Remote eligible location: India.
The Full Stack Software Engineer/Lead, IAM Solutions, is responsible for designing, developing, and maintaining custom identity and access management solutions that support secure, scalable, and automated access across the organization. This role focuses on building and enhancing IAM capabilities such as identity lifecycle management, role and entitlement models, automated provisioning and deprovisioning, access controls, and system integrations across enterprise platforms.
This engineer will play a key role in developing custom solutions and automation for platforms such as Okta, Salesforce, and ServiceNow, Azure, and AWS with an emphasis on secure integration patterns, operational reliability, and long-term maintainability. The role works closely with cybersecurity, infrastructure, application owners, and business stakeholders to translate IAM and business requirements into practical technical solutions that improve security, reduce manual effort, and support business growth.
Design, build, and maintain custom IAM applications, APIs, services, and automation that support identity lifecycle management, role-based access, entitlement management, and provisioning workflows.
Develop full stack solutions that enable secure identity orchestration, access automation, and administrative workflows across platforms including Okta, Salesforce, ServiceNow, and other enterprise applications.
Engineer and maintain automated joiner, mover, leaver provisioning and deprovisioning processes to improve speed, accuracy, and control over user access.
Partner with cybersecurity, infrastructure, business application owners, and other stakeholders to gather requirements and translate them into secure, scalable technical designs.
Design and implement integrations between IAM platforms, enterprise systems, HR-driven workflows, ticketing systems, and internal tools using APIs, web services, event-driven patterns, and data transformation logic.
Build and support solutions related to identity attributes, access roles, group management, entitlement assignment, and policy-driven automation.
Write clean, efficient, well-documented code and reusable components using modern software engineering practices and appropriate languages, frameworks, and development tools.
Participate in the full software development lifecycle, including design, development, testing, deployment, documentation, and operational support.
Troubleshoot and resolve incidents, defects, integration failures, provisioning issues, and access-related incidents while improving system stability and supportability.
Ensure IAM solutions are designed with strong security controls, auditability, resilience, and scalability in mind.
Contribute to technical standards, design reviews, code reviews, and engineering practices that improve solution quality and reduce risk.
Support testing and validation efforts, including unit, integration, and end-to-end testing of IAM workflows and provisioning logic.
Maintain technical documentation for system designs, workflows, integration points, and operational procedures.
Stay current with IAM trends, security practices, and modern software engineering approaches, and recommend improvements where appropriate.
Bachelor’s degree in Computer Science, Information Technology, Software Engineering, or a related field, or 6+ years of professional software engineering experience, including several years of hands-on experience building custom IAM, access automation, or enterprise integration solutions.
Practical experience developing and supporting solutions that integrate with enterprise platforms such as identity providers, IT service management systems, CRM platforms, HR systems, or related business applications.
Experience developing secure integrations and APIs across platforms such as Okta, Salesforce, ServiceNow, and other enterprise systems.
Experience building automated provisioning, deprovisioning, and access governance solutions.
7+ years of experience designing and delivering custom IAM software solutions in a complex enterprise environment.
Certifications: CISSP, IDPro, CCSP, CIMP, Okta Certified Professional or Developer, MS Azure SC-300, AWS CCP, AWS CSA
Experience utilizing AI tools to create and test custom automation agents.
Strong full stack software development experience with two or more modern programming languages such as Python, Java, C#, JavaScript, or similar technologies.
Strong understanding of IAM concepts, including identity lifecycle management, provisioning and deprovisioning, roles, group-based access, entitlements, least privilege, segregation of duties, and access control models.
Experience designing and building custom IAM workflows and automation for user onboarding, job changes, termination processing, and access requests.
Knowledge of authentication, authorization, and identity-related security principles.
Experience working with REST APIs, webhooks, system-to-system integrations, and data exchange patterns.
Strong understanding of secure software development practices, including logging, error handling, secrets protection, input validation, and testing.
Familiarity with modern software architecture and engineering practices, including modular design, version control, CI/CD, automated testing, and code review.
Experience working with relational databases, data models, and query development.
Strong problem-solving and troubleshooting skills, especially in diagnosing complex workflow, integration, and access issues.
Familiarity with Agile delivery practices and tools such as Jira.
Ability to balance technical design, delivery speed, operational support, and long-term maintainability.
Strong written and verbal communication skills, with the ability to work effectively across technical teams, security teams, and business stakeholders.
This role develops full-stack identity and access management solutions for enterprise systems. The work spans identity lifecycle workflows, access automation, platform integrations, and secure operational support, in collaboration with security, infrastructure, application, and business teams.
Acceldata develops enterprise software for data observability, data management and AI operations. Its xLake platform combines data quality checks, pipeline monitoring, lineage, governance and compute management across cloud, on-premises and hybrid environments. Products include Acceldata Data Observability Cloud, Agentic Data Management, AI Observability and an Open Data Platform for Hadoop modernization. It also offers xFactory, introduced in early access for building AI agents and applications on governed enterprise data. Its tools help data teams detect unreliable data, investigate pipeline failures, control infrastructure costs and support analytics and AI workloads. Customers include Dun & Bradstreet, PubMatic, PhonePe and HCSC.
Acceldata offers engineering work on distributed systems, data reliability and AI agents using technologies such as Java, Python, Kubernetes and LangChain. It has raised over US$100 million and serves enterprises including Dun & Bradstreet, PubMatic and PhonePe, providing exposure to large-scale data problems. Published Bengaluru engineering roles list ESOPs, medical and life insurance, paid maternity and parental leave, mentorship and learning support. Those roles are advertised as on-site.
Programming language
Programming language
Programming language
Frontend library
Frontend framework
Backend framework
Relational database
In-memory data store
Event streaming
Distributed data processing
Container orchestration
AI orchestration framework
Co-founded Acceldata in 2018 and serves as CEO. Previously Director of Engineering at Hortonworks, where he led development of Dataplane Services, Apache Ambari and Apache Zeppelin. His experience building large-scale data systems at Hortonworks and Zalando informed Acceldata's focus on data reliability and observability.
Co-founded Acceldata in 2018 and serves as CTO, leading technology vision, architecture and engineering. Previously held engineering and architecture roles at Hortonworks, Zalando, Thoughtworks and [24]7.ai. His expertise spans distributed systems, big-data infrastructure and large-scale analytics platforms.
Co-founder and Vice President of Engineering, leading engineering for data observability and Agentic Data Management. Previously worked at Hortonworks and contributed to the Apache Software Foundation ecosystem. His expertise includes distributed systems and AI-driven enterprise data platforms.
Co-founded Acceldata in 2018 after working at Hortonworks and serves as Senior Architect. He was part of the four-person founding team that established the company's approach to enterprise data reliability and observability, bringing experience in complex data systems.
Leads Acceldata's sales strategy. Brings more than 20 years of enterprise technology experience, including roles at Hitachi Vantara, BusinessObjects and Birst, and experience managing large field-sales organizations.
Leads global marketing strategy. Brings more than 30 years of technology marketing experience, including work at GitLab and Propelo, which was acquired by Harness, and experience developing software market categories.
Leads product strategy. Brings more than 30 years of experience across cloud platforms, SaaS applications and infrastructure, including roles at ActivTrak and Reltio, with expertise relevant to enterprise data management and analytics.
Leads Acceldata's finance function. Previously served as CFO at Singular and has experience at Yahoo, BlueKai and Birst. His background includes scaling technology businesses, capital allocation and evaluating the economics of enterprise AI.
Leads customer success at Acceldata. His experience includes building global technical customer success and support teams of more than 300 people, with expertise in digital customer experience and scaling customer-facing operations.
Acceldata
The release adds Apache Kyuubi integration for monitoring private-cloud lakehouses, improved pipeline run investigation and a dashboard for tracking data quality across published data products.
Read articleAcceldata
Introduced xFactory in early access for existing xLake customers. The platform builds, tests and deploys AI agents, applications and analytics from business requests using governed data across hybrid enterprise environments.
Read articleAcceldata
The new capability traces prompts, model calls, tools and retrieval steps, connecting AI application behavior with data quality, lineage and pipeline monitoring across cloud and on-premises systems.
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