Software Engineer 4

What You’ll Do

• Design, develop, troubleshoot, and debug software programs for enhancements and new products.
• Implement new customer requirements and features in our existing application.
• Maintain and enhance existing code base by investigating and resolving problem areas.
• Demonstrate, clearly communicate, and present solutions through clear documentation, flowcharts, and well-structured code.
• Collaborate with cross functional teams to design and develop software programs.

We are seeking a team player who can be part of a software development team, while being able to effectively communicate with cross-functional and global teams. Candidate should be adaptable, open to learning and eager to contribute to collective goals.

Who We’re Looking For

Required Qualifications:

• Advanced Level experience (10+ years) with Java programming language.
• Expertise in java multi-threading and tuning of Java processes.
• Experience in writing code that can handle Big Data and large files.
• Experience with RDBMS systems.
• Experience with Spring Boot, Spring Batch.
• Experience with using message brokers Kafka and/or MQTT.
• Deep understanding of API and technologies like REST, JSON, XML, message queues and integration pattern/frameworks.
• Rigor in high quality code, automated testing, and other engineering best practices, ability to write reusable code components.
• Attention to detail and strong organizational skills.
• Analytical and problem-solving aptitude.
• Strong verbal and written communication skills in order to effectively communicate technical details.
• Quick grasp of technical information and requirements.
• Excellent planning and organization skills, with a commitment to delivering on deadline.
• Ability to work concurrently on several projects, each with specific instructions that may differ from project to project.
• Ability to work in a collaborative environment as well as independently with minimal supervision.

Nice to Have:

• Experience using Solr.
• Experience in data processing (ETL).
• Experience with Docker/Kubernetes, Prometheus.
• Knowledge of Machine Learning libraries and exposure to Data Mining.
• Working experience on Hortonworks Data Platform(HDP)/Cloudera Data Platform (CDP).

Our Commitment

We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.

Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.

Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories – On-site Flex and Virtual Flex. ‘On-site Flex’ you’ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. ‘Virtual Flex’ you’ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.