Principal Software Engineer
Location: Hyderabad / Remote Work Arrangement: Hybrid / Remote
About the Role
We're looking for a technically exceptional Principal Software Engineer with deep expertise in AI skills to join our team to build rapid solutions to address complex customer issues across our core ECM solutions. You will be closely working with customers, services, support and cloud services teams to understand customer pain points, and develop solutions, utilities and contribute to product codebase where appropriate. You'll also establish and evangelize best practices for AI-led development, while maintaining the security, performance, and code quality standards that enterprise systems demand. If you're an engineer who combines deep technical depth across programming languages such as Java, C# and C++ with a passion for applied AI in enterprise software systems, and you're excited to dive-deep and help modernize our flagship products, we'd love to connect.
Your Role Responsibilities? Here's What You'll Do.
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Reverse engineer our flagship products and understand the technical designs and implementation complexities.
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Work with implementation partners, customers and services teams to understand the deployment and upgrade processes and design solutions to unblock implementation and upgrade challenges.
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Build AI enabled features in our core offerings to meet critical customer demands.
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Champion the adoption of AI-assisted code generation tools (GitHub Copilot, Cursor, Claude) while maintaining rigorous quality gates — including peer review processes, testing strategies, and security validation — and mentor engineers on effective prompting strategies and build internal best practices documentation.
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Work with our cross-functional teams to improve and fine-tune our solutions for faster cost-optimized deployments across multiple hyper-scalers.
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Re-design and Re-factor and parts of our products to improve throughput across data ingestion and egress pipelines.
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Design petabyte-scale systems across multi-cloud environments (AWS EKS, Azure AKS, GCP GKE); architect streaming data pipelines establish observability frameworks with distributed tracing, Prometheus metrics, and AI-powered anomaly detection.
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Establish architectural patterns, design guidelines, and RFC processes; implement security-first architecture including secrets management, encryption, and compliance frameworks; champion code quality through CI/CD pipelines with AI-enhanced static analysis, automated testing, and vulnerability scanning.
Technology Tools
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Java, C#, C++
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Kubernetes, Docker & Helm
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Apache Spark & Kafka
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AWS, Azure & GCP
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MongoDB, Apache Iceberg, HBase, Parquet & Delta Lake
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LLM APIs & AI Code Generation Tools (GitHub Copilot, Claude, Cursor)
Role Essentials
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20+ years in software engineering with 10+ years in architect or principal engineer roles; 8+ years designing distributed systems (Spark, Kafka, distributed databases) at scale; 5+ years building microservices architectures on Kubernetes in production environments.
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Expert-level knowledge of Java/C#/C++ with experience in systems programming, memory management, and performance optimization.
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3+ years hands-on experience with LLMs and AI integration in data systems — including prompt engineering, fine-tuning, vector embeddings, and RAG patterns — with a proven track record architecting MDM, data integration, or data governance platforms.
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Advanced knowledge of distributed systems — consensus algorithms, eventual consistency, distributed tracing, and resilience patterns — with hands-on experience across Spark, Kafka, Trino/Presto, and cloud platforms including AWS and Azure.
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Data storage expertise across MongoDB, Oracle, SQL Server, Postgres, Apache Iceberg, HBase, and columnar formats (Parquet, ORC); proven skills with containerization and orchestration (Docker, Kubernetes, Helm); strong experience with cloud platforms including AWS (S3, EMR, EKS) or Azure (Data Lake, AKS).
About Hyland
Hyland is the pioneer of the Content Innovation Cloud™, delivering ubiquitous enterprise intelligence to organizations with solutions that unlock actionable insights and drive automation.
Trusted by thousands of organizations worldwide, including many of the Fortune 100, Hyland's solutions create the foundation for a connected, agentic enterprise, where teams harness the power of AI to redefine how they operate and engage with those they serve. For additional information on Hyland's platform and services, please visit Hyland.com.
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About Hyland Life
#HylandLife
Since 1991, it has been Hyland's mission to help our employees, customers and partners exceed their potential with our industry-leading content services platform. Our employees exude a contagious energy and are passionate about what they do – whether it's helping customers succeed, raising up their fellow Hylanders, or engaging in the communities where they live and work.
The #HylandLife hashtag encompasses our employee-centric culture. Our employees live our culture day in and day out by bringing their best self to work. Hyland supports them to do just that through career development resources, wellbeing programs and innovation practices. We thrive on diverse viewpoints and new ideas and believe that a positive, inclusive workplace is imperative to sustainable success.
As we've grown to a company of nearly 4,000 strong, we have the opportunity to make a significant impact on our communities. We strongly support employee initiatives and align our giving campaigns and programs to organizations that are important to them.
Equal Opportunity Statement
Hyland is an equal opportunity employer. We value diversity and are committed to providing an inclusive workplace for all employees and applicants. Employment decisions are made without regard to any characteristic protected by applicable laws and regulations. Information collected during the hiring process is used solely to assess qualifications, verify identity, and comply with legal requirements.
