DevOps Engineer

Associate Principal Engineer, Linux Administrator

Location: Bengaluru, India (Hybrid)

Employment Type: Full-time

Experience:9-11 years

Job description

REQUIREMENTS:

• Strong experience in DevOps, Platform Engineering, and Infrastructure Automation
• Deep hands-on expertise in Linux Administration (RHEL, CentOS, Ubuntu) – OS hardening, security, patching, and performance management (Must Have)
• Strong experience with Cloud Technologies – Public & Private Cloud environments (Must Have)
• Hands-on experience with Infrastructure as Code (IaC) using Terraform (Must Have)
• Strong automation expertise using Ansible for configuration management and infrastructure provisioning (Must Have)
• Experience building and managing CI/CD pipelines and end-to-end deployment automation
• Strong experience with Kubernetes administration, orchestration, and cluster management (Must Have)
• Hands-on experience with Docker containerization and Helm package management
• Experience managing large-scale development and infrastructure environments
• Strong understanding of Networking concepts, connectivity, design, troubleshooting, and network automation
• Experience with Observability & Monitoring tools and best practices
• Experience with Proxmox virtualization platform administration and management
• Knowledge of Edge Technologies and distributed infrastructure environments
• Basic understanding and administration of Active Directory (AD)
• Experience implementing AI-driven Automation solutions and operational efficiencies
• Strong understanding of infrastructure security, compliance, and governance
• Experience working in Agile/Scrum environments
• Strong troubleshooting, analytical, and problem-solving skills
• Excellent communication and stakeholder management skills

RESPONSIBILITIES:

• Design, build, and manage scalable infrastructure platforms across cloud and on-premise environments
• Administer and maintain Linux servers including security hardening, patching, performance tuning, and troubleshooting
• Develop and manage Infrastructure as Code (IaC) solutions using Terraform
• Automate infrastructure provisioning, configuration management, and operational tasks using Ansible
• Design, implement, and maintain CI/CD pipelines for application and infrastructure deployments
• Deploy, manage, and optimize Kubernetes clusters and containerized workloads
• Manage Docker environments and Helm-based application deployments
• Design and implement network solutions ensuring security, reliability, and scalability
• Monitor infrastructure health, performance, and availability using observability and monitoring tools
• Manage and support Proxmox virtualization environments
• Implement AI-driven automation initiatives to improve operational efficiency and reduce manual effort
• Support edge infrastructure deployments and distributed computing environments
• Collaborate with development, security, and operations teams to deliver reliable platform services
• Troubleshoot production incidents and perform root cause analysis
• Define infrastructure standards, automation frameworks, and operational best practices
• Ensure high availability, scalability, security, and reliability of infrastructure platforms
• Mentor junior engineers and provide technical leadership on DevOps and platform engineering initiatives
• Participate in Agile ceremonies and contribute to continuous improvement initiatives
• Work closely with stakeholders to understand infrastructure requirements and deliver optimal solutions

Qualifications

Bachelor’s or master’s degree in computer science, Information Technology, or a related fields

Role: Azure DevOps AI Architect

Location: Bangalore (Onsite)

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 computer, 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 containerization 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).

Location: Bangalore

Experience: 2–5 years

Type: Full-time | On-site

Open Roles: 1

Start: Immediate

Why this role exists

Most engineering teams choose between speed and stability.

We need both.

Today:

• Deployments carry risk
• Cloud costs are higher than they should be
• Compliance is reactive, not built-in

This role exists to build a platform where:

• We can deploy fast without breaking production
• We can scale without runaway cost
• We can pass enterprise InfoSec reviews without firefighting

What you’ll do

You will not just manage infrastructure.

You will build the platform that engineering runs on.

1. Drive cloud cost efficiency

• Reduce Azure compute spend by 40%
• Implement:
• Reserved Instances / savings plans
• Right-sizing of workloads
• Scheduling for non-critical workloads
• Continuously monitor and optimize cost vs performance

2. Build zero-downtime deployment systems

• Ship a deployment pipeline that supports:
• 5+ production deployments per week
• Zero customer-visible downtime
• Implement:
• Blue-green / canary deployments
• Automated health checks
• Safe rollout strategies

3. Enable fast and safe releases

• Reduce time-to-launch significantly
• Ensure:
• High reliability in every release
• Ability to rollback instantly if something breaks
• Create systems where:
• Scaling up is seamless when things go right
• Failures are contained when they don’t

4. Build disaster recovery and compliance readiness

• Create DR/BCP systems that pass enterprise audits from:
• HDFC Life, SBI Life
• Ensure:
• Backup and recovery processes are defined and tested
• Failover strategies are documented and executable
• Build compliance as part of the system, not an afterthought

5. Embed security into the pipeline

• Integrate:
• SAST (Static Application Security Testing)
• DAST (Dynamic Application Security Testing)
• SCA (Software Composition Analysis)
• Secret scanning
• Container scanning
• IaC scanning
• Ensure vulnerabilities are caught before deployment

6. Enforce policy-as-code

• Implement:
• OPA / Gatekeeper
• Azure Policy
• Prevent non-compliant infrastructure from being deployed
• Ensure consistency across environments

7. Build a scalable platform layer

• Create systems that:
• Support increasing deployment frequency
• Maintain reliability under scale
• Work closely with backend and SRE teams to:
• Improve system stability
• Reduce operational overhead

What success looks like

• Cloud costs reduce by ≥ 40%
• Deployments are:
• Frequent
• Safe
• Invisible to customers
• Rollbacks are instant and reliable
• DR/BCP passes enterprise audits in the first attempt
• Security is embedded in the pipeline, not patched later
• Engineering teams ship faster with confidence

Who you are

• You have 2-5 years of experience in DevOps / Platform Engineering
• You have worked with:
• Cloud platforms (Azure preferred)
• CI/CD systems
• Infrastructure as Code
• You think in:
• Systems
• Trade-offs (speed vs reliability vs cost)
• You are comfortable owning:
• Production infrastructure
• Deployment systems

What will make you stand out

• Experience with:
• High-frequency deployment systems
• Cost optimization at scale
• Security-first pipelines
• Strong understanding of:
• Kubernetes / container orchestration
• Monitoring and observability
• Distributed system reliability
• Experience passing enterprise security/compliance audits

Why join

• You will define how engineering ships and scales
• Your work directly impacts:
• Reliability
• Cost
• Deployment velocity
• You will build a platform that moves from:
• Fragile → predictable and scalable

What this role is not

• Not manual infra management
• Not reactive firefighting
• Not limited to CI/CD maintenance

What this role is

• A builder of deployment systems
• A driver of cost efficiency
• A guardian of reliability and compliance

One question to self-evaluate

Can you build a platform where we deploy faster, spend less, and never break production?

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)

Salesforce DevOps/Release Engineer

Resource type - Salesforce DevOps/Release Engineer

Experience - 5 to 8 years

Norms - PF & UAN mandatory

Resource Availability - Immediate or Joining time in less than 15 days

Job - Remote

Shift timings - UK timing (1pm to 10 pm or 2pm to 11pm)

Required Experience:

• 5–6 years of hands-on experience in Salesforce DevOps, release engineering, or deployment management.
• Strong expertise in Salesforce deployment processes, including CI/CD pipelines.
• Significant hands-on experience with at least two of the following tools: Gearset, Copado,Flosum.
• Solid understanding of Salesforce architecture, metadata, and development lifecycle.
• Familiarity with version control systems (e.g., Git) and agile methodologies

Key Responsibilities:

• Design, implement, and manage CI/CD pipelines for Salesforce deployments using Gearset, Copado, or Flosum.
• Automate and optimize deployment processes to ensure efficient, reliable, and repeatable releases across Salesforce environments.
• Collaborate with development, QA, and operations teams to gather requirements and ensurealignment of deployment strategies.
• Monitor, troubleshoot, and resolve deployment and release issues.
• Maintain documentation for deployment processes and provide training on best practices.
• Stay updated on the latest Salesforce DevOps tools, features, and best practices.

Technical Skills:

• Deployment ToolsHands-on with Gearset, Copado, Flosum for Salesforce deployments
• CI/CDBuilding and maintaining pipelines, automation, and release management
• Version ControlProficiency with Git and related workflows
• Salesforce PlatformUnderstanding of metadata, SFDX, and environment management
• Scripting
• Familiarity with scripting (e.g., Shell, Python) for automation (preferred)
• Communication
• Strong written and verbal communication skills

Preferred Qualifications:

Bachelor’s degree in Computer Science, Information Technology, or related field.

Certifications:

Salesforce certifications (e.g., Salesforce Administrator, Platform Developer I/II) are a plus.

Experience with additional DevOps tools (Jenkins, GitLab, Azure DevOps) is beneficial.

Experience with Salesforce DX and deployment strategies for large-scale orgs. 

About Us -Celebal Technologies is a premier software services company in the field of Data Science, Big Data and Enterprise Cloud. Celebal Technologies helps you to discover the competitive advantage by employing intelligent data solutions using cutting-edge technology solutions that can bring massive value to your organization. The core offerings are around "Data to Intelligence", wherein we leverage data to extract intelligence and patterns thereby facilitating smarter and quicker decision making for clients. With Celebal Technologies, who understands the core value of modern analytics over the enterprise, we help the business in improving business intelligence and more data-driven in architecting solutions.

Key Responsibilities

•        As a part of the DevOps team, you will be responsible for configuration, optimization, documentation, and support of the CI/CD components.

•        Creating and managing build and release pipelines with Azure DevOps and Jenkins.

•        Assist in planning and reviewing application architecture and design to promote an efficient deployment process.

•        Troubleshoot server performance issues & handle the continuous integration system.

•        Automate infrastructure provisioning using ARM Templates and Terraform.

•        Monitor and Support deployment, Cloud-based and On-premises Infrastructure.

•        Diagnose and develop root cause solutions for failures and performance issues in the production environment.

•        Deploy and manage Infrastructure for production applications

•        Configure security best practices for application and infrastructure

Essential Requirements

•        Good hands-on experience with cloud platforms like Azure, AWS & GCP. (Preferably Azure)

•        Strong knowledge of CI/CD principles.

•        Strong work experience with CI/CD implementation tools like Azure DevOps, Team city, Octopus Deploy, AWS Code Deploy, and Jenkins.

•        Experience of writing automation scripts with PowerShell, Bash, Python, etc.

•        GitHub, JIRA, Confluence, and Continuous Integration (CI) system.

•        Understanding of secure DevOps practices

Good to Have -

•        Knowledge of scripting languages such as PowerShell, Bash

•        Experience with project management and workflow tools such as Agile, Jira, Scrum/Kanban, etc.

•        Experience with Build technologies and cloud services. (Jenkins, TeamCity, Azure DevOps, Bamboo, AWS Code Deploy)

•        Strong communication skills and ability to explain protocol and processes with team and management.

•        Must be able to handle multiple tasks and adapt to a constantly changing environment.

•        Must have a good understanding of SDLC.

•        Knowledge of Linux, Windows server, Monitoring tools, and Shell scripting.

•        Self-motivated; demonstrating the ability to achieve in technologies with minimal supervision.

•        Organized, flexible, and analytical ability to solve problems creatively.

You need to drive automation for implementing scalable and robust applications. You would indulge your dedication and passion to build server-side optimization ensuring low-latency and high-end performance for the cloud deployed within datacentre. You should have sound knowledge of Open stack and Kubernetes domain.

YOUR ‘OKR’ SUMMARY

OKR means Objective and Key Results.

As a DevOps Engineer, you will understand the overall movement of data in the entire platform, find bottlenecks,define solutions, develop key pieces, write APIs and own deployment of those. You will work with internal and external development teams to discover these opportunities and to solve hard problems. You will also guide engineers in solving the complex problems, developing your acceptance tests for those and reviewing the work and

the test results.

What you will do

• As a DevOps Engineer responsible for systems being used by customer across the globe.
• Set the goals for overall system and divide into goals for the sub-system.
• Guide/motivate/convince/mentor the architects on sub-systems and help them achieving improvements with agility and speed.

• Identify the performance bottleneck and come up with the solution to optimize time and cost taken by build/test system.

• Be a thought leader to contribute to the capacity planning for software/hardware, spanning internal and public cloud, solving the trade-off between turnaround time and utilization.

• Bring in technologies enabling massively parallel systems to improve turnaround time by an order of magnitude.

What you will need

A strong sense of ownership, urgency, and drive. As an integral part of the development team, you will need the following skills to succeed.

• BS or BE/B.Tech or equivalent experience in EE/CS with 10+ years of experience.
• Strong background of Architecting and shipping distributed scalable software product with good understanding of system programming.

• Excellent background of Cloud technologies like: OpenStack, Docker, Kubernetes, Ansible, Ceph is must.
• Excellent understanding of hybrid, multi-cloud architecture and edge computing concepts.
• Ability to identify the bottleneck and come up with solution to optimize it.
• Programming and software development skills in Python, Shell-script along with good understanding of distributed systems and REST APIs.

• Experience in working with SQL/NoSQL database systems such as MySQL, MongoDB or Elasticsearch.
• Excellent knowledge and working experience with Docker containers and Virtual Machines.
• Ability to effectively work across organizational boundaries to maximize alignment and productivity between teams.

• Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate.

• Deep understanding of technology and passionate about what you do.
• Background in designing high performant scalable software systems with strong focus to optimizehardware cost.

• Solid collaborative and interpersonal skills, specifically a proven ability to effectively guide andinfluence within a dynamic environment.

• Strong commitment to get the most performance out of a system being worked on.
• Prior development of a large software project using service-oriented architecture operating with real time constraints.

What's In It for You?

• You will get a chance to work on cloud-native and hyper-scale products
• You will be working with industry leaders in cloud.
• You can expect a steep learning curve.
• You will get the experience of solving real time problems, eventually you become a problem solver.

Benefits & Perks:

• Competitive Salary
• Health Insurance
• Open Learning - 100% Reimbursement for online technical courses.
• Fast Growth - opportunities to grow quickly and surely
• Creative Freedom + Flat hierarchy
• Sponsorship to all those employees who represent company in events and meet ups.
• Flexible working hours
• 5 days week
• Hybrid Working model (Office and WFH)

Our Hiring Process:

Candidates for this position can expect the hiring process as follows (subject to successful clearing of every round)

• Initial Resume screening call with our Recruiting team
• Next, candidates will be invited to solve coding exercises.
• Next, candidates will be invited for first technical interview
• Next, candidates will be invited for final technical interview
• Finally, candidates will be invited for Culture Plus interview with HR
• Candidates may be asked to interview with the Leadership team
• Successful candidates will subsequently be made an offer via email

As always, the interviews and screening call will be conducted via a mix of telephonic and video call.

So, if you are looking at an opportunity to really make a difference- make it with us…

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Client: Sony Corporation

Position: 3

Exp: 5-8Years

DevOps Engineer

Location: Bangalore

Budget: 16.5 LPA Max

Gerrit ,Jenkins, Rabbit MQ AWS Linux
Python ,Ansible, Tomcat ,Postgresql
Grafana ,Groovy,HTML,Shell,Apache,Git , ELK

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.