Design scalable and robust PostgreSQL database architectures for enterprise-grade applications. Develop logical and physical data models aligned with business requirements. Create and maintain best practices for database design, coding, performance tuning, and security. Perform capacity planning, data partitioning, and replication strategies. Implement and manage high availability, disaster recovery, and backup strategies. Work closely with software developers, DevOps, and system architects to integrate database solutions with applications. Develop database deployment pipelines and automation scripts using tools such as Ansible, Terraform, or CI/CD. Conduct performance monitoring, query optimization, and troubleshooting for slow-running SQLs. Establish and enforce database access controls, user roles, and data protection protocols. Migrate legacy databases (e.g., Oracle, MySQL) to PostgreSQL when required. Provide mentorship to developers and DBAs on PostgreSQL usage and tuning Preferred candidate profile Proven experience with high-availability architecture (Patroni, Streaming Replication, etc.). Strong expertise in performance tuning, indexing strategies, and complex query analysis. Familiarity with JSONB, GIS data types, full-text search, and PostgreSQL extensions. Experience in Linux-based environments (preferably Ubuntu/CentOS/RHEL). Experience in designing databases for microservices and event-driven architectures. Knowledge of PostgreSQL monitoring tools (pgAdmin, pg_stat_statements, Prometheus, etc.). Hands-on experience with database automation and DevOps pipelines. Experience in database security, encryption, auditing, and compliance. Experience in cloud-native PostgreSQL deployments (e.g., AWS RDS/Aurora, GCP Cloud SQL, Azure Database for PostgreSQL). Certification in PostgreSQL or relevant database technologies. Experience with NoSQL integrations or hybrid data architectures.
Role & responsibilities Develop robust, secure, and scalable web applications using Django and Python. Design and implement RESTful APIs and integrate third-party APIs/services. Manage databases (PostgreSQL, MySQL) and ensure data integrity and security. Collaborate with front-end developers to ensure seamless integration with user-facing elements. Optimize applications for speed and scalability. Write unit tests and participate in code reviews to maintain high code quality. Maintain technical documentation and follow best practices in development and deployment. Troubleshoot, debug, and upgrade existing systems. Stay updated with emerging technologies and recommend improvements. Preferred candidate profile Bachelors degree in Computer Science, Engineering, or a related field. 4+ years of professional experience with Django and Python. Solid understanding of Django ORM and Django REST Framework (DRF). Experience with HTML, CSS, JavaScript, and templating engines like Jinja2. Familiarity with version control tools, especially Git. Working knowledge of relational databases and SQL. Experience with user authentication and authorization in Django. Understanding of MVC/MVT architecture. Strong problem-solving skills and attention to detail.
Role & responsibilities Develop and customize ERPNext modules, especially Accounts, Budgeting, Asset Management, and Cost Centers . Analyze user requirements and translate them into functional ERPNext solutions. Create custom scripts, print formats, and reports in ERPNext using Frappe Framework. Implement financial workflows such as: Chart of accounts setup Journal entries, invoices, and payments Tax configuration (VAT/GST) Bank reconciliation Budget planning and variance analysis Integrate ERPNext with third-party financial applications or APIs. Manage ERPNext upgrades and patches, ensuring financial data consistency. Troubleshoot financial transaction errors and provide solutions to users. Prepare documentation for system configuration and customizations. Train finance and accounting teams on ERPNext usage and best practices. Requirements: Proven experience with ERPNext and Frappe Framework . Strong background in accounting principles and financial workflows . Proficient in Python, JavaScript, Jinja, HTML/CSS. Experience in developing custom Doctypes , workflows, and reports. Good knowledge of SQL and database optimization techniques. Experience with version control tools like Git . Familiarity with ERPNext deployment and production environments. Good communication and problem-solving skills. Preferred candidate profile We are seeking an experienced ERPNext Developer with deep expertise in financial modules to design, develop, customize, and support ERPNext solutions for finance-related workflows. The ideal candidate should possess strong knowledge of accounting, budgeting, taxation, and financial reporting as implemented in ERPNext and be capable of working independently as well as part of a team.
Develop intelligent AI agents using LLaMA-based models with agentic behavior (memory, planning, reflection, tool use). Architect and implement modular agentic frameworks using open-source libraries (e.g., LangChain, AutoGen, OpenAgents).
Review requirements, specifications, and technical design documents to provide timely and meaningful feedback. Develop detailed, comprehensive, and well-structured test plans and test cases. Execute manual and automated tests to ensure the software
Design, develop, and deploy scalable and maintainable web applications using Django. Write clean, efficient, and reusable code following best practices. Create RESTful APIs using Django REST Framework (DRF).
We are seeking an experienced ERPNext Financial Functional Consultant to lead and manage the implementation, configuration, and optimization of ERPNext’s Finance module. The ideal candidate will have strong expertise in financial processes. Required Candidate profile Work with stakeholders to understand financial and accounting requirements. based solutions Chart of Accounts Accounts Payable (AP), Accounts Receivable (AR)
We are seeking an experienced Artificial Intelligence Architect with proven expertise in large-scale language models, specifically Metas LLaMA 3 . The ideal candidate will lead the design, development, and deployment of advanced AI systems, ensuring high performance, scalability, and integration within enterprise or government environments. This role requires a deep understanding of LLM architectures , distributed training , and AI system integration across diverse platforms. Role & responsibilities Key Responsibilities AI Architecture & Strategy Design and implement enterprise-scale AI architectures leveraging LLaMA 3 and other foundation models. Define end-to-end architecture for LLM-powered applications , including inference, fine-tuning, and deployment pipelines. Establish best practices for model governance, monitoring, and compliance . Model Development & Customization Lead the fine-tuning and instruction-alignment of LLaMA 3 for domain-specific use cases (e.g., finance, customs, healthcare, logistics). Optimize model performance through parameter-efficient fine-tuning (PEFT), quantization, pruning, and RLHF (Reinforcement Learning with Human Feedback) . Integrate vector databases, retrieval-augmented generation (RAG) , and multi-modal extensions. Infrastructure & Deployment Architect and oversee distributed training on GPU/TPU clusters. Deploy scalable inference systems with low-latency APIs, containerized environments, and orchestration tools (Kubernetes, Docker, Ray, etc.) . Implement AI DevOps (MLOps) practices for continuous integration and delivery of models. Cross-Functional Leadership Collaborate with data scientists, ML engineers, and software teams to align AI solutions with organizational goals. Mentor AI engineers in LLM fine-tuning, prompt engineering, and model evaluation . Communicate technical architecture to executives and non-technical stakeholders Preferred candidate profile Preferred Skills Experience with agentic AI systems and multi-agent orchestration . Contributions to open-source AI/LLM projects . Knowledge of blockchain-integrated AI systems (smart contracts, decentralized inference). Ability to design real-time AI copilots and autonomous decision-support systems .
Key Responsibilities Solution Design & Architecture Assess customer infrastructure and business needs to design HPE GreenLake solutions. Define hybrid cloud architectures across compute, storage, networking, and security. Provide capacity planning and performance optimization. Implementation & Deployment Lead installation, configuration, and integration of HPE GreenLake infrastructure. Manage migration of workloads and applications into the GreenLake environment. Ensure security, compliance, and scalability in deployments. Operations & Support Monitor and manage GreenLake platforms using HPE tools and dashboards. Troubleshoot issues across compute, storage, and networking layers. Provide proactive support, patching, and updates. Collaboration & Customer Engagement Work closely with customers, vendors, and internal teams to deliver end-to-end solutions. Provide technical expertise during presales and solutioning discussions. Conduct knowledge transfer and training sessions for client IT teams. Required Skills & Qualifications Bachelors degree in Computer Science, IT, or related field (or equivalent experience). 37 years of experience in enterprise IT infrastructure or cloud engineering. Strong hands-on experience with HPE GreenLake platform. Knowledge of servers (HPE ProLiant, Synergy), storage (Primera, Alletra, 3PAR, Nimble), networking (Aruba) . Understanding of hybrid cloud models (Azure, AWS, VMware, Kubernetes). Familiarity with automation tools (Ansible, Terraform) and monitoring solutions. Experience with ITIL processes and enterprise support environments. Strong troubleshooting and problem-solving skills. Preferred Certifications HPE ASE / Master ASE Hybrid IT Solutions Architect . HPE GreenLake Certified or equivalent training. VMware, Azure, or AWS cloud certifications. ITIL v4 Foundation. Soft Skills Strong communication and presentation skills. Ability to work independently and in cross-functional teams. Customer-oriented with a consultative approach. Strong documentation and reporting ability. nsibilities Preferred candidate profile
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