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Specialist, Java Engineer

Austin, TX, US • Posted 13 days ago • Updated 3 hours ago

Full Time

On-site

USD $105,000.00 - 112,000.00 per year

Fitment

Dice Job Match Score™

⭐ Evaluating experience...

Job Details

Skills

Software Development
Authentication
Authorization
SLA
TPS
Budget
Recovery
Production Support
Incident Management
Root Cause Analysis
Continuous Integration
Continuous Delivery
Capacity Management
Code Refactoring
Documentation
Artificial Intelligence
Workflow
Collaboration
Decision-making
Java
RESTful
API
Google Cloud
Google Cloud Platform
Cloud Computing
Identity Management
OAuth
OIDC
SAML
Concurrent Computing
Performance Tuning

Summary

Your Opportunity

We are seeking a Software Engineer to design, build, and operate high-throughput, low-latency, mission-critical platforms. This role focuses on Java-based API development, cloud-native deployments (Google Cloud Platform or equivalent), modern access management protocols, and AI-assisted software development.

You will own services with strict reliability, performance, and availability SLAs, operating at scale in a security-sensitive environment.

What you have

Key Responsibilities

Core Engineering

Design, develop, and maintain high-performance Java services supporting REST-based APIs.
Build cloud-native, horizontally scalable services deployed on Google Cloud Platform and/or other public cloud platforms.
Develop and secure APIs using OIDC, OAuth 2.0, and SAML-based authentication and authorization flows.
Implement API-first designs with strong contract discipline, backward compatibility, and understandability.

Scale, Performance & Reliability

Build and operate highly resilient systems with:

API latency SLA < 50ms
Throughput > 5,000 TPS
Availability 99.9%
Error budget < 0.1%

Design for fault tolerance, graceful degradation, and fast recovery.
Apply resilience patterns such as timeouts, retries, circuit breakers, bulkheads, and rate limiting.
Participate in production support, incident response, RCA, and continuous reliability improvement.

Cloud & Deployment

Use CI/CD pipelines for automated build, test, and deployment.
Own build deploy run lifecycle, including monitoring, alerting, and capacity planning.
Work with containerized workloads and modern deployment strategies (blue/green, canary, feature flags).

AI-Enabled Development

Actively use AI-assisted development tools (e.g., Copilot in agentic mode) to:

Accelerate feature development
Improve code quality and test coverage
Assist with refactoring, documentation, and troubleshooting

Champion responsible and effective AI usage as part of daily engineering workflows.

Collaboration

Partner with platform, security, SRE, and product teams to deliver end-to-end solutions.
Contribute to architecture reviews, design discussions, and technical decision-making.

Required Qualifications

4+ years Strong Java expertise with experience building production-grade services.
2+ years Hands-on API development experience, including RESTful services and API security.
Cloud deployment experience on Google Cloud Platform and/or equivalent cloud platforms.
2+ Solid experience with Access Management protocols:

OAuth 2.0
OpenID Connect (OIDC)
SAML

Proven experience building and operating high-criticality systems with strict SLAs.
Strong understanding of distributed systems, concurrency, and performance optimization and resiliency.
Experience with observability (metrics, logs, traces) and production troubleshooting.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90989465
Position Id: 6c5bbad4283fdea168fa13944ff89875
Posted 13 days ago

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