Infopark Kochi Kochi Kerala Software engineer (python) Jobs – 103 Open Jobs Today

DevOps Engineer
Prevalent AI —Kakkanad, Kochi, Kerala
- Full-time
- Azure
- Computer Science
- Master's degree
Full Stack Developer
I Leaf Solutions —Infopark-Kochi, Kochi, Kerala
- Full-time
- Azure
- AWS
- JavaScript
Quick apply
7d
DevOps Engineer
hash root —Kochi, Kerala
- Azure
- DevOps
- AWS
AI Developer
G3 Interactive —Kochi, Kerala
- ₹15,000 - ₹30,000 a month
- Full-time
- Azure
- Computer Science
- Software troubleshooting
Quick apply
Software Developer Intern
Court Click —Kochi, Kerala
- ₹6,000 - ₹8,000 a month
- Computer Science
- Software troubleshooting
- Databases
Quick apply
DevOps Engineer
Clado Solutions —Kochi, Kerala
- ₹15,000 - ₹20,000 a month
- Full-time
- Azure
- AWS
- Scripting
Quick apply
Full Stack Developer (India)
Cami.AI —Kochi, Kerala
- Computer Science
- AWS
- Project management
Quick apply
Cloud Engineer
Phygital Insights —Kochi, Kerala
- Full-time
- Azure
- DevOps
- Windows
Full Stack Engineer - Angular - Kochi
BerryWorks —Kochi, Kerala
- Computer Science
- Databases
- AWS
Quick apply
Full Stack Developer
ELKANIO RESEARCH LABS —Kochi, Kerala
- ₹50,000 - ₹1,00,000 a month
- Full-time
- Hospitality
- Databases
- AWS
- Flexible schedule
Quick apply
Odoo Developer
Addonez MarketPlace LLP —Kochi, Kerala
- ₹15,000 - ₹65,000 a month
- Full-time
- Hybrid work
- AWS
- Analysis skills
- JavaScript
Quick apply
Cloud Network Engineer
Adfolks —Kochi, Kerala
- Full-time
- Azure
- AWS
- Computer networking
Quick apply
Chef DevOps Engineer
Phygital Insights —Kochi, Kerala
- Full-time
- DevOps
- Windows
- SQL
Senior DevOps Engineer
Pinmicro —Kochi, Kerala
- Full-time
- Computer Science
- English
- AWS
DevOps Engineer
PixDynamics —Kochi, Kerala
- Email
- Azure
- DevOps
- AWS
Site Reliability Engineer Intern
Nerdience Technologies Pvt Ltd —Kochi, Kerala
- Up to ₹5,000 a month
- Hybrid work
- Azure
- Software troubleshooting
- DevOps
- Flexible schedule
Quick apply
Full Stack Developer
G3 Renewables —Kochi, Kerala
- ₹25,000 a month
- Full-time
- APIs
- In-person
- Communication skills
- Commuter assistance
- Health insurance
Quick apply
5d
Cloud Platform Engineer
Accenture —Kochi, Kerala
- Full-time
- Azure
- AWS
- Agile
Site Reliability Engineer Specialist
Accenture —Kochi, Kerala
- Full-time
- Azure
- Java
- AWS
Senior Odoo Developer
iCodeBees Private Limited —Infopark-Kochi, Kochi, Kerala
- ₹40,000 - ₹90,000 a month
- Full-time
- Master's degree
- Bachelor's degree
- JavaScript
Quick apply

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DevOps Engineer

Prevalent AI
Kakkanad, Kochi, Kerala

Apply Now

Job details

Full-time

Qualifications

CI/CD
Azure
Computer Science
Kubernetes
Ansible
Big data
Encryption
Git
Google Cloud Platform
Information security
Master's degree
Bash (Unix shell)
AWS
Bachelor's degree
Terraform
Continuous integration
Scripting
GitHub
ISO 27001
Data science
AI
Jenkins
Communication skills
Python

Full job description

Company Profile:

Prevalent AI (PAI) is a Security Data Science Company, founded in the UK, by experts recognized globally, for solving the world’s toughest security problems. We apply the world’s best Security Data Science knowledge and expertise to help companies understand, deploy and support the most advanced security solutions, by developing a security architecture based on a deep understanding of Data Science, Security Tradecraft and Big Data Technologies.

PAI’s Security Data Science (SDS) platform is a big data security analytics platform that can ingest wide range of security telemetry data and apply advanced analytical approaches to identify and detect control weakness and security risks within enterprises.

PAI team consists of Cyber Security Domain Specialists, Information Security Analysts, Data Scientists, Data Engineers and Data Analysts focused on developing advanced security analytics solutions (Solution Development) and delivering security insights to our clients.

Prevalent AI India Pvt Ltd., a subsidiary of Prevalent AI, has offices in Infopark, Cochin, Kerala. For more information, please visit https://www.prevalent.ai

Role Purpose and Key Accountabilities:

The role of a DevOps Engineer at PAI is to design, deploy, support, scale and enhance our open-source big data and analytics platform and to model, test, and capture performance bottlenecks and stability issues, at the application level, in a complex distributed environment. This role is part of a talented team of engineers that demonstrate superb technical competency, delivering mission-critical infrastructure and ensuring the highest levels of availability, performance, and security.

Key accountabilities include:

Identifying, designing and deploying DevOps solutions to cloud-native, on-premises data centers or hybrid environments.
Designing, developing and building security reference DevOps architecture for public, private, and hybrid Cloud-based systems with Amazon Web Services (AWS), Azure, or other cloud providers
Working closely with IT security to monitor the company's cloud privacy and adhere to Security and Compliance standards ( ISO/ IEC 27001 , SOC2, etc.)
Supporting and maintaining developed DevOps solutions to meet agreed service level targets and quality objectives while ensuring the readiness and availability of disaster recovery environments
Working with application developers to automate and accelerate applications' testing, release, and deployment into a runtime environment quickly, repeatably, and reliably.

Skills & Experience:

Proficiency in scripting using Bash, Python, or other common scripting languages for automation.
Relevant hands-on experience with cloud service providers such as AWS, Azure, Google Cloud, or others to deploy and manage cloud-based resources and services.
Proficiency with Git and GitHub workflows to ensure efficient collaboration and tracking of code changes.
Relevant experience in designing, developing and managing infrastructure using IaC tools such as Terraform, CloudFormation, ARM Templates, or similar technologies to provision and configure cloud resources.
Relevant hands-on experience in Implementing and maintaining CI/CD pipelines to automate application build, test, and deployment using tools like Jenkins, JFrog Artifactory, Ansible, and ArgoCD.
Managing and orchestrating containers using Kubernetes, including deployment, scaling, and updates of containerized applications.
Deploying, configuring, and maintaining Kubernetes clusters in a production environment.
Continuously analyzing and optimizing resource utilization, cost, and performance of Cloud resources and Kubernetes clusters.
Performing root cause analysis for production and non-production environment errors. Investigating and resolving technical issues.
Implementing security best practices and monitoring for vulnerabilities, applying patches and updates as needed. Enforcing access controls and encryption mechanisms.
Setting up and configuring monitoring, logging, and alerting systems (e.g., Prometheus, Grafana, AWS Cloud Watch, Azure Monitor, etc) to ensure system performance and security.
Self-motivated individual capable of working in a fast-paced environment.

Education and Certifications:

Master’s/Bachelor's equivalent degree in Computer Science, Engineering or relevant field.

Apply Now

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