11+ PowerBuilder Jobs in India
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Mandatory Requirement/ Preference:
1.PowerBuild technology experience with minimum 8+ years
- Excellent command on ASP.NET, Angular5/6/7/any version, MVC, Sql Server.
- Should have strong debugging skills on Developer Tools of the browser and Working with Cross Browser UI
4.Working knowledge of the Microsoft Windows Platform and Microsoft Office applications.
- Detailed technical knowledge of Angular any version, C#.Net (Visual Studio) development tools.
- Experience with DevExpress components desirable.
- Experience with DATA along with DevOps and GitHub.
- ANgularJS is different to Angular. AngularJS experience is not relevant to us
Why this role exists
Our infrastructure footprint is growing faster than our headcount, and we believe most of that
gap should be closed by automation and AI agents — not by hiring more humans to do toil. We
need someone early in their career who treats manual work as a bug, ships scripts and agents
instead of tickets, and wants to grow into deeper ownership over the next two years.
You will not be the most senior person on the team. You will be the one who multiplies the team.
What you'll own
In your first 1 months
• Take ownership of one slice of our CI/CD pipeline and make it measurably
faster, more reliable, or cheaper. We expect a number on a dashboard to move.
• Build at least three internal automations that replace manual ops toil —
using AI agents (Claude Code, agentic CLIs, scripted LLM workflows) as your force
multiplier.
• Be the first responder for a defined set of alerts. Write the runbooks. Drive
the alert volume down.
• Support senior engineers on AI/ML infrastructure (GPU nodes, inference
services, model deployment) — observe, document, and gradually take on contained
changes under review.
By 3 months you should be
• The go-to person for at least two production systems.
• Shipping routine infrastructure changes without needing senior review.
• Treating "manual" as a code smell.
Required (we will reject without these)
• 0–3 years hands-on experience with one major cloud (AWS, GCP, or
Azure — one is fine, depth beats breadth).
• Fluent in Linux command line, bash, and at least one scripting language
(Python or Go preferred).
• Have shipped something to production that real users hit. A side project
counts; a graded coursework lab does not.
• Comfortable with Docker — you can explain what an image vs. a
container is and why it matters.
• Working knowledge of networking fundamentals: DNS, HTTP/HTTPS,
TLS, ports, basic subnets — enough to debug "it works on my machine."
• Git fluency: branches, merges, rebases, conflict resolution.
• CI/CD pipelines — you have authored or substantially modified pipelines
in GitHub Actions, GitLab CI, ArgoCD, Jenkins, or similar. Not just "I clicked Re-run."
• Kubernetes basics — kubectl for real work, can read pod logs,
understand deployments and services, can debug a CrashLoopBackOff without
panicking. You do not need to have run a cluster; you do need to have lived inside one.
• Active user of AI coding agents (Claude Code, Cursor, Copilot, agentic
CLIs, etc.). You should be able to walk us through specific tasks where they made you
faster, and specific tasks where they failed you and how you noticed. "I have tried it" is
not enough.
Bonus (real plus, not required)
• Infrastructure as Code: Terraform, Pulumi, or Ansible.
• Observability: Prometheus/Grafana, Datadog, OpenTelemetry, any APM.
• Have built or extended an LLM-based agent — a custom MCP server, a
scripted multi-step workflow, an internal tool that calls models in a loop. Anything beyond
chat-with-Claude.
• Exposure to GPU workloads, model serving (vLLM, Triton, TGI, etc.), or
ML pipelines.
What we don't care about
• Whether your degree is in CS — or whether you have a degree at all.
• Brand-name companies on your resume.
• Certifications. They are fine. They do not substitute for having shipped.
How we work
• We default to automation. If you do something manually twice, the third
time you script it or hand it to an agent.
• AI agents are part of the workflow, not a novelty. Expect interview
questions about exactly how you use them — and where you have caught them being
wrong.
• Small, reversible changes beat big-bang rollouts.
• Postmortems are blameless and written down.
• We push back on each other. If you only execute, you will be unhappy
here.
How to apply
Send:
• Your resume.
• A short note (≤200 words) describing one infra or automation problem you
solved, and how AI agents factored in — or did not, and why. We read these. Generic
notes get rejected.
Internal note — delete before posting externally
• Comp band, location policy, team name, and reporting line marked
[CONFIRM] need to be filled in before this goes external.
• The Required list is intentionally tight: CI/CD and Kubernetes basics
promoted from bonus. Expect this to filter ~80% of typical junior DevOps applicants. The
remaining pool will skew toward people who have actually shipped infra at a startup, not
bootcamp grads or pure cloud-cert holders.
• IaC, observability, agent-building, and GPU/ML serving stay as bonus.
Promoting any of these to required at 0–3 yrs collapses the pool to near-zero or forces
hiring senior people at junior comp. If you want IaC required, re-level this to mid (3–5
yrs) and raise the band.
• Screening implication: the resume screen should explicitly check for
CI/CD pipeline authorship and any K8s-touching production work. If neither is on the
resume, reject at screen. Do not waste interview slots.
• Pipeline watch: if fewer than ~15 qualified resumes after 2 weeks of
active sourcing, the first thing to relax is the AI-agent-fluency bar (move to bonus and
screen for it in interview instead). Do not relax the "shipped to production" requirement
— that is the load-bearing filter.
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.
We are looking to fill the role of AWS devops engineer . To join our growing team, please review the list of responsibilities and qualifications.
Responsibilities:
- Engineer solutions using AWS services (Cloud Formation, EC2, Lambda, Route 53, ECS, EFS )
- Balance hardware, network, and software layers to arrive at a scalable and maintainable solution that meets requirements for uptime, performance, and functionality
- Monitor server applications and use tools and log files to troubleshoot and resolve problems
- Maintain 99.99% availability of the web and integration services
- Anticipate, identify, mitigate, and resolve issues relating to client facing infrastructure
- Monitor, analyse, and predict trends for system performance, capacity, efficiency, and reliability and recommend enhancements in order to better meet client SLAs and standards
- Research and recommend innovative and automated approaches for system administration and DevOps tasks
- Deploy and decommission client environments for multi and single tenant hosted applications following and updating as needed established processes and procedures
- Follow and develop CPA change control processes for modifications to systems and associated components
Practice configuration management, including maintenance of component inventory and related documentation per company policies and procedures.
Qualifications :
- Git/GitHub version control tools
- Linux and/or Windows Virtualisation (VMWare, Xen, KVM, Virtual Box )
- Cloud computing (AWS, Google App Engine, Rackspace Cloud)
- Application Servers, servlet containers and web servers (WebSphere, Tomcat)
- Bachelors / Masters Degree - 2+ years experience in software development
- Must have experience with AWS VPC networking and security

technology based supply chain management
A Strong Devops experience of at least 4+ years
Strong Experience in Unix/Linux/Python scripting
Strong networking knowledge,vSphere networking stack knowledge desired.
Experience on Docker and Kubernetes
Experience with cloud technologies (AWS/Azure)
Exposure to Continuous Development Tools such as Jenkins or Spinnaker
Exposure to configuration management systems such as Ansible
Knowledge of resource monitoring systems
Ability to scope and estimate
Strong verbal and communication skills
Advanced knowledge of Docker and Kubernetes.
Exposure to Blockchain as a Service (BaaS) like - Chainstack/IBM blockchain platform/Oracle Blockchain Cloud/Rubix/VMWare etc.
Capable of provisioning and maintaining local enterprise blockchain platforms for Development and QA (Hyperledger fabric/Baas/Corda/ETH).
Srijan Technologies is hiring for the DevOps Lead position- Cloud Team with a permanent WFH option.
Immediate Joiners or candidates with 30 days notice period are preferred.
Requirements:-
- Minimum 4-6 Years experience in DevOps Release Engineering.
- Expert-level knowledge of Git.
- Must have great command over Kubernetes
- Certified Kubernetes Administrator
- Expert-level knowledge of Shell Scripting & Jenkins so as to maintain continuous integration/deployment infrastructure.
- Expert level of knowledge in Docker.
- Expert level of Knowledge in configuration management and provisioning toolchain; At least one of Ansible / Chef / Puppet.
- Basic level of web development experience and setup: Apache, Nginx, MySQL
- Basic level of familiarity with Agile/Scrum process and JIRA.
- Expert level of Knowledge in AWS Cloud Services.
- 3-6 years of relevant work experience in a DevOps role.
- Deep understanding of Amazon Web Services or equivalent cloud platforms.
- Proven record of infra automation and programming skills in any of these languages - Python, Ruby, Perl, Javascript.
- Implement DevOps Industry best practices and the application of procedures to achieve a continuously deployable system
- Continuously improve and increase the capabilities of the CI/CD pipeline
- Support engineering teams in the implementation of life-cycle infrastructure solutions and documentation operations in order to meet the engineering departments quality and standards
- Participate in production outages and handle complex issues and works towards resolution
What will you do?
- Setup, manage Applications with automation, DevOps, and CI/CD tools.
- Deploy, Maintain and Monitor Infrastructure and Services.
- Automate code and Infra Deployments.
- Tune, optimize and keep systems up to date.
- Design and implement deployment strategies.
- Setup infrastructure in cloud platforms like AWS, Azure, Google Cloud, IBM cloud, Digital Ocean etc as per requirement.
Intuitive is the fastest growing top-tier Cloud Solutions and Services company supporting Global Enterprise Customer across Americas, Europe and Middle East. This is an excellent opportunity to join ITP’s global world class technology teams, working with some of the best and brightest engineers while also developing your skills and furthering your career working with some of the largest customers.
Job Description:
Must-Have’s:
Must-Have’s:
- Hands-on DevOps (Git, Ansible, Terraform, Jenkins, Python/Ruby)
Job Description:
- Knowledge on what is a DevOps CI/CD Pipeline
- Understanding of version control systems like Git, including branching and merging strategies
- Knowledge of what is continuous delivery and integration tools like Jenkins, Github
- Knowledge developing code using Ruby or Python and Java or PHP
- Knowledge writing Unix Shell (bash, ksh) scripts
- Knowledge of what is automation/configuration management using Ansible, Terraform, Chef or Puppet
- Experience and willingness to keep learning in a Linux environment
- Ability to provide after-hours support as needed for emergency or urgent situations
Nice to have’s:
- Proficient with container based products like docker and Kubernetes
- Excellent communication skills (verbal and written)
- Able to work in a team and be a team player
- Knowledge of PHP, MySQL, Apache and other open source software
- BA/BS in computer science or similar



