Evnek Technologies Pvt Ltd

Role Description We are looking for an experienced and dynamic Salesforce Health Cloud Lead to drive the design, development, and delivery of innovative Salesforce solutions within the healthcare and life sciences domain. This role requires strong technical leadership, hands-on Salesforce development expertise, and the ability to mentor teams while delivering scalable and high-quality enterprise solutions. - Design, develop, and implement Salesforce solutions including Apex classes, triggers, Lightning components, and Visualforce pages. - Lead the implementation of Salesforce Health Cloud capabilities such as patient profiles, care plans, provider networks, and healthcare interoperability integrations. - Build and enhance applications using Lightning Web Components (LWC), Lightning Pages, and Visualforce. - Participate in release planning, deployments, production support, and post-deployment activities. - Perform unit testing, debugging, troubleshooting, and system optimization to ensure high-quality code delivery. - Create and maintain technical documentation while enforcing coding standards and data integrity practices. - Collaborate with Salesforce Administrators and business teams for system enhancements and operational support. - Provide technical leadership, mentoring, and guidance to development teams in agile delivery environments. - Support team capability development through cross-training and knowledge-sharing initiatives. - Stay updated with Salesforce platform advancements and recommend innovative solutions for adoption. - Engage with stakeholders to define technology roadmaps, solution architecture, and long-term platform strategy. - Translate business requirements into scalable technical designs and proof-of-concepts. - Contribute to estimation, solution demonstrations, and proposal development activities. - Ensure compliance with healthcare regulations, security standards, and data protection policies. Qualifications - 8+ years of hands-on experience in Salesforce Development. - Strong expertise in Salesforce Health Cloud implementations. - Proficiency in Apex, Visualforce, Lightning Components, and Lightning Web Components (LWC). - Experience designing scalable Salesforce architectures and enterprise-grade solutions. - Proven experience leading and mentoring technical teams in agile environments. - Strong understanding of Salesforce design patterns, best practices, and integration strategies. - Experience with release management, deployments, testing strategies, and debugging. - Excellent communication, stakeholder management, and problem-solving skills. - Ability to translate complex business requirements into effective technical solutions. - Strong focus on innovation, ownership, and continuous improvement. Preferred Qualifications - Experience in healthcare or life sciences domain projects. - Salesforce certifications related to Health Cloud or Platform Development are a plus. - Familiarity with healthcare interoperability standards and compliance requirements is preferred.

Role Description We are looking for a highly driven and hands-on AI Full Stack Engineer who thrives in fast-paced environments and can rapidly build, iterate, and deploy AI-powered products. The ideal candidate should have a strong builder mindset, excellent problem-solving skills, and the ability to convert ideas into production-ready solutions quickly. You will work closely with cross-functional teams to develop scalable AI applications, integrate APIs and third-party platforms, and ensure product delivery aligns with business goals. Key Responsibilities - Design, develop, and deploy AI-powered applications using Google Cloud Vertex AI and Python. - Rapidly prototype and iterate solutions using modern AI-assisted development workflows (“vibe coding” approach). - Build and manage scalable REST APIs and full-stack integrations. - Integrate third-party services such as Stripe, OAuth, and external APIs. - Collaborate with product and business teams to align technical solutions with product objectives. - Take complete ownership of features from development to production deployment. - Optimize application performance, scalability, and reliability. - Troubleshoot and resolve technical issues in a fast-moving development environment. Qualifications - Strong engineering experience with Google Cloud Vertex AI. - Proficiency in Python and modern backend development practices. - Hands-on experience with full-stack development and API integrations. - Expertise in REST APIs, Stripe integration, and OAuth authentication. - Strong understanding of rapid prototyping and AI-assisted development workflows. - Solid product management awareness with the ability to translate business requirements into technical solutions. - Proven ability to independently ship production-ready applications quickly. - Excellent communication and collaboration skills. Preferred Qualifications - Experience working with AI/LLM-based applications and cloud-native architectures. - Familiarity with modern frontend frameworks and deployment pipelines. - Prior experience in startup or fast-paced product environments is a plus. Requirements - Candidates must be available for the specified shift timings. - Compensation will be calculated based on working hours. - Strong communication skills are mandatory.

Role Description We are looking for a passionate and motivated AI Intern to join our team. This internship offers hands-on experience in Artificial Intelligence and Machine Learning, providing exposure to real-world projects and industry practices. Key Responsibilities - Assist in developing and testing AI/ML models - Work with data collection, cleaning, and preprocessing - Support implementation of algorithms related to machine learning, NLP, or computer vision - Collaborate with the development team on AI-driven solutions - Document findings, models, and project outcomes - Stay updated with the latest AI and ML trends Qualifications - Currently pursuing or recently completed a degree in Computer Science, AI, Data Science, or related fields - Knowledge of NLP, Deep Learning, or Computer Vision is an added advantage - Strong willingness to learn and adapt Requirements - Basic understanding of Artificial Intelligence and Machine Learning concepts - Programming knowledge in Python - Familiarity with libraries such as NumPy, Pandas, Scikit-learn (TensorFlow/PyTorch is a plus) - Basic knowledge of data structures and algorithms - Good analytical and problem-solving skills

Role Description We are looking for a Data Engineer with strong experience in SQL Server, Azure, Databricks, and Data Migration to build scalable data solutions and support enterprise data platforms. Key Responsibilities - Design and develop solutions for migrating data from SQL Server to Databricks - Work with Databricks, Apache Spark, ADF, DBT Cloud, and Delta Lake - Manage Data Lake, Unity Catalog, and Lakehouse architecture - Build and optimize data marts and data warehouse solutions - Write advanced SQL queries, stored procedures, triggers, and views - Perform query optimization and database performance tuning - Support rapid prototyping, POCs, and enterprise architecture improvements - Collaborate with teams on release planning and technical requirements - Ensure compliance with security policies and best practices Qualifications - Strong hands-on experience in MS SQL Server and Azure SQL - Expertise in Databricks, SQL, ADF, Delta Lake, and Unity Catalog - Experience with Data Lake and Data Migration projects - Strong knowledge of data warehousing (Star / Snowflake Schema) - Experience in query optimization and performance tuning - Understanding of REST APIs, JSON, and version control systems - Good communication and problem-solving skills Requirements - Experience with Apache Spark, Airflow, and Lakehouse architecture (Good to Have) - Exposure to unit testing and branching/merging strategies (Good to Have)

Role Description We are looking for a highly experienced Salesforce Admin/Developer with strong expertise in Sales Cloud to support the design, development, and implementation of scalable Salesforce solutions. In this role, you will work closely with the Solution Architect to deliver secure, high-performing configurations and customizations. The ideal candidate will have strong hands-on experience across administration, development, integrations, and automation, ensuring seamless execution of business processes. Key Responsibilities - Implement Salesforce solutions aligned with architecture and design guidelines - Configure and manage Sales Cloud features including Leads, Accounts, Opportunities, and Territory Management - Design and build Flows (Record-Triggered, Scheduled, Screen Flows) for business process automation - Develop custom solutions using Apex, Triggers, and Lightning Web Components (LWC) - Configure Salesforce security model — OWD, roles, sharing rules, permission sets, and field-level security - Build and support integrations with external systems (e.g., NetSuite) using REST APIs, Named Credentials, and OAuth - Configure and support DocuSign AppExchange integration (templates, envelopes, workflows) - Create and maintain custom objects, fields, validation rules, page layouts, and Lightning pages - Ensure adherence to governor limits and implement bulk-safe coding practices - Support data migration activities — data import, cleansing, deduplication, and validation - Participate in Agile ceremonies (sprint planning, stand-ups, demos) - Provide UAT support including defect resolution and deployment readiness - Maintain technical documentation for configurations and releases - Collaborate with stakeholders to translate business requirements into scalable Salesforce solutions Qualifications - 8+ years of Salesforce experience (Admin and Developer roles) - Strong hands-on experience in Salesforce Sales Cloud implementations - Expertise in Salesforce Flow and decision-making between Flow vs Apex - Proficiency in Apex, Triggers, and Lightning Web Components (LWC) - Strong understanding of Salesforce security model (OWD, roles, sharing rules, permission sets) - Experience with Salesforce integrations: - REST APIs - Named Credentials - Connected Apps - OAuth 2.0 - Hands-on experience with DocuSign for Salesforce or similar e-signature tools - Exposure to ERP integrations such as NetSuite - Knowledge of Salesforce governor limits and performance optimization - Experience with data migration tools like Data Loader and data quality best practices - Familiarity with Agile/Scrum methodologies - Strong communication and stakeholder management skills Good-to-Have Skills - Salesforce Certifications: - Salesforce Administrator - Platform Developer I / II - Experience with Salesforce Maps or field sales tools - Exposure to mobile-first Salesforce implementations - Domain experience in FMCG, distribution, or field sales - Basic understanding of DevOps tools such as Copado, Gearset, or CI/CD pipelines

Role Description We are looking for a seasoned Salesforce Solution Architect to lead the end-to-end technical design and delivery oversight for a Salesforce Sales Cloud implementation. This is a critical leadership role, where the Architect defines the entire Phase 1 blueprint, drives key technical decisions, and ensures the solution is scalable, secure, and delivered on time. You will own the integration design with external systems like NetSuite and DocuSign, and act as the final technical authority before go-live. - Own the end-to-end solution architecture, including data model, security model, automation design, and integration patterns. - Define and govern Salesforce security model — OWD, sharing rules, role hierarchy, and permission sets. - Make key technical decisions (TDD) — Flow vs Apex, custom vs standard objects, managed vs unmanaged packages. - Lead NetSuite integration design, including REST API feasibility and territory cache strategy for Phase 1. - Oversee DocuSign AppExchange integration — package setup, template design, and callback workflows. - Review and approve all configurations and customizations (Flows, objects, page layouts, data model). - Identify and mitigate Salesforce governor limit risks, especially for bulk operations and API integrations. - Define and lead data migration strategy — source analysis, field mapping, cleansing, and execution. - Conduct sprint demos, technical walkthroughs, and stakeholder reviews. - Participate in UAT — review defects, guide prioritization, and approve production readiness. - Create and maintain System Configuration Workbook and Admin handover documentation. - Provide technical leadership, mentorship, and direction to Developers and Admins. Qualifications - 12–15 years of overall Salesforce experience, with at least 5+ years as a Solution Architect / Technical Lead. - Salesforce Certified Technical Architect (CTA) (mandatory). - Certified Salesforce Application Architect and/or System Architect (preferred). - Deep expertise in Salesforce Sales Cloud: - Lead Management - Opportunity Pipeline - Account Lifecycle - Territory Management - Expert-level understanding of Salesforce security model (OWD, roles, sharing rules, permission sets, FLS). - Strong hands-on experience with Salesforce Flow (complex multi-step automation without Apex). - Extensive experience with Salesforce integrations: - REST APIs - Named Credentials - Connected Apps - OAuth 2.0 - Platform Events - Hands-on experience with DocuSign for Salesforce (AppExchange). - Experience designing ERP integrations such as NetSuite (data sync patterns, error handling). - Strong knowledge of Salesforce governor limits and bulk-safe design practices. - Proven experience leading data migration activities (Data Loader, deduplication, validation). - Strong track record of delivering Salesforce projects within tight timelines and Agile environments. - Excellent communication skills with the ability to explain complex architecture to non-technical stakeholders. Requirements - Immediate Joiners Only. Benefits - Remote position. - Timing: 5:30 PM to 2:30 AM IST.

Role Description We are seeking a Senior Backend Engineer with strong expertise in Python and FastAPI to design and scale a high-performance document-processing backend. The system will handle large, complex PDFs and support AI-driven classification workflows. Key Responsibilities - Design and develop backend services to reliably process large PDF documents (200+ pages) - Implement AI-driven document classification using taxonomy-based models with confidence scoring - Build and maintain document taxonomies for classification, grouping, and validation logic - Enable multi-page document assembly using taxonomy rules and page-level signals - Develop robust exception handling mechanisms (fallback flows, “needs review” pipelines) - Implement audit trails and data lineage, including taxonomy versioning and classification rationale - Optimize system performance to ensure scalability and cost-efficient AI inference - Support loan processing workflows by classifying and validating borrower documents (KYC, income proofs, bank statements, agreements, etc.) Qualifications - 4+ years of hands-on experience in Python development - Strong expertise in FastAPI for backend services - Experience with PDF processing libraries such as PyPDF2, pdf2image, or similar - Hands-on experience integrating LLM APIs (preferably GPT-4 Vision or similar) - Experience working with Google Cloud Platform (GCP): Cloud Storage, Firestore, Cloud Tasks - Strong understanding of asynchronous job processing (queues, workers, retry logic) - Error handling and fault tolerance - Data lineage and audit systems - Experience in document taxonomies / classification schemas - OCR or document processing systems - AI-driven workflows and structured labeling systems Preferred Qualifications - Background in financial services or compliance-driven environments - Experience with taxonomy versioning - Confidence thresholds - Rules-based validation systems

This is a remote position. Job Title: Senior C++ Windows Systems Developer Location: Remote Experience: 5+ Years (C++ Development on Windows) Notice Period: Immediate Joiner About the Role We are building a high-performance Windows desktop application that enables seamless synchronization of customer files between the cloud and Windows File Explorer. This role involves developing a robust C++/CLI interop layer bridging native C++ and .NET 8.0, along with deep integration into the Windows ecosystem using the Cloud Filter API (cfapi.h). The solution is designed for Windows 10+, built using Visual Studio 2022 and Windows SDK 10.0, with a strong focus on scalability, performance, and production-grade reliability. Key Responsibilities - Design and develop core components of a cloud file sync engine for Windows - Build and maintain C++/CLI interop layers between native C++ and .NET applications - Implement deep integration with Windows File Explorer using Cloud Filter API - Develop and manage file system event callbacks and sync workflows - Ensure high performance, stability, and maintainability of the application - Work on multi-threaded and asynchronous architectures - Debug and troubleshoot across managed and unmanaged code boundaries - Collaborate with cross-functional teams to deliver production-ready solutions Must-Have Qualifications Cloud Sync Engine Development - Hands-on experience with Windows Cloud Filter API (cfapi.h) or similar OS-level sync technologies - Strong understanding of: - Sync root registration - Placeholder file states - On-demand hydration patterns - Experience implementing native callback handlers for file system events Modern C++ Expertise (C++20) - 5+ years of professional experience in native C++ development on Windows - Strong knowledge of modern C++ features: - std::variant, std::optional, std::string_view - Lambdas, std::function, and functional programming patterns - Template metaprogramming and variadic templates - Deep understanding of: - Memory management - Pointer safety - RAII principles C++/CLI Interop - Experience building mixed-mode C++/CLI assemblies targeting .NET Core / .NET 8.0 - Expertise in designing ref class wrappers for native-to-managed interaction - Understanding of managed/unmanaged boundaries within a single project - Experience with string marshaling (std::wstring ↔ System::String^) Windows Systems Programming - Strong knowledge of: - Win32 API - Windows Shell APIs - File System APIs - Experience with multi-threading, including: - Thread pools and task scheduling - Synchronization primitives (std::mutex, std::shared_mutex, etc.) - Async and callback-based architectures - Familiarity with Windows SDK 10.0 and Windows 10+ development COM Programming - Experience implementing COM components: - IUnknown, reference counting, class factories - Knowledge of: - DLL exports (DllGetClassObject, DllRegisterServer, etc.) - Registry-based COM registration Build Systems & Tooling - Proficiency in Visual Studio 2022 for mixed C++/C# solutions - Experience with MSBuild and .vcxproj configurations - Ability to debug across managed and unmanaged environments Nice-to-Have Qualifications Windows Shell Extensions - Experience with: - Context menu handlers (IContextMenu, IShellExtInit) - Icon overlays and property handlers - Understanding of Windows Explorer integration patterns .NET Desktop Development - Experience with .NET 8.0 WPF applications - Familiarity with MVVM architecture and data binding - Ability to contribute to C# codebase Database & Serialization - Experience with SQLite (C API) - Familiarity with nlohmann/json or similar libraries Installer & Deployment - Experience with: - NSIS installer scripting - WiX Toolset v4 for MSI packaging - Knowledge of enterprise deployment best practices CI/CD & Testing - Experience with GitHub Actions for Windows builds - Familiarity with: - Unit testing - Integration testing - End-to-End testing Security & Authentication - Experience with Windows Credential Manager - Understanding of OAuth 2.0 flows in desktop applications - Knowledge of Windows security and file system permissions Logging & Observability - Familiarity with structured logging (ECS/Elastic Common Schema) - Experience with centralized logging tools (e.g., Elasticsearch) Bonus Points - Experience building cloud sync clients (e.g., OneDrive, Dropbox, Google Drive) - Knowledge of chunked/resumable file upload & download mechanisms

Job Title: GCP Integration Engineer Experience: 6+ Years Location: Remote Timings: 5:30 PM – 2:30 AM IST Notice Period: Immediate Joiners Only About the Role We are looking for a highly skilled Integration Engineer with strong backend expertise to design and implement a custom bi-directional middleware solution on Google Cloud Platform (GCP). The ideal candidate will play a critical role in integrating GoHighLevel (GHL) with a proprietary Loan Origination System (LOS), ensuring seamless data synchronization, transformation, and communication between systems. Key Responsibilities - Design, develop, and deploy custom middleware solutions on GCP. - Build bi-directional integrations between GoHighLevel (GHL) and the Loan Origination System (LOS). - Ingest and process inbound loan data, transforming complex nested structures (e.g., multiple borrowers, policies) into a flattened single-contact model for GHL. - Develop outbound workflows to push communication data (emails, SMS, tasks, call summaries, recordings) from GHL back to LOS. - Implement robust REST APIs and webhook handlers for real-time data exchange. - Ensure data integrity and reliability through retry mechanisms and idempotent event handling. - Package, configure, and publish the integration as an application in the GoHighLevel Marketplace. - Collaborate with cross-functional teams to troubleshoot and optimize integration performance. Required Skills & Qualifications - 6+ years of experience in backend development and system integrations. - Strong hands-on experience with Google Cloud Platform (GCP). - Expertise in designing and consuming RESTful APIs and handling webhooks. - Deep understanding of data transformation, JSON parsing, and mapping complex data relationships (many-to-one). - Proven experience with GoHighLevel (GHL) APIs, custom fields, and Marketplace app publishing. - Experience implementing fault-tolerant systems, including retry logic and idempotency. - Strong problem-solving skills and ability to work in a fast-paced, short-term engagement. Good to Have - Experience working with Loan Origination Systems (LOS) or fintech platforms. - Familiarity with event-driven architectures. - Knowledge of CI/CD pipelines and cloud deployment best practices

Job Title: Senior Backend Infrastructure Engineer Experience: 13+ Years Location: Remote Timing: (5:30 PM – 2:30 AM IST) Notice Period: Immediate Joiners Only Job Overview We are seeking a highly experienced Senior Backend Infrastructure Engineer to design, build, and optimize scalable, secure, and production-grade cloud-native applications. The ideal candidate will have deep expertise in multi-tenant SaaS architectures, strong hands-on experience with Python (FastAPI), and advanced knowledge of GCP services. This role requires ownership of architecture decisions, production readiness, and ensuring secure, scalable deployments in a high-availability environment. Key Responsibilities Architecture & Development - Design and develop scalable backend services using Python (FastAPI). - Architect and implement multi-tenant SaaS solutions with strict data isolation. - Build cloud-native applications leveraging Google Cloud Platform (GCP) services. Multi-Tenant Data Isolation - Implement robust Firestore query scoping to ensure complete data isolation between tenants. - Define and enforce Firestore security rules for secure access control. Cloud & Infrastructure - Deploy and manage applications using Cloud Run. - Configure and optimize IAM roles, permissions, and policies. - Work with Pub/Sub for event-driven architecture and messaging systems. - Manage storage and access using Google Cloud Storage (GCS). CI/CD & Automation - Design and implement CI/CD pipelines using GitHub Actions. - Automate testing, build, and deployment processes specifically for Cloud Run environments. Production Readiness & Optimization - Conduct production readiness reviews across: - Cloud Run configurations (scaling, concurrency, performance) - Security (IAM, secrets management) - Storage and access control (GCS permissions) - Ensure system reliability, scalability, and performance tuning. Collaboration & Leadership - Collaborate with cross-functional teams including DevOps, product, and frontend teams. - Provide technical leadership, mentorship, and best practices for cloud-native development. - Drive code quality, design reviews, and architectural governance. Required Skills & Qualifications - 13+ years of experience in software development and cloud architecture. - Strong hands-on expertise in Python, specifically FastAPI. - Deep experience with Google Cloud Platform (GCP), including: - Cloud Run - Firestore (including security rules and data modeling) - Pub/Sub - IAM - Proven experience building and scaling multi-tenant SaaS applications in production. - Strong understanding of microservices architecture and API design. - Experience with CI/CD tools, preferably GitHub Actions. - Expertise in cloud security, secrets management, and access control. - Strong problem-solving and system design skills. -