Azure Lead/Architect/Admin

Job Summary:

We are looking for a highly skilled and experienced DevOps Engineer who will be responsible for the deployment, configuration, and troubleshooting of various infrastructure and application environments. The candidate must have a proficient understanding of CI/CD pipelines, container orchestration, and cloud services, with experience in AWS services like EKS, EC2, ECS, EBS, ELB, S3, Route 53, RDS, ALB, etc., in a highly available and scalable production environment. The DevOps Engineer will be responsible for monitoring, automation, troubleshooting, security, user management, reporting, migrations, upgrades, disaster recovery, and infrastructure restoration, among other tasks. They will also work with application teams on infrastructure design and issues, and architect solutions to optimally meet business needs.

Responsibilities:

• Deploy, configure, and troubleshoot various infrastructure and application environments
• Work with AWS services like EC2, ECS, EBS, ELB, S3, Route 53, RDS, ALB, etc., in a highly available and scalable production environment
• Monitor, automate, troubleshoot, secure, maintain users, and report on infrastructure and applications
• Collaborate with application teams on infrastructure design and issues
• Architect solutions that optimally meet business needs
• Implement CI/CD pipelines and automate deployment processes
• Disaster recovery and infrastructure restoration
• Restore/Recovery operations from backups
• Automate routine tasks
• Execute company initiatives in the infrastructure space
• Expertise with observability tools like ELK, Prometheus, Grafana , Loki

Qualifications:

• Proficient understanding of CI/CD pipelines, container orchestration, and various cloud services
• Experience with AWS services like EC2, ECS, EBS, ELB, S3, Route 53, RDS, ALB, etc.
• Experience in monitoring, automation, troubleshooting, security, user management, reporting, migrations, upgrades, disaster recovery, and infrastructure restoration
• Experience in architecting solutions that optimally meet business needs
• Experience with scripting languages (e.g., Shell, Python) and infrastructure as code (IaC) tools (e.g., Terraform, CloudFormation)
• Strong understanding of system concepts like high availability, scalability, and redundancy
• Ability to work with application teams on infrastructure design and issues
• Excellent problem-solving and troubleshooting skills
• Experience with automation of routine tasks
• Good communication and interpersonal skills

Education and Experience:

• Bachelor's degree in Computer Science or a related field
• 5 to 10 years of experience as a DevOps Engineer or in a related role
• Experience with observability tools like ELK, Prometheus, Grafana

Working Conditions:

The DevOps Engineer will work in a fast-paced environment, collaborating with various application teams, stakeholders, and management. They will work both independently and in teams, and they may need to work extended hours or be on call to handle infrastructure emergencies.

Note: This is a remote role. The team member is expected to be in the Bangalore office for one week each quarter.

Location: Remote

Job Description :

• Strong hands-on knowledge on Azure DevOps.
• Mandatory Skills required :Azure Devops,docker,Kubernetes
• Skills required : Terraform,GIT,Jenkins,CI/CD,Pipelines,YAML,Scripting,Shell Scripting,Python, Gradle, Maven
• Require only developer experience profiles, and Admin roles are not required

We're Hiring: DevOps Tech Lead with 7-9 Years of Experience! 🚀

Are you a seasoned DevOps professional with a passion for cloud technologies and automation? We have an exciting opportunity for a DevOps Tech Lead to join our dynamic team at our Gurgaon office.

🏢 ZoomOps Technolgy Solutions Private Limited

📍 Location: Gurgaon

💼 Full-time position

🔧 Key Skills & Requirements:

✔ 7-9 years of hands-on experience in DevOps roles

✔ Proficiency in Cloud Platforms like AWS, GCP, and Azure

✔ Strong background in Solution Architecture

✔ Expertise in writing Automation Scripts using Python and Bash

✔ Ability to manage IAC tools and CM tools like Terraform, Ansible, pulumi etc..

Responsibilities:

🔹 Lead and mentor the DevOps team, driving innovation and best practices

🔹 Design and implement robust CI/CD pipelines for seamless software delivery

🔹 Architect and optimize cloud infrastructure for scalability and efficiency

🔹 Automate manual processes to enhance system reliability and performance

🔹 Collaborate with cross-functional teams to drive continuous improvement

Join us to work on exciting projects and make a significant impact in the tech space!

Apply now and take the next step in your DevOps career!

Acceldata is creating the Data observability space. We make it possible for data-driven enterprises to effectively monitor, discover, and validate Data platforms at Petabyte scale. Our customers are Fortune 500 companies including Asia's largest telecom company, a unicorn fintech startup of India, and many more. We are lean, hungry, customer-obsessed, and growing fast. Our Solutions team values productivity, integrity, and pragmatism. We provide a flexible, remote-friendly work environment.

We are building software that can provide insights into companies' data operations and allows them to focus on delivering data reliably with speed and effectiveness. Join us in building an industry-leading data observability platform that focuses on ensuring data reliability from every spectrum (compute, data and pipeline) of a cloud or on-premise data platform.

Position Summary-

This role will support the customer implementation of a data quality and reliability product. The candidate is expected to install the product in the client environment, manage proof of concepts with prospects, and become a product expert and troubleshoot post installation, production issues. The role will have significant interaction with the client data engineering team and the candidate is expected to have good communication skills.

Required experience

1. 6-7 years experience providing engineering support to data domain/pipelines/data engineers.
2. Experience in troubleshooting data issues, analyzing end to end data pipelines and in working with users in resolving issues
3. Experience setting up enterprise security solutions including setting up active directories, firewalls, SSL certificates, Kerberos KDC servers, etc.
4. Basic understanding of SQL
5. Experience working with technologies like S3, Kubernetes experience preferred.
6. Databricks/Hadoop/Kafka experience preferred but not required

Responsibilities

● Be a hands-on engineer, ensure frameworks/infrastructure built is well designed,

scalable & are of high quality.

● Build and/or operate platforms that are highly available, elastic, scalable, operable and

observable.

● Build/Adapt and implement tools that empower the TI AI engineering teams to

self-manage the infrastructure and services owned by them.

● You will identify, articulate, and lead various long-term tech vision, strategies,

cross-cutting initiatives and architecture redesigns.

● Design systems and make decisions that will keep pace with the rapid growth of TI AI.

● Document your work and decision-making processes, and lead presentations and

discussions in a way that is easy for others to understand.

● Available for on-call during emergencies to handle and resolve problems in a quick and

efficient manner.

Requirements

● 2+ years of Hands-on experience as a DevOps / Infrastructure engineer with AWS and

Kubernetes or similar infrastructure platforms. (preferably AWS)

● Hands-on with DevOps principles and practices ( Everything-as-a-code, CI/CD, Test

everything, proactive monitoring etc).

● Experience in building and operating distributed systems.

● Understanding of operating systems, virtualization, containerization and networks

preferable

● Hands-on coding on any of the languages like Python or GoLang.

● Familiarity with software engineering practices including unit testing, code reviews, and

design documentation.

● Strong debugging and problem-solving skills Curiosity about how things work and love to

share that knowledge with others.

Benefits :

● Work with a world class team working on a very forward looking problem

● Competitive Pay

● Flat hierarchy

● Health insurance for the family

We are seeking a passionate DevOps Engineer to help create the next big thing in data analysis and search solutions.

You will join our Cloud infrastructure team supporting our developers . As a DevOps Engineer, you’ll be automating our environment setup and developing infrastructure as code to create a scalable, observable, fault-tolerant and secure environment. You’ll incorporate open source tools, automation, and Cloud Native solutions and will empower our developers with this knowledge. 

We will pair you up with world-class talent in cloud and software engineering and provide a position and environment for continuous learning.

• 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

• Proficient in Java, Node or Python
• Experience with NewRelic, Splunk, SignalFx, DataDog etc.
• Monitoring and alerting experience
• Full stack development experience
• Hands-on with building and deploying micro services in Cloud (AWS/Azure)
• Experience with terraform w.r.t Infrastructure As Code
• Should have experience troubleshooting live production systems using monitoring/log analytics tools
• Should have experience leading a team (2 or more engineers)
• Experienced using Jenkins or similar deployment pipeline tools
• Understanding of distributed architectures