
Job Requirements
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 ensure
alignment 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
Skill Area Requirements
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.

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DevOps Engineer (Cloud & Infrastructure)
📍 Noida | 🕐 Full-Time | 🧭 Experience: 2–4 years
About TestMu AI
TestMu AI (formerly LambdaTest) is an AI-native platform designed to move software testing beyond simple automation into the era of agentic intelligence. It provides end-to-end AI agents that manage the entire Quality Engineering lifecycle.
- Full-Stack AI Agents: Autonomously plan, author, execute, and analyze tests across the SDLC.
- Comprehensive Coverage: Supports web, mobile, and enterprise applications.
- Real-World Testing: Scale execution across real devices, browsers, and custom environments.
About the Role
This isn't a role for someone who just wants to "maintain" systems. As a DevOps Engineer at TestMu AI, you are the architect of the automated highways that power our AI agents. You will step into a fast-paced environment where you bridge the gap between cloud-native automation and core infrastructure.
You will manage complex CI/CD pipelines, troubleshoot deep-seated Linux issues, and ensure our hybrid-cloud environment (AWS/Azure) is as resilient as the code it runs.
Key Responsibilities: The Pillars of Growth
A. DevOps & Automation (50% Focus)
- Platform Orchestration: Lead the migration to modular, self-healing Terraform and Helm templates.
- Agentic CI/CD: Architect GitHub Actions workflows that treat AI agents as first-class citizens, automating environment promotion and risk scoring.
- Kubernetes Mastery: Advanced management of Docker and K8s clusters to support scalable production workloads.
- Predictive Observability: Use Prometheus, Grafana, and ELK to move from reactive alerts to autonomous anomaly detection.
B. Networking & Data Center Mastery (30% Focus)
- Hybrid Networking: Design and troubleshoot VPCs and subnets in Azure/AWS/GCP, paired with physical VLANs and switches in our data centers.
- Bare-Metal Lifecycle: Automate hardware provisioning, RAID setup, and firmware updates for our real-device cloud.
- Remote Admin: Master out-of-band management (iDRAC, iLO, IPMI) to ensure 100% remote operational capability.
- Core Protocols: Own the lifecycle of DNS, DHCP, Load Balancing, and IPAM across distributed environments.
C. Development & Scripting (20% Focus)
- Backend Integration: Debug and optimize Python or Go code; understanding how logic interacts with system-level resources.
- Advanced Scripting: Write idempotent Bash/Python scripts to automate complex, multi-server operational tasks.
- Agentic Tooling: Support the integration of LLM-based developer tools into DevOps workflows to eliminate "toil".
The Interview Journey
We value your ability to solve problems under pressure more than your ability to memorize documentation.
- Technical Round 1 (DevOps Leads): A live session focused on real-world debugging scenarios and Linux fundamentals.
- Technical Round 2 (Hiring Manager / Pod Lead): An assessment of your architectural thinking, automation strategy, and team alignment.
- Technical Round 3 (SVP Engineering / VP DevOps): Strategic discussion on scalability, infrastructure vision, and technical leadership.
- Final Round (CEO): Mission alignment, cultural fit, and the "big picture" at TestMu AI.
Growth Timeline
This is a high-visibility role. You will receive direct mentorship from our senior engineering leadership. As you master our production environment, you will have a clear path to move into Senior DevOps Engineer or Infrastructure Architect roles as our pods scale.
Perks That Matter
Health Cover: Comprehensive insurance for you and your family.
Fresh Meals: Daily catered meals at the office.
Transport: Safe cab facilities for eligible shifts.
Pod Budgets: Dedicated engagement budgets for team building and offsites.
Candidate must be from a product-based company with experience handling large-scale production traffic.
2. Minimum 6 yrs of experience working as a DevOps/Infrastructure Consultant
3. Candidate must have 2 years of experience as an lead (handling team of 3 to 4 members atleast)
4. Own end-to-end infrastructure right from non-prod to prod environment including self-managed
5. Candidate must have Self experience in database migration from scratch
6. Must have a firm hold on the container orchestration tool Kubernetes
7. Should have expertise in configuration management tools like Ansible, Terraform, Chef / Puppet
8. Understanding programming languages like GO/Python, and Java
9. Working on databases like Mongo/Redis/Cassandra/Elasticsearch/Kafka.
10. Working experience on Cloud platform -AWS
11. Candidate should have Minimum 1.5 years stability per organization, and a clear reason for relocation
We are looking for a skilled DevOps Engineer with strong expertise in Microsoft Azure and Pulumi to join our growing engineering team. The ideal candidate will be responsible for designing, implementing, and maintaining scalable cloud infrastructure and CI/CD pipelines. This role requires hands-on experience with Infrastructure as Code (IaC), automation, and cloud-native DevOps practices while collaborating closely with development and platform teams.
The candidate must be comfortable working in a U.S. time zone overlap, ensuring smooth collaboration with onshore teams.
Key Responsibilities
- Design, implement, and maintain cloud infrastructure on Microsoft Azure using modern DevOps practices.
- Develop and manage Infrastructure as Code (IaC) using Pulumi to automate infrastructure provisioning and management.
- Build, maintain, and optimize CI/CD pipelines to support reliable and frequent deployments.
- Monitor, troubleshoot, and improve cloud infrastructure performance, availability, and security.
- Collaborate with development teams to improve deployment processes and application reliability.
- Implement automation and configuration management to streamline operations.
- Manage containerized applications and orchestration platforms when applicable.
- Ensure adherence to cloud security best practices, governance, and compliance standards.
- Support production environments and resolve infrastructure-related issues in a timely manner.
- Maintain documentation for infrastructure architecture, deployment pipelines, and operational procedures.
Required Skills & Experience
- 4–7 years of experience in DevOps, Cloud Engineering, or related roles.
- Strong hands-on experience with Microsoft Azure cloud services.
- Proven experience using Pulumi for Infrastructure as Code (must-have).
- Experience building and managing CI/CD pipelines using tools like Azure DevOps, GitHub Actions, Jenkins, or similar.
- Strong experience with containerization technologies (Docker, Kubernetes).
- Proficiency with scripting languages such as Python, Bash, or PowerShell.
- Experience with monitoring and logging tools.
- Strong understanding of cloud networking, security, and identity management.
- Experience with Git-based version control systems.
Preferred Qualifications
- Experience with Kubernetes in Azure (AKS).
- Familiarity with observability tools such as Prometheus, Grafana, or similar.
- Experience with cloud cost optimization and performance tuning.
- Knowledge of DevSecOps practices and security automation.
- Azure certifications such as Azure DevOps Engineer Expert or Azure Administrator.
We are seeking a skilled DevOps Engineer with 3+ years of experience to join our team on a permanent work-from-home basis.
Responsibilities:
- Develop and maintain infrastructure using Ansible.
- Write Ansible playbooks.
- Implement CI/CD pipelines.
- Manage GitLab repositories.
- Monitor and troubleshoot infrastructure issues.
- Ensure security and compliance.
- Document best practices.
Qualifications:
- Proven DevOps experience.
- Expertise with Ansible and CI/CD pipelines.
- Proficient with GitLab.
- Strong scripting skills.
- Excellent problem-solving and communication skills.
Regards,
Aishwarya M
Associate HR
We are hiring a Senior DevOps Engineer (5–10 years experience) with strong hands-on expertise in AWS, CI/CD, Docker, Kubernetes, and Linux. The role involves designing, automating, and managing scalable cloud infrastructure and deployment pipelines. Experience with Terraform/Ansible, monitoring tools, and security best practices is required. Immediate joiners preferred.
- Experience with Infrastructure-as-Code tools(IaS) like Terraform and Cloud Formation.
- Proficiency in cloud-native technologies and architectures (Docker/ Kubernetes), Ci/CD pipelines.
- Good experience in Javascript.
- Expertise in Linux / Windows environment.
- Good Experience in Scripting languages like PowerShell / Bash/ Python.
- Proficiency in revision control and DevOps best practices like Git
tools, build pile lines, deployment and production support.
• Maintaining mission critical day-to-day operations of the production processing platform and internal company resources.
• shall have sound and working knowledge of various devops tools like git, gitlab, jUnit, sonarqube, Jenkins, nagios etc.
• Shall have working knowledge of mentioned devOps tools.
• Analysing, executing and streamlining devops tools and practices.
• Automating processes with rights tools.
• Facilitating development process & operations.
• Establishing suitable devops channel across the organization.
• Setting up CI-CD to speed up software development and deployment process.
• Monitoring, reviewing and managing technical operations.
Primary Skills:
Linux – Ubuntu Administration, Git, Gerrit, Jenkins Administration, Cloud services (Preferred AWS) Apache, Ansible, Python, Postgresql, Rabbit MQ, CloudWatch AWS, CFT in AWS
Additional Skills Required:
- Should have experience working with Jenkins, Git, Gerrit
- Should have Good understanding of AWS Security and execution.
- Should have Good python skills
- Should have experience of working with GIT, Gerrit, Jira, Confluence,
- Exposure to messaging systems Rabbit MQ
- Exposure to Html, Groovy, Javascript, shell scripting
- Exposure to Kibana, Provisioning, capacity planning and performance analysis at various levels
- Exposure to Android skills.
- Should have experience in working with cloud-native architecture.
- Experience with log stash and elastic search
- Expert in Full Stack design technique as well as experience working across large environments with multiple operating systems/infrastructure for large-scale programs
- May be recognized as a leader in Agile and cultivating teams working in Agile frameworks
- Strong understanding of techniques such as Continuous Integration, Continuous Delivery, Test Driven Development, Cloud Development, resiliency, security
- Stays abreast of cutting edge technologies/trends and uses experience to influence application of those technologies/trends to support the business
- Experience on Modelling and Provisioning cloud infrastructure using AWS CloudFormation
Key Responsibilities:
- Perform a Technical Lead role for DevOPs development and support teams.
- Need to communicate & coordinate with both offshore and onsite teams
- Should translate business requirements into project plans and workable item/activities
- Have a thorough understanding of software development lifecycle and the ability to implement software following the structured approach.
- Need to perform in-depth technical reviews of project deliverables and ensure it should be defect free (minimize post release defects).
- Understand the current applications and technical architecture and improvise them as needed.
- Stay abreast of new technologies, methods to optimize development process and latest SDKs, testing tools etc
Client: Sony Corporation
Position: 3
Exp: 5-8Years
DevOps Engineer
Location: Bangalore
Budget: 16.5 LPA Max
Gerrit ,Jenkins, Rabbit MQ AWS Linux
Python ,Ansible, Tomcat ,Postgresql
Grafana ,Groovy,HTML,Shell,Apache,Git , ELK
DevOps Engineer Skills Building a scalable and highly available infrastructure for data science Knows data science project workflows Hands-on with deployment patterns for online/offline predictions (server/serverless)
Experience with either terraform or Kubernetes
Experience of ML deployment frameworks like Kubeflow, MLflow, SageMaker Working knowledge of Jenkins or similar tool Responsibilities Owns all the ML cloud infrastructure (AWS) Help builds out an entirely CI/CD ecosystem with auto-scaling Work with a testing engineer to design testing methodologies for ML APIs Ability to research & implement new technologies Help with cost optimizations of infrastructure.
Knowledge sharing Nice to Have Develop APIs for machine learning Can write Python servers for ML systems with API frameworks Understanding of task queue frameworks like Celery









