We are seeking a Business Analyst Trainee to join our dynamic team. This entry-level position is an excellent opportunity for fresh graduates or those with limited experience in the field. As a trainee, you will undergo extensive on-the-job training, working closely with senior business analysts and project teams to develop essential skills and knowledge in business analysis, project management, and process improvement. This role requires a commitment to a 1.5-year bond with the company, ensuring both career growth and professional development. Key Responsibilities: Requirements Gathering: Assist in gathering and documenting business requirements from stakeholders, ensuring that business needs are understood and accurately translated into functional specifications. Business Process Mapping: Help in analyzing and mapping business processes, identifying opportunities for process optimization. Data Analysis: Support data analysis tasks by organizing and analyzing business data to identify trends, insights, and potential areas for improvement. Stakeholder Communication: Assist in communication between business stakeholders and technical teams to ensure clear understanding and alignment of business requirements. Testing & Quality Assurance: Participate in testing and validating business solutions to ensure they meet business objectives and quality standards. Documentation: Maintain accurate documentation of business requirements, process flows, and test plans. Support Project Management: Help in tracking project progress, timelines, and deliverables, ensuring Role & responsibilities Preferred candidate profile Education: Bachelor's degree in Business Administration, Information Systems, Computer Science, or related field, completed in 2025 . Experience: No prior experience required, but internships or relevant academic projects are a plus. Analytical Skills: Strong problem-solving and analytical thinking. Communication: Excellent written and verbal communication skills. Team Player: Ability to collaborate effectively within a team. Attention to Detail: High attention to detail and organizational skills. Technical Skills: Proficiency in Microsoft Office Suite (Excel, PowerPoint, Word). Familiarity with data analysis tools is an advantage.
Job Descriptions: AI Agent Developer Roles Senior AI Agent Developer We are seeking a Senior AI Agent Developer with a strong technical background in AI, software engineering, and data analytics to build intelligent, autonomous multi-agent systems for real-world use cases. Key Responsibilities Research, design, and build custom LLM models tailored for specific business or domain-specific use cases. Perform data preprocessing, training, fine-tuning, and evaluation of LLMs using large-scale or proprietary datasets. Collaborate with data scientists and ML engineers to identify optimal architecture and training strategies. Optimize model performance and scalability for production deployment. Stay updated on state-of-the-art techniques in LLMs and generative AI. Design, develop, and deploy Build and maintain MLOps pipelines for continuous training, deployment, and monitoring. Ensure agents meet high standards of performance, security, and compliance. Collaborate with cross-functional teams in engineering, design, and product. Apply advanced prompt engineering techniques to optimize agent behavior and output. Requirements 5+ years in software engineering, data science, or machine learning. Proficiency in Python and familiarity with LLMs, Prompt engineering. Experience working with MCP client-server architecture for secure communication and integration. Knowledge of multi-agent frameworks (e.g., AutoGen, LangChain). Strong debugging skills and understanding of data security principles. Experience with MLOps, containerization, infrastructure-as-code, and monitoring. Preferred Skills Experience with vector databases (eg.Pinecone, Weaviate), speech/text processing, and automation workflows. Familiarity with tools such as TensorFlow, PyTorch, and Hugging Face. Knowledge of NLP, RAG, and Knowledge Graphs. Background in customer service automation or predictive analytics. Bachelors degree in statistics, CS, or related field. Certifications in AI are a plus. Objectives Innovate using statistical models and ML techniques to solve real-world problems Drive impact through AI-powered automation, optimization, and insight delivery. Enhance business processes by integrating actionable data strategies and analytics.
Role Overview: We are seeking a highly skilled and experienced Senior SailPoint Developer to join our Identity and Access Governance (IAG) team. The ideal candidate will have deep expertise in SailPoint IdentityIQ (IIQ) custom development, a strong understanding of out-of-the-box connectors, as well as custom connectors, and a solid grasp of production support challenges associated with SailPoint implementations. Key Responsibilities: Participate and contribute to design sessions. Develop custom SailPoint IIQ solutions that are scalable, secure, and maintainable across platforms. Leverage and configure SailPoint out-of-the-box connectors for integration with various systems. Write clean, maintainable, and well-documented code that adheres to functional and technical specifications. Ensure all development aligns with technical standards and best practices. Conduct code reviews and quality assurance checks to ensure high-quality deliverables. Collaborate closely with Systems Analysts and other stakeholders to understand requirements and translate them into technical solutions. Prepare technical specifications and documentation for developed components. Perform unit and system testing to validate functionality and performance. Provide production support and proactively identify and resolve potential issues. Mentor and assist junior developers and peers. Contribute to the establishment and evolution of best practice standards within the IAG team. Ensure compliance with audit, security, and access control requirements. Deliver work within agreed timelines and project schedules. Required Skills & Experience: 5+ years of hands-on experience with SailPoint IdentityIQ development and implementation. Strong proficiency in Java, Beanshell, SQL and XML. Experience with custom rule development, workflow design, provisioning, and lifecycle events in SailPoint. Familiarity with SailPoint out-of-the-box connectors (e.g., Active Directory, Workday, etc.). Solid understanding of IAM concepts, RBAC, access reviews, and compliance requirements. Proven experience in production support and troubleshooting SailPoint-related issues. Ability to write technical documentation and specifications. Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Preferred Qualifications: Practical SailPoint Development and Implementation experience and preferably certified on Sailpoint IIQ/Advanced Sailpoint Implementation Training. Experience with Agile methodologies. Exposure to best Access Management and DevOps practices.
Role & responsibilities 1. Django Python framework.Strong in Python with any two frameworks(Django, Flask, Fast API). Microservices Design Patterns Oops Concepts 2. PostgreSQL database 3. Programming experience in automating infrastructure based on OEM like Cisco , Juniper, HP etc. 4. Understanding of TCP/IP & Networking concepts 5. Experience in Yang modelling 6. Experience with monitoring, alerting systems, and NMS systems. 7. Experience with any ITSM (Like Remedy, ServiceNow , any) Note: we are looking for candidate with 3-6 Year of exp- with Python, Django. Good to have exp in Telecom/network domain. ( oss ,bss ,sdn, network automation) Preferred candidate profile Should have relevent qualification. Immediate joiners are preferred
About the Role We are looking for a skilled Backend Developer with hands-on experience in building scalable, data-driven applications. The ideal candidate should have a strong foundation in Python, FastAPI, and ORMs (like SQLAlchemy), with the ability to handle large datasets, design efficient APIs, and integrate real-time streaming and asynchronous task processing using tools such as Redis, Celery, and message brokers (Kafka/RabbitMQ). You will collaborate closely with the data engineering and frontend teams to design, build, and optimize APIs and services for real-time data visualization, analytics, and monitoring. Key Responsibilities Design, develop, and maintain scalable backend services using FastAPI and Python. Handle and process large volumes of structured and unstructured data efficiently. Build real-time data pipelines and streaming APIs for live dashboards and analytics. Integrate message brokers such as Kafka, RabbitMQ, or Redis Streams for event-driven architectures. Develop asynchronous background tasks and schedulers using Celery. Design and optimize database schemas using SQLAlchemy with PostgreSQL or MySQL. Implement caching, data persistence, and pub/sub mechanisms using Redis. Collaborate with frontend teams to expose clean, well-documented APIs for visualization dashboards. Ensure high performance, scalability, and fault tolerance of backend systems. Implement monitoring, logging, and performance profiling in production environments. Required Skills Strong proficiency in Python and experience with FastAPI (or similar frameworks like Flask, Django REST). Proficiency with ORMs especially SQLAlchemy and strong understanding of relational databases. Experience with Redis for caching, queuing, or pub/sub systems. Hands-on experience with Celery for distributed or asynchronous task execution. Familiarity with message brokers like Kafka, RabbitMQ, or Redis Streams. Experience building real-time or live data streaming APIs using WebSockets or erver-Sent Events (SSE). Strong grasp of data modeling, semantic layers (e.g., DBT, Dremio), and RESTful API design. Experience handling and visualizing large datasets efficiently. Understanding of containerization (Docker) and modern deployment practices (CI/CD, microservices). Nice to Have Experience with ClickHouse, TimescaleDB, or Elasticsearch for time-series or analytical workloads. Familiarity with frontend visualization tools such as Grafana, Apache Superset, or Plotly Dash. Experience integrating monitoring or metrics systems (e.g., Prometheus, Loki, OpenTelemetry). Exposure to CI/CD pipelines and microservice architectures. Knowledge of semantic modeling frameworks (like Cube.js, AtScale). Basic familiarity with data science workflows or ML model integration in production APIs.
Role: Service Delivery Manager (Application) Location: India Noida (Flexible for short business travel to Joburg) Job Description: Excellent communication skill English 5+ Years of relevant experience in Application projects (Implementation, development, and support), good experience as Project Manager / Service delivery manager. Good experience in Project, Vendor, and people management. Timesheet management for internal / External Project Resources, Billing Strong understanding of development methodologies, project activities etc. Understanding of Cloud solutions Responsible for Application Support Service Delivery to our customers thus ensuring high availability of application services to the customers as per SLAs. Management and Reporitng of SLA and OLA Depending on the size of the account, identifies opportunities for new business and account growth. Team Management: Lead and motivate cross-functional teams to achieve project objectives, Assign tasks and responsibilities to team members based on their skills and expertise. Provide guidance and support to team members throughout the project lifecycle. Monitor project progress and ensure adherence to timelines and milestones, Identify, and mitigate risks to project delivery. ITIL and PMP / Similar certification