Evnek

Security Engineer

• Lead SAP Security design, implementation, and support activities across SAP ECC, S/4 HANA, SAP Fiori, SAP BI/BOBJ, IBP, and GRC environments.
• Design, build, test, and maintain SAP security roles and authorizations.
• Perform user account management, troubleshooting, and security issue resolution across SAP systems.
• Implement SAP Security best practices aligned with SOX compliance and change management controls.
• Manage transport of SAP security roles and ensure proper testing prior to production deployment.
• Lead end-to-end SAP GRC implementations including Go-Live and Cutover activities.
• Configure and support SAP GRC Access Control (10.1 / 12.0) modules.
• Handle GRC User Access Reviews (UAR), Segregation of Duties (SoD) reviews, and audit support activities.

Senior SAP GRC, Security Consultant

AI Engineer

• Architect, build, and scale large-scale OCR-driven document intelligence systems
• Design and implement end-to-end pipelines for processing long-form, OCR-intensive documents
• Own PDF ingestion, layout-aware parsing, and multi-page document assembly
• Build robust chunking, segmentation, and metadata tracking systems
• Deploy and operate open-source LLMs using vLLM Hugging Face TGI GPU-backed serving stacks
• Implement schema enforcement, rule engines, invariants, and rejection logic
• Improve system monitoring and alerting across document pipelines

Senior AI Engineer, Document Intelligence – LLM Infrastructure

Backend Engineer

• Design and develop scalable backend services to reliably process large PDFs (200+ pages).
• Implement AI-based document classification workflows using defined taxonomies and confidence scoring models.
• Design, version, and maintain document taxonomies that drive classification, grouping, and validation logic.
• Support multi-page document assembly based on taxonomy-driven rules and page-level metadata.
• Integrate LLM APIs (preferably GPT-4 Vision) for document analysis and intelligent classification.
• Build robust asynchronous job workflows using background workers, queues, retry logic, and task orchestration.
• Implement strong exception handling mechanisms, including fallback paths and “needs review” workflows.
• Ensure comprehensive audit trails, data lineage tracking, and classification rationale logging.
• Optimize backend performance, system architecture, and AI inference usage to control infrastructure costs.
• Support loan processing workflows by classifying and validating borrower documents (KYC, income proofs, bank statements, agreements) using taxonomy-driven rules and confidence thresholds.

Senior Backend Engineer, Python, FastAPI

Data Engineer

• Design, develop, and maintain ETL pipelines using PySpark, Apache Airflow, and Azure Data Factory (ADF)
• Build and optimize distributed data processing jobs using PySpark
• Orchestrate and schedule workflows using Apache Airflow
• Develop and manage data ingestion and transformation pipelines in Azure Data Factory
• Write clean, efficient, and reusable code using Python
• Develop and optimize complex SQL queries for MySQL and PostgreSQL databases
• Work with MongoDB for handling semi-structured and unstructured data
• Perform data analysis using Pandas and NumPy to support business insights
• Create basic to intermediate data visualizations using Matplotlib, Power BI, and Streamlit
• Monitor data pipelines, troubleshoot issues, and ensure data quality and performance
• Collaborate with cross-functional teams including analysts, data scientists, and product teams

• Design, develop, enhance, document, and maintain robust applications using C#, .NET Core (6/8+), REST APIs, T-SQL, and modern JavaScript/jQuery.
• Build and integrate third-party APIs and external services.
• Collaborate with cross-functional teams to deliver scalable, end-to-end solutions across the technology stack.
• Identify, prioritize, and execute tasks throughout the Software Development Life Cycle (SDLC).
• Participate in Agile/Scrum ceremonies and manage tasks using Jira.
• Understand and manage technical priorities, architectural dependencies, risks, and implementation challenges.
• Troubleshoot, debug, and optimize existing systems with a strong focus on performance, scalability, and reliability.
• Provide technical mentorship, guidance, and ownership while working closely with stakeholders and clients.

Senior .NET Developer

Cloud Engineer

• Design, develop, and maintain Vlocity / Velocity Cloud solutions using OmniStudio
• Build and customize OmniScripts, FlexCards, and DataRaptors
• Implement efficient data integration and transformation using DataRaptor Load, Extract, and Transform
• Collaborate with business stakeholders to understand requirements and translate them into technical solutions
• Optimize OmniStudio components for performance, scalability, and reusability
• Troubleshoot and resolve issues related to Vlocity components and integrations
• Follow Salesforce and Vlocity best practices for development and deployment
• Work independently in a remote setup while meeting delivery timelines

Cloud Developer

Full-stack Engineer

• Lead and own end-to-end development of AI-driven products using Ruby and React, collaborating closely with product and design teams.
• Rapidly prototype, build, and iterate on features with extremely fast turnarounds (days, not weeks).
• Develop intelligent workflows and integrations leveraging LangChain, LLM frameworks, vector DBs, and embeddings.
• Implement clean, efficient architectures without unnecessary API layers—favoring direct, smart integration.
• Deliver high-impact, user-facing features that will be used by thousands globally.

Fullstack Engineer

Consultant

• Design, develop, and maintain MDM SaaS (IDMC) solutions to support enterprise master data management initiatives
• Build and manage data pipelines using IDMC Cloud Data Integration (CDI)
• Implement real-time and batch integrations using Cloud Application Integration (CAI)
• Develop, configure, and enforce data quality rules using Cloud Data Quality (CDQ)
• Collaborate with business users, architects, and data teams to gather requirements and translate them into technical solutions
• Ensure data accuracy, consistency, and reliability across source and target systems
• Monitor, troubleshoot, and optimize integration workflows for performance, scalability, and reliability
• Follow best practices for cloud data integration, security, and data governance
• Provide production support and resolve incidents within defined SLAs

Informatica IDMC / MDM Consultant

Data Scientist

• Develop, validate, and deploy machine learning models for real-world business use cases
• Perform data extraction, transformation, and analysis using SQL and Python
• Apply statistical methods and machine learning techniques such as regression, classification, clustering, and time-series forecasting
• Conduct data cleaning, feature engineering, model evaluation, and performance tuning
• Build and maintain end-to-end data pipelines and ETL workflows
• Visualize insights and model outcomes using dashboards and reports
• Collaborate with business stakeholders to understand requirements and deliver actionable insights
• Ensure compliance with data privacy and governance standards

Senior Data Scientist

Artificial Intelligence

• 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

AI Internship – Non Paid

QA Engineer

• Ensure the accuracy, consistency, and reliability of enterprise data across analytics and reporting platforms
• Design, define, and implement end-to-end data quality and validation frameworks from the ground up
• Validate data accuracy, completeness, and consistency across source and target systems
• Develop and execute SQL-based test cases to validate transformations, aggregations, and business rules
• Perform ETL/ELT testing for batch and incremental data pipelines
• Conduct data reconciliation, row-level and aggregate-level comparisons
• Automate data quality checks and regression tests, especially on Snowflake
• Collaborate closely with Data Engineering, BI, and Analytics teams to identify and resolve data issues
• Document data quality metrics, test scenarios, and defect reports
• Ensure adherence to data governance, compliance, and best practices

Senior Data QA Engineer

Engineer

• Design and implement a cloud file synchronization engine for Windows
• Collaborate with .NET developers to create seamless desktop experiences
• Develop performance-optimized file sync solutions using native C++

Windows Cloud Sync Engineer

• Act as a functional subject matter expert for Workday HCM, Benefits, and Compensation modules.
• Collaborate with business stakeholders and cross-functional teams to gather requirements and translate them into functional specifications.
• Design, build, and support Workday integrations , including Studio, PECI, EIB , and Core Connectors.
• Perform end-to-end testing, troubleshooting, and resolution of functional and integration issues.
• Manage configuration changes, enhancements, change requests, and production support activities.
• Ensure data accuracy, system compliance, and smooth end-to-end integration flows.
• Work closely with global teams and stakeholders operating in PST time zones.

Workday Functional Consultant

Salesforce Developer

• Design, develop, and customize solutions using Salesforce Communications Cloud (Vlocity) to support telecom and communications business processes.
• Build and maintain OmniStudio components including OmniScripts, DataRaptors, Integration Procedures, and FlexCards.
• Configure and extend Product Catalog, Pricing, and Promotions for communications use cases.
• Develop Apex classes, triggers, Lightning Web Components (LWC), and Aura components as needed.
• Integrate Salesforce with external systems (BSS/OSS, billing, order management, APIs) using REST/SOAP and middleware tools.
• Support order capture, order decomposition, and fulfillment workflows.
• Collaborate with business analysts, solution architects, and stakeholders to translate requirements into technical solutions.
• Ensure solutions follow Salesforce best practices for performance, scalability, and security.
• Participate in code reviews, testing, deployment, and release management.
• Provide production support and troubleshoot issues as required.

Salesforce Developer – Communications Cloud

• Collaborate with business stakeholders including Operations, HR, and Payroll to gather, analyze, and translate WFM requirements into scalable Kronos solutions.
• Lead functional design, configuration, and testing of: Timekeeping, Pay rules, Accrual profiles, Schedules, Employment terms
• Provide production support , troubleshoot Kronos system issues, and coordinate with UKG or third-party vendors as required.
• Plan and execute system testing , including unit testing, integration testing, and User Acceptance Testing (UAT) with minimal business disruption.
• Maintain detailed documentation including functional requirements, configuration change logs, and test cases in line with governance standards.
• Monitor Kronos system performance and recommend enhancements to improve usability, efficiency, and compliance.
• Support continuous improvement initiatives and system optimization efforts.