Job Requirements
Herndon, VA
Intel Agency (NSA, CIA, FBI, etc) CI Polygraph
Senior Level Career (10+ yrs experience)
Salary not specified
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Job Description
Candidates must already possess an active Top Secret/SCI w/ CI Polygraph to be considered (Springfield Customer).
Summary:
We are looking for a true "unicorn" engineer who thrives at the intersection of cloud infrastructure, full-stack development, and machine learning. You won't just be writing code or deploying servers. you will own the entire lifecycle. From architecting secure Kubernetes clusters and automating CI/CD pipelines to building React/Node.js applications and integrating Amazon SageMaker, you will touch every layer of our modern cloud-native stack.
Qualifications & Compensation:
• Degree: Technical bachelor's degree or equivalent experience
• Years of experience: 3+ years of Subject Matter Expertise
• Total Compensation: $376k+ yearly
Job Description:
• Design and implement enterprise-scale cloud infrastructure using AWS CDK and Infrastructure as Code principles.
• Architect and develop robust microservices architectures with focus on scalability, performance, and maintainability.
• Build and optimize data engineering pipelines for large-scale data processing and analytics workloads.
• Lead full-stack development initiatives using modern JavaScript/TypeScript and Python frameworks.
• Implement advanced cloud-native solutions leveraging serverless architectures and event-driven patterns.
• Drive technical excellence through code reviews, architectural decisions, and engineering best practices.
• Solve complex technical challenges across distributed systems and provide innovative solutions to business problems.
• Apply expertise in AWS, Software Architecture, Database Engineering, Dataflow, Javascript, Python, Software Development, Django, Apache Spark, Node.js, NPM, React.js, Vue.js, Angular.js, Restful Web Services, Amazon Kinesis, Cloud repository/Big Data, Streaming Analytics, DynamoDB, Amazon Redshift, Amazon Athena, Docker, Kubernetes, System Security, Machine Learning/Artificial Intelligence, Model Training, Amazon SageMaker, MongoDB, DevOps, Systems Engineering, Prometheus, Grafana, Technical Team Leadership, Agile/Scrum, Go, Java, C#.
About SYSTOLIC:
SYSTOLIC is dedicated to giving our employees the best possible company experience so that they can focus on providing outstanding support to their customer’s mission. Our company is founded on integrity, enthusiasm, and a relentless commitment to supporting the Intelligence Community. You can learn more about us and submit an application to be considered against our current and future openings at https://systolic.com.
To learn about our compensation ranges, visit our Pay Transparency page at: https://systolic.com/pay-transparency
Summary:
We are looking for a true "unicorn" engineer who thrives at the intersection of cloud infrastructure, full-stack development, and machine learning. You won't just be writing code or deploying servers. you will own the entire lifecycle. From architecting secure Kubernetes clusters and automating CI/CD pipelines to building React/Node.js applications and integrating Amazon SageMaker, you will touch every layer of our modern cloud-native stack.
Qualifications & Compensation:
• Degree: Technical bachelor's degree or equivalent experience
• Years of experience: 3+ years of Subject Matter Expertise
• Total Compensation: $376k+ yearly
Job Description:
• Design and implement enterprise-scale cloud infrastructure using AWS CDK and Infrastructure as Code principles.
• Architect and develop robust microservices architectures with focus on scalability, performance, and maintainability.
• Build and optimize data engineering pipelines for large-scale data processing and analytics workloads.
• Lead full-stack development initiatives using modern JavaScript/TypeScript and Python frameworks.
• Implement advanced cloud-native solutions leveraging serverless architectures and event-driven patterns.
• Drive technical excellence through code reviews, architectural decisions, and engineering best practices.
• Solve complex technical challenges across distributed systems and provide innovative solutions to business problems.
• Apply expertise in AWS, Software Architecture, Database Engineering, Dataflow, Javascript, Python, Software Development, Django, Apache Spark, Node.js, NPM, React.js, Vue.js, Angular.js, Restful Web Services, Amazon Kinesis, Cloud repository/Big Data, Streaming Analytics, DynamoDB, Amazon Redshift, Amazon Athena, Docker, Kubernetes, System Security, Machine Learning/Artificial Intelligence, Model Training, Amazon SageMaker, MongoDB, DevOps, Systems Engineering, Prometheus, Grafana, Technical Team Leadership, Agile/Scrum, Go, Java, C#.
About SYSTOLIC:
SYSTOLIC is dedicated to giving our employees the best possible company experience so that they can focus on providing outstanding support to their customer’s mission. Our company is founded on integrity, enthusiasm, and a relentless commitment to supporting the Intelligence Community. You can learn more about us and submit an application to be considered against our current and future openings at https://systolic.com.
To learn about our compensation ranges, visit our Pay Transparency page at: https://systolic.com/pay-transparency
group id: 10527119