Technology Architect | DevOps | Continuous integration - Java

Location: Austin, TX 78753 - need local candidates Pay Range: 30-35/hr on w2Should directly work on Artech w2IntroductionWe are seeking a skilled Software Engineer with extensive hands-on experience in Java, MongoDB, and Apache Spark. The role involves designing, building, and optimizing large-scale data processing systems and backend services. The successful candidate will work on high-throughput applications that process and analyze large datasets, collaborating closely with data engineering, product, and platform teams.Required Skills & Qualifications10+ years of experience in software engineeringStrong expertise in JavaExperience with Apache SparkProficient in MongoDBPrior work experience at client or in client’s industryApplicants must be able to work directly for Artech on W2Preferred Skills & QualificationsExperience in high-throughput application developmentKnowledge of large-scale data processing systemsFamiliarity with backend service optimizationDay-to-Day ResponsibilitiesWork independently and manage multiple tasks simultaneouslyAdapt to changing project requirements and prioritiesDevelop innovative solutions to complex problemsCompany Benefits & CultureFull-time onsite work in Austin, TXCollaborative and dynamic work environmentOpportunities for professional growth and developmentFor immediate consideration please click APPLY to begin the screening process with Alex.

• 10+ years of experience in software engineering
• Strong expertise in Java
• Experience with Apache Spark
• Proficient in MongoDB
• Prior work experience at client or in client’s industry
• Applicants must be able to work directly for Artech on W2, * Experience in high-throughput application development
• Knowledge of large-scale data processing systems
• Familiarity with backend service optimization

Day-to-Day Responsibilities

• Work independently and manage multiple tasks simultaneously
• Adapt to changing project requirements and priorities
• Develop innovative solutions to complex problems