Intro

My list of items I want to learn or things I need to do (TODO, TODOs)

• X.509 certificates

• Learn to sign a message and detect when it has been modified.

• Obtain a certificate, explore it, install it in a Windows and Linux certificate store

To Read

• Find and read this paper: Secure and privacy enhanced email system as a cloud service

• Read and replicate this setup with Kubernetes, Azure ACI Deploying a Linux Python web application to Service Fabric via Docker Compose

• “Grokking the System Design Interview”

Tech To Learn

• Front-end technology: Javascript, Swift, Objective-C

• Server side technology: Python, Java, Node.js

• Modern web framework: React, Angular, Ember

• Hadoop, Hive, Spark, Kubernetes, TensorFlow, PyTorch, AirFlow.

• Solr, HDFS, Spark, Cassandra and Data Pipelines

• Objective C, Swift, C, or C++

• Familiarity with web technologies like JavaScript, HTML, and CSS

• QE automation frameworks for both frontend and backend applications, such as Cucumber, Selenium, Rest Assured, TestNG, SOAPUI

• Drupal content management system, Adobe Experience Manager and Amazon Web Services.

• Node/Javascript/React/HTML5/CSS/GraphQL/Java/Spring-Boot/Docker/Kubernetes/Kafka/GitLab.

• Develop Python applications using frameworks like Django, Pyramid or Flask

• Develop Python applications that integrate machine learning models

• Integrate various AWS managed services to develop application workflows

• Utilize AWS API Gateway and lambda to develop functions

• Develop data workflows using AWS Kinesis, Kafka, EMR, Glue, Athena

• Deploy machine learning models with AWS Sagemaker

• Build solutions to process alternative data from structured and unstructured sources

• Develop solutions to access datasets in AWS S3, Redshift, RDS (MySQL, PostgreSQL)

• Experience implementing and managing software quality systems and processes (e.g. in support of IEC-62304)

• Elasticsearch/Solr, Hadoop, Cassandra, Kafka, Ahana, Spark, or Athena.

• Several pieces of Segment’s core data pipeline, including Centrifuge, our message delivery system, run on Kubernetes

• We open sourced kubeapply, a lightweight tool for git-based management of Kubernetes configs

• We implement high performance software with Go, Kafka, Docker, Kubernetes.  We are heavy users of AWS.

• We automate CI/CD with technologies like BuildKite, and Terraform, and other technologies we create and curate.

• We love finding the best tools for the job at hand.  For example, we integrate Kafka into ClickHouse for high performance data aggregation queries and materialized views.

• We have a culture of quality focused on unit testing, automated end-to-end testing, canary deploys, game days, and high observability.

• We’re always deploying, and have sophisticated feature flagging (built on ctlstore).

• Hands on experience in QE automation frameworks for both frontend and backend applications, such as Cucumber, Selenium, Rest Assured, TestNG, SOAPUI etc. Experience creating multiple test frameworks from scratch.

• Distributed file formats, for example ones like Apache AVRO, Apache Parquet, Hadoop and common methods in data transformation

• Data visualization tools, for example ones like Tableau and Splunk

• Data storage tools, for example ones like HBase, Vertica, Cassandra, Oracle, Redshift, Apache Parquet.

• Data processing frameworks and tools, for example ones like Teradata, Apache Oozie and PySpark, Spark, Flume, Kafka, Yarn, S3

• Common big data programming languages, for example ones like Java, Python, Scala, Ruby, etc.

• Managing Pub-Sub system on top of open sourced Zookeeper/Kafka and contributing to the open source community. 

• The stack is React, CSS3, HTML5, TypeScript, Appollo/GraphQL. Experience in these technologies is not essential if you are familiar with other web technologies such as NodeJS, Asp.Net, Rails or Angular.

• Web Development / SPA experience with technologies such as  Angular / React / TypeScript

• Experience with big data services (Apache Spark, Flink, Beam) preferred

• Knowledge of Software Defined Networking (SDN), Overlay Network technologies (VXLAN, NVGRE & Geneve) and distributed systems is a plus.

• Engage with and drive disruptive technologies such as Container Network Interface (CNI), Network policy manager (NPM), Service Mesh, federation etc.

• cotlang j2e jetbrains java
  java8
  syntatic sugar
  aws
  angular react

• Background in ETL and data processing

• Experience with Python and the SciPy stack

• Expert-level SQL skills

• Drive a Well-Architected AWS culture with IaC and serverless automation using CDK, CloudFormation, and Terraform.

• Build architectural and DevOps expertise around common Flagship workloads such as bioinformatics pipelines, GWAS, computational chemistry, Datalake ETL, and ML transformer models.

• Deep understanding of state-of-the-art AI development methodologies and

• frameworks, including TensorFlow and PyTorch

• We operate on a modern tech stack including Angular, React, Ruby, PostgreSQL, Redis, Elastic search, AWS and Docker.

• Experience modeling data (PDM, LDM, Protobufs etc.), SQL and designing Data Abstraction Layers

• Extensive experience designing and implementing APIs (REST, GraphQL, gRPC)

• Experience with NATS, Kafka, ZeroMQ, RabbitMQ and other messaging platforms

• Good knowledge of UI/UX design & development using React, HTML5 & CSS

• Our stack includes: Python, Flask, Jinja, Docker, GCP, Terraform, Ansible, Memcached, Nginx,
  serverless backend services

• Specialties: Agile teams, Code reviews, code metrics, test automation, performance testing, microservcies, IoT, Java, javascript, C#, Perl, Unix/Linux/OSX, MySQL, MongoDB, Redis, REST APIs, Selenium, test driven development, code coverage, git, Ant/NAnt, Ruby on Rails, Rspec, Jira, AWS - EC2, Lambda, Kinesis Stream, Elastic Beanstalk, Redshift, DynamoDB

• This repository contains the source content and code for Kong's documentation website. It's built using Jekyll and deployed with Netlify.

• OpenResty^® is a full-fledged web platform that integrates our enhanced version of the Nginx core, our enhanced version of LuaJIT, many carefully written Lua libraries, lots of high quality 3rd-party Nginx modules, and most of their external dependencies.

• Tests for this site are written using rspec and capybara with the apparition driver.

• NGINX is open source software for web serving, reverse proxying, caching, load balancing, media streaming, and more. It started out as a web server designed for maximum performance and stability.

• Python, Java, Kotlin, and/or C++

• Experience with three or more of the following frameworks/libraries preferred: PyTorch, OpenCV, Keras, TensorFlow, Cuda, SciPy, NumPy, BoofCV

• Experience with low powered devices such as development boards: raspberry pi, Arduino, Coral, Jetson, etc. or mobile phones.