Prime Time Consulting provides clients with expert intelligence analysis services. Our clients include defense contractors, industrial and service corporations, and departments and agencies of the U.S. Federal Government.
We are actively searching for Cloud Software Engineer Skill Level 2, located in Maryland, to support our team. We have varying levels of this position, depending on years of experience and education.
Essential Job Duties
- Provide cloud software research, development, and engineering services to include requirements analysis, software development, installation, integration, evaluation, enhancement, sustainment, testing, validation, and issue diagnosis/resolution.
Additional Job Duties
- Design, implement, integrate and test new features and capabilities for cloud native service offerings. These systems must be able to run in a hybrid cloud model using containerization, container orchestration, and function based (such as server-less) technologies.
- Understands the basics of versioning tools such as but not limited to Git.
- Design, implement, integrate and test new features and capabilities for cloud native service offerings. These systems must be able to run in a hybrid cloud model using containerization, container orchestration, and function based (such as server-less) technologies.
- Conduct containerization and container deployment training sessions, which include hands-on software configuration and programming exercises.
- Develop web-based user interfaces to support search and presentation of operational data and develop web services that provide REST-based APIs.
- Work with pub/sub technologies (e.g., Kafka, NATS, or RabbitMQ) within container orchestration and other similar cloud vendor environments.
- Work with automation technologies (e.g., Ansible, Bash, or Go) within container orchestration or other similar cloud vendor environments.
- Work with metrics and monitoring technologies (e.g., Prometheus, Grafana) within container orchestration or other similar cloud vendor environments.
- Work with logging and monitoring technologies (e.g., Fluentd, ElasticSearch, Kibana) within container orchestration or other similar cloud vendor environments.
- Work with cloud package managed systems (e.g., yum repos, helm repos, binary repos) within orchestration or other similar environments.
- Work with multiple cloud vendors as well as private cloud industry solutions (e.g., Kubernetes, AWS, Azure).
- Work with cloud package managed systems (e.g., yum repos, helm repos, binary repos) within orchestration or other similar environments.
- Work with multiple cloud vendors as well as private cloud industry solutions (e.g., Kubernetes, AWS, Azure).
- Work with SQL, noSQL, and in memory databases as well as S3 compatible object store technologies (e.g. Minio) within container orchestration or other similar cloud vendor environments.
- Work with and deploy CI/CD pipelines (e.g., Jenkins or GitLab) within orchestration or other similar cloud vendor environments.
Required Qualifications
- Four (4) years' experience software engineering experience in programs and contracts of similar scope, type, and complexity is required; two (2) years of which must be in programs utilizing Big-Data Cloud technologies and/or Distributed Computing.
- Bachelor's degree in Computer Science or related discipline from an accredited college or university is required.
- Two (2) years of cloud software engineering experience on projects with similar Big-Data systems may be substituted for a bachelor's degree.
- Master in Computer Science or related discipline from an accredited college or university may be substituted for two (2) years of experience.
- Cloudera Certified Hadoop Developer certification may be substituted for one (1) year of Cloud experience.
The following Cloud related experiences are required:
- Two (2) years of Cloud and Distributed Computing Information Retrieval (IR).
- One (1) year of experience with implementing code that interacts with implementation of Cloud Big Table.
- One (1) year of experience with implementing code that interacts with implementation of Cloud Distributed File System.
- One (1) year of experience with implementing complex MapReduce analytics.
- One (1) year of experience with implementing code that interacts with Cloud Distributed Coordination Frameworks.
Company Perks
- 200 hours of PTO annually
- 6% 401k Contribution
- Competitive Health Care Options
- Short Term/Long Term/Life Insurance
- Annual Training Budget
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, sex, age, national origin, disability, Veteran status, or any other category protected by federal, state, or local laws.
The pay range for this role is:120,000 - 150,000 USD per year(PTC - MD)
Equal employment opportunity, including veterans and individuals with disabilities.
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