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Note to Applicants: We are actively reviewing all submissions! Even if you see a high number of applicants, we encourage you to apply if your skills align with the role. We value every application and are committed to finding the right fit. Job Details • Job Title: Senior macOS Engineer / MDM Specialist (L3 Support), • Job Location: Jersey City, NJ (100% Onsite), • Job Duration: 6 Months (July 1, 2026 – January 1, 2027), • Job Type: Contract, • Industry Focus: Banking / Financial Services Enterprise Infrastructure Job Overview As a Senior macOS Engineer and MDM Specialist, you will operate as a critical Layer 3 (L3) escalation point, driving enterprise-scale Mobile Device Management (MDM) administration and optimization for a world-class financial institution. This role is pivotal in maintaining the security, compliance, and operational excellence of a massive Apple endpoint fleet. You will lead high-severity incident resolution, execute advanced root-cause analysis, and spearhead continuous improvement initiatives across the global Apple ecosystem. Collaborating closely with Security, Infrastructure, and Service Desk teams, you will ensure a highly secure, reliable, and standardized endpoint experience that meets stringent financial industry regulatory standards. Core Competencies To be considered for this role, candidates must possess explicit, verifiable experience in the following "Must-Have" technical domains: • Enterprise MDM Administration: Extensive engineering experience with VMware Workspace ONE and JAMF (Casper Suite) Management Software., • Apple Ecosystem Architecture: Deep functional knowledge of Apple Business Manager (ABM), Automated Device Enrollment (ADE), Volume Purchase Program (VPP), configuration profiles, and policy frameworks., • Advanced macOS Engineering: Subject matter expertise in Apple OS X / macOS enterprise configuration, maintenance, and file systems., • Identity & Network Integration: Mastery of enterprise authentication protocols (SSO, IdP), public key infrastructure (PKI/Certificates), and network/security troubleshooting (Wi-Fi, VPN). Key Responsibilities • L3 Escalation & Engineering Support: Act as the highest tier of internal escalation for complex macOS incidents and problems. Own high-severity issues from inception to resolution, conducting detailed root-cause analysis (RCA)., • MDM Fleet Optimization: Administer, configure, and optimize Jamf and Workspace ONE platforms to manage a large-scale enterprise endpoint fleet (10,000+ devices)., • Compliance & Hardening: Enforce strict compliance controls, endpoint security standards, patching schedules, and data protection policies in alignment with financial regulatory frameworks (e.g., SOC2, PCI-DSS)., • Automation & Telemetry: Develop and maintain scripting architectures (e.g., Bash, Python) to automate routine deployments, reduce operational overhead, and improve endpoint telemetry reporting., • Cross-Functional Collaboration: Partner with Security, Network Engineering, and Identity Management teams to deliver cohesive infrastructure solutions. Collaborate with and uplift L1/L2 service capabilities via knowledge transfer., • Fleet Health Monitoring: Monitor global endpoint health metrics, track key performance indicators (KPIs), analyze patching compliance trends, and proactively mitigate vulnerabilities., • Hybrid Ecosystem Integration: Provide secondary integration support across hybrid environments, including interfacing with Windows management teams and ensuring seamless connectivity with VDI/Citrix architectures., • Documentation & Change Governance: Author and update high-quality engineering documentation, standard operating runbooks, and strict change/release records in compliance with enterprise ITIL frameworks. Required Qualifications & Experience • Professional Experience: A minimum of 5+ years of dedicated, hands-on experience specifically focused on Desktop Support Engineering and macOS Systems Engineering., • Scale Competency: 5+ years of verified experience configuring and managing MDM platforms (Jamf, Workspace ONE) within a high-availability enterprise environment containing 10,000+ end-user devices., • Technical Ecosystem Depth: Proven track record deploying and managing ABM, ADE, VPP, and custom payload configuration profiles at scale., • Advanced Troubleshooting: Demonstrated ability to dissect and resolve intricate networking, identity/SSO, certificate authentication, and hardware-software interaction faults., • Pre-Employment Compliance: Possession of a clean background check history; selected candidates must clear a comprehensive Background Verification (BGV) screening prior to onboarding. Preferred Skills • Advanced scripting capability (Bash, Python, Zsh) tailored specifically for automated macOS administration and deployment workflows., • Prior experience engineering endpoint solutions within highly regulated financial services environments or institutions with strict information security policies., • Familiarity with cross-platform environments, including Windows endpoint management, Active Directory integration, and modern VDI or Citrix delivery mechanisms.

Hiring: Senior AI Engineer – Agentic AI & LLM Systems (Backend + Architecture) Locations: Jersey City, NJ | Dallas, TX | Menlo Park, CA | Seattle, WA (Onsite) Full-Time $150K – $200K Base + Bonus We are seeking a hands-on Senior AI Engineer to design, build, and deploy production-grade agentic AI systems at scale. This role requires a strong combination of backend engineering, LLM system design, and architectural thinking. This is an individual contributor role for engineers who can not only build systems but also clearly articulate high-level design, tradeoffs, and production considerations. What You’ll Do: • Design and implement end-to-end AI systems, including ingestion, retrieval, orchestration, and evaluation layers, • Build and deploy multi-agent AI systems (planning, reasoning, tool usage, coordination), • Develop scalable backend services and APIs for AI-driven applications, • Architect RAG pipelines and hybrid retrieval systems for enterprise use cases, • Define and implement LLMOps practices, including evaluation frameworks, monitoring, and observability, • Optimize systems for latency, scalability, cost, and reliability, • Integrate AI systems with cloud infrastructure, distributed systems, and enterprise platforms, • Collaborate with cross-functional teams to translate business needs into scalable AI solutions Required Qualifications: • 8–15 years of experience in software engineering, AI/ML engineering, or platform engineering, • Strong programming skills in Python (required), • Proven experience building production-grade distributed systems and APIs, • Hands-on experience with LLMs and GenAI systems in production environments MUST-HAVE SKILLS: • Experience designing and building multi-agent AI systems (LangGraph, CrewAI, AutoGen, MCP, or similar), • Strong understanding of LLM system architecture, including orchestration, memory, retrieval, and tool usage, • Experience with RAG pipelines, vector databases, and hybrid retrieval strategies, • Experience implementing LLM evaluation frameworks (LLM-as-judge, hallucination detection, benchmarking), • Strong knowledge of cloud platforms (AWS preferred) and distributed systems (Kubernetes, Docker), • Experience with event-driven architectures (Kafka, streaming pipelines, async processing) Preferred Qualifications: • Experience building enterprise-scale AI platforms, • Familiarity with observability tools (Prometheus, Grafana, OpenTelemetry), • Exposure to financial services or regulated environments, • Experience explaining system design and tradeoffs to both technical and non-technical stakeholders Not a Fit If: • You are primarily a data scientist or research-focused ML engineer, • Limited experience with production system design and deployment, • Experience is limited to POCs, demos, or basic chatbot/RAG implementations, • Primarily focused on people management or high-level strategy without hands-on coding This role is ideal for engineers who can design, build, and explain production AI systems end-to-end — combining deep technical execution with strong system-level thinking.

About Us: Our passion at EXL is enabling organizations to achieve a measurable, competitive advantage through Data Management. We partner with our clients to design and implement scalable, accessible, and innovative solutions. Our goal is to make sense of data to drive client’s business forward through data strategy, data governance and building cloud data platforms. EXL is a leading data analytics and digital operations and solutions company that partners with clients to improve business outcomes and unlock growth. By bringing together deep domain expertise with robust data, powerful analytics, cloud, artificial intelligence (“AI”) and machine learning (“ML”), we create agile, scalable solutions and execute complex operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media, and retail, among others. Focused on driving faster decision-making and transforming operating models, EXL was founded on the core values of innovation, collaboration, excellence, integrity and respect. Headquartered in New York, our team is over 44,500+ strong, with more than 50 offices spanning six continents. Overview: We are seeking a seasoned Big Data & ML Engineer with a strong background partnering with Data Science teams. In this role, you will handle large enterprise datasets, building robust pipelines and models that power data-driven decision-making. Key Responsibilities • Data Pipeline Engineering: Design, build, and maintain scalable data pipelines to process and transform large-scale enterprise datasets., • ML Implementation: Collaborate closely with Data Scientists to operationalize basic ML models, ensuring they perform efficiently in a distributed computing environment., • Big Data Management: Utilize Hive for data warehousing and management, ensuring high performance for complex analytical queries., • Advanced Analytics: Write complex, optimized SQL and PySpark code to extract insights and prepare features for modeling., • Performance Tuning: Optimize Spark jobs and SQL queries to handle enterprise scale data sets with minimal latency., • Collaboration: Serve as the technical bridge between data engineering infrastructure and the data science lifecycle. Required Skills & Qualifications • Experience: 5–8 years of professional experience in Big Data Engineering or ML Engineering., • PySpark Mastery: Expert-level proficiency in PySpark, • SQL & Databases: Strong SQL skills for deep-dive analysis and extensive experience working with Hive databases., • Python Programming: Advanced Python skills, specifically for data science libraries (Pandas, Scikit-learn, NumPy)., • ML Lifecycle: Previous experience working as an ML Engineer, including model deployment, monitoring, and feature engineering., • Enterprise Scale: Proven track record of handling "messy" enterprise data at scale., • Familiarity with CI/CD pipelines for ML (MLOps)., • Previous experience in Banking/Capital Markets/Financial Services is required. Company Overview and Culture EXL (NASDAQ: EXLS) is a global analytics and digital solutions company that partners with clients to improve business outcomes and unlock growth. Bringing together deep domain expertise with robust data, powerful analytics, cloud, and AI, we create agile, scalable solutions and execute complex operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media, and retail, among others. Focused on creating value from data for driving faster decision-making and transforming operating models, EXL was founded on the core values of innovation, collaboration, excellence, integrity and respect. Headquartered in New York, our team is over 50,000 strong, with more than 50 offices spanning six continents. For information, visit _. To view our total rewards offered click here —> _ Base Salary Range Disclaimer: The base salary range represents the low and high end of the EXL base salary range for this position. Actual salaries will vary depending on factors including but not limited to: location and experience. The base salary range listed is just one component of EXL's total compensation package for employees. Other rewards may include bonuses, as well as a Paid Time Off policy, and many region specific benefits. Please also note that the data shared through the job application will be stored and processed by EXL in accordance with the EXL Privacy Policy. Application & Interview Impersonation Warning – Purposely impersonating another individual when applying and / or participating in an interview in order to obtain employment with EXL Service Holdings, Inc. (the “Company”) for yourself or for the other individual is a crime. We have implemented measures to deter and to uncover such unlawful conduct. If the Company identifies such fraudulent conduct, it will result in, as applicable, the application being rejected, an offer (if made) being rescinded, or termination of employment as well as possible legal action against the impersonator(s). EXL may use artificial intelligence to create insights on how your candidate information matches the requirements of the job for which you applied. While AI may be used in the recruiting process, all final decisions in the recruiting and hiring process will be taken by the recruiting and hiring teams after considering a candidate’s full profile. As a candidate, you can choose to opt out of this artificial intelligence screening process. Your decision to opt out will not negatively impact your opportunity for employment with EXL.

Title - AWS Cloud Engineer Location - Jersey City, New Jersey, United States This resource will be part of our Cloud Infrastructure Team supporting. This role will be key in working with various infrastructure teams (Security, Networking, Database, Unix) to develop, deploy and support applications. Due to the collaborative nature of the role, it will be important that this resource be senior in both DevOps / AWS / technical skills and interpersonal skills. Candidate should have strong communication, teamwork, customer service and leadership skills to partner with broader global technology engineering, information security and line of business teams · Use Terraform and AWS to deploy highly available, scalable, and secure applications · Assist in architecting, designing, and implementing cloud-based solutions · Provide consulting and technical expertise on securely integrating additional cloud services and third-party solutions (such as Salesforce) into their application · Collaborate with the Cloud Engineering, Cloud Security, and Identity Teams on the administration and engineering of Role-Based Access Controls and processes · Help design and develop Governance of cloud infrastructure, including both technical controls and cost governance structures · Create and update support documentation and standards. · Develop automated methodologies for deployment activities, configuration management, supporting systems and business processes. · Use Jira to track and manage all work through the development life cycle. · Proactively analyze and contribute improvements to support our deployment processes · Investigate and contribute to solving various issues in production environments. · Drive compliance and security efforts related to systems managed by the team. Skills / Experience · 5+ years experience in AWS · Experience in designing and implementing highly resilient, cloud-native and multi-region solutions for public cloud infrastructure · Strong proficiency with Kubernetes (EKS) and Kafka (MSK) in AWS · Strong proficiency with High Availability and resiliency in the cloud · AWS professional and/or specialty certifications, such as Solutions Architect, DevOps Engineer · Experience in implementing Secure Architectures for private and/or public internet facing systems · Strong understanding of cloud computing concepts, infrastructure, and best practices. Such as Containers, Serverless, Microservices · Strong understanding of IaC, CI/CD Pipelines, Terraform, Bitbucket, Bamboo etc. · Strong understanding of networking and internet protocols and distributed systems · Proficiency in Python, AWS CLI · Working knowledge of Shared Responsibility models · Prior experience building out CI/CD pipelines · Experience working in Agile teams, and related tools (Jira, Confluence, etc) · Background in software development a plus Compensation and Benefits A candidate’s pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year. Disclaimer HCL is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to secure@hcltech.com for investigation.

Job Description Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world. We are seeking an experienced Data Engineer to join our data team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines, data integration processes, and data infrastructure on AWS cloud. You will collaborate closely with data scientists, analysts, and AI teams to support analytics, machine learning, and Generative AI initiatives across the organization. Requirements Key Responsibilities • Design, develop, and deploy end-to-end data pipelines on AWS cloud infrastructure using services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc., • Implement data processing and transformation workflows using Databricks, Apache Spark, and SQL to support analytics, reporting, and AI-driven use cases., • Build and maintain orchestration workflows using Apache Airflow to automate data pipeline execution, scheduling, and monitoring., • Support data preparation and ingestion for AI/ML and Generative AI workloads, including handling structured and unstructured datasets., • Enable data pipelines that support LLM-based applications, vector embeddings, and knowledge retrieval systems., • Lead the migration of legacy data systems to modern cloud-based data architectures., • Develop and maintain CI/CD pipelines for data workflows and platform automation., • Collaborate with data scientists, ML engineers, and AI teams to ensure data availability for model training, inference, and GenAI applications., • Optimize data pipelines for performance, reliability, scalability, and cost-effectiveness using AWS best practices. Required Skills • 8+ years experience as a Data Engineer working with AWS cloud services., • Hands-on experience with AWS services such as S3, Glue, Lambda, Redshift, and related data platform tools., • Experience building data pipelines using Databricks, Apache Spark, and SQL., • Experience with Apache Airflow for workflow orchestration., • Strong understanding of data modeling, data lake/lakehouse architectures, and ETL/ELT frameworks., • Experience with CI/CD pipelines and version control systems (Git)., • Exposure to Generative AI or LLM-based applications., • Experience supporting data pipelines for AI/ML workloads., • Familiarity with vector databases, embeddings, and Retrieval-Augmented Generation (RAG) architectures., • Experience working with LLM APIs or AI frameworks such as LangChain., • Understanding of MLOps workflows and model deployment pipelines. Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Job Description Tiger Analytics is seeking a highly skilled Senior AI Engineer to join our dynamic team. In this role, you will design, develop, and implement cutting-edge AI solutions that drive business value for our clients. You will leverage advanced machine learning techniques, frameworks, and large datasets to create innovative products and solutions. As a Senior AI Engineer, you will work closely with cross-functional teams to identify project requirements, define success metrics, and maintain high-quality standards. Your expertise in AI will play a critical role in shaping our product offerings and ensuring the successful deployment of AI models in production. The successful candidate will have a solid background in artificial intelligence, experience with various ML frameworks, and a passion for solving complex business problems. Requirements Key Responsibilities: • Design and implement AI algorithms and models to solve real-world problems., • Collaborate with data scientists, data engineers, and business analysts to understand project requirements and propose relevant AI solutions., • Monitor and analyze the performance of AI models in production and iterate on them to improve outcomes., • Develop technical documentation as well as customer-facing documentation and presentations., • Stay updated with the latest research and trends in AI and propose innovative ideas to improve our offerings. Qualifications: • Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field., • 5+ years of experience in AI/ML development with demonstrated success in deploying machine learning models to production., • Proficiency in programming languages such as Python and familiarity with libraries such as TensorFlow, PyTorch, and Scikit-learn., • Experience with cloud-based AI services such as AWS, Google Cloud, or Azure., • Strong analytical and problem-solving skills, with a proven ability to interpret business requirements into technical solutions., • Excellent communication skills and ability to convey complex technical concepts to non-technical stakeholders. Preferred Skills: • Experience with natural language processing (NLP) or computer vision applications., • Knowledge of MLOps principles and tools., • Familiarity with version control systems (e.g., Git) and Agile methodologies. Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. #LI-remote

Job Description Are you ready to shape the future of authentication? Join 1Kosmos and help lead the next wave in identity assurance and passwordless innovation. 1Kosmos is driving the future of identity security, empowering organizations to eliminate passwords and establish trust at every step of the identity lifecycle. As a vibrant team of innovators, we develop advanced authentication solutions trusted by some of the world’s leading brands. Join us as we create a passwordless world and set new standards for digital identity assurance. We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer vision and AI solutions. You will work on projects involving image capture, data extraction, and fraud detection, delivering high-performance models that can run on both mobile devices and cloud environments. This role blends R&D with production engineering—you’ll take ownership of the full ML lifecycle, from dataset creation and model training to deployment and performance optimization. Key Responsibilities • Design and implement AI models for image classification, object detection, OCR, and feature extraction., • Develop real-time image quality assessment and capture guidance algorithms., • Create and maintain data pipelines for collecting, cleaning, augmenting, and labeling datasets., • Implement model optimization techniques for mobile (on-device) and cloud inference., • Apply fraud detection methods to identify tampering, forgeries, or replay attacks in visual data., • Integrate ML models into production-grade APIs and mobile SDKs., • Monitor, evaluate, and continuously improve model accuracy and performance., • Collaborate with product and engineering teams to align AI capabilities with business goals. Requirements • Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field (or equivalent experience)., • 3+ years of experience building and deploying ML models in production., • Proficiency in Python and ML frameworks (PyTorch, TensorFlow, or similar)., • Experience with computer vision libraries (e.g., OpenCV) and OCR technologies., • Strong understanding of deep learning architectures for image and text recognition., • Familiarity with cloud platforms (AWS, GCP, or Azure) and API development., • Strong problem-solving skills and ability to work in fast-paced environments., • Based in the NJ / NY area; Hybrid working model.Preferred Qualifications, • Experience with model quantization and optimization for mobile deployment., • Knowledge of synthetic data generation and data augmentation techniques., • Background in security, liveness detection, or anomaly detection., • Exposure to compliance and data privacy regulations (GDPR, CCPA)., • Contributions to open-source ML projects or published research. Benefits • Cutting-Edge Tech Stack: Build with decentralized identity protocols, FedRamp High, FIDO2-certified cryptography, and NIST-compliant biometric systems., • Accelerated Growth: Receive annual stipends for certifications and attend key conferences like Identiverse or EIC., • Ownership & Impact: We move fast and will enable you to make a big impact with large customers in US & Canada., • Flexibility First: Unlimited PTO, and 2 days WFH

Job Description Fortegra is seeking an Internal AI Forward Deployed Software Engineer to stay ahead of cutting-edge AI developments, rapidly prototype proofs-of-concept (POCs), and advise our organization's various technology teams on integrating the best AI solutions into their platforms and products. You'll be the go-to expert in bridging emerging AI technologies with our internal tech needs, enabling nimble adoption across teams and deploying AI apps in production. Roles and Responsibilities • Monitor and stay current with the AI technology landscape, including new models, frameworks, tools, and research across areas such as LLMs, multimodal AI, agentic systems, and orchestration platforms, to inform internal recommendations and solution design., • Operate with flexibility across software and data initiatives, contributing where business needs and priorities are most critical. Adapting readily to support both software engineering and data-focused projects as priorities and requirements shift will be integral to the role. Data-focused projects involve supporting our data infrastructure in terms of platform enhancements or building new data processes to support business needs., • Engage with internal stakeholders to identify high-value AI opportunities, define use cases, and rapidly prototype tailored solutions that integrate with our APIs, data pipelines, and internal platforms for workflows such as analytics, automation, and decision support., • Advise teams on the selection and implementation of AI solutions by assessing trade-offs across accuracy, latency, scalability, security, and cost, and guide the evolution of prototypes into production-ready applications., • Own end-to-end delivery of AI initiatives, from ideation and scoping through prototyping, testing, deployment, monitoring, and iterative optimization in internal production environments. Build a sharp eye for continuously validating AI-driven processes and evaluating their outputs for accuracy, effectiveness, and trustworthiness., • Identify reusable patterns, shared components, and platform enhancement opportunities emerging from AI projects, and partner with core engineering teams to improve maintainability, scalability, security, and operational resilience., • Conduct workshops, demos, and knowledge-sharing sessions to educate teams on AI best practices, emerging tools, and Fortegra's evolving AI capabilities, helping drive organization-wide adoption and responsible usage., • Operate effectively across multiple high-priority initiatives, contributing as an engineer, technical advisor, researcher, and communicator in a fast-moving and often ambiguous environment. The above cited duties and responsibilities describe the general nature and level of work performed by people assigned to the job. They are not intended to be an exhaustive list of all the duties and responsibilities that an incumbent may be expected or asked to perform. Required Skills and Qualifications • Bachelor’s degree in Computer Science or a related field required; Master’s degree in Computer Science or a related discipline with a focus on AI or machine learning is preferred., • 3 to 5 years of software engineering experience, including hands-on development of AI-enabled applications and solutions using modern cloud-based AI platforms such as Azure Machine Learning or Azure AI Studio. Experience with Azure is strongly preferred., • Proven track record of rapidly building POCs and advising on AI integration strategies, with strong knowledge of current AI trends, leading model families, evaluation approaches, and practical enterprise use cases., • Experience with developer tooling such as Claude Code, GitHub Copilot, and Cursor is required., • Strong full-stack engineering skills, including proficiency in React-based web development and the ability to review, understand, and refine AI-generated code. Experience designing or implementing agentic workflows is highly valued. Familiarity with FastAPI is preferred., • Experience working with frontier models from providers such as OpenAI, Anthropic, and Google within a Git-based development environment. Familiarity with GitHub-based CI/CD workflows and the use of AI tools for automated testing, including tools such as Playwright, is strongly preferred., • Demonstrated ability to work with speed and flexibility across multiple priorities, debug complex AI-driven systems, and deliver effective solutions under tight timelines., • Strong communication and stakeholder management skills, with the ability to work effectively in matrixed organizations and translate complex technical concepts for both technical and non-technical audiences., • Clear commitment to continuous learning, with an established habit of staying current on AI developments through research papers, newsletters, hands-on experimentation, and industry forums. Preferred Qualifications: • Insurance or Financial Services domain experience, • Experience building AI-enabled products or developer tooling, • Familiarity with LLMs, AI agents, and prompt engineering, • Experience with serverless and cloud-native architectures What Makes This Role Unique: • Work in an AI-first engineering environment, • Use modern AI developer tools to dramatically accelerate development, • Join a high-impact engineering team focused on rapid innovation Full benefit package including medical, dental, life, vision, company paid short/long term disability, 401(k), tuition assistance and more. The anticipated salary for this position is $110,000 - $190,000 per year, based on qualifications and experience. FORTEGRA IS NOT ACCEPTING UNSOLICITED RESUMES FROM SEARCH FIRMS FOR THIS POSITION. Applicants must be authorized to work for any employer in the United States. We are unable to sponsor or assume sponsorship of employment visas at this time. We welcome applicants of all backgrounds and national origins. Fortegra has recently been made aware of unauthorized communications regarding career opportunities by individuals not associated with Fortegra or our recruitment team. Fortegra will only contact you from the Fortegra domain address (fortegra.com). If you receive a message from someone posing as a Fortegra recruiter via text message, WhatsApp, Telegram or other messaging platform, please report it as phishing and block the sender. Internal Notice: As part of our commitment to talent development, this position is open for internal promotion applications at the time of public posting. #LI-Onsite

Job Description Sourgum is transforming the $100B+ waste and recycling industry through cutting-edge technology that makes waste removal simpler, smarter, and more cost-effective. Our innovative haulsourcing platform powers high-quality waste and recycling services for businesses at significantly lower costs—saving our customers an average of 20%. Leveraging proprietary datasets, an advanced operating system, and a carefully curated network of 5,000+ trusted vendors, we help companies of all shapes and sizes streamline their operations while advancing sustainability efforts. We’re a fast-growing, venture-backed company (just closed our Series A!) on a mission to modernize an outdated industry — and we’re just getting started. Our investors include Spark Capital, Founder Collective, Suffolk Technologies, 186 Ventures, and River Park Ventures, the same funds that backed category-defining companies like Slack, Anthropic, Uber, Venmo, and Amazon Pharmacy. If you’re driven by the opportunity to build something groundbreaking, we’d love to meet you. The Team At Sourgum, we’re building the operating system for the waste and recycling industry—bringing transparency, standardization, and accountability to a historically fragmented space. Our platform connects customers with a nationwide network of local operators, powering everything from pricing and logistics to service quality and reporting. The Forward Deployed Engineering team sits at the center of this transformation. We work directly with customers and internal teams to design, build, and launch high-impact solutions that drive real operational outcomes across the Sourgum network. The Role As a Forward Deployed Engineer at Sourgum, you will partner directly with customers and internal stakeholders to architect, build, and deploy production-grade solutions on top of our platform. You’ll own the journey from initial problem discovery through deployment—translating messy, real-world operational challenges into scalable, reliable systems. This is a hands-on engineering role that blends software development with elements of product, operations, and customer-facing work. You’ll operate at the intersection of technology and the physical world, helping customers modernize how waste and recycling is managed across their locations. This role is ideal for entrepreneurial engineers who thrive in ambiguity, enjoy working closely with customers, and want to see their work drive tangible, real-world impact. What You’ll Be Doing Design, build, and maintain production-grade systems using general-purpose programming languages Partner directly with customers and internal stakeholders to understand operational challenges and translate them into scalable technical solutions Own projects end-to-end—from problem definition and solution design to deployment, monitoring, and iteration Work cross-functionally with product, operations, and engineering to deliver high-impact features and workflows Rapidly turn ambiguous goals into clear specifications, prototypes, and shipped solutions Optimize system performance, reliability, and efficiency across pricing, logistics, and service workflows Contribute to product development by identifying patterns across customer needs and helping shape roadmap and features Operate as both an engineer and problem-solver, balancing speed with long-term scalability Navigate ambiguity and make thoughtful tradeoffs to deliver simple, effective solutions Take ownership of outcomes, holding a high bar for execution and accountability The Qualifications You Need Bachelor’s or Master’s in Computer Science, Engineering, Mathematics, or a related field 2+ years of experience in a fast-paced, high-growth environment Strong experience with at least one general-purpose programming language in a production environment Experience building and maintaining production systems that interact with real-world operations or workflows Strong communication skills, with the ability to translate complex technical concepts into clear, actionable insights Comfort working directly with customers and cross-functional teams Ability to operate in ambiguous environments with a bias toward action and ownership Benefits Company stock options as part of your compensation package, giving you the opportunity to share in our company's success and build long-term financial growth. A positive and collaborative work environment with a focus on innovation and sustainability. Flexible/Unlimited PTO Comprehensive benefits package including health insurance (medical, dental, vision, LTD, Life Insurance, etc.), retirement plans (401K). Access to hundreds of gyms, studios, and wellness apps—all through one easy membership provided by your Wellhub. Yearly Personal Development Budget Opportunities for professional development and career advancement within a growing company.

A leading tech company is seeking a remote Computer Vision Engineer to design and implement models for tasks including object detection and image segmentation. The role involves collaborating with teams to develop AI solutions for international clients.

Big Data Engineering or ML Engineering. Previous experience working as an ML Engineer, including model deployment, monitoring, and feature engineering. We are seeking a seasoned Big Data & ML Engineer with a strong background partnering with Data Science teams.

Twelve-Factor Apps, Service Oriented Architectures / microservices / REST, DevOps, Continuous Deployment, and Site Reliability Engineering. We are seeking a highly skilled and experienced Senior Software Engineer with expertise in Azure Cloud and. This role involves designing, developing, and mainta

Job DescriptionAs an Identity Engineer, you will be responsible for supporting our clients by configuring, managing, and optimizing the SPHEREboard platform. You will play an integral role in understanding client needs, troubleshooting complex issues, and driving best practices in identity hygiene. You will also collaborate closely with cross-functional teams to ensure client environments are secure and functioning efficiently. This role requires a solid understanding of IAM principles, hands-on experience with security platforms, and the ability to manage multiple client projects. You will also contribute to ongoing product development by providing feedback and insights based on client interactions. Key Responsibilities: • Analyze, assess, and mitigate IAM security risks through detailed review of accounts, permissions, entitlements, and metadata., • Architect, install, implement, and optimize SPHEREboard across diverse client environments. Maintain high standards of accuracy and consistency in product deployment and operations., • Work closely with clients to gather requirements, configure the platform to meet specific needs, and provide training on effective use of SPHEREboard., • Develop and maintain technical design guides, policy documentation, and process runbooks to ensure accuracy and consistency., • Collaborate with cross-functional teams to develop, communicate, and implement risk remediation strategies. Escalate issues with urgency when necessary and ensure compliance with change control processes., • Use advanced data analytics to monitor and report IAM cybersecurity risks. Effectively communicate findings and remediation plans to clients and internal teams at all levels of the organization., • Complete projects on time, ensuring alignment with client engagements and Statements of Work (SOW)., • Participate in special projects involving Unstructured Data, Privileged Access, IAM, Active Directory, UNIX, and more. Requirements: • 3+ years of cybersecurity experience with a focus on IAM, AD, SQL and data analytics., • Strong experience deploying and managing security solutions across multiple client environments., • Hands on experience with IAM platforms and familiarity with industry-standard tools such as Varonis, StealthBits, Symantec, CyberArk, Centrify, BeyondTrust, SailPoint, OIM and others., • Proficiency in data analysis and reporting, with advanced skills in MS Excel and MS SQL., • In-depth understanding of infrastructure platforms like Active Directory, CIFS File Systems, Exchange, SharePoint, OneDrive, Teams, and SQL., • Strong critical thinking, problem solving, and analytical skills, with an ability to prioritize and manage multiple efforts simultaneously., • Excellent written and verbal communications skills, capable of translating technical information into actionable insights for various stakeholders., • Strong interpersonal skills, with the ability to build relationships with both clients and internal teams. Additional Requirements: • Willingness to work outside of standard business hours (evenings/weekends) when client requirements or project deadlines demand it., • Ability to work onsite at client locations in New York City/Northern New Jersey area as needed. About Sphere:SPHERE is the global leader in Identity Hygiene. We are dedicated to reshaping modern identity programs by embedding this foundational fabric, enabling organizations to quickly reduce risks. We work through an identity lens that protects an organization’s accounts, data, and infrastructure. Our solutions deliver immediate time-to-value by leveraging automation to discover, remediate and secure identities, now and forever. Driven by our core values of passion, empathy, and authenticity, our vision drives us to continually innovate, helping our clients to sleep better knowing their attack surface is drastically reduced, thwarting the plans of bad actors every single day. To find out more about SPHERE and our solutions, please visit www.sphereco.com SPHERE is an equal-opportunity employer. Applicants will be evaluated without regard to race, color, religion, sex, national origin, disability, veteran status, and other legally protected characteristics. Powered by JazzHR V03szCjxWl

Job Description Be Part Of A High-Performing Technology Team Join a forward-thinking Commercial Banking technology organization dedicated to building modern, scalable integration platforms that power mission-critical financial systems. This team operates at the center of enterprise application connectivity—designing and delivering high-performance middleware and API solutions that enable seamless communication across global systems and stakeholders. The environment is collaborative, Agile-driven, and innovation-focused, with engineers working closely alongside Product Owners, QA teams, architects, and international business partners. The team values clean architecture, engineering best practices, and thoughtful modernization, while maintaining the stability and rigor required in a regulated financial environment. This role offers the opportunity to contribute to enterprise-scale API platforms supporting global banking operations, including cross-border collaboration with Japanese and English-speaking stakeholders. What’s In Store For You • Opportunity to work on large-scale, customer-facing API platforms within Commercial Banking, • Exposure to modern cloud environments and DevOps practices, • Collaborative Agile team culture with strong engineering standards, • Long-term, high-impact initiatives focused on scalability and modernization, • Cross-regional engagement with global teams in both Japan and the U.S. How You Will Make An Impact • Design, develop, and maintain scalable middleware and RESTful API applications using Java and Kotlin, • Partner with global stakeholders (Japanese and English-speaking) to translate business requirements into technical solutions, • Contribute to application architecture and apply design patterns to ensure scalability and performance, • Write high-quality, maintainable code with unit testing and automation, • Participate in code reviews and promote engineering best practices, • Support CI/CD pipelines and deployment processes in cloud environments (AWS, Azure, or GCP), • Collaborate within Agile sprint cycles to prioritize and deliver features, • Troubleshoot and resolve production issues, ensuring system reliability and performance Are You a Proven Senior Middleware/API Engineering Professional Ready to Make an Impact in a Global Banking Environment? • 8–10+ years of application development experience, with strong expertise in Java (Kotlin experience is a plus), • Demonstrated experience designing and supporting customer-facing RESTful APIs, • Strong understanding of JSON, web services technologies, and data structures, • Experience applying design patterns in scalable, enterprise-grade applications, • Hands-on experience with Git, Jira, CI/CD tools, and DevOps practices, • At least 1 year of experience working with public cloud platforms (AWS, Azure, or Google Cloud), • Proven ability to deploy applications to production and support the full application lifecycle, • Experience working in Agile development environments, • Professional-level bilingual fluency in Japanese and English (written and verbal), with ability to collaborate across global teams, • Bachelor’s degree in Computer Science or equivalent experience, • Financial services or banking industry experience preferred, • Strong communication skills, self-starter mindset, and ability to work independently in a structured enterprise setting This is an opportunity for a senior-level engineer who thrives in global collaboration, values clean architecture, and is passionate about building reliable, scalable systems that power critical financial operations.

Job DescriptionDescription: Azure Cloud Infrastructure Engineer Location Hybrid / Remote (US) Role Overview We are looking for a Cloud Infrastructure & DevOps Engineer to help build, operate, and continuously improve the cloud platforms supporting SaleDock and Celerant retail systems. This role is responsible for managing Azure infrastructure, improving reliability, and developing automation that streamlines provisioning and deployment processes for new ecommerce customers. You will work closely with development and support teams to ensure our production and test environments are secure, scalable, and operationally efficient. Key Responsibilities Cloud Infrastructure & Operations • Build, manage, and maintain Azure cloud infrastructure supporting ecommerce and retail operations., • Administer production and test environments across Linux (and Windows where required)., • Monitor performance, capacity, uptime, and resource consumption across hosted applications., • Create and maintain dashboards and monitoring views to proactively identify issues., • Ensure high availability and reliability across customer-facing services. Automation & Deployment • Develop and maintain automation for provisioning, configuration, testing, and deployment., • Maintain CI/CD pipelines for ecommerce environments, including creating pipelines for new customer sites., • Improve and automate manual go-live processes for onboarding new ecommerce customers, including:, • Provisioning web applications, • Configuring custom domains and SSL validation, • Deploying environment-specific infrastructure and pipelines Support Tooling & Reliability • Develop internal tooling that enables support teams to monitor, restart, and manage endpoints/services., • Assist with incident response, troubleshooting, and root cause analysis., • Participate in an on-call or out-of-hours escalation rota (if required) to support uptime expectations. Security & Best Practices • Apply operational security best practices across the Azure environment., • Implement hardening, access controls, patching processes, and secure networking., • Ensure infrastructure is compliant with internal standards and industry best practice. Required Skills & Experience • Strong experience managing cloud infrastructure in Microsoft Azure., • Experience with Infrastructure as Code (Terraform, Bicep, ARM, etc.)., • Strong CI/CD pipeline experience (Azure DevOps, GitHub Actions, etc.)., • Experience supporting production workloads and diagnosing performance issues., • Solid understanding of networking concepts (VNets, subnets, routing, firewalls, DNS)., • Comfortable working with Linux administration (and Windows Server where relevant)., • Scripting / automation skills (PowerShell, Bash, Python, etc.)., • Familiarity with monitoring tools (Azure Monitor, Application Insights, Grafana, etc.). Nice to Have • Experience running multi-tenant ecommerce or SaaS platforms., • Experience with scaling strategies, load balancing, and resilience planning., • Understanding of security frameworks and governance in Azure (Defender, Policy, RBAC best practices)., • Experience building internal support tooling or operational dashboards. What Success Looks Like • Production and Test infrastructure with high uptime, security, and incident handling, • Faster and more automated ecommerce customer go-live processes., • Improved monitoring and visualization tooling, • Improved reliability and visibility of production systems., • Clear monitoring dashboards and proactive alerting in place.Requirements: Required Skills & Experience • Strong experience managing cloud infrastructure in Microsoft Azure., • Experience with Infrastructure as Code (Terraform, Bicep, ARM, etc.)., • Strong CI/CD pipeline experience (Azure DevOps, GitHub Actions, etc.)., • Experience supporting production workloads and diagnosing performance issues., • Solid understanding of networking concepts (VNets, subnets, routing, firewalls, DNS)., • Comfortable working with Linux administration (and Windows Server where relevant)., • Scripting / automation skills (PowerShell, Bash, Python, etc.)., • Familiarity with monitoring tools (Azure Monitor, Application Insights, Grafana, etc.).

Job Description Sourgum is transforming the $100B+ waste and recycling industry through cutting-edge technology that makes waste removal simpler, smarter, and more cost-effective. Our innovative haulsourcing platform powers high-quality waste and recycling services for businesses at significantly lower costs—saving our customers an average of 20%. Leveraging proprietary datasets, an advanced operating system, and a carefully curated network of 5,000+ trusted vendors, we help companies of all shapes and sizes streamline their operations while advancing sustainability efforts. We’re a fast-growing, venture-backed company (just closed our Series A!) on a mission to modernize an outdated industry — and we’re just getting started. Our investors include Spark Capital, Founder Collective, Suffolk Technologies, 186 Ventures, and River Park Ventures, the same funds that backed category-defining companies like Slack, Anthropic, Uber, Venmo, and Amazon Pharmacy. If you’re driven by the opportunity to build something groundbreaking, we’d love to meet you. The Role: We’re growing quickly and looking for a Backend Engineer who’s passionate about building scalable systems and enjoys bridging the gap between backend development and DevOps infrastructure. If you love working across services, solving complex problems, and shipping code that directly impacts real-world operations, we want to meet you. What you’ll be doing: Design, build, and maintain backend services and APIs using Node.js and TypeScript Collaborate with frontend engineers (React) to build clean, reliable integrations across the stack Manage and optimize PostgreSQL databases for performance, scalability, and reliability Develop infrastructure and deployment automation on AWS and GCP Contribute to CI/CD pipelines and DevOps tooling for faster, safer releases Monitor and improve system performance, uptime, and observability Work cross-functionally with product, design, and operations to turn requirements into production-ready features Help evolve our architecture as we scale to handle increasing traffic and data The qualifications you need: 3+ years of experience as a backend or full-stack engineer Strong proficiency with Node.js and TypeScript Experience building and maintaining RESTful or GraphQL APIs Hands-on experience with PostgreSQL or other relational databases Solid understanding of AWS and/or GCP infrastructure Familiarity with CI/CD pipelines, containerization (Docker), and infrastructure-as-code tools (Terraform or similar) Comfort working in a collaborative startup environment, taking ownership and moving quickly Strong communication skills and a mindset of continuous improvement. Benefits Company stock options as part of your compensation package, giving you the opportunity to share in our company's success and build long-term financial growth. A positive and collaborative work environment with a focus on innovation and sustainability. Flexible/Unlimited PTO Comprehensive benefits package including health insurance (medical, dental, vision, LTD, Life Insurance, etc.), retirement plans (401K). Access to hundreds of gyms, studios, and wellness apps—all through one easy membership provided by your Wellhub. Yearly Personal Development Budget Opportunities for professional development and career advancement within a growing company.

Job DescriptionThe Opportunity:The Implementation Engineer is responsible for the hands-on technical deployment, configuration, and validation of SPHEREboard within enterprise client environments. Working closely with the Implementation Manager, project stakeholders, and customer IT/security teams, this role ensures the successful integration of SPHEREboard with client infrastructure, identity systems, and data sources. This position requires strong technical troubleshooting skills, experience interacting directly with clients, attention to detail, and an understanding of enterprise security and identity governance ecosystems. Key Responsibilities:1. Deployment & Configuration • Install, configure, and validate SPHEREboard components, including connectors, agents, and data collectors., • Integrate SPHEREboard with Active Directory, Azure AD, Okta, LDAP, cloud platforms, and data repositories., • Execute technical implementation tasks according to project timelines and requirements., • Validate proper data ingestion, normalization, and visualization within SPHEREboard.2. Technical Discovery & Requirements Gathering, • Collaborate with the client and internal teams to collect technical and security requirements., • Analyze existing infrastructure and identify integration points with SPHEREboard., • Document all environmental configurations and technical assumptions.3. Troubleshooting & Issue Resolution, • Diagnose and resolve deployment issues related to network access, authentication, data pipelines, and connector configurations., • Work with Engineering and Product teams to escalate and resolve complex technical problems., • Implement solutions with a security-first mindset and in compliance with client policies.4. Documentation & Knowledge Sharing, • Create and maintain technical documentation for each deployment, including environment details, integration steps, and validation results., • Contribute to internal knowledge bases, deployment guides, and reusable scripts., • Provide feedback to Product and Engineering on platform usability and deployment challenges.5. Collaboration & Support, • Work under the direction of the Implementation Manager to execute scoped tasks and report status., • Participate in internal stand-ups, client check-ins, and retrospectives., • Support training and knowledge transfer to customer administrators’ post-deployment. Why Join Us:, • Deployment quality and accuracy (e.g., data integrity, connector success rate)., • Time-to-completion of assigned implementation phases., • Client satisfaction with technical execution., • Frequency and resolution time of escalated technical issues., • Adherence to internal processes, documentation, and quality standards. About Sphere:SPHERE is a leading innovator in Identity Hygiene/Intelligence space, helping global enterprises reduce risk, ensure compliance, and achieve security maturity. We work closely with an ecosystem of technology partners, integrators, and alliances to deliver solutions that protect what matters most — people, data, and trust. To find out more about SPHERE and our solutions, please visit www.sphereco.com SPHERE is an equal-opportunity employer. Applicants will be evaluated without regard to race, color, religion, sex, national origin, disability, veteran status, and other legally protected characteristics. Powered by JazzHR to2bcoz78S

Job Description Job Description: GCP Platform Engineer Location: Jersey City, Tampa, or Palo Alto (5 days onsite) Position Overview We are seeking a GCP Platform Engineer to support and evolve a large-scale Google Cloud Platform environment. This is a hands-on platform engineering role focused on building, operating, and maintaining shared cloud infrastructure that application and service teams depend on. The ideal candidate is a platform-minded engineer who takes ownership of cloud foundations—networking, identity, infrastructure as code, and deployment pipelines—ensuring reliability, security, and operational excellence across multiple environments. Key Responsibilities • Own and operate the GCP platform foundation, including infrastructure provisioning, CI/CD enablement, and operational support., • Manage and support CI/CD pipelines across multiple environments., • Use Terraform as the source of truth to provision, manage, and evolve GCP infrastructure., • Design, maintain, and execute operational runbooks., • Operate and support core GCP services across compute, networking, storage, and identity., • Support event-driven and messaging architectures., • Act as an escalation point for platform-level issues., • Partner with security and compliance stakeholders., • Enable application teams with stable, scalable platform capabilities. Required Qualifications • Strong hands-on experience with Terraform., • Deep understanding of GCP (Org, Folders, Projects, IAM, Networking, Compute, Storage)., • Experience with CI/CD pipelines and tooling., • Experience operating production GCP environments., • Strong troubleshooting skills., • Python for automation and tooling.

Job Description 2bridge has been engaged in the direct hire search for a Senior Full Stack Python Developer to join our Financial Client based near Colonia, NJ. They offer a comprehensive package including base, bonus, 401k, PTO, Medical, dental, and vision. Senior Software Engineer We seek several highly skilled Senior Software Engineers to join a dynamic team. In this role, you will design, develop, and maintain cutting-edge software solutions that drive business growth. Your expertise in full-stack development, cloud infrastructure, API integrations, and automation will be essential in delivering high-performance applications that scale efficiently. Key Responsibilities: Software Development & Deployment: • Design, develop, test, and deploy high-quality applications using Python, React, AWS, and modern scripting languages., • Implement scalable and maintainable software architectures that meet business requirements., • Collaborate with technical leads and stakeholders to translate needs into actionable development tasks. Cloud Engineering (AWS-Focused): • Utilize AWS services, including Lambda, DynamoDB, and cloud storage, to optimize application performance and scalability., • Ensure cost-effective and secure cloud-based application deployments., • Implement best practices in cloud security and performance optimization. API Development & Integration: • Design and maintain RESTful and GraphQL APIs for seamless integration across various platforms., • Ensure APIs adhere to performance, security, and scalability standards., • Work with modern API management platforms and cloud-based integration solutions. Scripting & Backend Development: • Leverage TypeScript, JavaScript, and Python to build robust and efficient software solutions., • Optimize cross-platform compatibility and ensure high-performance execution. Database & SQL Development: • Design and optimize SQL queries and database architectures to support application needs., • Ensure data integrity, security, and performance tuning within SQL-based systems. Collaboration & Agile Development: • Work closely with cross-functional teams, including product managers, QA engineers, and business stakeholders., • Participate in Agile/Scrum methodologies to drive project success., • Share expertise and mentor junior developers to foster a culture of technical excellence. Qualifications: • Bachelor's degree in Computer Science, Engineering, or a related field., • 6+ years of experience in software development and system architecture., • 6+ Experience building financial applications for wealth or portfolio management disciplines, trading, or financial applications., • Proficiency in React for building modern, responsive web applications., • Hands-on experience with AWS services (Lambda, DynamoDB, Redshift, cloud storage, etc.)., • Strong expertise in API development (REST, GraphQL, WSO2) and backend integration., • Advanced skills in TypeScript, JavaScript, and Python., • Experience in SQL development and optimization., • Knowledge of Agile/Scrum frameworks for managing and delivering projects., • Strong communication and problem-solving skills., • Preferred: Cloud certifications and experience in fintech, wealth management, or enterprise SaaS. Why Join our client? • Work on high-impact projects in a fast-paced, collaborative environment., • Be part of a team that values innovation, security, and scalable solutions., • Opportunities for career growth, professional development, and mentorship.

Fabric Data Engineer Associate Certified.Azure Synapse, Azure Data Factory, Azure Data Lake).Fabric (Data Factory, Synapse Engineering).Collaborate with business and engineering teams to translate complex.IaC) to automate deployment and ensure operational excellence.

The Cloud Solutions Network Engineer will partner with cross functional teams to deliver integrations and patterns across the defined product line for deployment teams to consume DTCC cloud platform in AWS to meet critical technology and business requirements. Connect with all levels of the organiza

MUFG is seeking a Senior Software Deployment and Patching Engineer in Jersey City to manage software deployment and patching processes. Candidates should have a Bachelor's in Computer Science and experience with application packaging and deployment.

As a Senior Principal Software Engineer at JPMorgan Chase in the Corporate Sector Technology team, you will drive architectural decisions, mentor engineering teams, and collaborate with stakeholders across Risk, Finance, and Technology. Lead the end-to-end design, development, and deployment of the

As a Data Science/Data Engineer Intern, you will work on cutting-edge analytical and data engineering projects that drive measurable business impact across pricing, underwriting, marketing, and claims. Understanding of data engineering concepts, ETL/ELT workflows, and machine learning deployment.

The ideal candidate has a Bachelor's Degree in Electrical Engineering and over 12 years of relevant experience. A leading technology infrastructure company is seeking a Principal Electrical Engineer.

We know that people are our greatest asset.Our staff's professionalism, innovation, teamwork, and dedication to excellence have helped us become one of the world's leading technology companies.It is these qualities that are vital to our continued success.As a Ness employee, you will be working on pr

A leading technology company seeks a Principal Systems Electrical Engineer in Secaucus, NJ. This role involves leading system architecture designs and mentoring engineers in high-speed PCB design. The ideal candidate has 12+ years of experience in the field and a Bachelor’s degree in Electrical En

THIS JOB DESCRIPTION WAS CREATED BY AI, REVIEW BEFORE POSTING.Project Manager - Intermediate.We are seeking a highly motivated and detail-oriented Project Manager - Intermediate to join our team.The ideal candidate will be responsible for managing and delivering projects on time, within scope, and w

Provide program management oversight over scope, schedule and budget of energy efficiency projects in compliance with the BPU Order and Clients procedures.Ensure projects meet all program requirements, including project scope and cost effectiveness.Develop and maintain the processes for implementing

Presently we are unable to sponsor and request applicants to apply who are authorized to work without sponsorship*.Location: Jersey City, NJ - Onsite.The ideal candidate will have strong experience in.Waterfall and Agile delivery, and stakeholder management.Develop project plans using work breakdown

JD Ross are looking for a Battery Energy Construction Project Manager to join their clients Projects & Engineering team. Collaborate cross-functionally with Development, Engineering, Asset Management, and Operations teams. Energy Storage Growth: Battery storage is a major focus area, offering en

Citizen; Minimum 2 years of project management or project engineering experience; Technical experience in electronics, radio frequency systems, photonics, engineering, and/or physics; and Experience in office automation software, specifically word processing, presentations, spreadsheets, email, and

Lead and manage design-build projects from preconstruction through closeout, coordinating architects, engineers, subcontractors, and clients to ensure seamless integration of design and construction phases. Bachelor degree in engineering/architecture/construction related field from an accredited col

Looking for Data Center Technician with following skills -.

Citizen; Minimum 2 years of project management or project engineering experience; Technical experience in electronics, radio frequency systems, photonics, engineering, and/or physics; and Experience in office automation software, specifically word processing, presentations, spreadsheets, email, and

We are seeking a motivated and detail-oriented Engineer to join PSE&G Planning department. Conduct complex power system engineering studies to determine the limitations (thermal, voltage, short-circuit, and stability) of the PSE&G transmission and distribution system. Perform engineering analysis (u

Please review the job description below and contact me ASAP if you are interested.Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).Impacts division and influences peers and team.Demonstrates g

Matlen Silver is recruiting for a IT Infrastructure Project Manager for our direct client's IT architecture and engineering team. This position will focus on an initiative to replace legacy technologies with new modern stacks including system engineering, relational database, and middleware teams. F

Candidates must be strong on Hadoop , Spark , PySparl and should be able write SQL Queries ; candidate will be a blend of Sr.Tech BA and some responsibility as PM.The primary purpose of this role is to play BA and Project Manager responsibilities for 1-2 delivery teams through Agile practices to del

JBAndrews is partnered exclusively with a leading engineering and manufacturing business specialising in high-bay warehouse (HBW) and ASRS solutions, supporting major customers across cold chain, manufacturing, and retail sectors. Coordinate internal engineering teams and external contractors. Engin

You have mentored other engineers and contributed to architecture reviews, engineering standards, and technical decision-making. Intellibus designs and engineers platforms trusted by some of the most established FinTech and financial trading firms in the world. Our engineering teams build systems th

Our client is a well-established and highly respected engineering and consulting firm with a strong presence throughout the Northeast. Utilize environmental software and standard engineering tools to analyze data and support project planning. Bachelor’s degree in Environmental Science, Environment