DevOps Engineer

Candidate must be from a product-based 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 atleast)

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

Must have skills:

● Experience: 6+ years of hands-on experience in Cloud Platform Engineering, DevOps, or Site Reliability Engineering (SRE).

● Multi-Cloud Infrastructure: Proficiency in architecting, deploying, and maintaining cloud infrastructure across GCP and Azure (VPC, IAM, Cloud Storage/Blob, Cloud Run/Functions, Pub/Sub, GKE/AKS, Cloud SQL).

● Container Orchestration: Extensive experience with Kubernetes (GKE or AKS) and Docker for managing and scaling containerized applications.

● Infrastructure as Code (IaC) & Automation: Strong proficiency using Terraform along with Python and Bash/Shell scripting for infrastructure automation.

● CI/CD Automation: Experience building and managing CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI, or ArgoCD.

● Observability & Monitoring: Experience using tools such as Datadog, Prometheus, Grafana, or Splunk for monitoring, logging, and alerting.

● Secrets & Security Management: Experience managing sensitive credentials using HashiCorp Vault, GCP Secret Manager, or Azure Key Vault.

● Architecture & Networking: Understanding of microservices architecture, service-oriented architecture, event-driven systems (Pub/Sub), and cloud networking principles.

Good to have skills:

● AI/ML Infrastructure: Familiarity with infrastructure for ML workloads such as Vertex AI, Azure Machine Learning, GPU node pools, or Vector Databases.

● Advanced Kubernetes: Working knowledge of Kyverno for policy management, Karpenter for cluster autoscaling, or building Kubernetes operators using Go.

● Multi-Cloud Management: Familiarity with Crossplane for managing multi-cloud environments and building cloud-native platforms.

● Cloud Reliability & FinOps: Understanding of disaster recovery, fault tolerance, and cost allocation practices through resource tagging.

● Domain & Compliance: Experience working in regulated environments such as BFSI or Insurance.

Responsibilities

 Provisioning and de-provisioning AWS accounts for internal customers

 Work alongside systems and development teams to support the transition and operation of client websites/applications in and out of AWS.

 Deploying, managing, and operating AWS environments

 Identifying appropriate use of AWS operational best practices

 Estimating AWS costs and identifying operational cost control mechanisms

 Keep technical documentation up to date

 Proactively keep up to date on AWS services and developments

 Create (where appropriate) automation, in order to streamline provisioning and de-provisioning processes

 Lead certain data/service migration projects

Job Requirements

 Experience provisioning, operating, and maintaining systems running on AWS

 Experience with Azure/AWS.

 Capabilities to provide AWS operations and deployment guidance and best practices throughout the lifecycle of a project

 Experience with application/data migration to/from AWS

 Experience with NGINX and the HTTP protocol.

 Experience with configuration and management software such as GIT  Strong analytical and problem-solving skills

 Deployment experience using common AWS technologies like VPC, and regionally distributed EC2 instances, Docker, and more.

 Ability to work in a collaborative environment

 Detail-oriented, strong work ethic and high standard of excellence

 A fast learner, the Achiever, sets high personal goals

 Must be able to work on multiple projects and consistently meet project deadlines

• As a DevOps Engineer, you need to have strong experience in CI/CD pipelines.
• Setup development, testing, automation tools, and IT infrastructure
• Defining and setting development, test, release, update, and support processes for DevOps operation
• Selecting and deploying appropriate CI/CD tools
• Deploy and maintain CI/CD pipelines across multiple environments (Mobile, Web API’s & AIML)

• 3+ years of experience as DevOps Engineer and strong working knowledge in CI/CD pipelines
• Experience administering and deploying development CI/CD using Git, BitBucket, CodeCommit, Jira, Jenkins, Maven, Gradle, etc
• Strong knowledge in Linux-based infrastructures and AWS/Azure/GCP environment
• Working knowledge on AWS (IAM, EC2, VPC, ELB, ALB, Autoscaling, Lambda, etc)
• Experience with Docker containerization and clustering (Kubernetes/ECS)
• Experience on Android source(AOSP) clone, build, and automation ecosystems
• Knowledge of scripting languages such as Python, Shell, Groovy, Bash, etc
• Familiar with Android ROM development and build process
• Knowledge of Agile Software Development methodologies

Intuitive is the fastest growing top-tier Cloud Solutions and Services company supporting Global Enterprise Customer across Americas, Europe and Middle East. This is an excellent opportunity to join ITP’s global world class technology teams, working with some of the best and brightest engineers while also developing your skills and furthering your career working with some of the largest customers. 

Job Description: 

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

• Mandatory: Docker, AWS, Linux, Kubernete or ECS
• Prior experience provisioning and spinning up AWS Clusters / Kubernetes
• Production experience to build scalable systems (load balancers, memcached, master/slave architectures)
• Experience supporting a managed cloud services infrastructure
• Ability to maintain, monitor and optimise production database servers
• Prior work with Cloud Monitoring tools (Nagios, Cacti, CloudWatch etc.)
• Experience with Docker, Kubernetes, Mesos, NoSQL databases (DynamoDB, Cassandra, MongoDB, etc)
• Other Open Source tools used in the infrastructure space (Packer, Terraform, Vagrant, etc.)
• In-depth knowledge on Linux Environment.
• Prior experience leading technical teams through the design and implementation of systems infrastructure projects.
• Working knowledge of Configuration Management (Chef, Puppet or Ansible preferred) Continuous Integration Tools (Jenkins preferred)
• Experience in handling large production deployments and infrastructure.
• DevOps based infrastructure and application deployments experience.
• Working knowledge of the AWS network architecture including designing VPN solutions between regions and subnets
• Hands-on knowledge with the AWS AMI architecture including the development of machine templates and blueprints
• He/she should be able to validate that the environment meets all security and compliance controls.
• Good working knowledge of AWS services such as Messaging, Application Services, Migration Services, Cost Management Platform.
• Proven written and verbal communication skills.
• Understands and can serve as the technical team lead to oversee the build of the Cloud environment based on customer requirements.
• Previous NOC experience.
• Client Facing Experience with excellent Customer Communication and Documentation Skills

Your skills and experience should cover:

• 5+ years of experience with developing, deploying, and debugging solutions on the AWS platform using ALL AWS services such as S3, IAM, Lambda, API Gateway, RDS, Cognito, Cloudtrail, CodePipeline, Cloud Formation, Cloudwatch and WAF (Web Application Firewall).

• Amazon Web Services (AWS) Certified Developer: Associate, is required; Amazon Web Services (AWS) DevOps Engineer: Professional, preferred.

• 5+ years of experience using one or more modern programming languages (Python, Node.js).

• Hands-on experience migrating data to the AWS cloud platform

• Experience with Scrum/Agile methodology.

• Good understanding of core AWS services, uses, and basic AWS architecture best practices (including security and scalability)

• Experience with AWS Data Storage Tools.

• Experience in Configure and implement AWS tools such as CloudWatch, CloudTrail and direct system logs for monitoring.

• Experience working with GIT, or similar tools.

• Ability to communicate and represent AWS Recommendations and Standards.

The following areas are highly advantageous:

• Experience with Docker

• Experience with PostgreSQL database