11+ Enterprise storage Jobs in Bangalore (Bengaluru) | Enterprise storage Job openings in Bangalore (Bengaluru)

JOB DESCRIPTION

• Lead of IT team must guide & manage dev-ops, cloud system administrators, desktop support analysts and also assist in procure & manage assets.
• Design and develop a scalable IT infrastructure that benefits the organization.
• Take part in IT strategic planning activities that reflect the future vision of the organization.
• Introduce cost-effective best practices related to the needs of the business needs of the organization.
• Research and recommend solutions that circumvent potential technical issues.
• Provide high levels of customer service as it pertains to enterprise infrastructure.
• Review and document key performance metrics and indicators to ensure high performance of IT service delivery systems.
• Take charge of available client databases, networks, storage, servers, directories, and other technology services.
• Collaborate with the network engineer to design infrastructure improvements and changes and to troubleshoot any issues that arise.
• Plan, design, and manage infrastructure technologies that can support complex and heterogeneous corporate data and voice infrastructure.
• Execute, test and roll out innovative solutions to keep up with the growing competition technologies that can support complex and heterogeneous corporate data and voice infrastructure.
• Create and document proper installation and configuration procedures.
• Assist in handling software distributions and software updates and patches.
• Oversee deployment of systems and network integration in association with partner clients, business partners, suppliers and subsidiaries.
• Create, update, and manage IT policies.
• Manage, & drive assigned vendors. Perform cost benefit analysis and provide recommendations to management

* Bachelor’s or Master’s degree in computer science, information technology, electronics, telecommunications or any related field.

* Minimum 10 years of experience in the above mentioned fields.

We are seeking a highly experienced Azure AI, AIOps & MLOps Architect to lead enterprise-scale AI platform engineering, cloud modernization, DevSecOps transformation, and intelligent automation initiatives.

The ideal candidate should possess deep expertise in Microsoft Azure, Azure AI Foundry, Azure OpenAI, Azure Machine Learning, Kubernetes, Terraform, Azure DevOps, and enterprise observability platforms. The role will focus on designing scalable AI platforms, implementing MLOps and AIOps capabilities, enabling Agentic AI architectures, and driving cloud-native engineering practices across the organization.

Key Responsibilities

Cloud Architecture & Engineering

• Design and implement scalable, secure, and highly available solutions on Microsoft Azure.

• Define cloud architecture standards, reference architectures, and best practices.

• Lead cloud migration and modernisation initiatives across enterprise workloads.

• Implement multi-region disaster recovery and business continuity strategies.

• Oversee Azure networking, identity, security, and governance frameworks.

DevOps & CI/CD

• Architect and implement end-to-end CI/CD pipelines using Azure DevOps or GitHub Actions.

• Drive DevSecOps culture — embedding security scanning, quality gates, and compliance into the delivery pipeline.

• Champion Infrastructure-as-Code (IaC) practices using Terraform, Bicep, or ARM templates.

• Establish branching strategies, release management, and environment promotion standards.

• Define and enforce platform engineering standards and internal developer tooling.

AI & Machine Learning Integration

• Architect AI/ML solutions leveraging Azure AI services — Azure OpenAI, Azure Machine Learning, Azure AI Foundry, and Cognitive Services.

• Design intelligent automation and agentic workflows integrated into enterprise DevOps processes.

• Implement AI-powered capabilities such as code review assistance, anomaly detection, predictive analytics, and natural language automation.

• Define AI governance frameworks: model evaluation, prompt management, responsible AI, and cost controls.

• Design and implement enterprise MLOps frameworks.

• Build automated model training, validation, deployment, and monitoring pipelines.

• Establish model governance and lifecycle management.

Generative AI & Agentic AI

• Design enterprise GenAI solutions using Azure OpenAI.

• Build AI Agents using Azure AI Foundry.

• Develop Agent-to-Agent communication patterns.

• Implement Retrieval Augmented Generation (RAG) architectures.

• Build enterprise Knowledge Management and AI Skill Registry platforms.

• Design multi-agent orchestration frameworks.

Leadership & Stakeholder Engagement

• Serve as the technical authority and subject matter expert for Azure AI and DevOps practices.

• Mentor and guide junior architects, developers, and DevOps engineers.

• Collaborate with business stakeholders, product owners, and vendors to translate requirements into technical solutions.

• Produce architecture documentation, decision records (ADRs), and roadmaps.

• Represent the technology function in enterprise architecture forums and governance boards.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

• 10+ years of experience in cloud engineering and architecture.

• 5+ years of hands-on experience with Microsoft Azure across compute, networking, storage, identity, and data services.

• Proven experience designing and implementing enterprise-grade CI/CD pipelines.

• Strong hands-on expertise with Infrastructure-as-Code (Terraform, Bicep, or ARM).

• Demonstrated experience architecting and deploying AI/ML solutions on Azure (Azure OpenAI, Azure ML, AI Foundry).

• Deep knowledge of DevSecOps principles, tools, and practices.

• Experience with containerisation and orchestration: Docker, Kubernetes (AKS).

• Proficiency in scripting and development: Python, PowerShell, Bash.

• Excellent communication and stakeholder management skills.

Preferred Qualifications

• Microsoft Certified: Azure Solutions Architect Expert.

• Microsoft Certified: DevOps Engineer Expert.

• Microsoft Certified: Azure AI Engineer Associate.

• Experience with Azure API Management (APIM), Event Grid, and Azure Functions.

• Familiarity with Datadog, Prometheus, or equivalent observability platforms.

• Experience in the real estate, retail, or enterprise industry sector.

• Knowledge of agentic AI frameworks and LLM orchestration patterns (LangChain, Semantic Kernel, MCP).

• Background in building Internal Developer Platforms (IDP).

Job Details

- Job Title: Lead DevOps Engineer

- Industry: Consumer Internet, Technology & Travel and Tourism Platform

- Function - IT

- Experience Required: 7-10 years

- Employment Type: Full Time

- Job Location: Bengaluru

- CTC Range: Best in Industry

Criteria:

• Strong Lead DevOps / Infrastructure Engineer Profiles.
• Must have 7+ years of hands-on experience working as a DevOps / Infrastructure Engineer.
• Candidate’s current title must be Lead DevOps Engineer (or equivalent Lead role) in the current organization
• Must have minimum 2+ years of team management / technical leadership experience, including mentoring engineers, driving infrastructure decisions, or leading DevOps initiatives.
• Must have strong hands-on experience with Kubernetes (container orchestration) including deployment, scaling, and cluster management.
• Must have experience with Infrastructure as Code (IaC) tools such as Terraform, Ansible, Chef, or Puppet.
• Must have strong scripting and automation experience using Python, Go, Bash, or similar scripting languages.
• Must have working experience with distributed databases or data systems such as MongoDB, Redis, Cassandra, Elasticsearch, or Puppet.
• Must have strong hands-on experience in Observability & Monitoring, CI/CD architecture, and Networking concepts in production environments.
• (Company) – Must be from B2C Product Companies only.
• (Education) – B.E/ B.Tech

Preferred

• Experience working in microservices architecture and event-driven systems.
• Exposure to cloud infrastructure, scalability, reliability, and cost optimization practices.
• (Skills) – Understanding of programming languages such as Go, Python, or Java.
• (Environment) – Experience working in high-growth startup or large-scale production environments.

Job Description 

As a DevOps Engineer, you will be working on building and operating infrastructure at scale, designing and implementing a variety of tools to enable product teams to build and deploy their services independently, improving observability across the board, and designing for security, resiliency, availability, and stability. If the prospect of ensuring system reliability at scale and exploring cutting-edge technology to solve problems, excites you, then this is your fit.

Job Responsibilities:

• Own end-to-end infrastructure right from non-prod to prod environment including self-managed DBs
• Codify our infrastructure
• Do what it takes to keep the uptime above 99.99%
• Understand the bigger picture and sail through the ambiguities
• Scale technology considering cost and observability and manage end-to-end processes
• Understand DevOps philosophy and evangelize the principles across the organization
• Strong communication and collaboration skills to break down the silos

The candidate should have a background in development/programming with experience in at least one of the following: .NET, Java (Spring Boot), ReactJS, or AngularJS.

Primary Skills:

1. AWS or GCP Cloud
2. DevOps CI/CD pipelines (e.g., Azure DevOps, Jenkins)
3. Python/Bash/PowerShell scripting

Secondary Skills:

1. Docker or Kubernetes

Position Overview: We are seeking a talented and experienced Cloud Engineer specialized in AWS cloud services to join our dynamic team. The ideal candidate will have a strong background in AWS infrastructure and services, including EC2, Elastic Load Balancing (ELB), Auto Scaling, S3, VPC, RDS, CloudFormation, CloudFront, Route 53, AWS Certificate Manager (ACM), and Terraform for Infrastructure as Code (IaC). Experience with other AWS services is a plus.

Responsibilities:

• Design, deploy, and maintain AWS infrastructure solutions, ensuring scalability, reliability, and security.

• Configure and manage EC2 instances to meet application requirements.

• Implement and manage Elastic Load Balancers (ELB) to distribute incoming traffic across multiple instances.

• Set up and manage AWS Auto Scaling to dynamically adjust resources based on demand.

• Configure and maintain VPCs, including subnets, route tables, and security groups, to control network traffic.

• Deploy and manage AWS CloudFormation and Terraform templates to automate infrastructure provisioning using Infrastructure as Code (IaC) principles.

• Implement and monitor S3 storage solutions for secure and scalable data storage

• Set up and manage CloudFront distributions for content delivery with low latency and high transfer speeds.

• Configure Route 53 for domain management, DNS routing, and failover configurations.

• Manage AWS Certificate Manager (ACM) for provisioning, managing, and deploying SSL/TLS certificates.

• Collaborate with cross-functional teams to understand business requirements and provide effective cloud solutions.

• Stay updated with the latest AWS technologies and best practices to drive continuous improvement.

Qualifications:

• Bachelor's degree in computer science, Information Technology, or a related field.

• Minimum of 2 years of relevant experience in designing, deploying, and managing AWS cloud solutions.

• Strong proficiency in AWS services such as EC2, ELB, Auto Scaling, VPC, S3, RDS, and CloudFormation.

• Experience with other AWS services such as Lambda, ECS, EKS, and DynamoDB is a plus.

• Solid understanding of cloud computing principles, including IaaS, PaaS, and SaaS.

• Excellent problem-solving skills and the ability to troubleshoot complex issues in a cloud environment.

• Strong communication skills with the ability to collaborate effectively with cross-functional teams.

• Relevant AWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified DevOps Engineer, etc.) are highly desirable.

Additional Information:

• We value creativity, innovation, and a proactive approach to problem-solving.

• We offer a collaborative and supportive work environment where your ideas and contributions are valued.

• Opportunities for professional growth and development. Someshwara Software Pvt Ltd is an equal opportunity employer.

We celebrate diversity and are dedicated to creating an inclusive environment for all employees.

Responsibilities:

- Design, implement, and maintain cloud infrastructure solutions on Microsoft Azure, with a focus on scalability, security, and cost optimization.

- Collaborate with development teams to streamline the deployment process, ensuring smooth and efficient delivery of software applications.

- Develop and maintain CI/CD pipelines using tools like Azure DevOps, Jenkins, or GitLab CI to automate build, test, and deployment processes.

- Utilize infrastructure-as-code (IaC) principles to create and manage infrastructure deployments using Terraform, ARM templates, or similar tools.

- Manage and monitor containerized applications using Azure Kubernetes Service (AKS) or other container orchestration platforms.

- Implement and maintain monitoring, logging, and alerting solutions for cloud-based infrastructure and applications.

- Troubleshoot and resolve infrastructure and deployment issues, working closely with development and operations teams.

- Ensure high availability, performance, and security of cloud infrastructure and applications.

- Stay up-to-date with the latest industry trends and best practices in cloud infrastructure, DevOps, and automation.

Requirements:

- Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience).

- Minimum of four years of proven experience working as a DevOps Engineer or similar role, with a focus on cloud infrastructure and deployment automation.

- Strong expertise in Microsoft Azure services, including but not limited to Azure Virtual Machines, Azure App Service, Azure Storage, Azure Networking, Azure Security, and Azure Monitor.

- Proficiency in infrastructure-as-code (IaC) tools such as Terraform or ARM templates.

- Hands-on experience with containerization and orchestration platforms, preferably Azure Kubernetes Service (AKS) or Docker Swarm.

- Solid understanding of CI/CD principles and experience with relevant tools such as Azure DevOps, Jenkins, or GitLab CI.

- Experience with scripting languages like PowerShell, Bash, or Python for automation tasks.

- Strong problem-solving and troubleshooting skills with a proactive and analytical mindset.

- Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

- Azure certifications (e.g., Azure Administrator, Azure DevOps Engineer, Azure Solutions Architect) are a plus.

Roles and Responsibilities:

• Gather and analyse cloud infrastructure requirements

• Automating system tasks and infrastructure using a scripting language (Shell/Python/Ruby

preferred), with configuration management tools (Ansible/ Puppet/Chef), service registry and

discovery tools (Consul and Vault, etc), infrastructure orchestration tools (Terraform,

CloudFormation), and automated imaging tools (Packer)

• Support existing infrastructure, analyse problem areas and come up with solutions

• An eye for monitoring – the candidate should be able to look at complex infrastructure and be

able to figure out what to monitor and how.

• Work along with the Engineering team to help out with Infrastructure / Network automation needs.

• Deploy infrastructure as code and automate as much as possible

• Manage a team of DevOps

Desired Profile:

• Understanding of provisioning of Bare Metal and Virtual Machines

• Working knowledge of Configuration management tools like Ansible/ Chef/ Puppet, Redfish.

• Experience in scripting languages like Ruby/ Python/ Shell Scripting

• Working knowledge of IP networking, VPN's, DNS, load balancing, firewalling & IPS concepts

• Strong Linux/Unix administration skills.

• Self-starter who can implement with minimal guidance

• Hands-on experience setting up CICD from SCRATCH in Jenkins

• Experience with Managing K8s infrastructure

• Defining and documenting best practices and strategies regarding application deployment and infrastructure maintenance
• Providing guidance, thought leadership and mentorship to development teams to build cloud competencies
• Ensuring application performance, uptime, and scale, maintaining high standards of code quality and thoughtful design
• Managing cloud environments in accordance with company security guidelines
• Developing and implementing technical efforts to design, build and deploy AWS applications at the direction of lead architects, including large-scale data processing, computationally intensive statistical modeling and advanced analytics
• Participating in all aspects of the software development life cycle for AWS solutions, including planning, requirements, development, testing, and quality assurance
• Troubleshooting incidents, identifying root cause, fixing and documenting problems and implementing preventive measures
• Educating teams on the implementation of new cloud-based initiatives, providing associated training as required

Desired Candidate Profile

• Bachelor’s degree in computer science, information technology
• 2+ years of experience as architect, designing, developing, and implementing cloud solutions on AWS platforms
• Experience in several of the following areas: database architecture, ETL, business intelligence, big data, machine learning, advanced analytic
• Proven ability to collaborate with multi-disciplinary teams of business analysts, developers, data scientists and subject matter experts
• Self-motivation with the ability to drive features to delivery
• Strong analytical and problem solving skills
• Excellent oral and written communication skills
• Good logical sense, strong technical skills and the ability to learn new technologies quickly
• AWS certifications are a plus
• Knowledge of web services, API, REST, and RPC    

• Proven experience in handling large infrastructure and distributed systems like Kafka, Yarn, Elastic Search, etc..
• Familiarity with Python-related technologies and frameworks like Django or Pyramid.
• Experience with Unix/Linux operating systems internals and administration (e.g. filesystems, inodes, system calls, etc) or networking (e.g. TCP/IP, routing, network topologies, and hardware, SDN, etc)
• Familiarity with at least one of the cloud computing infrastructures - GCP / Azure / AWS
• Familiarity with task queue frameworks like Celery or Pika is a plus.
• Source code management and Implementation of security best practices.
• Experienced in building monitoring/metrics & alerting tool (APM tool), a custom dashboard for each Application stack against the supported environment
• Good understanding & implementation experience using 12-factor App principles
• Awareness of Cloud Security concepts
• Awareness of Information Security concepts and Best Practices