Jobs at Agivant Technologies India Private Limited

Provides advanced L3 technical support for graph and data-based software products. Troubleshoots Linux, database, networking, cloud, Kubernetes, cluster, API, and performance issues across distributed environments. Participates in 24/7 on-call coverage, manages SLAs, creates documentation, supports product adoption, and collaborates with engineering teams on escalations. Requires expertise in graph and NoSQL databases, SQL, scripting, data streaming, containers, monitoring, and cloud infrastructure.

Build agentic AI and GraphRAG systems, MCP tools, orchestration workflows, LLM integrations, graph query pipelines, vector search components, and developer-facing SDKs. Integrate TigerGraph with vector indexes and external LLMs, create reusable agent modules and prompts, benchmark groundedness and performance, write tests, document tooling, and collaborate with platform, research, and product teams.

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.

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.

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.

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.

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.

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.