Senior Systems Engineer: Mission-Critical Data & Storage

TalentOps; Annapolis (MD); In loco; USD 180.000 - 240.000; Tempo pieno

Vantaggi offerti da questo lavoro

PTO 6 weeks per year

401(k) with company contributions

Medical insurance

Dental insurance

Vision insurance

Flexible schedule

Descrizione del lavoro

TalentOps is seeking an experienced Systems Engineer to lead planning and execution of complex, mission‑critical programs with high-volume data processing and distributed storage. You will drive design, integration and optimization while ensuring compliance with security directives and policy standards.

The role requires leadership across cross-functional teams, deep knowledge of COTS/GOTS integration, and distributed algorithms in a federal context. On-site with flexibility for customer needs.

Competenze

• Active TS/SCI clearance with Polygraph.
• 20+ years of systems engineering experience on large, complex programs.
• Bachelor’s degree in System Engineering, CS, IS, or related discipline; 5 years may substitute for a degree.

Mansioni

• Lead full lifecycle Systems Engineering efforts from requirements to deployment.
• Define performance, availability, scalability, security requirements for large programs.
• Plan and integrate secure, compliant solutions per federal directives.
• Lead agile and/or spiral development to deliver high-quality components.

Conoscenze

Systems engineering

Distributed storage

Big data

Leadership

Agile development

Formazione

Bachelor's degree in a related field

Strumenti

Hadoop

HDFS

HBase/Accumulo

SAN

Data warehouses

Descrizione del lavoro

TalentOps is seeking an experienced Systems Engineer to lead planning and execution of complex, mission‑critical programs with high-volume data processing and distributed storage. You will drive design, integration and optimization while ensuring compliance with security directives and policy standards.

The role requires leadership across cross-functional teams, deep knowledge of COTS/GOTS integration, and distributed algorithms in a federal context. On-site with flexibility for customer needs.