
- Candidate should have good Platform experience on Azure with Terraform.
- The devops engineer needs to help developers, create the Pipelines and K8s Deployment Manifests.
- Good to have experience on migrating data from (AWS) to Azure.
- To manage/automate infrastructure automatically using Terraforms. Jenkins is the key CI/CD tool which we uses and it will be used to run these Terraforms.
- VMs to be provisioned on Azure Cloud and managed.
- Good hands on experience of Networking on Cloud is required.
- Ability to setup Database on VM as well as managed DB and Proper set up of cloud hosted microservices needs to be done to communicate with the db services.
- Kubernetes, Storage, KeyValult, Networking(load balancing and routing) and VMs are the key infrastructure expertise which are essential.
- Requirement is to administer Kubernetes cluster end to end. (Application deployment, managing namespaces, load balancing, policy setup, using blue-green/canary deployment models etc).
- The experience in AWS is desirable
- Python experience is optional however Power shell is mandatory
- Know-how on the use of GitHub

About EnterpriseMinds
About
Enterprise Minds, with core focus on engineering products, automation and intelligence, partners customers on the trajectory towards increasing outcomes, relevance and growth.
Harnessing the power of Data and the forces that define AI, Machine Learning and Data Science, we believe in institutionalising go-to-market models and not just explore possibilities.
We believe in a customer-centric ethic without and people-centric paradigm within. With a strong sense of community, ownership and collaboration our people work in a spirit of co-creation, co-innovation and co-development to engineer next-generation software products with the help of accelerators.
Through Communities we connect and attract talent that shares skills and expertise. Through Innovation Labs and global design studios we deliver creative solutions.
We create vertical isolated pods which has narrow but deep focus. We also create horizontal pods to collaborate and deliver sustainable outcomes.
We follow Agile methodologies to fail fast and deliver scalable and modular solutions. We constantly self-asses and realign to work with each customer in the most impactful manner.
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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
Role Overview:
As a DevOps Engineer (L2), you will play a key role in designing, implementing, and optimizing infrastructure. You will take ownership of automating processes, improving system reliability, and supporting the development lifecycle.
Key Responsibilities:
- Design and manage scalable, secure, and highly available cloud infrastructure.
- Lead efforts in implementing and optimizing CI/CD pipelines.
- Automate repetitive tasks and develop robust monitoring solutions.
- Ensure the security and compliance of systems, including IAM, VPCs, and network configurations.
- Troubleshoot complex issues across development, staging, and production environments.
- Mentor and guide L1 engineers on best practices.
- Stay updated on emerging DevOps tools and technologies.
- Manage cloud resources efficiently using Infrastructure as Code (IaC) tools like Terraform and AWS CloudFormation.
Qualifications:
- Bachelor’s degree in Computer Science, IT, or a related field.
- Proven experience with CI/CD pipelines and tools like Jenkins, GitLab, or Azure DevOps.
- Advanced knowledge of cloud platforms (AWS, Azure, or GCP) with hands-on experience in deployments, migrations, and optimizations.
- Strong expertise in containerization (Docker) and orchestration tools (Kubernetes).
- Proficiency in scripting languages like Python, Bash, or PowerShell.
- Deep understanding of system security, networking, and load balancing.
- Strong analytical skills and problem-solving mindset.
- Certifications (e.g., AWS Certified Solutions Architect, Kubernetes Administrator) are a plus.
What We Offer:
- Opportunity to work with a cutting-edge tech stack in a product-first company.
- Collaborative and growth-oriented environment.
- Competitive salary and benefits.
- Freedom to innovate and contribute to impactful projects.
Intuitive is the fastest growing top-tier Cloud Solutions and Services company supporting Global Enterprise Customer across Americas, Europe and Middle East.
Excellent communication skills
Open to work on EST time zone(6pm to 3am)
Technical Skills:
· In depth understanding of DevSecOps process and governance
· Understanding of various branching strategies
· Hands on experience working with various testing and scanning tools (ex. SonarQube, Snyk, Blackduck, etc.)
· Expertise working with one or more CICD platforms (ex. Azure DevOps, GitLab, GitHub Actions, etc)
· Expertise within one CSP and experience/working knowledge of a second CSP (Azure, AWS, GCP)
· Proficient with Terraform
· Hands on experience working with Kubernetes
· Proficient working with GIT version control
· Hands on experience working with monitoring/observability tool(s) (Splunk, Data Dog, Dynatrace, etc)
· Hands on experience working with Configuration Management platform(s) (Chef, Saltstack, Ansible, etc)
· Hands on experience with GitOps
Client: Sony Corporation
Position: 3
Exp: 5-8Years
DevOps Engineer
Location: Bangalore
Budget: 16.5 LPA Max
Gerrit ,Jenkins, Rabbit MQ AWS Linux
Python ,Ansible, Tomcat ,Postgresql
Grafana ,Groovy,HTML,Shell,Apache,Git , ELK
We are looking for a Senior Platform Engineer responsible for handling our GCP/AWS clouds. The
candidate will be responsible for automating the deployment of cloud infrastructure and services to
support application development and hosting (architecting, engineering, deploying, and operationally
managing the underlying logical and physical cloud computing infrastructure).
Location: Bangalore
Reporting Manager: VP, Engineering
Job Description:
● Collaborate with teams to build and deliver solutions implementing serverless,
microservice-based, IaaS, PaaS, and containerized architectures in GCP/AWS environments.
● Responsible for deploying highly complex, distributed transaction processing systems.
● Work on continuous improvement of the products through innovation and learning. Someone with
a knack for benchmarking and optimization
● Hiring, developing, and cultivating a high and reliable cloud support team
● Building and operating complex CI/CD pipelines at scale
● Work with GCP Services, Private Service Connect, Cloud Run, Cloud Functions, Pub/Sub, Cloud
Storage, Networking in general
● Collaborate with Product Management and Product Engineering teams to drive excellence in
Google Cloud products and features.
● Ensures efficient data storage and processing functions in accordance with company security
policies and best practices in cloud security.
● Ensuring scaled database setup/montioring with near zero downtime
Key Skills:
● Hands-on software development experience in Python, NodeJS, or Java
● 5+ years of Linux/Unix Administration monitoring, reliability, and security of Linux-based, online,
high-traffic services and Web/eCommerce properties
● 5+ years of production experience in large-scale cloud-based Infrastructure (GCP preferred)
● Strong experience with Log Analysis and Monitoring tools such as CloudWatch, Splunk,Dynatrace, Nagios, etc.
● Hands-on experience with AWS Cloud – EC2, S3 Buckets, RDS
● Hands-on experience with Infrastructure as a Code (e.g., cloud formation, ARM, Terraform,Ansible, Chef, Puppet) and Version control tools
● Hands-on experience with configuration management (Chef/Ansible)
● Experience in designing High Availability infrastructure and planning for Disaster Recovery solutions
Regards
Team Merito
Location: Bengaluru
Department: DevOps
We are looking for extraordinary infrastructure engineers to build a world class
cloud platform that scales to millions of users. You must have experience
building key portions of a highly scalable infrastructure using Amazon AWS and
should know EC2, S3, EMR like the back of your hand. You must enjoy working
in a fast-paced startup and enjoy wearing multiple hats to get the job done.
Responsibilities
● Manage AWS server farm Own AWS infrastructure automation and
support.
● Own production deployments in multiple AWS environments
● End-end backend engineering infra charter includes Dev ops,Global
deployment, Security and compliances according to latest practices.
Ability to guide the team in debugging production issues and write
best-of-the breed code.
● Drive “engineering excellence” (defects, productivity through automation,
performance of products etc) through clearly defined metrics.
● Stay current with the latest tools, technology ideas and methodologies;
share knowledge by clearly articulating results and ideas to key decision
makers.
● Hiring, mentoring and retaining a very talented team.
Requirements
● B.S. or M.S in Computer Science or a related field (math, physics,
engineering)
● 5-8 years of experience in maintaining infrastructure system/devops
● Enjoy playing with tech like nginx, haproxy, postgres, AWS, ansible,
docker, nagios, or graphite Deployment automation experience with
Puppet/Chef/Ansible/Salt Stack Work with small, tightly knit product
teams that function cohesively to move as quickly as possible.
● Determination to provide reliable and fault tolerant systems to the
application developers that consume them
● Experience in developing Java/C++ backend systems is a huge plus Be a
strong team player.
Preferred
Deep working knowledge of Linux servers and networked environments
Thorough understanding of distributed systems and the protocols they use,
including TCP/IP, RESTful APIs, SQL, NoSQL. Experience in managing a NoSQL
database (Cassandra) is a huge plus.
Job Dsecription:
○ Develop best practices for team and also responsible for the architecture
○ solutions and documentation operations in order to meet the engineering departments quality and standards
○ Participate in production outage and handle complex issues and works towards Resolution
○ Develop custom tools and integration with existing tools to increase engineering Productivity
Required Experience and Expertise
○ Having a good knowledge of Terraform + someone who has worked on large TF code bases.
○ Deep understanding of Terraform with best practices & writing TF modules.
○ Hands-on experience of GCP and AWS and knowledge on AWS Services like VPC and VPC related services like (route tables, vpc endpoints, privatelinks) EKS, S3, IAM. Cost aware mindset towards Cloud services.
○ Deep understanding of Kernel, Networking and OS fundamentals
NOTICE PERIOD - Max - 30 days

- Work with developers to build out CI/CD pipelines, enable self-service build tools and reusable deployment jobs. Find, explore, and advocate for new technologies for enterprise use.
- Automate the provisioning of environments
- Promote new DevOps tools to simplify the build process and entire Continuous Delivery.
- Manage a Continuous Integration and Deployment environment.
- Coordinate and scale the evolving build and cloud deployment systems across all product development teams.
- Work independently, with, and across teams. Establishing smooth running. environments are paramount to your success, and happiness
- Encourage innovation, implementation of cutting-edge technologies, inclusion, outside-of-the[1]box thinking, teamwork, self-organization, and diversity.
Technical Skills
- Experience with AWS multi-region/multi-AZ deployed systems, auto-scaling of EC2 instances, CloudFormation, ELBs, VPCs, CloudWatch, SNS, SQS, S3, Route53, RDS, IAM roles, security groups, cloud watch
- Experience in Data Visualization and Monitoring tools such as Grafana and Kibana
- Experienced in Build and CI/CD/CT technologies like GitHub, Chef, Artifactory, Hudson/Jenkins
- Experience with log collection, filter creation, and analysis, builds, and performance monitoring/tuning of infrastructure.
- Automate the provisioning of environments pulling strings with Puppet, cooking up some recipes with Chef, or through Ansible, and the deployment of those environments using containers, like Docker or Rocket: (have at least some configuration management tool through some version control).
Qualifications:
- B.E/ B.Tech/ M.C.A in Computer Science, Electronics and Communication Engineering, Electronics and Electrical Engineering.
- Minimum 60% in Graduation and Post-Graduation.
- Good verbal and written communication skills
We are a growth-oriented, dynamic, multi-national startup, so those that are looking for that startup excitement, dynamics, and buzz are here at the right place. Read on -
FrontM (http://www.frontm.com/" target="_blank">www.frontm.com) is an edge AI company with a platform that is redefining how businesses and people in remote and isolated environments (maritime, aviation, mining....) collaborate and drive smart decisions.
Successful candidate will lead the back end architecture working alongside VP of delivery, CTO and CEO
The problem you will be working on:
- Take ownership of AWS cloud infrastructure
- Overlook tech ops with hands-on CI/CD and administration
- Develop Node.js Java and backend system procedures for stability, scale and performance
- Understand FrontM platform roadmap and contribute to planning strategic and tactical capabilities
- Integrate APIs and abstractions for complex requirements
Who you are:
- You are an experienced Cloud Architect and back end developer
- You have experience creating AWS Serverless Lambdas EC2 MongoDB backends
- You have extensive CI/CD and DevOps experience
- You can take ownership of continuous server uptime, maintenance, stability and performance
- You can lead a team of backend developers and architects
- You are a die-hard problem solver and never-say-no person
- You have 10+ years experience
- You are very sound in English language
- You have the ability to initiate and lead teams working with senior management
Additional benefits
- Generous pay package, flexible for the right candidate
- Career development and growth planning
- Entrepreneurial environment that nurtures and promotes innovation
- Multi-national team with an enjoyable culture
We'd love to talk to you if you find this interesting and like to join in on our exciting journey








