AWS Cloud Professional at PwC · Kolkata · 5 - 10 years · ₹8L - ₹15L / yr · Profitable · Posted 14 Sep 2021
- Experience using AWS (that’s just common sense)
- Experience designing and building web environments on AWS, which includes working with services like EC2, ELB, RDS, and S3
- Experience building and maintaining cloud-native applications
- A solid background in Linux/Unix and Windows server system administration
- Experience using https://www.simplilearn.com/tutorials/devops-tutorial/devops-tools" target="_blank">DevOps tools in a cloud environment, such as Ansible, Artifactory, https://www.simplilearn.com/tutorials/docker-tutorial/what-is-docker-container" target="_blank">Docker, GitHub, https://www.simplilearn.com/tutorials/jenkins-tutorial/what-is-jenkins" target="_blank">Jenkins, https://www.simplilearn.com/tutorials/kubernetes-tutorial/what-is-kubernetes" target="_blank">Kubernetes, Maven, and Sonar Qube
- Experience installing and configuring different application servers such as JBoss, Tomcat, and WebLogic
- Experience using monitoring solutions like CloudWatch, ELK Stack, and Prometheus
- An understanding of writing Infrastructure-as-Code (IaC), using tools like CloudFormation or Terraform
- Knowledge of one or more of the most-used programming languages available for today’s cloud computing (i.e., SQL data, XML data, R math, Clojure math, Haskell functional, Erlang functional, Python procedural, and Go procedural languages)
- Experience in troubleshooting distributed systems
- Proficiency in script development and scripting languages
- The ability to be a team player
- The ability and skill to train other people in procedural and technical topics
- Strong communication and collaboration skills
As a special aside, an AWS engineer who works in DevOps should also have experience with:
- The theory, concepts, and real-world application of Continuous Delivery (CD), which requires familiarity with tools like AWS CodeBuild, AWS CodeDeploy, and AWS CodePipeline
- An understanding of automation

About PwC
About
Price Waterhouse and Cooper & Lybrand merged their businesses in 1998, resulting in the formation of the accounting firm known as Price Waterhouse Cooper. Not only is PricewaterhouseCoopers (PwC) the second largest company in the professional services industry, but we are also one of the Big Four accounting firms. In 2016, we were the sixth largest industry in the United States that was privately owned. The company has a workforce of over 223,000 people and provides services to customers in 756 locations throughout 157 countries.
PwC is a network of problem solvers that uses human creativity, knowledge, technology, and solutions to assist organizations in developing a culture of trust and achieving outcomes over the long term. Through the provision of quality assurance, tax, and advising services, we support individuals and businesses in the generation of the value that they want.
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* Deploy and maintain company websites and HRM Cloud applications.
* Configure and manage cloud servers and Linux environments.
* Set up CI/CD pipelines using GitHub/GitHub Actions.
* Configure domains, DNS, SSL certificates, and HTTPS.
* Deploy frontend, backend/API, and database services.
* Configure production and staging environments.
* Manage Docker containers where required.
* Monitor server performance, uptime, logs, and application health.
* Implement regular database and server backups.
* Maintain security, access controls, firewalls, and server permissions.
* Troubleshoot deployment, server, network, and application issues.
* Work closely with Full-Stack Developers and QA teams.
* Maintain deployment documentation and technical procedures.
Required Skills
* AWS / Azure / DigitalOcean or equivalent cloud platform
* Linux server administration
* Git & GitHub
* CI/CD and GitHub Actions
* Docker
* Nginx / Apache
* DNS & domain configuration
* SSL/TLS and HTTPS
* Database deployment and backup
* Basic networking and security
* Monitoring and troubleshooting
* Experience deploying web applications to production
Preferred Skills
* Kubernetes
* Terraform / Infrastructure as Code
* Cloud security
* Load balancing
* Redis / caching
* PostgreSQL / MySQL / MongoDB
* Experience with Node.js, React, PHP/Laravel, or .NET applications
What We Offer
* Opportunity to work on HRM Cloud and SaaS products
* Exposure to real-world cloud infrastructure and production systems
* Remote/hybrid working opportunity
* Growth opportunities within the technology team
* Opportunity to work with an international product-focused company
How to Apply
Send your CV,GitHub profile, LinkedIn profile, and details of your previous cloud/DevOps projects.
Subject: Application – DevOps & Cloud Engineer
Job Title : DevOps / Infrastructure Engineer
Experience : 3+ Years
Location : Gurugram Sector 48
Work Mode : 6 Days WFO (Monday to Saturday) / 01st & 03rd Saturdays are off
Employment Type : Full-time
Role Overview :
We are looking for a DevOps / Infrastructure Engineer with strong hands-on experience in Linux administration, Jenkins, Docker, networking, bare-metal servers, AWS, Redis, and MongoDB. The candidate should be capable of independently troubleshooting infrastructure, deployment, networking, and application-related issues in production environments.
Mandatory / Non-Negotiable Skills :
- Strong hands-on experience with Linux Administration & Troubleshooting.Strong experience with Jenkins and CI/CD pipelines.
- Hands-on experience with Docker and containerized environments.
- Strong understanding of Networking concepts – TCP/IP, DNS, HTTP/HTTPS, ports, routing, firewalls, load balancing, etc.
- Hands-on experience with Bare Metal Servers / Server Administration.
- Strong hands-on experience with AWS (EC2, VPC, IAM, Security Groups, Load Balancers, S3 & CloudWatch)
- Working knowledge of Redis
- Working knowledge of MongoDB
- Strong production troubleshooting and incident-resolution skills
Key Responsibilities :
- Manage, configure, monitor, and troubleshoot Linux and bare-metal servers
- Build, maintain, and troubleshoot Jenkins CI/CD pipelines
- Deploy, manage, and troubleshoot applications using Docker
- Manage and troubleshoot AWS infrastructure and services
- Configure and maintain networking, security groups, firewalls, ports, and connectivity
- Support and maintain Redis and MongoDB environments
- Perform server health checks, log analysis, performance troubleshooting, and incident resolution
- Work closely with development teams to support application deployments
- Identify root causes of infrastructure and production issues and implement preventive solutions
- Maintain infrastructure security, availability, and reliability
- Automate repetitive operational tasks wherever possible
Required Candidate Profile :
- 3+ years of relevant experience in DevOps, Infrastructure, System Administration, or related roles.
- Strong hands-on / production experience with all mandatory technologies.
- Good understanding of Linux systems and infrastructure.
- Strong troubleshooting and problem-solving abilities.
- Ability to take ownership of production infrastructure and deployment issues.
- Good communication and collaboration skills.
Job Title : DevOps Engineer – Linux, AWS & Infrastructure
Experience : 3+ Years
Location : Sector 48, Gurgaon
Work Mode : 6 Days WFO – Monday to Saturday
Week Off : 01st & 03rd Saturday Off
Employment Type : Full-Time
Job Summary :
We are looking for a DevOps Engineer with strong hands-on experience in Linux, Networking, Server Administration, AWS, CI/CD, Containers, Kubernetes, and Infrastructure Automation. The ideal candidate should have strong troubleshooting skills, production ownership, and the ability to manage and automate infrastructure reliably.
Key Responsibilities :
- Manage and troubleshoot Linux servers, bare-metal infrastructure, and server environments.
- Perform system administration, networking, performance monitoring, and production troubleshooting.
- Design, maintain, and optimize Jenkins-based CI/CD pipelines and deployment workflows.
- Manage Docker containers and Kubernetes environments.
- Work with AWS Cloud services, infrastructure, security, and deployment environments.
- Monitor system health, application performance, logs, and infrastructure using appropriate monitoring and logging tools.
- Implement and maintain Infrastructure as Code (IaC) using tools such as Terraform or CloudFormation.
- Automate repetitive operational tasks using Python, Bash, Shell scripting, or similar technologies.
- Implement infrastructure and application security, access controls, patching, and hardening.
- Investigate production incidents, perform root-cause analysis (RCA), and drive issues to resolution.
- Take end-to-end ownership of infrastructure reliability, availability, and operational issues.
- Collaborate with development and other engineering teams to improve deployment, scalability, and system reliability.
Mandatory Skills :
Linux & Networking | Bare Metal / Server Administration | Jenkins / CI-CD | Docker / Containers | AWS Cloud | Kubernetes | Git | Monitoring & Logging | Security | Infrastructure as Code (IaC) | Automation / Scripting | Production Troubleshooting & Ownership
Preferred Skills :
- Strong understanding of TCP/IP, DNS, HTTP/HTTPS, SSH, load balancing, and networking fundamentals.
- Hands-on experience with Terraform / CloudFormation.
- Experience with Prometheus, Grafana, ELK / EFK, CloudWatch, or similar monitoring / logging tools.
- Good understanding of Linux performance troubleshooting, processes, memory, disk, networking, and file systems.
- Experience handling production incidents, RCA, deployments, and system reliability.
- Exposure to cloud security, IAM, secrets management, and server hardening.
What We’re Looking For :
- 3+ years of hands-on experience in DevOps / SRE / Infrastructure Engineering.
- Strong practical knowledge rather than certification-based/theoretical understanding.
- Good troubleshooting and analytical skills.
- Strong sense of ownership and accountability for production systems.
- Comfortable working in a 6-day work-from-office environment.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Job Title : DevOps Engineer / Site Reliability Engineer (SRE)
Experience : 4+ Years
Location : Gurugram, Sector 48, Haryana (On-site)
Employment Type : Full-Time
Working Days : Monday to Saturday (1st & 3rd Saturday Off)
About the Role :
We are looking for a hands-on DevOps Engineer / Site Reliability Engineer (SRE) with strong experience in Linux, AWS, Kubernetes, Docker, CI/CD, Infrastructure as Code, and production application deployments.
The ideal candidate should have real-world production experience, excellent troubleshooting skills, and the ability to manage both infrastructure and application-level issues.
Mandatory Skills :
Linux, AWS, Docker, Kubernetes, Terraform, Ansible, Jenkins, GitHub Actions, GitLab CI/CD, CI/CD, Infrastructure as Code (IaC), Python, Bash, Git, Grafana, Prometheus, ELK, CloudWatch, New Relic, SRE (SLI/SLO/SLA), Networking (DNS, HTTP/HTTPS, TCP/IP, Load Balancer), Production Application Deployment & Troubleshooting
Key Responsibilities :
- Manage and maintain AWS cloud infrastructure.
- Build and optimize CI/CD pipelines using Jenkins, GitHub Actions, or GitLab CI.
- Deploy, monitor, and troubleshoot applications across production environments.
- Automate infrastructure using Terraform and Ansible.
- Manage Docker containers and Kubernetes clusters.
- Monitor systems using Grafana, Prometheus, ELK, CloudWatch, and New Relic.
- Perform Linux server administration and troubleshooting.
- Handle production incidents, Root Cause Analysis (RCA), and improve system reliability.
- Collaborate with development teams to support application releases and automation.
Required Qualifications :
- Bachelor's degree in Computer Science or related field.
- 4+ years of hands-on experience in DevOps / SRE.
- Strong Linux administration and production troubleshooting skills.
- Experience with AWS and modern DevOps toolchains.
- Hands-on experience with application deployment and production support.
What We're Looking For :
- Strong practical Linux and cloud knowledge.
- Real production experience with application deployments.
- Ability to troubleshoot both infrastructure and application issues.
- Experience handling live production incidents.
- Excellent communication and problem-solving skills.
- Candidates should be comfortable with scenario-based technical discussions and demonstrate genuine hands-on expertise.
Interview Process :
- HR Screening
- Technical Round
- Client Technical Round
- Final Discussion
Note : The interview will focus on practical hands-on experience in Linux, AWS, Kubernetes, Docker, CI/CD, Infrastructure as Code, application deployment, production troubleshooting, and real-world DevOps scenarios.
We are looking for a hands-on Senior AWS Cloud Engineer to lead the infrastructure build, optimization, automation, and production deployment of a Multi-Agent AI Chatbot Platform hosted on AWS. The development environment is already in place, and the successful candidate will drive the solution through testing, integrations, and production go-live.
Key Responsibilities
- Review, validate, and optimize existing Terraform code and AWS infrastructure.
- Establish and manage integrations with enterprise platforms such as ServiceNow, Workday, and other third-party systems.
- Design, build, and support secure, scalable, and highly available AWS environments.
- Implement and automate CI/CD pipelines and Infrastructure-as-Code practices.
- Lead infrastructure testing, performance tuning, and production readiness activities.
- Drive deployment and operationalization of the platform in the Production environment.
- Implement cloud governance, security, monitoring, and FinOps best practices.
- Troubleshoot and resolve complex cloud infrastructure issues.
Required Skills & Experience
- 10+ years of IT experience with strong expertise in AWS Cloud Engineering.
- Proven experience designing, deploying, and managing AWS production environments.
- Strong hands-on experience with Terraform and Infrastructure-as-Code.
- Experience with CI/CD pipeline automation and DevOps practices.
- Expertise in AWS services including VPC, IAM, EC2, S3, Lambda, CloudWatch, and networking.
- Experience in performance optimization, reliability, and cloud cost management (FinOps).
- Strong scripting and automation skills.
- Experience integrating enterprise applications through APIs and secure connectivity patterns.
Preferred Skills
- Experience supporting AI/GenAI, chatbot, or multi-agent platforms.
- AWS Certifications (Associate/Professional).
- Banking or Financial Services domain experience.
Job Summary:
We are looking for an experienced Cloud / DevOps Engineer with strong hands-on experience in AWS, Kubernetes, OpenShift, and Linux. The candidate will be responsible for managing cloud infrastructure, containerized applications, deployments, and production environments.
Roles & Responsibilities:
- Design, deploy, and manage cloud infrastructure on AWS.
- Manage and administer Kubernetes and OpenShift environments.
- Deploy, configure, and troubleshoot containerized applications.
- Perform Linux administration, troubleshooting, and system monitoring.
- Monitor application and infrastructure performance and resolve production issues.
- Automate deployment and operational activities wherever possible.
- Work with development and operations teams to support application deployments.
- Ensure system availability, reliability, and security.
- Troubleshoot issues related to Kubernetes clusters, containers, networking, and Linux systems.
- Follow DevOps best practices for CI/CD, infrastructure management, and automation.
Required Skills:
- 7–10 years of relevant experience in Cloud/DevOps.
- Strong hands-on experience with AWS.
- Good knowledge of Kubernetes and OpenShift.
- Strong Linux administration and troubleshooting skills.
- Experience in containerization and deployment of applications.
- Good understanding of cloud infrastructure and production support.
AWS / Kubernetes / OpenShift / Linux – Job Description
Role: Cloud / DevOps Engineer
Experience: 4–8 Years
Location: Bangalore
Mandatory Skills: AWS, Kubernetes, OpenShift, Linux
Job Summary
Looking for a Cloud/DevOps Engineer with strong hands-on experience in AWS, Kubernetes, OpenShift, and Linux. The candidate will be responsible for managing cloud infrastructure, container platforms, deployments, monitoring, and troubleshooting.
Key Responsibilities
- Manage and support AWS cloud infrastructure and services.
- Deploy and manage applications using Kubernetes and OpenShift.
- Perform Linux administration, troubleshooting, and issue resolution.
- Monitor application and infrastructure health and resolve production issues.
- Work on containerized applications and deployments.
- Support scaling, configuration, upgrades, and maintenance of Kubernetes/OpenShift environments.
- Troubleshoot cloud, container, and Linux-related issues.
- Collaborate with development and operations teams for deployments and releases.
- Follow security, availability, and operational best practices.
Mandatory Skills
- Strong hands-on experience in AWS
- Good experience with Kubernetes
- Hands-on experience in OpenShift
- Strong Linux administration and troubleshooting skills
- Experience in cloud/container environment support
- Good production troubleshooting and incident management skills
We are looking for a hands-on Senior AWS Cloud Engineer to lead the infrastructure build, optimization, automation, and production deployment of a Multi-Agent AI Chatbot Platform hosted on AWS. The development environment is already in place, and the successful candidate will drive the solution through testing, integrations, and production go-live.
Key Responsibilities
- Review, validate, and optimize existing Terraform code and AWS infrastructure.
- Establish and manage integrations with enterprise platforms such as ServiceNow, Workday, and other third-party systems.
- Design, build, and support secure, scalable, and highly available AWS environments.
- Implement and automate CI/CD pipelines and Infrastructure-as-Code practices.
- Lead infrastructure testing, performance tuning, and production readiness activities.
- Drive deployment and operationalization of the platform in the Production environment.
- Implement cloud governance, security, monitoring, and FinOps best practices.
- Troubleshoot and resolve complex cloud infrastructure issues.
Required Skills & Experience
- 10+ years of IT experience with strong expertise in AWS Cloud Engineering.
- Proven experience designing, deploying, and managing AWS production environments.
- Strong hands-on experience with Terraform and Infrastructure-as-Code.
- Experience with CI/CD pipeline automation and DevOps practices.
- Expertise in AWS services including VPC, IAM, EC2, S3, Lambda, CloudWatch, and networking.
- Experience in performance optimization, reliability, and cloud cost management (FinOps).
- Strong scripting and automation skills.
- Experience integrating enterprise applications through APIs and secure connectivity patterns.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Job Description:
Pre-requisite skills required for a DevOps Engineer role include:
- 6+yrs exp in DevOps
- Experience working on Linux based infrastructure
- knowledge in AWS, docker, CI/CD tools
- Hands on exp in Python/shell scripting language
- hands on exp in AWS and Azure
- Work exp in Docker, Terraform, Ansible, Kubernetes, LINUX
- Excellent understanding of Ruby, Python, Perl, and Java
- Configuration and managing databases such as MySQL, Mongo
- Excellent troubleshooting
- Working knowledge of various tools, open-source technologies, and cloud services
As a DevOps Engineer at YOYO, you'll own the infrastructure and delivery backbone that keeps our platform running as we grow. You'll build the CI/CD, cloud infrastructure, and observability that let a small, fast-moving team ship confidently and you'll keep our AI and data workloads reliable and affordable at scale. This is a hands-on role with real ownership: you won't be maintaining someone else's setup, you'll be shaping ours. You'll work closely with the backend, AI/ML, and data teams to make deployment boring, incidents rare, and scaling a non-event.
If you are Interested DM me on LinkedIn - Saquib Mundagnur
What You'll Own
CI/CD & developer experience - Build and maintain fast, reliable CI/CD pipelines so engineers ship multiple times a day with confidence. - Make the path from commit to production simple, safe, and repeatable, with sensible automated testing, rollbacks, and release controls.Cloud infrastructure & IaC - Own our cloud infrastructure (AWS/GCP) end to end, managed as code (Terraform or similar) — no click-ops. - Design for scale and cost-efficiency as store and conversation volumes grow.
Containers & orchestration - Run our services on containers/Kubernetes: deployments, autoscaling, networking, and resource management. - Support the specific needs of AI/ML workloads, including GPU-backed inference and batch processing for the speech pipeline.
Reliability & observability (SRE) - Own uptime, performance, and incident response — monitoring, logging, tracing, alerting, on-call, and blameless postmortems. - Define and defend SLOs; keep the platform dependable as it scales across clients.
Data & pipeline infrastructure - Support the infrastructure behind large-scale, edge-to-cloud data movement and processing (audio ingestion, ASR/AI pipelines, analytics). - Keep data workloads reliable, performant, and cost-aware.
Security & compliance - Bake security into the platform: secrets management, IAM/least-privilege, encryption in transit and at rest, network hardening, and vulnerability management. - Support compliance readiness (including India's DPDP Act and enterprise-client security requirements) for a product that handles sensitive customer conversations.
Cost & scale - Own cloud cost visibility and optimization; make scaling decisions that balance reliability and spend.
What You'll Bring - 6+ years in DevOps, SRE, platform, or infrastructure engineering, running production systems at meaningful scale.
- Strong hands-on experience with a major cloud provider (**AWS or Azure or GCP**) and Infrastructure-as-Code (**Terraform** or equivalent).
- Solid experience with **containers and Kubernetes** in production. - Experience building and owning **CI/CD** pipelines (e.g. GitHub Actions, GitLab CI, Jenkins, Argo, or similar).
- Comfort with a scripting/automation language (Python, Go, or Bash) and a strong automation-first mindset.
- Real experience with **observability** (Prometheus/Grafana, ELK, Datadog, OpenTelemetry, or similar) and running incident response / on-call.
- A security-conscious approach — secrets, IAM, encryption, and least-privilege as defaults. - Startup temperament: ownership, pragmatism, and a bias to automate and ship. - Based in or willing to relocate to Bangalore, and up for an onsite/hybrid, in-person team










