DevOps Engineer

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

Location: Bangalore

Experience: 2–5 years

Type: Full-time | On-site

Start: Immediate

Why this role exists

Most systems don’t fail because of one big outage.

They fail because reliability is treated as an afterthought.

Right now, uptime depends too much on individual heroics.

That doesn’t scale.

This role exists to build a reliability system where:

• Uptime is predictable
• Failures are contained
• Escalations don’t depend on leadership

What you’ll do

You will not just monitor systems.

You will own reliability as a product.

1. Drive uptime to production-grade reliability

• Improve system uptime to 99.9% customer-facing SLA within 4 months
• Define and track:
• SLAs / SLOs / error budgets
• Ensure reliability is measured from the customer’s perspective, not internal metrics

2. Build incident response as a system

• Set up a 24/7 incident response rotation across 3 engineers
• Eliminate dependency on leadership (no single escalation point)
• Define:
• Incident severity levels
• Response playbooks
• Escalation protocols
• Ensure fast detection → containment → resolution

3. Contain and fix erratic system behavior

• Identify and resolve:
• Latency spikes
• Downtime incidents
• Integration failures
• Build guardrails to prevent recurrence
• Focus on root cause elimination, not temporary fixes

4. Create continuous reliability feedback loops

• Work closely with engineering teams to:
• Surface recurring failure patterns
• Improve build quality
• Reduce production bugs
• Ensure learnings from incidents directly improve future releases

5. Improve observability and monitoring

• Build dashboards and alerts for:
• System health
• Performance metrics
• Failure signals
• Ensure issues are detected before customers report them

6. Reduce operational fragility

• Remove single points of failure (people, systems, workflows)
• Improve system resilience across:
• Deployments
• Integrations
• Runtime environments

What success looks like

• Uptime reaches 99.9%+ reliably
• Incidents are:
• Detected early
• Contained quickly
• Resolved permanently
• No dependency on a single individual for escalation
• System behavior becomes predictable and stable
• Engineering teams ship with higher reliability confidence

Who you are

• You have 2-5 years of experience in SRE / DevOps / backend systems
• You have worked on production systems with real uptime expectations
• You think in:
• Systems
• Failure modes
• Trade-offs
• You are comfortable debugging live, high-pressure environments

What will make you stand out

• Experience with:
• Distributed systems
• Cloud infrastructure (AWS / Azure / GCP)
• Monitoring & alerting tools
• Have built or improved:
• Incident response systems
• Reliability frameworks
• Strong debugging skills across:
• Infra
• Application
• Integrations

Compensation

₹60,000/month (fixed)

(Aligned with role scope and impact expectations)

Why join

• You will define reliability standards for a production AI platform
• Your work directly impacts:
• Customer trust
• Product performance
• Enterprise readiness
• You will move the system from reactive → predictable

What this role is not

• Not just monitoring dashboards
• Not limited to handling tickets
• Not dependent on escalation to leadership

What this role is

• A builder of reliability systems
• A guardian of uptime and performance
• A multiplier of engineering quality

One question to self-evaluate

Can you build a system where downtime is rare, predictable, and never dependent on a single person?

Hiring for the below position with one of our premium client

Role: Senior DevOps Engineer

Exp:7+ years

Location: Chennai

Key skills: DevOps, Cloud, Python scripting

Description:

 Strong analytical and problem-solving skills 

Ability to work independently, learn quickly and be proactive

 7-9 years overall and at least 3-4 years of hands-on experience in designing and managing DevOps Cloud infrastructure

 Experience must include a combination of:

o Experience working with configuration management tools – Ansible, Chef, Puppet, SaltStack (expertise in at least one tool is a must)

o Ability to write and maintain code in at least one scripting language (Python preferred)

o Practical knowledge of shell scripting

o Cloud knowledge – AWS, VMware vSphere

o Good understanding and familiarity with Linux o Networking knowledge – Firewalls, VPNs, Load Balancers o Web/Application servers, Nginx, JVM environments

o Virtualization and containers - Xen, KVM, Qemu, Docker, Kubernetes, etc.

o Familiarity with logging systems - Logstash, Elasticsearch, Kibana o Git, Jenkins, Jira 

If interested kindly apply!

Please Apply - https://zrec.in/IGpwc?source=CareerSite

About Us

Infra360 Solutions is a services company specializing in Cloud, DevSecOps, Security, and Observability solutions. We help technology companies adapt DevOps culture in their organization by focusing on long-term DevOps roadmap. We focus on identifying technical and cultural issues in the journey of successfully implementing the DevOps practices in the organization and work with respective teams to fix issues to increase overall productivity. We also do training sessions for the developers and make them realize the importance of DevOps. We provide these services - DevOps, DevSecOps, FinOps, Cost Optimizations, CI/CD, Observability, Cloud Security, Containerization, Cloud Migration, Site Reliability, Performance Optimizations, SIEM and SecOps, Serverless automation, Well-Architected Review, MLOps, Governance, Risk & Compliance. We do assessments of technology architecture, security, governance, compliance, and DevOps maturity model for any technology company and help them optimize their cloud cost, streamline their technology architecture, and set up processes to improve the availability and reliability of their website and applications. We set up tools for monitoring, logging, and observability. We focus on bringing the DevOps culture to the organization to improve its efficiency and delivery.

Job Description

Job Title:             DevOps Intern

Department:       Technology

Location:             Gurgaon

Work Mode:         On-site

Working Hours:   10 AM - 7 PM 

Terms:                 Permanent

Experience:     6+ Months

Education:           B.Tech/MCA/BCA

Notice Period:     Immediately

We are seeking a motivated and talented DevOps Intern to join our dynamic team. As a DevOps Intern, you will have the opportunity to work closely with our experienced DevOps engineers to support and improve our development and deployment processes. This is an excellent opportunity for someone looking to kick-start their career in DevOps and gain hands-on experience in a fast-paced, innovative environment.

Below is a detailed description of the roles and responsibilities, expectations for the role.

Tech Stack :

• Kubernetes: Deep understanding of Kubernetes clusters, container orchestration, and its architecture.
• Terraform: Extensive hands-on experience with Infrastructure as Code (IaC) using Terraform for managing cloud resources.
• ArgoCD: Experience in continuous deployment and using ArgoCD to maintain GitOps workflows.
• Helm: Expertise in Helm for managing Kubernetes applications.
• Cloud Platforms: Expertise in AWS, GCP or Azure will be an added advantage.
• Debugging and Troubleshooting: The DevOps Intern must be proficient in identifying and resolving complex issues in a distributed environment, ranging from networking issues to misconfigurations in infrastructure or application components.

Key Responsibilities:

• Assist in the development, deployment, and maintenance of cloud infrastructure.
• Collaborate with development and operations teams to automate and improve the CI/CD pipeline.
• Monitor system performance and troubleshoot issues to ensure high availability and reliability.
• Implement and maintain configuration management tools.
• Participate in code reviews and contribute to improving development practices.
• Assist in the creation of documentation for processes and procedures.
• Support the team in managing and maintaining development and production environments.

Qualifications:

• Currently pursuing or recently completed a degree in Computer Science, Information Technology, or a related field.
• Added advantage if prior internship experience and have completed DevOps course or certification.
• Basic understanding of cloud platforms (AWS, Azure, GCP) and cloud services.
• Familiarity with CI/CD tools (Jenkins, GitLab CI, CircleCI, etc.).
• Basic knowledge of scripting languages (Python, Bash, etc.).
• Understanding of version control systems (Git, SVN).
• Strong problem-solving skills and attention to detail.
• Ability to work collaboratively in a team environment.
• Eagerness to learn and adapt to new technologies and processes.

Preferred Qualifications:

• Experience with containerization technologies (Docker, Kubernetes).
• Knowledge of infrastructure as code (Terraform, Ansible).
• Familiarity with monitoring and logging tools (Prometheus, Grafana, ELK stack).
• Previous internship or project experience in DevOps or related fields.

What We Offer:

• Hands-on experience with modern DevOps tools and practices.
• Mentorship and guidance from experienced professionals.
• Opportunity to work on real-world projects and make a tangible impact.
• Collaborative and supportive work environment.
• Potential for future full-time opportunities based on performance.

Internship Details:

• Duration: 6 months of internship which can be converted to full-time employment based on performance
• Location: Gurgaon
• Mode: In Office

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

Roles and Responsibilities:

• Gather and analyse cloud infrastructure requirements

• Automating system tasks and infrastructure using a scripting language (Shell/Python/Ruby

preferred), with configuration management tools (Ansible/ Puppet/Chef), service registry and

discovery tools (Consul and Vault, etc), infrastructure orchestration tools (Terraform,

CloudFormation), and automated imaging tools (Packer)

• Support existing infrastructure, analyse problem areas and come up with solutions

• An eye for monitoring – the candidate should be able to look at complex infrastructure and be

able to figure out what to monitor and how.

• Work along with the Engineering team to help out with Infrastructure / Network automation needs.

• Deploy infrastructure as code and automate as much as possible

• Manage a team of DevOps

Desired Profile:

• Understanding of provisioning of Bare Metal and Virtual Machines

• Working knowledge of Configuration management tools like Ansible/ Chef/ Puppet, Redfish.

• Experience in scripting languages like Ruby/ Python/ Shell Scripting

• Working knowledge of IP networking, VPN's, DNS, load balancing, firewalling & IPS concepts

• Strong Linux/Unix administration skills.

• Self-starter who can implement with minimal guidance

• Hands-on experience setting up CICD from SCRATCH in Jenkins

• Experience with Managing K8s infrastructure

• Must have a minimum of 3 years of experience in managing AWS resources and automating CI/CD pipelines.
• Strong scripting skills in PowerShell, Python or Bash be able to build and administer CI/CD pipelines.
• Knowledge of infrastructure tools like Cloud Formation, Terraform, Ansible.
• Experience with microservices and/or event-driven architecture.
• Experience using containerization technologies (Docker, ECS, Kubernetes, Mesos or Vagrant).
• Strong practical Windows and Linux system administration skills in the cloud.
• Understanding of DNS, NFS, TCP/IP and other protocols.
• Knowledge of secure SDLC, OWASP top 10 and CWE/SANS top 25.
• Deep understanding of Web Sockets and their functioning. Hands on experience of ElasticCache, Redis, ECS or EKS. Installation, configuration and management of Apache or Nginx web server, Apache/Tomcat Application Server, configure SSL certificates, setup reverse proxy.
• Exposure to RDBMS (MySQL, SQL Server, Aurora, etc.) is a plus.
• Exposure to programming languages like JAVA, PHP, SQL is a plus.
• AWS Developer or AWS SysOps Administrator certification is a plus.
• AWS Solutions Architect Certification experience is a plus.
• Experience building Blue/Green, Canary or other zero down time deployment strategies, advanced understanding of VPC, EC2 Route53 IAM, Lambda is a plus.

At Neurosensum we are committed to make customer feedback more actionable. We have developed a platform called SurveySensum which breaks the conventional market research turnaround time. 

SurveySensum is becoming a great tool to not only capture the feedbacks but also to extract some useful insights with the quick workflow setups and dashboards. We have more than 7 channels through which we can collect the feedbacks. This makes us challenge the conventional software development design principles. The team likes to grind and helps each other to lift in tough situations. 

Day to day responsibilities include:

1. Work on the deployment of code via Bitbucket, AWS CodeDeploy and manual
2. Work on Linux/Unix OS and Multi tech application patching
3. Manage, coordinate, and implement software upgrades, patches, and hotfixes on servers.
4. Create and modify scripts or applications to perform tasks
5. Provide input on ways to improve the stability, security, efficiency, and scalability of the environment
6. Easing developers’ life so that they can focus on the business logic rather than deploying and maintaining it. 
7. Managing release of the sprint. 
8. Educating team of the best practices.
9. Finding ways to avoid human error and save time by automating the processes using Terraform, CloudFormation, Bitbucket pipelines, CodeDeploy, scripting
10. Implementing cost effective measure on cloud and minimizing existing costs.

Skills and prerequisites

1. OOPS knowledge
2. Problem solving nature
3. Willing to do the R&D
4. Works with the team and support their queries patiently 
5. Bringing new things on the table - staying updated 
6. Pushing solution above a problem. 
7. Willing to learn and experiment
8. Techie at heart
9. Git basics
10. Basic AWS or any cloud platform – creating and managing ec2, lambdas, IAM, S3 etc
11. Basic Linux handling 
12. Docker and orchestration (Great to have)
13. Scripting – python (preferably)/bash

• Designing and building infrastructure to support AWS, Azure, and GCP-based Cloud services and infrastructure.
• Creating and utilizing tools to monitor our applications and services in the cloud including system health indicators, trend identification, and anomaly detection.
• Working with development teams to help engineer scalable, reliable, and resilient software running in the cloud.
• Participating in on-call escalation to troubleshoot customer-facing issues
• Analyzing and monitoring performance bottlenecks and key metrics to optimize software and system performance.
• Providing analytics and forecasts for cloud capacity, troubleshooting analysis, and uptime.

• Should have strong experience of a couple of years, in leading DevOps team and planning, defining DevOps roadmap and executing as per the same along with the team 
• Familiarity with AWS cloud and JSON templates, Python, AWS Cloud formation templates
• Designing solutions using one or more AWS features, tools, and technologies such as EC2, EBS, Glacier, S3, ELB, CloudFormation, Lambada, CloudWatch, VPC, RDS, Direct Connect, AWS CLI, REST API
• Design and implement system architecture with AWS cloud - Develop automation scripts, ARM templates, Ansible, Chef, Python, Powershell Knowledge of AWS services and cloud design patterns- Knowledge on Cloud fundamentals like autoscaling, serverless
• Have experience with DevOps and Infrastructure as Code: AWS environment and application automation utilizing CloudFormation and third-party tools. CI/CD pipeline setup utilizing
• CI experience with the following is a must: Jenkins, Bitbucket/GIT, Nexus or Artifactory, SonarQube, WireMock or other mocking solution 
• Expert knowledge on Windows/Linux OS/Mac with at least 5-6 years of system administration experience
• Should have strong skills in using JIRA build tool
• Should have knowledge in managing the CI/CD pipeline on public cloud deployments using AWS
• Should have strong skills in using tools like Jenkins, Docker, Kubernetes (AWS EKS, Azure AKS), and Cloudformation.
• Experience in monitoring tools like Pingdom, Nagios, etc.
• Experience in reverse proxy services like Nginx and Apache
• Desirable experience in Bitbucket with version control tools like GIT/SVN
• Experience of manual/automated testing desired application deployments
• Experience in database technologies such as PostgreSQL, MySQL
• Knowledge of helm and terraform