ShorePoint is a fast-growing, industry recognized, and award-winning cybersecurity services firm with a focus on high-profile, high-threat, private and public-sector customers who demand experience and proven security models to protect their data. ShorePoint subscribes to a work hard, play hard mentality and celebrates individual and company successes. We are passionate about our mission and going above and beyond to deliver for our customers. We are equally passionate about an environment that supports creativity, accountability, diversity, inclusion, and a focus on giving back to our community.
The Perks:
As recognized members of the Cyber Elite, we work together in partnership to defend our nation s critical infrastructure while building meaningful and exciting career development opportunities in a culture tailored to the individual technical and professional growth. We are committed to the belief that our team members do their best work when they are happy and well cared for. In support of this philosophy, we offer a comprehensive benefits package, including major carriers for health care providers. Highlighted benefits offered: 18 days of PTO, 11 holidays, 80% of insurance premium covered, 401k, continued education, certifications maintenance and reimbursement, etc.
Who we're looking for:
We are seeking a Site Reliability Engineer who has experience providing support in a dynamic, fast-paced environment within the public sector. This is a unique opportunity to shape the growth, development, and culture of an exciting and fast-growing company in the cybersecurity market. The Site Reliability Engineer will have the opportunity to be exposed to all aspects of support to a federal client and will be encouraged to grow as the organization expands.
What you'll be doing:
- Execute the technical action items to successfully achieve deployment and sustainment of product components.
- Support the deployment and implementation of cyber engineering strategies, tools, and techniques which contribute to enhancing cybersecurity posture.
- Analyze recommended improvements to engineering requirements and specifications.
- Provide design, engineering and deployment support for distributed cloud-based environments consisting of multiple COTS tools and custom integration packages.
- Support the full system engineering life cycle, including requirements analysis, design, development, integration, test, documentation, and implementation.
- Configure and maintain observability and monitoring solutions to ensure system health and performance.
- Perform data analysis for anomalies and trends, analyzing system performance, identifying bottlenecks, and implementing solutions to enhance overall system reliability and scalability.
- Build, implement, and administer one or more COTS products in Windows and Linux environments.
- Create, manage, and support automation solutions for deployment and orchestration in cloud environments.
- Engage in all agile ceremonies including backlog grooming, demos and retrospectives.
What you need to know:
- Experience in Linux administration, networking, and security principles.
- Experience in containerization technologies (Docker) & orchestration platforms (Kubernetes).
- Expertise with Infrastructure as code tools (Terraform).
- Expertise with Configuration Management (ideally Ansible).
- Experience in operating distributed systems.
- Experience with Cloud providers (AWS, Azure, Google Cloud Platform).
- Experience building and maintaining CI/CD pipelines.
- Familiarity with monitoring and observability tools and best practices.
Must have's:
- 5-7 years of relevant experience.
- Strong written and verbal communication skills.
- Strong documentation skills.
- Strong problem-solving skills and ability to troubleshoot complex system issues.
- Ability to work with cross functional teams in an agile environment.
- Proficient in scripting languages such as Python.
- Ability to obtain agency required clearance.
Beneficial to have the following:
- BS in Computer Science, Information Systems, Mathematics, Engineering, related degree or an additional 3-5 years of relevant experience.
- Industry related certifications.
- Experience with data processing technologies including Apache Kafka and Elasticsearch.
Where it's done: