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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.

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.

IT Engineer Employment Type: Full Time, Salaried Location: Hybrid in Teaneck, NJ 07666 About the Role We’re looking for a hands-on IT Engineer to join our US-based IT team. This is a highly technical, hands-on role focused on infrastructure ownership, Microsoft cloud operations, security, and advanced troubleshooting in a fast-paced enterprise environment. You’ll work closely with global IT teams, support employees across multiple regions, and take part in ongoing IT projects while maintaining high standards of service, security, and reliability. This role reports directly to the Corporate IT Manager. Key Responsibilities • Own end-to-end troubleshooting and root cause analysis across hybrid Microsoft environments (Azure, Entra ID, Microsoft 365), as well as server, endpoint, and networking infrastructure., • Identify high-priority incidents, manage escalations, and ensure timely resolution according to defined processes., • Maintain oversight of the daily incident and service request queue, ensuring tickets are assigned and handled with minimal delay., • Escalate unresolved or systemic issues while maintaining ownership and clear communication., • Administer and support Windows and Linux servers, as well as domain-based workstation environments., • Manage and support Microsoft 365 services, including Exchange Online, Entra ID, Intune, SharePoint, and Teams., • Implement and maintain Microsoft security controls, including Defender policies and endpoint protection configurations., • Perform network and communication troubleshooting (LAN/WAN, VPNs, routing, DNS, DHCP, firewall rules)., • Monitor, audit, and analyze system and network activity to identify, mitigate, and respond to potential security incidents or vulnerabilities., • Support and participate in local, regional, and global IT projects., • Contribute to continuous improvement of IT processes, documentation, automation, and operational standards. Core Competencies • Infrastructure and Cloud Expertise: Demonstrates deep hands-on experience managing hybrid Microsoft environments, including Azure, Entra ID, Microsoft 365, identity management, networking, and enterprise security., • Advanced Troubleshooting and Root Cause Analysis: Owns end to end troubleshooting across infrastructure, cloud, and network environments, with the ability to manage high priority incidents and drive timely resolution., • Security and Risk Awareness: Monitors, audits, and strengthens security posture through implementation of Defender policies, endpoint protection, firewall configurations, and proactive vulnerability mitigation., • Operational Discipline and Process Ownership: Maintains oversight of ticket queues, manages escalations effectively, ensures thorough documentation, and contributes to automation and continuous improvement initiatives. Qualifications Education and Experience • Bachelor’s degree in computer science, Information Technology or a related field, or equivalent experience through certifications, vocational training, or hands on work., • Minimum 3+ years of enterprise-level experience in an IT role (preferably in a tech-driven organization)., • Hands-on experience with Windows & Linux Servers in an enterprise environment., • Strong hands-on experience with Azure IaaS and identity services., • Deep technical knowledge of Microsoft 365 and Entra ID, including policy configuration and security controls., • Strong understanding of cloud infrastructure concepts (identity, networking, security, access, automation)., • In-depth knowledge and hands-on experience with FortiGate firewalls., • Hands-on experience with Intune (device compliance, configuration profiles, Autopilot, app deployment)., • Hands-on experience with Microsoft Defender (Endpoint, Identity, or related security tools)., • Strong hands-on experience managing on-premises Active Directory (AD, GPO, DNS, DHCP) in hybrid environments., • Strong understanding of networking and communication troubleshooting., • Proven ability to provide professional, courteous, and effective end-user support., • Experience working with ITSM / ticketing systems. Required Qualifications • Deep hands-on experience with Entra ID, including application integration, authentication flows, and Conditional Access policy enforcement, • Strong hands-on experience managing Azure environments, including infrastructure, networking, and IAM/RBAC access control, • Practical experience implementing and operating Zero Trust security models in enterprise environments, • Hands-on experience deploying, configuring, and administering Windows Server environments (e.g. IIS, SQL, etc.) Preferred Qualifications • Microsoft certifications (Azure, Security, or related), • Proficiency in automation and scripting, such as: PowerShell, Bash, Python, • Experience supporting Linux and macOS environments, • Experience working with Cloudflare platform and related services, • Experience with IT Procurement (working with vendors, purchasing, and processing budgets) Base Salary Range: $105,000.00-$130,000 annually This position offers a competitive salary package that is commensurate with your years of experience in the field and the specific skills you bring to the role. Benefits • Comprehensive health benefits including medical, dental, and vision with a robust wellness program, • Generous paid time off policy, • Company matched 401(k) retirement plan, • Tuition reimbursement to support continued education and career development, • Employee Assistance Program offering confidential counseling and support services, • Discretionary employee bonus program, • Employee discounts and perks through our PEO Made4net is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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.

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.

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 Job Title: Solutions Sales Engineer Location: Hoboken, NJ or Remote with Travel Division: Revenue Department: Customer Success About Us: Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated photonics company that provides accessible and affordable quantum machines to the world today. QCi products are designed to operate at room temperature and low power at an affordable cost. The Company’s portfolio of core technology and products offer unique capabilities in the areas of high-performance computing, artificial intelligence, cyber security as well as remote sensing applications. Position Description: The Senior Solutions Sales Engineer is a high‐impact, customer‐facing role responsible for driving both technical adoption and revenue growth. This role blends solutions engineering, sales engineering, product expertise, Python prototyping, and hands‐on deployments for QCi’s quantum and quantum‐inspired computing platforms. You will support the full customer lifecycle: pre‐sales discovery, demos, proof‐of‐concepts, deployment, onboarding, troubleshooting, and long‐term adoption. You should be equally comfortable designing technical solutions, presenting to customers, and rolling up your sleeves during on‐site installs for multi‐day engagements. Ideal for someone who thrives in emerging technology, enjoys field work and collaboration, and can translate complex quantum concepts into practical business value. Duties and Responsibilities: • Serve as the primary customer‐facing technical lead, handling discovery, demos, support, and ongoing guidance., • Review, triage, and route support tickets while maintaining clear communication with customers and internal teams., • Develop Python‐based proofs‐of‐concept to validate use cases and demonstrate platform capabilities., • Lead on‐site deployments, integrations, and user onboarding (including multi‐day customer visits)., • Translate quantum and reservoir computing concepts into practical business value for diverse audiences., • Support the sales cycle through technical discovery, demos, solution design, and proposal inputs., • Represent QCi at conferences and events by delivering live demos and engaging prospects., • Capture customer feedback and insights to inform product improvements, documentation, and internal workflows., • Collaborate cross‐functionally with Sales, Engineering, Product, Data Science, and Marketing to deliver tailored solutions and aligned customer experiences. Required Skills and Experience: • Bachelor’s degree in Computer Science, Engineering, Physics, Applied Mathematics, Information Technology, Natural Sciences, or related technical/business field., • Master’s degree or quantum/AI focus preferred., • 5–8+ years in customer‐facing technical roles (Solutions Engineering, Sales Engineering, Technical Account Management, Customer Success Engineering, Application Engineering)., • Strong track record supporting sales cycles, delivering demos, and enabling technical decision‐making., • Advanced Python proficiency, including scripting, prototyping, data libraries (pandas, numpy), and experience supporting embedded software or internal tools., • Understanding of resource access, system permissions, APIs, and basic architecture principles., • Experience in on‐site deployments, system integrations, hardware/software configuration, and troubleshooting., • Confident public speaker capable of representing QCi at industry events and customer briefings., • Excellent written/verbal communication and the ability to break down complex concepts for any audience., • Strong organization, prioritization, and problem‐solving skills in fast‐moving environments., • Experience with collaboration/support tools such as Jira, Confluence, Salesforce, and ticketing systems., • Willingness to travel 30–50%, including multi‐day onsite customer engagements (3–5 days).

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 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 DescriptionAkamai Expert Engineer (Green Card/USC) Core skills Manage confirmation for Akamai Automation of configuration mgt in Akamai tool Very hands on with Akamai CDN Responsibilities: Design, develop, and implement automation solutions for Akamai configurations. Create and maintain scripts and tools to automate the deployment and management of Akamai services. Collaborate with development, operations, and security teams to integrate automated Akamai solutions into the overall infrastructure. Monitor and analyze the performance of automated configurations to ensure optimal operation. Troubleshoot and resolve issues related to automated Akamai configurations. Qualifications: Extensive experience with Akamai technologies, including CDN, WAF, and other performance and security solutions. Strong proficiency in scripting languages such as Python, Perl, or Shell. Experience with automation tools and frameworks (e.g., Ansible, Terraform, Jenkins). Strong communication and collaboration skills.

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 Description We are looking for a Senior Software Engineer. Our product is built from day one as a modern API First microservice architecture (Scala, ReactJS, TypeScript) with true continuous delivery and a deep investment in automated testing. This role reports to the Director of Engineering for the team and is based out of our Hoboken office. You Will: • Manage delivery of new features for the organization, • Share technical architecture with other members of the technology organization, • Promote technical design and coding standards that raise the technical bar of the team and product, • Propose and develop features, tooling, and infrastructure to scale the product, • Bring a rigorous approach to delivering quality software / verification of works as intended, • Focus on stability, metrics, and moving fast with confidence while iterating work with a modern cloud-based microservice architecture really learn how to deliver quality software efficiently with Global-e’s unique software development lifecycle, • Write code mostly in Scala. There is no need-to-know Scala in advance, just a desire to learn Requirements You Are: • Curious and enthusiastic for tackling tough problems and deliver, • Always learning and hungry for new knowledge and skill sharing, • A great verbal and written communicator – you’ll be part of a team and will be collaborating with stakeholders across the business, • A deep problem solver – the ability to analyse a business or technical problem and select the most appropriate solutions, • A multi-tasker with the ability to manage unplanned work without impacting committed, high priority deliverables, • A strong believer that great teams are necessary to create world class products. Willing to invest the time to build strong relationships and help others on the team grow You Have: • 6+ years of experience building highly scalable consumer-facing applications, • E-commerce experience, • Experience with Agile, Continuous Integration, Continuous Deployment, • Strong database experience, especially around scaling applications

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 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 Description Title: System Application Engineer Location: Teaneck, NJ Position Summary: Hanwha Vision America (HVA), an affiliate of the Hanwha Group, a Fortune Global 500 company, is an industry-leading provider of advanced network video surveillance products. These include IP cameras, storage devices, and video management systems founded on world-class technologies. We offer end-to-end security solutions and have achieved global success across a wide range of industry verticals, including transportation, education, retail, banking, healthcare, hospitality, airports, utilities, and critical infrastructure. Hanwha Vision America seeks a highly experienced System Application Engineer to join our support team. In this position, you’ll be responsible for post-sales incidents and problem escalation, focusing on identifying root causes and providing resolutions in complex environments. You’ll also ensure proper testing, documentation, and deployment of workarounds and fixes, in addition to training the support team on how to resolve related incidents in the future. Key Responsibilities: • Technical, • Reproduce, document, and report product issues escalated from technical support or Field Applications Team to Product Managers, • Writing Sample required, • Test, document, and deploy workarounds for fixes in development, • Update and manage the issue log, • Own complex support cases for business-critical customers, • Training, • Serve as Subject Matter Expert regarding the Hanwha Vision product line,, • Providing Product training to the Technical Support Team, focusing on best practices in troubleshooting and product configuration Qualifications: • Previous Experience in customer/end-user-facing roles, • Korean Language required, • Ability to travel on short notice. Travel (15-25%), • Excellent understanding and troubleshooting capabilities of intricate network-based security systems, • Proven Aptitude in Root Cause Analysis, • Excellent ability to communicate complex ideas both verbally and in writing, • Certifications in, • CCNA/CCNE/Network +, • Linux +, • ASW or other Cloud Certification, • In-depth knowledge of Incident and Problem management, • Self-motivated and proven time management capabilities, • 3-5 years’ experience supporting IP-based security systems or a related industry preference Physical Demands: • Sitting/Travel: The role requires extended periods of sitting, including time spent traveling by car or plane, attending meetings, and working on a laptop or mobile devices while in offices, client locations, or remote settings. The position also involves periods of standing and walking during client visits and events. Hanwha Vision America provides equal employment opportunities to all employees and applicants for employment. It prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

Job Description Position Title: Sr AI Engineer Location: Paramus, NJ Duration: 06 Month Contract Status: Hybrid Employment Type: Contract role on W-2 through Above and Beyond Talent Acquisition, Inc. (A&B Talent) Pay Range: USD $135 an hour W2 Client Info / Who they are: Above and Beyond Talent Acquisition proudly represents our Client, a global leader in water, waste, and energy management. The client offers a full spectrum of water, waste, and energy management services, including water and wastewater treatment, commercial and hazardous waste collection and disposal, energy consulting, and resource recovery. The client helps commercial, industrial, healthcare, higher education, and municipality customers throughout North America. The client has approximately 10,000 employees working at over 350 locations across the continent. Requirements / Who we are looking for: • 10–15 years of overall software engineering experience., • 5+ years of hands-on experience in Artificial Generative Intelligence, including LLMs, SLMs, RAG, and multi-agent systems., • Deep expertise in Google AI ecosystem: Gemini, Vertex AI, Google ADK, Google AI Studio, and Google Workspace integrations., • Proficiency in Python (primary) and familiarity with Node.js., • Strong background in cloud-native development on GCP., • Demonstrated experience with model fine-tuning (LoRA, QLoRA, PEFT) and model evaluation frameworks., • Solid understanding of MLOps, CI/CD for AI systems, and production deployment best practices., • Experience with multi-agent AI architectures using Semantic Kernel, or LangGraph., • Preferred Qualifications, • Google Cloud Professional certifications ( Professional ML Engineer, Professional Cloud Architect), • Contributions to open-source AI/ML projects., • Experience with edge AI deployments and hybrid cloud-edge inference., • Familiarity with synthetic data generation pipelines., • Prior experience mentoring junior engineers or interns in AI/ML domains. Performance Objectives / What you'll be doing: 1. Large & Small Language Model Engineering • Design, develop, and deploy Agents leveraging commercial LLMs such as Gemini (Google), GPT (OpenAI), and Claude Sonnet (Anthropic) for high-performance, large-context, and multimodal tasks., • Work with open-source/self-hosted LLMs including Mixtral (Mistral AI)., • Architect and implement SLM-based solutions using lightweight models such as Phi-3 (Microsoft), Gemma (Google), and Mistral for resource-constrained environments., • Lead fine-tuning and customization of models using Vertex AI Tuning, Hugging Face Transformers, and parameter-efficient fine-tuning (PEFT) methods including LoRA and QLoRA., • Apply training frameworks such as PyTorch, TensorFlow, or JAX for model experimentation and development., • Generate synthetic data and evaluate models using HELM, lm-evaluation-harness, and custom benchmarks. 1. Google AI & Workspace Integration • Lead the design and implementation of AI-powered solutions deeply integrated with Google Workspace (Docs, Sheets, Drive, Gmail, Meet), Big Query and Lakehouse., • Architect and build intelligent agents and workflows using Google Agent Development Kit (ADK)., • Leverage Google AI Studio as the primary IDE, VSCode for AI application development and prototyping., • Utilize Google Cloud Platform (GCP) services including:, • Vertex AI for ML model training, tuning, and deployment, • GKE (Google Kubernetes Engine) for container orchestration, • Cloud Run for serverless deployment, • Cloud Functions for event-driven AI tasks, • Vertex AI Vector DBs for semantic search and retrieval 1. Design & Planning • Lead requirements gathering using Confluence for documentation and team collaboration., • Create detailed system architecture diagrams and AI workflows using Lucidchart., • Design UI/UX prototypes in Figma for AI-powered application interfaces., • Manage project delivery and sprint planning using Jira., • Oversee data preparation and management: cleaning, transforming, and organizing data for AI/ML workflows., • Conduct data analysis using Jupyter Notebooks and pandas for exploration and preprocessing., • Leverage Hugging Face Model Hub for model comparison, selection, and download. 1. Development Frameworks & Tools • Orchestrate LLM/SLM applications using LangChain, LlamaIndex, and LangGraph., • Build multi-agent systems with Semantic Kernel, and LangGraph., • Manage and optimize prompts using LangSmith and PromptLayer., • Deploy models locally with Ollama or at scale with vLLM for efficient inference., • Track experiments, metrics, and results with MLflow or Weights & Biases., • Manage code and data versioning with Git. 1. Vector Databases & Semantic Search • Implement semantic search and Retrieval-Augmented Generation (RAG) pipelines using Vertex AI Vector DBs and ChromaDB., • Design and optimize end-to-end RAG architectures for enterprise-grade knowledge retrieval. 1. Backend Development • Develop robust RESTful APIs using FastAPI (Python) or Express.js (Node.js)., • Manage and secure APIs using Mulesoft, Apigee. 1. Frontend Development • Build modern user interfaces using React or Angular., • Utilize Material-UI for consistent, accessible, and modern UI components., • Prototype and plan UI/UX workflows using Figma. 1. Development Tools & Code Quality • Write and debug code in VS Code with Python and GitHub Copilot extensions., • Leverage GitHub Copilot for AI-assisted code suggestions and productivity., • Manage source code with GitHub or GitLab., • Enforce code quality and standards using SonarQube, ESLint, and Pylint. 1. Testing & Quality Assurance • Conduct LLM-specific testing using RAGAS and DeepEval for LLM/RAG pipeline evaluation., • Use LangSmith Evaluators for prompt testing and hallucination detection., • Write and execute unit tests using pytest., • Ensure output quality and reliability using LangChain Evaluators and custom metrics. 1. Deployment & Infrastructure • Orchestrate containers at scale with Kubernetes (K8s), and Google GKE., • Automate CI/CD pipelines using GitHub Actions or GitLab CI., • Support on-premise, cloud (GCP/Vertex AI), and hybrid infrastructure deployments including edge devices for local inference. 1. LLM Monitoring & Observability • Monitor LLM performance and usage with LangSmith and Weights & Biases., • Track and optimize AI infrastructure costs using OpenMeter and custom dashboards., • Set up continuous evaluation pipelines to ensure ongoing model quality and reliability., • Monitor application and model performance end-to-end with LangSmith observability tools. Perks of working with US / What We offer: • Competitive Salary., • Health, dental, and vision insurance., • Company 401K plan The salary, other compensation, and benefits information are accurate as of the date of this posting. The Company reserves the right to modify this information at any time, subject to applicable law. “Above and Beyond Talent is an equal opportunity employer and staffing firm.”

Job DescriptionCompany Description On-Site 1yr contract $10950/month About the Role We are seeking a Senior Generative AI Engineer to design, build, and deploy production-grade AI applications powered by large language models (LLMs). In this role, you will lead the end-to-end development of Generative AI solutions, including LLM-powered applications, retrieval-augmented generation (RAG) systems, agentic workflows, model evaluation pipelines, and production infrastructure. You will work cross-functionally with product, finance, data, and business stakeholders to translate real-world business problems into scalable AI systems that deliver measurable value. Job Description • Design and develop algorithms for generative models using deep learning techniques, • Design and build LLM-powered applications for internal and/or customer-facing use cases, • Develop and productionize RAG pipelines using enterprise data sources, vector databases, and retrieval systems, • Build and optimize AI agents / agentic workflows for task automation, reasoning, and orchestration, • Integrate model providers such as OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, and open-source models where appropriate, • Create robust evaluation frameworks for response quality, factuality, latency, safety, and reliability, • Implement prompt engineering, structured outputs, tool calling, and model optimization strategies, • Deploy scalable AI services to cloud environments using modern software engineering and MLOps practices, • Build monitoring, observability, and feedback loops for model and application performance in production, • Establish and maintain guardrails, responsible AI practices, and security controls for enterprise AI systems, • Collaborate with product managers, designers, and business stakeholders to identify high-impact AI opportunities, • Mentor other engineers and contribute to architecture, technical direction, and engineering best practices Qualifications • Bachelor’s degree in Computer Science, Engineering, Machine Learning, or a related field, • 5+ years of software engineering, machine/deep learning engineering, or applied AI experience, • 2+ years of hands-on experience building and deploying Generative AI / LLM-based systems in production, • Strong programming skills in Python and experience with backend/API development, • Experience with LLM application development, including prompt engineering, RAG, tool use, and structured output design, • Experience in optimizing RAG pipelines using both structured and unstructured data, • Experience with orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent, • Experience in generative AI techniques such as GANs, and VAEs, • Hands-on experience with vector databases / retrieval systems such as Pinecone, Weaviate, Chroma, FAISS, Elasticsearch, or Azure AI Search, • Experience with cloud platforms such as AWS, GCP, or Azure, • Experience with Docker, Kubernetes, CI/CD, and production deployment practices, • Strong understanding of software architecture, scalability, reliability, and distributed systems, • Experience building evaluation, testing, and monitoring for AI systems, • Strong communication skills and ability to work closely with technical and non-technical stakeholder Preferred Qualifications • Experience fine-tuning or adapting open-source LLMs, • Advanced knowledge of natural language processing for text generation tasks, • Experience with PyTorch, TensorFlow, JAX, or related ML frameworks, • Experience with MLOps tools such as MLflow, SageMaker, Vertex AI, Azure ML, Kubeflow, or similar, • Experience building multi-agent systems or advanced orchestration workflows, • Experience with AI safety, guardrails, red-teaming, privacy, and governance, • Familiarity with search, ranking, recommendation, conversational AI, or enterprise knowledge systems, • Experience in customer-facing or enterprise SaaS products, • Experience in semiconductor/manufacturing, retail and e-commerce sectors Additional Information All your information will be kept confidential according to EEO guidelines.

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.

Job Description We are looking for a System Engineer with DevOps experience to join our team. The ideal candidate will have 2–3 years of experience in system administration, automation, cloud infrastructure, and deployment support, with hands-on experience in Kubernetes, Python, Helm, and Terraform. Key Responsibilities • Manage and support system infrastructure, servers, and environments., • Build and maintain CI/CD pipelines and deployment automation., • Work with Kubernetes to deploy and manage applications., • Develop automation scripts using Python., • Create and maintain Helm charts for application packaging and deployment., • Use Terraform to provision and manage infrastructure., • Troubleshoot system, application, and deployment issues., • Monitor performance, availability, and reliability of systems., • Collaborate with development, QA, and operations teams. Requirements Required Skills • 2–3 years of experience in system engineering, DevOps, or infrastructure support., • Strong hands-on experience with Kubernetes., • Proficiency in Python scripting., • Experience with Helm and Terraform., • Good knowledge of Linux systems and networking fundamentals., • Familiarity with Docker and cloud environments., • Experience with CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or Azure DevOps., • Strong analytical and troubleshooting skills. Preferred Skills • Exposure to Azure, AWS or GCP., • Experience with monitoring tools like Prometheus, Grafana, Datadog, or ELK., • Understanding of infrastructure automation, containerization, and release management. Knowledge of security and access management best practices. Benefits • Comprehensive health coverage, including dental and vision, • 401(k) retirement plan, • Eligibility for annual performance bonuses

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.

Job DescriptionSalary: Competitive salary range: Based on experience and market value Role: AI/ML (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: 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 clients. About Adidev Technologies Inc. Adidev Technologies,(www.adidevtechnologies.com) 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. What Youll Bring Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data Engineering background, especially in one of the major clouds. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. 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. 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

Job Description AWS DevOps Engineer Locals only Min experience should be 10 years 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 troubleshooting skills across pipelines, infrastructure, and applications Nice to Have • Limited exposure to Windows environments Profile • 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 Other Details about the Job • 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., • Compensation for Cloud System Admin will range from $90,000 to $120,000 based on experience, if your experience falls outside required ranges compensation may be based on other open roles. Powered by JazzHR Yc2tqWKrFD

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 troubleshooting skills across pipelines, infrastructure, and applications Nice to Have • Limited exposure to Windows environments Profile • 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 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 troubleshooting skills across pipelines, infrastructure, and applications Nice to Have • Limited exposure to Windows environments Profile • 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 Other Details about the Job • 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., • Compensation for Cloud System Admin will range from $90,000 to $120,000 based on experience, if your experience falls outside required ranges compensation may be based on other open roles. Powered by JazzHR I1Diud668z

Job DescriptionCompany Description Sr. AV Project Manager Location: Ridgefield Park, NJ Work Type: On-site Salary: $7,380 / month Job Overview We are seeking an experienced Senior AV Project Manager to lead enterprise-level Audio/Visual (AV) system design, consulting, and project execution. This role requires a technically strong professional who can bridge business needs with AV technology solutions, manage projects from planning to completion, and provide hands-on support during system deployment. The ideal candidate will have experience designing enterprise video conferencing systems, managing AV integrations, and working directly with clients and cross-functional technical teams. Job Description Key Responsibilities Client & Business Engagement Act as the primary AV subject matter expert (SME) for clients and internal teams Conduct needs assessments and recommend scalable AV solutions Present AV technologies including video conferencing and collaboration platforms Translate business requirements into technical system designs Maintain strong relationships with customers, vendors, and integration partners AV System Design & Engineering Design and engineer enterprise AV systems including: Video conferencing rooms (Huddle, Conference, Boardroom, Training Rooms) Collaboration spaces and multi-purpose environments Digital signage and integrated AV systems Experience with: Cisco video conferencing solutions (Room Series, Codec platforms) Poly collaboration systems Cisco Webex Microsoft Teams Zoom Additional responsibilities include: Signal flow design Network integration DSP configuration concepts Control systems integration Project Management & Leadership Lead AV projects from concept through completion Manage internal technicians and external integration partners Develop project timelines, milestones, and resource plans Coordinate with IT, networking, facilities, and construction teams Ensure projects are delivered on time and within scope and budget Identify and mitigate technical and operational risks BoM & Commercial Review Develop detailed Bills of Materials (BoM) for AV systems Validate vendor quotations and equipment compatibility Ensure alignment with project scope and budget Support procurement and cost optimization strategies Documentation & Reporting Define project scope clearly for clients and integration teams Produce technical documentation and system diagrams Prepare completion reports including: As-built documentation Equipment lists Test results Client sign-off documentation Installation Oversight & Technical Support Oversee AV installation and commissioning Support system testing and user acceptance Troubleshoot video conferencing and AV integration issues Provide end-user training and executive-level support Qualifications Education Bachelor’s degree in Network, Telecommunications, Audio/Visual, or related field Experience 7+ years of AV system design, integration, or project management experience preferred Experience managing enterprise AV deployments Strong understanding of IP-based AV and networking fundamentals Experience working with unified communication platforms Skills Strong communication skills with executives and technical teams Ability to lead cross-functional teams Strong documentation and reporting capabilities Detail-oriented with strong decision-making ability Ability to work in fast-paced environments Additional Requirements Travel up to 50% Proficiency in Microsoft Office (Word, Excel, PowerPoint) Preferred Qualifications Experience with enterprise AV environments Preferred Certifications AVIXA CTS / CTS-D / CTS-I PMP Certification Additional Information All your information will be kept confidential according to EEO guidelines.

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.

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

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.

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

Controls Deployment Engineer will own and lead the deployment, integration and commissioning of data center building automation controls systems, such as Building Management Systems (BMS), Electrical Power Monitoring Systems (EPMS), and custom customer monitoring solutions. Bachelor’s degree in me

Senior Software Engineer – Windows Deployment Platform. We provide the tooling Bloomberg engineers use to manage their deployments and machines, enabling them to easily follow modern industry best practices, reduce risk, and increase output. Bloomberg’s Packaging team manages the deployment syst

Senior Distinguished Engineer -Deployment Resiliency (Remote Eligible). Capital One is seeking a Senior Distinguished Engineer to steward the technical strategy for our software delivery ecosystem. Richmond, VA: $286,200 - $326,700 for Sr Distinguished Engineer.

A global financial services firm seeks a Senior Software Engineer to lead the expansion of their Windows deployment platform.

Ideal candidates will have a strong software engineering background, experience with cloud deployments, and a passion for innovative AI solutions. A technology company in San Francisco seeks a Forward Deployed Engineer to lead AI-driven enterprise solutions.

A tech company is seeking a Deployed AI Engineer to work with development teams in the United States.

Zachary Piper Solutions is looking for a Forward Deployed Engineer to support the deployment of a GenAI platform within federal environments.

Momentum Controls Software And Services is seeking an Optical Deployment Engineer for a fully remote position. This role involves supporting field engineers to enhance network capacity, and commissioning and provisioning new routes.

Position Overview The Deployment Engineer will play an integral role in delivering our products to clients, collaborating closely with the commercial and engineering teams to ensure a seamless sales, integration, and deployment process. Serve as the primary customer contact for the deployment and in

A leading aerospace and defense contractor is seeking an Air Vehicle System Test Engineer to join their team. The role involves extensive travel and deployment for up to 24 months internationally. The ideal candidate must have a Bachelor's in STEM, with at least 8 years of engineering experience, an

A leading software development platform seeks an experienced Software Engineer to own and evolve the deployment systems. This remote role requires a strong background in software engineering and experience working as part of a distributed team.

Key Responsibilities ✓ Lead deployment and integration of Nokia SDL / One‑NDS solutions in 5G Core networks ✓ Validate cloud environments, including images, flavors, and networking configurations ✓ Prepare detailed Method of Procedures (MOPs) and deployment documentation ✓ Perform inst

A tech-driven company is hiring a Forward Deployed Engineer to collaborate with government and enterprise clients.

Collaborate with product and engineering teams to provide field feedback and drive product enhancements based on real-world deployments. Cross-Functional Collaboration Work closely with sales engineers to ensure a seamless transition from pre-sales design to post-sales deployment. Manage post-insta

Jumio is seeking a Software Engineer III for their ML Infrastructure team. Candidates should have 5+ years of software engineering experience, expertise in Python, and hands-on experience with AWS serverless architectures and MLOps tools.

A logistics technology company seeks a Deployment Engineer to facilitate product delivery and customer installations across North America.

Array is seeking a Deployment Engineer to work with SaaS products and ensure technical visions are implemented in client delivery. Candidates should have 5+ years in deployment or systems engineering, strong technical skills, and a results-oriented mindset. The role involves leading multiple project