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IOT Architect - Boston, United States - ALIS Software LLC
Description
Hi,
Greetings
If you are interested with the below job role then please reply with Updated resume and Contact details o –
Role: IOT Architect
Location: Boston MA
Model: Day 1 On-site
Type: Contract
Duration: Long Term
Roles & Responsibilities
Assessment of AWS platform running IOT based payloads that is supporting 3.3 million users and identify technical debt in the current state.
Understanding the current state of the Platform and current Automation
Understand and document application architecture, technology landscape, current deployment cycle and activities performed.
Understand and document the current tooling set up and integration of various pipelines for in-scope application and publish a report on the same.
Review the code for quality, security, scale and stability for the in-scope applications.
Evaluate continuous delivery, monitoring, configuration management, security within DevOps pipelines and create a back log to implement continues delivery pipes using DevOps principles.
Review existing build and release process and also understand the continuous testing set-up for both functional and non-functional testing.
Review test data and environment set-up process.
Review current tools and infrastructure set-up for DevOps and recommend improvements.
Identify current Service Level Indicator (SLI) / Service Level Objectives (SLO) and measure the current availability and reliability.
Identify the metric to monitor to ensure appropriate reliability.
Define how to calculate the SLI for the metrices.
Set a target as the SLO to compare against during use.
Define steady state as a measurable output for normal behavior of the platform.
Build a hypothesis around steady state behavior to scale for supporting 2x growth to around 7.5 million user bases in next 2 years
Need to identify availability 9s for the platform and draw a road map to achieve Shark Ninja target (99.99%)
Risk Analysis of the current platform to understand the break point.
Introduce variables that reflect real world events for identification of risk points, breaking points due to increase load and define the point of failure.
Build resilience to scale
