INFOPARK

Senior Devops Engineer

Job Description: Senior Devops Engineer
Job Code: CUB/2026/SSE/023
Experience Required:5+ Years
Job Location: Infopark, Kochi

Why Join Us?

Innovative Environment: Join a forward-thinking company that encourages creativity and problem-solving.
Career Growth: Opportunities for professional development and career advancement.
Collaborative Culture: Work in a team-oriented environment where your contributions are valued.
Competitive Compensation: Attractive salary package and performance-based incentives.

About the Role
We are looking for an experienced Senior DevOps Engineer to design, implement, and maintain robust infrastructure, CI/CD pipelines, and cloud environments. The ideal candidate will have strong hands-on expertise across multi-cloud platforms, automation tools, containerization, networking, and system administration, along with the ability to mentor junior team members and collaborate closely with development teams.


Key Responsibilities
Design,build, and maintainscalable, secure, and highly available infrastructure across AWS, Azure, and Google Cloud.
Develop,manage, and optimizeCI/CD pipelines using GitLab-CI, GitHub Actions/Workflows, and related plugins/tools.
Administer and configure Linuxservers, Nginx, and Apache web servers for performance, security, and reliability.
Manageand maintain relational databases (MySQL, PostgreSQL) and NoSQL databases (MongoDB), including backups, scaling, and performance tuning.
Supportand troubleshoot variousapplication stacks includingPHP, Node.js, Java, and React-based applications.
Implement and manage networking and security configurations, including SSL/TLS certificates, VPN/IPSec tunnels, and firewalls.
Writeand maintain automation scripts using Bash or Pythonto streamline operations and deployments.
Deployand manage containerized applications using Dockerand orchestrate workloads using Kubernetes.
Buildand manage Infrastructure as Code (IaC)using Terraform, CloudFormation, and Ansible.
Administer virtualization environments using VMware / Proxmox .
Set up and maintain system monitoring, logging,and observability tools to ensure system health and proactive issue detection.
Participate in incidentresponse, root causeanalysis, and post-mortem documentation.
Collaborate with development, QA, and securityteams to ensure smooth releasesand adherence to best practices.
Continuously evaluate and recommendimprovements to infrastructure, tooling, and processes.


Required Skills & Qualifications
5+ yearsof hands-onexperience in a DevOps/Infrastructure engineering role.
Strong knowledge of Linux system administration.
Proven experience with CI/CD tools andpipeline design (GitLab-CI, GitHub, Bitbucket,
AWS CodeCommit, relatedplugins).
Solid working experience with AWS, Azure, and Google Cloud Platform.
Certification in AWS (e.g., AWS Certified SolutionsArchitect/SysOps) / RHCE/RHCSA (Red Hat Certification).
Strong grasp of Nginx and Apacheadministration and configuration.
Experience administering relationaldatabases (MySQL, PostgreSQL) and NoSQL databases (MongoDB).
Generalunderstanding of multipleapplication stacks — PHP, Node.js, Java, React, etc.
Proficiency in networkingand network security: SSL/TLS certificates, VPN/IPSec tunnels, firewalls.
Scripting skillsin Bash and Python.
Hands-onexpertise with Docker, Kubernetes, VMware, Ansible, Terraform, and CloudFormation.
Experience with system monitoring and observability tools (e.g., Prometheus, Grafana, CloudWatch, Nagios or similar).
Strong analytical, troubleshooting, and problem-solving skills.
Excellent communication skills and ability to work in a collaborative, cross-functional environment.
Qualifications
Good communication skills
Experience working in regulated or high-availability environments
Ability to adhereto follow qualityprocess on the assigned tasks
Knowledge and strongpassion for learningand adapting to new technologies
Ability to understand requirements and act spontaneously
Ability to work independently on technologically challenging requirement

AI Solutions Engineer

Job Title: AI Solutions Engineer
Job Code: CJD1228
Experience: 7+ years
Job Location: Infopark, Kochi

Why Join Us?
Innovative Environment: Join a forward-thinking company that encourages creativity and problem-solving.
Career Growth: Opportunities for professional development and career advancement.
Collaborative Culture: Work in a team-oriented environment where your contributions are valued.
Competitive Compensation: Attractive salary package and performance-based incentives.
Role Overview
An experienced and innovative AI Solutions Engineer to design, develop, and deploy scalable AI/ML solutions that address business challenges - the ideal candidate bridges the gap between data science, software engineering, and business needs, translating requirements into production-ready intelligent systems.

Key Responsibilities
Design, build, and deploy AI/ML models and solutions in production environments
Collaborate with stakeholders to understand business requirements and translate them into AI-driven solutions
Develop end-to-end pipelines including data ingestion, preprocessing, model training, evaluation, and deployment
Integrate AI capabilities into existing applications using APIs, microservices, and cloud platforms
Optimize model performance, scalability, and cost efficiency
Monitor deployed models, ensuring reliability, accuracy, and continuous improvement
Work closely with data scientists, software engineers, and DevOps teams
Stay up to date with advancements in AI/ML technologies and recommend best practices
Build documentation, reusable components, and solution architectures
Required Skills
Strong understanding of machine learning, deep learning, and AI concepts
Proficiency in Python (TensorFlow, PyTorch, Scikit-learn)
Experience with LLMs, NLP, Computer Vision, or Generative AI
Knowledge of data engineering (ETL pipelines, SQL, Spark, etc.)
Experience with cloud platforms (Azure, AWS, or GCP) and ML services
Familiarity with MLOps tools (MLflow, Kubeflow, Docker, Kubernetes)
Experience building REST APIs and microservices
Understanding of version control (Git) and CI/CD pipelines
Soft Skills
Excellent communication and teamwork abilities.
Strong problem-solving and analytical skills.
Ability to work in cross-functional teams.
Ability to translate complex technical concepts into business value
Qualifications
Bachelor’s degree in Computer Science, AI, Data Science, or related field

ML Engineer

Job Title: ML Engineer
Job Code: CJD1229
Experience: 4+ years
Job Location: Infopark, Kochi

Why Join Us?
Innovative Environment: Join a forward-thinking company that encourages creativity and problem-solving.
Career Growth: Opportunities for professional development and career advancement.
Collaborative Culture: Work in a team-oriented environment where your contributions are valued.
Competitive Compensation: Attractive salary package and performance-based incentives.
Role Overview
We are seeking a skilled Machine Learning Engineer to design, build, and deploy machine learning models and systems at scale. The role involves working closely with data scientists, software engineers, and business teams to transform data into actionable insights and production-ready ML solutions.

Key Responsibilities
Design, develop, and deploy scalable machine learning models and pipelines
Build and maintain end-to-end ML workflows (data collection, preprocessing, training, evaluation, deployment)
Collaborate with data scientists to operationalize models into production environments
Optimize model performance, accuracy, and latency
Implement data validation, monitoring, and model retraining strategies
Develop APIs and microservices to serve ML models
Work with large datasets using distributed systems and big data tools
Ensure reliability, scalability, and performance of ML systems
Maintain proper documentation and version control for models and pipelines
Design and implement Generative AI solutions using Large Language Models (LLMs).
Develop and optimize Retrieval-Augmented Generation (RAG) pipelines.
Build AI agents and workflow automation using modern AI frameworks.
Required Skills
Strong understanding of machine learning algorithms and statistical modeling
Proficiency in Python and ML libraries (Scikit-learn, TensorFlow, PyTorch)
Experience with data structures, algorithms, and software engineering principles
Knowledge of data preprocessing and feature engineering techniques
Experience with SQL and databases
Familiarity with cloud platforms (AWS, Azure, or GCP)
Experience managing ML lifecycle using tools such as MLflow, Weights & Biases, Kubeflow, or similar platforms.
Experience with CI/CD pipelines and version control (Git)
Familiarity with ETL/ELT workflows and data orchestration platforms.
Preferred Skills
Experience with big data tools (Spark, Hadoop)
Knowledge of deep learning, NLP, or computer vision
Experience deploying models using REST APIs or microservices frameworks (FastAPI, Flask)
Familiarity with containerization and orchestration tools (Docker, Kubernetes)
Experience with LLM frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, or similar.
Experience in model monitoring and drift detection
Soft Skills
Excellent communication and teamwork abilities.
Strong problem-solving and analytical skills.
Attention to detail and quality
Ability to work in cross-functional teams.
Qualifications
Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or related field.

Lead Software Engineer - Python

Job Title: Lead Software Engineer – Python
Experience: 5+ yrs
Job Location: Infopark, Kochi
Why Join Us?
Innovative Environment: Join a forward-thinking company that encourages creativity and modern engineering practices.
Career Growth: Ample opportunities for professional development, technical leadership, and career advancement.
Collaborative Culture: Work in a cross-functional, team-oriented environment where your contributions directly shape infrastructure modernization.
Competitive Compensation: Attractive salary package with performance-based incentives.
Key Responsibilities
API & Backend Development
Design, build, scale, and maintain high-performance REST APIs and backend microservices using Python and FastAPI.
Implement asynchronous workflows, robust data models, and scalable API integrations to interface with network infrastructure.
Oversee code quality, establish engineering best practices, and conduct comprehensive code reviews to ensure reliability and maintainability.
Network Automation & Workflow Orchestration
Design and build scalable, resilient network automation workflows using tools such as Netmiko, Nornir, and Ansible.
Modernize manual network operations by automating provisioning, configuration management, and compliance checks.
Integrate network automation tooling into continuous delivery pipelines to streamline deployment workflows.
Network Operations & Troubleshooting
Apply deep networking fundamentals to diagnose, troubleshoot, and resolve complex issues across enterprise and data center networks.
Interface with and manage configurations for routing, switching, firewalls, and core network protocols (TCP/IP, BGP, OSPF).
DevOps, CI/CD & Testing
Implement and manage robust CI/CD pipelines to modernize deployment lifecycles and operational workflows.
Drive automated testing suites to validate both network orchestration scripts and API endpoints prior to production deployment.
Containerize services using Docker to support seamless local and production environments.
Technical Leadership & Mentoring
Mentor engineering team members on network programmability, API development, and automation standards.
Translate operational and infrastructure requirements into production-ready software solutions.
Required Skills
5+ years of hands-on software development experience with Python.
Strong expertise in building high-performance RESTful APIs using FastAPI and modern asynchronous programming.
Extensive hands-on experience with network automation frameworks and libraries, specifically Netmiko, Nornir, and Ansible.
Deep networking fundamentals: TCP/IP, routing & switching, BGP, OSPF, and firewalls.
Proven track record of replacing manual infrastructure operations with automated workflows and CI/CD pipelines.
Strong proficiency with Git version control, collaborative development, and automated testing frameworks.
Preferred Skills
Hands-on experience containerizing services using Docker and orchestrating multi-service environments.
Exposure to enterprise network management systems, ITSM tooling (e.g., ServiceNow), and change management lifecycles.
Familiarity with event-driven architecture or message brokers (e.g., Kafka, RabbitMQ).
Experience with dependency management (Poetry) and pre-commit code formatting hooks.
Soft Skills
Strong analytical, problem-solving, and root-cause troubleshooting abilities.
Excellent written and verbal communication skills with the ability to bridge software engineering and network operations.
Proactive, collaborative mindset with strong ownership over technical deliverables.
Qualifications
Bachelor’s or Master’s degree in Computer Science, Information Technology, Network Engineering, or a related field (or equivalent practical experience).

Head – Domestic Sales & Business Development

Job Title: Head – Domestic Sales & Business Development
Job Code: CUB/2026/SSE/020
Experience: 10–15 years
Job Location: Infopark, Kochi

Why Join Us?
Innovative Environment: Join a forward-thinking company that encourages creativity and problem-solving.
Career Growth: Opportunities for professional development and career advancement.
Collaborative Culture: Work in a team-oriented environment where your contributions are valued.
Competitive Compensation: Attractive salary package and performance-based incentives.

About the Role

Cubet is building its domestic (India) sales practice. You'll be the founding hire, building the strategy, team, and pipeline from scratch, with direct leadership team access and full ownership of a new business line.

Key Responsibilities
Build and execute Cubet's domestic sales strategy and pipeline.
Own the domestic new-business target across the private and public sector.
Hire and lead the sales and tender-management team.
Drive opportunities across AI, custom software, cloud/data, and managed services.
Build relationships with CXOs, procurement leaders, government officials and institutional decision-makers.
Personally lead major deals end-to-end: engagement, proposal, negotiation, close.
Establish government/PSU readiness, empanelments, GeM registration, tender qualification.
Build partnerships with system integrators, consultants and channel partners.
Mentor the team as it scales; report pipeline, forecast and market intelligence to leadership.
Candidate Profile
10–15 years in IT services/tech consulting sales; 5+ years in a senior sales leadership role.
Track record of independently closing multi-crore contracts.
Experience building a sales function from scratch, this role suits a builder, not a caretaker.
Strong network across Indian enterprises, government, PSUs, or procurement ecosystems.
Experience building/managing sales teams; strong negotiation and executive communication skills.
Bachelor's required; MBA preferred. Willingness to travel extensively.
What Success Looks Like

Year 1: Strategy and team in place, key empanelments secured, qualified multi-crore pipeline built, first reference wins closed.
Year 2+: Scaled team, high-value contracts closed, predictable forecastable revenue.

Compensation

Cubet offers competitive fixed compensation with a substantial performance-linked incentive based on new business, revenue realisation, commercial margins and collections.
Exceptional performers will have the opportunity to build and lead a strategically important business practice within Cubet.

Skills

Building Sales Team
GeM
business development
Budget Management
tender management