For the given job description <<Role: Senior Software Engineer
Type: Full-Time

As a Senior Software Engineer, you'll lead modern tech projects using Java, Docker, and data modeling.

What You'll Do:
Define product architecture with leadership.Translate business needs into technical solutions.Mentor junior engineers for scalable cloud apps.Stay updated on evolving technologies.What We're Looking For:
5+ years in Java (11 or 17+) development.AWS Cloud Platform architecting.Data modeling, relational, and NoSQL database skills.Microservices, Docker, Kubernetes proficiency.Python programming and GITGITOPS experience.Innovative, collaborative mindset.Strong communication and passion for sustainability.BSMS in software engineering or related field.Shape a sustainable future with us. Apply for Senior Software Engineer now.>> the resume: <<Professional SummaryHighly skilled software development professional bringing more than 4 years in software design, development and integration.
 Offering advanced knowledge of cloud components, data ingestion, and Java/Python/JavaScript programming languages.
SkillsPython, Java, HTML, CSS, JavaScript;Application Frameworks: GCP BigQuery, Pub/Sub, Apache Beam, k8s, Stackdriver, Grafana, Tableau, Sumo Logic, DataDog, New Relic, Apigee, Angular, Node.js, Spring, Spring MVC, Spring Boot, Spring Data, Spring Cloud, Netflix OSS,JPA, Maven, Tomcat, Hibernate, Express, Redis, PostgreSQL, MongoDB, Docker, RESTful API, Nginx, TensorFlow, NLP,React, Git, Apache Bench, PostmanApacheAPICookingCSSDatabaseDebuggingDeliveryEngineerETLFunctionalGCPHTMLJavaJavaScriptLeadershipLogicDirectorMarketMongoDBMVCNLPOSSPostgreSQLPricingProgrammingProgressPythonQualityExpressReal-timeSoftware developersTableauTablesTomcatWorkshops
Work HistorySoftware Developer,12/2018-CurrentMaxar Technologies Ltd–Reston,VA,Designed and deployed the first data ingestion pipeline on Google Cloud Platform (GCP) by using Cloud Pub/Sub, Cloud
 Dataflow, Cloud DataPrep, BigQuery, and Stackdriver to collect, store and monitor event data streaming; The ingestion
 pipeline helps data scientist team on collecting the order level data/events, IoT devices status without touching production
 database and support real-time data collecting
 Designed and implemented ingestion service and schemas store by using TypeScript; The ingestion service and schemas
 store helped the entire team automatic generating unpacking pipeline and secondary table for all internal consumers
 Designed and implemented JavaScript SDK & ingest URL to publish events from backend service, IoT devices, and 3rd
 party service; Using JWT token as Authorization, Apigee as API key management tool
 Collaborated with data scientists team to collect requirements of demand prediction models and delivered ETL tables by
 using BigQuery Apache Beam(dataflow) and Cloud Dataprep; Supported 2 data scientist/engineer team, 4 ML models
 including order preparation, dynamic pricing, etc
 Implemented KPI dashboards for cross-functional leadership to monitor data growth weekly and for 4-5 teams of data
 scientists to monitor data ingestion and data quality daily.Used Tableau and Grafana to build data models and visualize data
 hosting millions of daily data entries
 Led a team of 4 software developers to collect user requirements from the factory operations team, translated the business to
 technology need to the services team and ensured consensus, spearheaded the build of Grafana dashboard to track time-series
 metrics from IoT device.The dashboard was used by the factory team to monitor progress and by the cross-functional data
 scientist team to build on models
 Built IoT device alerting and monitoring system prototypes by ingesting data, customizing Apache Beam job to run and
 normalize data, and created real-time alerting functions with zero delay; collaborated with 2 PMs to understand user
 requirements, owned the end-to-end prototype build in 2 weeks, demoed in front of 10+ director-level board members
 Decoupled and migrated the monolithic backend service to microservices by using Node.js, RESTful API
 Designed and implemented the Market microservice and database to support food cooking and delivery service by using
 PostgreSQL, Knex, RESTful API, Express.js, and Typescript
 Onboarded 100+ incoming software developers nationwide; revamped and expanded knowledge transfer document,
 conducted workshops and 1:1s to help new joiners set up and understand environments, owned debugging and answered
 questions.Programmer,03/2016-12/2018New Jersey Institute Of Technology–Newark,NJ,Designed and implemented an Auto-Test-System(ATS): handle the entire process including design, development,
 implementation, and integration
 Designed test packages (data checker, autographing tool, auto-input-data-file module, testing interface, and results checker)
 based on different standard requirements, ensure accuracy and sustainability of test results.
EducationMaster of Science:,Expected in05/2014-Syracuse University-Syracuse,NYGPA:Status-Bachelor of Science:Electrical, Electronics Engineering Technologies,Expected in07/2011-Inner Mongolia University of Science & Technology-,GPA:Status-
SkillsPython, Java, HTML, CSS, JavaScript;AApplication Frameworks: GCP BigQuery, Pub/Sub, Apache Beam, k8s, Stackdriver, Grafana, Tableau, Sumo Logic, DataDDog, New Relic, Apigee, Angular, Node.js, Spring, Spring MVC, Spring Boot, Spring Data, Spring Cloud, Netflix OSS,JJPA, Maven, Tomcat, Hibernate, Express, Redis, PostgreSQL, MongoDB, Docker, RESTful API, Nginx, TensorFlow, NLP,RReact, Git, Apache Bench, Postman,Apache, API, cooking, CSS, database, debugging, delivery, engineer, ETL, functional, GCP, HTML, Java, JavaScript, leadership, Logic, director, Market, MongoDB, MVC, NLP, OSS, PostgreSQL, pricing, Programming, progress, Python, quality, Express, real-time, software developers, Tableau, tables, Tomcat, workshops>>. The result is, Good Fit

Fit assessment: Good Fit