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Job DescriptionDescriptionOverview The IT Infrastructure & Operations Network Engineering department is responsible for the architecture, planning, implementation, installation and operations of NYPL's network infrastructure. NYPL covers three boroughs with 90+ branch locations, 12K+ endpoints, public/private cloud, and public/staff WiFi serving millions of New Yorkers every year. The Library’s network is highly redundant to ensure essential services are available with maximum uptime. We are looking for someone we can count on to: Own: • Engineering level administration of NYPL’ network including routing, firewalls, ACLs, VLAN designs, VPN and of NYPL’s Public and Staff WiFi networks, • Reviewing initial business requirements and work alongside colleagues to provide initial technical designs, • Providing installation and engineering level support of NYPL network equipment and services, • Liaising with business partners on projects as necessaryTeach:, • And support Network Engineers on the team, • Other IT departments to ensure understanding of network considerations, • Colleagues across the business to ensure clear expectations are setLearn:, • The Library’s unique place in providing network access as a means to accomplish its mission and bridge the digital divideAdvanced networking administration and implementation methodologies, • And explore Zero-Trust network security models and help NYPL prepare for the future, • E-rate funding guidelinesImprove:, • Monitoring and operation efficiency of the networking stack, • Be familiar with IT practices and teams, roles & responsibilities, • Build initial relationships with key vendors and services providers, • Build initial relationships with internal stakeholders, • Understand NYPL’s network topology (WAN, LAN, WiFi), • Be familiar with current project backlog, • Coordinate with team leadership to prioritize work, • Have clear expectations and goals moving forward3 months, this person will:, • Plan for future bandwidth upgrades Branch locations, • Able to field change and support requests for most of the network, • Support key projects with minimal supervision6 months and beyond, this person will:, • Own WAN, VPN, and core routing administration, day-to-day management and operations, • Begin preparing for network equipment upgrades, • Participate in roadmap developmentResponsibilities, • Architect, deploy, monitor and maintain the NYPL data network environment which consists largely of Cisco routers, switches and firewalls, as well as Extreme, & Cisco wireless network equipment, • Install, configure and maintain network firewalls (Cisco. Fortinet), • Design and implement appropriate network level security controls at the Internet, datacenter, WiFi, and departmental LAN layers of the network (VLANS design, ACLs), • Install and maintain data circuits between core locations, including dark and lit fiber at multigigabit speeds, • Prepare bid specifications for network routers, switches and security appliances, network monitoring systems, and core circuit connections, and participate in the evaluation of bids, • Plan future growth and integrate new technologies into the NYPL network, • 5+ years administering networks for a widely distributed organization, • Experience designing and implementing networks, • Experience collaborating across IT support groups and business units Required Skills, • Deep hands-on experience with Cisco IOS features and LAN/WAN switching & routing technologies, including BGP, OSPF, EIGRP & Spanning Tree protocols, VPN, port/etherchannel, VLAN design, and ACLs, • Excellent knowledge of Cisco network security practices and competent in configuring and supporting network firewalls (Cisco, Palo Alto), • Familiarity with WAN circuits (Dark fiber. Megaport, MPLS, Point to Point Ethernet, virtual), including hardware provisioning and troubleshooting, • Ability to provision and support a cloud managed WiFi system, Cisco Meraki, ExtremeCloud, etc., • Strong knowledge of networking in cloud environments (AWS, Azure, GCP, VMWare), • Be Helpful to patrons and colleagues, • Be Resourceful in solving problems, • Be Curious in all aspects of your work, • Be Welcoming and InclusiveWork Environment, • Office setting, • Travel to NYPL sites as neededPhysical Duties Union/Non Union Non-Union FLSA Status Exempt Schedule • 9:00 AM - 5:00 PM, Monday - Friday, • Available on-call after hours and weekends The New York Public Library Salary Statement At the Library, we believe that pay transparency and pay equity are important to ensuring we source the best candidates and keep the best employees. When making a determination as to the appropriate salary for a candidate, we consider a variety of factors such, including, but not limited to, the position requirements, the skills, prior experience, and educational background required or preferred for the job, the scope and impact of the role within the organization, internal peer equity, and the candidate's specific training, experience, education level, and skills. No single factor is conclusive; the Library reserves the right to consider any and all relevant factors and make a decision consistent with its policies. Union Salaries are determined by collective bargaining agreement(s).

Job DescriptionAbout Clockwork Systems Clockwork.io – Software Driven Fabrics to increase GPU cluster utilization Clockwork Systems was founded by Stanford researchers and veteran systems engineers who share a vision for redefining the foundations of distributed computing. As AI workloads grow increasingly complex, traditional infrastructure struggles to meet the demands of performance, reliability, and precise coordination. Clockwork is pioneering a software-driven approach to AI fabrics by delivering cross-stack observability to catch and quickly resolve problems, workload fault tolerance to keep jobs running through failures, and performance acceleration that dynamically routes and paces traffic to avoid congestion. To learn more, visit . About Role Clockwork is seeking a sales-savvy individual with extensive technical expertise in AI networking to fill our Senior Solutions Engineer position. Do you thrive in a fast-paced, dynamic environment? Utilize your networking expertise, systems engineering background, and consultative skills to partner with our sales team throughout the entire customer journey—from understanding requirements and delivering compelling technical presentations and demos to conducting proof-of-concept (PoC) evaluations and overseeing complex software deployments. What you will do • Collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements., • Lead proof of concept evaluations to showcase the value of Clockwork's solutions within customer environments., • Provide technical leadership during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise., • Work closely with Clockwork's sales team to complete PoC evaluations and close deals., • Collaborate with product and engineering teams, and identify opportunities for product enhancement., • Offer valuable insights on product features, functionality, and performance, contributing to discussions about product strategy and architecture., • Stay abreast of the latest developments and trends in AI networking, Kubernetes, and cloud computing, sharing your thought leadership with customers and internal stakeholders., • 5+ years in a solutions architect or engineering role, preferably within cloud or AI infrastructure domains., • Previous pre-sales experience, including POCs, with client stakeholders, including senior technical staff and management., • Hands-on experience with cloud platforms (AWS, GCP, Azure, OCI)., • Strong understanding of Kubernetes and container orchestration., • Familiarity with GPU infrastructure and related technologies., • Extensive knowledge of networking protocols., • Excellent communication and relationship-building abilities, with a customer-centric mindset., • Demonstrated ability to troubleshoot complex technical issues and provide effective solutions., • A degree in computer science, electrical engineering or related field., • Proficiency with Python, SQL, and Linux (Golang, C, C++, and Java are a plus).Enjoy, • Challenging projects., • Competitive compensation., • A great benefits package., • A friendly and inclusive workplace culture., • Catered lunches.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Cloud Computing Expert Type: Contract Compensation: $55–$75/hour Location: Remote Role Responsibilities • Build a realistic digital workspace centered on the Drive folders you use daily. Include architecture docs, runbooks, RFCs, incident post-mortems, capacity plans, cost reports, SRE review decks, and email threads. Represent platforms like HashiCorp Terraform, Datadog/Splunk, GitHub Actions, and Okta., • Design multi-step tasks grounded in your real workflows. Require navigation of multiple apps, files, and stakeholders to challenge frontier AI agents., • Collaborate with other cloud-computing experts to design environments, shape task scope, and review scenarios for realism and rigor., • Work asynchronously with research teams to refine task designs and evaluation criteria for cloud-computing agent benchmarks. Must-Have • 3+ years of full-time experience at a major hyperscaler (AWS, Azure, GCP, Oracle Cloud), a cloud-data platform (Snowflake, Databricks), or a Fortune 500 platform/infrastructure team., • Background in cloud architecture, site reliability engineering, platform engineering, DevOps/DevSecOps, or cloud FinOps., • Day-to-day use of HashiCorp Terraform/Pulumi, Splunk/Datadog, GitHub Actions/CircleCI, and Okta/Microsoft Entra ID., • Upload resume, • AI interview based on your resume

Job Description Capnexus is a comprehensive services provider. Our team consists of outstanding professionals, highly experienced in designing, building, and supporting retail software. We see ourselves as a build-as-a-service provider who follows a repeatable business pattern that can be applied to a variety of platforms and verticals. Having a culture built on outcomes and delivery at the core of the business, Capnexus is providing its customers with a complete suite of services for software development, system analysis, integration, implementation, and support, as well as the option to engage a single team to perform all the services they require. Who You Are and What You'll Do: Capnexus is looking for a highly skilled Senior AWS Data Engineer to lead data architecture, pipeline development, and ERP integration for a 12-week AI-powered modernization engagement in the construction industry. This role is focused on designing and implementing the data engineering backbone of an intelligent subcontractor pre-qualification platform, including CMIC ERP API integration, Amazon Textract data extraction pipelines, ETL development using AWS Glue, and data quality validation. This is an exciting opportunity to apply advanced cloud data engineering skills on a platform that leverages generative AI to automate and modernize enterprise workflows. Responsibilities: • Lead data architecture design, API assessment, and ETL requirements gathering during the Discovery & Design phase., • Develop and configure CMIC ERP API integration to establish reliable data exchange between the ERP system and the AWS platform., • Design and implement data pipelines using AWS Glue for ETL processing of subcontractor documents and ERP data., • Integrate Amazon Textract to extract structured data from insurance certificates, bonding letters, and financial documents., • Build and maintain data models to support AI-powered validation, risk profiling, and executive reporting., • Configure Amazon S3 data lake architecture to store and manage raw, processed, and curated data assets., • Implement AWS Lambda and AWS Step Functions to orchestrate data workflows and automated processing pipelines., • Develop and expose data through Amazon API Gateway to support application and dashboard consumption., • Ensure data quality, validation, and integrity across all integration points and pipeline outputs., • Conduct data integration testing and support user acceptance testing (UAT) for data-dependent features., • Collaborate with Full Stack, AI/ML, and DevOps team members to ensure seamless end-to-end data flows., • Contribute to knowledge transfer documentation, data pipeline runbooks, and operations guides. Qualifications: • 5+ years of data engineering experience, with at least 2+ years working in AWS cloud environments., • Strong proficiency in SQL and experience with AWS database services including RDS, DynamoDB, and Aurora., • Hands-on experience with AWS Glue for ETL development and data pipeline orchestration., • Experience integrating with ERP systems or enterprise APIs, with ability to assess and document API capabilities., • Working knowledge of Amazon Textract for automated document data extraction., • Proficiency with Amazon S3 for data lake design, storage management, and lifecycle policies., • Experience with AWS Lambda and AWS Step Functions for serverless data workflow orchestration., • Solid understanding of data modeling, data quality validation, and integration testing practices., • Familiarity with Amazon API Gateway for exposing data services to downstream consumers., • Strong analytical, problem-solving, and communication skills with the ability to work in Agile/Scrum teams. Nice to Have: • Experience with Amazon Bedrock or AI/ML-integrated data pipelines., • Familiarity with CMIC ERP or similar construction industry enterprise resource planning systems., • Experience with GraphQL APIs or AWS AppSync., • Knowledge of TypeScript or Python for pipeline scripting and Lambda function development., • AWS Certification (Data Analytics Specialty, Database Specialty, or Solutions Architect)., • Background in construction, insurance, or financial services industries. "Our Culture": At Capstone, the central principles that we all adhere to, and the glue that holds us together, are our keystones. Our four keystones are: "A Customer Obsessed, Delivery Focused, Culture" • We're driven to exceed our customers' expectations by listening, leading, solving problems, and delivering what we promise, • We value "Lifetime Learners"; those who are hungry, competitive, curious, and self-motivated in their pursuit of knowledge., • Personal and professional growth depends on teamwork and continuous learning. By sharing knowledge, skills, ideas, and effort, we benefit our customers, ourselves, and our communities., • We recognize that the thoughts, feelings, and backgrounds of others are as important as our own. Everyone has something to learn and everyone has something they can teach., • Growth comes from not establishing barriers in your role. "Cross functional skill sets are valued and help us deliver to our customers in a truly agile fashion. It comes with understanding that when asked to do something new, you will need support, have questions, and make some mistakes along the way., • The most elegant solution is a simple solution. Simple doesn't mean easy. It's often more difficult to break a complex problem down into simple, scalable terms. We don't appreciate, or value, over architected solutions or superfluous coding., • No matter how small a project or assignment appears, every single engagement is an opportunity for us to prove ourselves, build trust, and develop relationships that last and grow, • Every task, interaction, and commitment matters, • Big or small, we execute our plans and strategies with focus, commitment, and passion We offer: Job Type: Full-time, 1099 Duration: Short-term Benefits: • Remote work Capnexus is an equal opportunity employer. We embrace and celebrate diversity and are committed to creating an inclusive and safe environment for all employees. Experience comes in many forms, and we're dedicated to adding new perspectives to the team. We encourage you to apply even if your experience doesn't perfectly align with what we have listed. We look forward to hearing from you. No Agencies Please!

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Cloud Computing Expert Type: Contract Compensation: $55–$75/hour Location: Remote Role Responsibilities • Build a realistic digital workspace centered on the Drive folders you use daily. Include architecture docs, runbooks, RFCs, incident post-mortems, capacity plans, cost reports, SRE review decks, and email threads. Represent platforms like HashiCorp Terraform, Datadog/Splunk, GitHub Actions, and Okta., • Design multi-step tasks grounded in your real workflows. Require navigation of multiple apps, files, and stakeholders to challenge frontier AI agents., • Collaborate with other cloud-computing experts to design environments, shape task scope, and review scenarios for realism and rigor., • Work asynchronously with research teams to refine task designs and evaluation criteria for cloud-computing agent benchmarks. Must-Have • 3+ years of full-time experience at a major hyperscaler (AWS, Azure, GCP, Oracle Cloud), a cloud-data platform (Snowflake, Databricks), or a Fortune 500 platform/infrastructure team., • Background in cloud architecture, site reliability engineering, platform engineering, DevOps/DevSecOps, or cloud FinOps., • Day-to-day use of HashiCorp Terraform/Pulumi, Splunk/Datadog, GitHub Actions/CircleCI, and Okta/Microsoft Entra ID., • Upload resume, • AI interview based on your resume #hiringmercor

Job Description Overview /Objective: We are seeking a seasoned Data Engineer to join our Sports Analytics & Engineering Practice. This role is pivotal in shaping and implementing our client's vision for a cutting-edge, cloud-native data ecosystem. You will architect and build scalable data infrastructure that transforms raw data into high-value assets, powering analytics across digital products, fan engagement, and marketing domains. Your work will directly contribute to the development of a world-class customer data platform. Responsibilities: • Design and build robust, scalable data transformation pipelines using SQL, DBT, and Jinja templating, • Develop and maintain data architecture and standards for Data Integration and Data Warehousing projects using DBT and Amazon Redshift, • Collaborate with cross-functional teams to gather requirements and deliver dimensional data models that serve as a single source of truth, • Own the full stack of data modeling in DBT to empower analysts, data scientists, and BI engineers, • Enhance and maintain the analytics codebase, including DBT models, SQL scripts, and ERD documentation, • Ensure data quality, governance alignment, and operational readiness of data pipelines, • Apply software engineering best practices such as version control, CI/CD, and code reviews, • Optimize SQL queries for performance, scalability, and maintainability across large datasets, • Implement best practices for SQL performance tuning, including partitioning, clustering, and materialized views, • Build and manage infrastructure as code using AWS CDK for scalable and repeatable deployments. Integrate and automate deployment workflows using AWS CodeCommit, CodePipeline, and related DevOps tools, • Bachelor's or Master's (preferred) degree in a quantitative or technical field such as Statistics, Mathematics, Computer Science, Information Technology, Computer Engineering or equivalent, • 5+ years of experience in data engineering and analytics on modern data platforms, • 3+ years' extensive experience with DBT or similar data transformation tools, including building complex & maintainable DBT models and developing DBT packages/macros, • Deep familiarity with dimensional modeling/data warehousing concepts and expertise in designing, implementing, operating, and extending enterprise dimensional models, • Understand change data capture concepts, • Experience working with AWS Services (Lambda, Step Functions, MWAA, Glue, Redshift), • Hands-on experience with AWS CDK, CodeCommit, and CodePipeline for infrastructure automation and CI/CD, • Python proficiency or general knowledge of Jinja templating in Python and/or PySpark, • Agile experience and willingness to work with extended offshore teams and assist with design and code reviews with customer, • A great teammate and self-starter, strong detail orientation is critical in this role.

Job DescriptionWho We AreQvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. We strategize, advise, design, develop and implement future-forward business & technology solutions. With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to revolutionize markets and set new industry standards. Who We’re SeekingWe are seeking someone to lead our revenue growth team. A key focus will be to support the pivot into high-growth M&E sub-segments, including Gaming, OTT/Streaming services, Sports Betting, Parks & Resorts, and Creator Economy platforms. This leader will be responsible for overseeing marketing, partner alliances, and sales into new logos. They will be responsible for setting the sales and marketing strategy and executing against it. This is a hands on role with individual sales a part of the responsibility.What You'll Do • Strategic GTM Alignment: Align Marketing and Sales efforts to best position Qvest US as domain experts within new sub-segments, • Sub-Segment Expansion: Architect and execute the strategy for non-studio verticals (e.g., Gaming, Sports, Music Tech), identifying unique pain points where our technical IP provides a competitive edge, • Consultative Technical Selling: Oversee the pursuit of complex, high-value digital transformation engagements, ensuring our team speaks the language of industry C-Suite, • Direct Deal Ownership: Personally leads the pursuit and closing of "Tier 1" accounts in new sub-segments, • Pipeline Generation: Shift the culture from farming (referral-based) to proactive (hunting). You will build a "cold-to-close" engine that targets new logos, • Partner Alliances: Strengthen partnerships with AWS, Azure, and Google Cloud’s M&E divisions to drive co-sell opportunities in emerging tech sectors, • Revenue Operations: Develop and implement sales metrics and performance targets, regularly monitoring sales activity, pipelines, and conversion rates to drive continuous improvement, • Unify Sales, Marketing, Partnerships, Customer Success, and Revenue Operations into a single, aligned revenue engine with shared goals, processes, and metricsWhat You’ll Bring, • 7+ years of leadership experience, specifically within B2B/ Professional Services/ Systems Integrator firm, • Deep familiarity with the Media & Entertainment lifecycle (production to distribution), • Proven success in taking a service offering from a core market into adjacent verticals. You should have a "playbook" for entering new sub-segments, • An active book of decision-makers within Gaming, Streaming, or Professional Sports organizations, • Proven ability to work with strategic partners to successfully grow revenue through alliances and channels, • Track record of success in dealing with RFPs and tenders as well as in closing deals with key media and digital players and Fortune 500 corporations, • Bachelor's degree in relevant fields (e.g., business administration, engineering, industrial engineering, or similar)

Job Description Company Overview At NetCov, we specialize in delivering cutting-edge IT and cybersecurity solutions designed to protect and optimize the digital infrastructure for the industries we serve. We differentiate ourselves from our competition through our deep and intimate knowledge of our customers’ business. About the Role The Sr. Client Solutions Architect will oversee and focus comprehensive infrastructure, security, and technology strategy for our clients. This role serves as the primary technical advisor for client environments, ensuring optimal technology alignment with business objectives. This role requires a blend of technical expertise, business acumen, and a client-centric approach to deliver exceptional services and drive client outcomes. They will develop and mentor Client Solutions Architects and support their deliverables to their respective covered clients. Accountabilities Strategic Mentorship Leadership • Establish and lead a formal mentorship program for Client Solutions Architects, focusing on developing their technical expertise, client relationship skills, and strategic thinking capabilities, • Create individualized development plans for each mentee, identifying skill gaps and providing targeted learning opportunities in areas such as solution design, client communication, and technical presentation skills, • Guide Client Solutions Architects in developing deep expertise across multiple technology domains including cloud architecture, security frameworks, and emerging technologies, • Provide hands-on training in advanced solution design methodologies, architectural patterns, and best practices for multi-client environments, • Lead technical workshops and knowledge-sharing sessions focusing on complex problem-solving, system integration challenges, and innovative solution approaches, • Review and provide feedback on solution designs, technical proposals, and client presentations to ensure quality and alignment with best practices, • Technical Expertise:, • Lead and coordinate the infrastructure team's efforts across various technical domains, • Develop and implement best practices for client infrastructure, security architecture, and technology roadmaps, • Stay current with emerging technologies and industry trends to drive innovation within the team, • Ensure the team delivers high-quality solutions that meet or exceed client expectations, • Develop and maintain a deep functional knowledge of customer’s goals, technical challenges, business objectives, critical infrastructure, and proactively mitigate risk within the environment, • Client Mastery:, • Develop and maintain comprehensive understanding of each client's business goals, strategic plan, technical landscape, and operational challenges., • Proactively identify and mitigate technology and security risks across client environments, • Ensure deep knowledge of critical infrastructure dependencies and their impact on business continuity, • Create and maintain strategic technology roadmaps that align IT investments with business objectives and growth initiatives, • Technical Program Management, • Serve as the primary escalation point for complex technical issues and client concerns, • Build and maintain strong relationships with portfolio of clients., • Collaborate with Client Success Managers to ensure client satisfaction and address any exceptions that may occur, • Participate in client meetings to provide technical expertise and insights, • Cross-Functional Partnerships and Delivery, • Collaborate closely with Client Success Managers to ensure technology initiatives support client retention and growth objectives, • Partner with Project Management Office to ensure seamless delivery of complex technology implementations and migrations, • Coordinate with service delivery teams to translate strategic technology plans into actionable project roadmaps, • Provide technical expertise and guidance to support client renewal discussions and expansion opportunities, • Performance Management & Results, • Technology Initiative Completion: Successfully deliver 3-5 major strategic technology projects per quarter, • Roadmap Execution: Achieve 85%+ completion rate of planned technology roadmap milestones, • Innovation Implementation: Introduce 2+ new technology solutions or optimizations per client annually, • Assessment Quality: Complete comprehensive technology assessments for 100% of new client onboardings within 45 days, • Risk Mitigation: Proactively identify and resolve 90%+ of potential technology risks before client impact The ideal Client Solutions Engineer brings 6-9 years of progressive IT experience with 3+ years in enterprise client-facing roles and 5+ years in MSP environments, holding current certifications (Azure Solutions Architect Expert, AWS, CISSP) and expert-level proficiency in cloud architecture, security frameworks (NIST, CMMC 2.0), and emerging technologies. This role requires exceptional C-level relationship management skills, strategic thinking to translate business objectives into actionable technology roadmaps, and outstanding communication abilities to present complex technical concepts to diverse audiences. Success is measured by maintaining 95%+ client satisfaction scores, delivering 3-5 major strategic initiatives quarterly, driving 15%+ annual growth in client technology spend, and achieving 90%+ success in proactive risk management. The successful candidate demonstrates a client-centric mindset, commitment to continuous learning, collaborative spirit across Client Success and Project Management teams, and contributes to industry thought leadership while maintaining unwavering focus on service excellence and technical quality. Why work at Netcov? • Innovative Solutions: Work with cutting-edge cybersecurity and IT services tailored to the financial sector’s evolving needs., • Competitive Compensation: Competitive base salary plus performance-based incentives and commissions., • Professional Growth: Access to continuous training, career development, and opportunities for advancement within a rapidly growing company., • This is a full-time position, • This position may require travel occasionally for on-site meetings

Job Description Wilson Elser is a leading defense litigation law firm with more than 1400 attorneys in 46 offices throughout the United States. Founded in 1978, we rank among the top 100 law firms identified by The American Lawyer and 36 in the National Law Journal's survey of the nation's largest law firms. The Position We're looking for a Senior Network Engineer to own and evolve our enterprise network across multi-site and cloud environments. You'll be a key technical voice shaping infrastructure strategy, driving security posture through zero-trust principles, and ensuring high availability for business-critical systems — all while working remotely on a collaborative, senior-level team. Key Responsibilities Design & Architecture • Architect scalable, resilient network solutions including routing/switching, SD-WAN, firewalls, VPN, QoS, and zero-trust segmentation., • Define requirements, evaluate technologies, and lead infrastructure changes from design through implementation., • Perform proactive maintenance — patching, upgrades, tuning, and health monitoring across the networking estate., • Manage vulnerability findings and vendor security advisories for network equipment and systems., • Maintain accurate network documentation, configuration baselines, and topology diagrams., • Partner with security, infrastructure, and application teams to support firm-wide initiatives., • Evaluate emerging technologies and translate their impact into actionable recommendations., • Serve as a technical mentor and backup resource across the Network Engineering team., • 10+ years of hands-on network engineering experience across multi-site enterprise environments, • Bachelor's degree in Computer Science, Information Technology, or a related field — or equivalent professional experience., • Palo Alto Firewalls - Production deployment, policy management, and troubleshooting of Palo Alto NGFW (Panorama experience a strong plus)., • Cisco ACI - Hands-on experience with Nexus 9300/9000 series in ACI mode — fabric design, EPG/contract configuration, and troubleshooting., • Proven ability to architect, implement, and troubleshoot complex, multi-vendor network infrastructure., • Strong documentation habits — you leave networks better documented than you found them., • Ability to translate ambiguous business requirements into clear, implementable technical designs., • Excellent communication skills — comfortable presenting to both engineers and executives., • Strong project management instincts with the ability to juggle multiple workstreams independently., • A collaborative, team-first mentality balanced with the ability to drive work autonomously., • Routing & Switching, • Deep expertise in enterprise routing protocols (OSPF, BGP) and switching (VLANs, port channels, spanning tree, QoS) across multi-site environments., • Cisco certification at the professional or expert level (CCNP, CCDP, or CCIE) strongly preferred., • Experience in professional services, financial services, or legal industry environments., • Familiarity with network automation tooling (Ansible, Python/Netmiko, Terraform for network infra)., • Experience with public cloud networking (AWS, Azure) and hybrid connectivity patterns., • Exposure to Panorama for centralized Palo Alto management at scale., • Core Networking, • SD-WAN (Silver Peak / HPE Aruba EdgeConnect) — deployment, policy, and optimization, • DMVPN, IPSec VPN, and secure remote access architectures, • Load balancing (Citrix NetScaler / ADC) — configuration, SSL offload, and health monitoring, • Wireless networking via Cisco Meraki — deployment, RF planning, and troubleshooting, • Network tapping and packet capture solutions for visibility and forensics, • Security & Zero Trust, • Zscaler (ZIA/ZPA) — implementation, policy configuration, and troubleshooting, • ACL development and firewall policy lifecycle management, • Zero-trust network segmentation principles and implementation, • WAF configuration and proxy infrastructure, • Collaboration & Voice, • Cisco Call Manager (CUCM) and Unity Connection — administration and troubleshooting, • Network monitoring and management platforms (SolarWinds, PRTG, or equivalent) A variety of factors are considered in making compensation decisions, including but not limited to experience, education, licensure and/or certifications, geographic location, market demands, other business and organizational needs, and other factors permitted by law. Final salary wages offered may be outside of this range based on other reasons and individual circumstances. This position is considered full-time and therefore qualifies for benefits including 401(k) retirement savings plan, medical, dental, vision, disability, and life insurance. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. Salary Range: $135,000—$150,000 USD Why Should You Apply? • Benefits: Outstanding benefits package, including 401k match and generous PTO plan, • Career Growth: Ample opportunities for professional development and advancement

Job DescriptionAbout zaimler AI agents can't reason over data they don't understand. Enterprise data today is fragmented across dozens of systems with no shared context, meaning, or structure, and that's why most enterprise AI is failing. The shift from copilots to autonomous agents is creating an entirely new infrastructure layer, and we're building it. zaimler is the context infrastructure for the agentic era: a platform that automatically discovers domain knowledge, maps relationships, and gives AI agents the semantic understanding to operate with precision at scale. Imagine knowledge graphs that support real-time inference, built for systems that need to reason, not just retrieve. zaimler was founded by Biswajit Das (ex-VP Engineering, Truera), a Data Infra veteran and former Chief Architect at Visa, and Sofus Macskassy (ex-Director of Engineering, LinkedIn), who built one of the largest knowledge graphs in production in the industry at LinkedIn. We're growing and deploying with major enterprises across insurance, travel, and technology. If you want to build infrastructure that the next decade of enterprise AI runs on, we'd love to talk. About the Job We’re looking for a Forward-Deployed Engineer to join our founding team and bring our AI-native data infrastructure to life in real-world environments. This is a hybrid role blending infrastructure, product, and delivery—you’ll work across systems, tools, and teams to bring new deployments from concept to scale. Think of it as a "jack-of-all-systems" role: one foot in Kubernetes and Ray clusters, the other in semantic pipelines and user-facing use cases. You’ll be a first responder, architect, and operator—deploying zaimler’s semantic infrastructure into dynamic enterprise settings, collaborating closely with ML and infra engineers, and making sure customers get value from day one. This role prefers candidates in or aligned to the Eastern Time Zone (EST) & will require travel onsite to customer locations. What You Will Be Doing • Build, deploy, and scale zaimler’s platform in diverse customer environments (Kubernetes-native, often hybrid cloud), • Own the infrastructure stack: provisioning, scaling, monitoring, and incident handling for data/ML pipelines., • Stand up and optimize distributed compute systems using Ray, Kubernetes, and supporting cloud services., • Bridge ML and infra—help ML engineers productionize knowledge extraction, entity linking, and retrieval pipelines, • Write Terraform, Helm charts, Dockerfiles, and bash scripts that others rely on, • Contribute to internal tooling, automation, and observability to make zaimler repeatable and scalable., • Interface directly with early customers to understand their environment, workflows, and edge cases.Prior Experience, • 3+ years of experience in backend or infrastructure roles (infra/platform, SRE, or devops welcome), • Deep familiarity with Kubernetes, Docker, Terraform, and Helm, • Experience managing or deploying distributed compute frameworks (Ray, Dask, Spark, etc.), • Fluency in at least one scripting language (Python, Bash, Go preferred), • Strong debugging skills across the stack—from network hiccups to memory leaks, • Experience deploying in cloud-native environments (AWS/GCP/Azure), • Comfortable being customer-facing and managing ambiguity in real-time, • Strong sense of ownership and bias toward action in early-stage environmentsNice to Haves, • Experience deploying or integrating LLMs or vector databases, • Background in ML Ops or building/operating data infrastructure at scale, • Familiarity with GPU optimization, multi-tenancy, or air-gapped environments, • Prior startup or zero-to-one deployment experience, • Familiar with Ray Serve, VLLM, or similar frameworks

Job DescriptionTagup is a Series A defense technology company, founded at MIT, that is delivering logistics decision advantage with next-generation AI. It all started on a balcony at MIT, with an idea about monitoring asset data via the cloud using passive RFID tags (TAG) - sent up (UP) to the cloud. Our product Manifest— is the operating system for the physical world. We’re a team of engineers and data scientists driven by our mission to use reinforcement learning and probabilistic modeling to optimize military logistics and critical infrastructure, ensuring our customers get the best performance they can out of the resources. You make a real world impact where your code won't just optimize a shopping cart or a compute primitive. It will optimize supply chains for the U.S. military and prevent catastrophic failures in critical infrastructure. We do not use proprietary tooling or build systems and deployment pipelines. We build on modern, open standards you can apply in any space. You won't just own a slice of a service. You will own entire architectural domains—from API design and data modeling to deployment and monitoring strategies. You’ll work directly with PhD-level data scientists and former special operators. We value high-velocity decision-making over "approval chains." The Role You know how to operate at scale. You live by ownership and bias for action. But working within the confines of a massive company or cloud provider, your scope is often limited to a single service, proprietary internal tooling, and endless operational reviews. This is a "0 to 1" role. We don't need you to maintain a legacy service with 10 years of tech debt. We need you to architect the core platform that ingests, processes, and acts on billions of data points from the physical world. It's an opportunity to escape the service team grind.What You’ll Build • Tagup AI Agent: Optimize complex NL queries and time-series data storage to ensure sub-second latency for our AI models., • Core Architecture: Design and implement high-performance REST APIs and microservices that power the Manifest platform., • Data Ingestion at Scale: Build the "nervous system" of our platform—robust ETL pipelines that ingest high-frequency sensor data from diverse industrial assets., • Operational Excellence: Bring your "Bar Raiser" mentality to our infrastructure. Implement sophisticated monitoring, alarming, and automated CI/CD pipelines to ensure 99.99% availability without the bureaucracy.Required Skills, • You treat architecture as an evolving being that morphs as customers scale and storage/compute/security needs change., • You understand "Scale" vs. "Complexity": You know that scale isn't just about TPS; it's about handling complex data relationships., • You want to mentor: You are ready to take the "Tech Lead" mantle, mentoring junior engineers and setting the standard for code quality and design patterns.The Tech Stack, • AI: pyro, torch, MCP, Langchain using Claude., • Languages: Python (FastAPI, SQLAlchemy, Pandas) – We value your software engineering fundamentals and ability to learn over which specific languages you have experience in., • Data: PostgreSQL, Redis.

Job Description JOB TITLE: Data Analyst REPORTS TO: Director of Data Strategy and Reporting DEPARTMENT: IT HOURS: 40 Hours FLSA STATUS: Exempt SALARY: $90k-125k POSITION SUMMARY: The Data Analyst provides the foundation for analytics, namely the collection, quality assurance and availability of data. This IT role requires a significant set of technical skills, including a deep knowledge of SQL, SQL database design and multiple programming languages as well as communication skills to understand what data and analysis the healthcare analysts want to gain from Healthix data stores. They are responsible for the maintenance, improvement, cleansing and manipulation of data in the organization’s operational and analytics databases. The Data Analyst works with team members to define and build data pipelines to orchestrate the movement, transformation, validation, and loading of data from the source to the final destination – data stores defined and implemented based on system requirements and data consumer requirements. Typical tasks performed include working with the data architect on data warehouse design, ensuring data loads quickly, is easily accessible and rapidly comprehensible for analysts/users; extract, transform, and load (ETL) processing; performing thorough testing and validation in order to support the accuracy of data transformations and data verification to ensure correctness and that data is generally reliable for downstream consumption; data bounds checking and database tuning. The Data Analyst strives to ensure proper data governance and quality for the Data Strategy team and the entire organization. They analyze complex data elements and systems, data flow, dependencies, and relationships to contribute to conceptual physical and logical data models. They work collaboratively within the Data Strategy team, providing support for their data centric needs. The candidate has strong working and conceptual knowledge of database queries multidimensional query and index tuning, monitoring, disaster recovery, backup, automated testing, automated schema migration, and continuous deployment. Requirements Essential Duties and Responsibilities: • Enhance and streamline data and pipeline architecture to improve data flow and collection., • Partner with software developers, database architects, and data analysts to support data initiatives and ensure reliable data delivery., • Independently address the data requirements of multiple teams, systems, and products., • Refine or redesign Healthix’s data architecture to enable next‑generation products and data capabilities., • Build and maintain scalable data pipelines and reporting solutions to support growing data volumes, performance and complex queries across Databricks, MS SQL Server, and Intersystems HealthShare., • Work with Data Strategy and Business teams to improve data models and increase data accessibility for business intelligence., • Implement monitoring processes to safeguard data quality, accuracy, and availability for key stakeholders., • Develop queries, support reporting needs, and tailor reporting solutions to enable data‑driven decision‑making., • Develop and execute unit and data validation tests while maintaining accurate documentation, perform data analysis to troubleshoot issues, support feasibility assessments, evaluate health outcomes, and resolve data‑related problems., • Provide general reporting and project support across the organization., • Ensure reporting meets standards for reliability, accuracy, completeness, and compliance., • Support the development, ETL processes, and maintenance of company data assets and data models, design data integrations and data quality frameworks., • Evaluate open‑source and vendor data‑lineage tools and contribute to long‑term data platform architecture planning across IT and Business teams., • Assist in developing an integrated data warehouse to provide a comprehensive healthcare dataset. Supervisory Responsibilities: • This job has no supervisory responsibilities. Qualifications: • 5+ years of experience in a Data Analyst role, with a graduate degree in Computer Science, Statistics, Healthcare Informatics, Informatics, Information Systems, or a related field. IBM Certified Data Engineer or Google Certified Professional is preferred., • Experience with healthcare data, including HL7, CCDAs, MS SQL Server, Databricks, Tableau, Intersystems HealthShare, and Cache databases., • Advanced SQL knowledge and experience with relational databases, query authoring, and familiarity with various databases., • Proficient in database design principles, including relationships, normalization, structures, indexes, views, and analyzing database requirements., • Experience in building and optimizing big data pipelines, architectures, and data sets., • Strong analytical skills and experience in performing root cause analysis on data and processes to answer business questions and identify improvement opportunities., • Experience in developing processes for data transformation, structures, metadata, dependency, and workload management., • Working knowledge of message queuing, stream processing, and scalable big data stores., • Proficient in big data tools such as Hadoop, Spark, and Kafka., • Experience with relational SQL and NoSQL databases., • Strong programming skills with languages like Python, Java, C++, and Scala., • Ability to architect end-to-end ETL pipelines., • Experience with AWS services and BI tools like Tableau., • Strong quantitative, analytical, process development, facilitation, and organizational skills. SALARY: $90k-125k We’re committed to supporting our team both professionally and personally. Our benefits include a flexible hybrid work environment, generous paid time off, comprehensive medical, dental, and vision coverage, a 401(k) with company match, commuter benefits, and additional perks designed to support your well-being.

Job DescriptionWhat We Do Gecko Robotics is helping the world’s most important organizations ensure the availability, reliability, and sustainability of critical infrastructure. Gecko's complete and connected solutions combine wall-climbing robots, industry-leading sensors, and an AI-powered data platform to provide customers with a unique window into the current and future health of their physical assets. This enables real-time decision making to increase the efficiency and safety of operations, promote mission readiness, and protect the environment and civilization from the effects of infrastructure failure. Role at a Glance Gecko Robotics’ Manufacturing team is one of its newest and fastest-growing , building robotic and software systems that accelerate American industry and support critical government programs. As a Software Engineer, you will develop field and cloud software that powers robotic systems, process sensor data, and empower decision-making across the industrial base. You will collaborate daily with engineers of all disciplines, in addition to Non-Destructive Testing (NDT) experts, to help protect critical infrastructure and support national security initiatives. Due to government program requirements, candidates must be authorized to work in the United States. What you will do * Build cloud and field applications for use within the Military- Industrial Base * Create ontologies representing the digital thread of industrial assets * Architect robust interfaces between field and cloud software systems * Solve complex deployment problems as we ship software to edge devices around the US * Iterate quickly with today’s customers while building for the long run Technologies We Use * Python, Typescript, React * Google Cloud About You Required Skills * 5+ years of hands-on experience building and maintaining production systems * Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, or a related technical field (or equivalent practical experience) * Proficiency with programming languages such as Java, C++, Python, JavaScript, or similar object oriented languages * Experience working with cloud-based infrastructure (GCP, AWS, or Azure) * Experience designing APIs and interfaces between distributed systems * Demonstrated ability to independently own and deliver complex technical projects end-to-end * Strong written and verbal English communication skills, with the ability to collaborate effectively across teams with varied technical backgrounds * Comfortable operating in fast-paced, rapidly evolving environments with dynamic objectives * Ability to work both independently and collaboratively within cross-functional teams * Willingness to travel periodically to other Gecko offices (including Pittsburgh, New York, and Boston) and to client sites as needed Preferred Skills * Experience building production systems using Python * Experience building frontend applications using React and Typescript (or JavaScript) * Experience working with 3D rendering techniques and frameworks * Experience supporting U.S. Government or Department of Defense programs * Familiarity with industrial inspection or Non-Destructive Testing (NDT) concepts is a plus (not required; Gecko provides domain training) Who We Are At Gecko, our people are our greatest investment. In addition to competitive compensation packages, we offer company equity, 401(k) matching, gender-neutral parental leave, full medical, dental, and vision insurance, mental health, ongoing professional development, family planning assistance, and flexible paid time off. Gecko values collaboration, innovation, and partnership, and we believe we do our best work when we're together in person. We’re an office-first culture but understand that sometimes you may need to work from home. Many people are in the office five days a week, others need a bit more flexibility. Ultimately, we care about the outcomes we achieve - and creating a culture of autonomy and trust that enables that impact. Gecko is committed to creating a culture of inclusion and belonging, and we are proud to be an equal opportunity employer. We believe it is our collective responsibility to uphold these values and encourage candidates from all backgrounds to join us in our mission to protect today’s infrastructure and give form to tomorrow’s. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, veteran status, age, or any other protected characteristic per federal, state, or local law. If you are passionate about what you do and want to use your talents to support our critical mission, we’d love to hear from you. Compensation Range: $180K - $235K

As a Cloud Data Engineer, you'll play a key role in connecting cloud-scale data flows to real-world business outcomes. You'll architect solutions across platforms like Snowflake, Azure, Databricks, and AWS, working on complex, high-impact data products that matter. Whether you’re aiming for a futu

Job Description A forward-thinking tech company is looking for an outstanding Senior Engineering Lead to become a cornerstone of their technical team. This role offers a rare opportunity for a technically accomplished engineer with proven leadership skills to architect and scale systems from inception, with a transparent trajectory toward assuming the Chief Technology Officer position as the organization matures. The perfect fit is someone who excels in agile startup settings, brings concrete experience launching products from zero to one, and combines technical mastery with the interpersonal skills needed to guide diverse teams. Core Responsibilities • Hands-On Development: Produce elegant, sustainable code throughout the entire stack; demonstrate leadership through meaningful contributions to the codebase, • Platform Integration: Architect and execute integrations with external platforms, especially Shopify, guaranteeing smooth data synchronization and outstanding user experiences, • Cross-Functional Collaboration: Work in close partnership with product, design, and commercial teams to transform business needs into technical implementations; articulate sophisticated technical ideas to non-technical collaborators, • Strategic Planning: Play a key role in technical roadmap development and product vision; prepare yourself to assume CTO duties as the organization scales, • Cloud Infrastructure: Build and maintain AWS infrastructure to deliver dependability, security, and budget efficiency; establish DevOps best practices, • Technical Leadership & Architecture: Create, develop, and expand reliable full-stack solutions leveraging contemporary technologies; drive essential architectural choices that harmonize velocity, quality, and growth potential, • E-commerce Platform Integration: Grasp of Shopify platform design and hands-on experience creating applications with Shopify's APIs, • Startup/Entrepreneurial Background: Prior experience developing technology solutions from the ground up in startup or entrepreneurial settings (candidates from large enterprise backgrounds are not the right fit), • Backend Proficiency: Strong experience with Python and Node.js; capability to architect and build scalable server-side systems, • Communication & Collaboration: Outstanding communication abilities coupled with high emotional intelligence; capacity to function effectively across multidisciplinary teams and bridge technical and business perspectives, • API Development: Verified experience creating and integrating GraphQL and/or REST APIs, • Leadership & Mentorship: Documented history of effectively building and coaching engineering teams; skill in delivering technical direction while encouraging career growth, • Cloud Infrastructure: Comprehensive understanding of Amazon Web Services (AWS), including practical expertise with ECS, Cognito, S3, Lambda, and RDS, • Frontend Expertise: Advanced proficiency in React, Next.js, and TailwindCSS with evidence of delivering responsive, high-performance user interfaces, • Problem-Solving Mindset: Strategic approach to balancing current requirements with future technical architecture Preferred Qualifications • Familiarity with agile development methodologies, • Track record of successfully launching and iterating on customer-facing products, • Previous experience in a technical leadership role with CTO aspirations or progression, • Experience scaling engineering teams from small to mid-size, • Contributions to open-source projects or active involvement in the developer community, • Experience with database design and optimization (SQL and NoSQL), • Hybrid work environment (1 day per week in NYC office), • 401(k) retirement plan, • 15 days paid time off (PTO), • Salary Range: $180,000 - $200,000 per year (commensurate with experience), • Full health, dental, and vision insurance coverage Keller is a recruitment agency that provides services to clients ranging from startups and non profits to multinational corporations. Keller emphasizes ethical search processes, attentive candidate care, and leadership placements that support long-term client outcomes. To learn more about the firm and about our candidate services - please visit New York City Executive Recruiting, Headhunting Search Firm Equal Employment Opportunity and Non-Discrimination Policy Equal Employment Opportunity Statement: Both Keller Executive Search and our clients are Equal Opportunity Employers. For all positions, whether with Keller Executive Search or our clients, qualified applicants will receive consideration for employment without regard to race, skin color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran status, disability, genetic information, or any other legally protected status. Commitment to Diversity: Keller Executive Search and its clients are committed to fostering a diverse and inclusive work environment where all individuals are valued and respected. 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Job DescriptionTired 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

Job DescriptionCompany Description Version 1 has celebrated 30 years in business and continues to be trusted by global brands to deliver technology and transformation solutions that drive customer success. Our deep expertise enables our customers to navigate the rapidly evolving technology landscape. We foster strong partnerships with global technology leaders including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services. We’re an award-winning employer reflecting how our employees are at the very heart of what we do: • UK & Ireland's premier AWS, Microsoft & Oracle partner, • 3300+ strong, €350/£300m revenue business, • 10+ years as a Great Place to Work in Ireland & UK, • Best Workplace for Women in the UK & Ireland by GPTW We are seeking a Senior AI Product & Research Engineer (Consultant) to help design, prototype, and scale enterprise-grade AI products. This role combines deep technical AI expertise with strong product intuition and hands-on experience leveraging modern AI development tools and coding agents. You will work closely with leadership, engineering, and research teams to translate ambitious AI concepts into deployable, secure, and scalable production systems. What You Will Do: • Translate business and research objectives into scalable AI product architectures., • Rapidly prototype AI-driven applications using modern AI coding agents and developer copilots., • Design and implement enterprise-grade AI systems across model development, evaluation, and deployment., • Lead applied research efforts across LLMs, agentic systems, retrieval architectures, and applied ML., • Establish evaluation frameworks to measure model quality, safety, robustness, and business impact., • Architect production-ready AI applications with strong observability, monitoring, and iteration loops., • Advise on AI tooling, vendor selection, infrastructure alignment, and technical roadmap decisions., • Mentor internal engineers on modern AI development workflows and best practices.Qualifications Must Have: • 8 - 12+ years of experience across AI/ML engineering, applied research, or AI product development., • Demonstrated experience building and shipping enterprise-grade AI products., • Deep familiarity with modern AI stacks (LLMs, RAG systems, fine-tuning, embeddings, orchestration frameworks)., • Hands-on experience using AI coding agents and AI-assisted development tools in production workflows., • Strong product instincts: ability to balance technical feasibility, business value, and user experience., • Experience deploying AI systems in regulated or security-sensitive environments., • Familiarity with distributed systems and cloud-native architectures., • Background working at leading AI labs, big tech, or high-performance startups., • Experience designing internal AI platforms used by multiple teams. Additional Information At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing, professional growth, and financial stability. • Share in our success with our Quarterly Performance-Related Profit Share Scheme, where employees collectively benefit from a share of our company's profits, • Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme, • Flexible/remote working, Version 1 is tremendously understanding of life events and people’s individual circumstances and offer flexibility to help achieve a healthy work life balance, • Financial Wellbeing initiatives including; Pension, Private Healthcare Cover, Life Assurance, Financial advice and an Employee Discount scheme, • Employee Wellbeing schemes including Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme and much more. Generous holiday allowance, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policies, • Educational assistance, incentivised certifications, and accreditations, including AWS, Microsoft, Oracle, and Red Hat, • Reward schemes including Version 1’s Annual Excellence Awards & ‘Call-Out’ platform. Video links:

Job DescriptionSalary: ElPreventa Tcnico Senior es responsable de liderar el diseo, dimensionamiento y presentacin de soluciones tecnolgicas complejas, alineando las necesidades de los clientes con las capacidades tcnicas de la organizacin. Su funcin combina visin tcnica, habilidades comerciales y capacidad de comunicacin ejecutiva, apoyando a los equipos de ventas y delivery en la elaboracin de propuestas de alto impacto orientadas a transformacin digital, nube, modernizacin de aplicaciones y seguridad. Responsabilidades Principales 1. Consultora y Diseo de Soluciones • Levantar requerimientos tcnicos y funcionales con clientes y stakeholders., • Disear arquitecturas de referencia sobre Microsoft Azure y AWS, aplicando principios de cloud-native, DevOps, y microservicios., • Elaborar documentos de diseo tcnico, diagramas de arquitectura, y roadmaps de migracin o modernizacin., • Recomendar frameworks, lenguajes, patrones de diseo y metodologas de desarrollo acordes al contexto del cliente. 2. Apoyo a Ventas y Propuestas • Preparar presentaciones tcnicas, demos, y sesiones de discovery junto al equipo comercial., • Desarrollar propuestas tcnico-econmicas que detallen alcance, beneficios, riesgos, costos y SLA., • Participar en RFPs, RFIs y workshops con reas de tecnologa, seguridad y negocio del cliente., • Identificar oportunidades de cross-selling y up-selling de servicios cloud, desarrollo y soporte. 3. Buenas Prcticas y Gobierno Tcnico • Promover estndares de arquitectura segura, observabilidad, CI/CD y automatizacin., • Aplicar buenas prcticas de ingeniera de software (SOLID, Clean Architecture, IaC, API-first)., • Alinear las soluciones con las polticas de ciberseguridad, cumplimiento y privacidad (ISO 27001, GDPR, Ley 155-17, etc.)., • Participar en revisiones de cdigo, diseo y calidad tcnica durante fases de preventa o PoC. 4. Innovacin y Capacitacin • Mantenerse actualizado en tendencias de IA, automatizacin, contenedores, serverless, y seguridad cloud., • Contribuir con contenido tcnico interno: playbooks, whitepapers y kits de propuesta., • Mentorizar a ingenieros y consultores junior del rea comercial y tcnica. Requisitos del Cargo Formacin Acadmica: • Ingeniero en Sistemas, Ciencias de la Computacin, Electrnica o reas afines., • Deseable Maestra o especializacin en Arquitectura de Software, Cloud Computing o Ciberseguridad. Experiencia: • Mnimo 5 a 8 aos de experiencia en desarrollo y arquitectura de software., • Al menos 3 aos de experiencia comprobada en preventa tcnica o consultora de soluciones cloud., • Experiencia en presentaciones tcnicas y workshops con clientes empresariales. Conocimientos Tcnicos Avanzados: • Cloud Platforms: Microsoft Azure (App Services, AKS, Functions, DevOps, AD/Entra ID, Key Vault, Monitor) y AWS (ECS, Lambda, RDS, S3, IAM, CloudFormation)., • Ingeniera de Software: .NET, Node.js, Python, CI/CD, API Management, patrones de integracin., • Seguridad y Cumplimiento: Azure Security Center, Defender for Cloud, AWS Security Hub, MFA, IAM, RBAC, DLP, Compliance., • Office 365 / Microsoft 365: Integraciones con Azure AD, Exchange Online, SharePoint, Power Platform., • Metodologas giles: Scrum, Kanban, DevOps, SAFE, con dominio de herramientas como Azure DevOps, Jira o GitHub Enterprise., • Infraestructura como Cdigo: Terraform, ARM/Bicep, CloudFormation, Ansible., • Conocimientos Deseables: Arquitectura Zero Trust, FinOps, automatizacin con IA (OpenAI, Cognitive Services). Competencias Clave • Comunicacin efectiva con pblicos tcnicos y no tcnicos., • Orientacin a resultados y pensamiento analtico., • Alta capacidad de documentacin tcnica y storytelling comercial., • Liderazgo colaborativo y autogestin., • Capacidad para trabajar bajo presin en contextos de RFP o cierres comerciales. Certificaciones Valoradas • Microsoft Certified: Azure Solutions Architect Expert / Azure DevOps Expert., • AWS Certified Solutions Architect Professional o Associate., • Certified Scrum Master (CSM) o SAFe Agilist., • Microsoft 365 Certified: Security Administrator o Enterprise Administrator Expert., • ISO 27001 Lead Implementer / CompTIA Security+.

Job Description The P&C Core Insurance Transformation Engagement Director is responsible for leading transformation initiatives for property and casualty insurance. This role demands a visionary leader who can innovate and drive change while collaborating effectively with stakeholders across various functions. The Director will manage large-scale programs, ensuring alignment with the company's strategic objectives and operational efficiencies. The Engagement Director will also strengthen relationships with key clients, providing expert guidance and insights into industry trends and best practices. The Engagement Lead / Program Director is the accountable executive for a large-scale insurance transformation spanning multiple jurisdictions and lines of business. This leader directs program governance, financial stewardship, and value realization while orchestrating the full SDLC—from Strategy and Inception through Design, Build, Testing, Deployment, Hypercare, and Continuous Improvement. Success requires a mix of deep insurance domain knowledge, estimation mastery, scaled-agile delivery, and executive stakeholder influence across business and technology. The Engagement Lead is responsible for implementing a structured, end-to-end estimation and governance process that ensures predictability, transparency, and control across the entire program lifecycle. This begins with defining clear scope boundaries, delivery assumptions, and productivity baselines, followed by decomposing work into manageable components and applying consistent sizing standards. Estimates are validated through collaborative reviews and integrated into financial planning, translating effort into cost projections with contingency buffers. Continuous calibration occurs at key milestones to reflect actual performance, ensuring forecasts remain accurate and risks are proactively managed. All estimation outputs feed into program dashboards and Earned Value Management for full traceability. In parallel, the role establishes robust program governance through Steering Committees, Architecture and Change Advisory Boards, and Testing Councils, supported by a PMO for planning, reporting, risk management, and vendor coordination. Governance enforces RACI, RAID, OKRs, and quality gates across phases, while maintaining strict controls for scope, change management, configuration, and go-live readiness. Auditability is ensured through end-to-end traceability from requirements to business outcomes. The Engagement Lead oversees the full SDLC, including initiation and visioning, requirements and design validation, build and integration, testing and quality assurance, release and cutover, hypercare stabilization, and legacy decommissioning. Compliance with multi-jurisdictional regulations (NAIC, DOI, GLBA, HIPAA, PCI-DSS) and strong data governance practices are embedded throughout. Finally, the role drives delivery across core platforms (Guidewire, Duck Creek, Majesco) and their ecosystem integrations, ensuring alignment with enterprise architecture and operational readiness. This structured approach enables predictable delivery, financial transparency, regulatory compliance, and measurable business value, positioning the program for success from inception through optimization. A successful candidate will bring deep insurance domain expertise across both personal and small commercial lines. They will understand the full breadth of personal lines products, including Auto (BI, PD, UM/UIM, PIP, MedPay), Homeowners, Renters, Condo, Landlord, Umbrella, Boat/Marine, Valuable Personal Property, Flood (NFIP), and Earthquake coverage. They will also have hands-on knowledge of the claims value chain, from First Notice of Loss (FNOL) through coverage verification, investigation, evaluation, negotiation, settlement, salvage and subrogation, fraud detection, litigation, and recovery. In addition, they will be well-versed in policy and billing processes, including rating, underwriting, endorsements, renewals, cancellations, reinstatements, payment methods, dunning, and refunds. On the commercial side, the candidate will understand Business Owners Policy (BOP), Commercial Auto, Workers’ Compensation, General Liability, Commercial Property, Inland Marine, Cyber, and Professional Liability. They should be familiar with commercial-specific workflows, such as multi-location risks, schedules, certificates, audits, loss control, and producer/agency integration. Beyond technical and domain knowledge, the candidate will demonstrate exceptional behavioral competencies. They will think strategically and systemically, seeing interdependencies across business, technology, risk, and operations. They will exhibit executive presence and influence, simplifying complexity and driving decisions at the C-suite level. They will be outcome-oriented, anchoring delivery on measurable value and using data-driven insights to guide progress. Adaptability is key—balancing agile speed with governance rigor and thriving in ambiguity. They will navigate conflicts pragmatically, maintain resilience under pressure, and communicate with clarity and confidence. As a talent builder, they will foster high-performing, distributed teams and create an environment of psychological safety. Integrity and compliance will be non-negotiable, ensuring controls and auditability throughout. Finally, the candidate will have extensive experience leading large-scale insurance transformations, with at least 15 years in the industry and 10 years in program leadership for core platform implementations. They will have delivered programs across multi-state regulatory contexts and multi-vendor ecosystems, with hands-on experience in platforms like Guidewire, Duck Creek, or Majesco, and expertise in scaled agile (SAFe), DevSecOps, and data migration. Strong financial stewardship skills, including Earned Value Management and forecasting, are essential. A bachelor’s degree in business or technology is required; a master’s degree and certifications such as PMP, PgMP, SAFe SPC/RTE, Agile, ITIL, or cloud architecture are highly preferred. Requirements Key Responsibilities & Expectations: • Lead Enterprise Transformation – Drive large-scale P&C insurance core system modernization initiatives across personal and small commercial lines, ensuring successful design and execution aligned with strategic objectives., • Develop Strategic Plans – Create and maintain program charters, roadmaps, budgets, and release strategies, ensuring deliverables meet quality standards and business goals., • Establish Robust Governance – Implement governance structures (Steering Committee, Architecture Review Board, Change Advisory Board, Testing Council) and enforce RACI, RAID, OKRs, and quality gates across all phases., • Implement Structured Estimation & Financial Control – Apply an end-to-end estimation process integrated with financial planning, maintain transparency through Earned Value Management, and continuously calibrate forecasts., • Direct Full SDLC Lifecycle – Oversee all phases from inception through design, build, testing, deployment, hypercare, and optimization, ensuring predictable delivery and operational readiness., • Ensure Regulatory & Compliance Adherence – Embed controls for NAIC, state DOI, GLBA, HIPAA, PCI-DSS, and other regulatory requirements; maintain auditability and strong data governance., • Drive Technology Delivery – Lead implementation of core platforms (Guidewire, Duck Creek, Majesco) and ecosystem integrations for billing, claims, document management, payments, and analytics., • Collaborate & Communicate – Establish clear communication channels with internal teams and stakeholders, manage expectations, and ensure alignment across business and technology., • Foster Client Relationships – Engage with clients to understand needs and challenges, provide tailored solutions, and leverage industry expertise to advise on best practices and innovative approaches., • Monitor & Optimize Performance – Track KPIs, validate benefits against business case, and use metrics and analytics to inform decisions and drive continuous improvement., • Build & Lead High-Performing Teams – Recruit, develop, and motivate distributed teams across onshore, nearshore, and offshore locations; foster collaboration and psychological safety., • Demonstrate Strategic & Adaptive Leadership – Balance agile speed with governance rigor, thrive in ambiguity, resolve conflicts pragmatically, and maintain resilience under pressure., • Generative AI - have a strong understanding of the use of Gen-AI across the SDLC. Experience & Qualifications • 15+ years leading large-scale insurance transformations, • 10+ years in program leadership for core platform implementations., • Proven delivery across multi-state regulatory contexts and multi-vendor ecosystems., • Hands-on experience with Guidewire / Duck Creek / Majesco, scaled agile (SAFe), DevSecOps, and data migration at scale., • Track record in financial stewardship (EVM, ETC/FTC, cost-of-delay) and estimation frameworks listed above., • Bachelors in Business/Technology (Master’s preferred). This position comes with competitive compensation and benefits package: • Competitive salary and performance-based bonuses, • Comprehensive benefits package, • Home Office model, • Career development and training opportunities, • Flexible work arrangements (remote and/or office-based), • Dynamic and inclusive work culture within a globally known group, • Private Health Insurance, • Retirement Benefits, • Paid Time Off, • Training & Development, • *Note: Benefits differ based on employee level About Capgemini Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 340,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group €22.5 billion in revenues in 2024.

Job Description Company Overview: With an annual budget of $2.3 billion and more than 7,000 employees throughout the five boroughs, the New York City Department of Health and Mental Hygiene (NYC DOHMH) is one of the largest public health agencies in the world, serving 8 million New Yorkers from diverse ethnic and cultural backgrounds. We're tackling a broad range of public health issues with innovative policies and programs and getting exceptional results, but our work is never finished. The breadth of our innovative programs provides the widest range of choices for every member of our team. Program Description: The primary goal of the Bureau of Data Technology and Strategy is to implement the agency’s Enterprise Data Platform, on Microsoft’s Azure Cloud, using Databricks. The person in this role will report to the Senior Product Manager Data Infrastructure and collaborate closely with the Bureau’s Senior Director, Data Analytics and Senior Director Data Engineering, to design/architect solutions for the Enterprise Data Platform. Summary of Position: DOHMH is seeking a Product Manager to spearhead the development of data products within the Enterprise Data Platform. The Product Manager will determine and oversee delivery of the strategy and roadmap for their products to achieve equitable public health outcomes. Their responsibilities include coordinating with colleagues in the Division of Information Technology, as well as stakeholders across key public health programs to set priorities, manage new development and operations, and provide direction and oversight to product teams and other technical support teams. Duties • Develop a deep understanding of business goals and processes to inform data product priorities and improvement recommendations., • Develop strong relationships and regularly communicate with product program stakeholders to shape the product strategy and surface and prioritize needs., • Define and execute product vision and strategy, planning, and life cycle management efforts aligned with public health goals., • Monitor the public health ecosystem and emerging technology trends to inform product strategy and proactively propose new solutions., • Establish product roadmaps and release plans that satisfy requirements and achieve agency goals and public health outcomes., • Conduct business analysis of stakeholder requirements, current systems and translation to EDP platform including developing process flow diagrams, entity relationship diagrams, and data flow diagrams., • Contribute to translating business requirements into actionable product and technical requirements., • Continuously monitor and evaluate product performance and proactively champion product improvements., • Determine skills and resources required for the product team to deliver on the product roadmap., • Guide the cross-functional development team (including colleagues from IT, data engineering, data governance) to scope, plan and deliver work, applying established delivery methodologies (e.g., agile methods) and best practices (e.g., reusability)., • Proactively identify and resolve blockers to achieve business objectives for the product, including technical and resourcing challenges., • Ensure alignment and adherence to City/Agency, financial and IT standards (e.g., architecture, compliance, security)., • Increase adoption and consumption of product capabilities., • Manage investment decision making and finances for the products, taking a return-on-investment approach to increasing the value while minimizing product costs., • Serve as product manager for multiple, related products., • 3+ years of product management or related experience., • Bachelor’s or Master’s degree (or equivalent experience)., • Understanding of public health and population health data, including concepts like HL7 and interoperability., • Familiarity with cloud products like Azure, AWS or GCP, • Some experience in data analysis, data engineering or data science in R, Python or SQL., • Ability to lead cross-functional teams and work collaboratively across diverse and matrixed stakeholders., • Ability to surface, prioritize, and balance multiple stakeholder priorities., • Strong project management skills to manage multiple projects and deadlines simultaneously., • Demonstrated success in defining and building data and technology products., • Excellent problem solving and analytical skills, including experience analyzing and leveraging data to inform decision making., • Demonstrated ability to communicate complex technical information effectively to various stakeholders verbally and in writing., • Excellent communication (verbal & written) and interpersonal skills., • Strong analytical skills and ability to manage and report complex information., • Experience with data collection, analysis and interpretation., • Desire to grow professionally, develop new skills and willingness to work outside of comfort zone., • Experience working with the public health sector and coordinating projects involving multiple stakeholders., • Ability to prioritize and work in fast-paced environment with hard deadlines., • Hybrid Work Schedule., • Generous Paid Time Off and Holidays., • An attractive and comprehensive benefits package including Medical, Dental and Vision., • Flexible Spending Accounts and Commuter Benefits., • Company Paid Life Insurance and Disability Coverage., • 403 (b) + employer matching and discretionary company contributions., • College Savings Plan., • This is a temporary grant-funded position ending in November 2027., • This individual must reside in the tri-state area (NY, NJ, CT) by their confirmed start date., • Preference may be given to individuals residing in New York City (5 boroughs) or surrounding New York State counties. We look forward to learning more about you! PHS is proud to be an equal opportunity employer and encourages applications from women, people of color, persons with disabilities, LGBTQIA+ individuals, and veterans. Monday-Friday 35 Hours Per Week

Job DescriptionPosition: Senior Software Developer | Trading & Tax Lot Harvesting (Agentic AI, .NET, AWS, Angular)Location: Fort Mill, SC | New York, NY | Austin, TXExperience: 5-8+ YearsCompany OverviewIncedo is a US‑based consulting, data science, and technology services firm with more than 3,000 professionals across the US, Mexico, and India. We help clients achieve competitive advantage through end‑to‑end digital transformation, combining deep engineering, data science, and design capabilities with strong domain expertise. Our teams deliver measurable business impact across telecom, banking, wealth management, product engineering, and life sciences & healthcare.Life at IncedoAt Incedo, you’ll work with industry‑leading clients and collaborate with experts in technology and domain strategy. Our learning platform, Incedo University, supports your growth from day one with structured onboarding, continuous learning programs, and clear career pathways. Whether you aspire to become a program manager, technical architect, or domain specialist, we provide the flexibility and support to help you grow. We also foster a collaborative, engaging workplace with regular team events and a friendly environment.Our MissionWe enable our clients to maximize business impact from technology by: • Harnessing the transformational power of emerging technologies, • Bridging the gap between business and engineering Role OverviewWe are looking for a Senior Developer to build backend services and contribute to Angular-based UI integration for an AI-powered Tax Lot Harvesting platform. You will help deliver intelligent, user-facing features that enable tax-aware trading decisions.Key Responsibilities, • Develop backend services for Tax Lot Harvesting and trading workflows using .NET, • Contribute to Angular UI development for displaying tax insights and recommendations, • Build APIs to support real-time and on-demand UI interactions, • Implement logic for tax optimization, lot selection, and drift analysis, • Integrate agentic AI outputs into UI and backend workflows, • Work with AWS services to build scalable applications, • Write high-quality, testable code (TDD)Required Qualifications, • 5+ years of software development experience, • Strong experience with .NET (C#, APIs, microservices), • Hands-on experience with Angular (components, services, API integration), • Experience in trading or financial systems, • Exposure to AI/ML or agentic AI-based applications, • Hands-on AWS experience (must-have)Preferred Qualifications, • Understanding of tax lot accounting or capital markets workflows, • Experience with data visualization in Angular (charts, dashboards), • Familiarity with real-time data handling, • AWS certification, • Comfort working in a fast-paced, product-driven environment

Job DescriptionWho we are Findigs is on a mission to make renting work for all of us. Renting is one of life’s most critical experiences, yet the process is often slow, opaque, and unfair. We’re changing that by building the first end-to-end platform that turns complex screening into a seamless, high-trust experience for both property managers and renters. We’re growing fast – fueled by $78M in funding from the investors behind companies like Affirm, Gusto, and Uber. With a data-backed product that allows our customers to make smarter, more predictable decisions, and a team dedicated to transparency and precision, we’re not just improving the rental process; we’re setting the new standard for the entire industry. We’re aiming to double our impact this year, and we need builders, thinkers, and problem-solvers to help us scale. If you’re ready to modernize one of the most essential industries, we’d love for you to be a part of it. The Role As a Lead Software Engineer, you will play a pivotal role in delivering innovative and high-impact software. You will own durable systems, collaborating with strategic partners to implement functional solutions across various systems. You’ll also enable event orchestration and data access across internal and external systems, powering our other internal Engineering teams to drive the property management industry forward. Additionally, you'll have the opportunity to occasionally collaborate and problem-solve with our customers directly, gaining firsthand insights to refine and enhance our solutions. As a Lead Engineer, you will also be responsible for mentoring other Engineers, working to up-level their skillsets and helping to create a strong team dynamic. Our tech stack includes: Python, Django, Typescript, React, Temporal.io, Postgres, and more. Please note, we are unable to sponsor or take over sponsorship of an employment Visa at this time.Where you'll make an impact: • Lead the design, development, and deployment of end-to-end web applications and services., • Collaborate with cross-functional teams including Product, Data Science, Compliance, and Security to define, scope, plan, and release projects., • Build for scale, availability, performance, and security for customer-facing applications., • Architect and own new features in our ecosystem, collaborating with other Engineers to integrate frontend and backend systems., • Provide robust technical documentation, code reviews, and promote best practices., • Monitor performance, debug issues, and ensure operational excellence., • Make key prioritization decisions with limited supervision., • Keep abreast of industry trends and ensure the company is taking advantage of the latest technologies and best practices.We'd love to hear from you if you have:, • 8+ years of professional software engineering experience., • 1+ years of experience in a technical leadership role., • Strong knowledge of API integration best practices (RESTful, GraphQL, SOAP)., • Experience with cloud infrastructure (AWS, GCP, or Azure) and modern DevOps best practices., • Hands-on experience with CI/CD pipelines, automated testing, and test-driven development practices., • Proven ability to work independently and as part of a team, collaborating across departments., • Excellent troubleshooting and problem-solving skills.Nice-to-haves:, • PropTech/FinTech experience, • Startup experienceWhat we offer:, • Location: We operate on a hybrid schedule (3-4x times in-office per week), with core collaboration days on Monday, Tuesday, and Thursday at our newly renovated NoHo office., • Mission-Driven Culture: A collaborative, high-impact workplace where we challenge each other to grow, innovate, and drive meaningful change., • Competitive Compensation: Competitive base salary + Pre-IPO equity., • Generous Time Off: We trust our team to manage their own time and workload. That's why we offer a Unlimited Paid Time Off (PTO) policy, allowing you to take the time you need to rest and recharge. We also observe all-company holidays.

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

Job Description About G-20 The G-20 Group is a pioneer in Quantitative Trading systems in cross-asset markets. Headquartered in Switzerland, we operate at the intersection of Quantitative Research, Software Engineering and Trading. The team combines a startup mindset with extensive experience in proprietary Trading, Technology and Quantitative Finance. Role Overview We are hiring a motivated Oracle Engineer to join our team, a leading DeFi desk in the sector. In this role you will have end-to-end ownership of the oracle stack, including institutional market data ingestion from co-located data centres, low-latency aggregation, hardware-secured signing, and on-chain submission. This function operates within a zero-tolerance environment, where the integrity and accuracy of price submissions are critical. Key Responsibilities • Low-Latency Data Ingestion: Design and operate a multi-source feed handler architecture to ingest tick-level data from institutional market data providers, exchange direct feeds, and reference rate APIs. Ensure isolation of data sources with independent failure domains, and implement staleness detection, quorum-based validation, and automated failover across redundant data pathways., • Price Aggregation Engine: Develop a high-performance aggregation engine in Rust to generate a single reliable price from multiple, potentially divergent data sources. Implement manipulation-resistant statistical methods, outlier filtering, asset-specific confidence thresholds, and automated halting mechanisms when data quality falls below defined standards. Ensure consistent sub-second submission cadence with deterministic latency., • Cryptographic Signing & Submission: Implement a secure signing pipeline leveraging hardware security modules (HSMs) to ensure private keys remain within tamper-resistant environments. Integrate pre-submission validation checks against on-chain reference data and design an optimized submission path with minimal network latency., • Failover & High Availability: Architect and maintain a resilient multi-site infrastructure with active/standby configurations and automated failover capabilities. Ensure failover occurs within sub-second timeframes without data loss, and implement serverless fallback mechanisms for extreme failure scenarios. Maintain high availability through load-balanced endpoints with session affinity., • Bachelors degree (minimum) in Computer Science, Engineering, Mathematics, Data Science, or a related field, top-tier university preferred, • Strong written and verbal communication skills, • Rust Development: Proven experience building and operating production systems in Rust with sub-100ms latency requirements. Demonstrated ability to deliver and maintain high-performance Rust applications in live environments., • Market Data Infrastructure: Hands-on experience integrating institutional-grade, tick-level market data feeds. Familiarity with FIX protocol, exchange connectivity, and normalization of market data across multiple asset classes, including equities, FX, commodities, and rates., • Low-Latency Systems Engineering: Experience designing and operating low-latency systems within co-located data centre environments. Strong understanding of kernel bypass networking, lock-free data structures, and cache-efficient memory design., • HSM Integration: Practical experience integrating hardware security modules (HSMs) for cryptographic signing in production environments, including key lifecycle management, rotation policies, and adherence to security standards., • Message Streaming Systems: Expertise in high-throughput message streaming architectures, including consumer group management, cross-site replication, and backpressure handling. Experience with technologies such as Redis Streams, NATS JetStream, or equivalent., • Operational Reliability: Experience supporting mission-critical systems with strict uptime requirements. Demonstrated ability to implement circuit breakers, develop operational runbooks, and design systems for graceful degradation under failure conditions., • Statistical Methods: Strong practical knowledge of robust statistical aggregation techniques, including weighted median, outlier detection, and exponential smoothing, with an understanding of their resistance to manipulation. Preferred / Desirable Experience • Blockchain Oracle Systems: Experience building or operating oracle systems (e.g., Chainlink, Pyth, or custom implementations), including an understanding of slashing mechanisms and incentive design for price reporting., • Real-Time API Infrastructure: Experience developing high-throughput WebSocket and gRPC services for latency-sensitive applications such as trading systems or AI agents., • Cloud Infrastructure (AWS): Experience designing and operating high-availability cloud infrastructure, including HSM services, serverless architectures, object storage, and service discovery with health-check orchestration., • Traditional Finance Market Microstructure: Understanding of global market microstructure, including trading hours, session boundaries, after-hours pricing, and weekend gap dynamics across asset classes. Location and Right to work: This role will preferably be based in our Zurich office but could alternatively be based out of our London, New York, Chicago or Hong Kong offices. Only candidates who possess the pre-existing right to work in one of the locations above without needing company sponsorship need apply. Join G-20 Group and be a part of a team that is at the forefront of financial markets, driving innovation and excellence in the sector.

Job Description Company Overview Interactive Brokers Group, Inc. (Nasdaq: IBKR) is a global financial services company headquartered in Greenwich, CT, USA, with offices in over 15 countries. We have been at the forefront of financial innovation for over four decades, known for our cutting-edge technology and client commitment. IBKR affiliates provide global electronic brokerage services around the clock on stocks, options, futures, currencies, bonds, and funds to clients in over 200 countries and territories. We serve individual investors and institutions, including financial advisors, hedge funds and introducing brokers. Our advanced technology, competitive pricing, and global market help our clients to make the most of their investments. Barron's has recognized Interactive Brokers as the #1 online broker for six consecutive years. Join our dynamic, multi-national team and be a part of a company that simplifies and enhances financial opportunities using state-of-the-art technology. This is Hybrid role (3 days in office /2 days remote) About your Team: The Enterprise Architecture organization is looking for a Data Engineer to join the team and help build the next generation of data infrastructure and AI-enabled workflows. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines, data lake platforms, and analytics solutions that support enterprise-wide AI initiatives and advanced analytics capabilities. You will partner closely with internal development teams and IT leadership to architect data solutions that meet diverse use-cases across the organization. This role offers the opportunity to work with cutting-edge data technologies, AI knowledge bases, and cloud-native data platforms as we scale our data operations. Your work will focus on delivering robust, well-documented data solutions and establishing best practices for data engineering across the enterprise. What will be your responsibilities within IBKR: · Design, build, and maintain scalable data crawlers and ETL/ELT pipelines to ingest data from various sources including enterprise collaboration tools, web applications, and internal databases · Develop and manage data lake platform infrastructure including S3-based storage, Iceberg tables, AWS Glue data catalog, and cloud data warehouse solutions for analytics workloads · Build and optimize real-time streaming data pipelines using Kafka for event-driven analytics and data processing · Create and maintain data transformation pipelines to clean, curate, and prepare data for analytics and AI/ML applications, supporting multiple data formats including structured, semi-structured, and unstructured data (text, images, audio, video) · Develop Python-based applications for data ingestion, processing, and integration supporting Gen AI RAG workflows and knowledge base systems · Collaborate with internal development teams, data scientists, and stakeholders to understand requirements, architect appropriate data solutions, and create comprehensive technical documentation · Monitor, troubleshoot, and optimize data pipelines for performance, reliability, and data quality · Write clean, maintainable, well-tested code following software engineering and data engineering best practices · Create comprehensive technical documentation for data pipelines, architectures, and platform capabilities What required skill's you need: · 6+ years of hands-on data engineering experience with modern data stack technologies · Strong experience with AWS cloud services, particularly: S3, AWS Glue, Athena, EMR, Lambda · Proficiency in Python for data processing, ETL, and application development · Experience with PySpark on EMR for large-scale data processing · Strong SQL skills for data analysis and transformation · Experience building and maintaining ETL/ELT pipelines at scale · Experience with Kafka for streaming data pipelines and real-time data processing · Knowledge of data lake architectures and modern table formats (e.g., Iceberg) · Experience with CI/CD practices using Git, version control systems, and containerization (Docker) · Understanding of data modeling, data warehousing concepts, and analytics best practices · Exceptional problem-solving and analytical skills · Excellent collaboration and communication (verbal and written) skills · Self-motivated with ability to work independently and manage multiple priorities · Willingness and enthusiasm to learn AI/ML technologies, stay current with emerging data engineering trends To be successful in this position, you will have the following: • Self-motivated and able to handle tasks with minimal supervision., • Superb analytical and problem-solving skills., • Excellent collaboration and communication (Verbal and written) skills., • Outstanding organizational and time management skills.Company Benefits & Perks, • Competitive salary, annual performance-based bonus and stock grant, • Retirement plan 401(k) with competitive company match, • Excellent health and wellness benefits, including medical, dental, and vision benefits. Company paid medical healthcare premium., • Wellness screenings and assessments, health coaches and counseling services through an Employee Assistance Program (EAP), • Paid time off and a generous parental leave policy, • Daily company lunch allowance provided and a fully stocked kitchen with healthy options for breakfast and snack, • Corporate events including team outings, dinners, volunteer activities and company sports teams, • Education reimbursement and learning opportunities, • Modern offices with multi-monitor setups The anticipated base salary range for this role is $150,000 to $200,000 per year, based on skills, experience, and location. The offered salary is just part of the total compensation package. In addition to a competitive salary, the company offers both a discretionary cash bonus and a stock award, as well as a wide range of benefits, including healthcare, tuition reimbursement, and more.

Job DescriptionAbout Us and Position Overview Kettle is a fast growing Managing General Agency (MGA) specializing in wildfire insurance combining advanced underwriting technology with deep industry experience. We’re looking for a Senior Full-stack Software Engineer with strong DevOps experience and front-end abilities to join our engineering team. In this role, you will architect, build, and maintain core systems across our AWS-based stack, contribute to front-end product development, and help scale Kettle’s engineering infrastructure as we grow. This is a hands-on Senior IC role. You’ll start by shipping and improving systems directly, with scope and ownership expanding as you ramp. You’ll work closely with data engineering, modeling, risk, and product teams to deliver performant, reliable, and secure systems that support our underwriting platform and geospatial analytics tools. The salary range for this role is $140,000-180,000 Why this role exists As Kettle grows, our engineering systems are becoming more central to underwriting, mapping, and data science workflows. We are a small, senior engineering team where backend and modeling capabilities are strong, but we are looking to further elevate our infrastructure, DevOps posture, and front-end tooling as our platform scales. Today, much of the system works well and supports real underwriting decisions in production. However, as usage increases, we need to improve deployment reliability, observability, infrastructure consistency, and the overall developer experience. This role exists to help us proactively strengthen those foundations rather than reacting to scale challenges later. We are looking for a senior engineer who can improve the reliability, scalability, and developer experience of our AWS-based platform while also contributing to the internal tools and interfaces used by underwriting and risk teams every day. This is a product-minded engineer who is comfortable across the stack, with primary strength in infrastructure, followed by front-end tooling, and backend systems. You will have meaningful autonomy in shaping how we deploy, monitor, and evolve our systems, and will play a key role in raising the engineering bar as we grow. What success looks like In the first 6 months, you will: • Improve observability, monitoring, and deployment reliability, • Ship meaningful improvements to internal dashboards and underwriting tools, • Have materially improved our DevOps posture and developer workflows, • Be a go-to person for infrastructure and architecture decisions, • Help shape how new underwriting and mapping products are deployed and supported, • Raise the engineering standard across backend, infra, and internal tooling Core Responsibilities Primary Focus: Infrastructure & DevOps • Improve parts of Kettle’s AWS infrastructure, CI/CD, and containerized workloads, • Implement and maintain infrastructure-as-code (Terraform or equivalent), • Contribute to architecture decisions across backend, infrastructure, and applications Essential Experience of a Successful Candidate • Bachelor’s degree in Computer Science, Engineering, or related field, • 5+ years of professional software development experience, including ownership of production systems Strong experience in: • Operating production systems in AWS (ECS, EC2, Lambda, S3, IAM, RDS, etc.), • DevOps practices: CI/CD, Docker, monitoring, reliability, security best practices, • Infrastructure-as-code and reproducible environments, • React / TypeScript frontend development, • Postgres and database-backed applications, • Experience in python development, including packaging and environment management You have demonstrated ability to: • Own systems end-to-end, from design through deployment and ongoing operation, • Work effectively in small teams and ambiguous, fast-moving environments, • Make pragmatic architectural trade-offs balancing speed, reliability, and scalability, • Improve engineering workflows, deployment processes, and overall system reliability, • Identify and proactively address infrastructure or operational bottlenecks before they become critical issues Work authorization • Be part of a mission-driven company tackling real-world challenges., • Work with a passionate and innovative team in a collaborative environment., • Opportunity to influence cutting-edge wildfire risk modeling in a dynamic industry., • Competitive salary and benefits package, including remote work., • This position is eligible for stock options (subject to board approval). Our Kettle Inc. ("Kettle") is an equal opportunity employer. Kettle provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

Job DescriptionA little about us… Knit is the AI-native consumer research platform helping brands automate and accelerate primary research. With our Researcher-Driven AI, we've condensed the entire quant + qual research process from weeks into days (sometimes hours!) for 50+ enterprise brands — including Amazon, T-Mobile, Mars, NASCAR, and more. We're on a mission to scale and democratize world-class research. From survey generation to stakeholder-ready reports, our platform is redefining how insights teams operate — and we need your help to push the limits of what's possible. Overview We're continuing to build out our NYC engineering team and are looking for exceptional builders who are resourceful, deeply technical, and thrive in high-ownership environments. As an early member of the team, you'll play a key role in shaping the core of our platform and contributing to a team that will scale to 20+ engineers over the next 18 months. You'll build and orchestrate AI agents, explore new UX paradigms, and work on some of the hardest problems in applied AI with meaningful ownership across the stack. Responsibilities | What you will own... Primary responsibilities of this role: • Own 0→1 and 1→N features across the stack, from design docs to building high-throughput data pipelines and scalable FastAPI services., • Architect and own the core agent orchestration engine, designing complex, multi‑agent LLM workflows (routing, tool‑use, memory, evaluation) with deterministic fallbacks, guardrails, and auditable actions required by enterprise users., • Build AI‑native, human‑in‑the‑loop UIs. Craft React/Next.js interfaces that let users collaborate safely with agents, with transparency and explainability by design., • Develop the "factory for the factory". Build our experimentation platform: CI/CD for prompts and agents, offline/online evals, drift detection, safety layers, and rollout controls., • Ship fast, safely. You'll instrument everything for reliability, write concise design docs, add robust tests, and build dashboards and alerts for features you launch., • Partner cross‑functionally with Product, AI, Design, CS; talk to customers and SMEs, and turn ambiguous problems into shipped product., • Obsess over performance, optimizing for latency across the system: caching, model selection, distillation, batching, vector search, and infrastructure efficiency (GPU/CPU)., • Operate what you build. This includes on‑call ownership, leading incident response, and driving learning through blameless postmortems.This role is for you if..., • You're a 0 → 1 builder who thrives in ambiguity and has shipped products from scratch at a startup or in a hyper-growth phase. You've seen both - early-stage hustle and later-stage scale and know how to build for it., • You're a systems thinker with deep technical chops: you design clear architectures and write clean, tested Python and TypeScript., • You think like an owner: you spot problems, propose solutions, and build them without waiting for perfect specs. Your impact is measured in business outcomes., • You use AI as leverage. Tools like Cursor, Copilot, or Claude Code are integral to your workflow, helping you ship faster while maintaining a high standard for correctness., • You believe speed and quality aren't opposites and can articulate the tradeoffs you make., • You communicate crisply. You share your ideas effectively and thrive in tight feedback loops with product, design, and customers., • You've got grit: hard problems energize you, context switching doesn't scare you, and you're comfortable deleting code.Our Stack, • Frontend: React, Next.js, • Backend: Python, FastAPI, • Data/ML: MongoDB, S3, Redis; Pinecone, • Infra: AWS, Docker, Kubernetes; CI/CD with GitHub Actions., • Messaging: SQS; event‑driven pipelines.Required Skills & Experiences The successful candidate will be a high-ownership, product-minded engineer who combines strong full-stack fundamentals with experience building AI-native systems, capable of turning ambiguous problems into scalable, reliable features that drive real business impact. Required: • Experience with LLM/agent systems, evals, and prompt tooling; RAG, embeddings, vector dbs., • Deep knowledge of event‑driven systems, streaming, and workflow engines., • Expertise in observability (OpenTelemetry/Prometheus/Datadog), feature flagging, or A/B platforms., • Background in enterprise security and compliance (SOC 2, GDPR), • Bias to action: short specs, small PRs, daily deploys., • In-person collaboration: we're building the NYC hub together; whiteboards > long threads., • Are 1% better every day: We approach situations with a growth mindset and ask, "How can we make the business better?" and "What would it take?", • Play to win: We set audacious goals and push ourselves to achieve them with a bias towards action (When we see a need, we take initiative, and hold ourselves accountable to seeing it through). CCPA disclosure here.

Job Description Trexquant is seeking a highly skilled Senior Data Architect to design and lead the next-generation architecture for our research and simulation data ecosystem. This role is central to unifying Trexquant’s extensive collection of datasets—sourced from hundreds of vendors—into an accessible, efficient, and scalable data platform that supports simulation, research, and alpha generation across multiple asset classes. The successful candidate will architect the end-to-end data infrastructure that enables researchers and simulators to seamlessly discover, query, and combine datasets across equities, futures, FX, ETFs, corporate bonds, and options. This person will design data models, storage systems, and researcher-facing interfaces that make it easy to transform raw vendor data into structured, analysis-ready forms—empowering systematic research and robust backtesting. Responsibilities • Architect and implement a unified data platform that integrates hundreds of vendor datasets, providing consistent, accessible, and high-quality data to simulators and researchers., • Design efficient storage and retrieval systems to support both large-scale historical backtesting and high-frequency research workflows., • Develop intuitive researcher interfaces and APIs that allow users to easily discover variables, explore metadata, and assemble data into standardized stocks × values matrices for rapid hypothesis testing., • Collaborate closely with quantitative researchers and simulation teams to understand their workflows, ensuring the data platform meets real-world analytical and performance needs., • Establish best practices for data modeling, normalization, versioning, and quality control across asset classes and data vendors., • Work with infrastructure and DevOps teams to optimize data pipelines, caching, and distributed storage for scalability and reliability., • Prototype and deploy internal data applications that enhance research productivity and data transparency., • Mentor and guide data engineers to maintain robust, maintainable, and well-documented data systems. Requirements • 7+ years of experience in data architecture, quantitative research infrastructure, or large-scale data engineering in a financial or research-driven environment., • Proven experience designing and implementing scalable data storage solutions (e.g., columnar databases, time-series systems, object stores, or data lakes)., • Strong proficiency in Python and familiarity with modern data stack technologies (e.g., Parquet, Arrow, Spark, SQL/NoSQL, distributed file systems)., • Deep understanding of time-series and financial data modeling, including handling multiple vendors, instruments, and frequencies., • Experience building data interfaces, APIs, or tools that serve researchers, data scientists, or quantitative analysts., • Ability to translate research needs into efficient data schemas and access patterns., • Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, Mathematics, or a related quantitative field., • Strong collaboration, communication, and documentation skills., • Competitive salary plus bonus based on individual and company performance., • Collaborative, casual, and friendly work environment., • PPO health, dental, and vision insurance premiums fully covered for you and your dependents., • Pre-tax commuter benefits., • Weekly company meals. Applications are open for both Stamford and New York City offices, the latter with a planned opening in October 2026. The base salary range is $175,000 - $200,000 depending on the candidate’s educational and professional background. Base salary is one component of Trexquant’s total compensation, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt. Trexquant is an Equal Opportunity Employer.

Job Description About Copia Copia Automation builds the version control and change management platform for industrial automation. Our customers are in oil & gas, manufacturing, and critical infrastructure — environments where the code running on PLCs, SCADA systems, and HMIs has direct safety implications. We bring modern software engineering practices to operational technology teams that have been underserved by tooling for decades. We’re a well-funded startup growing fast, with enterprise customers deploying Copia across hundreds of facilities. Our headquarters is in New York City. The Role We’re hiring a Lead Security Engineer to mature Copia’s security engineering program. You’ll work closely with our CISO and report into engineering leadership. This is not a siloed role. You’ll be the person responsible for detection engineering on Monday, IAM architecture on Tuesday, compliance evidence on Wednesday, and incident response whenever it’s needed. We need someone who can context-switch across security domains and knows which problem to prioritize on any given day. You should be comfortable building a security program, not just operating one someone else designed. If you’ve been the first or second security engineer at a startup before, you know exactly what this means. What you'll own: • Detection Engineering & Incident Response: Build, tune, and maintain detection pipelines and alerting. Run incident investigations and root-cause analysis. Drive toward full visibility and monitoring coverage across cloud and endpoint assets., • Cloud & Infrastructure Security: Secure our AWS environment — IAM policies, network segmentation, container security, secrets management. Codify security guardrails in infrastructure-as-code. Review architecture decisions with engineering for security impact., • Enterprise Identity & Cloud Access: Architect and manage identity infrastructure across cloud and SaaS environments — IdP configuration, SSO/OIDC integration, SCIM provisioning, conditional access policies, and RBAC design. Own the full identity lifecycle from onboarding to offboarding, enforce least-privilege across AWS accounts and SaaS applications, and drive access certification and governance programs., • Strong detection engineering skills — you’ve built and tuned SIEM rules, written detection content, and investigated real alerts, not just monitored dashboards someone else built, • Deep understanding of AWS security architecture — IAM, VPC design, multi-account strategies, and native security services, • Proficiency with infrastructure-as-code for security — codifying policies, guardrails, and configurations rather than clicking through consoles, • Experience with identity and access management architecture — IdP configuration, SSO/OIDC, RBAC design, and access lifecycle automation, • Scripting and automation chops in Python, Bash, or PowerShell for security operations, orchestration, and evidence workflows, • Experience with CrowdStrike Falcon (EDR + LogScale/NG-SIEM) or Datadog Security Monitoring, • Terraform expertise, including module development and policy-as-code (OPA, Sentinel), • Familiarity with fleet management tools (FleetDM, osquery, Jamf, or Intune), • Exposure to OT/ICS security concepts, industrial control systems, or critical infrastructure environments, • Experience with EU regulatory frameworks — NIS2, Cyber Resilience Act, IEC 62443, • Background in vulnerability management lifecycle — scanning, triage, remediation tracking, and executive reporting, • Your work has real-world safety impact. Our customers run critical infrastructure. Security here isn’t an abstract compliance exercise — it matters., • You’ll build, not just maintain. This is a greenfield opportunity to shape the security program at a company that’s scaling fast., • No bureaucracy. You’ll work directly with engineering and leadership. Your recommendations get implemented, not lost in committee., • Competitive equity. Full-time permanent employees receive meaningful ownership in a company with significant upside.

Job Title: Senior AWS Connect Solutions Architect & Lead Developer Location: NY/NJ/CT Onsite -Hybrid/Remote Term: Contract Experience: 5–7 Years experience in Amazon Connect CX Transformation We are seeking a hands-on AWS Connect Architect to lead the technical migration of a large healthcare payer for chat and voice services migrating from Genesys/ LivePerson to Amazon Connect. This is a role requiring a candidate who can define high-level architecture, advise on migration best practices, provide innovative solutions and roll up their sleeves to build complex contact flows and integrations. Key Responsibilities • Architectural Leadership: Design and document the end-to-end migration strategy from to a unified AWS Connect environment for both Voice and Chat., • Requirements Engineering: Lead discovery sessions to translate legacy must-have features and identified gaps into AWS-native functional requirements, with a specific focus on Digital Chat workflows., • Hands-on Development: Build and optimize complex Contact Flows, Lex Bots (V2), and Lambda-based integrations to ensure a seamless member experience., • Migration Advisory: Serve as the Subject Matter Expert (SME) on CCaaS migration best practices, including cutover strategies, feature mapping, agent desktop integrations and AI desktop interventions ., • Stakeholder Engagement: Act as the primary technical point of contact for various stakeholders and partner vendors, ensuring the solution aligns with Healthcare compliance (HIPAA), compliance and other value-based care objectives., • Chat Specialization: Define the requirements for persistent chat, asynchronous messaging, chat to contextual agent handoffs within the AWS ecosystem. Required Skills & Qualifications • Experience: 5–7 years of professional experience in Contact Center technology, with at least 3 years of deep, hands-on experience specifically with Amazon Routing, Connect flows, Lex Bot development, Agent Assist features. Agent desktop integrations, • Migration Expertise: Proven track record of migrating large-scale enterprises from other CCaaS systems to AWS Connect. Technical Stack: • Expertise in AWS Connect Contact Flows, Lambda (Python or Node.js), and Amazon Lex., • Strong understanding of AWS ecosystem services: DynamoDB, Kinesis, S3, and CloudWatch., • Familiarity with CRM integrations (Salesforce Health Cloud or similar)., • Knowledge also on Genesys / LivePerson Chat is preferred Domain Knowledge: Previous experience in U.S. Healthcare (Provider/Payer) is highly preferred, including understanding HIPAA mandates and care coordination workflows. Soft Skills: Ability to consult with business leaders to gather requirements and then immediately translate those into technical execution.

Perplexity is redefining how people search, reason, and interact with information. Our API team sits at the core of this vision, designing and operating the high-performance interfaces that expose Perplexity's intelligence to developers, enterprises, and products worldwide. This team owns the architecture, reliability, and security of the APIs that power everything from real-time LLM queries to enterprise-scale integrations. As a member of our API Platform engineering team, you will shape the technical foundation of Perplexity's external platform. You'll architect distributed systems, optimize performance at scale, and set engineering standards that ensure our APIs are fast, resilient, and a delight to build on. Tech Stack: Python | Go | PostgreSQL | DynamoDB | Redis | FastAPI | React | Bazel | GitHub | AWS Key Responsibilities • Design, build, and operate mission-critical APIs in Python, Go, or Rust optimized for low latency, high throughput, and strong consistency., • Lead major technical initiatives, from new platform components to multi-team system redesigns., • Improve system reliability and security by implementing rate limiting, authentication, observability (metrics, tracing, logging), and automated testing., • Collaborate across teams to determine when to extend existing systems versus build new, specialized services., • Translate customer needs into scalable platform capabilities and generalized API features., • Uphold engineering excellence through design reviews, code quality, and internal documentation. Qualifications, • 5+ years of backend engineering experience with Python, Go, or Rust., • Strong understanding of high-traffic API design: versioning, schema evolution, idempotency, auth patterns, and performance tuning., • Hands-on experience running AWS services, plus fluency with Kubernetes, CI/CD, and modern DevOps practices., • Experience with LLM or natural-language APIs (latency tuning, streaming, model orchestration) is a strong plus., • Strong customer empathy and product sense, ensuring the APIs you build are ergonomic, well-documented, and easy to adopt.

Senior Software Engineer | Blockchain New York, NY About Daylight Daylight is the decentralized energy company. We're building a protocol that converts distributed solar and storage systems into yield-bearing infrastructure. These assets are deployed behind the meter in American homes and businesses, generating electricity revenues that flow onchain as a single, liquid yield token. Our ambition is to build the economic engine for energy abundance—where capital fuels power, and power fuels everything. Our team brings together energy and crypto veterans who believe in a future where communities power themselves. Backed by a16z, Framework, and other industry-leading investors, we're building the infrastructure to make that vision a reality. Learn more at The Role As a Senior Software Engineer | Blockchain at Daylight, you'll play a crucial role in developing our Django APIs and backend services that support our mobile app and partner integrations as well as designing the interactions with our smart contracts onchain. You'll build functionality that helps homeowners monitor, control, and optimize their energy usage while participating in our decentralized energy network. We're an early-stage startup, so this role goes beyond just writing code. You'll have significant input on architecture decisions, user experience, and product direction. As we scale, there will be opportunities to grow into a leadership or management position, mentoring junior developers and shaping our backend development strategy and onchain integrations. This role is ideal for someone who is passionate about crypto and clean energy, values craftsmanship in their code, and thrives in dynamic startup environments where your work has a direct impact on the product's success and the company's mission. This role is in-person in our New York City office. Responsibilities • GraphQL & REST API Development, • Design and build robust GraphQL queries and mutations that power our mobile app and are tailored for mobile performance, • Architect, develop, and maintain scalable API endpoints that support vendor/partner integrations, • Collaborate with cross-functional teams to define, design, and ship innovative features, • Continuously monitor performance and resolve bottlenecks and bugs across all endpoints, • Champion code quality, automation, and comprehensive testing practices, • CRM & Internal Tools Development, • Leverage and extend Django's admin interface to build a feature-rich internal CRM and administration portal, • Customize the Django admin site to meet evolving business and workflow needs, • Work with stakeholders to refine internal processes and drive user-friendly administrative solutions, • Smart Contract Development, • Design and implement Solidity smart contracts that underpin Daylight's decentralized energy markets, • Develop Daylight's decentralized data storage and validation layer using modern frameworks (e.g. Commonware, Snapchain L3), • Architect secure oracle flows to feed real-world energy data onchain, • Manage crosschain deployments and integrations for liquidity routing and yield pools using LayerZero, Wormhole, or similar technologies, • Technical Architecture & DevOps, • Contribute to architecture planning and drive technical design decisions that ensure scalability and security, • Optimize the application stack for maximum speed and reliability, • Embrace CI/CD methodologies and infrastructure-as-code practices to streamline deployments | Must Haves • 5+ years of experience developing APIs and backend services, • 2+ years of experience writing Solidity smart contracts, • Strong understanding of API development and best practices, • Experience with Python, Django, PostgreSQL and Redis, • Proficiency in writing clean, readable, and well-documented code, • Experience with REST APIs, GraphQL, and network request handling, • Familiarity with version control systems, particularly Git, • Knowledge of backend performance profiling and optimization techniques, • Experience with testing and managing AWS infrastructure and Kubernetes, • Familiarity with crypto and related infrastructure, specifically EVM, • Ability to work in a fast-paced environment with changing requirements, • Strong problem-solving skills and attention to detail, • Familiarity with DeFi protocols, especially stablecoins, lending markets, liquid staking, or yield optimization systems, • Experience with Celery, Django admin sites, • Experience with smart contract audits, • Experience with continuous integration and delivery processes, • Contributions to open-source projects, • Competitive salary and equity package, • Opportunity to shape a category-defining product from the ground up, • Comprehensive health, dental, and vision insurance, • Wellhub membership

Senior Software Engineer (Channels) Iterable is the leading AI-powered customer engagement platform that helps leading brands like Redfin, SeatGeek, Priceline, Calm, and Box create dynamic, individualized experiences at scale. Our platform empowers organizations to activate customer data, design seamless cross-channel interactions, and optimize engagement—all with enterprise-grade security and compliance. Today, nearly 1,200 brands across 50+ countries rely on Iterable to drive growth, deepen customer relationships, and deliver joyful customer experiences. Our success is powered by extraordinary people who bring our core values—Trust, Growth Mindset, Balance, and Humility—to life. We foster a culture of innovation, collaboration, and inclusion, where ideas are valued and individuals are empowered to do their best work. That's why we've been recognized as one of Inc's Best Workplaces and Fastest Growing Companies, and were recognized on Forbes' list of America's Best Startup Employers in 2022. Notably, Iterable has also been listed on Wealthfront's Career Launching Companies List and has held a top 10 ranking on the Top 25 Companies Where Women Want to Work. With a global presence—including offices in San Francisco, New York, Denver, London, and Lisbon, plus remote employees worldwide—we are committed to building a diverse and inclusive workplace. We welcome candidates from all backgrounds and encourage you to apply. Learn more about our story and mission on our Culture and About Us pages. Let's shape the future of customer engagement together! How you will make an impact: As a Senior Software Engineer at Iterable, you'll be responsible for the core platform used by our growing customer base. Making this platform easy to use and attractive for non-technical users is extremely important. Our Engineering team works closely with Product, Design, Infrastructure, and SRE to bring next-generation marketing solutions to our massively scalable platform. We believe in building an Engineering culture guided by our company values which you can learn more about here. You will be working with the Analytics Application team that provides accurate and actionable insights to our customers so that they can establish a clear understanding of the effectiveness of their marketing efforts. Ultimately, we help enable our customers to provide the most relevant and joyful experiences to their own users. One of our core values is a growth mindset and Iterable is a company where everyone can grow. If this is a role that excites you, please do apply as we value applicants for the skills they bring beyond a job description. You'll get to: • Own the backend of the product with a huge amount of autonomy, • Architect and develop solutions to scale a complex platform that reaches millions of users, • Collaborate with frontend, backend, product, and design to conceptualize and build new product features, • Provide direction for your team and guide standards across the Engineering organization, • Improve Engineering processes, tooling, and efficiency, • Relevant industry experience building production-ready, scalable web applications, • Proficiency in at least one modern programming language (ideally Scala and/or Java), • Experience with Elasticsearch and/or other relevant technologies such as Postgres and data pipeline systems., • Ability to facilitate discussions within your team and cross-functionally, • A desire to be part of a values-driven Engineering team, • Programming Language: Scala, • Databases: Elasticsearch, Postgres, Redis, • Infrastructure: Pulsar, Kafka, AWS, • Experience with large-scale performance testing, • Experience with data processing and advanced methodologies, • Experience with functional programming and the JVM Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others. Recruitment Disclaimer: Please be aware that Iterable, Inc. ("Iterable") and our official professional recruiting agencies and platforms do not: • Send job offers from free email services like Gmail, Yahoo mail, Hotmail, etc., • Request money, fees, or payment of any kind from prospective candidates to apply to Iterable, for employment, or for the recruitment process (e.g. for home office supplies, or training, etc.). Criminal and/or civil liabilities may arise from such actions, and Iterable expressly reserves the right to take legal action, including criminal action, against such individuals/entities whenever such phenomena occur. In any case, please note that under no circumstances shall Iterable and any of its affiliates be held liable or responsible for any claims, losses, damages, expenses or other inconvenience resulting from or in any way connected to the actions of these impostors. Iterable is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Iterable does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Iterable also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance and other similar state laws and local ordinances, and its internal policy, Iterable will also consider for employment qualified applicants with arrest and conviction records.

The Company Medal Medal is the world's largest and fastest-growing platform for gaming clips, where millions of gamers capture, share, and relive their best moments. Every year, our players record billions of clips, each representing a unique, action-packed highlight. We're building the next generation of gaming communities - social, monetized, and creator-powered. Our mission is to design products that make sharing, discovering, and connecting around gaming moments seamless and fun. We raised a seed round of $133M from General Catalyst and Khosla to discover the next generation of intelligence. The Role Medal's backend powers everything from real-time in-app communications and storage of billions of user-generated clips, to our ML-based feed and social features. We're looking for a Senior or Lead Backend Engineer to help us scale and evolve this infrastructure as we grow. In this role, you'll work closely with product, infra, and data teams to architect and build highly scalable, low-latency systems. You'll help design critical APIs, evolve our backend infrastructure, mentor other engineers, and drive technical decisions that impact millions of users. If you love building resilient systems, thinking about architecture at scale, and want to work on a product that blends gaming, content, and community - this role is for you. You Will * Design and develop backend systems and REST APIs that serve millions of users and billions of clips * Own features end-to-end: from design and architecture through implementation and deployment * Work closely with cross-functional teams across product, ML, and mobile to build cohesive experiences * Scale our systems to support growth in users, content volume, and features * Lead engineering projects, drive architectural decisions, and mentor junior and mid-level backend engineers * Help maintain our cloud infrastructure and CI/CD pipelines * Optimize databases, APIs, and services for performance, scalability, and cost * Contribute to technical strategy, roadmap, and team-wide best practices You Need * 5+ years of backend engineering experience, with significant time in production environments * Strong proficiency in Java and hands-on experience building scalable microservices * Deep understanding of RESTful API design and distributed systems * Experience with relational databases like MySQL or PostgreSQL (including performance tuning and schema design) * Experience building systems that handle thousands of requests per second * Comfort with cloud infrastructure (GCP or AWS preferred), CI/CD, and infrastructure as code * Strong grasp of system design, architectural patterns, and security best practices * Strong communication and leadership skills, with the ability to drive cross-team projects Bonus Points * Experience with Redis, RabbitMQ, or other message brokers and caching systems * Familiarity with Terraform, Docker, Kubernetes, and modern DevOps practices * Experience with observability tools and performance monitoring * Exposure to ElasticSearch, BigQuery, or other data warehouse tools * Contributions to open-source projects * A passion for games and gaming communities Our Stack * Backend: Java, Redis, RabbitMQ, Kubernetes, Terraform * Cloud: Google Cloud Platform, AWS * Frontend: Electron, React, Redux * Native: C#, C++, Swift, Kotlin * CI/CD & Infra: GitHub Actions, CircleCI, Salt, Docker Benefits * Competitive salary and meaningful equity * Comprehensive medical, dental, and vision coverage * 401(k) * Wellness and fitness perks including a Wellhub membership and mental health resources * Paid parental leave, fertility and maternal health benefits * Generous PTO policy * Daily meals and commuter benefits at our NYC HQ in Flatiron * Learning and development stipend Benefits vary by country and employment type. Why Join Us At Medal, you'll have the autonomy to make an impact from Day 1. You'll join a team that values humility, curiosity, and momentum - and you'll help shape the future of how gamers share and connect around the moments that matter most.

\ #WeAreParamount on a mission to unleash the power of content... you in? We've got the brands, we've got the stars, we've got thepowerto achieve our mission to entertain the planet - now all we're missing is... YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter - both for our audiences and our employees - and aim to leave a positive mark on culture. Overview The Data Products Team within the Data Insights Group (DIG) at Paramount Global builds the internal platforms that power how the business understands streaming performance, audience behavior, and content strategy. We own the applications, APIs, and automation systems that analysts and stakeholders rely on daily. You'll join a small team with outsized impact, working across NextJS applications, FastAPI services, and AI-powered workflows. We build and ship quickly, and the tools we create are used immediately across the organization. If you want to own products end-to-end and see your work drive decisions at scale, this is that type of role. What You'll Do • Architect and build internal web applications using NextJS and FastAPI, • Design and own backend services and REST APIs that power automation tools and AI-driven features, • Partner with data engineers to integrate BigQuery pipelines and metadata systems into user-facing products, • Drive features from concept through production, owning technical design, implementation, and reliability, • Solve ambiguous problems across the stack, balancing delivery speed with maintainability, • Mentor junior engineers through code reviews, pair programming, and technical guidance, • Define and champion engineering standards around code quality, testing, and system design, • 5+ years of software development experience building internal tools or data-driven applications, • Strong proficiency in Python and modern JavaScript/TypeScript, • Experience architecting production web applications with React or NextJS, • Experience designing and scaling REST APIs (FastAPI, or similar), • Deep knowledge with SQL and cloud data warehouses (BigQuery, Snowflake), including performance optimization, • Proven ability to own systems end-to-end: design, deployment, monitoring, and iteration, • Experience mentoring engineers and spearheading engineering standards, • Experience with workflow orchestration systems (Airflow, Prefect, Dagster) at scale, • Hands-on experience building production AI solutions, including agents, agentic workflows, and RAG systems, • Deep knowledge with LLM frameworks (LangChain, LangGraph, Google ADK) and their tradeoffs, • Experience integrating LLM APIs (OpenAI, Anthropic, Gemini) into production, including prompt engineering and cost management, • Strong background in containerization and cloud infrastructure (Docker, Kubernetes, GCP/AWS), • Background in data engineering, pipeline design, and building tooling for analysts, • Small team, direct access to stakeholders, short feedback loops. As we grow, you'll shape our technical direction and engineering culture. #LI-PG1 Paramount Streaming, a division within Paramount Global, is the home to the company's direct-to-consumer services spanning free and paid in the form of Pluto TV and Paramount+. Pluto TV is the global leader in free ad-supported TV, delivering more than 1,400 global channels and an extensive library of streaming content, including live and original channels. Paramount+, digital subscription video-on-demand and live streaming service, combines live sports, breaking news, and A Mountain of Entertainment™. Paramount+ features an expansive library of original series, hit shows and popular movies across every genre from world-renowned brands and production studios, including SHOWTIME®. ADDITIONAL INFORMATION Hiring Salary Range: $124,000.00 - 186,000.00. The hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement. This position is bonus eligible. What We Offer: • Generous paid time off., • An exciting and fulfilling opportunity to be part of one of Paramount's most dynamic teams., • Opportunities for both on-site and virtual engagement events., • Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace. At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access as a result of your disability. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to . Only messages left for this purpose will be returned. Nearest Major Market: Manhattan Nearest Secondary Market: New York City

Engineering • New York, New York • San Francisco, California • Buenos Aires, Palermo, Argentina, • In-office Apply Refer someone Apply Refer someone Profound is on a mission to help companies understand and control their AI presence. As a Backend Engineer, you will build and optimize the infrastructure that powers our AI-driven insights. You will design scalable APIs, process large datasets efficiently, and ensure high-performance systems that help businesses take control of their AI presence. What you'll do • Architect and develop high-performance backend systems that support AI-driven analytics, • Build and maintain scalable APIs to power real-time insights and data retrieval, • Optimize data processing pipelines to handle large-scale structured and unstructured data, • Ensure system security, performance, and reliability at every level of the stack, • Work closely with front-end engineers and data scientists to deliver seamless, high-impact features, • Own key technical decisions, balancing speed with long-term maintainability Who you are, • A strong portfolio or GitHub showcasing backend development expertise, • Proficient in Node.js, Python, or Rust, with experience in scalable backend architecture, • Deep understanding of databases including PostgreSQL, MySQL, or OLAP databases, and query optimization, • Experience designing efficient data pipelines and working with distributed systems, • Familiarity with cloud infrastructure such as AWS, GCP, or Azure and containerization including Docker and Kubernetes, • Strong grasp of security best practices, API authentication, and performance tuning, • Comfortable in a fast-moving, high-performance startup environment Location This is an on-site role in our NYC, SF or Buenos Aires office, designed for builders who thrive on speed, iteration, and meaningful impact. We are happy to support visa sponsorship for qualified international candidates. For this role, the expected base salary range is $140,000 to $260,000 (NYC and SF). Comp may vary based on location. Profound's total compensation package is designed to be competitive and includes base salary, equity, and a full range of benefits and perks. Final compensation will depend on factors such as your skills, experience, qualifications, and location, and will be determined during the interview process. Our recruiting team will share more details about the full compensation package and benefits as you move through hiring. #LI-DNI Note: All official communication from Profound will come from a @tryprofound.com email address. If you're contacted by anyone using a different domain, please disregard and report it as spam.

Senior AI Engineer II - Agentic AI New York, NY, United States Sunrise, FL, United States Phoenix, AZ, United States Palo Alto, CA, United States Charlotte, NC, United States (Remote) Job Description At American Express, our culture is built on a 175-year history of innovation, sharedvalues () and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. Joining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented tech teams and build a unique career with the Powerful Backing of American Express. With a range of opportunities to work with the latest technologies, and a commitment to back the broader engineering community through open source, our mission is to power your success. Because Amex Tech is powered by our technology, our culture, and our colleagues. The Technology organization enables and accelerates the company's growth strategies, delivering global capabilities and services in support of Amex's customers and colleagues, while maintaining 24/7 servicing and availability to ensure an uninterrupted, high-quality customer experience. Technology provides the foundation for everything we do in the company while driving differentiation through building and leveraging innovative technology and data insights. At American Express, AI is reshaping the future of commerce and redefining the experiences our commercial customers and card members expect. Within Amex Technology, we are building platforms, products, and governance that enable agentic AI systems to operate responsibly and at scale across the enterprise. Our focus is on agentic AI development: designing intelligent, adaptive systems that can plan, reason, and act across complex workflows with appropriate levels of autonomy. These systems power autonomous workflows, decision support, and customer-facing experiences-while meeting the high standards for security, explainability, reliability, and compliance required in financial services. We partner closely with product, design, and business teams to deliver agentic capabilities that reduce operational friction, improve decision-making, and transform how customers interact, transact, and grow. The Role As a Senior AI Engineer II - Agentic AI, you will be a core builder responsible for turning complex, ambiguous problems into production-grade agentic systems that operate on real financial data, serve real customers, and meet real regulatory requirements. You will work end to end: shaping solutions with product and design, building and shipping production code, and owning what you deliver after launch. The scope of this role spans customer-facing LLM-powered features, agentic systems that automate financial workflows, and internal AI capabilities that enable other engineers to build with AI safely and efficiently. This is not a research-only role. We are looking for engineers who are comfortable operating with autonomy, exercising sound judgment, and pushing the technical envelope within the realities of a regulated financial environment. What You'll Do * Design, build, and ship LLM-powered and agentic product features that change how customers manage their finances. * Build agentic AI systems that reason over context, invoke tools, take real actions, and recover gracefully from failure. * Architect and implement production-grade RAG pipelines over sensitive financial data, with strict requirements for correctness, auditability, and safety. * Contribute to shared AI infrastructure, including LLM services, agent orchestration frameworks, and evaluation and monitoring tooling, that scales agentic development across Amex Technology. * Own the systems you build in production, including reliability, latency, cost, and failure modes. * Work closely with product and design partners; engineers in this role are expected to think in terms of customer outcomes, not just technical execution. Technical Environment We don't hire to a narrow checklist, but candidates should be comfortable operating in a modern, enterprise-scale environment with a strong emphasis on agentic AI. Core engineering stack * Languages: Python, Go, TypeScript * Cloud and infrastructure: AWS and/or GCP, Kubernetes * APIs and services: REST, gRPC * Distributed systems: event-driven architectures, including Kafka Agentic AI and ML * Commercial and open-source LLMs integrated into agentic workflows * Tooling for agent orchestration, retrieval-augmented generation, vector storage, and evaluation * Strong schema, validation, and state management practices AI-assisted development * Fluency with AI-assisted and agentic development workflows for design, implementation, testing, debugging, and refactoring * Thoughtful use of these tools while maintaining production-quality engineering standards * All systems are built to meet high standards for reliability, security, and auditability, reflecting the responsibility of deploying autonomous AI in a financial services environment. What We're Looking For * 8+ years of software engineering experience, including meaningful production experience with LLMs or applied ML systems. * A track record of shipping AI-powered or agentic systems that real users depend on. * Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure. * Hands-on experience with modern LLM tooling and agentic patterns and architectures. * Fluency with AI-assisted and agentic development workflows. * Strong sense of ownership and sound technical judgment. * Comfort operating with ambiguity and turning it into shipped reliable product. * A strong product mindset and customer orientation. Preferred Qualifications * Experience building agentic systems in fintech or other regulated industries. * Experience as a founding engineer or early technical contributor in high-growth environments. * Demonstrated ability to ship technically complex systems in regulated contexts that customers actively rely on. * Meaningful open-source contributions, particularly in AI or developer tooling. Qualifications Salary Range: $123,000.00 to $215,250.00 annually + bonus + benefits The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors. We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: * Competitive base salaries * Bonus incentives * 6% Company Match on retirement savings plan * Free financial coaching and financial well-being support * Comprehensive medical, dental, vision, life insurance, and disability benefits * Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need * 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy * Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) * Free and confidential counseling support through our Healthy Minds program * Career development and training opportunities For a full list of Team Amex benefits, visit ourColleague Benefits Site () . American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions. We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually. US Job Seekers - Click to view the "Know Your Rights () " poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions. At American Express, our culture is built on a 175-year history of innovation, shared values () and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service. As part of Team Amex, you'll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: * Competitive base salaries * Bonus incentives * 6% Company Match on retirement savings plan * Free financial coaching and financial well-being support * Comprehensive medical, dental, vision, life insurance, and disability benefits * Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need * 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy * Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) * Free and confidential counseling support through our Healthy Minds program * Career development and training opportunities For a full list of Team Amex benefits, visit out Colleague Benefits Site () . American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions. We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually. US Job Seekers - Click to view the "Know Your Rights () " poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: . The below represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors.? Job Info * Job Identification 26002765 * Job Category Technology * Posting Date 04/17/2026, 04:00 AM * Apply Before 05/29/2026, 04:00 AM * Degree Level No Formal Education * Job Schedule Full time * Job Shift Day * Locations AMEX World Financial Center, New York, NY, 10285, US431 Waverley St, Palo Alto, CA, 94301, USAMEX 18850 North 56th Street, Phoenix, AZ, 85054, US600 South Tryon Street, Charlotte, NC, 28202, US1500 NW 136th Avenue, Sunrise, FL, 33323, US(Remote) * Salary Range $123,000.00 to $215,250.00 annually + bonus + benefits * Career Area Technology

Job Description Role: Appian Developer/Architect Location: Remote Duration: Long Term Job Summary • Technical Leadership & Enterprise Solution Design, • Appian L3 Certification must, • Lead architecture, design, and delivery of highly complex Appian BPM and Case Management solutions, • Design endtoend business process models, case flows, SLAs, audit trails, and exception handling, • Establish and enforce Appian standards, frameworks, design patterns, and best practices, • Review designs and code to ensure performance, scalability, security, and reusability Exposure to: • Appian RPA, AI Skills, IDP, • Java plugins or custom smart services, • CI/CD pipelines and DevOps integration, • Cloud deployment experience (AWS / Azure) Manoj Goud Derex Technologies INC Contact : 973-834-5005 Ext 206 Qualifications: Additional Information All your information will be kept confidential according to EEO guidelines.

Overview AWS Cloud Architect with Oracle DBA experience - Fulltime - Remote Responsibilities Extensive experience in migrating Oracle databases to the AWS cloud platform, specifically with AWS Database Migration Service (DMS), AWS Schema Conversion Tool (SCT), and Oracle Database.

Role Purpose Define enterprise data architecture standards, create data exchange and ingestion frameworks, establish data quality and governance patterns, and develop the data domain models and templates that ensure consistent, high-quality data across the organization. This role creates enterprise data patterns and frameworks, not operational data solutions. What Makes This Role Unique • Data framework architect: Design the data ingestion framework with schema validation, quality checks, and exception handling used enterprise-wide, • Data quality champion: Embed quality into frameworks at ingestion, not as afterthought, • Exchange pattern owner: Create the patterns for internal and third-party data exchange Enterprise Data Standards & Patterns (40%) • Help define enterprise data modeling standards (conceptual, logical, physical, dimensional models), • Create data domain model standards with quality framework integration, • Define data architecture patterns for common scenarios (OLTP, OLAP, streaming, hybrid), • Document data persistence patterns (SQL vs NoSQL selection, data lake vs warehouse, caching), • Create master data management patterns and reference data standards Design enterprise data ingestion framework: • Central pipeline architecture for all data ingestion (batch, streaming, real-time), • Schema validation framework (enforce schemas at ingestion, schema registry), • Data quality validation framework integrated into pipeline (completeness, accuracy, consistency, timeliness), • Exception handling framework (quarantine, alerts, remediation workflows), • Internal system-to-system data sharing, • Third-party data exchange (inbound/outbound): SFTP/API patterns, data format standards, partner onboarding templates, data contract templates, • Define data integration patterns (ETL, ELT, streaming, CDC, data virtualization), • Create enterprise data quality framework (quality dimensions, metrics, rules by domain, monitoring, remediation), • Define data governance patterns (stewardship model, cataloging standards, metadata management, lineage and impact analysis), • Establish data privacy and protection patterns (PII handling, encryption, masking, tokenization), • Develop enterprise data architecture modernization roadmap, • Train solution architects on data patterns and frameworks, • Review solution architectures for data pattern compliance, • Coordinate with Data Platform Enablement team on platform capabilities vs patterns Education: • 12+ years in data architecture, data engineering, or enterprise architecture, • 5+ years creating enterprise data standards, frameworks, and patterns, • Proven experience designing data ingestion frameworks with quality and governance, • Experience with data exchange patterns for internal and external parties, • TOGAF certification, • Cloud data platform certification (AWS Data Analytics, Azure Data Engineer, Google Cloud Data Engineer), • DAMA CDMP (Certified Data Management Professional), • Data governance certification Required Technical Skills Skill Category Required Skills Proficiency Level Data Standards Data modeling standards (conceptual, logical, physical) Expert Data Standards Canonical data model design Expert Data Standards Data domain modeling Expert Data Ingestion Framework Central pipeline architecture Expert Data Ingestion Framework Schema validation framework Expert Data Ingestion Framework Data quality framework integration Expert Data Ingestion Framework Exception handling framework Advanced Data Exchange Patterns Internal data exchange patterns Expert Data Exchange Patterns Third-party data exchange patterns Expert Data Exchange Patterns Data contract templates Advanced Data Quality Framework Quality dimensions and metrics Expert Data Quality Framework Quality validation rules Advanced Data Governance Data governance frameworks Advanced Data Governance Data cataloging standards Advanced Data Governance Data lineage patterns Advanced Platform Knowledge Cloud data platforms (AWS, Azure, GCP) Advanced Platform Knowledge Data lake and warehouse patterns Expert Platform Knowledge Data pipeline patterns Advanced Preferred Qualifications • Experience in healthcare or financial services with complex data exchange requirements, • Track record implementing data quality frameworks at enterprise scale, • Experience with third-party data exchange and partner onboarding, • Published thought leadership on data architecture or data quality, • Data quality validation pass rate >95% through ingestion framework, • Onboard 10+ data sources to central ingestion framework, • Establish data exchange patterns adopted by 80%+ of new integrations, • Canonical model coverage for 15+ core enterprise entities, • Data ingestion framework with schema validation, quality checks, exception handling, • Data exchange patterns for internal and third-party data, • Data quality framework integrated with domain models, • Data governance patterns and templates, • Data integration pattern library, • Data architecture reference architectures Key Partnerships: • Data Platform Enablement team (they operate platform, you create patterns), • Solution architects (apply data patterns), • Data stewards and data governance council, • Integration Architect (data exchange patterns), • Architecture Review Board (bi-weekly), • Data governance forums Our Enterprise Architecture team operates on principles of collaboration, excellence, and innovation: • Pattern-first mindset: We create reusable blueprints that enable consistency and quality, • Partnership model: We work alongside operational teams (App Dev, Data Platform, Infrastructure, InfoSec) as strategic partners, • Continuous improvement: Patterns evolve based on feedback from implementation

A prominent IT consulting firm is seeking an experienced AWS Cloud Architect with extensive Oracle DBA experience for a full-time remote position. The ideal candidate will have over 10 years of experience in Oracle database administration and proven expertise in migrating Oracle databases to AWS usi

Skills / Experience 5+ years experience in AWS AWS professional and/or specialty certification, such as Solutions Architect, DevOps Engineer Experience in implementing Secure Architectures for private and/or public internet facing systems Strong understanding of cloud computing concepts, infrastruct

Skills / Experience 5+ years experience in AWS, AWS professional and/or specialty certification, such as Solutions Architect, DevOps Engineer.

About Townhouse Partners Townhouse Partners is a leading commercial real estate due diligence and advisory firm trusted by lenders, investors, and owners nationwide. Founded in 2009, we built our reputation by delivering clear, rigorous analysis and by showing up as true partners on complex, high-stakes transactions. Today, we work across all major asset types throughout the U.S. and operate on both the debt and equity sides of the market. We provide due diligence, advisory, and research services to investors who need clarity, speed, and an edge in decision-making. Our work is grounded in proprietary financial modeling, experienced project management, and best-in-practice underwriting standards. Townhouse Partners has successfully advised on billions of dollars in property value and loan underwriting across the real estate landscape. In 2025, we have analyzed more than half of all annual CMBS issuances and, across all execution types, have supported over $90 billion in transactional volume. Our edge is simple: smart people, high standards, and a culture that values accountability, collaboration, and continuous improvement. We are client-centric, results-driven, and forward-thinking, and we take pride in work that directly influences major investment decisions. If you are looking to do meaningful work in a firm where judgment, integrity, and impact matter, Townhouse Partners is a place to build and grow. This role sits at the center of how the firm operates and grows. You will own the technology vision end to end, shaping the systems that power critical business decisions while staying close to the work through hands-on development. We are looking for a builder and a leader who can turn strategy into execution and make results happen. We are seeking an exceptional technology leader who combines strategic vision with hands-on technical expertise. This role requires someone who can architect solutions, lead teams, and roll up their sleeves to write code. The ideal candidate brings both leadership experience and a passion for building great software to address complex business challenges. Responsibilities: Technical Leadership • Define and execute the technology strategy and roadmap aligned with business objectives, • Architect scalable, secure, and maintainable systems across the technology stack, • Make critical technology decisions on frameworks, platforms, and infrastructure, • Establish and enforce engineering best practices, coding standards, and development methodologies, • Contribute to critical features and technical initiatives through direct coding, • Conduct code reviews and provide technical mentorship to engineering teams, • Troubleshoot complex technical issues and production incidents, • Build, mentor, and grow a high-performing engineering team, • Foster a culture of collaboration, continuous learning, and technical excellence, • Conduct performance reviews, career development planning, and technical coaching, • Recruit top technical talent and establish effective hiring processes, • Partner with product, design, and business stakeholders to translate requirements into technical solutions, • Communicate complex technical concepts to non-technical audiences, • Manage vendor relationships and evaluate third-party solutions, • 10+ years of software development experience with modern programming languages (Python, Java, JavaScript/TypeScript, Go, or similar), • Deep understanding of system architecture, design patterns, and software engineering principles, • Experience with cloud platforms (AWS, Azure, or GCP) and modern infrastructure practices, • Strong knowledge of databases (SQL and NoSQL), APIs, and distributed systems, • Proficiency with CI/CD, DevOps practices, and modern development tools Leadership Experience:, • 5+ years leading engineering teams preferred but not required, • Proven track record of delivering complex projects on time and within budget, • Experience scaling engineering organizations and establishing technical processes, • Demonstrated ability to balance strategic planning with tactical execution Professional Skills:, • Excellent communication and interpersonal skills, • Strong problem-solving abilities and analytical thinking, • Experience with agile methodologies and iterative development, • Ability to thrive in fast-paced, dynamic environments, • Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience) Preferred Qualifications:, • Commercial real estate or property technology experience, • Understanding of property management, leasing workflows, facility operations, or PropTech solutions, • Experience with machine learning, data engineering, or AI technologies, • Knowledge of security and compliance frameworks (SOC 2, GDPR, etc.) What We Offer, • Competitive salary, • Comprehensive health, dental, and vision insurance, • Professional development budget and conference attendance

The mission () of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. About the Role, Mission or Department Overview The New AI Products and Platforms mission is a central hub for new, high-ambition AI opportunities and services at The Times. We are hiring a Senior Software Engineer to help build the backend services and infrastructure that will form our internal AI Platform. This platform will enable teams across the company to build, deploy, and manage applications that use large language models (LLMs) to advance our journalism and our business. You will report to the Director of AI Platforms and work with a team of engineers, designers, product and project managers, data scientists, and newsroom stakeholders to make investments in AI possible across The Times. This is a hybrid position based in our New York City headquarters. You can typically expect to come into the office two days per week. Responsibilities: * Design, build, and maintain scalable and reliable backend services and APIs for a central platform used by teams building AI applications across our journalism and our business. * Take ownership of core platform components and integrations, including systems for prompt and workflow management, evaluation and tracing, and monitoring for cost, usage, and performance. * Build and operate vector database and retrieval infrastructure to support search and AI-powered discovery experiences. * Design and develop retrieval-augmented generation (RAG) pipelines and agentic workflows that connect our content, data, and AI models. * Build orchestration layers for multi-step AI workflows, managing the coordination of LLM calls, retrieval, and business logic. * Develop the infrastructure that enables teams to create and manage their AI applications, complete with metadata, observability, and access controls. * Architect and implement data pipelines and storage solutions to support our AI systems. * Write high-quality, maintainable, and well-tested code, primarily in backend languages like Python or Go. * Ensure a high degree of code quality, security, and system observability. * Collaborate with editorial, product, ML, and data teams to translate requirements into platform capabilities. * Review code written by other software engineers on the team and provide feedback. * Contribute to and advocate for robust testing strategies to ensure service reliability. * Be a mentor to other software engineers to enable their growth. * Demonstrate support and understanding of our value of journalistic independence () and a strong commitment to our mission to seek the truth and help people understand the world. Basic Qualifications: * 5+ years of software engineering experience, with a strong focus on backend development. * 5+ years of experience in one or more backend programming languages such as Python or Go. * 5+ years of experience designing, building, and operating distributed systems and APIs at scale. * 1+ years of experience building applications with Large Language Models (LLMs) and familiarity with the surrounding ecosystem (e.g., orchestration, retrieval-augmented generation). Preferred Qualifications: * Experience with MLOps, including building systems for model and prompt evaluation, tracing, and monitoring. * Experience with vector databases and embedding models or services. * Experience with information retrieval or search systems. * Experience building RAG systems or agentic AI workflows. * Experience with prompt engineering and prompt management systems. * Familiarity with containerization and orchestration technologies like Docker and Kubernetes. * Experience with infrastructure as code (e.g., Terraform, CloudFormation). * Deep experience with cloud computing platforms like GCP or AWS and their associated services (e.g., Cloud Functions, S3, RDS). * Experience with event-driven architectures and technologies such as Kafka or Pub/Sub. * Familiarity with LLM orchestration and agentic frameworks. * Experience with GraphQL. This role requires limited on-call hours. An on-call schedule will be determined when you join, taking into account team size and other variables. #LI-Hybrid REQ-019837 The annual base pay range for this role is between: $140,000 — $160,000 USD For roles in the U.S., dependent on your role, you may be eligible for variable pay, such as an annual bonus and restricted stock. Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs. For roles outside of the U.S., information on benefits will be provided during the interview process. The New York Times Company is committed to being the world’s best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply. We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)’s Know Your Rights Poster is available here () . The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email . Emails sent for unrelated issues, such as following up on an application, will not receive a response. The Company encourages those with criminal histories to apply, and will consider their applications in a manner consistent with applicable "Fair Chance" laws, including but not limited to the NYC Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For information about The New York Times' privacy practices for job applicants click here () . Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through The New York Times careers site () . The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times. If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at . You can also file a report with the Federal Trade Commission () or your state attorney general () .

Established company, that is innovating the preventive healthcare space seeks a Principal Software Architect with expertise in event-driven, service-oriented systems! This Jobot Job is hosted by: Rachel Hilton Berry Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $175,000 - $225,000 per year A bit about us: We are seeking a highly skilled and passionate Principal Software Engineer to join our dynamic team in the healthcare industry. This is an excellent opportunity to make a significant impact in a fast-growing, innovative company that is committed to improving patient care through technology. As a Principal Architect, you will be responsible for leading, building, and maintaining cloud and web applications that are critical to our operations and patient care. You will work closely with a team of developers, designers, and product managers to deliver high-quality software solutions that meet our business needs. Why join us? • Innovative health screening company., • Looking to innovative with AI., • Stable company with 25+ years in the making., • Remote work. Job Details We’re looking for someone with conviction—clear technical vision, confident decision-making, and the ability to inspire teams toward bold, forward-thinking solutions. You thrive in ambiguity, take initiative, and bring creative solutions to complex challenges. You’re resourceful, collaborative, energized by change and thrive in a culture built on agility, experimentation, and big ideas. Responsibilities: • Define and drive backend architecture using patterns such as event-sourced systems, event stores, and domain-driven design to ensure traceability, modularity, and scalability., • Architect event-driven systems using Amazon EventBridge to enable decoupled service communication and real-time responsiveness across distributed applications., • Lead AWS cloud engineering from design through delivery, aligning infrastructure with product and business needs., • 10+ years of software development experience, including 5+ years in senior technical leadership roles, • Proven success architecting and developing backend systems for high-volume, distributed applications, • Deep expertise in AWS cloud architecture, including hands-on experience with AWS CDK, serverless design, and cloud-native patterns, • Experience designing and implementing event-sourced systems and event stores for traceability and auditability, • Strong background in CI/CD pipelines, Infrastructure as Code, and DevOps best practices, • Proficiency in JavaScript/TypeScript, Node.js, React, and GraphQL, • Familiarity with Apollo Federation, domain-driven design and modular front-end architectures, • Hands-on experience with observability tools such as AWS CloudWatch and AWS X-Ray, with a focus on reliability and incident response, • Demonstrated ability to mentor engineers, lead cross-functional initiatives, and drive technical strategy, • Strong communication and stakeholder management skills, • Advocacy for AI-assisted engineering practices, driving adoption and responsible integration, • Experience in startup or high-growth tech environments preferred 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. 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Amazon Web Services (AWS) is hiring a Solutions Architect in New York to lead the development of AI-driven enablement systems.

A leading cloud computing company is seeking a skilled Senior Delivery Consultant to join their Cloud Security team in New York. The role includes designing and implementing security solutions, leading teams of consultants, and building strong customer relationships. Candidates should have over 5 ye