The Core Responsibilities For The Job Include The Following Test Automation Strategy and Framework Development: Design, develop, and maintain robust test automation frameworks using open source tools for web, API, and UI testing. Architect scalable and maintainable test solutions that support our diverse application landscape. Implement best practices for test automation, including code reusability, maintainability, and reporting. Continuously evaluate and recommend improvements to testing methodologies and frameworks. Stay current with emerging trends and technologies in test automation and quality assurance. Test Implementation And Execution Develop and execute comprehensive automated test suites across Salesforce, NetSuite, Microsoft 365 and custom applications. Design and implement end-to-end, integration, and system-level automated tests. Create data-driven test scenarios that thoroughly validate application functionality. Implement performance, load, and security testing using appropriate open-source tools. Analyze test results, identify patterns, and provide detailed defect reports with clear reproduction steps. CI/CD Integration And DevOps Collaboration Integrate automated tests into CI/CD pipelines to enable continuous testing and rapid feedback. Collaborate with DevOps engineers to optimize test execution in automated build and deployment processes. Implement test environment management strategies that support efficient test execution. Develop metrics and reporting to track test coverage, execution time, and quality trends. Contribute to release readiness assessments based on quality metrics and test results. Requirements Bachelor's degree in Computer Science, Engineering, or related field at least 4 years focused on test automation and 2+ years in Netsuite Applications. Expert-level proficiency with open source testing tools such as Selenium, Playwright, Cypress, RestAssured, or similar frameworks. Strong programming skills in at least one of Python, Java, JavaScript, or TypeScript. Extensive experience with API testing and web services testing tools. Experience testing Salesforce, NetSuite, or similar enterprise applications. Strong understanding of CI/CD pipelines and experience integrating automated tests with tools like Jenkins, GitLab CI, or Azure DevOps. Experience with version control systems (Git) and test management tools. Expertise in developing data-driven and keyword-driven test frameworks. Excellent analytical thinking, problem-solving, and debugging skills. Strong communication and collaboration abilities with both technical and non-technical stakeholders. Experience working in an Agile development environment. This job was posted by Shailendra Singh from PearlShell Softech. Show more Show less
Requirements 5+ years of experience in Linux Administration and troubleshooting. Certification (RHCE and AWS). Experience with AWS in an enterprise environment. Experience in Red Hat Satellite Server Administration. Experience with automation, including deployments and configuration management. OS and Hardware firmware upgrades. Must have experience in scripting such as Bash, Perl, Python, and Ansible. Installing and configuring of High Availability environment. Fine-tuning the system for optimal performance. Good Knowledge in Linux OS (Redhat, Oracle Linux, Cent OS, Ubuntu, OpenSuse, Debian) along with patching and Rollback. Good Knowledge of Web servers like Apache, Apache Tomcat, and NGINX. Good Knowledge of Firewalls (IPTables) and SELinux. Good Knowledge in installing and troubleshooting LDAP, DNS, DHCP, LVMs, and NFS. Good Knowledge of user administration, file systems, and Logs. Software package installation experience (deb, rpm, etc. ) Knowledgeable in Linux internals to debug and solve installation issues - environment, drivers, libraries, etc. Knowledge of databases like Oracle, MySQL, Postgres, etc. Set up and Configure Red Hat Satellite and Kickstart Servers for Red Hat Enterprise Linux 7/8/9 installs and RHN Push Updates. Good To Have Experience with Logic Monitor, Opsramp, Appd. Experience with Docker. Source code control (GitHub). Experience on AIX, Solaris. This job was posted by Shailendra Singh from PearlShell Softech.
Requirements Years of experience: 4 + years. Experience working with Bitbucket and other version control tools like Git, GitHub. Experience with agile development processes, continuous integration, and deployment. Highly skilled professional with strong experience and knowledge creating top-quality, predictable, and high-performance website applications, desiring the role of Java Developer. Should be responsible for customizations, extensions, configurations, and integrations. Will be working collaboratively with client and project teams, as well as working from proposal development to deployment and support teams. Primary Skills: Java, SpringBoot, Microservices(Mandate), React JS / Angular, JavaScript, HTML, CSS, Git, Webservices, and Hibernate. This job was posted by Shailendra Singh from PearlShell Softech.
We are looking for a skilled AWS Data Engineer to design, develop, and maintain scalable data pipelines and cloud-based data infrastructure on Amazon Web Services (AWS). The ideal candidate will work closely with data scientists, analysts, and software engineers to ensure high availability and performance of data solutions across the organization. Responsibilities Build/support applications using speech-to-text AWS services like Transcribe, Comprehend, along with Bedrock. Experience working with BI tools like QuickSight. Design, build, and manage scalable data pipelines using AWS services (e. g., Glue, Lambda, Step Functions, S3 EMR, Kinesis, Snowflake). Optimize data storage and retrieval for large-scale datasets in data lakes or data warehouses. Monitor, debug, and optimize the performance of data jobs and workflows. Ensure data quality, consistency, and security across environments. Collaborate with analytics, engineering, and business teams to understand data needs. Automate infrastructure deployment using IaC tools like CloudFormation or Terraform. Apply best practices for cloud cost optimization, data governance, and DevOps. Stay current with AWS services and recommend improvements to data architecture. Understanding machine learning pipelines and MLOps (nice to have). Requirements Bachelor's degree in computer science or a related field. 5+ years of experience as a Data Engineer, with at least 3 years focused on AWS. Strong experience with AWS services, including Transcribe, Bedrock, and QuickSight. Familiarity with Glue, S3 Snowflake, Lambda, Step Function, Kinesis, Athena, EC2/EMR, Power BI, or Tableau. Proficient in Python, PySpark, or Scala for data engineering tasks. Hands-on experience with SQL and data modeling. Familiarity with CI/CD pipelines and version control (e. g., Git, CodePipeline). Experience with orchestration tools (e. g., Airflow, Step Functions). Knowledge of data security, privacy, and compliance standards (GDPR, HIPAA, etc. ). Good To Have Skills AWS certifications (e. g., AWS Certified Data Analytics - Specialty, AWS Certified Solutions Architect). Experience with containerization (Docker, ECS, EKS). Experience working in Agile/Scrum environments. This job was posted by Shailendra Singh from PearlShell Softech.
We are looking for a passionate and skilled GenAI Developer to join our team focused on building intelligent, agentic AI solutions using Python. The ideal candidate will have hands-on experience in developing applications powered by Large Language Models (LLMs), Generative AI, and multi-agent orchestration frameworks. This role offers the opportunity to work on cutting-edge AI technologies in a collaborative and agile environment. Responsibilities Develop and deploy GenAI applications using Python and modern AI frameworks. Build and optimize RAG pipelines, integrate LLMs, and manage vector databases. Collaborate with cross-functional teams, including data scientists, DevOps, and product managers. Implement and maintain agentic AI workflows using orchestration tools. Ensure code quality, scalability, and performance of AI-driven applications. Stay updated with the latest advancements in GenAI and agentic systems. Requirements Strong programming skills in Python. Experience with LLM frameworks (e. g., LangChain, Hugging Face, OpenAI SDK). Familiarity with vector databases (e. g., FAISS, Pinecone, Weaviate). Understanding of RAG architecture, prompt engineering, and token optimization. Exposure to agentic AI frameworks and multi-agent orchestration. Experience with AWS, Databricks, PySpark, and SQL. Knowledge of Git, CI/CD pipelines, and Agile development practices. Preferred Qualifications Prior experience in building GenAI or NLP-based applications. Understanding of ethical AI principles and data privacy. Certifications in AI/ML or cloud platforms (AWS, Azure). Strong problem-solving and communication skills. This job was posted by Shailendra Singh from PearlShell Softech.
We are seeking a dynamic and technically strong Project Lead to spearhead the development of custom applications leveraging Generative AI and Agentic AI frameworks. This role requires deep expertise in Python-based AI development, hands-on experience with modern AI platforms, and the ability to lead cross-functional teams in delivering scalable, intelligent solutions. Responsibilities Lead the design and development of GenAI and Agentic AI-based applications using Python. Architect scalable and secure solutions integrating LLMs, vector databases, and orchestration frameworks. Collaborate with data scientists, ML engineers, and product teams to translate business needs into AI-driven solutions. Manage project timelines, resources, and deliverables across agile teams. Ensure adherence to best practices in AI development, MLOps, and cloud deployment. Stay updated with emerging trends in GenAI, multi-agent systems, and open-source AI tooling. Requirements Strong proficiency in Python and AI/ML libraries (e. g., LangChain, Hugging Face, OpenAI SDKs). Experience with Agentic AI frameworks and multi-agent orchestration. Hands-on experience with LLMs, RAG pipelines, vector databases (e. g., FAISS, Pinecone, Weaviate). Familiarity with Databricks, PySpark, and SQL for data engineering. Cloud experience with AWS and containerization tools (e. g., Docker, Kubernetes). Knowledge of CI/CD, Git, and DevOps best practices. Exposure to Scaled Agile environments. Preferred Qualifications Experience in building enterprise-grade GenAI applications. Understanding of ethical AI principles and data governance. Certifications in AI/ML or cloud platforms (AWS, Azure). Strong communication and stakeholder engagement skills. This job was posted by Shailendra Singh from PearlShell Softech.