Jobs at Wissen Technology

Supports business operations through Excel-based reporting, dashboard creation, vendor governance, procurement and workforce administration. Manages contract documentation including SOWs, task orders, change orders, MSAs and NDAs. Coordinates timesheet validation, compliance tracking and cross-functional operational activities using Beeline and SAP Fieldglass. Provides actionable business insights, maintains accurate records and contributes to process improvement and operational efficiency.

Own product strategy, roadmaps, investment priorities, and lifecycle management for market data, reference data, and enterprise platforms. Lead data governance, platform modernization, AI and automation initiatives, regulatory compliance, operational resilience, and business value realization. Collaborate with senior stakeholders across business, technology, operations, and governance while managing globally distributed teams and delivering scalable, financially transparent solutions.

Source, screen, interview, and select candidates for IT roles. Manage job postings, candidate pipelines, communications, offers, and negotiations. Partner with hiring managers to define staffing needs and candidate profiles, conduct market and salary research, support employer branding, and meet hiring targets while maintaining accurate recruitment records.

Support enterprise data governance using Collibra, including BCBS 239 remediation, critical data element governance, data lineage, workflow automation, metadata management, business glossaries, and data quality dashboards. The role develops governance workflows and controls, validates and certifies lineage, maintains metadata relationships, translates stakeholder requirements, creates functional specifications and test scenarios, supports issue resolution, and provides demonstrations and knowledge transfer.

Source, screen, interview, and select candidates for IT roles. Manage job postings, candidate pipelines, communications, offers, negotiations, and hiring-manager collaboration. Conduct market research on technology talent and compensation, support employer branding, and help meet staffing targets while maintaining accurate recruitment records.

Design, develop, enhance, and maintain enterprise Power Platform solutions, including Model-Driven Apps, Code Apps, Power Automate workflows, custom connectors, and API integrations. Implement Power Gateway solutions with Java and Spring Boot, build custom interfaces using React and web technologies, troubleshoot production issues, support deployments, and collaborate cross-functionally while maintaining quality and governance standards. The role also includes independent feature ownership and mentoring junior developers.

Designs and maintains large-scale trade capture and reporting databases for investment banking. Responsibilities include SQL development, stored procedures, ETL workflows, Python automation, database performance tuning, data modeling, reporting solutions, production support, and real-time and archival data processing. The role collaborates with global stakeholders, supports Agile delivery, and mentors junior engineers while serving as a subject matter contact for reporting and user issues.

Leads PMO governance and operational delivery across client accounts and projects. Responsibilities include contract administration, client onboarding, talent transitions, stakeholder coordination, dashboards, PMO metrics, compliance tracking, billing and invoicing support, timesheet governance, ODC operations, audits, and workforce coordination. The role partners with HR, finance, IT, administration, delivery, and client teams to ensure compliant, efficient project execution and account outcomes.

Develop and maintain enterprise Salesforce solutions using Apex, Lightning Web Components, Visualforce, Flows, and automation. Configure AI-powered Agentforce agents, integrate Salesforce with external systems through REST and SOAP APIs, and support Sales or Service Cloud implementations. Responsibilities include testing, debugging, code reviews, performance optimization, deployments, and collaboration with cross-functional teams. The role also involves mentoring junior developers, owning features end to end, and contributing to technical decisions in Agile environments.

Technical Lead responsible for developing, modernizing, and supporting a metadata platform. Leads distributed developers, owns metadata onboarding and governance initiatives, designs scalable automation solutions, coordinates enterprise integrations, manages stakeholder priorities, and improves production stability. The role also establishes development standards, conducts solution reviews, troubleshoots platform issues, and drives metadata lifecycle modernization.

Support and improve mission-critical messaging platforms and production infrastructure. Responsibilities include Level 3 production support, observability and dashboard creation, monitoring and alerting, scripting and automation, complex troubleshooting, incident and change management, infrastructure documentation, and collaboration with engineering teams. The role participates in global on-call rotations and supports middleware, distributed systems, and multi-tenant production environments.

Business Analyst supporting payments and transaction banking product development. Responsibilities include gathering requirements, creating BRDs, FRDs, user stories, workflows, and functional specifications; analyzing APIs, payment flows, settlements, and reconciliation; collaborating with Product, Engineering, QA, and Operations; and supporting UAT, defect triage, production readiness, and end-to-end requirements traceability.

Designs, implements, and maintains enterprise F5 LTM and GTM load-balancing and DNS infrastructure. Develops Python and Ansible automation, performs certification and lab testing, troubleshoots complex network issues, and improves performance, stability, security, and availability. Collaborates with architects, developers, and operations teams while supporting monitoring, documentation, traffic management, and infrastructure initiatives.

Designs, builds, and maintains infrastructure automation using Python and Ansible. Manages F5 load balancers, APIs, infrastructure-as-code provisioning, certification and testing frameworks, and critical application delivery infrastructure. The role includes Linux administration, networking, troubleshooting, code reviews, lifecycle management, stakeholder collaboration, and mentoring junior engineers in a scalable enterprise environment.

Lead architecture and development of scalable Java and Spring Boot microservices, React frontends, distributed databases, and containerized deployments. Design production-grade agentic AI systems, multi-agent workflows, LLM orchestration, memory management, and custom tool calling. Mentor developers, conduct code reviews, establish engineering standards, and support Agile delivery.

Lead strategic talent acquisition for technical, niche, leadership, and high-volume hiring. Manage and mentor recruitment teams, partner with senior stakeholders, oversee vendors, build talent pipelines, track recruiting metrics, improve ATS processes, support employer branding, ensure compliance, and manage recruitment budgets and resource allocation.

Lead Wissen Technology’s AWS Cloud practice in India across architecture, engineering, delivery, and capability development. Serve as the senior authority for cloud modernization and large-scale migrations, establish AWS standards and reference architectures, build teams and talent programs, advise enterprise executives, and support major transformation deals and AWS co-sell opportunities.

Designs, develops, integrates, deploys, and supports enterprise SharePoint Online solutions and Azure-based workflows. Builds SPFx web parts, Logic Apps and Service Bus integrations, PowerShell automation, and Azure DevOps CI/CD pipelines. Manages SharePoint configuration, permissions, governance, troubleshooting, production support, and solution deployment. Collaborates with architects and engineering teams on technical design, testing, security, scalability, documentation, and knowledge transfer.

Build, deploy, and scale enterprise Generative AI solutions using Azure AI services, LLMs, RAG architectures, and agent frameworks. Develop production-ready APIs and integrations, implement evaluation, observability, guardrails, and CI/CD, and optimize AI systems for accuracy, performance, scalability, reliability, and cost. Collaborate with engineering teams to drive AI adoption, secure enterprise data integrations, and deliver solutions from concept through production.

Design, develop, and deploy production-grade Generative AI and Agentic AI applications. Build autonomous agents, multi-agent workflows, tool-calling systems, and enterprise AI integrations using LLMs, APIs, knowledge sources, RAG, and vector databases. Create scalable architectures, evaluate and improve model performance, and collaborate with product, engineering, and business teams to deliver secure, reliable AI solutions.