
- Dynatrace Expertise: Lead the implementation, configuration, and optimization of Dynatrace monitoring solutions across diverse environments, ensuring maximum efficiency and effectiveness.
- Cloud Integration: Utilize expertise in AWS and Azure to seamlessly integrate Dynatrace monitoring into cloud-based architectures, leveraging PaaS services and IAM roles for efficient monitoring and management.
- Application and Infrastructure Architecture: Design and architect both application and infrastructure landscapes, considering factors like Oracle, SQL Server, Shareplex, Commvault, Windows, Linux, Solaris, SNMP polling, and SNMP traps.
- Cross-Platform Integration: Integrate Dynatrace with various products such as Splunk, APIM, and VMWare to provide comprehensive monitoring and analysis capabilities.
- Inter-Account Integration: Develop and implement integration strategies for seamless communication and monitoring across multiple AWS accounts, leveraging Terraform and IAM roles.
- Experience working with On-premise Application and Infrastructure
- Experience with AWS & Azure and Cloud Certified.
- Dynatrace Experience & Certification

About DevOpspatial Pvt Ltd
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Job Title: Senior DevOps Engineer
Location: Gurgaon – Sector 39
Work Mode: 5 Days Onsite
Experience: 5+ Years
About the Role
We are looking for an experienced Senior DevOps Engineer to build, manage, and maintain highly reliable, scalable, and secure infrastructure. The role involves deploying product updates, handling production issues, implementing customer integrations, and leading DevOps best practices across teams.
Key Responsibilities
- Manage and maintain production-grade infrastructure ensuring high availability and performance.
- Deploy application updates, patches, and bug fixes across environments.
- Handle Level-2 support and resolve escalated production issues.
- Perform root cause analysis and implement preventive solutions.
- Build automation tools and scripts to improve system reliability and efficiency.
- Develop monitoring, logging, alerting, and reporting systems.
- Ensure secure deployments following data encryption and cybersecurity best practices.
- Collaborate with development, product, and QA teams for smooth releases.
- Lead and mentor a small DevOps team (3–4 engineers).
Core Focus Areas
Server Setup & Management (60%)
- Hands-on management of bare-metal servers.
- Server provisioning, configuration, and lifecycle management.
- Network configuration including redundancy, bonding, and performance tuning.
Queue Systems – Kafka / RabbitMQ (15%)
- Implementation and management of message queues for distributed systems.
Storage Systems – SAN / NAS (15%)
- Setup and management of enterprise storage systems.
- Ensure backup, recovery, and data availability.
Database Knowledge (5%)
- Working experience with Redis, MySQL/PostgreSQL, MongoDB, Elasticsearch.
- Basic database administration and performance tuning.
Telecom Exposure (Good to Have – 5%)
- Experience with SMS, voice systems, or real-time data processing environments.
Technical Skills Required
- Linux administration & Shell scripting
- CI/CD tools – Jenkins
- Git (GitHub / SVN) and branching strategies
- Docker & Kubernetes
- AWS cloud services
- Ansible for configuration management
- Databases: MySQL, MariaDB, MongoDB
- Web servers: Apache, Tomcat
- Load balancing & HA: HAProxy, Keepalived
- Monitoring tools: Nagios and related observability stacks
- Design cloud infrastructure that is secure, scalable, and highly available on AWS, Azure and GCP
- Work collaboratively with software engineering to define infrastructure and deployment requirements
- Provision, configure and maintain AWS, Azure, GCP cloud infrastructure defined as code
- Ensure configuration and compliance with configuration management tools
- Administer and troubleshoot Linux based systems
- Troubleshoot problems across a wide array of services and functional areas
- Build and maintain operational tools for deployment, monitoring, and analysis of AWS, Azure Infrastructure and systems
- Perform infrastructure cost analysis and optimization
Ask any CIO about corporate data and they’ll happily share all the work they’ve done to make their databases secure and compliant. Ask them about other sensitive information, like contracts, financial documents, and source code, and you’ll probably get a much less confident response. Few organizations have any insight into business-critical information stored in unstructured data.
There was a time when that didn’t matter. Those days are gone. Data is now accessible, copious, and dispersed, and it includes an alarming amount of business-critical information. It’s a target for both cybercriminals and regulators but securing it is incredibly difficult. It’s the data challenge of our generation.
Existing approaches aren’t doing the job. Keyword searches produce a bewildering array of possibly relevant documents that may or may not be business critical. Asking users to categorize documents requires extensive training and constant vigilance to make sure users are doing their part. What’s needed is an autonomous solution that can find and assess risk so you can secure your unstructured data wherever it lives.
That’s our mission. Concentric’s semantic intelligence solution reveals the meaning in your structured and unstructured data so you can fight off data loss and meet compliance and privacy mandates.
Check out our core cultural values and behavioural tenets here: https://concentric.ai/the-concentric-tenets-daily-behavior-to-aspire-to/" target="_blank">https://concentric.ai/the-concentric-tenets-daily-behavior-to-aspire-to/
Title: Cloud DevOps Engineer
Role: Individual Contributor (4-8 yrs)
Requirements:
- Energetic self-starter, a fast learner, with a desire to work in a startup environment
- Experience working with Public Clouds like AWS
- Operating and Monitoring cloud infrastructure on AWS.
- Primary focus on building, implementing and managing operational support
- Design, Develop and Troubleshoot Automation scripts (Configuration/Infrastructure as code or others) for Managing Infrastructure.
- Expert at one of the scripting languages – Python, shell, etc
- Experience with Nginx/HAProxy, ELK Stack, Ansible, Terraform, Prometheus-Grafana stack, etc
- Handling load monitoring, capacity planning, and services monitoring.
- Proven experience With CICD Pipelines and Handling Database Upgrade Related Issues.
- Good Understanding and experience in working with Containerized environments like Kubernetes and Datastores like Cassandra, Elasticsearch, MongoDB, etc
- Develop and Deploy Software:
- Architect and create an effective build and release process using industry best practices and tools
- Create and manage build scripts to deploy software in a multi-cloud environment
- Look for opportunities to automate as much of the deployment process as possible to provide for repeatability, auditability, scalability and build in process enforcement
- Manage Release Schedule:
- Act as a “gate keeper” for all releases into production
- Work closely with business stakeholders, development managers and developers to prepare a release schedule
- Help prioritize deployment requests for version upgrades, patches and hot-fixes
- Continuous Delivery of Software:
- Implement Continuous Integration (CI) practices to drive development teams to implement smaller changes and commit code to the version control repo frequently
- Implement Continuous Development (CD) practices that automates deployment of the application to several environments – Dev, Test and Production
- Implement Continuous Testing (functional and non-functional) to execute tests in the CI/CD pipeline
- Manage Version Control:
- Define and implement branching policies to efficiently manage source-code
- Implement business rules as a part of source control standards
- Resolve Software Issues:
- Assist technical support and development teams to troubleshoot issues and identify areas that need improvement
- Address deployment related issues
- Maintain Release Documentation:
- Maintain release notes (features available in stable versions and known issues) and other documents for both internal and external end users
Our client is a call management solutions company, which helps small to mid-sized businesses use its virtual call center to manage customer calls and queries. It is an AI and cloud-based call operating facility that is affordable as well as feature-optimized. The advanced features offered like call recording, IVR, toll-free numbers, call tracking, etc are based on automation and enhances the call handling quality and process, for each client as per their requirements. They service over 6,000 business clients including large accounts like Flipkart and Uber.
- Beng involved in Configuration Management, Web Services Architectures, DevOps Implementation, Build & Release Management, Database management, Backups, and Monitoring.
- Creating and managing CI/ CD pipelines for microservice architectures.
- Creating and managing application configuration.
- Researching and planning architectures and tools for smooth deployments.
- Logging, metrics and alerting management.
What you need to have:
- Proficient in Linux Commands line and troubleshooting.
- Proficient in designing CI/ CD pipelines using jenkins. Experience in deployment using Ansible.
- Experience in microservices architecture deployment, Hands-on experience on Docker, Kubernetes, EKS.
- Knowledge of infrastructure management tools (Infrastructure as cloud) such as terraform, AWS cloudformation etc.
- Proficient in AWS Services. Deployment, Monitoring and troubleshooting applications in AWS.
- Configuration management tools like ansible/chef/puppet.
- Proficient in deployment of applications behind load balancers and proxy servers such as nginx, apache.
- Proficient in bash scripting, python scripting is an advantage.
- Experience with Logging, Monitoring, and Alerting tools like ELK(Elastic-search, Logstash, Kibana), Nagios. Graylog, splunk Prometheus, Grafana is a plus.
- Proficient in Configuration Management.
Role:
- Developing a good understanding of the solutions which Company delivers, and how these link to Company’s overall strategy.
- Making suggestions towards shaping the strategy for a feature and engineering design.
- Managing own workload and usually delivering unsupervised. Accountable for their own workstream or the work of a small team.
- Understanding Engineering priorities and is able to focus on these, helping others to remain focussed too
- Acting as the Lead Engineer on a project. Helps ensure others follow Company processes, such as release and version control.
- An active member of the team, through useful contributions to projects and in team meetings.
- Supervising others. Deputising for a Lead and/or support them with tasks. Mentoring new joiners/interns and Masters students. Sharing knowledge and learnings with the team.
Requirements:
- Acquired strong proven professional programming experience.
- Strong command of Algorithms, Data structures, Design patterns, and Product Architectural Design.
- Good understanding of DevOps, Cloud technologies, CI/CD, Serverless and Docker, preferable AWS
- Proven track record and expert in one of the field - DevOps/Frontend/Backend
- Excellent coding and debugging skills in any language with command on any one programming paradigm, preferred Javascript/Python/Go
- Experience with at least one of the Database systems - RDBMS and NoSQL
- Ability to document requirements and specifications.
- A naturally inquisitive and problem-solving mindset.
- Strong experience in using AGILE or SCRUM techniques to build quality software.
- Advantage: experience in React js, AWS, Nodejs, Golang, Apache Spark, ETL tool, data integration system, certification in AWS, worked in a Product company and involved in making it from scratch, Good communication skills, open-source contributions, proven competitive coding pro
Requirements:
- Experience of managing Engineering teams in an Agile environment.
- Expert knowledge of delivering solutions in Azure cloud within a large-scale enterprise environment.
- Great understanding of DevOps principles and how they assist in taking products to market in an effective manner.
- Experience of Automation/Configuration management tools as well as working in a continuous delivery environment, monitoring and tooling.
- Knowledge and experience in Azure, Kubernetes, Containerisation, Azure DevOps pipelines.
- Experience in managing permissions in Azure DevOps.
- Working experience in Application Gateways, App Services, Front-Door, Azure Service Bus, etc.
- Troubleshooting experience in virtual/cloud infrastructures.
- Experience in delivery of projects using IAC (Infrastructure as Code).
BENEFITS: -
Competitive salary and stock options -
Premium medical benefits
LOCATION: - Remote (India)
EDUCATION AND EXPERIENCE -
Degree in computer science, software engineering, or a related field -
At least 3-5 years of professional work experience as a
DevOps / test automation / deployment engineer -
Experience in agile software development methodologies
JOB RESPONSIBILITIES: -
Design and development of scalable software test framework to automate test procedures - Perform health checks of existing sites periodically (manually and also developing a automation pipeline) - Manage per site software releases -
Generate release notes, user guides, technical documentation -
Perform upgrades/ downgrades (patch management) -
Generate and Manage configurations -
Suggest process improvements by interfacing with product owner -
File process/installation/deployment related issues & tracking them -
Verify customer-reported issues and translate them into technical tasks for development
REQUIREMENTS:
Following are must to have requirements, -
Automation frameworks like Selenium etc. -
Scripting languages like Perl, Python etc. -
Linux systems -
Version control system like git -
Issue tracking system like Jira -
Networking protocols -
Cloud infrastructure -
Ability to work individually and as part of a team with a sense of urgency -
Excellent communication skills in written and verbal English -
Great attention to detail
PREFERRED:
Following are good to have requirements, -
Knowledge in any of the programming languages like C, C++ etc.
Experience managing cloud-based (e.g., AWS, Google Cloud, etc.) and in-house server infrastructure -
Familiarity with machine learning / artificial intelligence infrastructure -
Experience in data visualization and statistics -
Basic knowledge of hardware infrastructure containing routers, switches and others -
Familiarity with web & data securityDesign and development of scalable software test framework to automate test
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









