INFOPARK

Site Reliability Engineer / DevOps Engineer

Job Title : SRE / DevOps Engineer
Job Type: Contract
Work mode: Remote
Experience: 6+ Years
Notice Period: Immediate

Position Overview:
This is a primary role with full ownership of the SRE/DevOps function. The position focuses on managing
production AWS environments, implementing infrastructure as code, scaling and performance engineering,
and ensuring system reliability and security. The role requires hands-on experience with containerized
applications, CI/CD pipelines, and proactive infrastructure optimization.

Key Responsibilities:
* Full ownership of SRE/DevOps function
* Manage production AWS environments including ECS, ECR, CloudFront, and RDS
* Deploy and scale services using ECS
* Manage container lifecycle with ECR
* Configure and tune CloudFront CDN for performance
* Perform operational management of RDS
* Build and maintain CI/CD pipelines using GitHub Actions
* Implement and manage infrastructure as code using Terraform
* Deploy Terraform via CI/CD pipelines
* Expand and refactor existing IaC footprint
* Configure and tune auto-scaling for ECS
* Handle burst traffic patterns and high-concurrency events
* Conduct capacity planning
* Optimize performance under load
* Monitor infrastructure and implement proactive reliability improvements
* Recommend architectural improvements
* Perform resource mapping and infrastructure optimization
* Improve system resilience and fault tolerance
* Participate in structured incident response
* Implement data classification and governance controls
* Manage secure integrations with external systems
* Ensure secure data handling practices in AWS

Required Skills:
* Strong AWS experience in production environments
* ECS service deployment and scaling
* ECR container lifecycle management
* CloudFront CDN configuration and performance tuning
* RDS operational management
* GitHub Actions for CI/CD pipelines in production
* Containerized application environments
* Terraform hands-on implementation
* Managing Terraform deployments via CI/CD
* Experience expanding or refactoring existing IaC footprint
* Auto-scaling configuration and tuning for ECS
* Experience with burst traffic patterns
* Capacity planning
* Performance optimization under load
* Infrastructure monitoring and proactive reliability improvements
* Ability to recommend architectural improvements
* Resource mapping and infrastructure optimization
* Experience improving resilience and fault tolerance
* Exposure to structured incident response environments
* GDPR familiarity
* Experience implementing data classification or governance controls
* Secure data handling practices in AWS
* Experience managing secure integrations

Preferred (Bonus) Skills:
* Experience with e-commerce spike traffic patterns
* Experience with high-concurrency events
* Experience with external data warehouse integrations

QA Engineer - AI Accuracy & Validation Testing

We are seeking a QA Engineer to join our AI Quality Assurance team, focusing on accuracy, robustness, reliability, and ethical validation of AI/ML and Generative AI systems. This role goes beyond traditional QA and involves testing non-deterministic, data-driven, and probabilistic AI outputs.
The ideal candidate has completed QA training in Manual and Automation Testing, possesses Python knowledge, and is eager to work closely with AI/ML engineers to ensure high-quality, explainable, and trustworthy AI systems.

Key Responsibilities
AI-Specific Testing Responsibilities
• Perform accuracy, validation, and consistency testing for AI/ML and Generative AI applications
• Test non-deterministic systems where the same input may produce different outputs
• Define and validate probabilistic acceptance criteria instead of fixed expected results
• Conduct model robustness testing using noisy, edge-case, and adversarial inputs
• Identify and report hallucinations in Generative AI (LLMs, chatbots, NLP systems)
• Perform prompt testing and prompt regression testing to ensure stable AI responses after model or prompt updates
• Validate explainability and justification of AI outputs (why a model produced a specific result)
• Execute fairness, bias, and ethical testing to detect skewed, unsafe, or discriminatory AI behaviour
Manual & Automation Testing
• Design and execute manual test cases for AI workflows, edge cases, and real-world scenarios
• Validate AI outputs against datasets, expected patterns, statistical thresholds, and business rules
• Develop and maintain automation scripts using Selenium with Python for AI-driven workflows
• Automate repetitive AI accuracy, regression, and validation tests
• Perform regression testing after model retraining, fine-tuning, or data updates
Collaboration & Documentation
• Work closely with AI/ML engineers and data teams to understand models, prompts, inputs, and outputs
• Analyse incorrect or inconsistent AI responses and log high-quality, detailed defects
• Work with structured and unstructured data (text, images, datasets) for testing
• Document test results, observations, risks, and AI improvement recommendations
• Participate in Agile/Scrum ceremonies and sprint QA activities

Required Skills & Qualifications
• Completed QA training in Manual and Automation Testing
• Strong understanding of testing fundamentals, SDLC, and STLC
• Mandatory Python knowledge (academic projects or professional experience)
• Mandatory experience or training in Selenium with Python
• Ability to understand and test data-driven, logic-based, and AI-powered systems
• Strong analytical thinking and attention to detail
• Good verbal and written communication skills

Good to Have
• Basic understanding of AI/ML concepts (models, datasets, accuracy, precision, recall, etc.)
• Exposure to testing AI/ML applications, chatbots, NLP systems, LLMs, or recommendation engines
• Familiarity with PyTest or other Python-based automation frameworks
• Knowledge of test data preparation, validation, and labelling
• Familiarity with Agile/Scrum methodology
• Awareness of AI ethics, bias, and responsible AI principles

Education
Bachelor’s degree in Computer Science, IT, Engineering, Data Science, or a related field

ERP Consulatant

ERP Consulatant
Experience: 7+ Years
Key Responsibilities
Implementation & Configuration: Managing the entire implementation lifecycle, including installing, customizing, and configuring ERP software to meet specific business workflows.
Business Analysis: Assessing current business processes, identifying gaps, and recommending improvements to enhance efficiency.
Data Migration & Integration: Overseeing the secure transfer of data from legacy systems and integrating the ERP with third-party applications.
Project Management: Overseeing project timelines, budgets, and resources to ensure successful, timely, and on-budget delivery.
Training & Support: Conducting user training, creating documentation, and providing post-implementation support to resolve issues and optimize performance
Qualifications & Skills
Bachelor's degree in Computer Science, Information Systems, Business, or related fields.
Proven experience with specific ERP systems (e.g., SAP, Oracle, NetSuite, Microsoft Dynamics 365).
Strong analytical, problem-solving, and communication skills to translate business needs into technical solutions.
Knowledge of SQL, database management, and business processes (finance, supply chain).

ERP Consultant – Business Analyst

ERP Consultant – Business Analyst

Responsible for analysing customer business processes, designing ERP workflows and functional specifications across multiple domains (manufacturing, trading, retail, logistics, Mining), and supporting ERP implementation by acting as the functional bridge between customers and development teams.

Key Responsibilities
Gather and analyse domain-specific business requirements from customers
Design end-to-end ERP workflows and process maps
Convert requirements into clear functional specifications for developers
Work closely with developers to clarify business logic during development
Support ERP implementation
Communicate solutions and changes clearly to all stakeholders.