IOT Developer

 Company Overview:

     Planview has one mission: to build the future of connected work with market-leading portfolio management and work management solutions. Planview is a recognized innovator and industry leader, our solutions enable organizations to connect the business from ideas to impact, empowering companies to accelerate the achievement of what matters most. Our solutions span every class of work, resource, and organization to address the varying needs of diverse and distributed teams, departments, and enterprises.

As a Sr CloudOps Engineer II, you will oversee teams of Engineers and be a champion for configuration management, technologies in the cloud, and continuous improvement. You will work closely with global leaders to ensure that our applications, infrastructure, and processes are scalable, secure, and supportable. By leveraging your production experience and development skills you will work hand in hand with Engineers (Dev, DevOps, DBOps) to design and implement solutions that improve delivery of value to customers, reduce costs, and eliminate toil.

     Responsibilities (What you will do):

•  Guide the professional development of Engineers and support the teams to accomplish business goals
• Work closely with leaders in the Israel to align on priorities and architect, deliver, and manage our products
• Build systems that are secure, scalable, and self-healing.
• Manage and improve deployment pipelines.
• Triage and remediate production issues.
• Participate in on-call rotations for escalations.

Qualifications (What you will bring):

•   Bachelor's degree is CS or equivalent experience in related field.
• 2+ years managing Engineering teams.
• 8+ years of experience as a site reliability or platform engineer, preferably in a fast-scaling environment
• 5+ years administering Linux and Windows environments.
• 3+ years programming / scripting experience (e.g., Python, JavaScript, PowerShell)
• Strong technical knowledge in OS’s (Linux and Windows), virtualizations, storage systems, networking, and firewall implementations
• Maintaining production environments in the On Premise (90%) and Cloud (10%) (e.g., AWS, Google Cloud, Azure)
• Solid understanding of networking principles and how it applies to data flow and security.
• Automating deployments of cloud based available services (e.g., AWS EC2 / RDS, Docker, Kubernetes)
• Experience managing CI/CD infrastructures, with a strong proficiency in platforms like bitbucket and Jenkins to streamline deployment pipelines and ensure efficient software delivery.
• Management of resources using Infrastructure as Code tools (e.g., CloudFormation, Terraform, Chef)
• Knowledge of observability tools such as LogicMonitor, New Relic, Prometheus, and Coralogix, as well as their implementation.
• Worked within Agile and Lean software development teams.
• Experience working in globally distributed teams.
• Ability to look on the big picture and manage risks.

AI & ML (45 Days – Live Hands‑On)

Program Fee: ₹25,000

Duration: 45 Days

Mode: Hybrid (Online Sessions + Live Lab Access)

Eligibility: Freshers, Final‑Year Students, and Career Switchers

About the Internship

This intensive 45‑day internship program is designed for freshers who want to build strong, industry‑relevant skills in Cloud Infrastructure, Cybersecurity, and AI/ML model development. The program offers live production hands‑on training, allowing interns to work on real-world architectures, security workflows, and AI/ML deployments.

Participants will receive end‑to‑end exposure to modern cloud platforms, DevOps practices, security operations, and machine learning deployment, making them job‑ready for roles like:

• Cloud/Infra Engineer
• DevOps Engineer
• Security Analyst
• AI/ML Engineer
• Site Reliability Engineer (SRE)

Key Highlights

• 45 days of practical, mentor-led training
• Live production-style projects and deployments
• Hands‑on experience with:
• AWS / Azure Cloud
• Terraform, CI/CD, Docker, Kubernetes
• Security Hardening & IAM
• Python ML pipelines & model deployment
• Architect & deploy real systems using best practices
• Build portfolio-ready projects
• Receive an industry-recognized Internship Certificate

What You Will Learn

1️⃣ Cloud Infrastructure & DevOps

• Cloud fundamentals (AWS/Azure/GCP)
• Linux administration & scripting
• VPC, Subnets, Routing, NAT, Firewalls
• EC2 provisioning & autoscaling
• Load balancing & High Availability
• Terraform for Infrastructure as Code
• CI/CD pipelines using Jenkins / GitHub Actions
• Docker containerization & Kubernetes basics

2️⃣ Cybersecurity & Cloud Security

• IAM roles, policies, access control
• Server security & hardening
• SSL/TLS, encryption, key management
• Secure VPC & subnet design
• Threat detection & logging
• Secrets management
• Network segmentation & firewall best practices

3️⃣ AI & Machine Learning

• Python for ML
• Supervised and unsupervised algorithms
• Data preprocessing & model training
• Model evaluation & optimization
• Build ML inference APIs using FastAPI/Flask
• Containerize and deploy ML models to cloud
• Integrate monitoring for ML workflows

✅ Live Hands‑On Projects

Interns will work on real-world, production-grade projects such as:

• Deploy a secure 3‑tier web application on cloud
• Automate infra provisioning using Terraform
• Build CI/CD pipelines for automated deployments
• Harden servers & configure security groups, IAM
• Develop and deploy an ML model as a cloud API
• Create monitoring dashboards with Prometheus/Grafana
• End-to-end system deployment with logging and alerting

Each intern will complete a Capstone Project and present it during the final evaluation.

✅ Internship Deliverables

1. Internship Completion Certificate
2. 3+ Production‑level projects
3. GitHub portfolio with all code and deployments
4. Cloud & ML documentation
5. Resume enhancement and guidance
6. Career mentoring + interview preparation

✅ Who Should Apply

This internship is ideal for:

• Fresh graduates
• Final‑year engineering or IT students
• BSc, BCA, MCA, B.Tech learners
• Professionals switching careers to Cloud/DevOps/AI
• Anyone seeking hands‑on, real‑time industry experience

✅ Program Fee

₹25,000/- (includes training, labs, live‑project access, certificate, and mentorship)

✅ Certificate Provided

All participants will receive a verified Internship Certificate, including:

• Candidate Name
• Internship Duration & Dates
• Skills Covered
• Project Evaluation Score
• Authorized Signatory & Company Seal

1. Develop and Deploy Software:
1. Architect and create an effective build and release process using industry best practices and tools
2. Create and manage build scripts to deploy software in a multi-cloud environment
3. Look for opportunities to automate as much of the deployment process as possible to provide for repeatability, auditability, scalability and build in process enforcement
2. Manage Release Schedule:
1. Act as a “gate keeper” for all releases into production
2. Work closely with business stakeholders, development managers and developers to prepare a release schedule
3. Help prioritize deployment requests for version upgrades, patches and hot-fixes
3. Continuous Delivery of Software:
1. Implement Continuous Integration (CI) practices to drive development teams to implement smaller changes and commit code to the version control repo frequently
2. Implement Continuous Development (CD) practices that automates deployment of the application to several environments – Dev, Test and Production
3. Implement Continuous Testing (functional and non-functional) to execute tests in the CI/CD pipeline
4. Manage Version Control:
1. Define and implement branching policies to efficiently manage source-code
2. Implement business rules as a part of source control standards
5. Resolve Software Issues:
1. Assist technical support and development teams to troubleshoot issues and identify areas that need improvement
2. Address deployment related issues
6. Maintain Release Documentation:
1. Maintain release notes (features available in stable versions and known issues) and other documents for both internal and external end users

Job description

The role requires you to design development pipelines from the ground up, Creation of Docker Files,  design and operate highly available systems in AWS Cloud environments. Also involves Configuration Management, Web Services Architectures, DevOps Implementation, Database management, Backups, and Monitoring.

Key responsibility area
- Ensure reliable operation of CI/CD pipelines
- Orchestrate the provisioning, load balancing, configuration, monitoring and billing of resources in the cloud environment in a highly automated manner
- Logging, metrics and alerting management.
- Creation of Bash/Python scripts for automation
- Performing root cause analysis for production errors.Requirement
- Proficient in Linux Commands line and troubleshooting.
- Proficient in AWS Services. Deployment, Monitoring and troubleshooting applications in AWS.
- Hands-on experience with CI tooling preferably with Jenkins. 
- Proficient in deployment using Ansible.
- Knowledge of infrastructure management tools (Infrastructure as cloud) such as terraform, AWS cloudformation etc.
- Proficient in deployment of applications behind load balancers and proxy servers such as nginx, apache. 
- Scripting languages: Bash, Python, Groovy.
- Experience with Logging, Monitoring, and Alerting tools like ELK(Elastic-search, Logstash, Kibana), Nagios. Graylog, splunk Prometheus, Grafana is a plus.

Must Have:
Linux, CI/CD(Jenkin), AWS, Scripting(Bash,shell Python, Go), Ngnix, Docker.

Good to have
Configuration Management(Ansible or similar tool), Logging tool( ELK or similar), Monitoring tool(Ngios or similar), IaC(Terraform, cloudformation).

About the Company

• 💰 Early-stage, ed-tech, funded, growing, growing fast
• 🎯 Mission Driven: Make Indonesia competitive on a global scale
• 🥅 Build the best educational content and technology to advance STEM education
• 🥇 Students-First approach
• 🇮🇩 🇮🇳 Teams in India and Indonesia

Skillset 🧗🏼‍♀️

• You primarily identify as a DevOps/Infrastructure engineer and are comfortable working with systems and cloud-native services on AWS
• You can design, implement, and maintain secure and scalable infrastructure delivering cloud-based services
• You have experience operating and maintaining production systems in a Linux based public cloud environment
• You are familiar with cloud-native concepts - Containers, Lambdas, Orchestration (ECS, Kubernetes)
• You’re in love with system metrics and strive to help deliver improvements to systems all the time
• You can think in terms of Infrastructure as Code to build tools for automating deployment, monitoring, and operations of the platform
• You can be on-call once every few weeks to provide application support, incident management, and troubleshooting
• You’re fairly comfortable with GIT, AWS CLI, python, docker CLI, in general, all things CLI. Oh! Bash scripting too!
• You have high integrity, and you are reliable

What you can expect from us 👌🏼

☮️ Mentorship, growth, great work culture

• Mentorship and continuous improvement are a part of the team’s DNA. We have a battle-tested robust growth framework. You will have people to look up to and people looking up to you
• We are a people-first, high-trust, high-autonomy team
• We live in the TDD, Pair Programming, First Principles world

🌏 Remote done right

• Distributed does not mean working in isolation, feeling alone, being buried in Zoom calls
• Our leadership team has been WFH for 10+ years now and we know how remote teams work. This will be a place to belong
• A good balance between deep focussed work and collaborative work ⚖️

🖥️ Friendly, humane interview process

• 30-minute alignment check and screening call
• A short take-home coding assignment, no more than 2-3 hours. Time is precious
• Pair programming interview. Collaborate, work together. No sitting behind a desk and judging
• In-depth engineering discussion around your skills and career so far
• System design and architecture interview for seniors

What we ask from you👇🏼

• Bring your software engineering — both individual brilliance and collaborative skills
• Bring your good nature — we're building a team that supports each other
• Be vested or interested in the company vision

The expectation is to set up complete automation of CI/CD pipeline & monitoring and ensure high availability of the pipeline. The automated deployment environment can be on-prem or cloud (virtual instances, containerized and serverless). Complete test automation and ensure Security of Application as well as Infrastructure.

ROLES & RESPONSIBILITIES

Configure Jenkins with load distribution between master/slave Setting up the CI pipeline with Jenkins and Cloud(AWS or Azure) Code Build Static test (Quality & Security) Setting up Dynamic Test configuration with selenium and other tools Setting up Application and Infrastructure scanning for security. Post-deployment security plan including PEN test. Usage of RASP tool. Configure and ensure HA of the pipeline and monitoring Setting up composition analysis in the pipeline Setting up the SCM and Artifacts repository and management for branching, merging and archiving Must work in Agile environment using ALM tool like Jira DESIRED SKILLS

Extensive hands-on Continuous Integration and Continuous Delivery technology experience of .Net, Node, Java and C++ based projects(Web, mobile and Standalone). Experience configuring and managing

• ALM tools like Jira, TFS, etc.
• SCM such as GitHub, GitLab, CodeCommit
• Automation tools such as Terraform, CHEF, or Ansible
• Package repo configuration(Artifactory / Nexus), Package managers like Nuget & Chocholatey
• Database Configuration (sql & nosql), Web/Proxy Setup(IIS, Nginx, Varnish, Apache).

Deep knowledge of multiple monitoring tools and how to mine them for advanced data Prior work with Helm, Postgres, MySQL, Redis, ElasticSearch, microservices, message queues and related technologies Test Automation with Selenium / CuCumber; Setting up of test Simulators. AWS Certified Architect and/or Developer; Associate considered, Professional preferred Proficient in: Bash, Powershell, Groovy, YAML, Python, NodeJS, Web concepts such as REST APIs and Aware of MVC and SPA application design. TTD experience and quality control with Sonarqube or Checkmarx, Tics Tiobe and Coverity Thorough with Linux(Ubuntu, Debian CentOS), Docker(File/compose/volume), Kubernetes cluster setup Expert in Workflow tools: Jenkins(declarative, plugins)/TeamCity and Build Servers configuration Experience with AWS CloudFormation / CDK and delivery automation Ensure end-to-end deployments succeed and resources come up in an automated fashion Good to have ServiceNow configuration experience for collaboration

What you will get:

1. To be a part of the Core-Team 💪
2. A Chunk of ESOPs 🚀
3. Creating High Impact by Solving a Problem at Large (No one in the World has a similar product) 💥
4. High Growth Work Environment ⚙️

What we are looking for:

1. An 'Exceptional Executioner' -> Leader -> Create an Impact & Value 💰
2. Ability to take Ownership of your work
3. Past experience in leading a team

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: 

• Expertise in Infrastructure & Application design & architecture
• Expertise in AWS, OS & networking
• Having good exposure on Infra & Application security
• Expertise in Python, Shell scripting
• Proficient with Devops tools Terraform, Jenkins, Ansible, Docker, GIT
• Solid background in systems engineering and operations
• Strong in Devops methodologies and processes
• Strong in CI/CD pipeline & SDLC.