Required Skills

Microservice Java Lambda

Work Authorization

  • Us Citizen

  • Green Card

  • EAD (OPT/CPT/GC/H4)

Preferred Employment

  • Corp-Corp

  • W2-Permanent

  • W2-Contract

  • 1099-Contract

Employment Type

education qualification

  • UG :-

  • PG :-

Other Information

  • No of position :- ( )

  • Post :- 12th Jan 2021

JOB DETAIL

Hi Friend's,

I am Austin from Mirth Consulting Services. I would like to update you on open positions of AWS Architect. Appreciate if can send me your updated resume and expected Rate range for this job opportunity.

Role: AWS Architect 
Duration: Long term   
Location: SFO, CA

 
mandatory skills 
Architect 
Java Microservices 
Lamda 

Skillset required:
Study existing technology landscape and understand current application workloads Understand and document technical requirements from clients Define Migration strategy to move application to cloud
Develop architecture blueprints and detailed documentation. Create bill of materials,including
required Cloud Services (such as EC2, S3 etc.) and tools;
Design the overall Virtual Private Cloud VPC environment including server instance, storageinstances, subnets, availability zones, etc
Design the AWS network architecture including VPN connectivity between regions andsubnets
Design the HA / DR strategies
Set up process, services and tools around cloud
Oversee build of the environment
Execute migration plan
Leverage appropriate AWS services
Validate the environment to meets all security and compliance controls
Provide top-quality solution design and execution
Provide support in defining the scope and sizing of work
Align the organization’s big data solutions with their Client initiatives as requested
Engage with clients to understand strategic requirements
Responsible for translating business requirements into technology solutions
Work with domain experts to put together a delivery plan with and stay on track
Utilize AWS & Big Data technologies to design, develop, and evolve scalable and fault-tolerant.
Responsible for the design and execution of abstractions and integration patterns (APIs) tosolve complex distributed computing problems.


Requirements: 
Bachelor’s Degree or MS in Engineering or equivalent In depth knowledge of key AWS services like EC2, S3 etc
Proven experience assessing clients workloads and technology landscape for Cloudsuitability,develop business case and Cloud adoption roadmap
Proven knowledge of AWS platform and tools
Experience in defining new architectures and ability to drive project from architecturestandpoint
Knowledge of best practices and market trends pertaining to Cloud and overall industry toprovide thought leadership (seminars, whitepapers etc.,) and mentor team to build necessarycompetency
Ability to quickly establish credibility and trustworthiness with key stakeholders in clientorganization
Experience provisioning and spinning up AWS Clusters
Experience to build scalable production systems (load balancers, memcached, master/slave architectures
Excellent verbal, written and presentation skills.

Technology Requirements:
 Knowledge of AWS and cloud technologies are must like AWS Glue, EMR, S3, Lambda, streaming platforms, data lakes patterns and security setup.

 Applicants are required to have knowledge in Big Data Tools and Technologies in following
areas: Linux Expertise, Ec2, Big data and Hadoop Ecosystem, working knowledge of tools like
Hive, Spark, Kafka, Streaming platform, Oozie, HDFS etc.

 Required to have and development skills in scripting language such as Java, Scala, Python
or shell scripting, AWS Lambda.

 Design and Develop Understand Cloud end2nd design and various architectural
components for a pipeline. Able to do develop and orchestration of data flow pipeline with SQL or scripting.

In addition to technical skills, need to possess knowledge of various phases of softwaredevelopment life cycle in cloud and source control tools like GitHub.

Ability to work with large data sets: Big Data involves large data sets, so applicants must beable to work with highly diverse data in multiple types and formats, and sources in cloud.

Knowledge or experience in setting up data lake and data lake principles. 
Good to have AWS Certification and any other architecture achivements
 

Company Information