Available
jobs

Data engineer

Qualification:
Master's Degree in Statistical Analytics, Data Science, or Bachelor's Degree in computer science engineering will be considered with at least three - five years of applicable work experience

Preferred Proficiency:

  • Web development experience (AngularJS, D3).
  • Experience in a statistical programming language like R or Python; applied machine learning techniques including dimensionality reduction strategies, supervised/unsupervised classification and natural language processing frameworks.

  • Experience in at least one data visualization tools (e.g. Tableau, QlikView) and data warehousing tools (e.g. Informatica) is preferred

Huge Advantage:

  • Building and scaling Machine Learning frameworks
  • Hadoop (Hive, Spark, UDF's)

Definite Plus:

  • Web development experience (AngularJS, D3).

Experience:

  • 5+ years of relevant experience in one of the following areas: Data engineering, database engineering, business intelligence or business analytics.
  • 5+ years of hands-on experience in writing complex, highly-optimized SQL queries across large data sets.
  • 2+ years of experience in scripting languages like Python etc.

Cloud engineer

Qualification:
BA/BS degree in Computer Science or related technical field, or equivalent practical experience.

Preferred Proficiency:

  • Experience with DevOps tools such as Chef, Ansible, Docker, Kubernetes.
  • Extensive experience in setting up AWS/AZURE Infrastructure

Huge Advantage:

  • Good understanding and some hands on experiences with cloud computing platforms: AWS, Azure, Google Cloud, etc.
  • Scripting experience in one or more of the following languages - Python, Bash, Ruby, Perl

Definite Plus:

  • Experience in application development or system analysis

Experience:

  • 5 – 7 years overall experience
  • 3+ years leveraging Azure and AWS platform services

Lead DevOps consultant

Qualification:
Bachelor's degree in Computer Science preferred or equivalent experience. MS degree desired.

Preferred Proficiency:

  • Experience with Chef, Puppet, Salt, or Ansible in production environments with many nodes.
  • Familiarity with CloudFormation and JSON.
  • Strong scripting skills, i.e., Powershell, Python, Bash, Ruby, Perl, etc.
  • Knowledge of IP networking, VPN's, DNS, load balancing and firewalling.
  • Familiarity with any monitoring tools like Nagios, Splunk, SiteScope, ELK stack etc.

  • Experience with revision control source code repositories (Git, SVN, Mercurial, Perforce).
  • Management of continuous integration servers like Jenkins, Bamboo and TeamCity.
  • Experience with automated testing tools (ie. Selenium, JMeter).
  • Understanding and experience with code deployment (tagging).
  • Understanding of Service-Oriented Architecture (SOA and REST).

Huge Advantage:

  • Knowledge on Machine learning models and Intelligent DevOps

Definite Plus:

  • Client facing and client management experience

Experience:

  • 10+ years of experience in information Technology
  • 5+ years of experience performing DevOps consulting and/or filling a DevOps role within an organization
  • 5+ years of infrastructure and/or development background
  • 2+ years of architecting solutions in some capacity

Database Engineer

Qualification:
BA/BS degree in Computer Science or related technical field, or equivalent practical experience.

Preferred Proficiency:

  • Strong Scripting experience in BASH,PYTHON, AWS CLI
  • Implement performance tuning on existing databases to improve efficiency.
  • Ability to train database administrators with new tools

Huge Advantage:

  • Experience with Amazon Aurora
  • Experience in installing, configuring, troubleshooting, and tuning Tomcat or WebLogic application servers.

Definite Plus:

  • Oracle database (11g/12c) administration supporting design, installation, configuration, development, integration and implementation.
  • Testing of Oracle database services in a complex environment with multiple classification enclaves and integrated with DoD C2 systems utilizing associated information assurance processes/procedures.

Experience:

  • 8+ Years of IT experience
  • At least 3 years experience in Database systems
  • At least 2 years experience in Analytics

DevSecOps Engineer

Qualification:
Master Degree in Computer Science or Bachelors Degree in Computer Science

Preferred Proficiency:

  • Design solutions and policies in AWS Cloud Policies
  • Using log monitoring tools such as ELK stack.

Huge Advantage:

  • Proficiency in AWS CLI, BASH and Python
  • Maintaining security in Kubernetes container technology.

Definite Plus:

  • Ability to build tools to check compliance in general purpose languages such as Java/Python/Ruby

Experience:

  • 4+ experience in managing cloud resources in AWS/Azure environment
  • 7+ experience in Devops following infrastructure as code best practices.
  • 2+ experience writing policies implementing security best practices maintaining compliance as Security Engineer

If you qualify for any of these positions, please send your resume at hr@stacklogy.com

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