Jobs at Truviq Systems Private Limited

Maintain and improve Azure cloud and Kubernetes environments, including AKS clusters, infrastructure, networking, security, monitoring, and reliability. Onboard applications by containerizing workloads and configuring Kubernetes deployments, networking, secrets, and releases. Troubleshoot application and infrastructure issues, automate CI/CD and provisioning, and maintain operational documentation, runbooks, alerts, and production readiness in collaboration with development and security teams.

Develop and maintain Java Spring Boot microservices, build and consume REST APIs, write unit tests, participate in code reviews, and resolve production issues. Senior-level responsibilities include owning modules end-to-end, leading architecture discussions, mentoring junior developers, and optimizing performance. The role requires Java, Spring technologies, microservices, databases, version control, and build tools, with additional cloud, security, containerization, messaging, and CI/CD skills for senior positions.

Lead Pega architecture and development teams across projects from proposal through completion. Collaborate with clients and business teams on requirements, design, development, deliverables, and user acceptance testing. Advise clients on Pega best practices, create reusable and extensible solutions, and apply expertise in enterprise design, security, authentication, authorization, performance tuning, mobile solutions, and industry-standard applications.

Senior Business Analyst responsible for gathering and clarifying requirements, facilitating workshops, managing stakeholders, optimizing workflows, and aligning solutions with business goals. The role focuses on customer-centric process improvement, automation, regulatory compliance, risk mitigation, and banking operations. Candidates should have extensive Pega Smart Dispute and banking experience, familiarity with BPM tools, and experience delivering solutions using Agile or Scrum methodologies.

Leads the architecture, design, development, deployment, and management of large-scale Pega applications. Collaborates with clients and business teams across requirements, design, development, and user acceptance testing. Provides guidance on Pega best practices, reusable solutions, enterprise class and data models, application security, authentication, authorization, performance tuning, mobile solutions, and Constellation-based implementations. Oversees architecture and development teams and supports projects from proposal through completion.

Lead large-scale Pega projects from proposal through delivery, overseeing architecture, development, integrations, data models, security, authentication, performance tuning, and mobile solutions. Collaborate with clients and business teams across requirements, design, development, and user acceptance testing. Guide architects and developers, consult on Pega best practices, and deliver extensible, reusable solutions using Constellation and domain expertise.

Develop agentic AI and generative AI solutions using Python, FastAPI, LLMs, RAG, AI agents, LangChain, and LangGraph. Build and deploy cloud-based applications on GCP, integrate vector databases, and implement CI/CD pipelines. The role requires strong software engineering experience and hands-on experience with agentic AI and GenAI technologies.

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.

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.

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.