Senior Full-Stack Systems Engineer [$344k/yr+] TS/SCI-FS Poly

SYSTOLIC, INC.

Herndon, VA, United States

about 2 months ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Compensation

$344,000.0

Working hours

Regular working hours

Job source

www.clearancejobs.com

Tech stack

Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Amazon Web Services Microsoft Azure Bash Shell BigQuery CentOS Cloud Computing Databases Continuous Integration Linux

+51 more

DevOps Domain Name System (DNS) Amazon DynamoDB Elasticsearch Middleware Github Apache Hadoop Identity and Access Management Python (Programming Language) PostgreSQL Machine Learning Microsoft SQL Server MongoDB MySQL NoSQL Octopus Deploy Oracle (Applications) Public Key Infrastructure Windows PowerShell Scrum Methodology Systems Development Life Cycle RabbitMQ Red Hat Enterprise Linux Redis Logstash Ansible Prometheus Runbook Amazon Simple Notification Service (SNS) SQL Databases Web Services Scripting Load Balancing System Availability Snowflake Grafana Firewalls (Computer Science) Gitlab Cloudformation Gitlab-ci Kubernetes Cassandra Cloudwatch Kibana Amazon Simple Queue Service (SQS) Terraform Splunk Devsecops Docker Jenkins Databricks

Job description

Lead full-stack systems engineering across infrastructure, platforms, cloud, and application ecosystems.
Design future-state architectures and execute complex system implementations.
Integrate systems and platforms with DevOps/DevSecOps pipelines.
Requires expertise in Kubernetes, Docker, Linux, PKI, AWS, Azure, Oracle, PostgreSQL, MySQL, SQL, MongoDB, Cassandra, DynamoDB, Redis, APIs, web services, SQS, SNS, RabbitMQ, Terraform, Ansible, Python, Bash, PowerShell, CloudFormation, Jenkins, GitLab, ArgocD, Prometheus, Grafana, Splunk, Elasticsearch, Kibana, Logstash, CloudWatch.
Preferred experience includes AI/ML, Hadoop, Databricks, Snowflake, BigQuery, and Agile methodologies., * Perform full-stack systems engineering across network, compute, storage, OS, middleware, databases, and applications.
Document “as-is” architectures and develop detailed “to-be” designs.
Lead cloud and on-prem implementations, migrations, upgrades, and modernization initiatives.
Ensure system availability, scalability, performance, security, and compliance.
Integrate systems and platforms with DevOps/DevSecOps pipelines.
Troubleshoot complex, cross-domain issues.
Collaborate with infrastructure, platform, software, DevOps, and data teams.
Produce technical documentation, diagrams, standards, and runbooks.
Serve as an escalation point and technical authority.
Communicate effectively with executives and cross-organizational partners.
Ability to produce “as-IS” and “to-be” architectures plus implementation/Integration plans.
Enterprise networking, firewalls, load balancers, DNS.
SAN/NAS/Object storage.
Kubernetes, Docker.
Linux (RHEL/CentOS) administration, hardening, automation, Bash, Python.
PKI and identity management.
Cloud platforms: AWS, Azure, or GCP; Hybrid and on-prem integration, cloud networking/security/cost optimization.
Relational & NoSQL databases (Oracle, PostgreSQL, MySQL, SQL Server, MongoDB, Cassandra, DynamoDB, Redis).
APIs, web services, middleware, SDLC fundamentals.
Event messaging (SQS, SNS, RabbitMQ).
IaC, automation, and scripting (Terraform, Ansible, Python, Bash, PowerShell, CloudFormation).
CI/CD tools (Jenkins, GitLab CI/CD, GitHub Actions, ArgoCD).
Security best practices and system hardening.
Monitoring/observability tools (Prometheus, Grafana, Splunk, Elasticsearch, Kibana, Logstash, CloudWatch).
Agile/Scrum, DevOps.
Machine Learning/Artificial Intelligence, Hadoop, Databricks, Snowflake, BigQuery (preferred).