DevOps Engineer

We are seeking an experienced Senior Systems Operations Engineer with 6+ years of experience in Application Production Support, Systems Operations, and Incident Management. The ideal candidate will be responsible for maintaining the stability, availability, and performance of production applications and infrastructure while ensuring adherence to ITIL processes and operational excellence.

The candidate should possess strong expertise in Linux/Unix administration, SQL/Oracle Database support, Production Issue Analysis, Incident & Change Management, and monitoring tools such as Splunk, Grafana, and AppDynamics. The role requires excellent troubleshooting skills, stakeholder communication, and the ability to lead critical incident resolution activities in a 16X7 production environment.

Key Responsibilities:

•           Provide advanced production support for critical business applications, ensuring high availability and performance.

•           Lead incident and change management processes, including root cause analysis and resolution of production issues.

•           Monitor application health using tools such as SPLUNK, Grafana, and AppDynamics.

•           Collaborate with development, infrastructure, and business teams to drive continuous improvement in system operations.

•           Maintain and optimize Linux/Unix environments and SQL/Oracle databases.

•           Document operational procedures, troubleshooting steps, and best practices.

Required Skills:

•           Strong experience with Linux/Unix system administration.

•           Advanced proficiency in SQL and Oracle database management.

•           Expertise in incident and change management within enterprise environments.

•           Proven ability to analyse and resolve production issues efficiently.

•           Hands-on experience with monitoring and alerting tools: SPLUNK, Grafana, AppDynamics.

•           Excellent communication and collaboration skills.

•           Experience with cloud platforms (AWS, Azure, GCP)

Desired Candidate Profile

•           6+ years of experience in Application Production Support and Systems Operations.

•           Proven experience managing mission-critical production environments.

•           Strong expertise in Linux/Unix, SQL, Oracle Database, and monitoring tools.

•           Demonstrated success in incident resolution, RCA preparation, and service improvement initiatives.

•           Ability to work effectively in a fast-paced 16x7 production support environment.

•           Exposure to AI tools and implementation as well

Supercharge Your Career as a AI DevOps Engineer at Technoidentity!

At Technoidentity, we're a Data & AI product engineering company with over 15 years of expertise in building durable digital products, intelligent enterprise solutions, and scalable Data & AI platforms. As we continue expanding globally, it's the perfect time to join our team of tech innovators and make a lasting impact.

What’s in it for You?

We are looking for an AI DevOps Engineer with 0–3 years of experience who is passionate about AI, Cloud, DevOps, and Automation. The role involves building, deploying, and managing AI-powered applications, LLM solutions, and cloud-native platforms while ensuring reliability, scalability, security, and observability.

What Will You Be Doing?

• Develop and deploy AI/ML and Generative AI solutions using Python.
• Build applications leveraging LLMs, RAG, and AI agents.
• Create and maintain CI/CD pipelines for AI applications.
• Deploy and manage workloads using Docker and Kubernetes.
• Support cloud platforms (AWS, Azure, or GCP).
• Implement Infrastructure as Code (Terraform) and automation workflows.
• Monitor applications using observability tools such as Prometheus, Grafana, and logging platforms.
• Collaborate with engineering teams to ensure system reliability, performance, and security.
• Contribute to MLOps practices, AI accelerators, and reusable frameworks.

Requirements

What Makes You the Perfect Fit?

• Python programming (mandatory)
• Understanding of Machine Learning, LLMs, Prompt Engineering, and RAG
• Experience with OpenAI, LangChain, LlamaIndex, or Hugging Face
• Docker, Kubernetes, Git, and CI/CD tools
• AWS, Azure, or GCP
• PostgreSQL; MongoDB and Vector Databases are a plus
• Basic knowledge of MLOps, Terraform, and workflow orchestration tools (Airflow/Temporal)
• Familiarity with observability and monitoring tools

Qualifications

• Bachelor's degree in Computer Science, AI, Data Science, IT, or related field
• 0–3 years of experience in AI/ML, Software Engineering, Cloud, DevOps, or related areas

Nice to Have

• Experience with Agentic AI frameworks
• Knowledge of MLOps and AI platform operations
• Exposure to enterprise-grade monitoring, reliability engineering, and security best practices

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

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.

• Understanding customer requirements and project KPIs
• Implementing various development, testing, automation tools, and IT infrastructure
• Planning the team structure, activities, and involvement in project management activities.
• Managing stakeholders and external interfaces
• Setting up tools and required infrastructure
• Defining and setting development, test, release, update, and support processes for https://www.simplilearn.com/top-benefits-of-learning-devops-article" target="_blank">DevOps operation
• Have the technical skill to review, verify, and validate the software code developed in the project.
• Troubleshooting techniques and fixing the code bugs
• Monitoring the processes during the entire lifecycle for its adherence and updating or creating new processes for improvement and minimizing the wastage
• Encouraging and building automated processes wherever possible
• Identifying and deploying cybersecurity measures by continuously performing vulnerability assessment and risk management
• Incidence management and root cause analysis
• Coordination and communication within the team and with customers
• Selecting and deploying appropriate https://www.simplilearn.com/best-ci-cd-tools-article" target="_blank">CI/CD tools
• Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (https://www.simplilearn.com/open-source-pipeline-tools-for-devops-article" target="_blank">CI/CD Pipeline)
• Mentoring and guiding the team members 
• Monitoring and measuring customer experience and KPIs
• Managing periodic reporting on the progress to the management and the customer