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REVIEW CRITERIA:
MANDATORY:
- Strong Hands-On AWS Cloud Engineering / DevOps Profile
- Mandatory (Experience 1): Must have 12+ years of experience in AWS Cloud Engineering / Cloud Operations / Application Support
- Mandatory (Experience 2): Must have strong hands-on experience supporting AWS production environments (EC2, VPC, IAM, S3, ALB, CloudWatch)
- Mandatory (Infrastructure as a code): Must have hands-on Infrastructure as Code experience using Terraform in production environments
- Mandatory (AWS Networking): Strong understanding of AWS networking and connectivity (VPC design, routing, NAT, load balancers, hybrid connectivity basics)
- Mandatory (Cost Optimization): Exposure to cost optimization and usage tracking in AWS environments
- Mandatory (Core Skills): Experience handling monitoring, alerts, incident management, and root cause analysis
- Mandatory (Soft Skills): Strong communication skills and stakeholder coordination skills
ROLE & RESPONSIBILITIES:
We are looking for a hands-on AWS Cloud Engineer to support day-to-day cloud operations, automation, and reliability of AWS environments. This role works closely with the Cloud Operations Lead, DevOps, Security, and Application teams to ensure stable, secure, and cost-effective cloud platforms.
KEY RESPONSIBILITIES:
- Operate and support AWS production environments across multiple accounts
- Manage infrastructure using Terraform and support CI/CD pipelines
- Support Amazon EKS clusters, upgrades, scaling, and troubleshooting
- Build and manage Docker images and push to Amazon ECR
- Monitor systems using CloudWatch and third-party tools; respond to incidents
- Support AWS networking (VPCs, NAT, Transit Gateway, VPN/DX)
- Assist with cost optimization, tagging, and governance standards
- Automate operational tasks using Python, Lambda, and Systems Manager
IDEAL CANDIDATE:
- Strong hands-on AWS experience (EC2, VPC, IAM, S3, ALB, CloudWatch)
- Experience with Terraform and Git-based workflows
- Hands-on experience with Kubernetes / EKS
- Experience with CI/CD tools (GitHub Actions, Jenkins, etc.)
- Scripting experience in Python or Bash
- Understanding of monitoring, incident management, and cloud security basics
NICE TO HAVE:
- AWS Associate-level certifications
- Experience with Karpenter, Prometheus, New Relic
- Exposure to FinOps and cost optimization practices
The DevOps Engineer will play a critical role in operationalizing artificial intelligence across Bell Techlogix client environments. This role focuses on building and supporting cloud infrastructure, CI/CD pipelines, and automation frameworks that power AI and machine learning workloads. The ideal candidate has experience supporting AI platforms such as Azure AI, Azure Machine Learning, Azure OpenAI, and ServiceNow or conversational AI platforms, and understands the operational requirements of production AI systems, including reliability, scalability, and security.
Key Responsibilities
•Design, build, and operate cloud infrastructure and platform services that support AI and machine learning workloads in production, SLA-driven managed services environments
•Implement CI/CD and MLOps pipelines to enable automated training, testing, deployment, and rollback of AI and ML models
•Develop and maintain Infrastructure as Code to provision AI-ready environments consistently across dev/test/prod
•Support AI platform operations including monitoring model health, pipeline execution, compute utilization, and data dependencies
•Partner with Machine Learning Engineers and Data Engineers to standardize deployment patterns for AI services and LLM-based solutions
•Enable secure and scalable AI integrations using APIs, messaging, and event-driven architectures
•Implement observability solutions for AI platforms, including logging, metrics, alerting, and drift detection integrations
•Troubleshoot AI platform incidents, perform root cause analysis, and implement remediation to improve reliability and automation coverage
•Apply security best practices for AI environments including secrets management, identity and access controls, network isolation, and policy enforcement
•Support AI-driven automation use cases across platforms such as Microsoft Copilot, ServiceNow, and conversational AI tools
•Collaborate with service desk, security, and architecture teams to continuously improve AI service delivery and operational maturity
Required Qualifications
•Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
•5+ years of experience in DevOps, cloud engineering, or platform operations, with exposure to AI or data workloads
•Hands-on experience with Microsoft Azure, including compute, networking, storage, and monitoring services
•Experience building CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools
•Working knowledge of Infrastructure as Code (Terraform and/or Bicep/ARM)
•Scripting experience using PowerShell and/or Python
•Experience supporting production platforms with incident management, change control, and root cause analysis
•Understanding of cloud security fundamentals and enterprise governance requirements
Preferred Qualifications
•Experience with Azure Machine Learning, Azure AI Services, Azure OpenAI, or MLOps frameworks
•Exposure to containerization and orchestration technologies (Docker, Kubernetes, AKS)
•Experience supporting data pipelines or feature stores used by machine learning systems
•Familiarity with ServiceNow, AI-driven ITSM workflows, or automation platforms
•Experience with observability tools
•Knowledge of Responsible AI, data governance, and compliance considerations for AI systems
•Relevant certifications (Microsoft Azure Administrator, Azure DevOps Engineer, Azure AI Engineer)
Work mode- WFO 5 days
Location: Hyderabad (Onsite)
Experience- 4-6 yrs
- K8s Hands-on experience
- Linux Troubleshooting Skills
- Experience on OnPrem Servers and Management
- Helm
- Docker
- Ingress and Ingress Controllers
- Networking Basics
- Proficient Communication
Must-Have Skills:
- Hands-on experience with airgap Kubernetes clusters, ideally in regulated industries (finance, healthcare, etc.).
- Strong expertise in CI/CD pipelines, programmable infrastructure, and automation.
- Proficiency in Linux troubleshooting, observability (Prometheus, Grafana, ELK), and multi-region disaster recovery.
- Security & compliance knowledge for regulated industries.
- Preferred: Experience with GKE, RKE, Rook-Ceph, and certifications like CKA, CKAD.
Who You Are
- A Kubernetes expert who thrives on scalability, automation, and security.
- Passionate about optimizing infrastructure, CI/CD, and high-availability systems.
- Comfortable troubleshooting Linux, improving observability, and ensuring disaster recovery readiness.
- A problem solver who simplifies complexity and drives cloud-native adoption.
What You’ll Do
- Architect & automate Kubernetes solutions for airgap and multi-region clusters.
- Optimize CI/CD pipelines & cloud-native deployments.
- Work with open-source projects, selecting the right tools for the job.
- Educate & guide teams on modern cloud-native infrastructure best practices.
- Solve real-world scaling, security, and infrastructure automation challenges.
Why Join Us?
- Work on high-impact Kubernetes projects in regulated industries.
- Solve real-world automation & infrastructure challenges with cutting-edge tools.
- Grow in a team that values learning, open-source contributions, and innovation.
- 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
(Candidates from Service based Companies apply-Looking for automation(shell or python scripting))
SHIFT- Shift time either US East coast or west coast (2:30 PM to 10:30 PM India time or 5 to 2 am india time)
Exp- 5 to 8 years
Salary- Upto 25 LPA
Hyderabad based candidates preferred!
Immediate joiners would be preferred!!
Role Objective:
- Ability to identify processes where efficiency could be improved via automation
- Ability to research, prototype, iterate and test automation solutions
- Good Technical understanding of Cloud service offering, with a sound appreciation of the associated business processes.
- Ability to build & maintain a strong working relationship with other Technical teams using the agile methodology (internal and external), Infrastructure Partners and Service Engagement Managers.
- Ability to shape and co-ordinate delivery of key initiatives to deliver improvements in stability
- Good understanding of the cost of the e2e service provision, and delivery of associated savings.
- Knowledge of web security principals
- Strong Linux experience – comfortable working from command line
- Some networking knowledge (routing, DNS)
- Knowledge of HA and DR concepts and experience implementing them
- Working with team to analyse and design infrastructure with 99.99% up-time.
Qualifications:
- Infrastructure automation through DevOps scripting (Eg Python, Ruby, PowerShell, Java, shell) or previous software development experience
- Experience in building and managing production cloud environments from the ground up.
- Hands-on, working experience with primary AWS services (EC2, VPC, RDS, Route53, S3)
- Knowledge on repository management (GitHub, SVN)
- Solid understanding of web application architecture and RDBMS (SQL Server preferred).
- Experience with IT compliance and risk management requirements is a bonus. (Eg Security, Privacy, HIPAA, SOX, etc)
- Strong logical, analytical and problem-solving skills with excellent communication skills.
- Should have degree in computer science, MIS, engineering or equivalent with 5+ years of experience.
- Should be willing to work in rotational shifts (including the nights)
Perks and benefits:
- Health & Wellness
- Paid time off
- Learning at work
- Fun at work
- Night shift allowance
- Comp off
- Pick and drop facility available to certain distance
Experience: 3+ years of experience in Cloud Architecture
About Company:
The company is a global leader in secure payments and trusted transactions. They are at the forefront of the digital revolution that is shaping new ways of paying, living, doing business and building relationships that pass on trust along the entire payments value chain, enabling sustainable economic growth. Their innovative solutions, rooted in a rock-solid technological base, are environmentally friendly, widely accessible and support social transformation.
Cloud Architect / Lead
- Role Overview
- Senior Engineer with a strong background and experience in cloud related technologies and architectures. Can design target cloud architectures to transform existing architectures together with the in-house team. Can actively hands-on configure and build cloud architectures and guide others.
- Key Knowledge
- 3-5+ years of experience in AWS/GCP or Azure technologies
- Is likely certified on one or more of the major cloud platforms
- Strong experience from hands-on work with technologies such as Terraform, K8S, Docker and orchestration of containers.
- Ability to guide and lead internal agile teams on cloud technology
- Background from the financial services industry or similar critical operational experience
- Collaborate with Dev, QA and Data Science teams on environment maintenance, monitoring (ELK, Prometheus or equivalent), deployments and diagnostics
- Administer a hybrid datacenter, including AWS and EC2 cloud assets
- Administer, automate and troubleshoot container based solutions deployed on AWS ECS
- Be able to troubleshoot problems and provide feedback to engineering on issues
- Automate deployment (Ansible, Python), build (Git, Maven. Make, or equivalent) and integration (Jenkins, Nexus) processes
- Learn and administer technologies such as ELK, Hadoop etc.
- A self-starter and enthusiasm to learn and pick up new technologies in a fast-paced environment.
Need to have
- Hands-on Experience in Cloud based DevOps
- Experience working in AWS (EC2, S3, CloudFront, ECR, ECS etc)
- Experience with any programming language.
- Experience using Ansible, Docker, Jenkins, Kubernetes
- Experience in Python.
- Should be very comfortable working in Linux/Unix environment.
- Exposure to Shell Scripting.
- Solid troubleshooting skills
Hi ,
Greetings from ToppersEdge.com India Pvt Ltd
We have job openings for our Client. Kindly find the details below:
Work Location : Bengaluru(remote axis presently)later on they should relocate to Bangalore.
Shift Timings – general shift
Job Type – Permanent Position
Experience – 3-7 years
Candidate should be from Product Based Company only
Job Description
We are looking to expand our DevOps team. This team is responsible for writing scripts to set up infrastructure to support 24*7 availability of the Netradyne services. The team is also responsible for setting up monitoring and alerting, to troubleshoot any issues reported in multiple environments. The team is responsible for triaging of production issues and providing appropriate and timely response to customers.
Requirements
- B Tech/M Tech/MS in Computer Science or a related field from a reputed university.
- Total industry experience of around 3-7 years.
- Programming experience in Python, Ruby, Perl or equivalent is a must.
- Good knowledge and experience of configuration management tool (like Ansible, etc.)
- Good knowledge and experience of provisioning tools (like Terraform, etc.)
- Good knowledge and experience with AWS.
- Experience with setting up CI/CD pipelines.
- Experience, in individual capacity, managing multiple live SaaS applications with high volume, high load, low-latency and high availability (24x7).
- Experience setting up web servers like apache, application servers like Tomcat/Websphere and databases (RDBMS and NoSQL).
- Good knowledge of UNIX (Linux) administration tools.
- Good knowledge of security best practices and knowledge of relevant tools (Firewalls, VPN) etc.
- Good knowledge of networking concepts and UNIX administration tools.
- Ability to troubleshoot issues quickly is required.
Job Dsecription: (8-12 years)
○ Develop best practices for team and also responsible for the architecture
○ solutions and documentation operations in order to meet the engineering departments quality and standards
○ Participate in production outage and handle complex issues and works towards Resolution
○ Develop custom tools and integration with existing tools to increase engineering Productivity
Required Experience and Expertise
○ Deep understanding of Kernel, Networking and OS fundamentals
○ Strong experience in writing helm charts.
○ Deep understanding of K8s.
○ Good knowledge in service mesh.
○ Good Database understanding
Notice Period: 30 day max
Job Description
- Experienced in Cloud (AWS, Digital Ocean, Google& Azure) development and System Operations.
- Cloud Storage Services and prior experience in designing and building infrastructure components in Amazon. DigitalOcean (or other cloud providers).
- Strong Linux experience (Red Hat 6.x/CentOS 5.x & 6.x, Debian).
- Expert Knowledge in - Git, Jenkins
- Should have experience in CI/CD Automation using tools like Jenkins, Ansible, puppet/Mcollective, Chef Docker, Kubernetes, GIT, Ansible, Terraform, Packer, Hashicorp Vault Docker, Kubernetes, Python Scripting etc.
- Good working knowledge with scripting languages such as Python, php
- Good communications and Presentation Skills
Preferred Education:
Bachelor's Degree or global equivalent in Computer Science or related field



