Jobs at Agivant Technologies India Private Limited

Drive enterprise business development by engaging CXO-level stakeholders, building strategic relationships, generating sales pipelines, positioning AI, data, cloud, and hyper-automation solutions, managing end-to-end sales cycles, negotiating agreements, and closing deals. The role requires strong executive communication, networking, analytical thinking, resilience, and technology-sector sales experience.

Owns QA automation across API, UI, integration, regression, and performance testing. Designs scalable Python-based automation frameworks, validates REST APIs and React applications, integrates tests into CI/CD pipelines, and analyzes performance results. Collaborates with product and engineering teams on test strategy, acceptance criteria, quality metrics, release readiness, and defect resolution. Maintains reusable test suites, supports cross-browser and accessibility testing, and improves coverage and testing processes.

Design, build, and optimize scalable Neo4j graph database infrastructures supporting knowledge graphs and AI-driven applications. Develop and tune Cypher queries, model complex datasets, manage indexing and performance, and administer backups, recovery, clustering, and scaling. Collaborate with data science and AI teams on graph-based applications, ensure data integrity and security, automate database operations, troubleshoot bottlenecks, and document schemas and procedures.

Early-career Associate Engineers will develop, test, debug, and maintain software and AI-first applications under experienced engineers. Responsibilities include applying programming, data structures, algorithms, SQL, APIs, Git, testing, and CI/CD practices while contributing to automation, proof-of-concepts, data, cloud, quality, full-stack, and AI/GenAI projects. The role emphasizes structured learning, collaboration, communication, problem-solving, and growth into specialized engineering disciplines.

Designs and operates resilient Azure cloud platforms using infrastructure as code, Ansible, and automated CI/CD. Owns networking, API Management, Functions, Azure SQL, Key Vault, observability, security, backups, disaster recovery, incident response, patching, scaling, and cost management. Builds production-grade automation, resilience testing, rollback processes, and day-two operations aligned with SLAs and SLOs.

Lead a hands-on engineering organization in Pune by architecting and troubleshooting complex solutions, setting technical standards, overseeing product development and maintenance, and driving Agile, DevOps, QA, cloud, and AI-enabled delivery practices. Recruit and develop engineering talent, manage teams of 30 or more, engage clients as a technical advisor, translate business goals into technical roadmaps, and contribute to revenue, margin, and account growth.

Designs, deploys, monitors, and troubleshoots global network infrastructure and security services across data centers, cloud environments, and enterprise networks. Develops security standards, access controls, segmentation, policies, compliance automation, and Zero Trust Architecture. Manages firewalls, VPNs, SASE, and network security platforms; investigates threats, performs audits, resolves infrastructure issues, supports users, and documents secure designs and procedures.

Develop infrastructure-as-code and automation to migrate repository configurations from Gerrit to GitLab, integrate GitLab APIs, and connect webhooks to Jenkins pipelines. Build and maintain proxy or translation services, execute bulk repository reconfiguration, monitor service health, and troubleshoot CI/CD integration failures.

Leads enterprise infrastructure, asset lifecycle management, cloud architecture, IT operations, cybersecurity, compliance, disaster recovery, and client-facing IT governance. Responsibilities include maintaining uptime, managing hardware and software assets, optimizing licenses, automating IT processes, overseeing cybersecurity controls and audits, implementing backup and business continuity plans, leading 24x7 operations, and managing cloud, data center, network, vendor, and emerging technology strategies.

Create and edit technical and business content, including blogs, case studies, whitepapers, website copy, social media, sales collateral, and internal communications. Translate complex technology concepts into audience-friendly business value, collaborate with technical and business stakeholders, manage content calendars and approvals, maintain editorial standards and brand assets, and use performance insights and AI-assisted tools to improve content quality and engagement.

Build and ship production-grade full-stack applications for agentic AI use cases. Own user experience, application architecture, enterprise security, permissions, agent safeguards, auditability, deployment, scalability, observability, and marketplace packaging. Translate complex AI and graph capabilities into intuitive investigation workflows, collaborate with customers and cross-functional teams, and create reusable, configurable products deployable across enterprise customers and cloud environments.

Design, implement, maintain, and operate highly available distributed systems for graph data and vector embedding infrastructure. Optimize ingestion, indexing, query, and nearest-neighbor search pipelines for low latency and high throughput. Diagnose production issues across the data stack, lead root-cause analyses, and implement preventive measures. Collaborate with teammates and adopt AI-assisted engineering practices.

Own and execute the partnerships and alliances strategy across technology, cloud, SaaS, and platform partners. Build relationships, joint value propositions, co-marketing initiatives, partner pipeline, and revenue growth. Establish ecosystem governance, KPIs, reporting, incentive structures, and strategic agreements while enabling internal teams through training and certifications. Represent the company at partner events and collaborate with legal, finance, marketing, sales, and executive stakeholders.

Build and optimize backend systems for real-time and historical data querying. Responsibilities include developing query language runtimes, parsing, semantic analysis, query planning, execution, Kafka-native streaming pipelines, Spring Boot services, and high-performance Java and C++ components. Collaborate on database infrastructure, query optimization, language semantics, type systems, code reviews, and engineering standards.

Design, develop, test, and maintain Java/J2EE backend and frontend features. Build UI components with HTML, JavaScript, and CSS; optimize SQL and relational database interactions; participate in code reviews and unit testing; troubleshoot production issues; collaborate with QA, product, and engineering teams; and lead technical design discussions and documentation.

Develop and modernize ServiceNow applications, workflows, integrations, and user experiences. Responsibilities include custom application development, UI Builder and Workspace configuration, JavaScript and Glide API scripting, REST/SOAP integrations, Flow Designer automation, Service Catalog fulfillment, and maintaining ITSM and CMDB data integrity.