April 30, 2026For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.
Iselin,, New Jersey9 days ago
We are seeking a Lead Protocol Engineer to help build a cutting-edge Digital Asset Platform focused on solving one of the biggest challenges in institutional finance—delivering regulatory compliance while preserving transaction confidentiality. Cryptographic Engineering- Implement and optimize privacy-preserving cryptographic primitives including:
- Pedersen Commitments .
White Plains, NY2 days ago
They will collaborate across IT daily to implement Infrastructure as Code (IaC), manage and provision systems and services, and optimize costs and security across major platforms like Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP). Our client - a major utility firm based out of Westchester County, NY - has an immediate need for a Cloud Infrastructure Engineer.
li>At this level, impact comes from building repeatable systems and raising the engineering bar: better experiment quality, better telemetry, safer rollouts, and clearer business outcomes — delivered through pragmatic execution and deep technical judgment. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 - $331,200 per year.
ul>Experience building systems or services related to vulnerability management, data encryption, key management, secret management, user authentication, service authentication, authorization systems, and security policy enforcement. Unlike traditional Product security roles, this position is for a software engineer who wants to solve security challenges at scale by building production-grade services, libraries, and frameworks.
p>While these experience and characteristics are not prerequisites, candidates who possess them would be well-suited for the role: - Experience building systems or services related to vulnerability management, data encryption, key management, secret management, user authentication, service authentication, authorization systems, and security policy enforcement.
Unlike traditional Product security roles, this position is for a Senior software engineer who wants to solve security challenges at scale by designing and building production-grade services, libraries, and frameworks.
There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year. We’re looking for a hands-on ML engineer to prototype and productionize complex classification flows on real production logs, operate prompted classifiers at scale (ad hoc and scheduled), and build secure, compliant data-labeling pipelines.
li>Embody our Culture and Values. . - Bachelors Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling or data engineering work
- OR Masters Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, or data engineering work.
STAND 8 provides end to end IT solutions to enterprise partners across the United States and with offices in Los Angeles, New York, New Jersey, Atlanta, and more including internationally in Mexico and India. STAND 8 provides end-to-end IT solutions to enterprise partners across the United States and globally with offices in Los Angeles, Atlanta, New York, Mexico, Japan, India, and more.
ul>Masters Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python- OR Bachelors Degree in Computer Science or related technical field AND 15+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. This role demands a rare blend of deep backend engineering expertise, mastery of modern consumer identity protocols, and the ability to make sound trade-offs between risk and velocity—keeping Copilot moving fast while raising the security and reliability bar.
There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year. - Bachelors Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, or Python
- OR equivalent experience.
ul>Masters Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python- OR Bachelors Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. You’ll design and implement AI-driven trend detection, cohort analysis, and drill-down workflows that connect metrics to real user conversations, developing AI based insights on large scale multi modal Copilot data part of the Microsoft AI (MAI) organization.
Kforce has a client in Brooklyn, NY that is seeking a Senior Software Engineer to join a collaborative, cross-functional team focused on building and enhancing customer-facing support solutions. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs.
This role combines full stack engineering with modern AI technologies, focusing on developing scalable applications and intelligent features that improve developer productivity and system performance. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs.
Jersey City, NJ9 days ago
li> Strong Python software engineering experience building and maintaining production-grade libraries, services, and platforms; Linux, scripting, and automation required (Java/Groovy a plus). Experience building and operating cloud-native systems on AWS, including core services and managed ML platforms (e.g., SageMaker); Azure or GCP exposure beneficial.
Jersey City, NJ2 days ago
Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers.
Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers.
li> Proven experience with Microsoft Azure services (App Services, Azure Functions, Azure DevOps, Azure Storage, Azure SQL). Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs.
Jersey City, NJ2 days ago
Kforce's client, a leading financial firm in Jersey City, NJ, is seeking a Principal Software Engineer (Algorithmic Trading System, Java) to play a key role in building a world-class trading system in an innovation-driven environment. Summary: As a Principal Software Engineer (Algorithmic Trading System, Java), you will work closely with industry experts, deepen your technical expertise, and deliver complex, high-performance systems used globally.
Jersey City, NJ9 days ago
li> Providing business requirements and translate them into detailed designs, consider the best strategy to ensure design meets performance, security, usability, and reliability and scalability requirements. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs.
We’re looking for machine learning engineers with experience applying state-of-the-art machine learning and modeling techniques, including natural language processing, anomaly detection, optimization, and time series forecasting, across different product areas. You’ll lead experimentation with new modeling approaches and strategies, collaborate closely with engineers on ingesting signals and productionizing models, and help build the next wave of cash flow based underwriting.
You will also be responsible for maintaining and enhancing existing machine learning systems through feature development, retraining strategies, and robust monitoring frameworks, including metrics, alerts, and dashboards that ensure model performance, reliability, and long-term health. You will leverage Plaid’s unique datasets to identify high-impact opportunities for machine learning, develop proofs of concept to validate new approaches, and build MVP solutions that demonstrate customer value.
li>PhD: 5–9+ years of industry experience with evidence of technical leadership (tech lead, principal/staff-equivalent roles) and end-to-end production ownership. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use.
p>To be successful as a Network Engineer - AVP, you should have experience with: Hands-on experience designing, deploying, and operating network security solutions across one or more domains: firewalls, IDS/IPS, proxy services, remote access, NAC, and network segmentation. Production Network Engineering operates within the Network Product Design & Engineering domain and is responsible for the design, build, and run of strategic network infrastructure platforms and connectivity services.
Kforce has a client in Jersey City, NJ that is seeking a Staff Software Engineer (Low Latency Trading) to play a key role in the architecture, design and development of a next-generation global electronic trading platform. The Staff Software Engineer will build scalable, high-performance systems that support algorithmic trading, smart order routing (SOR), and real-time market data processing.
As a key member of a cross-functional team, you will collaborate closely with product managers, designers, UX specialists, and business stakeholders to define problems, validate ideas, and deliver scalable, high-quality software solutions. This role offers the opportunity to work at the early stages of product development-shaping solutions that address critical business challenges such as grid modernization, customer engagement, operational efficiency, and sustainability.
The ideal candidate has experience with DB2 LUW, DB2 z/OS, or DB2 for i, along with migrations to Azure SQL Managed Instance, Azure SQL Database, Azure Synapse Analytics, Azure Data Factory, or Azure Data Lake Storage Gen2. This role is responsible for assessing source environments, converting database objects, migrating data, resolving compatibility issues, validating outputs, and supporting production cutover to Azure platforms.
p>By combining trusted insight with expert guidance, Later removes guesswork from influencer marketing, enabling brands to choose the right creators, execute fully managed campaigns, and drive meaningful growth across awareness, engagement, and revenue. Built on a native, AI-powered platform and more than a decade of proprietary data—including billions of social interactions, impressions, and $2.4B+ in verified influencer-driven purchases—Later helps teams understand what will work before they launch.
p>By combining trusted insight with expert guidance, Later removes guesswork from influencer marketing, enabling brands to choose the right creators, execute fully managed campaigns, and drive meaningful growth across awareness, engagement, and revenue. Built on a native, AI-powered platform and more than a decade of proprietary data—including billions of social interactions, impressions, and $2.4B+ in verified influencer-driven purchases—Later helps teams understand what will work before they launch.
p>By combining trusted insight with expert guidance, Later removes guesswork from influencer marketing, enabling brands to choose the right creators, execute fully managed campaigns, and drive meaningful growth across awareness, engagement, and revenue. Built on a native, AI-powered platform and more than a decade of proprietary data—including billions of social interactions, impressions, and $2.4B+ in verified influencer-driven purchases—Later helps teams understand what will work before they launch.