Role & responsibilities . Deep knowledge of Salesforce setup and configuration (Sales & Service Cloud, CPQ, Experience Cloud, API,) Familiarity with data management tools Strong analytical and problem-solving skills Understanding of Salesforce best practices, capabilities and limitations Salesforce Certified Administrator Maintaining and optimizing the Salesforce platform. Preferred candidate profile Bachelors degree in IT. Should have in-depth expertise in Salesforce programming Should have a minimum of 5 years of professional experience as a Senior Salesforce Developer and Administrator Ensuring IT meets the evolving needs of the organization Ability to collaborate with various departments to translate business requirements into effective Salesforce solutions. The ideal candidate will possess strong technical expertise, problem-solving skills. Having good communication skills and the ability to develop and implement complex technical solutions in a team Having very good knowledge of written and spoken English, as an international company, internal communication is also in English
Role & responsibilities Manage Account Receivables related tasks related a US company Invoicing, Crediting & Collections Bookkeeping in ERP related to financial transactions Bank transaction entries & management Credit card transaction management Preferred candidate profile 5-8 years experience with an IT/ITeS company Sound knowledge of Accounting & Bookkeeping Strong experience with A/R, invoicing and collections management Basic understanding of US GAAP Financial transaction management Good written and verbal English communication to deal with US stakeholders. B.Com, CA Ready to work in 2nd shift (2:30 pm to 11 pm)
Role & responsibilities The Cloud Database Engineer is responsible for ensuring the scalability, performance and reliability of cloud-based database solutions. This role focuses on leveraging automation and modern practices to optimize database operations and support the development of new services and features. Develop database-centric automation, utilizing infrastructure as Code (IAC), CI/CD processes, and robust scripting that will be consumed by the entire engineering organization, Review database and infrastructure components for automation opportunities, and work with teams to plan and schedule improvements, Collaborate with Engineering and DevOps teams as an SME, promoting cloud database best practices, Contribute to larger scope architectural discussions to identity preferred solutions for our unified cloud platform. This will involve timely decision-making, project estimation and extensive analysis, Support legacy technologies and be a driving force to migrate them to new cloud-native solutions, Improve existing incident response processes and introduce new alerting and monitoring to remediate production issues efficiently, Participate in an on-call SME rotation to support production databases and essential infrastructure Preferred candidate profile 10+ years supporting database solutions, 5+ years specifically focused on cloud database support and automation Experience with AWS, Google Cloud or Azure cloud platforms Experience with a variety of cloud-native database/storage solutions, such as AWS Aurora, DynamoDB, DocumentDB, PostgreSQL, Elasticache, and S3, Experience with Data Lake/Data Warehouse best practices, implementation, and compliance requirements, Automation experience using scripting tools like Python and Bash, in addition to standardized template approaches like Terraform and CloudFormation, Experience with planning, implementing, and supporting highly scalable cloud database solutions, Knowledge of database security and compliance best practices. Comfortable with a DevOps mindset, i.e. database solutions should be implemented with a focus on source control, automation, and disaster recovery Bachelors Degree or equivalent
Key Requirements: Design, develop, and deploy LLM-powered AI assistants utilizing OpenAI, Llama, Gemini, or custom fine-tuned models to enhance conversational AI capabilities. Implement Retrieval-Augmented Generation (RAG) to seamlessly integrate enterprise knowledge into GPT-based responses, ensuring accuracy and contextual relevance. Collaborate with architects to optimize scalable APIs, vector databases, and cloud-native architectures, ensuring efficient AI model deployment and integration. Develop robust AI pipelines using LangChain, Hugging Face, and OpenAI SDKs to streamline AI workflows and enhance model performance. Deploy AI-driven applications on Google Cloud Platform (GCP), leveraging Vertex AI, BigQuery ML, Cloud Functions, Kubernetes, and Docker for scalability and reliability. Ensure high code quality, security, and performance by implementing best practices in DevOps and MLOps, maintaining efficiency across AI development lifecycles. Implement and maintain robust CI/CD pipelines to ensure efficient and reliable software delivery (e.g. automated build, test, and deployment processes) WHO ARE WE LOOKING FOR: Experience: Minimum 4 + years in AI development, with at least 2+ year of hands-on experience in Generative AI for Natural Language Processing (NLP) or Computer Vision. Technical Expertise: Strong proficiency in LangChain, Hugging Face, Transformers, or Generative AI frameworks to build and optimize AI models. Programming Skills: Expertise in Python (mandatory), with optional experience in Node.js or C++. Cloud Proficiency: Hands-on experience with Google Cloud Platform (GCP) (preferred) or other cloud platforms like AWS or Azure. Database & API Experience: Strong knowledge of REST APIs, SQL/NoSQL databases, and vector databases for scalable AI applications. DevOps & MLOps: Practical experience in CI/CD, DevOps, and microservices architectures, including tools like Docker, Kubernetes, GitHub Actions, and Jenkins.
Role & responsibilities A chance to make the difference. The Software Engineer 4 is responsible for developing and maintaining the iOS and Android mobile applications. They will design and implement projects of significant scope and collaborate with cross-functional teams to create solutions that delight our customers. Bachelors degree in computer science, Mathematics or similar field. Independently design and implement projects of significant scope. Determine root cause for complex software issues and develop efficient, maintainable solutions. Use fundamental skills to solve complex problems outside your immediate area of expertise. Remain current on new technologies and available vendor packages; evaluate and make recommendations as necessary. Help the Bluebeam engineering team continuously improve by bringing ideas to the table, sharing different perspectives, and thinking creatively about solutions Mentor and supervise the work of less senior developers. Collaborate with other specialists, including engineers, product managers, and designers, to rapidly iterate on product requirements and UX/UI designs, evaluate scope, understand and communicate trade-offs. Ramp up quickly on new complex problems and code bases to the point of significant project contribution. Participate in engineering on-call rotation for the iOS and/or Android apps. WHO ARE WE LOOKING FOR: 7+ years of professional software development experience. 4+ years of experience in mobile app development. 1+ years of native iOS development experience in Swift. 1+ years of native Android development experience in Kotlin. Experience working in a fully automated CI/CD environment. Experience with automated end to end testing for mobile. Experience leading development efforts for projects of major scope, broken down into manageable milestones. A track record of partnering with business and technology team members, to understand requirements and translate them into value-add technology solutions. Passion for learning new technologies and expanding capabilities. Empathy with customers and ability to create a delightful user experience. A positive mindset, team-oriented, results driven, and organized.