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IT Person – Job Requirements (Restaurant Industry)

1. Technical Skills

POS system setup, troubleshooting, and daily support

Knowledge of billing printers, KOT printers, LAN/WiFi setup

Basic networking (router, switch, IP configuration)

CCTV installation & monitoring

System formatting, software installation, antivirus

Knowledge of cloud backup, email setup (Outlook/Gmail)

Handling biometric attendance machines

Experience with ERP/FnB software (if any)

Basic hardware repairing (CPU, cables, RAM, HDD issues)

2. Restaurant-Specific Skills

Understanding of POS menus, modifiers, kitchen display systems

Printer paper roll change, printer alignment, POS connectivity

Troubleshooting online order integrations (Zomato/Swiggy/Dunzo)

Wi-Fi network stability for restaurant operations

Support during audit days, billing issues, shift closing reports

3. Soft Skills

Quick problem-solving

Good communication

Ability to visit outlets when needed

Ready to work on weekends if urgent issues

Responsible and reliable

4. Experience

1–3 years experience in IT support

Restaurant or retail industry experience preferred

5. Education

Diploma or Degree in IT/Computer Science

Or relevant certification (CCNA, hardware networking, etc.)

Role Overview:

Virtana is looking for a Senior DevOps Engineer to join our R&D Infrastructure team. In this role, you won't just follow conventions — you'll help redefine them. You will own the architecture, build, and day-to-day operations of the GCP-based cloud platform that powers Virtana's SaaS products and the AI-driven observability experience our Global 2000 customers depend on. This is a hands-on senior individual contributor role with meaningful technical leadership scope, working alongside engineers and architects on a unified observability platform.

Work Location: Pune

Job Type: Hybrid

Role Responsibilities:

• GCP Cloud Operations: Develop, deploy, operate, and support production cloud infrastructure primarily on GCP — leveraging GKE, BigTable, BigQuery, Dataflow, Cloud Storage, IAM, and core networking services.
• Reliability & SLAs: Ensure production systems are running at all times with multiple levels of redundancy to meet committed SLAs; lead incident response, root cause analysis, and post-incident reviews.
• Build & Release Automation: Design, implement, and continuously improve scalable CI/CD pipelines and test frameworks leveraged by QA and development teams across the company.
• Infrastructure as Code: Manage large-scale, repeatable deployments using Terraform, Ansible, Puppet, or SaltStack; champion Git-based workflows and version control standards for distributed engineering teams.
• Security & Availability: Maintain the ongoing maintenance, security, patching, and availability of services in line with tight operations, security, and procedural models.
• Monitoring & Alerting: Plan and deliver high-value monitoring and alerting features to support operations, support, and customer-facing reliability — eating our own dog food with the Virtana Platform wherever possible.
• Capacity & Cost: Forecast capacity, plan upgrades, patches, and migrations, and drive cloud cost efficiency across hybrid and multi-cloud environments.
• Cross-Functional Partnership: Work with development, operations, and support personnel to identify, isolate, and diagnose issues; handle support escalations and drive permanent fixes.

Required Qualifications:

• Bachelor's degree in Computer Science / Engineering or equivalent relevant experience.
• 5–7 years of professional hands-on DevOps / SRE experience supporting production cloud environments.
• Strong, demonstrable production experience on GCP — including GKE, BigTable, BigQuery, Dataflow, IAM, and core GCP networking services.
• Deep, hands-on expertise with container orchestration (Kubernetes) and Docker in production.
• Advanced proficiency with at least one infrastructure-as-code / configuration management tool: Terraform, Ansible, Puppet, or SaltStack.
• Solid understanding of networking, firewalls, load balancers, DNS, and database operations.
• Strong working knowledge of Git-based workflows and version control standards for distributed engineering teams.
• Comfort operating hybrid environments that include both Linux and Windows ecosystems.
• Excellent verbal and written communication skills, with the ability to explain highly technical topics to both technical and non-technical audiences.
• Self-motivated, detail-oriented, and able to work both independently and within a globally distributed team.

Good to Have:

• Strong scripting skills and a demonstrated ability to automate operational toil — Python preferred; Bash, Go, or Groovy a plus.
• Hands-on experience designing and operating CI/CD pipelines with Jenkins (Spinnaker, GitHub Actions, or GitLab CI also welcome).
• Exposure to AWS or other public clouds in addition to GCP.
• Experience operating SaaS platforms built on microservices architectures.

🚀 Hiring: Azure DevOps Engineer – Immediate Joiners Only! 🚀

📍 Location: Pune (Hybrid)

💼 Experience: 5+ Years

🕒 Mode of Work: Hybrid

Are you a proactive and skilled Azure DevOps Engineer looking for your next challenge? We are hiring immediate joiners to join our dynamic team! If you are passionate about CI/CD, cloud automation, and SRE best practices, we want to hear from you.

🔹 Key Skills Required:

✅ Cloud Expertise: Proficiency in any cloud (Azure preferred)

✅ CI/CD Pipelines: Hands-on experience in designing and managing pipelines

✅ Containers & IaC: Strong knowledge of Docker, Terraform, Kubernetes

✅ Incident Management: Quick issue resolution and RCA

✅ SRE & Observability: Experience with SLI/SLO/SLA, monitoring, tracing, logging

✅ Programming: Proficiency in Python, Golang

✅ Performance Optimization: Identifying and resolving system bottlenecks

The Role

As a DevOps Engineer at Blitzy's Pune headquarters, you'll build and operate the infrastructure that powers our AI agents and the applications they produce. You'll work at the intersection of cloud infrastructure, developer tooling, and AI-native systems — designing the pipelines, clusters, and automation that allow Blitzy to ship production-ready software at machine speed. This is a hands-on, high-ownership role for an engineer who moves fast, automates everything, and cares deeply about developer experience and system reliability.

What Success Looks Like

• Kubernetes clusters are running reliably at scale, with clear deployment standards, Helm-managed releases, and minimal manual intervention required from engineering teams.
• CI/CD pipelines are fast, consistent, and trusted — developers ship confidently knowing the automation handles the rest.
• Observability is comprehensive: alerts are actionable, dashboards are meaningful, and incidents are resolved faster because the right data is always available.
• Infrastructure provisioning is fully automated — no snowflake environments, no manual setup, everything reproducible through code.
• AI agent orchestration infrastructure is stable and scalable, directly enabling Blitzy's core product to deliver for enterprise customers.
• Engineering teams notice the difference — developer productivity is measurably higher and infrastructure is no longer a bottleneck to shipping.

Areas of Ownership

• Build and manage Kubernetes clusters supporting AI agent workloads and application deployment at scale.
• Design, implement, and maintain CI/CD pipelines for application and AI service delivery — ensuring speed, reliability, and repeatability.
• Automate infrastructure provisioning and dynamic scaling using Python scripts and Terraform IaC.
• Deploy and manage applications using Helm charts; own packaging standards and release automation.
• Build and maintain comprehensive observability stacks — alerting, distributed tracing, metrics, and logging (e.g., Prometheus, Grafana, Datadog, OpenTelemetry).
• Monitor and maintain production services and APIs; own incident response and drive blameless postmortems.
• Build dedicated infrastructure for AI agent orchestration and management, enabling Blitzy's core autonomous development capabilities.
• Collaborate with engineering teams on deployment strategies and continuously improve developer experience through tooling and automation.

Required Experience

• 5–8 years of DevOps, infrastructure, or platform engineering experience.
• Python proficiency for scripting, automation, and infrastructure tooling.
• Deep Kubernetes expertise — cluster management, workload deployment, scaling, and troubleshooting.
• Hands-on Helm experience for application packaging and release management.
• Proven ability to design and implement CI/CD pipelines across complex, multi-service environments.
• Practical experience with at least one major cloud platform (AWS, GCP, or Azure).
• Terraform proficiency for infrastructure-as-code provisioning and state management.
• Strong Linux administration and containerization fundamentals (Docker, OCI).

What Makes You Stand Out

• CKA (Certified Kubernetes Administrator) certification.
• Familiarity with MLOps tooling such as MLflow, Kubeflow, or similar platforms for AI/ML workload management.
• Experience with microservices architecture and distributed systems design.
• Knowledge of API gateways and service mesh technologies (Istio, Linkerd, or equivalent).
• Prior experience in a high-growth AI or software startup where you moved fast and owned broadly.
• Track record of meaningfully improving developer productivity through platform and tooling investments.

What Makes This Role Different

Most DevOps roles have you maintaining existing systems. At Blitzy, you're building the infrastructure layer for a platform that autonomously writes enterprise software — a genuinely new category of product. You'll work on AI agent orchestration, Kubernetes at scale, and developer tooling that is directly responsible for how fast Blitzy delivers value to Fortune 500 customers. As an early member of the Pune engineering team, you'll have outsized influence over our infrastructure culture and technical direction. High performers are eligible for company equity — giving you real ownership in what you build.

• Essentail Skills:
• Docker
• Jenkins
• Python dependency management using conda and pip

• Base Linux System Commands, Scripting
• Docker Container Build & Testing
• Common knowledge of minimizing container size and layers
• Inspecting containers for un-used / underutilized systems
• Multiple Linux OS support for virtual system

• Has experience as a user of jupyter / jupyter lab to test and fix usability issues in workbenches
• Templating out various configurations for different use cases (we use Python Jinja2 but are open to other languages / libraries)
• Jenkins PIpeline
• Github API Understanding to trigger builds, tags, releases
• Artifactory Experience
• Nice to have: Kubernetes, ArgoCD, other deployment automation tool sets (DevOps)

Oddr is looking for a skilled backend engineer to help us build scalable multi-tenanted enterprise Cloud applications. The ideal candidate should be able to bring new ideas to the table and design and develop distributed microservices with a strong emphasis on security, resiliency, scalability, performance, and quality. The candidate should have a solid understanding of CI/CD concepts and familiarity with building deployment pipelines. The candidate should be a self-motivated team player and take pride in what they deliver.

The candidate should be interested in a long-term stable career to grow with our company. The candidate will need to work late night hours because of the geographic distribution of the team.

Requirements:

• Strong understanding of CI/CD concepts and experience building deployment pipelines
• Strong knowledge of working with a CI/CD automation server like Jenkins
• Experience working with Docker containers and Kubernetes
• Familiarity working with Azure tools and services
• Good working knowledge of .NET Core and C#
• Familiarity with Cloud development concepts
• Experience with API-driven development and developing RESTful APIs
• Ability to write clean, well-structured code with adequate test coverage, proper abstraction, and reusability
• Ability to work to tight deadlines, manage priorities, and take responsibility for delivering to time and quality requirements
• Excellent communication skills
• Excellent problem-solving skills

Minimum qualifications required:

• Bachelor's degree or relevant certification from a reputable institute
• 3-5 years of experience.

Job Description:

Mandatory Skills:

Should have strong working experience with Cloud technologies like AWS and Azure.

Should have strong working experience with CI/CD tools like Jenkins and Rundeck.

Must have experience with configuration management tools like Ansible.

Must have working knowledge on tools like Terraform.

Must be good at Scripting Languages like shell scripting and python.

Should be expertise in DevOps practices and should have demonstrated the ability to apply that knowledge across diverse projects and teams.

Preferable skills:

Experience with tools like Docker, Kubernetes, Puppet, JIRA, gitlab and Jfrog.

Experience in scripting languages like groovy.

Experience with GCP

Summary & Responsibilities:

 Write build pipelines and IaaC (ARM templates, terraform or cloud formation).

 Develop ansible playbooks to install and configure various products.

 Implement Jenkins and Rundeck jobs( and pipelines).

 Must be a self-starter and be able to work well in a fast paced, dynamic environment

 Work independently and resolve issues with minimal supervision.

 Strong desire to learn new technologies and techniques

 Strong communication (written / verbal ) skills

Qualification:

Bachelor's degree in Computer Science or equivalent.

4+ years of experience in DevOps and AWS.

2+ years of experience in Python, Shell scripting and Azure.