DevOps Engineer

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).

Job Summary :

We are looking for a proactive and skilled DevOps Engineer to join our team and play a key role in building, managing, and scaling infrastructure for high-performance systems. The ideal candidate will have hands-on experience with Kubernetes, Docker, Python scripting, cloud platforms, and DevOps practices around CI/CD, monitoring, and incident response.

Key Responsibilities :

- Design, build, and maintain scalable, reliable, and secure infrastructure on cloud platforms such as AWS.

- Implement Infrastructure as Code (IaC) using tools like Terraform, Cloud Formation, or similar.

- Manage Kubernetes clusters, configure namespaces, services, deployments, and auto scaling. CI/CD & Release Management

- Build and optimize CI/CD pipelines for automated testing, building, and deployment of services.

- Collaborate with developers to ensure smooth and frequent deployments to production.

- Manage versioning and rollback strategies for critical deployments.

- Containerization & Orchestration using Kubernetes.

- Containerize applications using Docker, and manage them using Kubernetes.

- Write automation scripts using Python or Shell for infrastructure tasks, monitoring, and deployment flows.

- Develop utilities and tools to enhance operational efficiency and reliability.

- Monitoring & Incident Management

- Analyze system performance and implement infrastructure scaling strategies based on load and usage trends.

- Optimize application and system performance through proactive monitoring and configuration tuning.

Desired Skills and Experience :

- Experience Required - 6+ yrs.

- Hands-on experience on cloud services like AWS, EKS etc.

- Ability to design a good cloud solution.

- Strong Linux troubleshooting, Shell Scripting, Kubernetes, Docker, Ansible, Jenkins Skills.

- Design and implement the CI/CD pipeline following the best industry practices using open-source tools.

- Use knowledge and research to constantly modernize our applications and infrastructure stacks.

- Be a team player and strong problem-solver to work with a diverse team.

- Having good communication skills.

JOB DETAILS:

- Job Title: Lead DevOps Engineer

- Industry: Ride-hailing

- Experience: 6-9 years

- Working Days: 5 days/week

- Work Mode: ONSITE

- Job Location: Bangalore

- CTC Range: Best in Industry

Required Skills: Cloud & Infrastructure Operations, Kubernetes & Container Orchestration, Monitoring, Reliability & Observability, Proficiency with Terraform, Ansible etc., Strong problem-solving skills with scripting (Python/Go/Shell)

Criteria:

1.   Candidate must be from a product-based or scalable app-based start-ups company with experience handling large-scale production traffic.

2.   Minimum 6 yrs of experience working as a DevOps/Infrastructure Consultant

3.   Candidate must have 2 years of experience as an lead (handling team of 3 to 4 members at least)

4.   Own end-to-end infrastructure right from non-prod to prod environment including self-managed

5.   Candidate must have Self experience in database migration from scratch 

6.   Must have a firm hold on the container orchestration tool Kubernetes

7.   Should have expertise in configuration management tools like Ansible, Terraform, Chef / Puppet

8.   Understanding programming languages like GO/Python, and Java

9.   Working on databases like Mongo/Redis/Cassandra/Elasticsearch/Kafka.

10.   Working experience on Cloud platform -AWS

11. Candidate should have Minimum 1.5 years stability per organization, and a clear reason for relocation.

Description

Job Summary:

As a DevOps Engineer at company, 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

Job Requirements:

● B.Tech. / B.E. degree in Computer Science or equivalent software engineering degree/experience

● Minimum 6 yrs of experience working as a DevOps/Infrastructure Consultant

● Must have a firm hold on the container orchestration tool Kubernetes

● Must have expertise in configuration management tools like Ansible, Terraform, Chef / Puppet

● Strong problem-solving skills, and ability to write scripts using any scripting language

● Understanding programming languages like GO/Python, and Java

● Comfortable working on databases like Mongo/Redis/Cassandra/Elasticsearch/Kafka.

What’s there for you?

Company’s team handles everything – infra, tooling, and self-manages a bunch of databases, such as

● 150+ microservices with event-driven architecture across different tech stacks Golang/ java/ node

● More than 100,000 Request per second on our edge gateways

● ~20,000 events per second on self-managed Kafka

● 100s of TB of data on self-managed databases

● 100s of real-time continuous deployment to production

● Self-managed infra supporting

● 100% OSS

Job Details

- Job Title: Senior DevOps Engineer

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

- Function - IT

- Experience Required: 4-7 years

- Employment Type: Full Time

- Job Location: Bengaluru

- CTC Range: Best in Industry

Criteria:

• Strong DevOps / Infrastructure Engineer Profiles.
• Must have 4+ years of hands-on experience working as a DevOps Engineer / Infrastructure Engineer / SRE / DevOps Consultant.
• Must have hands-on experience with Kubernetes and Docker, including deployment, scaling, or containerized application management.
• Must have experience with Infrastructure as Code (IaC) or configuration management tools such as Terraform, Ansible, Chef, or Puppet.
• Must have strong automation and scripting experience using Python, Go, Bash, Shell, or similar scripting languages.
• Must have working experience with distributed databases or data systems such as MongoDB, Redis, Cassandra, Elasticsearch, or Kafka.
• Candidate must demonstrate strong expertise in at least one of the following areas - Databases / Distributed Data Systems, Observability & Monitoring, CI/CD Pipelines. Networking Concepts, Kubernetes / Container Platforms
• Candidates must be from B2C Product-based companies only.
• (Education) – BE / B.Tech or equivalent

Preferred

• Experience working with microservices or event-driven architectures.
• Exposure to cloud infrastructure, monitoring, reliability, and scalability practices.
• (Skills) – Understanding of programming languages such as Go, Python, or Java.
• Preferred (Environment) – Experience working in high-scale production or fast-growing product startups.

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

NOTE- This is a contractual role for a period of 3-6 months.

Responsibilities:

● Set up and maintain CI/CD pipelines across services and environments

● Monitor system health and set up alerts/logs for performance & errors ● Work closely with backend/frontend teams to improve deployment velocity

● Manage cloud environments (staging, production) with cost and reliability in mind

● Ensure secure access, role policies, and audit logging

● Contribute to internal tooling, CLI automation, and dev workflow improvements

Must-Haves:

● 2–3 years of hands-on experience in DevOps, SRE, or Platform Engineering

● Experience with Docker, CI/CD (especially GitHub Actions), and cloud providers (AWS/GCP)

● Proficiency in writing scripts (Bash, Python) for automation

● Good understanding of system monitoring, logs, and alerting

● Strong debugging skills, ownership mindset, and clear documentation habits

● Infra monitoring tools like Grafana dashboards

At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking 4 DevOps Support Engineer to join one of our clients' teams in India who can start until 20th of July. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.

Job requirements

Key Responsibilities:

• Monitor and troubleshoot AWS and/or Azure environments to ensure optimal performance and availability.
• Respond promptly to incidents and alerts, investigating and resolving issues efficiently.
• Perform basic scripting and automation tasks to streamline cloud operations (e.g., Bash, Python).
• Communicate clearly and fluently in English with customers and internal teams.
• Collaborate closely with the Team Lead, following Standard Operating Procedures (SOPs) and escalation workflows.
• Work in a rotating shift schedule, including weekends and nights, ensuring continuous support coverage.

Shift Details:

• Engineers rotate shifts, typically working 4–5 shifts per week.
• Each engineer works about 4 to 5 shifts per week, rotating through morning, evening, and night shifts—including weekends—to cover 24/7 support evenly among the team
• Rotation ensures no single engineer is always working nights or weekends; the load is shared fairly among the team.

Qualifications:

• 2–5 years of experience in DevOps or cloud support roles.
• Strong familiarity with AWS and/or Azure cloud environments.
• Experience with CI/CD tools such as GitHub Actions or Jenkins.
• Proficiency with monitoring tools like Datadog, CloudWatch, or similar.
• Basic scripting skills in Bash, Python, or comparable languages.
• Excellent communication skills in English.
• Comfortable and willing to work in a shift-based support role, including night and weekend shifts.
• Prior experience in a shift-based support environment is preferred.

What We Offer:

• Remote work opportunity — work from anywhere in India with a stable internet connection.
• Comprehensive training program including:
• Shadowing existing processes to gain hands-on experience.
• Learning internal tools, Standard Operating Procedures (SOPs), ticketing systems, and escalation paths to ensure smooth onboarding and ongoing success.

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

As a SaaS DevOps Engineer, you will be responsible for providing automated tooling and process enhancements for SaaS deployment, application and infrastructure upgrades and production monitoring.

• Development of automation scripts and pipelines for deployment and monitoring of new production environments.

• Development of automation scripts for upgrades, hotfixes deployments and maintenance.

• Work closely with Scrum teams and product groups to support the quality and growth of the SaaS services.

• Collaborate closely with SaaS Operations team to handle day-to-day production activities - handling alerts and incidents.

• Assist SaaS Operations team to handle customers focus projects: migrations, features enablement.

• Write Knowledge articles to document known issues and best practices.

• Conduct regression tests to validate solutions or workarounds.

• Work in a globally distributed team.

What achievements should you have so far?

• Bachelor's or master’s degree in Computer Science, Information Systems, or equivalent.

• Experience with containerization, deployment, and operations.

• Strong knowledge of CI/CD processes (Git, Jenkins, Pipelines).

• Good experience with Linux systems and Shell scripting.

• Basic cloud experience, preferably oriented on MS Azure.

• Basic knowledge of containerized solutions (Helm, Kubernetes, Docker).

• Good Networking skills and experience.

• Having Terraform or CloudFormation knowledge will be considered a plus.

• Ability to analyze a task from a system perspective.

• Excellent problem-solving and troubleshooting skills.

• Excellent written and verbal communication skills; mastery in English and local language.

• Must be organized, thorough, autonomous, committed, flexible, customer-focused and productive.

Rules & Responsibilities:

• Design, implement and maintain all AWS infrastructure and services within a managed service environment
• Should be able to work on 24 X 7 shifts for support of infrastructure.
• Design, Deploy and maintain enterprise class security, network and systems management applications within an AWS environment
• Design and implement availability, scalability, and performance plans for the AWS managed service environment
• Continual re-evaluation of existing stack and infrastructure to maintain optimal performance, availability and security
• Manage the production deployment and deployment automation
• Implement process and quality improvements through task automation
• Institute infrastructure as code, security automation and automation or routine maintenance tasks
• Experience with containerization and orchestration tools like docker, Kubernetes
• Build, Deploy and Manage Kubernetes clusters thru automation
• Create and deliver knowledge sharing presentations and documentation for support teams
• Learning on the job and explore new technologies with little supervision
• Work effectively with onsite/offshore teams

Qualifications:

• Must have Bachelor's degree in Computer Science or related field and 4+ years of experience in IT
• Experience in designing, implementing, and maintaining all AWS infrastructure and services
• Design and implement availability, scalability, and performance plans for the AWS managed service environment
• Continual re-evaluation of existing stack and infrastructure to maintain optimal performance, availability, and security
• Hands-on technical expertise in Security Architecture, automation, integration, and deployment
• Familiarity with compliance & security standards across the enterprise IT landscape
• Extensive experience with Kubernetes and AWS(IAM, Route53, SSM, S3, EFS, EBS, ELB, Lambda, CloudWatch, CloudTrail, SQS, SNS, RDS, Cloud Formation, DynamoDB)
• Solid understanding of AWS IAM Roles and Policies
• Solid Linux experience with a focus on web (Apache Tomcat/Nginx)
• Experience with automation/configuration management using Terraform\Chef\Ansible or similar.
• Understanding of protocols/technologies like Microservices, HTTP/HTTPS, SSL/TLS, LDAP, JDBC, SQL, HTML
• Experience in managing and working with the offshore teams
• Familiarity with CI/CD systems such as Jenkins, GitLab CI
• Scripting experience (Python, Bash, etc.)
• AWS, Kubernetes Certification is preferred
• Ability to work with and influence Engineering teams