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You will join a dynamic team working at the cutting edge of the GenAI revolution by applying AI to AI. You will work on building agents, tools, and models to simplify and accelerate customer adoption of Neuron, the software stack supporting Amazon's Machine Learning silicon: Trainium. Partnering with external and internal customers, you will identify key obstacles and opportunities to accelerate their migration to AWS's ML silicon. You will be a key contributor driving impact by building AI agents and tools that simplify Amazon Neuron adoption, which is critical to Amazon's Generative AI business. Key job responsibilities This role requires collaborating with other Neuron Software teams, Science, AWS AI Services, external partners and customers with a potential high impact on Amazon's top and bottom line. As a member of the team applying Generative AI to accelerate Neuron adoption, you will play a key role in shaping this space with the following technical responsibilities: • Research implementations that deliver the best possible experiences for customers., • Deliver on goals to improve the time and effort it takes to port and optimize Machine Learning workloads on Neuron., • Build and operate agentic evaluation frameworks, monitoring, and feedback loops that ensure the correctness, reliability, and continuous improvement of AI agents, • Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security., • Build high-quality, highly available, always-on products., • Potentially contribute intellectual property through patents About the team We pursue the ambitious goal of leveraging and expanding Generative AI technologies to help customers benefit from the scale and price/performance equation offered by Amazon Machine Learning hardware. The creation of the team in NYC is key to Annapurna Labs’ location strategy, with the goal of creating an additional hub attracting top talent with varied backgrounds to work on challenging problems, using and building state-of-the-art tooling. About Amazon Annapurna Labs: Amazon Annapurna Labs team (our organization within AWS UC) is responsible for building innovation in silicon and software for our Amazon customers. We are at the forefront of innovation by combining cloud scale with the world’s most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design, software and operations. Because of our team’s breadth of talent, we have been able to improve AWS cloud infrastructure in high-performance machine learning with Neuron, Inferentia and Trainium ML chips, in networking and security with products such as Nitro, Enhanced Network Adapter (ENA), and Elastic Fabric Adapter (EFA), and in computing with Graviton and F1 EC2 instances. • 3+ years of non-internship professional software development experience, • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience, • 1+ years of software development engineer or related occupational experience, • 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience, • 1+ years of Object Oriented Design experience, • Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field, • Experience programming with at least one software programming language, • 3+ years of relevant, broad engineering experience., • Computer Science core: object-oriented design, data structures, and performance analysis with at least 2 programming languages., • Hands-on technical experience working in the Generative AI space, • Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations., • Experience in one or more of the following areas: ML compilers, production coding agents, GenAI model architecture, model training, neural network optimization, or alternatively applied math., • Passion for customer experience and usability, including successful delivery of customer self-service tools and automated management/optimization of services, and a strong services orientation, • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience, • Bachelor's degree in computer science or equivalent, • Bachelor's or Master's degree in computer science or equivalent, • 2+ years in machine learning or other computational modeling environments with an emphasis on hosting, building or optimizing models for diverse hardware platforms, • Proven track record in building AI agents that automate ML workload optimization, ML compiler tuning, distributed inference and training, or ML kernel authoring and optimization, • Experience working with open-source software communities in the optimization space or related areas, • Domain-level knowledge of AWS services, • Knowledge of the state-of-the-art technology used in the Machine Learning space and its mathematical underpinning Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit _ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, NY, New York - 158,100.00 - 213,800.00 USD annually

Responsibilities \n\n • Independently lead a data engineering team delivering Process Intelligence solutions using Celonis.\n, • Remain hands-on – develop and deploy Process Intelligence solutions alongside the team.\n, • Collaborate with stakeholders to gather requirements and translate them into technical specifications.\n, • Lead the setup of data extraction pipelines with both out-of-the-box connectors as well as building custom connectors.\n, • Strong working knowledge of Celonis ETL capabilities – Extraction, SQL Transformations, Data Pools and Data Jobs.\n, • Experience working with Vertica SQL to create custom activities in Celonis.\n, • Experience in optimizing the performance of data pipelines.\n, • Analyze process data to identify inefficiencies and recommend improvements.\n, • Allocate work, review deliverables, and mentor data engineers within the team.\n\n Technical Qualifications / Skills \n\n • Strong working knowledge of Knowledge Models, Views, Analysis.\n, • Strong working knowledge of Celonis front end functions – PQL, PU functions.\n, • Develop the integration of Process Intelligence tools with existing systems.\n, • Serve as a liaison for the business analyst, project manager and client.\n, • Lead discussions on operationalization of Celonis through usage of Action Flows, Action Views and Machine Learning capabilities.\n, • Well versed with latest AI capabilities for Process Intelligence in Celonis.\n, • Keen learner and up to date with latest capabilities of Celonis.\n\n Business / Soft skills Qualifications / Skills \n\n • Understanding the business requirements thoroughly to identify the technical requirements.\n, • Taking Initiative (Resourcefulness) and asking clarifying questions to ensure the build is robust and designed on best practices.\n, • Focusing on Performance (Ensures Accountability, Delivers consistent results).\n, • Ensures sufficient unit testing before releasing the build for functional testing.\n, • Ability to lead a team independently in a contracting model with minimal onboarding ramp-up.\n\n Minimum qualifications \n\n • Must have a minimum of 8+ years Data Engineer/analytics, Experience in working SQL and relational databases, query authoring (SQL).\n, • Demonstrated experience independently leading a data engineering team.\n, • Previous work experience in ERP (SAP ECC / S4 HANA / Oracle Cloud / Oracle EBS R12) with strong process understanding knowledge.\n\n Preferred qualifications \n\n • BE/BTech (or MS/MTech) degree or equivalent, Computer Science/ Mathematics/ Physics or related.\n, • Strong communications skills to enable interaction with all levels and departments within the organization.\n, • Proven analytic skills, including mining, evaluation, analysis, and visualization.\n, • Celonis certification (Data Engineer / Analyst / Implementation Professional).\n\n

Project Description: \n\n • We are looking for a C++ engineer to design and build high performance, low latency applications that process large volumes of real time data. You will work on systems where microseconds and throughput matter, optimizing every layer from algorithms and data structures to networking and OS interaction.\n, • Responsibilities:\n, • • Design, implement, and maintain high performance C++ services handling high message rates and low latency workloads.\n, • • Optimize existing components for latency, throughput, and CPU/memory efficiency.\n, • • Develop and tune networking, messaging, and I/O layers to handle large data volumes reliably.\n, • • Profile and debug performance issues at application, OS, and network levels.\n, • • Collaborate with quantitative, trading, and infrastructure teams (or analogous business/tech teams) to translate requirements into robust technical solutions.\n, • • Write clean, production quality code with appropriate tests and documentation.\n, • • Participate in code reviews, design discussions, and continuous improvement of engineering practices.\n\n \n Mandatory Skills Description: \n\n • • Strong proficiency in modern C++ (C++17/20 or later)\n, • • Solid understanding of concurrency and synchronization (lock free / low lock patterns, atomics, memory models, etc.).\n, • FPGA,colo,co-location\n, • • Proven experience building performance critical, real time, or low latency systems (e.g., networking, trading systems, telemetry, gaming engines, or similar).\n, • • Strong knowledge of computer science fundamentals: data structures, algorithms, memory management, and optimization.\n, • • Practical experience with Linux systems programming (sockets, epoll/select, threads, memory management, CPU affinity, etc.).\n, • • Experience using profiling, benchmarking, and performance analysis tools (e.g., perf, valgrind, flame graphs, CPU/memory profilers).\n, • • Proficiency with version control (Git) and standard build systems (CMake, Ninja, etc.).\n, • • Excellent problem-solving skills and attention to detail; ability to work in a fast-paced environment.\n\n \n Nice-to-Have Skills Description: \n\n • • Experience with kernel bypass or user space networking technologies (e.g., DPDK, RDMA, VMA, Solarflare/OpenOnload) - helpful but not required.\n, • • Experience in financial markets, market data distribution, order routing, or exchange connectivity.\n, • • Familiarity with common market data protocols (e.g., FIX, MDP, ITCH, proprietary exchange feeds) is a plus.\n, • • Experience with multicast, low latency networking, and clock synchronization (e.g., PTP).\n, • • Exposure to hardware aware optimization (NUMA, cache optimization, vectorization/SIMD, CPU pinning).\n, • • Experience with monitoring/telemetry for high performance systems (latency histograms, throughput metrics, SLAs).\n, • • Familiarity with scripting languages (e.g., Python, Bash) for tooling and automation.\n\n

Title - Lead Process Mining Consultant \n Openings in Multiple Locations: \n New York City, NY \n Raleigh, NC \n Redwood City, CA \n \n Responsibilities \n\n • Lead multiple Process Intelligence (Celonis) implementation teams across concurrent client engagements.\n, • Remain hands-on and technically credible – develop, review, and deploy Process Intelligence solutions using Celonis.\n, • Collaborate with stakeholders to gather requirements and translate them into technical specifications.\n, • Govern the setup of data extraction pipelines with both out-of-the-box connectors as well as building custom connectors.\n, • Strong working knowledge of Celonis ETL capabilities – Extraction, SQL Transformations, Data Pools and Data Jobs.\n, • Experience working with Vertica SQL to create custom activities in Celonis.\n, • Drive optimization of the performance of data pipelines.\n, • Analyze process data to identify inefficiencies and recommend improvements.\n, • Mentor and guide team members across workstreams; review deliverables and enforce build standards.\n, • Provide delivery updates, risks, and dependencies to programme leadership.\n\n Technical Qualifications / Skills \n\n • Strong working knowledge of Knowledge Models, Views, Analysis.\n, • Strong working knowledge of Celonis front end functions – PQL, PU functions.\n, • Develop the integration of Process Intelligence tools with existing systems.\n, • Serve as a liaison for the business analyst, project manager and client.\n, • Lead discussions on operationalization of Celonis through usage of Action Flows, Action Views and Machine Learning capabilities.\n, • Well versed with latest AI capabilities for Process Intelligence in Celonis.\n, • Keen learner and up to date with latest capabilities of Celonis.\n\n Business / Soft skills Qualifications / Skills \n\n • Understanding the business requirements thoroughly to identify the technical requirements.\n, • Taking Initiative (Resourcefulness) and asking clarifying questions to ensure the build is robust and designed on best practices.\n, • Focusing on Performance (Ensures Accountability, Delivers consistent results) across multiple teams.\n, • Ensures sufficient unit testing before releasing the build for functional testing.\n, • Ability to operate independently in a contracting model with minimal onboarding ramp-up.\n\n Minimum qualifications \n\n • Must have a minimum of 12+ years Data Engineer/analytics, Experience in working SQL and relational databases, query authoring (SQL).\n, • Demonstrated experience running multiple teams alongside hands-on technical delivery.\n, • Previous work experience in ERP (SAP ECC / S4 HANA / Oracle Cloud / Oracle EBS R12) with strong process understanding knowledge.\n\n Preferred qualifications \n\n • BE/BTech (or MS/MTech) degree or equivalent, Computer Science/ Mathematics/ Physics or related.\n, • Strong communications skills to enable interaction with all levels and departments within the organization.\n, • Proven analytic skills, including mining, evaluation, analysis, and visualization.\n, • Celonis certification (Data Engineer / Analyst / Implementation Professional).\n\n

Client Overview Our client is a global financial services organization with a technology-driven environment supporting real-time financial markets and trading operations. The Engineering team works on highly scalable, performance-sensitive applications and partners closely across architecture, QA, and other technology functions. They are currently looking to add a Senior C++ Engineer to their team.\n \n Salary/Hourly Rate $136k - $175k + 15% Annual bonus\n \n Position Overview The Senior C++ Engineer will design, develop, and maintain scalable software supporting fixed income trading systems. This is a hands-on engineering role focused on real-time and event-driven applications, with ownership of key features from technical design through delivery. The engineer will work closely with architects, principal engineers, QA, and other technology teams while contributing to technical and architectural decisions.\n \n \nResponsibilities of the Senior C++ Engineer:\n \n \n\n • Design, develop, and maintain scalable C/C++ software solutions.\n, • Build and enhance technology supporting real-time trading applications.\n, • Own key features from technical design through implementation and delivery.\n, • Develop and support real-time and event-driven applications.\n, • Partner with Architects and Principal Engineers on technical and architectural decisions.\n, • Participate in code reviews, testing, and CI/CD processes.\n, • Troubleshoot technical, production, and performance issues.\n, • Partner with QA to ensure strong testing and software quality.\n, • Mentor and support Junior Engineers.\n, • Ensure solutions meet security, risk management, and regulatory standards. \nRequired Experience/Skills for the Senior C++ Engineer:\n \n \n\n • Strong professional experience with C/C++.\n, • Strong application development experience in Unix/Linux environments.\n, • Experience with relational databases such as Oracle and/or PostgreSQL.\n, • Experience with messaging technologies such as Solace, Google Protocol Buffers, or similar.\n, • Experience with real-time/event-driven processing, including messaging, signals, or database events.\n, • Strong understanding of software design principles and secure coding practices.\n, • Strong problem-solving and debugging skills.\n, • Experience working within Agile Development teams.\n, • Strong communication skills and attention to detail.\n, • Must be able to work in the U.S. without current or future employer sponsorship.\n, • Must be local to the NYC area or able to commute to the NYC office, as no relocation assistance is available. \nPreferred Experience/Skills for the Senior C++ Engineer:\n \n \n\n • Experience with financial markets, trading systems, or capital markets technology.\n, • Experience with low-latency and performance-sensitive systems.\n, • Microservices and/or serverless architecture.\n, • AWS or other cloud platform experience.\n, • Docker/containerization.\n, • CI/CD pipelines and Git.\n, • Experience with AI-assisted development tools. \nEducation Requirements \n\n • Bachelor’s degree in Computer Science or equivalent professional experience is required. \nBenefits \n\n • Comprehensive benefits package offered.\n, • Health and wellness benefits.\n, • Paid time off.\n, • Retirement benefits.\n, • Additional company-sponsored programs and more. \n

JOB TITLE: AI Principal Engineer \n REPORTS TO: Engineering & Product Leadership, Silverside.AI \n Role Type: Full-time hybrid; contract-to-hire with a 30-day mutual evaluation period \n Location: New York, NY (hybrid, regular in-office presence) \n \n Position Summary \n Silverside.AI is seeking an AI Principal Engineer to own architecture and technical direction for its New York engineering pod. This is a hands-on architecture and leadership role focused on designing, building, and scaling the applications and pipelines that power Silverside's AI-driven video and content production systems and agentic workflows. \n \n The ideal candidate is a strong senior technical individual contributor, roughly 4–7 years of professional experience, who has already begun mentoring others, designs systems with real architectural conviction, and communicates effectively in client and internal meetings. Prior VP or extensive people-management experience is not required; this is an opportunity for a high-potential senior engineer to step into formal technical leadership of a high-performing contractor pod while remaining deeply hands-on. \n \n The AP Principal Engineer will set technical direction for a team of senior full-stack developers, drive modular system design, and help shape the product roadmap for the Silverside Experience Engine. \n \n Essential Duties & Responsibilities \n\n • Own architecture and technical direction for the Silverside New York engineering pod, providing clear system design, hands-on mentorship, code reviews, and day-to-day technical oversight so the team delivers high-quality work aligned with product and company goals.\n, • Architect and build scalable full-stack applications, with a strong emphasis on robust backend systems (Python / FastAPI and related modern frameworks), that power AI-driven video and content production pipelines and agentic workflows.\n, • Break complex AI production and agentic workflow challenges into clean, modular, maintainable systems for generation, processing, optimization, and delivery.\n, • Integrate AI/ML models, fine-tuned image and video models, generation APIs, and proprietary workflows into reliable production pipelines.\n, • Set and enforce development standards, testing practices, and deployment discipline across the pod.\n, • Collaborate closely with product, design, and engineering peers to ship full applications and continuously improve AI content systems and internal tooling.\n, • Optimize performance and scalability for high-volume video and media processing workloads.\n, • Troubleshoot and resolve issues in live production environments with urgency and clarity.\n, • Contribute directly to Silverside's growing AI content and agentic workflow ecosystem supporting major enterprise clients.\n, • Present technical architecture, system design decisions, and solution approaches with clarity and confidence in internal roadmap discussions and, when needed, in client or partner meetings.\n, • Partner with C-suite and product leadership on technical prioritization and the evolution of the core platform.\n\n \n Other Duties and Responsibilities \n\n • Provide meaningful, though not primary, client-facing technical presence as needed to support sales, partner, or account conversations.\n\n \n Required Knowledge, Skills, and Abilities \n\n • Bachelor's degree in computer science, engineering, or a related field, or equivalent practical experience.\n, • 4–7 years of professional full-stack development experience, with meaningful hands-on work building production systems involving AI, machine learning, creative media, video, or content generation pipelines.\n, • Strong backend proficiency in Python and modern frameworks (FastAPI, Flask, or Django), with experience designing and operating scalable APIs and services.\n, • Solid secondary frontend skills in contemporary frameworks (React, Svelte, or similar) sufficient to collaborate on and occasionally contribute to user-facing AI tools and interfaces.\n, • Demonstrated ability to design modular, maintainable systems and to discuss architecture with clarity and genuine passion.\n, • Hands-on experience integrating AI/ML models or generation APIs into production workflows, ideally in creative, media, or video contexts.\n, • Experience mentoring or coaching other engineers and raising the bar on code quality, testing, and engineering practices.\n, • Strong written and verbal communication skills, with comfort presenting technical ideas to both technical and non-technical stakeholders, including in client or sales-adjacent settings.\n, • Familiarity with cloud platforms (AWS, GCP, or Azure), containerization (Docker), and modern deployment practices.\n, • Preferred (Nice-to-Have)\n, • Experience with video/media tooling such as FFmpeg, OpenCV, or cloud rendering services.\n, • Prior work in creative industries, AI-generated content, marketing technology, or enterprise digital production environments.\n\n \n Physical Demands \n\n • n/a\n\n \n Salary & Benefits: \n For candidates in New York, the base salary range for this role at the time of posting is $200,000 to $225,000. For candidates in smaller, mid-Atlantic markets, the base salary range for this role at the time of posting is $170,000 to $220,000. The salary an employee or prospective employee is paid within this range will depend on factors such as but not limited to: internal compensation of current employees in similar roles, market considerations, budgetary considerations, level of responsibility, background, experience, and qualifications. \n \n Full-time employees enjoy a competitive benefits package for you and your dependents to ensure a healthy lifestyle. Our benefit offering includes: medical, dental, vision, basic and supplemental life & AD&D, 401(k) with company match, short-term and long-term disability, HSA, and FSA. \n \n Additional Information: \n Silverside AI is an Equal Opportunity Employer and participant in the US Federal E-Verify program. At this time, we are not accepting resumes or candidates from third-party vendors.

Job Description\n Full time\n Perm\n On site in NYC - Midtown East Manhattan - 5 days a week\n $200K base + very generous bonus\n\n\nC++ Engineer (Market Access) \n\nWe are seeking a highly skilled C++ Engineer with deep expertise in low-latency market access systems to design, build, and optimize connectivity to global exchanges. This role is ideal for an engineer with extensive experience in modern C++, performance-critical systems, and electronic trading environments, who wants to work on ultra-fast, mission-critical infrastructure.\nResponsibilities\n\n Design, develop, and optimize low-latency market access gateways and exchange connectivity components.\n Implement new exchange protocols, order entry, and market data handlers across global markets.\n Enhance performance through micro-optimizations, lock-free programming, CPU/memory profiling, and latency-reduction techniques.\n Collaborate closely with traders, quants, and infrastructure teams to deliver robust, high-performance trading systems.\n Maintain and improve reliability, throughput, and system observability across all market access components.\n Participate in full software lifecycle: design, testing, deployment, monitoring, and incident response.\n\nQualifications\n\n Expert-level C++ (C++17/20), with deep knowledge of templates, STL internals, optimization, concurrency, and memory models.\n Extensive experience working in finance, ideally in market access, HFT, low-latency trading, or market data systems.\n Strong understanding of network programming, kernel bypass technologies, multicast,\n TCP/UDP, and high-performance messaging.\n Hands-on experience with Linux internals, performance tuning, CPU affinity, and profiling tools.\n Experience with exchange protocols (OUCH, FIX/FIXP, binary protocols, proprietary APIs).\n Ability to work in high-pressure, rapid-iteration environments with a focus on precision and stability.\n Bachelor's or Master’s degree in Computer Science, Electrical Engineering, or related technical field.\n\nPreferred Experience\n\n Background in equities, options, futures, or FX market structure.\n Experience with packet capture/analysis, kernel tuning, and ultra-low-latency optimization.\n Familiarity with Python for tooling and automation.\n Experience improving end-to-end system performance: networking, hardware, OS, and application layers.\n\n

Job DescriptionProject Description:\n\n We are looking for a C++ engineer to design and build high performance, low latency applications that process large volumes of real time data. You will work on systems where microseconds and throughput matter, optimizing every layer from algorithms and data structures to networking and OS interaction.\n Compensation 110000-140000 USD Gross per year based on the interview process results.\n Responsibilities:\n • Design, implement, and maintain high performance C++ services handling high message rates and low latency workloads.\n • Optimize existing components for latency, throughput, and CPU/memory efficiency.\n • Develop and tune networking, messaging, and I/O layers to handle large data volumes reliably.\n • Profile and debug performance issues at application, OS, and network levels.\n • Collaborate with quantitative, trading, and infrastructure teams (or analogous business/tech teams) to translate requirements into robust technical solutions.\n • Write clean, production quality code with appropriate tests and documentation.\n • Participate in code reviews, design discussions, and continuous improvement of engineering practices.\n\n\nMandatory Skills Description:\n\n • Strong proficiency in modern C++ (C++17/20 or later)\n • Solid understanding of concurrency and synchronization (lock free / low lock patterns, atomics, memory models, etc.).\n • Proven experience building performance critical, real time, or low latency systems (e.g., networking, trading systems, telemetry, gaming engines, or similar).\n • Strong knowledge of computer science fundamentals: data structures, algorithms, memory management, and optimization.\n • Practical experience with Linux systems programming (sockets, epoll/select, threads, memory management, CPU affinity, etc.).\n • Experience using profiling, benchmarking, and performance analysis tools (e.g., perf, valgrind, flame graphs, CPU/memory profilers).\n • Proficiency with version control (Git) and standard build systems (CMake, Ninja, etc.).\n • Excellent problem-solving skills and attention to detail; ability to work in a fast-paced environment.\n\n\nNice-to-Have Skills Description:\n\n • Experience with kernel bypass or user space networking technologies (e.g., DPDK, RDMA, VMA, Solarflare/OpenOnload) - helpful but not required.\n • Experience in financial markets, market data distribution, order routing, or exchange connectivity.\n • Familiarity with common market data protocols (e.g., FIX, MDP, ITCH, proprietary exchange feeds) is a plus.\n • Experience with multicast, low latency networking, and clock synchronization (e.g., PTP).\n • Exposure to hardware aware optimization (NUMA, cache optimization, vectorization/SIMD, CPU pinning).\n • Experience with monitoring/telemetry for high performance systems (latency histograms, throughput metrics, SLAs).\n • Familiarity with scripting languages (e.g., Python, Bash) for tooling and automation.\n\n

Cybersecurity Engineer \n \n Our client is looking for a hands-on Cybersecurity Engineer to join their growing technology team. This individual will help secure internal and client technology environments, with a focus on network security, threat detection, vulnerability management, incident response and security best practices. \n \n The ideal candidate will have approximately 5+ years of cybersecurity or network security experience and be comfortable working across multiple technologies and client environments. Experience within hospitality, managed services or other multi-site environments is a plus but not required. \n \n The position will also have exposure to emerging technologies, including AI-driven security tools and automation. Deep AI development experience is not required. \n \n Primary Responsibilities \n \n Monitor, investigate and respond to cybersecurity threats and incidents. \n Configure and support firewalls, VPNs, network segmentation and other network security technologies. \n Support vulnerability management, security assessments and remediation activities. \n Work with SIEM, endpoint security and threat-detection technologies. \n Assist with incident response, root-cause analysis and remediation. \n Help secure network environments including wired/wireless networks, remote connectivity and multi-site infrastructure. \n Support security policies and best practices based on frameworks such as NIST. \n Assist with security requirements related to client environments and third-party vendors. \n Work closely with network, infrastructure and support teams to identify and remediate security risks. \n Use scripting, automation and emerging AI-enabled technologies where appropriate to improve security operations. \n Maintain documentation of security procedures, configurations and incidents. \n Stay current with cybersecurity threats, technologies and industry best practices. \n \n Qualifications \n \n Approximately 5+ years of cybersecurity, network security, SOC or related infrastructure/security experience. \n Hands-on experience with firewalls such as Fortinet, Palo Alto, Cisco or similar technologies. \n Experience with SIEM, EDR, vulnerability management and/or security monitoring tools. \n Understanding of networking fundamentals including TCP/IP, VLANs, VPNs, routing, firewalls and network segmentation. \n Experience investigating and responding to security alerts and incidents. \n Familiarity with cybersecurity frameworks such as NIST and security/compliance standards. \n Experience with Windows/Linux environments and cloud technologies. \n Scripting or automation experience using Python, PowerShell, Bash or similar technologies is a plus. \n Exposure to AI-enabled security tools or security automation is a plus. \n Hospitality, MSP or multi-client experience is a plus. \n Relevant cybersecurity certifications such as Security+, CySA+, SSCP, CISSP or equivalent are a plus. \n Bachelor's degree in Cybersecurity, Computer Science, Information Technology or a related discipline preferred, or equivalent professional experience. \n Strong troubleshooting, communication and problem-solving skills.

Cybersecurity: -IAM Entra ID \n \n Years of Experience \n\n • 8+ years of overall experience in IAM.\n, • Minimum 5+ year of experience (L3 level) in Identity and Access Management.\n\n General Description \n\n • 5+ years of experience in IAM implementation.\n, • Design and implement end-to-end Entra ID solution to meet the unique identity and access management needs of our client.\n, • Hands on experience in migrating to Azure tool.\n, • Prepare technical project plans and project resourcing.\n, • Evaluate and optimize existing identity and access management systems, including Entra ID integration and on-premises solutions.\n, • Stay informed about the latest Entra ID features, security best practices, and industry trends to ensure clients' solutions are cutting-edge and secure.\n, • Works closely with project manager and engagement manager to identify key IAM (SSO/MFA) technical requirements, prioritize requirements, catalog requirements, and assign them to project use cases and sprints.\n\n Technical Requirements \n\n • Strong understanding of Azure Environment PaaS, IaaS and experience in working with Hybrid model.\n, • Knowledge in Azure Power Shell scripting for deploying the Resources.\n, • In Depth knowledge & experience to support application integration with Entra ID and migration from other tool to Entra ID (SSO/MFA)\n, • Knowledge of procedure and flows of Open ID connect, SAML, OAuth.\n, • Hands On knowledge of API integration with Azure for Authentication.\n, • Troubleshooting & Debugging problems. \n, • Experience with multi-factor authentication technologies and access management.\n, • Familiarity with concepts of migration, deployments and integrations of IAM solutions within the cloud.\n, • In - depth experience with some or all the following technologies: Entra ID, SSO, MFA, FIM/MIM, Active Directory.\n, • Exposure to Entra ID Conditional Access Policy.\n, • Knowledge on configuration of Office 365 and Entra ID in a hybrid authentication.\n, • Exposure to:\n, • Active Directory Federated Services Management.\n, • Azure Active Directory \n, • PIM and other Identity and Access Management solutions is a plus.\n, • Configuring applications with Entra ID Proxy. \n, • Knowledge of adding protection to Entra ID Administrator account.\n, • Knowledge of technology trends and developments in the areas of IAM, and knowledge and experience with formal security and control framework.\n, • Good experience in LDAP, SSL, Java / J2EE, RDBMS and Linux.\n\n Soft Skills \n\n • Excellent communication and presentation skills.\n, • Strong problem-solving and critical thinking skills.\n, • Exceptional project management and organizational abilities.\n, • Team collaboration and leadership skills.\n, • Demonstrate a general knowledge of market trends and competition.\n, • Be a strong team player.\n, • Client-focused approach with a commitment to delivering exceptional customer service.\n\n Certifications (Good to have) \n\n • Microsoft Certified: Identity and Access Administrator Associate.\n, • Microsoft Azure Security Engineer \n, • AZ- 900 Azure Fundamentals\n\n Educational Qualifications \n\n • Bachelor’s degree in computer science/ IT or any relevant fields.\n\n

Job Description Title: M of E - Electrician Department: Maintenance of Equipment Repost Date: 1/5/2026 Close Date: Open Until Filled 100% Hourly Rate of Pay: $42.601*(See Wage Progression Table) Position Classification: Safety Sensitive Location: Various Reports To: Various Union Affiliation: International Brotherhood of Electrical Workers (IBEW) Summary Responsible for troubleshooting equipment. Responsibilities Responsibilities may include but are not limited to: • Inspect, maintain, repair and install electrical components such as armatures, generators, inverters/converters, motor alternators, regulators, traction motors, switchboards, lighting fixture, magnet coils, jumpers, batteries, printed circuit cards, inside and outside wiring at shops, buildings and yards, and conduct work on any and all rolling stock equipment, support shop equipment or plant equipment., • Move cars within Maintenance of Equipment territory. Will be required to learn and troubleshoot defects using the Automatic Train Control System. • Maintain HVAC (Heating, Ventilation and Air Conditioning) systems, which includes but is not limited to freon handling. Qualifications • A four-year high school diploma or its educational equivalent (GED or TASC) approved by a State's Department of Education or recognized accredited organization., • Must possess a minimum of four years electrical experience. Related electrical trade school accreditation and work experience may comprise the required four years' experience., • Must possess the ability to trouble-shoot equipment., • Must possess mechanical ability and ability to use various electrical meters and testing devices., • Must possess ability to read wiring schematic diagrams., • Must possess knowledge of relay logic. Wage Progression: Wage Progression for New Employees hired after 9/24/2014: Rate: $40.449 is the 100% hourly rate of pay. 70% - 1st 240 days of compensated service. 70% - 2nd 240 days of compensated service. 75% - 3rd 240 days of compensated service. 80% - 4th 240 days of compensated service. 90% - 5th 240 days of compensated service. 90% - 6th 240 days of compensated service. 95% - 7th 240 days of compensated service. 100% - After 1,680 days of compensated service. Current employee wage progression (hired on or before 9/24/2014): Rate: $40.449 is the 100% hourly rate of pay. 70% - 1st 240 days of compensated service. 75% - 2nd 240 days of compensated service. 80% - 3rd 240 days of compensated service. 90% - 4th 240 days of compensated service. 95% - 5th 240 days of compensated service. 100% - After 1,200 days of compensated service. Note: Consistent with Rule 67B of the IBEW Agreement, in the case of a transfer into the craft, employees will be subject to enter the wage progression at the 70% rate. However, candidates who meet one or more of the criteria listed below will qualify for the expedited wage progression for Journeymen: • Four years of full-time experience as an electrical worker, including the following jobs and titles and industries, • Electrical, Electronics or Communications Worker in the Armed Forces, • Electrician, including commercial, residential, and low voltage, • Utility or Power Plant Electrical Worker, • Electronics, Communications or Computer Technician/Engineer, • Electrical Apprentice or Electrical Helper, • Automotive Electronic Technician, with ASE certification, • Possess or completion of the following educational degrees, apprenticeships or trade program certifications, with required practical work experience accompanied thereto for a total of four years:, • A four-year bachelor’s degree in electrical engineering, Electrical Technology or associated Electrical field from an accredited college or university., • A two-year associate’s degree in electrical engineering, Electrical Technology or associated Electrical field from an accredited college plus two years of full-time experience performing electrical work., • A trade (vocational) school certificate n Electrical Technology or associated electrical field, of which completion requires at least one year of classroom training; plus three years of full-time experience as an electrical worker., • Completion of at least four years of an Electrical Apprenticeship Program., • Completion of at least two years of a full-time Electrical Apprenticeship Program, plus two years of full-time experience as an electrical worker. Wage Progression: First 365 Calendar Days: 80% Second 365 Calendar Days: 85% After 730 Calendar Days: 100% Other Information In addition to meeting the minimum requirements of the position, the selection process may include, but is not limited to, a pre-screening assessment (i.e., physical, written and/ or practical evaluation) and interview. Candidates forfeit further consideration in the process if they fail to participate in any step of the process when scheduled. Make up dates/times will not be given. In addition, LIRR employee applicants must be in their current position for the 12 months immediately preceding the close date of this posting and must possess a satisfactory work history, including attendance and discipline record. A record of more than ten sick days without medical documentation in two of last three years is considered unsatisfactory attendance. Not all qualified applicants are guaranteed an interview due to the competitive selection process. A medical examination and safety sensitive drug/alcohol test may also be required. Equal Opportunity Employment MTA and its subsidiary and affiliated agencies are Equal Opportunity Employers, including with respect to veteran status and individuals with disabilities. The MTA encourages qualified applicants from diverse backgrounds, experiences, and abilities, including military service members, to apply.

Company Profile: \n AppCard Inc. is a technology and marketing company headquartered in Manhattan, NY. Appcard has a powerful marketing tool that leverages data acquired at the point of sale (POS) via an advanced rewards program to create advanced retargeting campaigns that help businesses increase their bottom line. AppCard is unique in the loyalty space due to its patented technology which allows businesses to capture shopper identity and item level data in realtime from purchases made in store and online. The benefit of this is two fold: consumers benefit by receiving offers, incentives and coupons. Through a shopper’s interactions with the former AppCard’s platform records and learns shopper behavior and gives grocers the ability to make their data actionable to increase average basket size and systematically increase repeat purchases. \n \n About the role: \n AppCard is looking for a System Engineer to provide first and second-line support to our customers. If you are a hands-on operations expert, experienced in product operations and customer support, and eager to deepen your technical expertise in IoT and cloud infrastructure, we’d love to hear from you! \n We are seeking a highly skilled System Engineer who thrives in a dynamic environment, enjoys problem-solving, and is committed to delivering exceptional technical support. \n • This position requires off hour support and weekends \n \n Responsibilities \n\n • Diagnose and troubleshoot technical issues, including Linux-based systems, databases, and network configurations\n, • Serve as the primary technical contact for customer support, delivering Level 1-3 troubleshooting and resolution\n, • Ability to think beyond the ticket — understanding business impact and contributing to operational improvements\n, • Prioritize and manage several open issues at one time\n, • Collaborate with internal teams to document best practices and enhance the knowledge base for both internal and external use\n, • Follow up with clients to ensure their IT systems are fully functional after troubleshooting\n, • Document technical knowledge in the form of notes and manuals\n, • Maintain excellent client relationships, ensuring a first-class customer experience\n\n \n Requirements \n\n • Bachelor’s degree in Computer Science, Information Technology, or a related field\n, • Strong Linux administration skills, with experience in mission-critical applications\n, • Experience and knowledge of system performance-monitoring tools\n, • Networking knowledge: Load balancers, firewalls, VPN’s, TCP/IP – troubleshooting, performance tuning\n, • Passion for learning new technologies and tools in a fast-evolving environment\n, • Basic database knowledge (SQL querying and troubleshooting)\n, • Experience with AWS Cloud Service Infrastructure\n, • Proven work experience as a Technical Support Engineer, Desktop Support Engineer, IT Help Desk Technician or similar role\n, • Excellent communication and problem-solving skills with a customer-first mindset\n, • Highly motivated, organized, and able to handle multiple priorities effectively\n\n \n This role is full-time from our NYC office \n Applicants must be authorized to work in the U.S. This position is not eligible for employer visa sponsorship."

Job Title: Senior IT VMware Systems Engineer \n Location:– Jersey City, NJ (Final round is in person) \n Role Type : Contract \n \n\n • 3 days in office (Mon or Fri + 2 days)\n, • VMware VSphere8 ; VCF 9 launched in June 2025 . (Must Have)\n, • Managing large estate of 400-500 SX servers\n, • Banking/ Financial services experience important - awareness of security and regulatory, governance environment\n, • BFS protocol- outages – “production change” window for changes etc.\n\n \n Senior IT VMware Systems Engineer \n Resource will be handling real time capacity monitoring for our environment, reviewing all incoming RITMs by validating, challenging, and reviewing before approving the requests for Capacity increases. Also, this resource will be driving the replacement of aging servers that have reached end of life with its deployment and placing it in production. The refresh is essential to eliminate the risk of hardware failures that could impact service continuity. This is to manage additional work required due to onboarding of "Follow the Sun Model" (FTS), Hardware and Software Obsolescence and BAU activities. \n \n Job Description: \n IAAS – Virtualization SME – Job Description \n The VMware Virtualization SME provides expert level strategy, design, and 24 × 7 × 365 support for the Americas region virtualization platform. The role owns performance monitoring, automation, and continuous improvement of the VMware ecosystem—including VMware Cloud Foundation 9 (VCF 9), Aria Operations, vRealize Log Insight (VRLI), vRealize Network Insight (VRNI), NSX T, and vSAN—while pioneering AI driven operational models and cost optimization initiatives. \n \n Core Responsibilities \n • Platform Architecture & Migration \n o Lead the migration to VMware Cloud Foundation 9 (VCF 9), ensuring zero downtime, compliance, and alignment with security baselines. \n o Design and evolve the integrated VMware stack (vSphere, NSX T, vSAN, Aria Operations, VRLI, VRNI) to meet ultra low latency and high availability requirements. \n • Automation & AI Enabled Operations \n o Implement Infrastructure as Code (Ansible, Terraform, PowerCLI) to automate provisioning, patching, and lifecycle management of the virtualization layer. \n o Deploy agentic AI assistants (LLM powered chat ops) for ticket triage, predictive alerting, and automated root cause analysis within Aria Operations. \n o Create self healing playbooks that remediate common performance or capacity events without human intervention. \n • Performance Monitoring & Capacity Management \n o Configure, fine tune, and maintain monitoring thresholds, alarms, and dashboards in Aria Operations, VRLI, and VRNI. \n o Use AI driven anomaly detection to anticipate capacity bottlenecks and latency spikes before they affect production. \n • Process Improvement & Standardisation \n o Facilitate environment wide process improvement initiatives (change, release, and incident management) to increase efficiency and consistency. \n o Ensure all deployments adhere to group standards, best practices, and security hardening guides (CIS, VMware Hardened Base Image). \n • Vendor & Global Team Collaboration \n o Interface with VMware, storage, networking, and hyper converged hardware vendors; coordinate with global IT teams to keep the platform aligned with enterprise standards. \n • Disaster Recovery & Business Continuity \n o Participate in DR planning, testing, and execution for the virtualization environment; maintain RPO ≤ 5 seconds and RTO ≤ 15 minutes for critical workloads. \n • Operational Support \n o Provide Tier 2/3 support for production workloads, including 24 × 7 on call rotation. \n o Conduct thorough morning and end of day health checks using scripted tools and AI generated health scores. \n o Perform OS and firmware upgrades, mandatory security patches, and storage system updates through automated pipelines. \n • Stakeholder & Service Management \n o Liaise with application owners to gather requirements, design standards, and deploy consistent virtual infrastructure services. \n o Maintain the service catalogue for internal business lines, regularly reviewing consumption, pricing, and performance metrics. \n • Reporting & Governance \n o Report to the Americas IT Infrastructure Virtualization Platform Manager; deliver executive dashboards on SLA compliance, cost savings, AI ops impact, and platform health. \n Required Experience & Qualifications (2026) \n • Bachelor’s degree in computer science, Information Systems or a related field (or equivalent professional experience). \n • 5 7 years of hands on experience designing, deploying, and supporting large scale VMware environments (vSphere 8+, NSX T, vSAN). \n • Demonstrated experience migrating legacy VMware sites to VMware Cloud Foundation 9 or newer cloud native stacks. \n • Strong automation background – expert level use of PowerCLI, vRealize Automation (vRA), Ansible, Terraform, and PowerShell/Python scripting. \n • Hands on experience with the Aria Operations suite (formerly vRealize Operations), VRLI, and VRNI for log analytics and network insight. \n • Solid understanding of enterprise storage (EMC/Isilon, Pure Storage, Dell/NetApp SAN, iSCSI), and how vSAN integrates with these platforms. \n • Deep networking knowledge – TCP/IP fundamentals, VLANs, routing, and NSX T concepts (micro segmentation, distributed firewalls). \n • Experience applying AI ops concepts: predictive monitoring, automated RCA, LLM driven chat ops, and intelligent capacity forecasting. \n • Proven track record of cost optimisation (rights sizing VMs, leveraging spot/ephemeral instances, improving TCO). \n • Excellent written and verbal communication; ability to influence senior stakeholders and mentor junior team members. \n • Strong project management skills focused on outcome based results (Agile/ITIL preferred). \n \n Desired Certifications & Skills \n • VMware Certified Professional – Cloud Management and Automation (VCP CMA) \n • VMware Certified Advanced Professional – Cloud Foundation (VCAP CF) \n • ITIL Foundation / Managing Professional. \n • Experience with Aria Operations and related APIs for custom automation.

This Jobot Job is hosted by: Brendan Thomas Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $78,000 - $90,000 per year A bit about us: We are seeking a driven Quality Engineer with Tier 1 automotive experience who is looking to grow into a future Quality Manager role. This position offers the opportunity to work in a fast-paced, high-impact manufacturing environment where you’ll play a key role in ensuring world-class quality for critical automotive products. The right candidate will have a solid engineering foundation, strong problem-solving ability, and the leadership mindset to influence quality strategy across the plant. Why join us? Key Perks: • Competitive salary targeting $78,000 - $90,000 base + annual discretionary bonus, • Relocation assistance available, • Fortune 500-level health/medical/dental/vision, • 401(K) + match, • 3 weeks PTO + 14 paid holidays + option to purchase up to 6 weeks of additional vacation time, • Short, Long-Term and Life Insurance, • HSA+ FSA, • Employee Assistance Program + paid family leave, • Wellness programs!, • Discounts from preferred vendors, • Well-being Resources, • Professional training, • Opportunity for career advancement, working as part of an empowering workforce, • Warm & welcoming culture & much more! Job Details Key Responsibilities • Develop and implement quality control processes, sampling systems, and statistical techniques to ensure consistent product performance., • Analyze production and quality trends to identify root causes and implement corrective actions without impacting production flow., • Review and validate analyses prepared by others for accuracy and effectiveness., • Lead policy recommendations and support implementation of quality-related initiatives., • Conduct cost/benefit analyses and present findings to leadership., • Provide training and mentorship to both hourly and salaried staff on quality systems and best practices., • Support and/or lead audits, special projects, and customer quality initiatives., • Collaborate cross-functionally to drive continuous improvement across operations. Qualifications • Bachelor’s degree in Engineering or Engineering Technology (required)., • 4+ years of Quality Engineering experience in Tier 1 automotive manufacturing., • Professional quality accreditation (CQE or similar) strongly preferred., • Strong computer skills, including MS Office (Excel, PowerPoint, Outlook)., • Excellent communication, analytical, and leadership skills., • Self-motivated and able to work independently with sound judgment. Additional Requirements • Ability to travel to plant and customer sites as needed., • Comfortable maneuvering around production equipment., • Must hold a valid driver’s license. What’s In It For You • Competitive compensation with the potential for higher pay based on experience., • Exposure to high-profile Tier 1 automotive projects., • A career path designed for growth into a Quality Manager role., • Opportunity to make a tangible impact on product quality, safety, and customer satisfaction. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

Software Engineer You'll sit on our AI/ML team and turn what our models detect on construction drawings into shapes and objects that users can see, trust, and fix on a canvas. You'll connect the ML team and the engineers by designing how model outputs get into the product and using user corrections to make the models better. • 8+ years of software engineering experience, • Shipped computer vision or ML output into a product people use every day, • Python and TypeScript, • Experience designing and versioning data contracts between services Welcome to ConsultNet, a premier national provider of technology talent and solutions. Our expertise spans across project services, contract-to-hire, direct search, and managed services onshore, nearshore, and hybrid. For over 25 years, we have connected thousands of consultants with meaningful roles through a personal, communication-driven approach, partnering with a diverse client base to build high-performing teams and create lasting impact. Our comprehensive service offerings cover a wide range of technology and engineering positions across key markets nationwide. Learn more at _ . We champion equality and inclusivity, proudly supporting an Equal Opportunity Employer policy. We welcome applicants regardless of Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other status protected by law.

The Network Engineer is responsible for ensuring the stability, security, and performance of the organization's voice, data, video, and wireless network infrastructure. This role designs, implements, maintains, and supports network, server, and telecommunications systems, troubleshoots technical issues, and collaborates with IT teams to deliver reliable, secure technology solutions. \n \n THIS JOB IS 5 DAYS ON-SITE IN NYC \n \n Key Duties, Responsibilities and Accountabilities \n\n • Design, implement, maintain, and optimize network infrastructure, including LAN, WAN, wireless, internet/intranet, VoIP, and network security systems.\n, • Configure, monitor, troubleshoot, and support network hardware, software, firewalls, backups, and communication systems to ensure reliable performance and security.\n, • Administer servers, operating systems, databases, and data transfer processes while maintaining system integrity and availability.\n, • Install, configure, maintain, and troubleshoot desktop hardware, software, peripherals, and end-user computing environments.\n, • Provide technical support by responding to help desk requests, diagnosing and resolving hardware, software, and network issues, and delivering exceptional customer service.\n, • Develop and maintain network documentation, system configurations, policies, procedures, disaster recovery plans, and technical documentation.\n, • Evaluate, test, and implement new technologies and infrastructure improvements, including coordinating system deployments and user acceptance testing.\n, • Collaborate with end users and IT staff to ensure technology solutions meet business needs and service level expectations.\n, • Participate in after-hours maintenance, upgrades, and on-call support as required.\n\n \n Job Qualifications \n Associate's or bachelor's degree in Computer Science, Information Systems, Management Information Systems, Business Administration, or a related field, with at least five years of relevant experience; equivalent combinations of education and experience may be considered. \n\n • Demonstrated experience designing, implementing, maintaining, and supporting network infrastructure, systems, and hardware/software solutions.\n, • Strong knowledge of LAN, WAN, WLAN, and network routing protocols, including BGP and OSPF.\n, • Experience with Cisco networking technologies, including Cisco IOS and Cisco VoIP.\n, • Working knowledge of VPNs, firewalls, Microsoft Active Directory, VMware, Windows operating systems, and asset management systems.\n, • Proficiency with Microsoft Office applications, including Outlook.\n, • Strong analytical, troubleshooting, problem-solving, and research skills, with the ability to evaluate and recommend technology solutions.\n, • Ability to follow established safety and security procedures while maintaining the confidentiality and integrity of information systems.\n, • Ability to provide remote technical support and travel occasionally for off-site system installations, maintenance, and support.\n, • Ability to perform the physical requirements of the position, including prolonged computer use, extended periods of sitting, and lifting and transporting moderately heavy equipment, such as computers and peripherals.\n\n

The Opportunity A high-growth, well-funded startup is rebuilding an entire industry's relationship with data, using AI agents to turn messy, unstructured chaos into clean, actionable intelligence at scale. Built natively around modern ML/AI from day one, not bolted onto legacy systems, the platform is already driving measurable results for enterprise customers. They've been recognized as one of the standout early-stage players in their space, and they're continuing to scale fast. They're hiring a Senior Software Engineer to help build the product experience end to end, from backend services to the UI customers actually touch, with regular exposure to the AI agent layer powering the platform underneath. You'll work directly with founders, shipping end-to-end product features in a high-ownership, fast-paced environment. The Stack & Scale React/TypeScript on the frontend, Python and Node.js on the backend, deployed on AWS. The platform's AI layer runs on LLMs, RAG pipelines, and LangChain, so you'll be shipping features that sit right on top of that infrastructure. What You'll Do • Build and ship fullstack features across the product, from backend services to frontend UI, • Work with the engineers building the AI agent layer to surface agent outputs and AI-driven features in the product, • Design and scale backend services and APIs supporting real-time, high-throughput workloads, • Partner with product and design to take features from concept to production, • Contribute to reliability, performance, and code quality across the stack, • Work directly with founders and have real say in product features, roadmap, and technical decisions What Makes You a Fit • Bachelor's Degree in Computer Science or related STEM field, • 5+ years of fullstack engineering experience, • Strong experience with a modern frontend framework (React, Vue, etc.), • Backend experience with Python, Node.js, Golang, or similar, • Experience working with or around AI/ML systems, hands-on LLM or agent experience is a bonus but not a dealbreaker, • Solid understanding of API design, databases, and cloud infrastructure, AWS a plus, • Startup experience preferred, but we care more about how you think and build than where you've worked, • Strong communicator and takes ownership without being asked twice

About Eleven Recruiting \n We are a specialized technology staffing agency supporting professional and financial services companies. Why do we stand out in technology staffing? We listen and act as advisors for our candidates on how they can best add value, find interesting projects, and pave a path for career advancement. We advocate for the best pay, diversity in tech, and the best job fit for every candidate we place. \n \n Our client, a leading investment firm, is seeking a Senior Identity and Access Management Engineer to join their team in New York, NY! \n \n The ideal candidate will be expected to be an expert in the firm's Identity as a Service platform, driving internal changes to their implementations. \n \n Responsibilities \n\n • Work effectively across multiple environments that each have their own unique processes and procedures.\n, • Develop the technical NHI/AI security architecture.\n, • Build and operate the systems that discover, inventory, authenticate, and enforce least privilege for non-human identities across the enterprise.\n, • Partner with engineering and platform teams to embed NHI security practices into their workflows.\n, • Own the end-to-end design and governance of Joiner/Mover/Leaver (JML) workflows across the firm and its entities.\n, • Define RBAC/ABAC entitlement models in a way that balances least-privilege with user experience.\n, • Build upon the existing Identity as a Service platform to improve the end-user experience\n, • Proactively partner with various engineering and platform teams to understand pain points, and propose solutions to those problems.\n, • Serve as the internal subject matter expert for IAM.\n, • Onboard new applications to the firm’s SSO solutions.\n, • Maintain documentation for IAM processes.\n\n \n Qualifications \n\n • Deep understanding of Identity related risks and controls.\n, • Experience with working across multiple IDPs (Org2org, federation, CIAM/Workforce, etc.).\n, • Experience with Terraform.\n, • Deep understanding of SSO related technologies such as SAML, OIDC, SCIM, JIT.\n, • Deep understanding of identity lifecycle management.\n, • Experience with SQL and scripting (Python, Powershell, etc.).\n, • Experience with Okta Workflows.\n, • Bachelor's Degree in Computer Science, Information Technology or related field.\n, • 7-10 years of experience in IAM or other Cybersecurity related fields.\n, • Results oriented and the ability to manage multiple tasks and deadlines with attention to detail.\n, • Strong communication and self-management skills.\n\n \n Pay Rate: $80 - $120/hr \n \n Your safety matters to us. To protect yourself from potential scams, remember that Eleven recruiters only contact you from @elevenrecruiting.com email addresses. Be cautious of emails from other domains. Legitimate Eleven recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit https://jobs.elevenrecruiting.com/directly for confirmed position openings.

Client Overview Our client is a global organization seeking an experienced Senior Front-End Engineer (Java/Swing) to join its technology team. This individual will work within a collaborative engineering environment supporting enterprise-grade applications and contribute to the continued development and modernization of user-facing technology.\n \n Salary/Hourly Rate $136k - $175k\n \n Position Overview The Senior Front-End Engineer (Java/Swing) will design, develop, and maintain user-facing features for enterprise-grade applications. This position requires strong experience developing desktop user interfaces using Java Swing, along with knowledge of Java-based technologies and modern software development practices.\n \n \nThe Senior Front-End Engineer (Java/Swing) will collaborate with cross-functional teams, contribute to architectural and technical decisions, promote front-end development best practices, and provide guidance to junior engineers.\n \n Responsibilities Of The Senior Front-End Engineer (Java/Swing) \n\n • Design, develop, and maintain high-quality front-end applications.\n, • Develop and enhance desktop user interfaces using Java Swing.\n, • Collaborate with UX/UI designers and cross-functional engineering teams.\n, • Integrate front-end applications with APIs, back-end services, and databases.\n, • Optimize application performance for speed, scalability, and maintainability.\n, • Troubleshoot and resolve front-end issues.\n, • Ensure code quality through testing, code reviews, and development best practices.\n, • Contribute to architectural decisions and front-end technical strategy.\n, • Mentor junior developers and encourage knowledge sharing across the team.\n, • Stay current on emerging front-end technologies and development practices. \nRequired Experience/Skills For The Senior Front-End Engineer (Java/Swing) \n\n • Proven professional experience developing desktop user interfaces using Java Swing.\n, • Working knowledge of Spring Boot.\n, • Working knowledge of the JDBC API for database interaction.\n, • Experience or familiarity with Solace Event Broker.\n, • Familiarity with RESTful APIs and system integration.\n, • Experience with build and dependency management tools such as Apache Maven.\n, • Understanding of version control systems such as Git.\n, • Experience with feature and bug-tracking tools such as Jira.\n, • Strong problem-solving and debugging skills.\n, • Strong communication and collaboration abilities.\n, • Applicants must be authorized to work in the United States without current or future employer sponsorship. \nPreferred Experience/Skills For The Senior Front-End Engineer (Java/Swing) \n\n • Experience with front-end frameworks such as React, Angular, or Vue.js.\n, • Experience with TypeScript and modern state-management libraries such as Redux.\n, • Experience with responsive design and cross-browser compatibility.\n, • Knowledge of web application performance optimization.\n, • Experience with AI-assisted development tools such as Kiro, Amazon Q, or similar.\n, • Exposure to CI/CD pipelines and automated testing frameworks.\n, • Knowledge of accessibility standards and best practices.\n, • Familiarity with AWS, Docker, or other cloud/container technologies.\n, • Understanding of front-end application security principles.\n, • Experience working within Agile environments.\n, • Ability to contribute to technical design discussions and propose innovative solutions. \nEducation Requirements \n\n • Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field preferred.\n, • Equivalent professional experience will be considered. \nBenefits \n\n • Benefits information will be provided during the interview process. \n

Telecom Engineer \n Location: New York, NY – Hybrid with field visits throughout the utility service territory \n Employment Type: Contract-to-Hire with Potential Full-Time Conversion \n Schedule: Full-Time | 3 Days Onsite, 2 Days Remote \n Start Date: ASAP \n Number of Openings: 1 \n Position Overview \n Our client is seeking an experienced Telecom Engineer to serve as the dedicated technical subject matter expert and project owner for a large-scale, utility-grade fiber deployment connecting more than 100 substations. \n This individual will own the technical approach throughout the project lifecycle—from requirements gathering and fiber/network architecture through technical specification development, vendor coordination, field implementation, system integration, and migration. \n The successful candidate will develop a consistent and scalable fiber architecture, establish clear technical standards, coordinate internal and external stakeholders, and support successful deployment across the substation network. \n Key Responsibilities \n\n • Lead the design and architecture of a large-scale fiber-optic telecommunications network.\n, • Gather technical and operational requirements for fiber connectivity across more than 100 substations.\n, • Develop scalable fiber architecture, cable-routing plans, equipment arrangements, and infrastructure requirements.\n, • Create technical specifications, statements of work, and RFP documentation.\n, • Evaluate telecommunications technologies, including MPLS, DWDM, T1, and related networking solutions.\n, • Coordinate telecommunications system migration and integration activities.\n, • Manage technical relationships with vendors, contractors, and equipment providers.\n, • Support implementation, installation, testing, commissioning, and migration activities.\n, • Coordinate deployment activities across engineering, construction, procurement, operations, and field teams.\n, • Ensure the communications infrastructure meets utility-grade reliability and operational requirements.\n, • Conduct field visits to substations and other facilities as project needs require.\n\n Required Qualifications \n\n • Minimum of three years of relevant fiber-optic or telecommunications infrastructure experience, including large-scale network design or deployment.\n, • Experience with fiber-network design, architecture, cable routing, equipment arrangements, and infrastructure requirements.\n, • Knowledge of MPLS, DWDM, T1, and related telecommunications and networking technologies.\n, • Experience with telecommunications system migration and integration.\n, • Utility or substation telecommunications experience with an understanding of substation communications and utility-grade infrastructure.\n, • Experience developing technical specifications and RFP documentation.\n, • Strong vendor-management and large-scale project-coordination experience.\n, • Ability to work effectively across technical, operational, procurement, construction, vendor, and contractor teams.\n, • Valid driver’s license and ability to travel throughout the client’s service territory.\n\n Education Requirements \n Candidates must meet one of the following requirements: \n\n • Bachelor’s degree in Electrical or Mechanical Engineering with at least eight years of engineering experience, including a minimum of three years in relay protection and/or control systems engineering; or\n, • Master’s degree in Electrical or Mechanical Engineering with at least six years of engineering experience, including a minimum of three years in relay protection and/or control systems engineering.\n\n Preferred Qualifications \n\n • Experience supporting electric utilities, critical infrastructure, or geographically distributed infrastructure deployments.\n, • Experience with telecommunications equipment, enclosures, system commissioning, and legacy-system migration.\n, • Experience coordinating large, multi-site deployments involving engineering, construction, procurement, operations, vendors, and contractors.\n, • Working knowledge of IEC 61850.\n, • Industry involvement with EPRI, NATF, or similar organizations, particularly related to relay applications.\n\n Additional Requirements \n\n • Ability to travel to substations and other client locations as required.\n, • Ability to wear required personal protective equipment.\n, • Ability to work in power plants and high-voltage substations.\n, • Ability to work in various indoor and outdoor environments and weather conditions.\n, • Availability to support emergency-response assignments outside normal business hours, including nights, weekends, and holidays, when necessary.\n, • Ability to sit or stand and use standard computer and office equipment throughout the workday.\n\n

Company Description Meridian brings context-aware AI agents to industries that have traditionally been overlooked in technology adoption such as supply chain, manufacturing, staffing and more. The company works closely with sector experts to automate operations, enhance decision-making, and unlock new efficiencies through applied AI. Meridian is backed by leading investors, including Sunflower Capital, Pear VC, SV Angel, and angels from Anthropic. Team members join a fast-moving environment where they can shape products from the ground up and see their work deployed directly in critical industry workflows. \n \n Role Description The Software Engineer role at Meridian is a full-time, on-site position based in New York, NY. In this role, the engineer designs, builds, and maintains backend systems and services that power AI-driven products, with a focus on performance, reliability, and scalability. Day-to-day responsibilities include writing clean, maintainable code, implementing APIs, integrating data sources, and collaborating with product and AI teams to translate requirements into technical solutions. The role also involves participating in code reviews, improving development processes, and troubleshooting production issues to ensure smooth operation of customer-facing systems. Engineers are expected to contribute to architectural decisions, documentation, and continuous improvement of the overall software stack. \n \n Qualifications \n\n • Strong foundation in Computer Science, including algorithms, data structures, and systems fundamentals.\n, • Proficiency in Software Development and Programming, with experience shipping production-quality code.\n, • Hands-on experience in Back-End Web Development, including building and maintaining APIs and services.\n, • Solid understanding of Object-Oriented Programming (OOP) principles and their application in modern codebases.\n, • Experience with Python, TypeScript and relational or NoSQL databases.\n, • Comfort working in Linux-based environments, using version control (Git) and standard development tooling.\n, • Ability to collaborate in a cross-functional team, communicate clearly, and take ownership of projects from design through deployment.\n, • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience; prior experience with AI/ML systems or data-intensive applications is a plus.\n

Our Mission Launched in 2012, Tinder® revolutionized how people meet, growing from 1 match to one billion matches in just two years. This rapid growth demonstrates its ability to fulfill a fundamental human need: real connection. Today, the app has been downloaded over 630 million times, leading to over 97 billion matches, serving approximately 50 million users per month in 190 countries and 45+ languages - a scale unmatched by any other app in the category. In 2024, Tinder won four Effie Awards for its first-ever global brand campaign, “It Starts with a Swipe”™\n \n Our Values One Team, One Dream We work hand-in-hand, building Tinder for our members. We succeed together when we work collaboratively across functions, teams, and time zones, and think outside the box to achieve our company vision and mission.\n \n Own It We take accountability and strive to make a positive impact in all aspects of our business, through ownership, innovation, and a commitment to excellence.\n \n Never Stop Learning We cultivate a culture where it’s safe to take risks. We seek out input, share honest feedback, celebrate our wins, and learn from our mistakes in order to continue improving.\n \n Spark Solutions We’re problem solvers, focusing on how to best move forward when faced with obstacles. We don’t dwell on the past or on the issues at hand, but instead look at how to stay agile and overcome hurdles to achieve our goals.\n \n Embrace Our Differences We are intentional about building a workplace that reflects the rich diversity of our members. By leveraging different perspectives and other ways of thinking, we build better experiences for our members and our team.\n \n The Team We are building a new, focused team within Tinder that feels a lot like a startup—nimble, efficient, and centered on building innovative features for the next generation of users. This role comes with a lot of ownership and visibility, as you’d be the founding Android engineer on the team and shape how we build the product, define architecture, and work closely with teams across the company to bring new ideas to life. You should be product- and user-oriented, and comfortable with autonomy and ambiguity.\n \n Where You’ll Work This is a hybrid role and requires in-office collaboration three times per week. This role is based out of our New York, NY office.\n \n In This Role, You Will \n\n • Lead the architecture design and implementation of consumer-facing features in the Tinder app\n, • Build compelling new in-app experiences that will reach tens of millions of users globally\n, • Coordinate with product and design teams and influence the roadmap and product development of the Tinder app and services\n, • Create and maintain internal shared frameworks and libraries\n, • Mentor, collaborate, and learn with innovative and passionate team members \nYou'll Need \n\n • 8+ years of professional experience developing native iOS applications\n, • Extensive experience building applications using Swift\n, • Strong software design skills, including a deep understanding of design patterns (e.g., Clean / MVVM / VIPER, and the benefits of each) and dependency injection\n, • Understanding of design guidelines (i.e. you know how to be a good iOS citizen while maintaining a strong unique brand identity)\n, • Clear communication style within a collaborative team environment\n, • The ability to combine good judgment, empathy, and technical skills \nNice To Have \n\n • BS or MS in Computer Science or Engineering \nCommitment to Inclusion At Tinder, we don’t just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don’t meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here: https://www.lifeattinder.com/dei\n \n If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly. #Tinder

Founding Engineer — Confidential Search \n \n New York City | Five days on-site in Manhattan \n $250,000–$500,000 base + up to 2% equity \n Full-time | No visa sponsorship available \n \n Right, the important bit first. \n \n This isn’t one of those “Founding Engineer” jobs where you’ll arrive as employee 47 and spend your first month sitting in planning meetings. \n \n You’ll be the first engineering hire, joining two founders in a small, seriously profitable business that has gone from zero to significant eight-figure revenue in under a year — without raising outside funding. \n \n The company is building a real-time pricing and decisioning platform for a fast-moving consumer marketplace. The engineering problems look a lot like electronic trading: huge amounts of changing market data, automated bidding, live inventory and decisions where the financial impact shows up almost immediately. \n \n You’ll sit beside the founders in the office and own the core technology behind it. \n \n What you’ll actually be doing \n \n • Building and owning the pricing engine, bidding infrastructure and data systems that power the platform \n • Turning AI and model research into production systems that run continuously \n • Building proper experimentation and A/B testing frameworks around pricing decisions \n • Improving the speed, throughput and reliability of the bidding systems \n • Creating AI-powered tooling for triage, production failures and model-drift detection \n • Making the big early architecture calls and setting the engineering standard as the team grows \n • Getting very close to the commercial side of the business — what you ship can affect revenue within hours \n \n The non-negotiables \n \n • You have 3–10 years of professional software engineering experience \n • You have genuine 0→1 experience. You’ve personally taken an ambiguous product or technically difficult system from an idea into production — ideally as a founder, founding engineer or one of the first engineers \n • You’ve worked somewhere with a genuinely high engineering bar, whether that’s a top technology company or a smaller team solving very hard problems \n • You’ve designed, built and operated data-intensive production systems \n • You’re strong with Python, or close enough technically that moving into a Python-heavy environment won’t be an issue \n • You have proper platform, infrastructure or distributed-systems experience \n • You’re naturally good with data and comfortable making decisions when the information is incomplete, noisy or moving quickly \n • AI is already part of how you build. You’re using LLMs, agents and modern developer tooling in real work, not just playing around with them at the weekend \n • Your career shows progression, ownership and things you have actually shipped \n • You’re comfortable disagreeing with smart people, backing your opinion and changing it when the evidence proves you wrong \n • You’re still a very hands-on engineer. This isn’t a people-management or operations role \n • You can work on-site in Manhattan five days a week \n • You already have unrestricted US work authorisation. Unfortunately, sponsorship isn’t available \n \n You’ll probably be especially interesting if \n \n • You’ve founded something yourself or joined very early and helped it achieve real commercial traction \n • You’ve built systems around pricing, trading, marketplaces, bidding or optimisation \n • You’ve worked on production AI, model evaluation, automated operations or experimentation \n • You’re interested in markets, pricing or trading systems \n • You have a strong computer science background \n \n Why it’s worth a look \n \n You’ll be joining a tiny, profitable team with no investors breathing down its neck and no layers of approval. There’s a lot still to build, the problems are properly difficult and the upside is real. \n \n You won’t be handed a polished roadmap. You’ll work things out with the founders, challenge them when needed and take full ownership of what gets built. \n \n The base salary is $250,000–$500,000, depending on experience and the level of impact you can have, with up to 2% equity on top. \n \n The process \n \n 1. A 30-minute chat with one of the founders \n 1. A one-hour technical interview with the technical co-founder \n 1. A take-home exercise \n 1. A presentation of your work to the team \n 1. A final on-site meeting \n \n If it’s a strong fit on both sides, the whole thing can move from first chat to offer inside two weeks. \n \n When you apply, make it easy to see what you personally owned, what you built from 0→1 and what happened as a result. A list of technologies won’t tell the story — the interesting bit is what you actually built.

About the Role \n \n We are seeking an experienced Software Engineer to join our engineering team responsible for building and maintaining both consumer-facing and internal back-office applications. In this role, you will develop scalable, high-performance systems that support Kashable’s consumer lending and employee benefits platform. This position involves working across the full technology stack—including backend Java development, database design, cloud and SaaS integrations, ETL processes, and modern front-end frameworks—while collaborating closely with senior engineers and cross-functional teams. The ideal candidate brings strong experience building large-scale enterprise applications, a solid understanding of object-oriented design and software development best practices, and a commitment to delivering reliable, high-quality code in a fast-paced, agile environment. \n \n Duties & Responsibilities \n \n\n • Develop and maintain highly performant, scalable subsystems and decision engine components that allow us to stay nimble in the fast-paced and evolving business of consumer lending and employee benefits\n, • Work across multiple layers of product infrastructure, including relational database development, low-level protocol integrations, ETL operations and automation, SaaS/PaaS cloud integrations, and frontend development. Thus, a commitment to collaborative problem solving, sophisticated design, and product quality is essential\n, • Execute architectural designs from Senior Engineers by writing efficient, reusable, and reliable source code in Java -- and other languages where applicable, e.g., SQL for RDBMS development\n, • Embrace best practices in software development (Code Reviews, Unit Tests, CI/CD) and leverage them every day\n\n \n Required Skills & Abilities \n \n \n\n • Proficient in Java, with a good knowledge of its ecosystems\n, • Solid understanding of OOP concepts and various design/programming patterns, including concurrency patterns\n, • Familiarity with Java Streams and Optional\n, • Familiarity with concepts of MVC, JDBC, CRUD/REST, and multi-tier architecture\n, • Familiarity with SCM tools, such as Git\n, • Familiarity with Spring and Hibernate\n, • Familiarity with build tools such as Ant, Maven, and/or Gradle\n, • Experience with relational database(s) and proficiency in SQL\n, • Experience with non-relational database(s) / NoSQL\n, • Experience with JavaScript and various front end libraries, or familiarity with front end frameworks, such as React, Angular or Vue\n, • Experience with Next.JS\n, • Familiarity with basic markup languages, such as HTML, XML, and JSON\n, • Familiarity with Unix/Linux operating system\n, • Experience with AI tools such as Claude, Cursor, ChatGPT, Grok or Gemini\n, • An appreciation for open and constructive dialog with your fellow team members\n\n \n Nice to Have: \n \n\n • Familiarity with basic integrative protocols, such as HTTP, FTP, SSH/SCP, JMS, SMTP, SMB, and JDBC\n, • Familiarity with basic security concepts, such as SSL/TLS, OAuth, encryption\n, • Familiarity with basic cloud concepts, such as AWS, GCP, and/or MS Azure\n, • Familiarity or proficiency with other programming languages, such as Python\n, • Familiarity with or proficiency with React Native/Expo development\n, • Familiarity with the TypeScript programming language\n, • Familiarity with Agile methodologies\n\n \n Work Location \n \n This is a hybrid position based in our New York City office. \n \n Education & Experience \n \n\n • BS Or MS in Computer Science or a related field.\n, • 3+ years of experience in Software Engineering or related roles, preferably within FinTech or a regulated industry.\n\n \n The pay range for this position is $100,000 to $200,000 annually. Actual compensation will depend on experience, qualifications and job related skills. We welcome all qualified candidates who are currently eligible to work full-time in the United States to apply. \n \n Kashable is an Equal Opportunity Employer. We consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other basis protected by applicable law. Kashable is not able to provide visa sponsorship for this role \n \n About Kashable \n \n Kashable is a fast growing, venture-backed FinTech startup headquartered in NYC. We provide inclusive, socially responsible, low-cost credit to American employees offered as a voluntary benefit through their employer. Kashable has raised over $400 million in capital, and has provided more than $1.5 billion in loans to working Americans across a footprint of employer clients that represent 4 million employees. We were founded in 2013 by a team of serial entrepreneurs with deep experience and expertise in the industry, and have since become the leading provider of financial wellness solutions at the workplace, catering to many Fortune 500 companies, governments, hospitals, and universities. We are a dynamic, ambitious, and hard-working team that is redefining financial wellbeing for working Americans. \n \n Perks & Benefits \n \n We offer a competitive salary, benefits, and perks designed to support both your professional growth and day-to-day wellbeing, including: \n \n\n • Medical, Dental (including Orthodontics), and Vision coverage\n, • PTO and paid holidays\n, • 401 (k) Plan with employer match\n, • Paid Parental Leave\n, • ClassPass subsidized membership\n, • Voluntary Life and disability insurance\n, • Commuter benefits\n, • Pet insurance\n, • Flexible Spending Accounts (FSAs)\n, • Weekly catered lunch and fully stocked kitchen\n, • Team events, lunch & learns, happy hours, birthday celebrations, volunteer opportunities\n\n

Hybrid 4 days on-site in Jersey City in Jersey City, NJ \n \n Our client seeks a senior back-end engineer to build scalable data services in Java and modernize critical custody systems. The role requires expertise in Spring-based microservices, distributed cloud services, and distributed data platforms. You will collaborate with product, quality, and cross-functional teams to solve design and architectural challenges and leverage open-source technologies. \n \n We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. \n \n Rate: $90.00 to $85.00/hr. w2 \n \n Responsibilities \n\n • Design and develop scalable back-end data services using Java frameworks.\n, • Work within Agile methodology and share software development best practices with the team.\n, • Collaborate with product owners, quality engineers, and cross-functional teams to deliver solutions and resolve design and architectural challenges.\n, • Leverage open-source technologies to meet business needs.\n, • Contribute to the modernization of a custody system with financial market impact.\n\n \n Experience Requirements \n\n • 12+ years of software development experience.\n, • Proven commercial experience with Java.\n, • Strong knowledge of Spring, Spring Boot, Lombok, JUnit, and Swagger.\n, • Experience building microservices.\n, • Experience with distributed cloud services, preferably Azure.\n, • Experience with distributed data technologies such as Kafka, MQ, or Spark.\n, • Experience designing and integrating REST and GraphQL APIs.\n, • Working knowledge of relational and in-memory databases including Oracle and Redis.\n, • Familiarity with Angular (preferred).\n, • Hands-on experience with Snowflake (preferred).\n, • Proficiency in an additional programming language such as Python, C++, or Groovy (preferred).\n, • Experience with CI/CD tools such as Jenkins, Harness, Ansible, and Docker (preferred).\n, • Investment industry knowledge (preferred).\n\n \n Education Requirements \n\n • BS degree in Computer Science or Engineering.\n

If you have previously applied for this role - we have your application, please do not reapply \n \n Location: In Office (NYC) Mon - Thurs. \n Employment Type: Full-time \n Visa Sponsorship / Transfers: We cannot sponsor H1B lottery applications (F1 / OPT etc.) \n \n About Domify \n Domify works with some of the largest financial institutions in the country to transform how compliance and regulatory oversight is conducted. We deploy our AI agents and orchestrations to solve a variety of compliance and operational challenges, bringing scale, cost efficiencies and a high degree of determinism to the process. \n \n Location: NYC in-office \n We expect the successful candidate to work from Domify's FiDi office NYC 4 days a week. Telecommuting, short NYC stays or relocation are not in consideration at this time. \n \n About the role \n We are looking for an all-round, hands-on Senior Platform Engineer to own and build out our AI infrastructure - whether on-prem (hosted by our clients in their environments) or our own SaaS offering. The ideal candidate will be comfortable facing off with client DevOps and Infra teams, and have extensive experience deploying enterprise grade infra. They will also have the opportunity to step in and help colleagues build and ship product-grade AI features. Some client on-site travel may be required as needs arise, in a quasi-FDE role. \n \n What you will do (required skills): \n\n • Build and operate Kubernetes (EKS) workloads, plus portable deployments that run inside client environments across cloud providers.\n, • Own our infrastructure as code in Terraform, building modular, reusable configurations for both our infrastructure and our clients'.\n, • Manage release delivery with Helm and build CI/CD pipelines in GitHub Actions covering build, test, scan, and deploy.\n, • Stand up observability — telemetry, logging, alerting, and on-call-ready dashboards — using AWS-native tooling and EKS log pipelines.\n, • Run PostgreSQL in production: connection pooling, query and index tuning, backups, replication, and failover.\n, • Forward-deploy the stack into client infrastructure and contribute to product engineering (Python, React) as startup priorities demand.\n\n \n Required Skills and Qualifications: \n\n • A minimum of 5yrs of work experience in enterprise software and deployments.\n, • Production Kubernetes on EKS and deep AWS experience, plus working competence in a second cloud and a track record of cloud-agnostic deployments that run outside your own account.\n, • Strong command of infrastructure as code and delivery tooling: Terraform, Helm, GitHub Actions, and Docker.\n, • PostgreSQL operations — load management, tuning, replication, backup and restore — and observability across AWS and Kubernetes.\n, • Python strong enough to contribute to product code, on top of solid Linux, networking, and security fundamentals.\n\n \n Good to have: \n\n • Prior experience with enterprise FinTech, preferably in an AI / ML role\n, • A degree in Computer Science, Engineering, or a related field (BSc/MSc)\n, • Hands-on experience with new product delivery, ideally within startups.\n, • Domain expertise in financial services, wealth and investment management\n\n \n What We Offer: \n\n • A pivotal role in a rapidly growing startup set to reshape regulatory compliance.\n, • The opportunity to work with a diverse group of successful and motivated colleagues and advisors from the industry.\n, • Substantial equity stake in an early stage startup, aligning your success with ours, competitive base salary, and health benefits.\n, • A chance to shape the future of AI technology alongside a diverse and talented team.\n\n

Job title: Senior Java Web Engineer \n Location: New York, NY 10005 \n • 1st Preference: New York City, NY \n • 2nd Preference: Massachusetts, Fort Mill, South Carolina, Raleigh, North Carolina, Washington DC \n \n Work Arrangement: Hybrid \n Employment Type: Contract \n Compensation: $45 per hour W2 \n Desired Start Date: 09/19/2026 \n \n About the Role: \n \n We are seeking an experienced [Senior Java Web Engineer] to join our team. The successful candidate will be responsible for the job responsibilities as listed below and will work closely with [team/stakeholders] to deliver high-quality solutions. \n \n Key Responsibilities: \n · Contributes to design, development, and implementation of backend services and web applications. \n · Writes clean, maintainable, and well-tested code following established engineering practices. \n · Participates in technical design discussions and collaborates with senior engineers and architects. \n · Works closely with frontend developers to integrate backend services with UI components. \n · Supports troubleshooting, debugging, and performance optimization of applications. \n · Breaks down user stories into technical tasks and delivers within agreed timelines. \n · Collaborates effectively in Agile teams with product owners, QA, and other developers. \n · Maintains and improves existing systems while ensuring stability and reliability. \n · Builds positive relationships within the team and contributes to a collaborative environment. \n · Communicates technical concepts clearly to both technical and non-technical stakeholders. \n · Continuously develops technical expertise and stays up to date with modern technologies and frameworks. \n \n Required Qualifications: [4-8]+ years of professional experience in [Java 21, React (version 17), Spring Boot 3.x ]. \n \n Essential skills: \n · Strong Java fundamentals (Java 21 preferred) including core concepts (collections, concurrency, memory management). \n · Solid experience with Spring Framework (Spring 4+) and Spring Boot 3.x. \n · Experience building and consuming REST APIs. \n · Good knowledge of React (version 17) and integration with backend services. \n · Strong understanding of web application architecture and client-server communication. \n · Experience with SQL and relational databases (e.g. PostgreSQL). \n · Proficiency with version control (Git) and build tools (Maven/Gradle). \n · Strong focus on clean code, unit testing, and code reviews. \n · Familiar with Agile development practices. \n · Comfortable working in Linux/Unix environments. \n · 4–8+ years of software engineering experience. \n \n Other desirable skills: \n · Experience with JSF / JSP applications and legacy UI technologies. \n · Familiarity with modern frontend practices and component-based architectures. \n · Experience with CI/CD pipelines and testing practices. \n · Exposure to Docker / containerization. \n · Basic understanding of distributed systems. \n · Familiarity with Spring ecosystem tooling. \n · Knowledge of financial systems or trading platforms is a plus. \n \n Educational background: \n · BS/MS in Computer Science or equivalent software engineering qualification. \n \n Interviews: \n There are three rounds of interview to select the candidate \n Round 1: Technical discussion \n Round 2: Live coding test by client \n Round 3: Technical discussion with client (Face to face for New York location candidates, Virtual for other location candidates) \n \n Work Authorization: Applicants must be legally authorized to work in the United States. \n \n Equal Employment Opportunity \n \n Themesoft Inc is an Equal Employment Opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by applicable federal, state, or local law. \n

The Artificial Intelligence Security Engineer leads enterprise efforts to protect and govern machine learning systems, frontier models, and generative AI deployments. This practitioner is responsible for establishing technical defenses, continuously analyzing model behaviors, vetting external AI services, and ensuring all automated tools adhere strictly to client confidentiality mandates, statutory obligations, and cybersecurity governance standards. \n \n Key Responsibilities \n\n • Comprehensive AI Risk Analysis: Lead pre-implementation security, governance, and privacy evaluations for commercial LLM platforms, specialized legal tech, retrieval-augmented workflows, and workplace assistants.\n, • Specialized Threat Hunting & Monitoring: Identify and neutralize novel machine learning attack vectors, including indirect prompt manipulation, training data poisoning, model-driven data loss, and unauthorized shadow AI implementations across the enterprise.\n, • Third-Party Model & Vendor Assurance: Execute technical due diligence on prospective AI partners, scrutinizing data retention policies, model training boundaries, geographic hosting criteria, and compliance attestations against frameworks like ISO/IEC 42001 and SOC 2 Type II.\n, • Information Protection & Governance: Work closely with legal, risk, and operational teams to enforce data boundaries that stop protected work product, attorney-client privileged materials, and sensitive personal data from entering public or unmonitored model architectures.\n, • Incident Handling & Forensics: Direct investigation, triage, and mitigation strategies for security events involving machine learning endpoints, compromised service credentials, and model exploitation.\n, • Adversarial AI Testing & Red Teaming: Design and run offensive security exercises against internal pipelines and external models, simulating jailbreak strategies, prompt extraction, membership inference, model inversion, and autonomous agent hijacking. Manage third-party penetration testing scopes and translate outcomes into concrete remediation plans.\n, • Workforce Enablement & Guidance: Formulate technical guidelines, best practices, and security awareness modules educating personnel on secure AI interaction and risk prevention.\n, • Regulatory Governance & Standards: Align internal AI security controls with developing legal and industry benchmarks, including the NIST AI Risk Management Framework, European Union AI legislation, state financial cyber standards, and bespoke client security addenda.\n\n \n Required Qualifications \n\n • Minimum 5 years of professional experience in information security, including at least 2 dedicated to securing machine learning ecosystems, LLMs, or enterprise AI risk governance.\n, • Proven background conducting offensive AI testing, jailbreak research, and exploit prototyping, with deep familiarity using the MITRE ATLAS matrix and the OWASP Top 10 for Large Language Model Applications.\n, • Direct hands-on experience using automated adversarial assessment suites (such as Promptfoo, Microsoft PyRIT, NVIDIA Garak, Giskard, or proprietary testing scripts).\n, • Thorough architectural comprehension of transformer pipelines, retrieval-augmented generation (RAG) architectures, vector stores, and autonomous agent execution frameworks.\n, • Practical background securing modern workplace productivity assistants and cloud-hosted model APIs (such as Azure OpenAI Service, Claude enterprise environments, and Microsoft 365 Copilot ecosystems).\n, • Working proficiency with enterprise identity controls, data loss prevention (DLP), and content labeling systems (e.g., Microsoft Entra ID and Microsoft Purview).\n, • Bachelor of Science in Cybersecurity, Computer Science, Information Technology, or an equivalent discipline.\n\n \n Required Certifications \n\n • Must hold at least one active credential:\n, • Certified Information Systems Security Professional (CISSP)\n, • Certified Information Security Manager (CISM)\n\n \n Desirable Experience \n\n • Prior security engineering or governance background within legal organizations, investment management, banking, or similar high-scrutiny sectors.\n, • Documented engagement in public or private AI vulnerability disclosure programs, CTF competitions, or published defensive/offensive ML research.\n\n

Hybrid Every other week onsite/5 days in Jersey City, NJ \n \n Our client seeks a senior software engineer to lead design and development of next-generation electronic trading systems. The role focuses on low-latency, high-throughput, distributed platforms with event-driven architectures. You will collaborate across teams, mentor engineers, and drive performance, scalability, and resilience improvements in a mission-critical environment. \n Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. \n \n Rate: $75.00 to $85.00/hr. w2 \n \n Responsibilities \n\n • Architect and develop distributed, event-driven trading systems optimized for low latency and high throughput.\n, • Design and implement asynchronous processing frameworks and resilient messaging services.\n, • Collaborate with internal and external teams to deliver robust, end-to-end electronic trading workflows.\n, • Lead platform-wide performance tuning and optimization initiatives.\n, • Mentor engineers and promote engineering best practices.\n, • Support production and non-production environments, including participation in a weekly on-call rotation.\n\n \n Experience Requirements \n\n • 10+ years of hands-on software design and development experience.\n, • Expertise in Java, C/C++, Python, and Linux.\n, • Deep experience with low-latency messaging systems such as 29West or Kafka.\n, • Proficiency with KDB+ or other time-series databases.\n, • Background in building scalable, distributed, asynchronous, and event-driven applications.\n, • Advanced knowledge of low-latency design patterns and performance optimization techniques.\n, • Experience with Capital Markets or Brokerage systems, including order management.\n, • Understanding of the FIX protocol and FIX engines.\n, • Familiarity with AI developer assist tools such as GitHub Copilot.\n, • Experience with CI/CD tools including GitHub, Maven, Jenkins, Artifactory, and uDeploy.\n, • Hands-on experience deploying applications to AWS or other cloud platforms.\n, • Ability to analyze end-to-end systems to identify performance, scalability, and resilience bottlenecks.\n, • Strong analytical, communication, and organizational skills.\n, • Ability to manage multiple tasks and work in a collaborative team environment.\n, • Self-driven innovation and comfort working with leadership.\n, • Willingness to support production systems and participate in on-call rotations, including occasional weekend support.\n\n \n Education Requirements \n\n • Bachelor’s degree in Computer Science, Engineering, Information Technology, or equivalent.\n

Senior AI Software Engineer (Full Stack) \n \n \n At Dioptra, we're transforming the way enterprises do business by turning contracts into structured business intelligence that powers enterprise systems. We're accelerating that vision by combining industry-leading AI technology with a world-class engineering team. As an early member of the Dioptra team, you'll work alongside the founders who built one of the industry's most advanced contract AI platforms and help define the future of enterprise legal technology. This is an opportunity to work on cutting-edge AI agents, influence product direction, and solve complex technical challenges in a rapidly growing market. \n \n \n About the Role \n We're looking for a Senior AI Software Engineer to help build the next generation of AI-powered contract intelligence products. You'll collaborate closely with engineering, product, and design teams to architect, develop, and scale intelligent applications that combine modern AI capabilities with enterprise-grade software engineering \n \n As one of the early engineers on this team, you will \n\n • Design, build, and maintain Agentic AI-powered applications across the full stack\n, • Develop intelligent workflows using modern agentic frameworks\n, • Architect scalable backend services and user-facing applications\n, • Build reliable integrations with enterprise systems and cloud infrastructure\n, • Drive engineering best practices, technical strategy, and architectural decisions\n, • Define success metrics and continuously improve product performance\n, • Partner directly with leadership and product teams to deliver customer value\n, • Take ownership of major technical initiatives from concept through production\n\n \n Required Qualifications \n Experience \n\n • 4+ years of professional experience building AI-powered software products (8+ years preferred for senior candidates)\n, • Experience working in a SaaS startup or other fast-paced product environment\n, • Proven ability to thrive in ambiguous, rapidly evolving environments.\n, • Daily experience using AI-assisted development tools such as Cursor, Codex, or similar\n\n \n Technical Skills \n\n • Strong proficiency in Python\n, • Experience with SQL and relational databases (PostgreSQL preferred).\n, • Hands-on experience building applications using LLMs from OpenAI, Anthropic, or similar providers.\n, • Experience with AI agent frameworks such as LangGraph, LangChain, CrewAI, or AutoGen\n, • Experience designing and deploying production AI applications.\n, • Familiarity with CI/CD pipelines, Git, and modern software development practices\n, • Experience with containerization and cloud platforms, including Docker, Kubernetes, AWS, Azure, or Google Cloud Platform\n, • Understanding of LLM evaluation, monitoring, and observability.\n, • Experience training or fine-tuning models is a plus.\n\n \n Education \n\n • Bachelor's degree in Computer Science or a related technical discipline, or equivalent practical experience.\n\n \n What We're Looking For Successful candidates will demonstrate: \n\n • A product mindset with the ability to balance speed and quality\n, • Comfort owning complex technical challenges with minimal direction\n, • Excellent collaboration and communication skills.\n, • A desire to make a significant impact as part of a small, high-performing team\n\n \n Pluses We're especially interested in candidates who have: \n\n • Built and shipped production AI applications\n, • Worked at high-growth startups\n, • Experience across both backend and frontend development.\n, • A track record of driving technical initiatives and mentoring other engineers\n\n \n Why Join Dioptra? \n\n • Work directly with the founders behind one of the industry's leading AI contract platforms\n, • Build state-of-the-art AI agent technology used by enterprise customers\n, • Own meaningful technical decisions and influence product direction.\n, • Join a small, highly collaborative team with significant autonomy.\n, • Help shape the future of enterprise AI and contract intelligence.\n\n \n

About the Company \n We're partnering with a fast-growing AI infrastructure startup that's building the security, governance, and observability platform for enterprise AI. Backed by leading venture investors, the company is helping organizations securely deploy AI agents, tools, and workflows at scale. \n \n About the Role \n We're looking for a Forward Deployed Engineer to own the technical side of customer implementations. This is a unique opportunity to combine software engineering, solutions architecture, and customer-facing consulting as you help enterprise customers successfully deploy cutting-edge AI infrastructure. \n \n Responsibilities \n\n • Own technical GTM of POCs and customer implementations\n, • Run pre-sales technical deep dives, demos, and architecture discussions\n, • Troubleshoot integrations across customer environments (IdPs, security tooling, infrastructure)\n, • Build one-off solutions and custom configurations for enterprise customers\n, • Be the technical expert in the room during sales cycles, able to handle stump questions from senior engineers\n\n \n Qualifications \n\n • 4+ years of software engineering, solutions engineering, or technical consulting experience\n, • Strong technical background with experience in enterprise infrastructure, security, or AI platforms\n, • Expert of Model Context Protocol (MCP) with hands-on experience working with MCP-based tools, integrations, or infrastructure\n, • Preferred Computer Science degree\n\n \n Bonus Qualifications \n\n • Shipped production code at some point in your career\n, • Experience with enterprise infrastructure, identity systems, or security tooling\n, • Built your own side projects or have founder experience\n\n \n If you're interested, please apply now or contact Ellena Yeo at ellena.yeo@talentinternational.com.

We're an AI lab built differently. We work where database systems meet interoperability, and our direction comes from the actual problems our enterprise partners face. \n \n We're drawn to work that's difficult, purposeful and fun all at once. Our best days start with a hard problem on the whiteboard, run through stretches of coding and testing ideas and end with an empty pizza box and a solved problem. At our core, we're people who build because we enjoy it, chase problems that haven't been cracked yet and always end up thinking past what was originally asked. \n \n 💡 About the Role \n We're bringing on a Founding Software Engineer to build products from zero and turn raw research concepts into functioning systems. The work spans product development, co-authoring papers for top scientific conferences and contributing to our open-source projects. \n \n This role comes with real ownership. You'll be part of building an applied AI research lab from the ground floor, and the equity reflects that level of responsibility. \n \n 🔨 Who We're Looking For \n People who: \n\n • Are currently pursuing a PhD or already hold one. We operate as a research lab, so every technical hire is expected to publish;\n, • Bring hands-on building experience, from hackathons to side projects to products actually shipped (extra credit if it scaled);\n, • Generate ideas nonstop. Give them one feature to build and they'll return with three more suggestions unprompted;\n, • Are drawn to collaborating closely with PhD researchers on new directions in AI, ML and database systems;\n, • Take full ownership of what they build from start to finish.\n\n \n 🔬 Who We Are \n\n • Growing quickly: pre-seed round closed, partnerships secured with leading universities and a major enterprise client signed, all inside a few months;\n, • Operating from two well-regarded academic campuses;\n, • Founded by a technical lead holding a PhD in computer science from a top-ranked program;\n, • Focused on publishing at major scientific venues multiple times per year, crediting every technical team member as an author.\n\n \n A PhD in progress or already completed is required for this role. As a research lab, we expect every technical team member to publish.

Senior Data Engineer — Contract \n Location: Hybrid — 3 days/week onsite in Newark, NJ \n \n About the Role \n Join a major investment firm as a Senior AWS Data Engineer supporting enterprise data platform initiatives. This role focuses on building scalable data pipelines, CI/CD automation, and end-to-end data solutions across the AWS ecosystem. Experience with Informatica (data catalogue, marketplace, data lineage, data quality), Denodo, and/or Ataccama is a strong plus. \n \n Qualifications \n\n • Bachelor's degree in Computer Science, Software Engineering, MIS, or equivalent combination of education and experience\n, • 8+ years of experience as a Data Engineer on the AWS stack, including DevOps tooling\n, • AWS Solutions Architect or AWS Developer Certification required\n, • Strong hands-on experience with AWS services, including:\n, • CloudFormation, S3, Athena, Glue, Glue DataBrew, EMR/Spark\n, • RDS, Redshift, DynamoDB, Lambda, Step Functions\n, • IAM, KMS, SM, EventBridge, EC2, SQS, SNS\n, • LakeFormation, CloudWatch, CloudTrail, DataSync, DMS\n, • Experience implementing high-velocity streaming solutions using Amazon Kinesis, AWS Managed Airflow, and AWS Managed Kafka (preferred)\n, • Proven experience building AWS data lake/data warehouse solutions\n, • Skilled in designing, developing, and implementing data ingestion pipelines on AWS\n, • Knowledge of ETL/ELT implementation for data solutions\n, • Experience delivering end-to-end data solutions: ingest, storage, integration, processing, and access\n, • Familiarity implementing RBAC strategies using AWS IAM and Redshift RBAC model\n, • Experience building and implementing CI/CD pipelines using CloudFormation and Jenkins\n, • Strong programming skills in Python, Shell scripting, and SQL\n, • Experience with SQL stored procedures for data analysis\n, • Experience building automated pipelines to ingest data from relational databases, file systems, and NAS shares into AWS RDS, Aurora, and Redshift\n, • Experience building automated pipelines to ingest data from REST APIs into AWS S3 and relational databases\n, • Solid DevOps background, including:\n, • Bitbucket (source code management)\n, • Python, Shell, Groovy scripting\n, • API deployment for tooling integration\n, • Jenkins and CloudBees (Pipeline as Code, Shared Libraries)\n, • SonarQube, Artifactory, and similar DevOps tools\n, • Maven, MS Build, Gradle\n, • Docker\n, • Jira and Confluence\n, • Infrastructure as Code via CloudFormation\n, • Experience creating Jenkins CI pipelines integrating Sonar/security scans and test automation\n, • Ability to accurately document exceptions, issues, action plans, meeting minutes, and lessons learned\n\n \n Responsibilities \n\n • Design, build, and maintain efficient, reusable, and reliable code\n, • Ensure optimal performance and quality of high-scale data applications and services\n, • Participate in system design discussions\n, • Independently perform hands-on development and unit testing\n, • Collaborate with the development team to integrate components into the enterprise data platform\n, • Work cross-functionally with product, QE/QA, and other teams throughout the full software development lifecycle\n, • Identify and resolve performance issues\n, • Stay current with emerging technologies and implementation practices\n, • Participate in code reviews to ensure standards and best practices are met\n, • Take ownership of estimating, planning, and managing tasks in an Agile environment\n, • Take shared responsibility for software quality rather than relying on separate QA teams\n, • Collaborate closely with all team members toward shared goals\n, • Engage with users as needed to clarify requirements\n\n

Job Title: DevOps Engineer II \n Location: Jersey City NJ (Hybrid) \n Duration: 6+ Months (Possible Extension) \n \n ("US citizens and Green Card Holders and those authorized to work in the US without restriction are encouraged to apply. We are unable to sponsor H1b candidates at this time.”) \n \n A reasonable, good faith estimate of the minimum and maximum hourly rate on W2 for this position is $60 to $70 with limited benefits. W2 Only \n \n Job Description: \n Purpose of Role: This role is to enhance the dynamic infrastructure our applications run on, and ensure stability, consistency and security of our Production systems. \n \n Requirements: \n\n • Bachelor’s Degree in Computer Science, Information Systems, or related field required.\n, • 3 years of proven experience with Linux Administration, Windows Administration, and IIS Management. Deep understanding of IIS concepts and settings.\n, • 3 years of experience with Amazon Web Services (AWS) – EC2, S3, CloudFormation\n, • Moderately experienced in: Bash, Powershell, Python, XML, Web concepts such as REST APIs and SPA, HTTP Get and Post\n, • Skilled with Development tools and methodologies, such as XML config files, Rest API calls, HTTP Headers and Response Codes\n, • Proven experience and understanding with Continuous Integration/Deployment Technologies: Atlassian Bamboo, Octopus Deploy, MSBuild, NUnit, GIT, Maven, Docker.\n, • Must have passion for technology and focused on automation.\n\n \n Responsibilities \n\n • Administer and build Development Continuous Integration pipelines of moderate complexity. Setup build plans, assist developers with failures and manage software configurations. Ensure end-to-end deployments succeed and AWS resources come up in an automated fashion. Provides input on Cloud environment setup and implementation plan.\n, • Support developers with server troubleshooting and application errors due to environmental issues. Debug Production Outages and take actions resulting from root cause analysis. Monitor Production Environment and take action to keep systems stable and running.\n, • Implement Production Migrations (off-hours) and provide off-hour support when needed to troubleshoot problems with mission-critical applications.\n, • Support developers with dev tools setup to enable application development, such as Git repositories or Monitoring tool configuration.\n\n

Job Title: Lead GenAI Engineer - Banking Client Exp required \n Location: Manhattan, NY (3 days a week onsite) \n Duration: 6 months rolling contract \n £70/Hr on C2C \n \n GC and USC Candidates only \n Interview Process:- 2 Rounds- Interview will be in person in NY office \n \n Description \n We are looking for a highly skilled and hands-on GenAI Engineer to drive the design, development, and deployment of enterprise-scale Generative AI solutions. The ideal candidate will have strong expertise in Agentic AI workflows, RAG architectures, LLM orchestration, workflow automation, and scalable AI platform engineering. This role requires both technical depth and the ability to translate complex business problems into practical AI-driven solutions. \n Key Responsibilities \n\n • Lead the architecture, design, and implementation of enterprise GenAI platforms and AI-powered applications.\n, • Design and develop Agentic AI workflows using autonomous and multi-agent frameworks.\n, • Build and optimize RAG (Retrieval-Augmented Generation) pipelines integrating enterprise knowledge sources.\n, • Develop intelligent workflow automation solutions using GenAI and AI agents.\n, • Collaborate with business stakeholders to identify AI opportunities, define use cases, and architect scalable solutions.\n, • Create AI solutions for:\n, • Business process automation\n, • Knowledge management\n, • Intelligent document processing\n, • Conversational AI\n, • Decision support systems\n, • Code generation and developer productivity\n, • Design scalable APIs and microservices for AI applications.\n, • Implement observability, monitoring, guardrails, security, and governance for AI systems.\n, • Optimize LLM performance, prompt engineering, latency, and cost efficiency.\n, • Mentor engineering teams and establish AI engineering best practices.\n, • Drive deployment automation and production readiness using DevOps and MLOps practices.\n\n Required Skills & Experience \n Generative AI & LLMs \n\n • Strong experience with:\n, • OpenAI GPT models\n, • Claude\n, • Gemini\n, • Llama\n, • Mistral\n, • Expertise in:\n, • Prompt engineering\n, • Fine-tuning concepts\n, • Function calling / tool usage\n, • AI agent orchestration\n, • Context management\n, • Memory handling\n\n Agentic AI & Workflow Orchestration \n\n • Experience designing autonomous AI systems using:\n, • LangChain\n, • LangGraph\n, • CrewAI\n, • AutoGen\n, • Semantic Kernel\n, • LlamaIndex\n, • Strong understanding of:\n, • Multi-agent systems\n, • Planning and reasoning workflows\n, • Human-in-the-loop workflows\n, • AI orchestration patterns\n\n RAG & Knowledge Systems \n\n • Hands-on experience with:\n, • RAG architecture design\n, • Vector databases\n, • Embedding models\n, • Semantic search\n, • Hybrid search\n, • Chunking strategies\n, • Document ingestion pipelines\n, • Experience with vector databases such as:\n, • Pinecone\n, • Weaviate\n, • ChromaDB\n, • FAISS\n, • Milvus\n, • Elasticsearch/OpenSearch vector search\n\n Backend & API Development \n\n • Strong Python development experience.\n, • Experience building:\n, • REST APIs\n, • FastAPI / Flask services\n, • AI microservices\n, • Async processing pipelines\n, • Familiarity with API integration patterns and enterprise integrations.\n\n Cloud, DevOps & Deployment \n\n • Experience with:\n, • Docker\n, • Kubernetes\n, • Containerization\n, • CI/CD pipelines\n, • GitHub Actions / Jenkins / GitLab CI\n, • Terraform or Infrastructure as Code\n, • Cloud platform expertise in one or more:\n, • AWS\n, • Azure\n, • GCP\n, • Exposure to:\n, • MLOps\n, • Model deployment\n, • Monitoring and logging\n, • AI governance and security\n\n Frontend & UI \n\n • Working knowledge of:\n, • Angular\n, • TypeScript\n, • React (good to have)\n, • Ability to collaborate on AI-powered UI/UX workflows and conversational interfaces.\n\n Data & Databases \n\n • Experience with:\n, • SQL / NoSQL databases\n, • PostgreSQL\n, • MongoDB\n, • Redis\n, • Data pipelines\n, • ETL workflows\n\n Good to Have \n\n • Experience with AI copilots and enterprise assistants.\n, • Knowledge of MCP (Model Context Protocol).\n, • Experience with workflow tools like:\n, • Apache Airflow\n, • n8n\n, • Temporal\n, • Camunda\n, • Exposure to AI security, responsible AI, and governance frameworks.\n, • Experience in Capital Markets, Banking, Healthcare, Retail, or other enterprise domains.\n, • Familiarity with OCR, speech-to-text, and multimodal AI solutions.\n\n Qualifications \n\n • Bachelor’s or Master’s degree in Computer Science, Engineering, AI, or related field.\n, • 8+ years of software engineering experience with 3+ years in AI/GenAI architecture and solutioning.\n, • Strong communication and stakeholder management skills.\n, • Proven ability to lead technical teams and drive enterprise AI adoption.\n\n Preferred Profile \n\n • Strong problem solver who can convert ambiguous business challenges into scalable AI solutions.\n, • Ability to balance innovation with enterprise-grade architecture and operational excellence.\n, • Passion for emerging AI technologies and rapid experimentation.\n\n

Hello, \n \n We have 2 urgent openings for "Java Software Engineer". These are hybrid roles. \n \n Only looking for candidates who can work on W2 \n Strictly no C2C or third-party vendors \n \n Location: Jersey City, NJ \n Duration: 12+ months \n \n Job Description \n We are seeking an experienced Senior Java Software Engineer to join our technology team in Jersey City, NJ. The ideal candidate will have strong hands-on experience in Core Java and Java 8, along with expertise in Spring Boot, Spring JPA, and Hibernate. \n The role involves designing, developing, and supporting high-performance, scalable applications that process large volumes of financial transactions and data. The candidate should have strong fundamental coding skills and be comfortable working in a high-volume financial services environment. \n \n Key Responsibilities \n\n • Design, develop, test, and maintain robust and scalable Java applications using Core Java and Java 8.\n, • Apply strong knowledge of Java fundamentals, object-oriented programming, design principles, and clean coding practices.\n, • Develop highly concurrent and multi-threaded applications using Java concurrency and multi-threading concepts.\n, • Work extensively with the Java Collections Framework, including List, Set, Map, and concurrent collections.\n, • Use Java 8 Lambda expressions and Stream APIs to implement efficient data-processing solutions.\n, • Demonstrate strong understanding of Stream operations such as map, filter, groupingBy, collect, and reduction operations.\n, • Develop and optimize database interactions using JDBC.\n, • Build persistence layers using Spring JPA and Hibernate.\n, • Develop RESTful services and enterprise applications using Spring Boot.\n, • Analyze application performance using Java profiling and monitoring tools and identify memory, CPU, threading, and performance bottlenecks.\n, • Develop applications capable of processing and handling large volumes of financial data and transactions.\n, • Troubleshoot production issues, perform root-cause analysis, and implement permanent solutions.\n, • Collaborate with architects, developers, business analysts, QA teams, and other stakeholders in an Agile development environment.\n, • Follow enterprise standards for security, scalability, reliability, coding, testing, and deployment.\n\n \n Required Skills / Experience \n 1. Core Java / Java 8 – Must Have \n\n • Strong hands-on experience with Core Java and Java 8.\n, • Excellent understanding of object-oriented programming, exception handling, interfaces, abstract classes, and Java fundamentals.\n, • Strong knowledge of Java Collections API.\n, • Strong experience with multi-threading and concurrency, including threads, synchronization, executors, locks, and concurrent collections.\n, • Hands-on experience with Lambda expressions and Stream API.\n\n \n 1. Spring Boot / Spring Framework – Must Have \n\n • Strong hands-on experience with Spring Boot.\n, • Experience developing enterprise-grade REST APIs and backend services.\n, • Good understanding of Spring dependency injection, configuration, exception handling, and application lifecycle.\n, • Experience building scalable and maintainable applications using Spring-based frameworks.\n\n \n 1. Spring JPA / Hibernate – Must Have \n\n • Strong experience with Spring Data JPA and Hibernate.\n, • Experience developing database-driven applications using ORM technologies.\n, • Strong understanding of entity relationships, lazy/eager loading, transactions, JPQL, and query optimization.\n, • Experience troubleshooting database and ORM performance issues.\n\n \n 1. Financial Services / High-Volume Applications – Must Have \n\n • Previous experience developing Java/Spring applications in a financial services, banking, capital markets, or other high-volume transaction-processing environment.\n, • Experience working with applications that process large volumes of data and transactions.\n, • Understanding of requirements around application performance, scalability, reliability, and data integrity in financial systems.\n, • Experience troubleshooting performance and production issues in large-scale enterprise applications.\n\n \n Preferred Qualifications \n\n • Bachelor's degree in Computer Science, Engineering, or a related field.\n, • Experience working in large enterprise technology environments.\n, • Experience with RESTful APIs and microservices architecture.\n, • Experience with SQL and relational databases.\n, • Experience with Agile/Scrum development methodologies.\n, • Strong problem-solving and analytical skills.\n, • Excellent communication and collaboration skills.\n\n \n Top 5 Must-Have Skillsets \n\n • Senior-level Core Java / Java 8 – strong coding fundamentals, collections, multi-threading, concurrency, JDBC.\n, • Java 8 Lambda & Stream API – including map, groupingBy, filtering, collecting, and complex data transformations.\n, • Spring Boot – hands-on enterprise application and REST API development.\n, • Spring JPA / Hibernate – ORM, transactions, entity relationships, and database performance.\n, • Financial Services / High-Volume Systems – experience building and supporting scalable Java/Spring applications handling large volumes of financial data or transactions.\n\n \n Ideal Candidate Profile \n The ideal candidate is a hands-on Senior Java Engineer with strong Core Java fundamentals and proven experience building high-performance, scalable applications in the financial services domain. The candidate should be particularly strong in Java 8, concurrency, collections, Lambda/Streams, Spring Boot, JPA, and Hibernate, with the ability to troubleshoot and optimize applications operating at enterprise scale. \n \n \n ABOUT US: \n Anagh Technologies is a technical consulting firm specializing in UI, Front-End, and Full-Stack web technologies. We currently have 30+ positions in Angular, React, Node, and Java. \n \n If technically strong, we can 100% get you an offer within 2 weeks MAX, as we will consider you for multiple roles at once. If you are interested and are available, please email me your resume and contact information to rohit AT anaghtech.com. Thank you for your time.

Senior AWS Data Engineer / DevOps Engineer \n Contract Opportunity with a Major Investment Firm \n Location: Newark, NJ (Hybrid – 3 days onsite per week) \n \n Join a highly visible Enterprise Data Platform team responsible for designing and building cloud-native data solutions supporting enterprise analytics, governance, and modern data architecture initiatives. You'll work in a cutting-edge AWS environment leveraging advanced data engineering, DevOps, and data governance technologies. \n \n This is an excellent opportunity for an experienced AWS Data Engineer who enjoys building scalable data pipelines, automating infrastructure, and working across cloud engineering, DevOps, and enterprise data platforms. \n \n What You'll Be Working With \n The environment includes several leading enterprise data management platforms, including: \n\n • Informatica Data Catalog\n, • Informatica Data Marketplace\n, • Informatica Data Lineage\n, • Informatica Data Quality\n, • Denodo\n, • Ataccama\n\n Experience with any of these platforms is considered a strong plus. \n \n Key Responsibilities \n\n • Design, develop, and maintain scalable AWS-based data engineering solutions.\n, • Build automated data ingestion pipelines from databases, APIs, file systems, and NAS shares into AWS data lakes and relational databases.\n, • Develop end-to-end data solutions including ingestion, storage, processing, integration, and data access.\n, • Design and implement modern ETL/ELT pipelines.\n, • Build enterprise-scale AWS Data Lake and Data Warehouse solutions.\n, • Develop infrastructure using Infrastructure as Code (CloudFormation).\n, • Build and maintain CI/CD pipelines using Jenkins and CloudBees.\n, • Implement DevOps best practices across AWS environments.\n, • Create automated deployment pipelines integrating SonarQube, security scans, and automated testing.\n, • Collaborate with architecture, QA, product, and engineering teams throughout the SDLC.\n, • Participate in Agile ceremonies including estimation, planning, code reviews, and sprint execution.\n, • Troubleshoot application and pipeline performance issues.\n, • Document technical designs, implementation decisions, issues, and lessons learned.\n, • Stay current with emerging AWS technologies and engineering best practices.\n\n \n Required Qualifications \n\n • Bachelor's degree in Computer Science, Information Systems, Software Engineering, or related field.\n, • 8+ years of Data Engineering experience.\n, • AWS Solutions Architect or AWS Developer Certification (required).\n, • Strong experience building cloud-native data platforms on AWS.\n, • Experience developing enterprise data ingestion pipelines.\n, • Strong Python, SQL, and Shell scripting experience.\n, • Experience with AWS Data Lake and Data Warehouse architectures.\n, • Experience implementing ETL/ELT solutions.\n, • Strong DevOps experience with CI/CD automation.\n\n \n Hands-on experience with AWS services including: \n\n • CloudFormation\n, • S3\n, • Athena\n, • Glue\n, • Glue DataBrew\n, • EMR / Spark\n, • RDS\n, • Aurora\n, • Redshift\n, • DynamoDB\n, • Lambda\n, • Step Functions\n, • IAM\n, • KMS\n, • Secrets Manager\n, • EventBridge\n, • EC2\n, • SQS\n, • SNS\n, • Lake Formation\n, • CloudWatch\n, • CloudTrail\n, • DataSync\n, • DMS\n\n \n Preferred Experience \n\n • Amazon Kinesis\n, • AWS Managed Airflow\n, • AWS Managed Kafka (MSK)\n, • Redshift RBAC\n, • AWS IAM security models\n, • Jenkins\n, • CloudBees\n, • Bitbucket\n, • Docker\n, • Maven\n, • Gradle\n, • MS Build\n, • SonarQube\n, • Artifactory\n, • Jira\n, • Confluence\n, • Groovy scripting\n, • API deployment automation\n\n

Company Profile: \n AppCard Inc. is a technology and marketing company headquartered in Manhattan, NY. Appcard has a powerful marketing tool that leverages data acquired at the point of sale (POS) via an advanced rewards program to create advanced retargeting campaigns that help businesses increase their bottom line. AppCard is unique in the loyalty space due to its patented technology which allows businesses to capture shopper identity and item level data in realtime from purchases made in store and online. The benefit of this is two fold: consumers benefit by receiving offers, incentives and coupons. Through a shopper’s interactions with the former AppCard’s platform records and learns shopper behavior and gives grocers the ability to make their data actionable to increase average basket size and systematically increase repeat purchases. \n \n About the role: \n We are seeking an experienced Senior Devops Engineer to design, build, and maintain our hybrid infrastructure, which spans both cloud and IOT environments. This role is hands-on and involves managing IoT devices at scale, developing tools for system deployment and monitoring, and leading modernization projects from design through production. You will collaborate with cross-functional teams to ensure the development of reliable, secure, and scalable systems, while mentoring teammates and driving best practices in infrastructure engineering. \n \n What you’ll do: \n\n • Own, design, build, and maintain infrastructure for part of our cloud-based and on-premise IOT environments, ensuring reliability, security, and scalability\n, • Develop and introduce tools to enhance the deployment, management, and monitoring of customer premise equipment, IoT devices and backend systems\n, • Manage system architecture and modernization projects, driving them from design through implementation to production operations\n, • Enhance observability and monitoring of infrastructure and IoT devices, developing both custom tooling and utilizing off the shelf offerings\n, • Implement secure connectivity solutions to ensure resilient and safe device-to-cloud communication\n, • Mentor and guide team members, sharing best practices in infrastructure, monitoring, and system design\n\n \n What you have: \n\n • 5+ years of experience in Infrastructure Engineering, SRE, or DevOps roles with strong Sys-Admin background in Linux systems\n, • Strong Linux systems and networking knowledge (docker, firewalls, load balancers, and VPNs)\n, • Solid background in monitoring, alerting, and troubleshooting large-scale distributed systems\n, • B.Sc. in Computer Science or equivalent\n, • Software development skills relating to building infrastructure (Python)\n, • Hands-on expertise with a variety of AWS services\n, • Proven ability to manage and secure hybrid (Cloud + On-Prem) infrastructure\n, • Familiarity with Infrastructure as Code (Terraform, Ansible, CDK etc.) for automation and system consistency\n, • Excellent communication skills in English; team-oriented and proactive mindset\n\n \n Preferred Qualifications: \n\n • Strong experience managing servers and/or IoT devices at scale\n, • Experience with AWS IoT offerings, such as GreenGrass v2\n, • Knowledge of best practices of secure infrastructure design\n\n \n This role is full-time from our NYC office \n Applicants must be authorized to work in the U.S. This position is not eligible for employer visa sponsorship."

Staff Platform Engineer \n Duration: 6-Month Contract (Temp to Hire) \n Location: Candidates must reside within a 60-mile radius of any Client office location listed below: Draper, UT | Columbus, OH | Plano, TX | Chadds Ford, PA | Wilmington, DE | NYC/Manhattan. (Hybrid Role: 1-2 Times A Week In Office) \n \n Certification Requirement \n Candidate must have at least one of the following certifications: \n\n • AWS Certified Cloud Practitioner\n, • Microsoft Azure Fundamentals\n, • Google Cloud Digital Leader\n\n \n \n Must-Have Qualifications \n\n • Bachelor’s degree in IT, Computer Science, CIS, Software Engineering, Mathematics, Statistics, or related field, or equivalent experience.\n, • 3–10 years of experience in Platform Engineering, Software Engineering, Cloud Engineering, DevOps, Automation Engineering, or related technical disciplines.\n, • Experience designing, implementing, and scaling enterprise platform capabilities, shared services, automation solutions, and developer productivity platforms.\n, • Experience leading large-scale technical initiatives and influencing engineering strategy across multiple teams.\n, • Strong expertise in cloud-native architectures, platform engineering, automation, DevOps, and modern software delivery practices.\n\n \n Key Skills \n\n • Enterprise Platform Engineering Strategy & Architecture\n, • Platform Products, Shared Services & Engineering Ecosystems\n, • Platform Governance, Standards & Reference Architectures\n, • Developer Experience (DevEx) & Self-Service Platforms\n, • Intelligent Automation & AIDLC Transformation\n, • AI-Powered Engineering & Agentic Systems\n, • AI Agents, Agent Orchestration & Autonomous Workflows\n, • Cloud-Native Architecture & Platform Modernization\n, • DevOps, CI/CD & Engineering Productivity Platforms\n, • SRE & Operational Excellence\n, • Monitoring, Observability & Platform Intelligence\n, • Security, Governance & Compliance\n, • LLM Workflows, Prompt Engineering & Context Engineering\n, • MCP, RAG, Enterprise AI Platforms & AI Integration\n, • Technical Strategy, Cross-Functional Leadership & Influence\n\n \n Preferred Qualifications \n\n • Experience leading enterprise platform transformations, cloud modernization programs, developer experience initiatives, or AI-enabled engineering programs.\n, • Experience defining technology strategy and influencing organization-wide engineering standards and roadmaps.\n, • Certifications in cloud platforms, DevOps, platform engineering, software development, automation, AI/ML, or data engineering.\n\n

Company Description Meridian brings context-aware AI agents to industries that have traditionally been overlooked in technology adoption such as supply chain, manufacturing, staffing and more. The company works closely with sector experts to automate operations, enhance decision-making, and unlock new efficiencies through applied AI. Meridian is backed by leading investors, including Sunflower Capital, Pear VC, SV Angel, and angels from Anthropic. Team members join a fast-moving environment where they can shape products from the ground up and see their work deployed directly in critical industry workflows. \n \n Role Description As a Forward Deployed Engineer at Meridian, you will work on-site with customers and internal teams in New York, NY to design, build, and deploy Agents. This full-time role involves translating complex real-world workflows into technical requirements, implementing back-end services and integrations, and iterating quickly based on user feedback. You will collaborate with customers to collect context, build agents and ensure robust, secure, and scalable deployments. Day-to-day responsibilities include talking to customers, writing production-quality code, managing data pipelines, debugging and optimizing systems in live environments, and documenting solutions for long-term maintainability. You will also contribute to best practices, help improve internal tooling, and support go-live and post-deployment operations. \n \n Qualifications \n\n • Strong foundation in Computer Science, including algorithms, data structures, and systems concepts.\n, • Hands-on experience with Software Development and Programming in Python.\n, • Proficiency in Back-End Development, including APIs, databases, and distributed services.\n, • Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.\n, • Experience deploying and supporting software in production environments, ideally with cloud platforms (e.g., AWS, GCP, or Azure).\n, • Comfort working directly with non-technical stakeholders, understanding their needs, and translating them into technical solutions.\n, • Strong problem-solving skills, curiosity about applied AI, and willingness to work on-site with customers in New York, NY.\n, • Familiarity with data pipelines, ML/AI systems, or analytics tools is a plus.\n, • Ability to thrive in a fast-paced, collaborative startup environment and handle responsibility for end-to-end project delivery.\n

Client Overview A forward-thinking technology organization focused on delivering seamless digital experiences is seeking a Digital Experience Engineer to join its team. The company prioritizes innovation and operational excellence to support a diverse user base and is known for fostering a collaborative and growth-oriented work environment.\n \n Salary/Hourly Rate $38/hr\n \n Position Overview The Digital Experience Engineer will provide advanced technical support and endpoint management to ensure a reliable, secure, and user-friendly environment. This role involves troubleshooting complex issues, managing device configurations, and collaborating with IT teams to implement scalable solutions. The position requires strong problem-solving skills and a customer-focused approach to support national staff users effectively.\n \n Responsibilities Of The Digital Experience Engineer \n\n • Serve as the first line of response for technical end-user support for all national staff users.\n, • Investigate and resolve complex endpoint issues escalated by the Service Desk, providing immediate break-fix remedies and addressing root causes.\n, • Manage and troubleshoot on-premise and remote end-user requests in an Active Directory and hybrid Exchange/Office 365 environment.\n, • Create positive customer support experiences by communicating progress and resolving or escalating issues professionally and timely.\n, • Support device configuration, enrollment, compliance, patching, and application deployments through endpoint management platforms.\n, • Write or improve PowerShell scripts and other automation for endpoint administration and remediation.\n, • Travel as required to provide technical support to outside offices and at meetings and conferences. \nRequired Experience/Skills For The Digital Experience Engineer \n\n • Advanced knowledge of supporting and troubleshooting Windows 11 and macOS in an enterprise environment.\n, • Experience with endpoint or device-management technologies such as Microsoft Intune, Jamf, NinjaOne, SCCM/MECM, or similar platforms.\n, • Working knowledge of Microsoft Entra ID, Active Directory, Microsoft 365, and modern identity concepts.\n, • Experience troubleshooting hardware, operating systems, applications, authentication, and endpoint connectivity issues.\n, • Familiarity with PowerShell or another scripting/automation language.\n, • Understanding of endpoint security concepts including patching, encryption, EDR, device compliance, and vulnerability remediation.\n, • Strong troubleshooting and root-cause analysis skills with the ability to recognize patterns across recurring technical issues.\n, • Ability to document technical processes clearly and collaborate effectively with Service Desk, Engineering, Security, and other IT teams. \nPreferred Experience/Skills For The Digital Experience Engineer \n\n • 5 to 7 years of experience in a large enterprise or corporate environment.\n, • Experience packaging and deploying enterprise applications.\n, • Experience developing PowerShell automation or endpoint remediation scripts.\n, • Familiarity with ITIL or IT service-management practices.\n, • Experience with ITSM, MDM, and RMM platforms such as ServiceNow, Zendesk, NinjaOne, Intune, or comparable technologies. \nEducation Requirements \n\n • Bachelor’s degree in Information Technology, Computer Science, or a related field.\n, • Equivalent work experience will be considered. \nBenefits \n\n • Atrium Care Package available, upon eligibility (including healthcare plans, discount programs, and paid time off). \n

Hybrid 4 in New York, NY \n \n Our client is seeking a senior full-stack developer at the SVP level to design and build core equities engineering services that power real-time trading workflows. The role focuses on backend Java, Spring Boot, distributed systems, and messaging with Kafka or MQ to drive scalability, latency, and resiliency. You will modernize legacy components into cloud-native microservices, integrate AI-assisted development practices, and mentor developers while delivering mission-critical enhancements and support. \n \n Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. \n \n Rate: $95.00 to $105.00/hr. w2 \n JN -052026-106972 \n \n Responsibilities \n\n • Design and build trading and messaging channels interfacing with venues and exchanges using industry-standard protocols.\n, • Operate mission-critical systems and deliver day-to-day enhancements across front office and operations.\n, • Design and develop core Java components leveraging messaging systems such as Kafka and MQ.\n, • Coordinate and execute internal system testing procedures.\n, • Collaborate across platform teams within a platform operating model.\n, • Deliver and maintain applications within the equities domain with a focus on reliability and performance.\n, • Provide second-level production support and troubleshoot issues under pressure.\n, • Mentor junior developers and contribute to engineering best practices.\n, • Re-engineer and modernize the platform toward scalable microservices and cloud-based architectures.\n, • Drive migration and consolidation efforts for order management systems.\n\n \n Experience Requirements \n\n • 10+ years of software development with strong proficiency in Java, SQL, and Git.\n, • 10+ years in business analysis and trading systems analysis or administration.\n, • Strong experience with messaging and data protocols including Kafka and MQ; familiarity with FIX and FpML.\n, • Proficiency with Spring, Spring Boot, and Spring Integration.\n, • Proficiency in data standards and data modeling.\n, • Comfort with cloud environments and DevOps practices including build, deploy, debug, and pipelines.\n, • Familiarity with Windows and Linux environments.\n, • Knowledge of equity products and instruments.\n, • Familiarity with AI coding-assist tools such as GitHub Copilot, Cursor, Windsurf, or Claude Code.\n, • Experience operating distributed, real-time systems with a focus on scalability, latency, performance, and availability.\n, • Production support experience with strong troubleshooting and debugging skills.\n, • Experience with application profiling and performance tuning.\n, • Experience with order management systems and smart order routing (preferred).\n, • Experience managing trade data feeds and downstream integrations (preferred).\n, • Understanding of equities trade life cycles (preferred).\n, • Understanding of the regulatory landscape from a developer perspective (preferred).\n, • Familiarity with Angular and Python (preferred).\n, • Experience with in-memory caching such as Hazelcast, Redis, or GemFire (preferred).\n, • Experience with monitoring and observability tools such as Splunk (preferred).\n, • Cloud architecture and scalability design experience (preferred).\n, • Hands-on FIX protocol experience (preferred).\n, • Strong communication and organization skills.\n\n \n Education Requirements \n\n • Bachelor’s degree in computer science or a related discipline, or equivalent work experience. Advanced degree preferred.\n

Job DescriptionAbout the Company Our client is an early-stage, venture-backed startup operating a fast-growing creator marketplace that connects brands with a large network of content creators. With strong early traction – significant marketplace volume and a creator base in the hundreds of thousands – they’re building an AI-native platform and distribution engine, and we’re helping them grow their engineering team. Recently founded · ~25 people · Industry: Creator Economy, Marketplace, Consumer / B2B The Role We’re hiring a back-end-focused Software Engineer to design, build, and maintain the systems that power the marketplace. You’ll own meaningful back-end surface area on a small, fast-moving team, contribute across the full development lifecycle, and play a central role in an upcoming database migration. What you’ll be doing • Design, build, and maintain robust back-end systems, • Ship scalable solutions for a high-volume marketplace platform, • Work across the full development lifecycle – programming, debugging, and iterating quickly, • Partner cross-functionally to integrate new solutions Tech stack: Postgres, TypeScript, with heavy AI-assisted development Requirements • Roughly 0–2 years of experience focused on back-end software engineering, • A track record of building – through work, school, or substantial side projects – with clear signals of engineering depth and curiosity, • Experience at a high-growth startup, big tech, or a marketplace company; alternatively, side projects that demonstrate real engineering depth, • Comfortable using modern AI development tools as a core part of your workflow, • Hands-on proficiency with Postgres, • A Bachelor’s degree in Computer Science or a related field from a strong program, • Located in and able to work on-site in the NYC metro area five days a weekNice to Haves, • Prior experience as a founder or founding engineer, with the ability to reflect candidly on what you learnedWhy Join, • Real ownership of core back-end systems on a small, fast-moving team, • A clear path to grow, including toward leadership, • A modern, AI-native engineering culture, • Join at an early stage with strong, demonstrated tractionDetails, • Location: New York, NY, • Work policy: On-site, 5 days/week, • Compensation: $130,000–$200,000 + equity, • Visa sponsorship: Not available; US citizens / Green Card holders. TN transfers considered, • Employment type: Full-time

Job DescriptionFounding Forward Deployed Engineer Location: Tribeca, New York City Employment Type: Full-time Work Arrangement: On-site, 5 days per week Salary: $180,000–$250,000 base Equity: Competitive equity Visa: Open to eligible visa transfers, including H-1B and OPT Relocation: Up to $10,000 for candidates relocating from outside New York About the Opportunity A well-capitalized, post-revenue enterprise AI company is hiring a Founding Forward Deployed Engineer to lead the technical deployment of its platform within complex customer environments. The company is building an AI-powered revenue execution platform that helps enterprise teams identify which customers to prioritize, understand why, and determine what actions to take next. Its technology combines large language models with structured customer data to automate account scoring, customer segmentation, and revenue-expansion workflows. Already working with Fortune 500 customers and generating meaningful revenue, the company is scaling with a lean, highly technical founding team. This hire will own one of the most important paths in the business: turning messy customer data and institutional knowledge into reliable, production-ready AI workflows. What You'll Do Own enterprise customer deployments from initial data access through production launch and measurable value delivery. Explore undocumented data warehouses and map complex or legacy schemas to business concepts such as churn, retention, expansion, and annual recurring revenue. Interview customer stakeholders to understand business logic, reconcile conflicting definitions, and translate institutional knowledge into validated SQL queries. Build and validate the semantic and ontology layers that power customer-facing AI agents. Develop, deploy, and maintain production data pipelines and agent workflows within customer environments. Independently write code, diagnose technical issues, and deploy systems without extensive oversight. Monitor deployed workflows, validate their outputs, and ensure they produce measurable customer outcomes. Manage two to three customer engagements simultaneously while collaborating directly with customer data, engineering, and business teams. Use and help improve internal agent tooling, evaluation frameworks, validation processes, and guardrails. Balance customer communication with highly detailed technical execution; approximately 70–80% of the role involves hands-on data exploration, transformation, and verification. What We're Looking For Approximately 2–5 years of experience as a Forward Deployed Engineer, Customer Engineer, Solutions Engineer, customer-facing Software Engineer, or in a closely related technical role. Experience owning end-to-end technical customer deployments involving data access, schema mapping, stakeholder management, production delivery, and value validation. Deep SQL and data-warehouse fluency, including the ability to navigate messy, legacy, or undocumented schemas independently. Experience with dbt, data pipelines, data warehouses, or comparable production data systems. Strong hands-on programming skills, ideally in Python, with experience independently building, debugging, and deploying production systems. An AI-native working style, including regular use of tools such as Claude or Cursor. Experience building or customizing agent-driven workflows, not simply using off-the-shelf AI tools. Applied data-science literacy, including familiarity with distributions, seasonality, validation design, and distinguishing meaningful findings from noise. Ability to translate ambiguous business requirements into reliable technical systems and validated data models. Strong customer-facing communication skills, including the ability to defend technical decisions under pressure and change direction when presented with better evidence. High tolerance for detail-oriented and repetitive data-verification work. A bachelor's degree in computer science, data science, statistics, or another quantitative STEM discipline. A strong academic pedigree or experience at a recognizable technology, data, consulting, or financial-services organization; candidates should have at least one of these indicators. Willingness to work on-site in New York City five days per week. Strong Candidate Backgrounds You may be especially well suited for this role if you have worked as: A Forward Deployed Engineer, Customer Engineer, or Solutions Engineer at a leading data or AI company. An Analytics Engineer or Data Scientist who transitioned into customer-facing implementation and delivery. A technical consultant with a genuine computer science foundation and hands-on engineering experience. An early-stage startup engineer who independently owned customer deployments and production systems. What Will Help You Stand Out Experience working at an early-stage startup, ideally from Seed through Series B. Experience deploying LLM-powered products or AI agents in production. Experience building evaluation frameworks, validation systems, semantic data layers, or signal-processing systems. Founder or founding-engineer experience. A track record of succeeding in ambiguous, fast-moving environments without extensive direction. Genuine enthusiasm for detailed data investigation, testing, and verification. Why Join Join a lean founding team tackling a multibillion-dollar gap in enterprise software. Help shape a platform already serving major enterprise customers. Own a critical, high-impact function rather than inheriting a narrow piece of an established system. Work directly with company leadership, engineering, and customers. Receive an aggressive compensation package with competitive equity. Comprehensive medical, dental, and vision coverage for employees and their families. Parental leave, a monthly wellness stipend, daily lunches and snacks, and a flexible vacation policy. Up to $10,000 in relocation support for candidates moving from outside New York. Client Interview Process Culture and experience interview Technical interview Half-day on-site working simulation based on a realistic customer deployment scenario

Job Description CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com. What You'll Do: The Data Engineering Team builds and operates the foundational data infrastructure powering analytics, AI, and operational decision-making across CoreWeave. We design resilient data pipelines, scalable lakehouse systems, and high-quality datasets that enable teams across Finance, HR, Operations, and Engineering to move faster and make smarter decisions. Our mission is to make CoreWeave's data reliable, accessible, and actionable at scale. About the role: We're seeking a Senior Data Engineer to design and build the foundational datasets that power analytics, business intelligence, and AI across CoreWeave. You will own the development of dimensional data models, enterprise metrics, and curated data products that enable analysts, data scientists, and business stakeholders to answer complex questions with confidence. Day-to-day, you'll partner closely with business domains and analytics teams to translate operational processes into scalable data models while ensuring performance, quality, and consistency across the data ecosystem. This role combines deep data modeling expertise with strong software engineering skills across our modern lakehouse platform. Who You Are: • Bachelor's degree in Computer Science, Information Systems, or a related field (or equivalent experience), • 5+ years of experience designing and building analytical data models in enterprise data warehouse or lakehouse environments., • Expertise in at least one programming language such as Python, Scala, or Rust, with experience building production-grade data systems., • Advanced SQL skills with demonstrated experience developing, optimizing, and troubleshooting complex analytical workloads., • Hands-on experience building and operating distributed data processing systems using Spark, Flink, or similar technologies., • Experience working with modern lakehouse architectures and analytical technologies such as Iceberg, Delta, StarRocks, Clickhouse, or Trino., • Deep expertise applying dimensional modeling techniques to scaled OLAP workloads., • Strong experience building curated datasets, semantic models, and enterprise metrics that support business intelligence, advanced analytics, and AI use cases.Preferred:, • Experience operating event-driven architectures using Kafka, AutoMQ, Pulsar, or similar streaming platforms, • Experience operating data-intensive workloads on Kubernetes, • Experience in high-growth technology or infrastructure-focused organizations Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. • You love building data products with the same rigor applied to production software, • You're curious about emerging technologies in streaming, lakehouse, and AI-powered analytics, • You're an expert at designing scalable systems for processing and serving dataWhy CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences, • Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $182,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment, • A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description Tired of the inefficiencies and complexities of traditional finance? We are too. At Superstate, we create investment products that benefit from the speed, programmability, and compliance advantages of blockchain tokenization. As a Staff DevOps Engineer at Superstate, you'll be responsible for building and maintaining highly reliable, scalable infrastructure that powers our financial products. You'll architect robust systems that ensure our platforms deliver exceptional performance, availability, and security at scale. You’ll be wearing many hats across general devops, security, observability, and reliability and help lead these initiatives. What you'll do • Design and implement scalable, fault-tolerant infrastructure for our web applications and blockchain systems, • Build and maintain CI/CD pipelines, deployment automation, and infrastructure as code, • Develop comprehensive monitoring, alerting, and observability systems to ensure system reliabilityLead incident response efforts and conduct post-incident reviews to improve system resilience, • Implement security best practices across all infrastructure and deployment processes, • Collaborate with engineering teams to optimize application performance and reliability, • Establish SLIs, SLOs, and error budgets to measure and improve service reliability, • Automate operational tasks and reduce manual toil through tooling and process improvements, • Manage capacity planning and cost optimization for cloud resourcesWhat you'll bring to the team, • Bachelor's degree in Computer Science, Engineering, or related technical field, • 8+ years of professional software engineering or infrastructure experience, • Extensive experience with AWS cloud services and infrastructure management, • Extensive experience with infrastructure as code (Terraform, Pulumi), • Strong background in systems engineering, networking, and distributed systems, • Expertise in containerization and orchestration (ECS, EKS)Proficiency in languages (Java, Go, Rust, or similar) for automation and tooling, • Deep understanding of security principles and secure infrastructure practices, • Experience with high-availability systems and disaster recovery planning, • Exceptional problem-solving skills with a reliability and security focused mindsetBonus points if you have experience with these technologies, • Microservices architecture and service decomposition strategies, • Observability tools (Prometheus, Grafana, Sentry, etc.), • Database administration and optimization (PostgreSQL, Redis, AWS RDS), • AWS security services (GuardDuty, Security Hub, WAF, Shield, Config), • Cloudflare optimization and security configurations, • Github Actions workflows and deployment strategies, • Compliance automation for financial services (SOC2, ISO, PCI DSS), • Chaos engineering/resilience testing and reliability best practicesBenefits & Perks, • Competitive compensation, • Equity ownership, • Flexible vacation policy, • Paid parental leave, • Full medical, dental, and vision insurance, • Professional development and security certification budget We are an equal opportunity employer and value diversity at our company. We welcome qualified candidates of all races, creeds, genders, age, veteran status and sexuality to apply. Founded in 2023, Superstate is backed by leading investors including Distributed Global, CoinFund, Breyer Capital, Galaxy, ParaFi, 1kx, and Cumberland. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Belvedere Trading is a leading proprietary trading firm with offices in Chicago, New York, Boulder, and Singapore. Our traders work hard to provide liquidity to the market through their market-making activities and are the masters of a diverse set of commodities, interest rates, exchange-traded funds (ETF), and equity index options. From the beginning, we began iteratively investing in our proprietary technology and committing to building our systems from the ground up. Our trading models and software systems are continually re-engineered, optimized, and maintained to stay on top of the industry. We operate best within a team environment where we challenge each other to deliver value consistently and share in the success of the company. We’re looking for a Senior Trading Software Engineer to help push the boundaries of our trading platform. You’ll work side-by-side with traders and quantitative researchers to design and evolve the infrastructure behind our automated options trading systems. Our core platform is built in Java, but we’re expanding into modern C++ to drive our strategies into new markets. This role will have a hand in everything from trading logic to system performance to FPGA integrations. We operate every day with rigorous code reviews, automated testing, and scalable best practices. If you love optimizing every microsecond, solving real-time problems, and building scalable, battle-tested systems, this role will keep you challenged and engaged every day. What you'll do • Solve low-latency trading problems and optimize performance-critical code., • Collaborate with fellow trading engineers to improve system performance and scalability., • Contribute across the tech stack: application development, network optimization, and platform tuning., • Partner with hardware and networking teams to drive low-latency performance gains., • Leverage data to drive decision-making and uncover optimization opportunities., • Design and implement performance-critical, low-latency solutions for real-time trading., • Continuously enhance our performance architecture to support evolving strategies., • Build new platform features and refine existing systems to meet the demands of high-speed trading.What you'll need, • Proven experience in full-cycle software development in trading or other high-performance domains, • 5+ years of professional experience in modern C++; Java experience is a plus, • Strong grasp of network programming (e.g., raw sockets, latency tuning, packet handling), • Demonstrated ability to debug, profile, and optimize complex systems, • A self-directed approach with the ability to identify and solve system issues without handholding, • Experience in fast-paced environments where reliability and performance are paramount, • A proactive mindset that anticipates risk, foresees performance bottlenecks, and proposes forward-thinking solutions, • A Bachelor's or Master’s degree in Computer Science, Engineering, or a related technical fieldAdditionally, certain positions at Belvedere Trading are eligible for discretionary bonuses. Our employees have access to a variety of benefits, which can be found on our website here.Work Schedule Belvedere Trading is supportive of a Hybrid work schedule requiring two days a week in either the Chicago, Boulder, New York, or Singapore offices during normal business hours. Women and underrepresented groups frequently apply to jobs only if they meet 100% of the qualifications.We encourage you to break that mold and apply. No candidate is perfect; all have a lot to offer. We welcome your application. Core Values The secret to our award-winning culture is our Core Values: Team Belvedere, Me In Team, Own It, Iterative Innovation, and Passionate Discourse. We live and breathe these values every day. Our Stance Belvedere is an Equal Opportunity Employer and is committed to providing a non-discriminatory employment environment for its employees. Discrimination against employees and applicants due to race, color, religion, sex, national origin, disability, age, military, and veteran status is prohibited. Belvedere encourages initiatives to increase diversity and provide equal opportunity to all applicants and employees. Belvedere is committed to providing a positive environment in which team members are treated with respect, dignity, and courtesy. Our firm believes in a dynamic culture of inclusion and diversity, where people thrive on individual and organizational characteristics, values, experiences, and backgrounds. Please note that Belvedere Trading does not accept unsolicited resumes from search firms or employment agencies. Any unsolicited resumes will become the property of Team Belvedere. No phone calls, please. Any questions regarding the virtual recruiting process, please reach out to recruiting@belvederetrading.com. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Position Overview: Our client is - seeking a highly skilled and experienced Sr/Staff Software Engineer to join our dynamic team. The ideal candidate will have a strong background in software development, with a focus on creating innovative and efficient solutions. They will be responsible for designing, developing, and maintaining software applications, as well as providing technical leadership and mentorship to junior engineers. Key Responsibilities: • Design and develop software applications that meet business requirements and adhere to coding standards, • Collaborate with cross-functional teams to gather and analyze user requirements, • Write clean, efficient, and well-documented code, • Troubleshoot and debug software issues, and provide timely resolutions, • Conduct code reviews and provide constructive feedback to junior engineers, • Mentor and guide junior engineers, promoting best practices and continuous learning, • Keep up-to-date with industry trends and advancements, and incorporate them into our development processes, • Participate in the planning and estimation of project timelines and deliverables, • Communicate effectively with team members, stakeholders, and clients to ensure project success Qualifications: • Bachelor's or Master's degree in Computer Science, Engineering, or a related field, • 4+ years of experience in software development, with a focus on web-based applications, • Strong proficiency in programming languages such as Java, C#, or Python, • Experience with front-end technologies such as HTML, CSS, and JavaScript, • Experience with databases and SQL, • Knowledge of software development methodologies and best practices, • Experience with Agile/Scrum methodology is a plus, • Excellent problem-solving and analytical skills, • Strong communication and teamwork abilities, • Ability to work independently and manage multiple tasks effectively, • Passion for learning and staying updated with industry advancements