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Security Engineer

Starburst·Salary not specified

Primary stack

CI/CDAPI

Job description

About the Position

We are looking for a Security Engineer focused on Application and Product Security to join our team at Starburst in Warsaw, Poland. In this role, you will play a key role in improving the security posture of our applications, services, and development ecosystem. You will work closely with engineering teams to integrate security into the software development lifecycle, build secure-by-default patterns, and ensure that products are resilient against modern threats.

About Starburst

Starburst delivers enterprise intelligence at scale by giving organizations secure, governed access to all their data, wherever it lives. Built for distributed data environments, Starburst helps enterprises power AI and analytics without the cost and complexity of traditional data consolidation. With open standards including Trino and Apache Iceberg, Starburst enables trusted access to complete enterprise context while helping organizations avoid vendor lock-in. Leading global enterprises trust Starburst to fuel AI, analytics, and enterprise intelligence. Learn more at starburst.ai.

Responsibilities

  • Integrate application security best practices into the development lifecycle by partnering with engineering teams and enabling automated security checks within CI/CD pipelines.
  • Support and maintain Application Security based tooling-including SAST, DAST, SCA, and secrets scanning-and help developers interpret and remediate findings.
  • Conduct secure code reviews, threat modeling sessions, and application architecture assessments to identify risks and propose mitigation strategies.
  • Develop and maintain security automation, guardrails, and reusable components.
  • Assist in defining and improving secure coding standards and application hardening practices.
  • Support monitoring and detection efforts by helping improve application-level logging, telemetry, and alerting.
  • Assist in incident response activities related to application vulnerabilities, including verification, triage, and remediation support.
  • Stay current on emerging threats, vulnerabilities, and best practices in application and product security.
  • Contribute to documentation including security requirements, guidelines, and remediation playbooks.
  • Participate in internal security reviews, compliance-driven assessments, and architectural walkthroughs.
  • Develop and help maintain existing application security tools, pipelines, and workflows.
  • Collaborate with engineering and product teams to ensure secure deployment and continuous improvement of applications.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, MIS, or equivalent practical experience.
  • 2–5 years of experience in application security, product security, software engineering with a security focus, or a related technical role.
  • Strong understanding of application vulnerabilities and mitigation strategies (OWASP Top 10, CWE).
  • Experience with CI/CD tooling, Git-based workflows, and modern development practices.
  • Familiarity with cloud security concepts and hands-on experience with at least one cloud platform (AWS, Azure, or GCP).
  • Experience with one or more programming languages such as Python, Go, Java, JavaScript/Typescript, or Ruby. (Java and Python preferred.)
  • Experience with application security tools such as OWASP ZAP, Burp Suite, SAST/DAST tools, SCA, or dependency scanning.
  • Knowledge of secure coding principles, API security, authentication, authorization, and secrets management.
  • Strong problem-solving skills and the ability to communicate technical issues clearly to developers and cross-functional stakeholders.
  • Understanding of agile development processes and working within engineering teams.
  • Ability to Travel: This role will require 25% in-person travel for purposes including but not limited to new hire onboarding, team and department offsites, customer engagements, and other company events. Actual travel expectations may vary by role and business needs.

We Offer

  • Competitive Total Rewards program
  • Flexible paid time off
  • Stock grants
  • Opportunity to work in a hybrid model with an expectation of being onsite 1-2 days per week

About the Company

At Starburst, we are committed to fostering an intentional, inclusive, and diverse culture that drives deep engagement, authentic belonging, and an exceptional All-Star experience. We believe that diversity of thought, perspective, background, and experience will enable us to own what we do, drive our success, and empower our All-Stars to show up authentically.

Starburst provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

© Starburst. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

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Starburst

Enterprise Intelligence,Data Engineering,AI and Machine Learning

About the Company Starburst is a flexible data platform built on Trino and Apache Iceberg, designed to provide fast, secure access to data across various environments including clouds, on-premises, and hybrid setups. It enables organizations to unify distributed data without requiring data movement, offering a unified context layer for querying and analyzing data. Products, Services & Tech Stack Core Solutions: Enterprise Intelligence Platform Federated query engine Data lakehouse solutions AI data access and decision-making tools Technologies & Frameworks: Trino Apache Iceberg AIDA (AI Data Agents) Project Scope & Target Clients Client Base: Organizations with distributed data across multiple platforms Enterprises looking for fast, governed analytics without centralizing data Engineering Scale: Projects involving high-concurrency analytics Modernization of data platforms using Iceberg and open formats Building scalable data strategies with reduced data movement

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