovery, and distributed systems using Vault and Consul.
• Build and maintain monitoring, logging, and observability platforms using Prometheus Operator and the Grafana Stack (Grafana, Mimir, Loki, Alloy, Tempo, and Pyroscope).
• Collaborate with development teams to improve platform reliability, performance, scalability, and operational excellence.
• Develop CI/CD pipelines and automation to support modern cloud-native deployments.

Required Skills

• Strong hands-on experience with Kubernetes (K8s) and cloud-native technologies.
• Experience with GCP, Terraform, Helm, and ArgoCD.
• Knowledge of Service Mesh technologies, particularly Istio and Cilium.
• Experience with Vault, Consul, and infrastructure security best practices.
• Strong expertise in observability tools including Prometheus and the Grafana ecosystem.
• Proficiency with GitOps, GitLab, CI/CD pipelines, and automation.
• Good understanding of Linux systems, networking, and troubleshooting in distributed environments.

Preferred Qualifications

• Experience operating large-scale production environments.
• Knowledge of SRE principles, incident management, capacity planning, and reliability engineering.
• Relevant cloud-native certifications (CKA, GCP, Terraform, etc.) are a plus.

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.

• Install, configure, and maintain Kubernetes clusters.
• Develop Kubernetes-based solutions.
• Improve Kubernetes infrastructure.
• Work with other engineers to troubleshoot Kubernetes issues.

• Kubernetes administration experience, including installation, configuration, and troubleshooting
• Kubernetes development experience
• Linux/Unix experience
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Ability to work independently and as part of a team

DESIRED SKILLS AND EXPERIENCE

 Strong analytical and problem-solving skills

 Ability to work independently, learn quickly and be proactive

 3-5 years overall and at least 1-2 years of hands-on experience in designing and managing DevOps Cloud infrastructure

 Experience must include a combination of:

o Experience working with configuration management tools – Ansible, Chef, Puppet, SaltStack (expertise in at least one tool is a must)

o Ability to write and maintain code in at least one scripting language (Python preferred)

o Practical knowledge of shell scripting

o Cloud knowledge – AWS, VMware vSphere o Good understanding and familiarity with Linux

o Networking knowledge – Firewalls, VPNs, Load Balancers

o Web/Application servers, Nginx, JVM environments

o Virtualization and containers - Xen, KVM, Qemu, Docker, Kubernetes, etc.

o Familiarity with logging systems - Logstash, Elasticsearch, Kibana

o Git, Jenkins, Jira

Key Responsibilities:

• Work with the development team to plan, execute and monitor deployments
• Capacity planning for product deployments
• Adopt best practices for deployment and monitoring systems
• Ensure the SLAs for performance, up time are met
• Constantly monitor systems, suggest changes to improve performance and decrease costs.
• Ensure the highest standards of security

Key Competencies (Functional):

• Proficiency in coding in atleast one scripting language - bash, Python, etc
• Has personally managed a fleet of servers (> 15)
• Understand different environments production, deployment and staging
• Worked in micro service / Service oriented architecture systems
• Has worked with automated deployment systems – Ansible / Chef / Puppet.
• Can write MySQL queries

Job Description:

• Hands on experience with Ansible & Terraform.
• Scripting language, such as Python or Bash or PowerShell is required and willingness to learn and master others. 
• Troubleshooting and resolving automation, build, and CI/CD related issues (in cloud environment like AWS or Azure).
• Experience with Kubernetes is mandate.
• To develop and maintain tooling and environments for test and production environments.
• Assist team members in the development and maintenance of tooling for integration testing, performance testing, security testing, as well as source control systems (that includes working in CI systems like Azure DevOps, Team City, and orchestration tools like Octopus).
• Good with Linux environment.

Role : SRE

Experience : 4 - 8 Years

• Experience in building, deploying and operating cloud solutions on Kubernetes
• Strong expertise administrating and scaling Kubernetes on bare metal and CKA preferred
• Expertise on K8s Interfaces CNI, CSI, CRI and Service meshe
• Hands-on experience as a DevOps or Automation development
• Demonstrable knowledge of TCP/IP, Linux operating system internals, filesystems, disk/storage technologies and storage protocols.
• Experience working with Helm Charts and building out Infrastructure As Code (IaC)
• Experience in writing software to automate orchestration tasks at scale; we commonly use Python, Go, and Shell scripting
• Knowledge of systems (Linux, GNU tooling), networking (OSI model, DNS, routing) and virtualization vs containerization
• Expertise in CI/CD tooling for cloud-based applications specifically Terraform / CloudFormation, Jenkins and Git
• Architected CNF Orchestration with Kubernetes
• Strong understanding of the principles of 12-factor apps and modern containerized microservices
• Plan for reliability by designing systems to work across our multi-region and multi-cloud environments
• Experience developing and using Application & Integration stacks/tools such as Kafka, Spring Cloud, Apache Camel, Kubernetes, Docker, Redis, Knative, and NoSQL