We are looking for a Senior Midtier Engineer in our San Jose location.
This is a contract to hire opportunity.
RESPONSIBILITIES Write user level stories and subtasks with your manager and the product management team.
Execute these via designs and high quality implementations in Java and/or Python.
Focus on solutions that deliver non functional requirements around performance, scalability, security, high availability, monitorability, debuggability and other such concerns.
Be responsible for Security and related implications.
Evaluate new technologies and build prototypes for continuous improvements Advocate best practices and standards Be able to debug production problems around Garbage Collection issues and/or code issues via use of a profiler such as VisualVM or YourKit, via analyzing thread dumps.
REQUIREMENTS BS or MS in Computer Science or a related field 5+ years experience as a Server side engineer.
Very Strong real world experience with Cloud Based Infrastructure: AWS (and the very many services it offers). Definitely EC2, S3/Glacier, EBS, EFS, Route53, RDS, SNS/SES/SQS, ElasticSearch, AI services etc.
to name a few.
Very strong in Java (Idioms, Patterns, Collections, Concurrency, Memory-Model, Executor Framework, NIO) and uptodate i.e.
well versed with Java-8 capabilities around "functional" capabilities and several others.
Familiarity with Scala and/or Python is desirable.
Frameworks: Strong familiarity with Spring Framework, Workflow and Job Management frameworks (e.g.
Oozie, Azkaban etc,), Log4J Application Servers: Nginx/Apache and Tomcat expertise is needed.
DataStores and Data Access : Familiarity with JDBC, DAO, ORMs such as Hibernate and SQL.
Familiarity with NoSQL stores is highly desirable.
CI/CD Practices: Strong expertise with Git, Jenkins (or other CI tools), Unit Testing and Integration Testing.
Architecture : Strong in terms of server-side architecture, SOA, Microservices, Swagger etc.
Must have Strong Object Oriented Programming knowledge along with Algorithms, Data Structures, Design Patterns and Performance Optimization techniques.
AI: Knowledge of Apache NLP/Stanford NLP and/or other NLP/ML techniques and some familiarity with AWS services (Rekognition, Comprehend, Lex, Polly etc.) is useful.
Excellent Written and Oral Communication Skills.
Process oriented and familiar with Git, Agile, Scrum, Standups and the Atlassian suite of products.
Ability to deliver specific and actionable code reviews.
Ability to debug problems in production quickly.
Ability to work as part of a collaborative team in a fast-paced environment.
Mentoring capabilities to mentor junior engineers and ensure their professional growth.
Motivated and responsible individual who strives to exceed expectations Sincere interest in working at a maturing startup and scaling with the company as we grow.
NICE TO HAVE Experience with another Cloud Provider such as GCP and/or Azure.
Experience or interest in supply chain domain.
Experience with Hadoop and Spark Clusters.
If interested, kindly send resumes to
Talent Space, Inc.