DevOps Engineer

We are looking for a highly skilled Linux-focused DevOps Engineer with strong troubleshooting capabilities. The ideal candidate must have hands-on experience in Linux systems, OpenStack, Kubernetes, and Ansible automation. This role requires deep debugging skills and structured root cause analysis.

Key Responsibilities

• Troubleshoot complex infrastructure and application issues through deep log analysis.

• Manage and optimize Linux-based production environments.

• Deploy and manage workloads in Kubernetes clusters.

• Provision and manage infrastructure using OpenStack.

• Automate configuration management using Ansible. • Diagnose networking issues including DNS, routing, and firewall configurations.

• Develop automation scripts using Bash or Python.

• Participate in production incident handling and RCA documentation. Required Skills & Experience

• Strong Linux internals knowledge (systemd, processes, memory, I/O). • Experience analyzing system logs (/var/log, journalctl, dmesg).

• Hands-on Kubernetes production troubleshooting.

• OpenStack VM provisioning and networking knowledge.

• Ansible playbook and role development experience.

• Strong scripting skills (Bash or Python).

Good to Have

• Terraform exposure. • Monitoring tools such as Prometheus, Grafana, ELK. • Experience in multi-tenant environments. • On-call production support experience.

Salesforce DevOps/Release Engineer

Resource type - Salesforce DevOps/Release Engineer

Experience - 5 to 8 years

Norms - PF & UAN mandatory

Resource Availability - Immediate or Joining time in less than 15 days

Job - Remote

Shift timings - UK timing (1pm to 10 pm or 2pm to 11pm)

Required Experience:

• 5–6 years of hands-on experience in Salesforce DevOps, release engineering, or deployment management.
• Strong expertise in Salesforce deployment processes, including CI/CD pipelines.
• Significant hands-on experience with at least two of the following tools: Gearset, Copado,Flosum.
• Solid understanding of Salesforce architecture, metadata, and development lifecycle.
• Familiarity with version control systems (e.g., Git) and agile methodologies

Key Responsibilities:

• Design, implement, and manage CI/CD pipelines for Salesforce deployments using Gearset, Copado, or Flosum.
• Automate and optimize deployment processes to ensure efficient, reliable, and repeatable releases across Salesforce environments.
• Collaborate with development, QA, and operations teams to gather requirements and ensurealignment of deployment strategies.
• Monitor, troubleshoot, and resolve deployment and release issues.
• Maintain documentation for deployment processes and provide training on best practices.
• Stay updated on the latest Salesforce DevOps tools, features, and best practices.

Technical Skills:

• Deployment ToolsHands-on with Gearset, Copado, Flosum for Salesforce deployments
• CI/CDBuilding and maintaining pipelines, automation, and release management
• Version ControlProficiency with Git and related workflows
• Salesforce PlatformUnderstanding of metadata, SFDX, and environment management
• Scripting
• Familiarity with scripting (e.g., Shell, Python) for automation (preferred)
• Communication
• Strong written and verbal communication skills

Preferred Qualifications:

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

Certifications:

Salesforce certifications (e.g., Salesforce Administrator, Platform Developer I/II) are a plus.

Experience with additional DevOps tools (Jenkins, GitLab, Azure DevOps) is beneficial.

Experience with Salesforce DX and deployment strategies for large-scale orgs. 

Job Overview:

You will work in engineering and development teams to integrate and develop cloud solutions and virtualized deployment of software as a service product. This will require understanding the software system architecture function as well as performance and security requirements. The DevOps Engineer is also expected to have expertise in available cloud solutions and services, administration of virtual machine clusters, performance tuning and configuration of cloud computing resources, the configuration of security, scripting and automation of monitoring functions. This position requires the deployment and management of multiple virtual clusters and working with compliance organizations to support security audits. The design and selection of cloud computing solutions that are reliable, robust, extensible, and easy to migrate are also important.

Experience:

• Experience working on billing and budgets for a GCP project - MUST
• Experience working on optimizations on GCP based on vendor recommendations - NICE TO HAVE
• Experience in implementing the recommendations on GCP
• Architect Certifications on GCP - MUST
• Excellent communication skills (both verbal & written) - MUST
• Excellent documentation skills on processes and steps and instructions- MUST
• At least 2 years of experience on GCP.

Basic Qualifications:

• Bachelor’s/Master’s Degree in Engineering OR Equivalent.
• Extensive scripting or programming experience (Shell Script, Python).
• Extensive experience working with CI/CD (e.g. Jenkins).
• Extensive experience working with GCP, Azure, or Cloud Foundry.
• Experience working with databases (PostgreSQL, elastic search).
• Must have 2 years of minimum experience with GCP certification.

Benefits :

• Competitive salary.
• Work from anywhere.
• Learning and gaining experience rapidly.
• Reimbursement for basic working set up at home.
• Insurance (including top-up insurance for COVID).

Location :

Remote - work from anywhere.

Ideal joining preferences:
Immediate or 15 days

Please find the JD below: 

• Candidate should have good Platform experience on Azure with Terraform. 
• The devops engineer needs to help developers, create the Pipelines and K8s Deployment Manifests. 
• Good to have experience on migrating data from (AWS) to Azure. 

• To manage/automate infrastructure automatically using Terraforms. Jenkins is the key CI/CD tool which we uses and it will be used to run these Terraforms. 
• VMs to be provisioned on Azure Cloud and managed. 
• Good hands-on experience of Networking on Cloud is required. 
• Ability to setup Database on VM as well as managed DB and Proper set up of cloud hosted microservices needs to be done to communicate with the db services. 
• Kubernetes, Storage, KeyValult, Networking (load balancing and routing) and VMs are the key infrastructure expertise which are essential. 

• Requirement is to administer Kubernetes cluster end to end. (Application deployment, managing namespaces, load balancing, policy setup, using blue green/canary deployment models etc). 
• The experience in AWS is desirable. 
• Python experience is optional however Power shell is mandatory. 
• Know-how on the use of GitHub 
• Administration of Azure Kubernetes services 

• 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