9 дней назад
Staff Java Software Engineer (Identity Security)
133 100 - 224 436$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Java Software Engineer (Identity Security): Designing, building, and deploying scalable identity security microservices on a cloud-native AWS platform with an accent on Java development, event-driven architecture, high-throughput data transformations, and AI-assisted delivery. Focus on leading architectural decisions, solving complex distributed-systems and database challenges, improving observability and reliability, and mentoring engineers.
Location: United States
Salary: $133,100–$224,436 USD annually for US-based employees. Additional compensation may include a corporate or role-specific bonus and equity participation.
Company
develops AI- and ML-powered identity security solutions for cloud enterprises through a SaaS platform.
What you will do
- Design, estimate, implement, and deploy features based on product requirements.
- Build scalable, reliable Java microservices within an AWS-hosted, cloud-native architecture.
- Provide hands-on technical leadership and guide practical architectural decisions.
- Review code, troubleshoot complex issues, and maintain high engineering standards.
- Lead proofs of concept and research tools, frameworks, and development methodologies.
- Participate in on-call support for critical team systems and collaborate with cross-functional teams.
Requirements
- 8+ years of professional software development experience.
- Strong Java experience and advanced object-oriented programming skills.
- Experience with AWS, IAM/IGA, compliance, security, or privacy.
- Advanced experience with large-scale databases, messaging, queues, and event technologies such as Redis or Kafka.
- Deep understanding of SaaS architecture, microservices, event-driven architecture, and distributed systems.
- Bachelor’s degree in Computer Science or a related field, along with strong communication and independent problem-solving skills.
Nice to have
- Experience with Airflow-based ETL workflows, data lakes, Snowflake, Databricks, or cloud-native data-lake services.
- Experience with continuous delivery and service-level objectives.
- Experience with observability platforms such as Grafana, Prometheus, or Datadog.
- Familiarity with AI and machine learning, including AI-assisted development tools such as Claude and Cursor.
- Experience instrumenting code to collect production performance metrics.
Culture & Benefits
- Results-driven engineering environment with strong individual technical impact and developer autonomy.
- Cloud-native product development on an event-driven microservices architecture hosted in AWS.
- Medical, dental, vision, disability, life, and accidental death and dismemberment insurance.
- 401(k) plan with company matching, health and dependent-care spending accounts, and an HSA with employer contribution.
- Flexible vacation policy, paid holidays, sick leave, paid parental leave, and employee assistance services.
Hiring process
- Success expectations include merging code to production within the first 30 days, taking ownership of a critical backend feature by day 60, and deploying a major scalable system by day 90.
- The role includes producing architectural design documents, establishing observability and reliability metrics, mentoring engineers, and presenting technical simplification plans to leadership.
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