11+ ArangoDB Jobs in Hyderabad | ArangoDB Job openings in Hyderabad

Main tasks

• Supervision of the CI/CD process for the automated builds and deployments of web services and web applications as well as desktop tool in the cloud and container environment
• Responsibility of the operations part of a DevOps organization especially for development in the environment of container technology and orchestration, e.g. with Kubernetes
• Installation, operation and monitoring of web applications in cloud data centers for the purpose of development of the test as well as for the operation of an own productive cloud
• Implementation of installations of the solution especially in the container context
• Introduction, maintenance and improvement of installation solutions for development in the desktop and server environment as well as in the cloud and with on-premise Kubernetes
• Maintenance of the system installation documentation and implementation of trainings

Execution of internal software tests and support of involved teams and stakeholders

• Hands on Experience with Azure DevOps.

Qualification profile

• Bachelor’s or master’s degree in communications engineering, electrical engineering, physics or comparable qualification
• Experience in software
• Installation and administration of Linux and Windows systems including network and firewalling aspects
• Experience with build and deployment automation with tools like Jenkins, Gradle, Argo, AnangoDB or similar as well as system scripting (Bash, Power-Shell, etc.)
• Interest in operation and monitoring of applications in virtualized and containerized environments in cloud and on-premise
• Server environments, especially application, web-and database servers
• Knowledge in VMware/K3D/Rancer is an advantage
• Good spoken and written knowledge of English

Job Details

- Job Title: DevOps and SRE -Technical Project Manager

- Industry: Global digital transformation solutions provider

- Domain - Information technology (IT)

- Experience Required: 12-15 years

- Employment Type: Full Time

- Job Location: Bangalore, Chennai, Coimbatore, Hosur & Hyderabad

- CTC Range: Best in Industry

Job Description

Company’s DevOps Practice is seeking a highly skilled DevOps and SRE Technical Project Manager to lead large-scale transformation programs for enterprise customers. The ideal candidate will bring deep expertise in DevOps and Site Reliability Engineering (SRE), combined with strong program management, stakeholder leadership, and the ability to drive end-to-end execution of complex initiatives.

Key Responsibilities

• Lead the planning, execution, and successful delivery of DevOps and SRE transformation programs for enterprise clients, including full oversight of project budgets, financials, and margins.
• Partner with senior stakeholders to define program objectives, roadmaps, milestones, and success metrics aligned with business and technology goals.
• Develop and implement actionable strategies to optimize development, deployment, release management, observability, and operational workflows across client environments.
• Provide technical leadership and strategic guidance to cross-functional engineering teams, ensuring alignment with industry standards, best practices, and company delivery methodologies.
• Identify risks, dependencies, and blockers across programs, and proactively implement mitigation and contingency plans.
• Monitor program performance, KPIs, and financial health; drive corrective actions and margin optimization where necessary.
• Facilitate strong communication, collaboration, and transparency across engineering, product, architecture, and leadership teams.
• Deliver periodic program updates to internal and client stakeholders, highlighting progress, risks, challenges, and improvement opportunities.
• Champion a culture of continuous improvement, operational excellence, and innovation by encouraging adoption of emerging DevOps, SRE, automation, and cloud-native practices.
• Support GitHub migration initiatives, including planning, execution, troubleshooting, and governance setup for repository and workflow migrations.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Business Administration, or a related technical discipline.
• 15+ years of IT experience, including at least 5 years in a managerial or program leadership role.
• Proven experience leading large-scale DevOps and SRE transformation programs with measurable business impact.
• Strong program management expertise, including planning, execution oversight, risk management, and financial governance.
• Solid understanding of Agile methodologies (Scrum, Kanban) and modern software development practices.
• Deep hands-on knowledge of DevOps principles, CI/CD pipelines, automation frameworks, Infrastructure as Code (IaC), and cloud-native tooling.
• Familiarity with SRE practices such as service reliability, observability, SLIs/SLOs, incident management, and performance optimization.
• Experience with GitHub migration projects—including repository analysis, migration planning, tooling adoption, and workflow modernization.
• Excellent communication, stakeholder management, and interpersonal skills with the ability to influence and lead cross-functional teams.
• Strong analytical, organizational, and problem-solving skills with a results-oriented mindset.
• Preferred certifications: PMP, PgMP, ITIL, Agile/Scrum Master, or relevant technical certifications.

Skills: Devops Tools, Cloud Infrastructure, Team Management

Must-Haves

DevOps principles (5+ years), SRE practices (5+ years), GitHub migration (3+ years), CI/CD pipelines (5+ years), Agile methodologies (5+ years)

Notice period - 0 to 15days only 

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- 7+

• 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.

Key Sills Required for Lead DevOps Engineer

Containerization Technologies

Docker, Kubernetes, OpenShift

Cloud Technologies

AWS/Azure, GCP

CI/CD Pipeline Tools

Jenkins, Azure Devops

Configuration Management Tools

Ansible, Chef,

SCM Tools

Git, GitHub, Bitbucket

Monitoring Tools

New Relic, Nagios, Prometheus

Cloud Infra Automation

Terraform

Scripting Languages

Python, Shell, Groovy

·       Ability to decide the Architecture for the project and tools as per the availability

·       Sound knowledge required in the deployment strategies and able to define the timelines

·       Team handling skills are a must

·       Debugging skills are an advantage

·       Good to have knowledge of Databases like Mysql, Postgresql

It is advantageous to be familiar with Kafka. RabbitMQ

·       Good to have knowledge of Web servers to deploy web applications

·       Good to have knowledge of Code quality checking tools like SonarQube and Vulnerability scanning

·       Advantage to having experience in DevSecOps

Note: Tools mentioned in bold are a must and others are added advantage

• Extensive experience in designing & supporting Azure Managed Services Operations.  
• Maintaining the Azure Active Directory and Azure AD authentication. 
• Azure update management – Handling updates/Patching. 
• Good understanding of Azure services (Azure App Service, Azure SQL,  Azure Storage Account..etc). 
• Understanding of load balancers, DNS, virtual networks, NSG and firewalls in cloud environment. 
• ARM templates writing, setup automation for resources provisioning. 
• Knowledge on Azure automation and Automation Desire State Configuration. 
• Good understanding of High Availability and Auto scaling. 
• Azure Backups and ASR (Azure Site Recovery) 
• Azure Monitoring and Configuration monitoring (performance metrics, OMS) 
• Cloud Migration Experience(On premise to Cloud). 
• PowerShell scripting for custom tasks automation. 
• Strong experience in configuring, maintaining, and troubleshooting Microsoft based production systems. 
  
  Certification: 
  
  Azure Administrator (AZ-103) & Azure Architect (AZ-300 & AZ-301) 

1. Bachelor’s and/or master’s degree in Computer Science, Computer Engineering or related technical discipline
2. About 5 years of professional experience supporting AWS cloud environments
3. Certified Amazon Architect Associate or Architect
4. Experience serving as lead (shift management, reporting) will be a plus
5. AWS Architect Certified Solution Architect Professional (Must have)
6. Minimum 4yrs experience, maximum 8 years’ experience.

1. 100% work from office in Hyderabad
2. Very fluent in English

• 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

Job Dsecription:

○ 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

○ Having a good knowledge of Terraform + someone who has worked on large TF code bases.

○ Deep understanding of Terraform with best practices & writing TF modules.

○ Hands-on experience of GCP  and AWS and knowledge on AWS Services like VPC and VPC related services like (route tables, vpc endpoints, privatelinks) EKS, S3, IAM. Cost aware mindset towards Cloud services.

○ Deep understanding of Kernel, Networking and OS fundamentals

NOTICE PERIOD - Max - 30 days