
" Skills : Strong experience in Ansible, Cloud, Linux, Python or Shell or Bash scripting
" Experience : 3 - 6 Years
" Location : Bangalore
Good to have cloud skills - Docker / Kubernetes
Scripting skills - Any of Shell / Perl/ bash/Python
Good to have Terraform

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We are seeking Cloud Developer with experience in GCP/Azure along with Terraform coding. They will help to manage & standardize the IaC module.
Experience:5 - 8 Years
Location:Mumbai & Pune
Mode of Work:Full Time
Key Responsibilities:
- Design, develop, and maintain robust software applications using most common and popular coding languages suitable for the application design, with a strong focus on clean, maintainable, and efficient code.
- Develop, maintain, and enhance Terraform modules to encapsulate common infrastructure patterns and promote code reuse and standardization.
- Develop RESTful APIs and backend services aligned with modern architectural practices.
- Apply object-oriented programming principles and design patterns to build scalable systems.
- Build and maintain automated test frameworks and scripts to ensure high product quality.
- Troubleshoot and resolve technical issues across application layers, from code to infrastructure.
- Work with cloud platforms such as Azure or Google Cloud Platform (GCP).
- Use Git and related version control practices effectively in a team-based development environment.
- Integrate and experiment with AI development tools like GitHub Copilot, Azure OpenAI, or similar to boost engineering efficiency.
Requirements:
- 5+ years of experience
- Experience with IaC Module
- Terraform coding experience along with Terraform Module as a part of central platform team
- Azure/GCP cloud experience is a must
- Experience with C#/Python/Java Coding - is good to have
If interested please share your updated resume with below details :
Total Experience -
Relevant Experience -
Current Location -
Current CTC -
Expected CTC -
Notice period -
Any offer in hand -
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.
● Good understanding of how the web works
● Experience with at least one language like Java, Python etc
● Good with Shell scripting
● Experience with *Nix based operating systems
● Experience with k8s, containers
● Fairly good understanding of AWS/GCP/Azure
● Troubleshoot and fix outages and performance issues in infrastructure stack
● Identify gap and design automation tools for all feasible functions in infrastructure
● Good verbal and written communication skills
● Drive SLA/SLO of team
Benefits
This is an opportunity to work on a fairly complex set of systems and improve
them. You will get a chance to learn things like “how to think about code
simplicity”, “how to write for maintainability” and several other things.
● Comprehensive health insurance policy.
● Flexible working hours and a very friendly work environment.
● Flexibility to work either in the office (post Covid) or remotely.
At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking 4 DevOps Support Engineer to join one of our clients' teams in India who can start until 20th of July. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.
Job requirements
Key Responsibilities:
- Monitor and troubleshoot AWS and/or Azure environments to ensure optimal performance and availability.
- Respond promptly to incidents and alerts, investigating and resolving issues efficiently.
- Perform basic scripting and automation tasks to streamline cloud operations (e.g., Bash, Python).
- Communicate clearly and fluently in English with customers and internal teams.
- Collaborate closely with the Team Lead, following Standard Operating Procedures (SOPs) and escalation workflows.
- Work in a rotating shift schedule, including weekends and nights, ensuring continuous support coverage.
Shift Details:
- Engineers rotate shifts, typically working 4–5 shifts per week.
- Each engineer works about 4 to 5 shifts per week, rotating through morning, evening, and night shifts—including weekends—to cover 24/7 support evenly among the team
- Rotation ensures no single engineer is always working nights or weekends; the load is shared fairly among the team.
Qualifications:
- 2–5 years of experience in DevOps or cloud support roles.
- Strong familiarity with AWS and/or Azure cloud environments.
- Experience with CI/CD tools such as GitHub Actions or Jenkins.
- Proficiency with monitoring tools like Datadog, CloudWatch, or similar.
- Basic scripting skills in Bash, Python, or comparable languages.
- Excellent communication skills in English.
- Comfortable and willing to work in a shift-based support role, including night and weekend shifts.
- Prior experience in a shift-based support environment is preferred.
What We Offer:
- Remote work opportunity — work from anywhere in India with a stable internet connection.
- Comprehensive training program including:
- Shadowing existing processes to gain hands-on experience.
- Learning internal tools, Standard Operating Procedures (SOPs), ticketing systems, and escalation paths to ensure smooth onboarding and ongoing success.
Required Skills
• Automation is a part of your daily functions, so thorough familiarity with Unix Bourne shell scripting and Python is a critical survival skill.
• Integration and maintenance of automated tools
• Strong analytical and problem-solving skills
• Working experience in source control tools such as GIT/Github/Gitlab/TFS
• Have experience with modern virtualization technologies (Docker, KVM, AWS, OpenStack, or any orchestration platforms)
• Automation of deployment, customization, upgrades, and monitoring through modern DevOps tools (Ansible, Kubernetes, OpenShift, etc) • Advanced Linux admin experience
• Using Jenkins or similar tools
• Deep understanding of Container orchestration(Preferably Kubernetes )
• Strong knowledge of Object Storage(Preferably Cept on Rook)
• Experience in installing, managing & tuning microservices environments using Kubernetes & Docker both on-premise and on the cloud.
• Experience in deploying and managing spring boot applications.
• Experience in deploying and managing Python applications using Django, FastAPI, Flask.
• Experience in deploying machine learning pipelines/data pipelines using Airflow/Kubeflow /Mlflow.
• Experience in web server and reverse Proxy like Nginx, Apache Server, HAproxy
• Experience in monitoring tools like Prometheus, Grafana.
• Experience in provisioning & maintaining SQL/NoSQL databases.
Desired Skills
• Configuration software: Ansible
• Excellent communication and collaboration skills
• Good experience on Networking Technologies like a Load balancer, ACL, Firewall, VIP, DNS
• Programmatic experience with AWS, DO, or GCP storage & machine images
• Experience on various Linux distributions
• Knowledge of Azure DevOps Server
• Docker management and troubleshooting
• Familiarity with micro-services and RESTful systems
• AWS / GCP / Azure certification
• Interact with the Engineering for supporting/maintaining/designing backend infrastructure for product support
• Create fully automated global cloud infrastructure that spans multiple regions.
• Great learning attitude to the newest technology and a Team player
● Manage AWS services and day to day cloud operations.
● Work closely with the development and QA team to make the deployment process
smooth and devise new tools and technologies in order to achieve automation of most
of the components.
● Strengthen the infrastructure in terms of Reliability (configuring HA etc.), Security (cloud
network management, VPC, etc.) and Scalability (configuring clusters, load balancers,
etc.)
● Expert level understanding of DB replication, Sharding (mySQL DB Systems), HA
clusters, Failovers and recovery mechanisms.
● Build and maintain CI-CD (continuous integration/deployment) workflows.
● Having an expert knowledge on AWS EC2, S3, RDS, Cloudfront and other AWS offered
services and products.
● Installation and management of software systems in order to support the development
team e.g. DB installation and administration, web servers, caching and other such
systems.
Requirements:
● B. Tech or Bachelor's in a related field.
● 2-5 years of hands-on experience with AWS cloud services such as EC2, ECS,
Cloudwatch, SQS, S3, CloudFront, route53.
● Experience with setting up CI-CD pipelines and successfully running large scale
systems.
● Experience with source control systems (SVN, GIT etc), Deployment and build
automation tools like Jenkins, Bamboo, Ansible etc.
● Good experience and understanding of Linux/Unix based systems and hands-on
experience working with them with respect to networking, security, administration.
● Atleast 1-2 years of experience with shell/python/perl scripting; having experience with
Bash scripting is an added advantage.
● Experience with automation tasks like, automated backups, configuring fail overs,
automating deployment related process is a must have.
● Good to have knowledge of setting up the ELK stack; Infrastructure as a code services
like Terraform; working and automating processes with AWS SDK/CLI tools with scripts
We are looking for candidates that have experience in development and have performed CI/CD based projects. Should have a good hands-on Jenkins Master-Slave architecture, used AWS native services like CodeCommit, CodeBuild, CodeDeploy and CodePipeline. Should have experience in setting up cross platform CI/CD pipelines which can be across different cloud platforms or on-premise and cloud platform.
Job Description:
- Hands on with AWS (Amazon Web Services) Cloud with DevOps services and CloudFormation.
- Experience interacting with customer.
- Excellent communication.
- Hands-on in creating and managing Jenkins job, Groovy scripting.
- Experience in setting up Cloud Agnostic and Cloud Native CI/CD Pipelines.
- Experience in Maven.
- Experience in scripting languages like Bash, Powershell, Python.
- Experience in automation tools like Terraform, Ansible, Chef, Puppet.
- Excellent troubleshooting skills.
- Experience in Docker and Kuberneties with creating docker files.
- Hands on with version control systems like GitHub, Gitlab, TFS, BitBucket, etc.
- Working on scalability, maintainability and reliability of company's products.
- Working with clients to solve their day-to-day challenges, moving manual processes to automation.
- Keeping systems reliable and gauging the effort it takes to reach there.
- Understanding Juxtapose tools and technologies to choose x over y.
- Understanding Infrastructure as a Code and applying software design principles to it.
- Automating tedious work using your favourite scripting languages.
- Taking code from the local system to production by implementing Continuous Integration and Delivery principles.
What you need to have:
- Worked with any one of the programming languages like Go, Python, Java, Ruby.
- Work experience with public cloud providers like AWS, GCP or Azure.
- Understanding of Linux systems and Containers
- Meticulous in creating and following runbooks and checklists
- Microservices experience and use of orchestration tools like Kubernetes/Nomad.
- Understanding of Computer Networking fundamentals like TCP, UDP.
- Strong bash scripting skills.
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
Skill: Python, Docker or Ansible , AWS
➢ Experience Building a multi-region highly available auto-scaling infrastructure that optimizes
performance and cost. plan for future infrastructure as well as Maintain & optimize existing
infrastructure.
➢ Conceptualize, architect and build automated deployment pipelines in a CI/CD environment like
Jenkins.
➢ Conceptualize, architect and build a containerized infrastructure using Docker,Mesosphere or
similar SaaS platforms.
Work with developers to institute systems, policies and workflows which allow for rollback of
deployments Triage release of applications to production environment on a daily basis.
➢ Interface with developers and triage SQL queries that need to be executed inproduction
environments.
➢ Maintain 24/7 on-call rotation to respond and support troubleshooting of issues in production.
➢ Assist the developers and on calls for other teams with post mortem, follow up and review of
issues affecting production availability.
➢ Establishing and enforcing systems monitoring tools and standards
➢ Establishing and enforcing Risk Assessment policies and standards
➢ Establishing and enforcing Escalation policies and standards








