Software Engineer, Big Data
Confirmed on the employer's own hiring board on Nov 13, 2026. First seen by Alion on Nov 13, 2026. Protegrity scores A on the Alion truth index.
At Protegrity, we lead innovation by using AI and quantum-resistant cryptography to transform data protection across cloud-native, hybrid, on-premises, and open source environments. We leverage advanced cryptographic methods such as tokenization, format-preserving encryption, and quantum-resilient techniques to protect sensitive data. As a global leader in data security, our mission is to ensure that data isn’t just valuable but also usable, trusted, and safe.
Protegrity offers the opportunity to work at the intersection of innovation and collaboration, with the ability to make a meaningful impact on the industry while working alongside some of the brightest minds. Together, we are redefining how the world safeguards data, enabling organizations to thrive in a GenAI era where data is the ultimate currency. If you're ready to shape the future of data security, Protegrity is the place for you.
Role Overview
Our software product development team builds the enterprise data security ecosystem that global organisations rely on to protect their most sensitive data. In this role, you will contribute to research, feature design, and implementation in a fast-paced Agile environment, helping deliver data platform and cloud capabilities from concept to release.
You will learn the technologies behind modern data security while working alongside talented engineers on end-to-end product delivery. This position is ideal for technically strong individuals who enjoy building technology and collaborating across teams. Your work will directly shape how customers secure data across hybrid-cloud, multi-cloud, and on-premises environments.
What You’ll Do
Design, build, and maintain new and existing products and features that strengthen Protegrity’s enterprise data security platform.
Deliver well-engineered, production-quality software by independently applying the team’s development standards, design patterns, frameworks, and tools.
Participate in Agile practices as both an individual contributor and a team player.
Grow expertise in data security and the product’s technical environment, including operating systems, cloud technologies, container orchestration, and native programming languages.
Review the work of peers and junior engineers to raise code quality while contributing independently.
Collaborate within and across teams to resolve technical requirements and product module dependencies, communicating clearly.
What You’ll Need
3-7 years of hands-on software engineering experience, preferably in data platforms, cloud platforms, distributed systems, or data security. A degree in Computer Science or a related field, or equivalent practical experience.
Knowledge of one or more modern, scalable cloud data platforms, such as Databricks, Amazon EMR, Cloudera Data Platform, or Microsoft Fabric.
Knowledge of one or more large-scale data processing technologies, query engines, and table or storage formats, such as Apache Spark, Hive, Trino, Apache Iceberg, Delta Lake, or Parquet.
Strong programming experience in Java or Python, with the ability to design, build, debug, and profile production-quality large-scale data and cloud software, and experience with Linux and shell scripting.
Practical experience using AI-assisted development tools for code analysis, debugging, test generation, documentation, and design exploration while ensuring secure, reliable, production-quality outcomes.
Hands-on experience with one or more cloud platforms, such as AWS, Azure, or GCP, and an understanding of containerised platforms such as Kubernetes.
Excellent verbal and written communication skills, with the ability to explain technical content clearly through documentation and presentations and to collaborate effectively with teammates.
Nice to Have
Knowledge of setting up and operating distributed data clusters in the cloud, such as Spark on Kubernetes or Hadoop/CDP, including networking and IAM concepts.
Knowledge of performance tuning of large-scale data workloads.
Understanding of software security requirements and standards, such as NIST, OWASP, and PCI DSS, and knowledge of cryptography and cryptographic algorithms.
Experience with CI/CD pipelines, automated testing, code quality tools, and release processes, within Agile development and the software development life cycle (SDLC).
Should you accept this position, you will be required to consent to and successfully complete a background investigation. This may include, subject to local laws, verification of extended education and additional criminal and civil checks.
We offer a competitive salary and comprehensive benefits with generous vacation and holiday time off. All employees are also provided access to ongoing learning & development.
Ensuring a diverse and inclusive workplace is our priority. We are committed to an environment of acceptance where you are free to bring your full self to work. All qualified applicants and current employees will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability or veteran status.
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