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Job Description: What We're Doing Here at Lockheed Martin Rotary and Mission Systems (RMS) we take on the biggest and baddest challenges in the world. We seek out innovative ideas and creative solutions to seemingly impossible problems facing our customers in the Integrated Warfare Systems & Sensors (IWSS) organization. We collaborate with the best Radar engineers in the business across the Moorestown, NJ and Syracuse, NY sites to invent solutions where they don’t exist yet. We keep pushing the boundaries of Electronic Protection solutions to stay ahead of the adversary in the ever-evolving game of cat-and-mouse that is Electronic Warfare. If you’re looking for the challenge of a lifetime on a team of the brightest minds in the world, then Rotary Mission Systems and the Electronic Protection team is the place for you. If you’re looking for life-long learning and a career where the hard work is the fun part, then you’re in the right place. Lockheed Martin. Your Mission is Ours. The Work In your role as a Senior Systems Engineer – Radar Electronic Protection, you will: • Develop models and/or detailed simulations to support system design evaluation., • Conduct data analysis to assess system performance., • Write verification plans and test procedures showing traceability to system and software specifications., • Support integration and test, evaluate test results, investigate discrepancies, provide technical assessment of anomalies, and drive issues to resolution., • Conduct system verification and support certification activities., • Participate in landmark reviews of Radar System products with internal and external customers, program and senior leadership, and multi-disciplinary engineering teams., • Mentor junior engineers and share knowledge of Electronic Protection concepts. Who We Are Our Electronic Protection team of systems engineers and sensor architects all working together to deliver quality designs and cutting-edge capabilities to our customers. We support a broad array of Radar products and customers including the Missile Defense Agency, US Navy, Air Force, US Army, Space Force, and foreign partners including Japan, Canada, Spain, Norway, Australia, UK and more. Radar at Lockheed Martin Who you are If you enjoy a technical challenge that will get you thinking outside the box. If you seek a collaborative environment working with other motivated engineers. If you like getting your hands dirty in architecting new designs, digging into the nuances of algorithm performance, developing novel models, supporting live testing of tactical systems, or anything in between. If you’re ready to take on the complexities of an ever-evolving adversary driving new Electronic Protection designs, then this is the place for you. Why Join Us At Lockheed Martin we value your unique skills and expertise, and we aim to give back continuously by offering a wide variety of benefits and amenities to help our employees live flexible, healthy, and fulfilling lives at and outside of work. Some of our favorite perks include: Learn more about Lockheed Martin's comprehensive benefits package here! Explore some of the cutting‑edge technologies we support: ___ #REAS Qualifications: • Bachelor’s degree or higher in Electrical Engineering, Computer Science/Engineering, Physics or equivalent combined with 5 years of related experience., • Functional knowledge of Radar Systems., • Demonstrated experience in one or more of the following areas: system analysis, architecture, requirements development, trade studies, modeling and simulation, or integration and test., • High proficiency in C++ or Matlab or Python., • U.S. Citizen with ability to obtain or maintain a DoD Secret level clearance.

Job Title: Software Engineer - Media Platform (Python/AWS) Location: New York, NY Work Mode: Onsite Responsibilities: • Develop and maintain highly scalable, high performance and highly available systems., • Write well tested, efficient, and readable code., • The code should also be strongly structured with a view to reusability., • Ensure that all deliverables follow best practices around source control, CICD., • Manage individual project priorities, deadlines, and deliverables., • Ensure that solutions are in line with the other deliverables of the team and produce documentation so that others learn from and contribute to the work. Attend and contribute to meetings; complete tasks as assigned by supervisor. To be successful in this role, the right software developer will have: • Bachelor’s degree in computer science or a related discipline or equivalent experience., • 3+ years writing production code in Python. Familiarity with C# a plus., • 3+ years production experience with AWS. Certifications a big plus, • Proficiency in designing and interacting with NoSQL databases (DynamoDB)., • Experience with relational databases (MSSQL, PostgreSQL) a plus., • Proficiency building serverless systems with ephemeral compute (e.g., AWS Lambda, ECS) and orchestration (e.g., AWS Step Functions)., • Proficiency building event-driven architectures with message queues, topics., • Proficiency identifying applicability of design patterns and implementing them., • Proficiency using AI assisted coding tools and agents such as Cursor, Claude Code, or CoPilot., • Solid understanding of source control (git), unit testing, test driven development, CICD., • Knowledge of defining, packaging, and deploying cloud resources in CDK strongly preferred., • Knowledge of deploying and managing services in Kubernetes is strongly preferred., • Knowledge of building AI apps on platforms such as Bedrock/Vertex AI/Azure AI and familiarity with frameworks and tools such as LangChain, vector databases, PyTorch/TensorFlow is strongly preferred., • Familiarity with the agile process (stand ups, planning, estimating, and demoing), • Excellent written and verbal communication skills. Mandatory Skills : Python, AWS Lambda

Our Client which is a large Payroll Firm is urgently looking for Sr. Full Stack Python Developer Sr. Full Stack Python Developer Location: Roseland, NJ Long Term Contract. Hybrid - 3 days at office Sr. FS Python – Python, Fast API, React, Django, Flask, Java Script, AWS. AI-ML Face to Face Interview is required. We are seeking an experienced Senior/Lead Software Developer to join our team and drive technical excellence across our full stack applications. This role requires a versatile engineer with minimum 5 to 6 years of experience who can architect solutions, mentor team members, and deliver high quality software across multiple technology stacks. About the Role This position offers the opportunity to work on challenging problems at the intersection of traditional software engineering and modern AI capabilities. You'll be instrumental in shaping our technical direction while building products that leverage the latest cloud and AI technologies. Required Technical Skills Backend Development Python: Advanced proficiency in Python development, including frameworks like Flask/FastAPI/Django Apache Airflow: Experience building and managing data pipelines and workflow orchestration API Design: RESTful APIs, GraphQL, microservices architecture Database: SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB, Redis) Frontend Development React: Advanced React.js development with modern hooks, state management (Redux/Context API) JavaScript/TypeScript: Strong ES6+ and TypeScript skills UI/UX: Responsive design, component libraries, modern CSS frameworks Cloud & AI AWS: Hands on experience with core AWS services: Compute: EC2, Lambda, ECS/EKS Storage: S3, RDS, DynamoDB Integration: API Gateway, EventBridge, SQS/SNS AI/ML Integration: Experience integrating AI models, LLMs, or ML services into applications Infrastructure as Code: CloudFormation, Terraform, or CDK Development • Build robust backend services using Python., • Develop responsive, user-friendly frontend applications with React, • Implement and maintain data pipelines using Apache Airflow, • Integrate AI/ML capabilities into applications - Nice to Have, • Deploy and manage applications on AWS infrastructure, • Write comprehensive unit, integration, and end-to-end tests Mentorship & Collaboration • Mentor junior and mid-level developers, • Collaborate with product managers, designers, and stakeholders, • Participate in agile ceremonies and sprint planning, • Document technical designs and system architecture, • Share knowledge through tech talks and documentation Qualifications Required • Lead professional software development experience, • Strong proficiency in Python and at least one other backend language (Java/.NET), • Proven experience with React and modern frontend development, • Hands on AWS cloud experience, • Experience with Airflow or similar workflow orchestration tools, • Understanding of AI/ML concepts and integration patterns, • Strong problem-solving and debugging skills, • Excellent communication and collaboration abilities, • Bachelor's degree in computer science or equivalent experience Preferred • Experience with CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions), • Knowledge of containerization (Docker, Kubernetes), • Experience with monitoring and observability tools (CloudWatch, Datadog, New Relic), • Familiarity with LLM integration (OpenAI, Anthropic Claude, AWS Bedrock), • Agile/Scrum experience

Posting Type Remote/Hybrid Job Overview As an Advanced Security Engineer focused on Endpoint Security, you will design, build, and operate security controls that protect Relativity's employee endpoints and the enterprise systems they access. You will help establish hardened, standardized, and measurable endpoint security foundations that reduce risk while preserving productivity, partnering closely with IT and Security teams to deliver securebydefault device experiences. This role blends handson software engineering with systemlevel security ownership in a modern cloud environment. Job Description and Requirements Role Responsibilities * Design, implement, andoperateendpoint security controls across laptops and mobile devices * Build automation and tooling to enforce secure configuration baselines and reduce manual effort * Partner with IT on device management, deployment, and lifecycle security * Reduce enterprise risk by hardening devices, limiting standing privilege, and improving visibility * Participate in incident response and endpointrelated investigations in partnership with Cyber teams * Continuously improve endpoint security posture using metrics, telemetry, and risk insights Minimum qualifications: * Bachelor's in Computer Science, Information Security, or equivalent experience. * 2+ years of commercial experience in software developmentand scripting(C#, Python,Javaor other general-purpose modern programming language) with a solid understanding of computer science fundamentals, including algorithms and data structures * Experience securing andoperatingmanaged endpoints at scale * Familiarity with modern device management and endpoint protection concepts * Ability to translate security policy into automated, enforceable controls * Comfort working across teams to deliver secure outcomes without friction * Experience with cloud technologies(preferably Azure),DevSecOpspractices, and automation tools (e.g., GitHub Actions). * Growth mindset and eagerness to learn across engineering and securitydomains. * Ability to take feedback and strive for continual improvement. Preferred qualifications: * Experience securing cloud-native applications / SaaS solutions and networks. * Familiarity with vulnerability scanning and threat protection. * Relevant certifications: * Microsoft Certified: Azure Security Engineer Associate (AZ-500). * Microsoft Certified: Identity and Access Administrator Associate (SC-300). * Knowledge of Zero Trustprinciplesand compliance standards (e.g., GDPR, HIPAA). * Exposure to other cloud platforms(AWS, GCP). Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives. The expected salary range for this role is between following values: $104,000 and $156,000 The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Required Skills: Endpoint Security, Network Security, Penetration Testing, Security Architecture Design, Security Automation, Security Information, Security Information and Event Management (SIEM), Security Operations, Threat Modeling, Vulnerability Management

Company Overview KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us. Job Description/Preferred Qualifications With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design through greater chemical process control is KLA's ECI Technology division. ECI is an industry leader of in-process chemistry control, providing the precision of analysis the industry requires for consistent wafer quality while reducing chip feature size. Advanced wafer design drives the need for precision with reliability; ECI strives to lead the design of analytical equipment which can withstand the rigorous demands of the chemical processes for damascene, wafer-level packaging, clean and wet etch processes, with our Prima, Libra, Quanta and QualiSurf product lines. Successful Product Development Engineer will work in the System Engineering group based in Totowa, NJ.You will be working in the Engineering Technology team to conceptualize, develop and test the next generation of devices which will be used to advance our chemical analysis technology. This is a wide-ranging requirement which covers aspects from microfluidic dispensing to spectrophotometric measurements. This role will involve requirements analysis, theoretical evaluation on the capabilities of available technologies, identification of the gaps and definition of the actions required to close those gaps, conceptual design, and requirements of new devices if existing technologies are not a fit and testing of the designs with reports generated to support the conclusions. Communication skills are important, there are requirements for communication with suppliers and the internal KLA groups. Job Definition: * Work with Applications, R&D and engineering to define requirements and develop specifications for the chemical analysis process. * Develop improvement plans and test plans required to meet our requirements, drive the vendors to execute those plans. * Evaluate and test to validate materials used for devices or new designs, to determine compatibility to the chemistry used in the application. * Conceptualize and bring to fruition new device designs when none exist. Define the requirements, gaps that the device fills, error budget and constraints. * Work with mechanical, electrical and software engineering groups to define and review designs and test plans. Create and execute test plans and perform analysis to validate device or system performance. Troubleshoot system and subsystem issues and work with various subsystem teams to find and implement solutions. * Support internal and external customers in implementing processes to build and use the tool effectively and optimize tool performance. Lead advanced troubleshooting efforts in manufacturing and in the field * Occasional domestic and international travel will be required (<20%) Preferred Qualifications: * Master's Level Degree and 0 years related work experience; Bachelor's Level Degree and related work experience of 2 years. * Experience with electrical design ecosystems such as OrCAD PCB, Altium, PADS, or Eagle; exposure to SI/PI or simulation tools is a plus. * Familiarity with AC power distribution, industrial equipment cabling, interlocks, and serviceability-driven design. * Exposure to PLC/control systems, motion control, sensors, and system-level debug of integrated mechatronic equipment. * Comfortable building and executing test plans, analyzing data, and reporting conclusions (MATLAB/Python/LabVIEW experience is a plus in our environment). * Strong collaboration and communication skills for cross-disciplinary execution and vendor engagement. * Experience supporting products through manufacturing/field life cycle and writing crisp, usable documentation Minimum Qualifications Master's Level Degree and 0 years related work experience; Bachelor's Level Degree and related work experience of 2 years Base Pay Range: $85,600.00 - $145,500.00 Annually Primary Location: USA-NJ-Totowa-KLA KLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave. Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process. KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at ___ or at +1-408-352-2808 to request accommodation. Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched ___ for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to ___ to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

Role: Senior Software Engineer Duration: 6+ months (Temp to Perm Hire) Location: Newark, NJ - Hybrid (3 days onsite per week) About the Opportunity: Are you interested in building capabilities that enable the organization with innovation, speed, agility, scalability and efficiency? The Global Technology team takes great pride in our culture where digital transformation is built into our DNA! When you join our organization, you'll unlock an exciting and impactful career - all while growing your skills and advancing your profession at one of the world's leading financial services institutions. Your Team & Role: As a Senior Software Engineer on the Group Insurance team, you will partner with product owners, tech leads, designers, engineers and delivery professionals to improve and enhance our Onboarding Platform. You will code, test and debug new and existing applications as you implement capabilities to solve sophisticated business problems, deploy innovative products, services and experiences to delight our customers! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership attitude and a continuous learning focus to all that you do. What You Can Expect on a Typical Day: • Build applications ensuring that the code follows latest coding practices and industry standards, using modern design patterns and architectural principles; actively code against the roadmap, • Develop high quality, well documented and efficient code adhering to all applicable client's standards., • Collaborate with product owners in understanding needs and defining feature stories, tech leads in defining technical design and other team members to understand the system end-to-end and deliver robust solutions that bring about business impact., • Write unit, integration tests and functional automation; research problems discovered by quality assurance or product support, developing solutions to address the problems., • Bring an applied understanding of relevant and emerging technologies, identify opportunities to provide input to the team and coach others, and embed learning and innovation in the day-to-day., • Work on complex problems in which analysis of situations or data requires an in-depth evaluation of various factors., • Bachelor of Computer Science or Engineering or experience in related fields., • Leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization, • Experience with agile development methodologies and Test-Driven Development (TDD), • Knowledge of business concepts, tools and processes needed for making sound decisions in the context of the company's business, • Ability to learn new skills and knowledge on an on-going basis through self-initiative and tackling challenges, • Programming Languages: Python, Java or JavaScript; distributed systems, object oriented programming, design patterns and design methodology; Java services using Spring CLI, Maven, Microservices, multi-threading, concurrency and parallel processing, • Frameworks: React, Spring Boot, Node.js (Full / MEAN / MERN stack), • Data Store: NoSQL or Relational Data structures; MongoDB; BPM tools, • Data Streaming: SQS, Kinesis, • APIs: Consumption & Development; implementing service oriented architecture (SOA) patterns; REST, JSON, SOAP, XML, JDBC, MySQL, • Testing: Unit, interface and end user testing concepts and tooling (functional & non-functional); automated testing, • Accessibility: Accessibility awareness and compliance, • Security: Secure coding, web application security and DevSecOps; authentication, authorization, encryption, digital signatures, JWT, SSL, web service proxies, firewalls, SAML 2.0, OpenID Connect, OAuth2.0, • DevOps Tools & Practices: Branching techniques and usage of GitHub, Bitbucket or Subversion; DevOps, Jenkins, • SDLC: Monitoring and logging techniques, • AWS Development, • Architecture Patterns, • Design Thinking, • Financial / Insurance industry knowledge is a plus, not a must

Job Title: DevOps Engineer - GitHub Actions Specialist Location: Newark, NJ (Hybrid) Duration: 9 Months As a DevOps professional, you will be supporting our mission of enabling developers to build applications: easier, faster, and safer. You will bring development experience, technical wisdom, and mentorship to the team. You and team are responsible for the delivery of DevOps solutions to solve business challenges. To understand business needs and organizational-wide impact, you will need to establish partnerships with teams and roles access the organization. *NOTE: For this role we are looking for a GitHub actions expert! This candidate must have committed to OSS projects on GitHub * Here is What You Can Expect on a Typical Day? • Developing quality, secure, testable, and scalable software, • Participate in Agile ceremonies to synchronize the team members, • Collaborating with the team when facing challenges or sharing discoveries, • Engage stakeholders in technical discussions and architectural design decisions, • Outreach to business stakeholders for feature feedback, • Ensure proper fit and implementation of 3rd party products, • Identify challenges, escalate concerns, and propose solutions The Skills & Expertise You Bring, • Bachelor of Computer Science or Engineering or experience in related fields?, • Broad knowledge of software languages, frameworks, and architecture paradigms, • Experience API design and development, • Project management capability to ensure ownership and successful delivery, • Collaboration with peers and teams across the company to leverage diverse ideas, experiences, and perspectives, • Thought leadership in DevOps & emerging industry trends, • Experience with Agile development practices and methodologies, • Ability to learn new skills and knowledge on an on-going basis through self-initiative and tackling challenges? Technical Proficiencies:, • Languages: Python, Type/JavaScript, Shell/Scripting, HCL, Groovy, • CI/CD Orchestration: GitHub Actions, Jenkins, CloudBees, • IaC/CasC: Terraform, CloudFormation, Ansible, • AWS: Lambda, DynamoDB, SQS, SNS, EventBridge, IAM, • Containers: EKS, Docker, ECS, ACA, • Observability: Splunk, Dynatrace, Cribl, OpenTelemetry Preferred Qualifications, • Financial/Insurance industry experience, • Large-scale enterprise DevOps experience, • Familiarity with test automation, • Familiarity with security testing (SAST, SCA, DAST, etc)

Job Locations US-NJ-Paramus ID 2026-1947 Category Information Technology Type Regular Full-Time The AI Engineer, Biz Ops will build the AIpowered services that form the backbone of our decisionintelligence platform. In this role, you will take AI models developed by AI Scientists and transform them into scalable, productionready applications by designing inference pipelines, APIs, and supporting data flows. You will work closely with Data Engineers to integrate model pipelines with the broader data ecosystem and collaborate with business operations and commercial teams to convert manual, step-driven workflows into AInative services. This includes building reliable batch and realtime inference systems that generate measurable impact across business operations-not limited to any specific domain. This is a highimpact role for engineers who enjoy turning research into products, hardening systems for realworld use, and building the engineering layer that enables AI to operate at scale. While not required, an interest in or exposure to MLOps practices is strongly preferred. Productionize AI/ML models into scalable services (e.g., APIs, batch inference, streaming inference) with strong standards for reliability and performance. • Collaborate with AI Scientists to convert research prototypes into productionready components (feature computation, preprocessing, post-processing, evaluation loops)., • Integrate models with data pipelines built by Data Engineers and ensure seamless endtoend flow from raw data to AIdriven output., • Build and maintain inference pipelines using Python and orchestration frameworks (e.g., Airflow), supporting deployment across cloud and onprem environments., • Implement CI/CD, containerization, and automated testing to ensure safe, repeatable, and automated model deployments., • Establish monitoring and observability for models and services (system metrics, data drift, performance regression, alerting)., • Partner with BizOps and Commercial stakeholders to transform manual workflows into AIenabled services that improve operational decisionmaking., • Optimize end-to-end model serving latency, throughput, and cost using packaging strategies, scaling policies, caching, and parallelization., • Contribute to documentation, reusable templates, and engineering best practices to accelerate AI adoption across the organization., • Education: Bachelor's degree or higher in Computer Science, Engineering, or related technical field., • Experience: 3+ years of software engineering experience, including building or deploying AI systems in production environments., • Skills:, • Strong proficiency in Python for services, pipelines, and ML tooling., • Experience deploying AI models in production across onprem or cloud environments (AWS or Azure)., • Experience with bigdata and orchestration frameworks (e.g., Spark, Airflow) for scalable pipelines., • Strong understanding of software engineering best practices including CI/CD, containerization (Docker, Kubernetes), automated testing, and version control., • Experience with model optimization techniques such as ONNX / ONNX Runtime, model quantization, or other performanceoriented inference tooling. Strongly Preferred • Interest or exposure to MLOps concepts (model registries, feature stores, experiment tracking, automated retraining, monitoring)., • Master's degree or higher in a relevant field., • Experience in regulated industries (e.g., biopharma, healthcare, and finance)., • A portfolio of launched AI/ML projects or contributions to production of AI systems., • Proficiency in SQL and familiarity with modern data warehouses such as Snowflake. Who Thrives in This Role • Engineers who enjoy transforming research into resilient, userfacing products., • Builders who balance rapid iteration with productiongrade engineering standards., • Collaborators who can partner with business teams to convert manual workflows into scalable AI services., • Pragmatic problemsolvers who can operate autonomously and drive impact in ambiguous, crossfunctional settings.

Job Locations US-NJ-Paramus ID 2026-1946 Category Information Technology Type Regular Full-Time The Senior Data Engineer, Biz Ops will play a critical role in architecting the data infrastructure powering our AI-driven business operations platform. This role is responsible for analyzing the current database environment, redesigning it for AI-native use cases, and establishing the foundational data architecture for our end-to-end decision-intelligence platform-driven business operations platform. This role is responsible for analyzing the current database environment, redesigning it for AI-native use cases, and establishing the foundational data architecture for our end-to-end decision-intelligence platform.driven business operations platform. This role is responsible for analyzing the current database environment, redesigning it for AInative use cases, and establishing the foundational data architecture for our endtoend decisionintelligence platform. You will design scalable data ecosystems-including Data Lakes, Data Pipelines, and semantic modeling layers-using modern engineering standards (dbt, orchestration frameworks, CI/CD). Working closely with commercial and business operations experts, you will dissect existing workflows and reimagine them as AI-ready, streamlined processes in collaboration with AI Scientists and AI Engineers. You will translate ambiguous operational and business challenges into clean, reliable, ontology-aligned data models that enable forecasting, planning, and optimization across the value chain, beginning with supply chain operations. This is a high-impact senior role for someone who thrives in owning a data ecosystem end-to-end and building AI-centric data infrastructure from the ground up-aligned data models that enable forecasting, planning, and optimization across the value chain, beginning with supply chain operations. This is a high-impact senior role for someone who thrives in owning a data ecosystem end-to-end and building AI-centric data infrastructure from the ground up.aligned data models that enable forecasting, planning, and optimization across the value chain, beginning with supply chain operations. This is a highimpact senior role for someone who thrives in owning a data ecosystem endtoend and building AIcentric data infrastructure from the ground up. Analyze existing databases and redesign them for AI/ML readiness, including ontologydriven and semantic data modeling. • Architect and implement centralized Data Lake and scalable, robust data pipelines supporting operational workflows and AIdriven decision processes., • Build and maintain highquality data transformations using dbt and enforce software engineering best practices across the data stack., • Design featureready data models to support AI/ML use cases such as forecasting, classification, and optimization., • Develop secure and reliable data ingestion frameworks (batch and streaming) with strong observability and performance controls., • Partner with Commercial, Marketing, and AI teams to translate business problems into data requirements, semantic models, and scalable pipelines., • Implement data quality, lineage, and governance practices aligned with enterprise standards., • Lead technical direction on modern data stack architecture and continuously improve scalability, efficiency, and maintainability., • Contribute to an agile, experimentationdriven culture, balancing rapid PoC execution with longterm architectural integrity., • Education: Bachelor's degree or higher in Computer Science, Engineering, or related field., • Experience: 5+ years of hands-on experience in Data Engineering or technical Analytics Engineering, with deep experience building data lakes and orchestrating complex pipelines., • Skills:, • Strong programming proficiency in Python and PySpark for largescale distributed data processing, data manipulation, automation, and pipeline development., • Expertlevel SQL for data modeling, complex transformations, and performance optimization., • Experience with modern data lake table formats such as Apache Iceberg., • Familiarity with Medallion Data Architecture (Bronze/Silver/Gold) for scalable and governed data processing., • Handson experience with modern transformation frameworks (e.g., dbt) and orchestration tools (e.g., Airflow or Python-based schedulers)., • Knowledge of core AWS or Azure data services and data observability practices., • Experience optimizing data models for BI and visualization tools (e.g., Tableau)., • Ability to define business metrics and derive semantic meaning from operational KPIs. Strongly Preferred • Master's degree or higher in a quantitative or technical field., • Experience working with ML pipelines (e.g., MLflow, Feature Stores) and collaborating with AI Scientists/Engineers., • Knowledge of ontologybased modeling, semantic layers, and modern data architectures (e.g., Data Mesh, Data Fabric)., • Experience with Graph Databases (e.g., Neo4j) for semantic modeling, ontology alignment, or operational knowledge graphs., • Domain experience in Supply Chain Management (SCM), BizOps, RevOps, or Commercial Operations., • Experience in regulated industries (e.g., biopharma, healthcare, finance)., • Experience in a BizOps or highly crossfunctional technical role., • Handson experience with Snowflake architecture. Who Thrives in This Role • Someone who enjoys owning a data ecosystem endtoend and building from zero to one., • A strategic thinker who balances strong technical depth with understanding of real business context., • An engineer who thrives in close collaboration with Commercial and AI teams to define how data powers decisions., • A builder comfortable operating in a fastpaced, startuplike environment where innovation and speed matter., • An "Agile Operator" who can rapidly prototype for PoCs while architecting for longterm scalability and reliability.

Global Financial Firm located in Jersey City, NJ has an immediate contract opportunity for an experienced Software Python Engineer Pay rate range: $ 87. Requirements: PhD or master’s degree in computer science, Data Science, Statistics, Mathematics, Engineering or related field.

Global Financial Firm located in Jersey City, NJ has an immediate contract opportunity for an experienced Python Software Engineer Pay rate range: $ 81. Requirements: PhD or master’s degree in computer science, Data Science, Statistics, Mathematics, Engineering, or related field. Proficiency in Py

Role - Machine Learning Expert (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our premier client. About Adidev Technologies Inc. Adidev Technologies,() is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company – we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence: Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: * Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. * Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. * Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. * Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. * Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. * Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. * Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. * Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. * Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. Requirements: * Degree in Computer Science, Engineering, Statistics, or a related technical field. * Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains. * Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings. * Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems. * Strong foundational understanding of algorithmic complexity and data structure optimization. * Excellent problem-solving, collaboration, and communication abilities. * Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI. * Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. * Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects. * Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn). * Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures. * Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices. * Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team. * Ensure all AI implementations are compliant with ethical guidelines and data privacy standards. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. We provide support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? We invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Knowledge of AI safety, alignment, and responsible AI practices. Background in specific domains such as natural language processing, computer vision, or multimodal AI. Designs and implements generative AI models including large language models, multimodal systems, and specialized domain-specific mod

Lead AI Engineer for Banking Technology Discover your future at Citi Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact. Job Overview Lead AI Engineer, Banking Technology – C14 (SVP Level) (Hybrid) Role Overview We are seeking an AI‑first Lead AI Engineer to define, architect, and deliver enterprise‑scale AI solutions for Investment, Corporate, and Commercial Banking. This role combines deep hands‑on technical leadership with architectural ownership, driving the adoption of LLMs, agentic workflows, and generative AI platforms to improve efficiency, automation, simplification, and risk reduction. The Lead AI Engineer will shape both technical delivery and AI-first engineering culture, partnering closely with multiple technology and business teams. Key Responsibilities End‑to‑End AI Leadership: Lead the design, hands‑on implementation, and deployment of scalable agentic AI and generative AI solutions for high‑impact business use cases. Agentic Architecture: Architect advanced agent‑based systems (perception, reasoning, planning, execution), integrating multiple LLM providers (OpenAI, Anthropic, Google). Full‑Stack AI Engineering: Build and deliver production‑grade, full‑stack AI applications using modern ML/LLM platforms and AI coding tools (e.g., Devin, GitHub Copilot). Rapid Value Delivery: Champion MVP‑driven delivery, rapid iteration, hypothesis testing, and experimentation (A/B testing) to achieve fast time‑to‑value. Evaluation & Optimization: Define rigorous evaluation frameworks and metrics for AI and agent performance, ensuring continuous optimization and alignment with business goals. Technology Foresight: Proactively evaluate and integrate emerging AI technologies, particularly in agent‑based and autonomous AI systems, while acting as a thought leader and coach. Technical Leadership & Mentorship: Provide front‑line technical leadership, guide architectural decisions, and mentor engineers across AI, data, and application teams to build an AI‑first engineering culture. Strategic Domain Alignment: Ensure all AI solutions are grounded in deep banking domain understanding and clearly articulate business and risk impact beyond pure technical implementation. Qualifications Programming: Expert‑level proficiency in Python and/or Java (Spring Boot); solid experience with JavaScript/TypeScript (Angular, Node.js). AI/ML Expertise: Deep knowledge of AI fundamentals (knowledge representation, automated planning, decision‑making under uncertainty, multi‑agent systems). Extensive hands‑on experience with LLM platforms (OpenAI, Anthropic, Google), RAG pipelines, MCPs, and agent frameworks (Google ADK). Demonstrated effectiveness with AI coding tools (Devin, Claude Code, GitHub Copilot, Antigravity). Strong experience with ML frameworks (TensorFlow, PyTorch) and data science libraries. Proven ability to design and expose robust, scalable APIs for AI services. Engineering Excellence: Deep expertise in software engineering best practices, including system design, CI/CD, testing strategies, resiliency, security, and operational stability for AI‑driven platforms. Architecture & Data: Strong experience designing API‑first, microservices‑based, and event‑driven systems, including AI‑focused data pipelines and lifecycle management. Platforms: Hands‑on experience with Docker and Kubernetes. Leadership & Communication: Exceptional ability to articulate complex technical concepts, influence senior stakeholders, and lead high‑impact technical discussions. Domain Expertise: Strong understanding of banking and regulated financial environments, with the ability to connect AI capabilities to measurable business outcomes. Nice to Have Advanced data science expertise (statistical modeling, experimentation). Demonstrated experience mentoring and scaling AI‑first engineering talent in rapidly evolving toolchains. Experience: 10+ years of progressive software engineering experience with sustained hands‑on contributions. 3+ years of dedicated experience in AI, LLM‑based systems, and agentic architectures. Proven success architecting and delivering multiple enterprise‑scale AI solutions into production. Education: Bachelor's or Master's degree in Computer Science, AI, Robotics, or a related quantitative discipline.

As a Senior Lead Software Engineer at JPMorgan Chase within the Equities Risk Management Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. JPMorganChase, one of the oldest financ

As a Lead Software Engineer at JPMorgan Chase within the Wholesale Credit Risk Technology Analytics Team, you are an integral part of a fast-paced agile team dedicated to enhancing, building, and delivering trusted, market-leading technology products in a secure, stable, and scalable manner.

This role is ideal for engineers who enjoy working on distributed systems, developer platforms, and infrastructure-heavy codebases, and who have applied software engineering best practices to systems that support AI/ML workloads. Continuously evaluate and adopt emerging technologies, applying sound

Strong understanding of engineering best practices and version control.

Strong Big-Data and database skills including Spark, Databricks, and/or Data Lake. As a Senior Lead Software Engineer at JPMorganChase within the Corporate Sector- Liquidity Risk, you are an integral part of a fast paced agile team working on cutting edge technologies to enhance, build, and deliver

Develop Python services, APIs, and tooling to improve CI/CD, deployment orchestration, and developer productivity on AWS. Build integrations with enterprise systems and AWS services in Python; create reusable SDKs, CLI tools, templates, and libraries. Drive automated testing (unit, integration, cont

Experience with React Context API, Axios for API integration, Jest, Cypress, Typescript, Webpack, React query, and HTML/CSS. Completed AWS Developer or Solution Architect Certification.

Kforce has a client in Jersey City, NJ that is seeking a Software Engineer. Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field. Strong Python software engineering experience building and maintaining production-grade libraries, services, and platform

Software Engineer III - AI/ML Engineer.We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.As a Software Engineer III - AI/ML Engineer at JPMorganChase within the AI For Technology group, you serve as a seasoned member of an agile team to

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.As a Lead Software Engineer at JPMorganChase within the Corporate Sector - Data Visualization & BI team, you are an integral part of an agile team that works to enhance, build, and

Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems. Identifies opportunities to eliminate or automate remediation of recurring issues to improve o

Bring your engineering skills and Join JPMorgan Chase where you will build and ship production AI at global scale. As a Software Engineer III on JPMorgan Chase's AI/ML Data Platforms - AI Research team, you'll design Python-first platforms and GenAI apps (including agents), turn research into secure

We are seeking a well-rounded hands-on quantitative developer that is experienced in building systems that support the full investment management cycle with the main focus on full stack development using Python, Java and AI/LLM tools. Desire to use AI/LLM tools in development efforts.

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.As a Senior Lead Software Engineer at JPMorganChase within the Consumer and Community Bank, you drive significant business impact through your capabilities and con

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.As a Lead Software Engineer at JPMorgan Chase within the Corporate Sector, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading

Experience with database technologies such as SQL, PostgreSQL, or DynamoDB. Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages.

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.As a Lead Software Engineer at JPMorganChase within the Commercial and Investment Bank's Engineering and Architecture Team, you are an integral part of an agile team that works to e

Design, develop, and maintain secure, high ‑ quality production code using modern programming languages (Java, JavaScript/TypeScript, Node. Proficiency in modern programming languages (Java, JavaScript/TypeScript, Node.

Programming Proficiency: Exhibit strong proficiency in Java or Python, with the ability to architect and build complex AI models from scratch. Programming Proficiency: Minimum 5+ years of strong proficiency in Java or Python, with the ability to architect and build complex AI models from scratch.

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorganChase within the Commercial and Investment Bank, you serve as a seasoned member of an agile team to design and deliver trusted market-leading techno

ETL Testing, Python/PySpark - Coding Experience is Mandatory. The SDET (Software Development Engineer in Test) is responsible for ensuring the quality and reliability of ETL processes and data integration workflows. The ideal candidate will leverage their expertise in ETL testing and data validation

Our client is seeking a highly skilled and experienced Senior Python Engineer with a strong background in Python development and portfolio management systems. This role provides an exciting opportunity to work on cutting-edge technologies at the intersection of finance and software engineering. Abou

Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies. Formal training or certification on Software Engineering concepts and 5+ years applied experience in coding and development space. As a Lead Software Engineer at JPMorganChase w

Sr. Lead Software Engineer If you are looking for a game-changing career, working for one of the world's leading financial institutions, you've come to the right place. As a Sr. Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank Compute Runtime Platforms, you will play a crucial role in providing expertise and engineering excellence as part of an agile team. Your responsibilities include enhancing, building, and delivering trusted market-leading technology products in a secure, stable, and scalable manner. You will leverage your advanced technical skills and collaborate with colleagues across the organization to achieve best-in-class outcomes across various technologies, supporting one or more of the firm's portfolios. Job Responsibilities: • Design, implement, and optimize distributed computing solutions in HPC, K8s and Cloud environments., • Leverage Generative AI and AI tooling to enhance the monitoring, management, and optimization of large compute environments., • Collaborate with cross-functional teams to improve system performance and efficiency., • Develop and maintain software solutions using Python, C++; and Go., • Formal training or certification on Software Engineering concepts and 5+ years applied experience., • Expertise in C++, Python, Kubernetes (K8s), and HPC/Grid Computing technologies (Slurm, LSF, Symphony), GenAI, agent framework and tools, observability tooling such as OTel, • Proven experience with cloud technologies and environments, • Strong problem-solving skills and the ability to work collaboratively in a team setting. JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans About the Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

A leading education technology firm is seeking a Senior Software Engineer to specialize in applied AI and generative systems. The ideal candidate will have 8–12+ years of experience in software engineering, strong proficiency in Python, and a proven track record in building production-grade AI sys

Job Description The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us. What You'll Do • Be scrappy to find new sources of audio data and bring it into our ingestion pipeline, • Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform., • Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models., • BS/MS/PhD in Computer Science or a related field., • 5+ years of industry experience in software development., • Proficiency with bash/Python scripting in Linux environments, • Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP), • Experience with web crawlers, large-scale data processing workflows is a plus, • Ability to handle multiple tasks and adapt to changing priorities., • A fast-growing environment where you can help shape the company and product., • An entrepreneurial-minded team that supports risk, intuition, and hustle., • A hands-off management approach so you can focus and do your best work., • An opportunity to make a big impact in a transformative industry., • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture., • Opportunity to work on a life-changing product that millions of people use., • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more. Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Job Description A client of AlphaStaffHCM is seeking an experienced and talented Senior Hardware Engineer to be part of our hardware development efforts. As a Senior Hardware Engineer, you will be responsible for designing, developing, and testing advanced hardware systems. This position offers a unique opportunity to apply your expertise and skills in a challenging and innovative technology environment. This position offers a unique opportunity to be at the forefront of quantum technology, contributing to the advancement of groundbreaking solutions in the rapidly evolving field of quantum computing. If you are passionate about changing the world by empowering revolutionary new quantum technologies, we want to hear from you! Duties and Responsibilities: • Support the development of several platforms based around classical and quantum photonics as a senior hardware engineer., • Work alongside other hardware engineers to design custom electronics using Altium Designer., • Evaluate critical component performance via board-level and system-level lab testing (ADCs, DACs, FPGAs, TDCs, etc.), • Work with firmware engineers, software engineers, and quantum scientists during various phases of lab testing., • Work with contract manufacturers during manufacturing phases to procure custom electronics, addressing and mitigating any necessary design changes along the way., • Validate the performance of custom electronics with lab testing. Document any issues uncovered during testing., • Maintain documentation expected at milestone events during the entire design cycle (theory of operations, manufacturing documentation, validation testing results, etc.), • Integrate hardware into the complete system by working closely with mechanical, firmware, and FPGA engineers. Required Skills and Experience: • Bachelor of Science (BS) in Electrical Engineering or Computer Engineering (EE or CE) from an accredited university., • BS in EE or CE and 6+ years of experience or MS EE or CE with 4+ years of experience., • Proven experience designing PCBs from schematic capture, layout design, and review., • Experience with at least one ECAD suite (Altium, OrCAD, Allegro, CircuitMaker, or others) Altium is strongly preferred., • Familiarity with PCB design best practices related to Signal Integrity, Power Integrity, and EMI/EMC compliance., • Strong foundation in PCB design related to DFM, DFT, and DFA best practices., • Strong electrical engineering fundamentals in Analog, Power, and Digital Electronics., • Advanced experience with voltage regulators, LDO, and switch mode power supplies (SMPS)., • Experience with analog electronics design (op-amps, TIAs, filters, etc.), • Experience with digital electronics design (Logic Gates, Flip Flops, Microcontrollers, RAM, ROM, Flash, etc.), • Advanced knowledge of simulation tools such as SPICE., • Strong experience with low to medium-speed digital interfaces and protocols (I2C, CAN, UART, SPI, etc.)\, • Hands-on experience with board bring-up, debugging, testing, and integration with lab instruments such as: DMMs, Oscilloscopes, Logic Analyzers, and Spectrum Analyzers., • Able to code C, C++, MATLAB/Octave, or Python., • Working knowledge of Verilog is a huge plus., • Able to lift weights up to 50lbs (occasionally)., • Excellent problem-solving and analytical skills., • Excellent written and verbal communication skills., • Detail-oriented. Additional Preferred Skills: • Master of Science (MS) degree in Electrical Engineering or Computer Engineering (EE or ECE)., • Experience designing electronics with complex computing devices such as FPGAs, MCUs, CPUs, DSPs, etc., • Experience working with optoelectronics., • Experience with high-speed serial protocols (USB, PCIe, Ethernet, etc.), • Experience with RF analog, digital, and mixed-signal electronics., • Experience designing systems to meet compliance and certification requirements (e.g., CE/FCC)., • Experience integrating custom ASICs into designs., • FPGA/SoC/MCU lab validation with lab equipment., • Experience writing low-level firmware (C, Verilog, VHDL, etc.), • Experience with manual board prototyping/refurbing using essential equipment like soldering irons and hot air guns. Disclaimers: AlphaStaff, Inc. and the Client are equal employment opportunity employers and do not discriminate against any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, past or present military service, disability, genetic information, or any other basis protected by applicable federal, state, or local laws.

Job DescriptionOn-site Position Who You Are You are an innovative and detail-oriented Full-Stack Engineer with a passion for building reliable, secure, and scalable applications. You thrive in complex enterprise environments, enjoy collaborating with diverse teams, and are committed to continuous learning and technical excellence. You’re someone who finds energy in problem-solving, optimizing cloud architectures, and delivering high-quality software that directly impacts millions of users. You take ownership of your work, enjoy mentoring others, and value process discipline — especially in environments that demand precision, performance, and compliance. If you want to grow with a mission-driven company, contribute to world-class projects with global clients like JP Morgan Chase, and help elevate Latin American tech talent to its fullest potential, this is the role for you. Who We Are MAS means “more” in Spanish — and that’s what we stand for. We believe in providing more opportunities, more inclusion, and more impact. Founded by a Latina engineer from Medellín and based in Tampa, Florida, MAS Global Consulting is a 100% Hispanic and woman-owned company, recognized as a Great Place to Work and one of the Fastest-Growing Companies in the US. We connect top Latin American talent with North American clients to build digital, data, and cloud solutions. Our teams are currently helping world-leading organizations like JP Morgan Chase, Johnson Controls, and Dell to modernize platforms, deliver innovation, and scale digital transformation. How You Will Make Impact As a Full-Stack Java Developer, you will design, build, and optimize microservices and customer-facing applications that process massive volumes of secure transactions daily. You will work directly with Chase engineers under a time-and-materials engagement, embedded in agile delivery teams. Your contributions will drive real impact by improving system performance, enhancing observability, and enabling data-driven financial solutions at scale. Key Responsibilities • Design and develop RESTful APIs and microservices using Java (11+), Spring Boot, and Spring Cloud frameworks., • Implement event-driven architectures with Kafka (producers, consumers, schema management, and streaming)., • Deploy and manage services on AWS ECS/Fargate, using Terraform or CloudFormation for Infrastructure-as-Code and Spinnaker for CI/CD automation., • Integrate and maintain data flows with Cassandra, AWS S3, or Spark-based pipelines., • Collaborate with frontend teams using React or Angular to deliver seamless, full-stack solutions., • Leverage Python for automation, data validation, or integration scripting (nice-to-have)., • Ensure quality through Test-Driven Development, automated testing, and continuous integration practices., • Partner with DevOps and QA teams to enhance resilience, scalability, and performance across distributed systems., • Participate in sprint planning, design reviews, and retrospectives while following Agile/Scrum practices., • Champion best practices in security, code quality, and documentation, ensuring compliance with Chase’s standards.You Have:, • BS/BA degree or equivalent experience in Computer Science, Engineering, or related field., • 7+ years of experience building enterprise-grade applications using Java / Spring Boot., • Proven experience developing and deploying microservices on AWS Cloud (ECS, Fargate, Lambda)., • Solid understanding of Kafka, Docker/Kubernetes, and distributed system design., • Hands-on experience with CI/CD pipelines (Spinnaker, Jenkins, or GitHub Actions)., • Experience with frontend frameworks like React or Angular for full-stack delivery., • Familiarity with Cassandra, SQL/NoSQL databases, and data streaming concepts., • Working knowledge of Python3 for automation or data processing (nice-to-have)., • Exposure to observability tools like Datadog, Splunk, or Dynatrace for monitoring and troubleshooting., • Experience working in Agile environments and collaborating in cross-functional teams., • Excellent communication skills — able to explain technical concepts to both engineers and product stakeholders.Bonus Skills (Nice to Have):, • Knowledge of Apache Spark, Flink, or data engineering concepts., • Familiarity with financial services, regulated environments, or compliance-heavy systems., • Experience integrating AI/ML-powered recommendation systems or event-driven personalization logic., • Awareness of performance testing, NFR validation, and resilience patterns (DLQ, retries, fallback).Benefits, • Health: Medical, dental, and vision coverage., • Time Away: Vacation, holidays, wellness days, and parental leave., • Financial: 401(k), basic life, and AD&D insurance. Powered by JazzHR 1Vxvxla96D

Job Description Position Description A client of AlphaStaffHCM is looking for a Software Engineer with deep expertise in Quantum Information Theory and Network Security. This role is critical in building a secure data path for our quantum networking products. You will responsible for using theoretical quantum principles and photonic hardware to create deployment-ready software for Quantum Key Distribution (QKD), Quantum Zero-knowledge Proof (QZEK-P), Quantum Physical Unclonnable Functions (QPUF), and secure entanglement distribution. Responsibilities • Design and implement high-performance C++ software for real-time quantum cryptographic protocols, including entanglement-based polarization and time-energy QKD., • Develop efficient algorithms for classical post-processing in quantum-secured systems, specifically focusing on Error Correction (Information Reconciliation), Privacy Amplification to maximize secure key rates, and quantum authentication/confirmation., • Architect the Hardware Abstraction Layer (HAL) for distributed quantum networking nodes (Alice/Bob), interfacing with single-photon detectors, polarization controllers, and time-tagging electronics., • Optimize the full cryptographic stack for latency and throughput, ensuring seamless integration between quantum key generation, quantum authentication/confirmation, and the key management entity.., • Collaborate with optical physicists and FPGA engineers to deliver new features and provide updates as existing hardware is upgraded over time., • Develop simulation tools to model channel loss, noise sources, and the statistical performance of quantum protocols. Required Qualifications • Bachelor’s degree in Computer Science, Electrical Engineering, Physics, or Mathematics is required., • 6+ years of experience in software engineering with a focus on systems, security, or embedded devices., • Strong proficiency in C++ and Python., • Deep domain knowledge of Quantum Key Distribution (QKD) protocols (e.g., BB84, E91, BBM92) and their implementation requirements., • Experience implementing Error Correction codes (e.g., LDPC, Cascade, Winnow) or Forward Error Correction (FEC) specifically for noisy communication channels., • Understanding of Quantum Information concepts, including entanglement distribution, Bell state measurement, and qubit polarization encoding., • Familiarity with high-speed data acquisition and processing protocols (e.g., PCIe, DMA, UDP/TCP)., • Familiarity with Linux system programming and build toolchains (CMake, GCC/Clang). Preferred Qualifications • Knowledge of classical cryptography standards (AES, RSA, ECC) and PKI infrastructure., • Familiarity with Post-Quantum Cryptography (PQC) algorithms (Lattice-based, Hash-based)., • Experience with network security protocols (IPsec, TLS/SSL) and how QKD integrates into the OSI model., • Background in Information Theory and statistical analysis for security proofs. Preferred Education • Master’s or Ph.D. in Quantum Information Science, Physics, or Cryptography is highly preferred. Skills C++, Python, Quantum Key Distribution (QKD), Error Correction, Cryptography, Network Security, Entanglement, Polarization, High Performance Computing, Linux, Algorithms. Disclaimers: AlphaStaff, Inc. and the Client are equal employment opportunity employers and do not discriminate against any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, past or present military service, disability, genetic information, or any other basis protected by applicable federal, state, or local laws.

Responsibilities include developing backend applications and APIs, as well as mentoring team members.

Job DescriptionGreetings from Donato Technologies Inc. We have an immediate opening with my client. If you are looking for a new project, please send me a copy of your updated resumes • Software Engineer Further Skillset: • AWS Cloud native application development experience is a must, • Experience with AWS Infrastructure provisioning technologies, • Familiarity with cloud database technologies, • Must have experience with Java and Python, • Must have experience with git, unit testing, Dev Ops, CI/CD, • Have experience with authentication protocols SAML and JWT, • Strong organizational and project management skills., • Excellent verbal communication skills., • Good problem-solving skills. Jennifer Sampson Technical Recruiter ....................................................... DONATO TECHNOLOGIES, INC 12100 Ford Rd, #306, Dallas, TX 75234 Direct : (469)-342-0401 Email: Web:

Job Description We are seeking a DevOps / SRE Engineer to design, build, and operate scalable AWS infrastructure with a strong emphasis on deployments, automation, and CI/CD. This role prioritizes enabling fast, reliable software delivery while maintaining high system availability and performance. You will work closely with development teams to streamline deployment pipelines, improve release velocity, and enforce infrastructure best practices. Responsibilities • Design, build, and manage AWS-based Linux infrastructure for scalable application deployments, • Own and optimize CI/CD pipelines to enable reliable, repeatable, and fast deployments, • Manage application releases, deployments, and rollback strategies across environments, • Automate infrastructure provisioning and application delivery using Infrastructure as Code, • Collaborate with development teams to improve build, test, and deployment workflows, • Troubleshoot deployment failures, pipeline issues, and production incidents, • Implement blue/green, canary, and rolling deployment strategies, • Maintain system reliability, monitoring, and alerting for production services, • Optimize performance, scalability, and cost of cloud infrastructure, • Enforce security best practices across infrastructure and deployment pipelines, • Maintain runbooks, deployment documentation, and operational procedures, • Participate in on-call rotation supporting production systems Required Skills • 5+ years of Linux system administration (RHEL, Ubuntu, Amazon Linux, Rocky/CentOS), • 3+ years of AWS experience (EC2, VPC, IAM, S3, EKS, ALB/NLB, CloudWatch), • Strong experience building and managing CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins), • Hands-on experience with application deployments in cloud environments, • Proficiency in Bash and Python for automation, • Strong experience with Infrastructure as Code (Terraform preferred, CloudFormation acceptable), • Experience with containerization (Docker) and orchestration (Kubernetes/EKS), • Solid understanding of networking (TCP/IP, DNS, load balancing, firewalls), • Familiarity with observability tools (Prometheus, Grafana, ELK/OpenSearch, Datadog), • Experience implementing deployment strategies (blue/green, canary, rolling updates), • Strong focus on automation, deployment efficiency, and developer enablement, • Comfortable working in fast-paced environments with frequent releases, • Collaborative mindset with strong communication across DevOps and engineering teams, • Ownership-driven with a focus on continuous improvement and operational excellence

Job DescriptionBenefits: Interview Mode: In person Interview Core Responsibilities • Create, develop, and sustain high-performance applications utilizing Core Java, Spring, and Spring Boot., • Construct and deploy scalable services within AWS environments while implementing effective data queries through GraphQL., • Employ JOLT for JSON-to-JSON transformations and XSLT for XML processing to guarantee smooth data integration across various systems., • Leverage Python for automation, scripting, or additional service development as required., • Demonstrated expert-level proficiency in Core Java and the Spring Framework, including Spring Boot, Spring MVC, and Spring Security., • Established experience with GraphQL and Amazon Web Services (AWS)., • A robust understanding of data mapping and transformation tools, particularly JOLT and XSLT., • At least 12 years of professional experience in software development., • Outstanding verbal and written communication abilities; capable of articulating intricate technical concepts to stakeholders without a technical background.

Job Description Cloud System Admin We are seeking a DevOps / SRE Engineer to design, build, and operate scalable AWS infrastructure with a strong emphasis on deployments, automation, and CI/CD. This role prioritizes enabling fast, reliable software delivery while maintaining high system availability and performance. You will work closely with development teams to streamline deployment pipelines, improve release velocity, and enforce infrastructure best practices. Responsibilities • Design, build, and manage AWS-based Linux infrastructure for scalable application deployments, • Own and optimize CI/CD pipelines to enable reliable, repeatable, and fast deployments, • Manage application releases, deployments, and rollback strategies across environments, • Automate infrastructure provisioning and application delivery using Infrastructure as Code, • Collaborate with development teams to improve build, test, and deployment workflows, • Troubleshoot deployment failures, pipeline issues, and production incidents, • Implement blue/green, canary, and rolling deployment strategies, • Maintain system reliability, monitoring, and alerting for production services, • Optimize performance, scalability, and cost of cloud infrastructure, • Enforce security best practices across infrastructure and deployment pipelines, • Maintain runbooks, deployment documentation, and operational procedures, • Participate in on-call rotation supporting production systems Required Skills • 5+ years of Linux system administration (RHEL, Ubuntu, Amazon Linux, Rocky/CentOS), • 3+ years of AWS experience (EC2, VPC, IAM, S3, EKS, ALB/NLB, CloudWatch), • Strong experience building and managing CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins), • Hands-on experience with application deployments in cloud environments, • Proficiency in Bash and Python for automation, • Strong experience with Infrastructure as Code (Terraform preferred, CloudFormation acceptable), • Experience with containerization (Docker) and orchestration (Kubernetes/EKS), • Solid understanding of networking (TCP/IP, DNS, load balancing, firewalls), • Familiarity with observability tools (Prometheus, Grafana, ELK/OpenSearch, Datadog), • Experience implementing deployment strategies (blue/green, canary, rolling updates), • Strong focus on automation, deployment efficiency, and developer enablement, • Comfortable working in fast-paced environments with frequent releases, • Collaborative mindset with strong communication across DevOps and engineering teams, • Benefits are offered such as medical/dental/vision insurance and vacation time. 401k will be obtained as a benefit after 1 full year of service., • You will be placed at our Fair Lawn, NJ office, Please do not apply if you are not local or are not willing to relocate. I1Diud668z