Jobs at Truviq Systems Private Limited

Supports AI and analytics discovery by analyzing operational data and process flows, identifying inefficiencies, assessing AI/ML use cases, and generating business insights. Responsibilities include data exploration, analytical modeling, process mining, dashboard and visualization development, data-readiness assessment, documentation of assumptions and limitations, and collaboration with data scientists, business analysts, consultants, and architects. Healthcare domain experience is required.

Gather and analyze business requirements for Pega applications, document specifications, support solution design, collaborate with technical teams, facilitate UAT, manage user stories, and recommend process improvements.

Manage end-to-end accounting operations, including AP, AR, GL entries, reconciliations, invoicing, collections, financial reporting, payroll processing, and statutory compliance. The role also supports month-end and year-end closing, maintains audit-ready records, coordinates with auditors and stakeholders, and uses Excel and accounting software to ensure accurate and timely financial administration.

Designs, modernizes, and maintains complex relational, dimensional, and NoSQL databases for mission-critical digital platforms. Responsibilities include schema evolution, high availability, indexing, memory and caching optimization, query performance analysis, and execution-plan tuning. The role may also support database sharding, distributed clustering, partitioning, compression, data lake integration, data lineage, quality controls, CDC, and streaming pipelines.

Generate qualified B2B leads by researching target companies and decision-makers, building prospect lists with Apollo.io and LinkedIn Sales Navigator, conducting email and LinkedIn outreach, scheduling meetings for leadership, maintaining CRM records, collaborating with marketing and sales, and tracking lead-generation metrics across global markets.

Conduct end-to-end domestic IT recruitment, especially contract staffing for Pega, Camunda, Java, and ServiceNow roles. Source and screen candidates through job portals, LinkedIn, referrals, and recruitment tools; coordinate interviews with candidates and hiring managers; maintain pipelines, reports, and documentation; manage onboarding; and handle stakeholder and client coordination to ensure timely hiring closures.

Lead the design, development, configuration, integration, deployment, and management of enterprise Pega applications. Define class structures, data models, process flows, security protocols, and integrations with databases and external systems through SOAP and REST. Mentor developers, conduct code reviews, ensure quality releases, gather business requirements, and lead technical delivery for medium to large-scale projects using Agile and Scrum methodologies.

Coordinate enterprise releases and support deployments across environments. Use Pega Cloud tools, including Deployment Manager, Dev Studio, and Diagnostic Center, to monitor application health during and after releases. Apply SDLC, release management, and environment promotion concepts; provide deployment updates in CAB and release review meetings; coordinate stakeholders; and perform basic troubleshooting and issue triage.

Design, develop, deploy, and manage enterprise Pega applications using Constellation architecture. Responsibilities include designing case types, workflows, data models, UI components, integrations, security models, and reusable components. The role delivers medium-to-large solution components in Agile/Scrum environments, integrates REST/SOAP services and databases, collaborates with architects, analysts, and QA teams, and mentors developers through technical guidance and code reviews.

Develop backend services in Java and Quarkus, designing secure APIs and event-driven or streaming architectures. Own services end to end, including data models, testing, deployment, auditability, and compliance. Deploy and operate containerized workloads using Docker, Kubernetes, and GCP services such as GKE, IAM, VPC networking, and Cloud KMS within locked-down enterprise environments.

Design, develop, and deploy enterprise Generative AI applications using LLMs, RAG, and agentic AI frameworks. Build conversational assistants, chatbots, document intelligence platforms, copilots, autonomous agents, vector search pipelines, and scalable Python/FastAPI services. Deploy solutions across Azure, AWS, or GCP using Docker, Kubernetes, and CI/CD. Monitor production AI performance, collaborate with architects and product teams, participate in Agile ceremonies, and mentor junior engineers.

Lead end-to-end development and delivery of production-grade generative AI applications, including RAG systems, conversational AI, and AI agents. Manage cross-functional AI and software engineering teams, define product roadmaps and delivery plans, oversee architecture and technology selection, and guide cloud infrastructure and MLOps practices. Communicate progress, risks, technical concepts, product demonstrations, and business outcomes to senior stakeholders while building and scaling high-performing teams.

Validates Pega applications against functionality, performance, integration, security, and business requirements. Creates test plans and cases, executes manual and automated tests, identifies defects, and collaborates with developers, business analysts, and architects to resolve issues.

Own strategic account growth across technology and staffing engagements by identifying upsell, cross-sell, and new-business opportunities. Build executive relationships, conduct account mining, develop pipelines, align solutions with client goals, and lead business reviews. Partner with sales, pre-sales, delivery, and marketing to close complex deals, track market and competitor activity, achieve revenue and satisfaction targets, and maintain CRM accuracy.

Design, develop, configure, integrate, and manage enterprise Pega applications. Responsibilities include defining class structures, data models, and process flows; integrating databases and external systems through SOAP and REST; leading technical delivery; mentoring developers; conducting code reviews; ensuring application security, compliance with Pega Guardrails, and quality releases. The role also involves customer-focused solution design and delivery using Agile and Scrum methodologies.

Lead end-to-end Pega Customer Decision Hub implementations, architect scalable Pega PRPC solutions, mentor development teams, translate business requirements into technical designs, integrate decisioning and business operations processes, optimize next-best-action and modeling capabilities, and ensure code quality, performance, and documentation standards.