Azure Cloud Engineer

We are seeking an experienced Lead DevOps Engineer with deep expertise in Kubernetes infrastructure design and implementation. This role requires someone who can architect, build, and manage enterprise-grade Kubernetes clusters from the ground up. You’ll lead modernization initiatives, shape infrastructure strategy, and work with cutting-edge cloud-native technologies.

🚀 Key Responsibilities

Infrastructure Design & Implementation

• Architect and design enterprise-grade Kubernetes clusters across AWS, Azure, and GCP.
• Build production-ready Kubernetes infrastructure with HA, scalability, and security best practices.
• Implement Infrastructure as Code with Terraform, Helm, and GitOps workflows.
• Set up monitoring, logging, and observability for Kubernetes workloads.
• Design and execute backup and disaster recovery strategies for containerized applications.

Leadership & Team Management

• Lead a team of 3–4 DevOps engineers, providing technical mentorship.
• Drive best practices in containerization, orchestration, and cloud-native development.
• Collaborate with development teams to optimize deployment strategies.
• Conduct code reviews and maintain infrastructure quality standards.
• Build knowledge-sharing culture with documentation and training.

Operational Excellence

• Manage and scale CI/CD pipelines integrated with Kubernetes.
• Implement security policies (RBAC, network policies, container scanning).
• Optimize cluster performance and cost-efficiency.
• Automate operations to minimize manual interventions.
• Ensure 99.9% uptime for production workloads.

Strategic Planning

• Define the infrastructure roadmap aligned with business needs.
• Evaluate and adopt new cloud-native technologies.
• Perform capacity planning and cloud cost optimization.
• Drive risk assessment and mitigation strategies.

🛠 Must-Have Technical Skills

Kubernetes Expertise

• 6+ years of hands-on Kubernetes experience in production.
• Deep knowledge of Kubernetes architecture (etcd, API server, scheduler, kubelet).
• Advanced Kubernetes networking (CNI, Ingress, Service mesh).
• Strong grasp of Kubernetes storage (CSI, PVs, StorageClasses).
• Experience with Operators and Custom Resource Definitions (CRDs).

Infrastructure as Code

• Terraform (advanced proficiency).
• Helm (developing and managing complex charts).
• Config management tools (Ansible, Chef, Puppet).
• GitOps workflows (ArgoCD, Flux).

Cloud Platforms

• Hands-on experience with at least 2 of the following:
• AWS: EKS, EC2, VPC, IAM, CloudFormation
• Azure: AKS, VNets, ARM templates
• GCP: GKE, Compute Engine, Deployment Manager

CI/CD & DevOps Tools

• Jenkins, GitLab CI, GitHub Actions, Azure DevOps
• Docker (advanced optimization and security practices)
• Container registries (ECR, ACR, GCR, Docker Hub)
• Strong Git workflows and branching strategies

Monitoring & Observability

• Prometheus & Grafana (metrics and dashboards)
• ELK/EFK stack (centralized logging)
• Jaeger/Zipkin (tracing)
• AlertManager (intelligent alerting)

💡 Good-to-Have Skills

• Service Mesh (Istio, Linkerd, Consul)
• Serverless (Knative, OpenFaaS, AWS Lambda)
• Running databases in Kubernetes (Postgres, MongoDB operators)
• ML pipelines (Kubeflow, MLflow)
• Security tools (Aqua, Twistlock, Falco, OPA)
• Compliance (SOC2, PCI-DSS, GDPR)
• Python/Go for automation
• Advanced Shell scripting (Bash/PowerShell)

🎓 Qualifications

• Bachelor’s in Computer Science, Engineering, or related field.
• Certifications (preferred):
• Certified Kubernetes Administrator (CKA)
• Certified Kubernetes Application Developer (CKAD)
• Cloud provider certifications (AWS/Azure/GCP).

Experience

• 6–7 years of DevOps/Infrastructure engineering.
• 4+ years of Kubernetes in production.
• 2+ years in a lead role managing teams.
• Experience with large-scale distributed systems and microservices.

Skills Required:

- Good experience with programming language Python
- Strong experience in Docker.
- Good knowledge with any of the Cloud Platform like Azure.
- Must be comfortable working in a Linux environment.
- Must have exposure into IOT domain and its protocols ((Zigbee & BLE ,LoRa,Modbus)
- Must be a good team player.
- Strong Communication Skills

Experience: 3+ years of experience in Cloud Architecture

About Company:

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

JOB RESPONSIBILITIES:

• Responsible for design, implementation, and continuous improvement on automated CI/CD infrastructure
• Displays technical leadership and oversight of implementation and deployment planning, system integration, ongoing data validation processes, quality assurance, delivery, operations, and sustainability of technical solutions
• Responsible for designing topology to meet requirements for uptime, availability, scalability, robustness, fault tolerance & security
• Implement proactive measures for automated detection and resolution of recurring operational issues
• Lead operational support team manage incidents, document root cause and tracking preventive measures
• Identifying and deploying cybersecurity measures by continuously validating/fixing vulnerability assessment reports and risk management
• Responsible for the design and development of tools, installation procedures
• Develops and maintains accurate estimates, timelines, project plans, and status reports
• Organize and maintain packaging and deployment of various internal modules and third-party vendor libraries
• Responsible for the employment, timely performance evaluation, counselling, employee development, and discipline of assigned employees.
• Participates in calls and meetings with customers, vendors, and internal teams on regular basis.
• Perform infrastructure cost analysis and optimization

SKILLS & ABILITIES

Experience: Minimum of 10 years of experience with good technical knowledge regarding build, release, and systems engineering

Technical Skills:

• Experience with DevOps toolchains such as Docker, Rancher, Kubernetes, Bitbucket
• Experience with Apache, Nginx, Tomcat, Prometheus ,Grafana
• Ability to learn/use a wide variety of open-source technologies and tools
• Sound understanding of cloud technologies preferably AWS technologies
• Linux, Windows, Scripting, Configuration Management, Build and Release Engineering
• 6 years of experience in DevOps practices, with a good understanding of DevOps and Agile principles
• Good scripting skills (Python/Perl/Ruby/Bash)
• Experience with standard continuous integration tools Jenkins/Bitbucket Pipelines
• Work on software configuration management systems (Puppet/Chef/Salt/Ansible)
• Microsoft Office Suite (Word, Excel, PowerPoint, Visio, Outlook) and other business productivity tools
• Working knowledge on HSM and PKI (Good to have)

Location:

• Bangalore

Experience:

• 10 + Years.

Designation - DevOps Engineer

Urgently required. (NP of maximum 15 days)

Location:- Mumbai

Experience:- 3-5 years.

Package Offered:- Rs.4,00,000/- to Rs.7,00,000/- pa.

DevOps Engineer Job Description:-

Responsibilities

• Deploy updates and fixes
• Provide Level 2 technical support
• Build tools to reduce occurrences of errors and improve customer & client experience
• Develop software to integrate with internal back-end systems
• Perform root cause analysis for production errors
• Investigate and resolve technical issues
• Develop scripts to automate visualization
• Design procedures for system troubleshooting and maintenance

Requirements

• Work experience as a DevOps Engineer or similar software engineering role
• Work experience on AWS
• Good knowledge of Ruby or Python
• Working knowledge of databases and SQL
• Problem-solving attitude
• Team spirit
• BSc in Computer Science, Engineering or relevant field

What you need to have:

At Neurosensum we are committed to make customer feedback more actionable. We have developed a platform called SurveySensum which breaks the conventional market research turnaround time. 

SurveySensum is becoming a great tool to not only capture the feedbacks but also to extract some useful insights with the quick workflow setups and dashboards. We have more than 7 channels through which we can collect the feedbacks. This makes us challenge the conventional software development design principles. The team likes to grind and helps each other to lift in tough situations. 

Day to day responsibilities include:

1. Work on the deployment of code via Bitbucket, AWS CodeDeploy and manual
2. Work on Linux/Unix OS and Multi tech application patching
3. Manage, coordinate, and implement software upgrades, patches, and hotfixes on servers.
4. Create and modify scripts or applications to perform tasks
5. Provide input on ways to improve the stability, security, efficiency, and scalability of the environment
6. Easing developers’ life so that they can focus on the business logic rather than deploying and maintaining it. 
7. Managing release of the sprint. 
8. Educating team of the best practices.
9. Finding ways to avoid human error and save time by automating the processes using Terraform, CloudFormation, Bitbucket pipelines, CodeDeploy, scripting
10. Implementing cost effective measure on cloud and minimizing existing costs.

Skills and prerequisites

1. OOPS knowledge
2. Problem solving nature
3. Willing to do the R&D
4. Works with the team and support their queries patiently 
5. Bringing new things on the table - staying updated 
6. Pushing solution above a problem. 
7. Willing to learn and experiment
8. Techie at heart
9. Git basics
10. Basic AWS or any cloud platform – creating and managing ec2, lambdas, IAM, S3 etc
11. Basic Linux handling 
12. Docker and orchestration (Great to have)
13. Scripting – python (preferably)/bash