958 Saic jobs in New Jersey

Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline
8+ years (typically 10+) building and operating production platforms and services at scale
Deep software engineering expertise in Python and distributed systems
A track record of building production‑grade services, libraries, and internal platforms
Linux fluency and scripting are required
Cloud platform leadership (AWS) —hands-on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS—and experience shaping platform patterns that other teams adopt
Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial
DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git‑based workflows), containerization (Docker), release governance, and multi‑environment promotion for ML‑enabled workloads
Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post‑mortems) for ML serving and data/feature pipelines
ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use—without a research or modeling focus
Cross‑org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes
Set platform strategy and standards for ML packaging, deployment, serving, and observability—driving consistent adoption across squads and business units
Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production
Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services
Advance model/data observability—tooling for data and feature drift detection, prediction‑quality monitoring and uncertainty signals, and automated diagnostics/ explainability
Lead cross‑platform incident response and post‑mortems, drive systemic fixes, and evolve standards to prevent recurrence—across applications and the platform
Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale
Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long‑term platform roadmap
The base salary range for this position is $107,000-216,000 USD per year.
Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.

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(DoD SkillBridge), Sr. Specialist, Systems Engineer

L3Harris Technologies

Camden, NJ 08103

OnsiteBilingual Preferred

A Bachelor's Degree in an engineering discipline
At least 6+ years' experience in Systems Engineering of Information Assurance systems/products
Active US Government security clearance (DOD SECRET minimum)
US Citizenship required
Excellent verbal and written communications skills; works with others to coordinate efforts, influence and resolve cross-team issues and effectively communicate changes.
A complete understanding of the systems engineering process from concept phase through systems test. Must be adept at: Architecture Development, Functional Analysis, Requirements Allocation & Traceability, Trade-off Studies, System Synthesis and System Evaluation (Integration & Verification Testing).
Proven track record of success and experience in the architecture, design, analysis, integration, and test of NSA Approved Type 1 Certified systems or equipment.
O Ability to act as a single Subject Matter Expert (SME) for Information Assurance, Security, and Cryptography.
O Exceptional security architecture development skills; specifically including the ability to make complex design trade-offs affecting system security
O Experience negotiating security requirements with NSA Technical Evaluators.
O Experience with NSA TSRD, IASRD, and FSDA requirements and processes.
O Experience with development of NSA Security Evaluation Document (SED) CDRLs.
O Working knowledge of Type 1, Suite A, Suite B, and Commercial Cryptographic algorithms (Symmetric and Asymmetric).
Willingness to travel up to 10% of time

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SALES ASSOCIATE in PASSAIC, NJ S20570

Dollar General

Passaic, NJ 07055

No Experience

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Aviation Operations & Support

U.S. Navy

Pompton Lakes, NJ 07442

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We're hiring! Radar, RF, SW, EE, and HW Engineering Opportunities

Lockheed Martin

Moorestown, NJ 08057

Flexible Schedule

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Quality Manager

Dwyer Instruments

Swedesboro, NJ 08085

Onsite

Associates Degree in a technical field required;
Minimum 3 years of management experience in a quality-focused role.
Minimum 2 years of direct experience in quality assurance.
Working knowledge of ISO 9001 and related standards.
Proficient in Microsoft Excel, Word, and Outlook.
Ability to sit at desk for long periods of time
Moderate lifting (up to 50 pounds) as needed.
Dexterity for operating a computer, tools, and office equipment.
Mobility to stoop, kneel, bend, grasp, twist, and reach.
Occasional exposure to industrial environments, including dust, fumes, chemicals, and loud noise.

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