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The Cloud Systems Engineer is an integral part of the Chobani IT Infrastructure team, supporting both cloud and on-premise environments for the business. The role emphasizes expertise in IaaS platforms and Microsoft 365. This position will focus on ensuring system performance, security, and reliability, while collaborating with cross-functional teams to align systems with business requirements. • Design, implement, and manage scalable cloud infrastructure in Microsoft Azure, including Virtual Machines, App Services, and Azure Kubernetes Service (AKS)., • Develop and manage API integrations, enabling seamless communication between cloud service an applications., • Administer and optimize Microsoft 365 services, including Exchange Online, SharePoint Online, OneDrive, Teams, and the Power Platform., • Managing identities: Azure Entra ID user/group provisioning, hybrid identity setups with Azure AD Connect, and single sign-on (SSO)., • Ensure robust security and compliance in Azure through proper configuration of Azure AD, Key Vault, NSGs, and Azure Security Center., • Configure and maintain cloud-based disaster recovery and backup solutions, such as Azure Backup and Site Recovery., • Monitor, troubleshoot, and optimize cloud performance using tools like Azure Monitor, Log Analytics, and Application Insights., • Manage and maintain VMware environments, including ESXi hosts, vCenter, and virtualized workloads., • Administer and support Windows Server environments, including Active Directory, DNS, DHCP, and file/print services., • Oversee backup and recovery operations for on-premises infrastructure using tools such as Veeam, Commvault, or similar., • Monitor and manage storage systems, including SAN, NAS, and direct-attached storage., • Perform routine server maintenance, patching, and hardware troubleshooting., • Configure and monitor email security protocols (SPF, DKIM, DMARC) and email gateway solutions to protect against phishing and spam., • Collaborate with security teams to maintain a Zero Trust Architecture across all systems., • Automate repetitive tasks and deployments using PowerShell, Python or other scripting languages., • Leverage Infrastructure as Code (IaC) tools such as Terraform, Bicep, or ARM templates for cloud deployments., • Collaborate with cross-functional teams to ensure systems meet business requirements., • Provide Tier 3 support for escalated incidents related to cloud or on-premises infrastructure., • 5 + years maintaining and operating Microsoft Azure or AWS and Microsoft 365 environments, including administration, automation, and optimization., • 5 + years of Windows Server administration, including Active Directory, DNS, DHCP, and Group Policy., • Proficiency in managing and troubleshooting VMware infrastructure., • Experience with backup and recovery tools like Veeam, Commvault, or similar., • Solid understanding of networking fundamentals, including VPNs, DNS, and firewalls., • Advanced scripting and automation skills using PowerShell or Python, • Experience configuring and managing email security protocols (SPF, DKIM, DMARC) and hybrid mail flow., • Familiarity with containerization and AKS (or other Kubernetes solutions)., • Familiarity with SQL database architectures., • Knowledge of storage systems (SAN, NAS) and performance optimization. Chobani uses food as a force for good in the world - putting humanity first in everything it does. The company's philanthropic efforts prioritize giving back to its communities and beyond. Chobani manufactures its products inNew York,Idaho,MichiganandAustralia, and its products are available throughoutNorth Americaand distributed inAustraliaand other select markets. For more information, please visit___ or follow us on Facebook, Twitter, Instagram and LinkedIn. Chobani is an equal opportunity employer. Chobani will not discriminate against any applicant for employment on any basis including, but not limited to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, military and/or veteran status, marital status, predisposing genetic characteristics and genetic information, or any other classification protected by federal, state, and local laws. The salary range for this full-time position is $94,000.00 - $147,950.00, + bonus + equity + benefits. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Chobani provides a comprehensive benefits package, including medical, dental, vision coverage, disability insurance, health savings account, flexible spending accounts, and tuition reimbursement. To help save for the future, all employees are eligible for a 401k match of 100% on up to 5% of eligible pay. To support growing families, we provide fertility and childcare assistance, and 12 weeks of parental leave at full pay after six months of continuous employment. In addition, we provide wellness resources which include an employee assistance program, fitness discounts, a wellness reimbursement, on-site gym access (certain locations) and a monthly wellness newsletter to connect you with resources and timely information. We offer various types of paid time of including: 120 hours of paid time off, 11 holidays, and paid volunteer time off.

Senior AI/ML Engineer Cooley is seeking a Senior AI/ML Engineer to join the Practice Engineering team. Position summary: As a leading technology law firm, Cooley is determined to become a leader in the digital practice of law. Cooley Innovation embraces a culture of customer service excellence, and all members of the department are expected to advance this mission. To that end, the Artificial Intelligence/ Machine Learning Engineer will play a key role in building, deploying, and operating enterprise scale Artificial Intelligence (AI) and Machine Learning (ML) solutions across Azure, AWS, and other cloud and hybrid platforms. This role is highly hands on and execution focused, combining strong software engineering practices with applied AI and ML expertise to deliver secure, scalable, and high performing solutions that support the firm's business and technology objectives. Specific duties and responsibilities include, but are not limited to, the following: Position responsibilities: • Design, build, and maintain production grade AI and ML solutions across Azure, AWS, and other cloud platforms, • Implement end to end AI application pipelines including data ingestion, prompt engineering, evaluation, deployment, and monitoring, • Collaborate closely with engineering, data, and business teams to translate requirements into practical AI and ML implementations, • Write high quality, scalable, and maintainable code for AI and ML workloads, • Optimize performance, reliability, and cost efficiency of cloud based AI and ML services, • Integrate AI and ML solutions with enterprise data platforms such as data lakes, data warehouses, APIs, and streaming systems, • Support AI solution lifecycle management including versioning, prompt iteration, evaluation, and production support, • Apply security, compliance, and data privacy best practices in all AI and ML implementations, • Contribute to technical design discussions and provide guidance on AI and ML implementation patterns, • Stay current with advancements in AI, ML, and cloud technologies and apply them pragmatically, • All other duties as assigned or required Skills and experience: Required: • After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications, • Ability to work extended and/or weekend hours, as required, • Ability to travel, as required, • 5+ years directly applicable experience (e.g., building and deploying AI and ML solutions), • Hands on experience developing AI and ML solutions on Azure and or AWS, • Strong proficiency in Python for building and operating LLM-powered applications and agentic workflows, • Experience integrating LLM applications with enterprise data sources, APIs, and retrieval systems (RAG), • Hands on experience building agentic and LLM-powered applications using frameworks such as LangChain, LangSmith, Pydantic AI, or similar orchestration and observability tooling, • Bachelor's degree in Computer Science, Engineering, Information Systems or related discipline Competencies: • Excellent oral and written communications skills, including technical and user documentation writing, • Strong analytical, problem solving, critical thinking and implementation skills, • Professional demeanor, • Excellent attention to detail, follow-up, organizational and communications skills, • Ability to work independently and under pressure, • Ability to solve problems independently and simultaneously, • Entrepreneurial by nature, • Ability to organize, prioritize and coordinate multiple activities often under tight timelines, • Ability to drive projects to completion and achieve goals, • Strong judgment, • Team-player with collaborative spirit, • Unwavering ability to handle and maintain confidentiality regarding firm information, projects,, • client data, • High level of professionalism at all times, • Effective presentation skills Cooley offers a competitive compensation and excellent benefits package and is committed to fair and equitable employment practices. EOE. The expected annual pay range for this position with a full-time schedule is $145,000 - $210,000. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate. We offer a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, long-term care coverage, backup care for children and/or adults and other parental support benefits. In addition to elective benefit options, benefited employees receive firm-paid life insurance, AD&D, LTD, short term medical benefits as well as 21 days of Paid Time Off ("PTO") and 10 paid holidays each year. We provide generous parental leave and fertility benefits. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.

Remesh - San Francisco, New York City or Remote (must be in the United States) Full-time 10 to 50 employees · Internet Originally posted March 05, 2026; this is a 100% remote, full-time role Remesh Operates on a 4 Day Work Week (4DWW) About Us! Remesh was founded in 2014, with a mission to build a platform that can help people truly understand each other — whether that's consumers, employees, or constituents. To date, we have raised over $65 million to execute this mission. We are excited to be disrupting the $70+ billion insights industry. Remesh allows you to have a live conversation with your audience at scale, using AI to analyze and organize their responses in real-time. Through this process, our customers are able to quickly draw out actionable insights as they engage hundreds of participants simultaneously. As a result, customers are able to gain fast, frequent, and efficient insights and make decisions with confidence. About the Role As a Software Engineer at Remesh, you will be scaling a revolutionary means of communication and helping to change the way we understand people. You will build, maintain, and test new and existing features using modern AI-assisted development workflows. You will be working with a cross-functional team of product managers and engineers (also at times, our Go-to-market teams) to improve existing features, build new ones, and scale our platform to serve more users and use-cases. We are transitioning to an AI-first development workflow, leveraging tools like Claude Code, Cursor, and similar AI coding assistants to accelerate development and improve code quality. The successful candidate will be comfortable working alongside AI tools, have experience with or enthusiasm for AI-assisted development, but absolutely needs to possess strong critical thinking, problem-solving, and reasoning skills. • Writing, maintaining, and testing code, • Leveraging LLMs and AI coding assistants to accelerate development velocity while maintaining high code quality standards, • Identifying and resolving issues, bugs, and requests efficiently with AI-augmented debugging and analysis, • Collaborating with product managers and designers to build engaging features for our users, • Collaborating with your team to design, develop, and maintain scalable, robust, and efficient software solutions which will leverage 3rd party APIs (e.g. LLMs) into our product to provide our customers with new and exciting features, • Building and integrating AI agents and agentic workflows into our platform and development processes, • Supporting our internal teams with engineering expertise, • Collaborating with other engineers to improve our codebase and the architecture and systems supporting it, • Contributing to and refining our AI-first development practices and tooling, • Working with other engineers to build complex features, • 3-5 years of professional software development experience, • 3+ years of proficiency in JavaScript or TypeScript, • 2+ years of proficiency in one of the following: Python, Ruby, Java, Go, or Rust, • Experience with AI-assisted development tools (Claude Code, Cursor, GitHub Copilot, OpenAI Codex, or similar), • Ability to effectively prompt and collaborate with LLMs to accelerate development, • 2+ years of experience with common web technologies, frameworks, and paradigms, • 2+ years of experience applying fundamental software engineering concepts, conventions, and best practices, • 2+ years of experience with unit tests and testing best practices, • Strong critical thinking skills to evaluate and refine AI-generated code, • Experience developing on one of the following cloud platforms: Google Cloud Platform, AWS, Azure, • 5+ years of professional software development experience, • Experience building, deploying, or integrating AI agents and agentic systems, • Experience with Python and Django, • Experience with Kubernetes and Docker, • Experience with React, • Understanding of RAG (Retrieval-Augmented Generation) patterns and vector databases, • Four Day Work Week (4DWW), • Sabbatical Leave Available, • Medical/dental/vision coverage, • Work from anywhere in the US!, • Remesh Equity, • 401k Retirement Plan, • $500 one-time use work from home allowance (WFH), • $150 monthly stipend WFH stipend, • 28 days of PTO annually, • $150K USD to $170K USD

Blenderbox is now hiring a Senior .NET Software Engineer (Contract) with expert level competence in .NET 6 (Core), .NET MVC Framework, .NET Web API, SQL, LINQ, API development and React. You will be responsible for driving development of our .NET software products designed for our higher education and government clients. The majority of your work will be focused on back-end engineering, code reviews, with occasional front-end engineering. This is a remote US-based contract (1099) position. Initial term of engagement 3-6 month with an opportunity to extend. Full time engagement may be considered for the right candidate. Cross-functional collaboration is key at Blenderbox. The proper candidate must be well accomplished and able to thrive working within agile, cross-functional teams and proactively contribute subject matter expertise. You will be working with talented people that are forward-thinking and compassionate. • Integrate functional, technical, and business requirements into efficient and scalable software designs, • Collaborate with UX / UI Designers and advise on technical feasibility of proposed design approaches., • Compose and maintain detailed technical specifications., • Groom project backlog, coordinate execution with other team members and oversee the quality of deliverables, • Solve technical challenges using available open source software and follow modern engineering best practices., • Write secure, performant, maintainable and testable code., • Proactively raise and help resolve issues throughout the software product lifecycle., • Contribute technical expertise in client meetings and communications., • Proactively and clearly communicate technical risks and tradeoffs to both technical and non-technical stakeholders., • 4+ years experience with .NET 6 (Core), .NET MVC Framework, LINQ, SQL, • Proficiency with front-end, JavaScript, React, CSS, • Experience with REST, APIs, JSON, decoupling techniques, • Experience with Swagger is preferred, • Experience writing middleware, • Experience with Azure Cloud, CI/CD, • Working knowledge of software security and performance optimization principles, • Ability to work in an agile, fast-paced, deadline-driven environment with cross-functional teams, • Ability to troubleshoot technical issues, • Excellent written and oral communication skills, • US Citizen or authorized to work in the United States Contractual terms are subject to review of qualifications and negotiable. Blenderbox is a values-based virtual agency with subject matter experts distributed around the United States with headquarters in New York City. We have over 20 years of experience building websites and applications for mission-driven organizations, primarily for nonprofit, educational, and governmental organizations. Our culture is one of inclusion, transparency and pride. Our team works cross-functionally and collaboratively on a diversity of projects that are reflective of our shared core values.

Company OverviewResolveGrid is a recently funded startup building a next-generation SaaS platform focused on solving complex, real-world problems using modern software and AI. We are assembling a small, highly talented AI-first engineering team where engineers have meaningful ownership and influence from day one. Role OverviewWe are seeking a Founding Senior Full Stack Software Engineer with 10+ years of professional experience to help design, build, and scale ResolveGrid’s core SaaS platform. This is a hands-on role for someone who thrives in early-stage environments, takes end-to-end ownership, and actively uses AI as a core part of their development workflow. You will work across the entire stack—backend, frontend, and AI-powered capabilities—while helping define the technical direction and engineering culture of the company. Candidates must be based in Orange County, CA or willing to relocate and commute regularly to Irvine. • Act as a founding engineer, shaping architecture, engineering standards, and best practices., • Design, build, and maintain end-to-end features across the ResolveGrid SaaS platform., • Develop and operate backend services using Node.js with TypeScript/JavaScript., • Build and evolve frontend application flows using modern JavaScript/TypeScript frameworks., • Write and maintain Python services and supporting tools., • Design and implement AI-powered features, including: Chat agents and autonomous agents, Context management and memory strategies, Prompt engineering, evaluation, and iteration, and Agent workflows and orchestration., • Use AI coding agents (e.g., Cursor, Windsurf, Claude) as a first-class part of daily development., • Make architectural decisions with scalability, reliability, and maintainability in mind., • Collaborate closely with product and leadership on roadmap and execution., • Debug production issues and continuously improve system performance and reliability., • Mentor and help grow the engineering team over time., • 7+ years of professional software engineering experience., • Strong expertise in TypeScript/JavaScript and Node.js., • Proven experience building and operating SaaS platforms., • Solid production experience with Python., • Hands-on experience building AI-driven systems, including LLM-based chat or agent workflows., • Practical knowledge of prompt engineering, context/window management, and agent design patterns., • Demonstrated experience using AI coding agents (e.g., Cursor, Windsurf, Claude)., • Experience deploying and operating systems on AWS, GCP, or Azure., • Strong understanding of system design, APIs, and distributed systems., • Comfortable operating with ambiguity and high ownership in an early-stage startup., • Ability to work regularly from Irvine, CA (Orange County)., • Experience scaling early-stage or recently funded products., • Familiarity with vector databases, embeddings, and RAG architectures., • Experience with security, authentication, and multi-tenant SaaS systems., • Prior founding or early startup experience., • Be a founding engineer with real ownership and influence., • Join an AI-first, high-caliber engineering team that treats AI as a force multiplier., • Build production-grade AI systems with real customer impact., • Competitive compensation including meaningful equity., • Opportunity to grow into technical leadership as the company scales.#LI-DNI #LI-RemoteWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Join the fastest growing Data engineering solutions company! This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $220,000 per year A bit about us: This is one of Jobot's best clients, and a company that has been growing by over 100% year over year for the last 7 years. They are continuing to grow! This company is focused on offering top tier consulting services to enterprise companies that are trying to better utilize their data. Why join us? Join us for the variety of work, the opportunity to interface with some of the top companies in the world, and ability to build creative solutions to challenging problems. Job Details Must be a talented data engineer! Ideally you come from some soft of consulting or client facing background, this may include internal customers! Hands on engineering experience a must. This includes the following: 1. Snowflake or Databricks engineering, 2. Deep understanding of AWS or Azure or GCP, 3. Code bases written in Python, Scala and or Java, 4. Most important? Clear and concise communication skills, you must be able to sit in front of a client, and be engaging, and speak with non-technical stakeholders. This company will not be able to sponsor or transfer visas. If interested, please apply, or feel free to message directly. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

Platform Engineer (Full-Stack / Orchestration Platform) Location: New York, NY (Hybrid or Remote) Compensation: $150,000 – $200,000 + Equity (0.25% – 0.5%) Industry: AI • Manufacturing • Logistics Headquarters: NYC About the Company Our client is a rapidly growing AI technology company collaborating with major global enterprises to solve high-impact operational challenges across manufacturing, logistics, and construction. Their mission is to build intelligent systems that simplify complexity — combining enterprise-grade infrastructure with cutting-edge AI to power the next generation of automation platforms. About the Role We're looking for a Platform Engineer with strong full-stack development expertise to help build and scale a powerful orchestration platform. This system allows enterprise users to visually design, automate, and execute sophisticated workflows powered by AI-driven logic and real-time data. You'll work on both the backend architecture and frontend experience, building highly performant, secure, and distributed systems that enable seamless process automation at scale. Key Responsibilities • Build and enhance a visual workflow orchestration platform for mission-critical enterprise operations., • Develop robust backend services using Go, Gin, PostgreSQL, and Redis, with a focus on scalability and performance., • Implement job scheduling, event-driven workflows, and real-time data handling across multi-cloud environments., • Design and maintain modern web interfaces using Next.js and TypeScript., • Drive reliability and resilience through security-first development, high availability, and observability best practices. What You'll Bring • Strong background in full-stack engineering, with proficiency in Go, TypeScript, React, and modern web frameworks., • Experience building distributed systems, working with PostgreSQL, Redis, and major cloud providers (AWS, GCP, or Azure)., • Familiarity with Docker, CI/CD automation, and infrastructure as code workflows., • Curiosity and hands-on experience in AI-enabled applications, workflow automation, and LLM integrations., • Exposure to vector databases, visual programming tools, or real-time orchestration engines is a plus. Go, TypeScript, React, Next.js, PostgreSQL, Redis, Docker, CI/CD, Cloud Platforms (AWS/GCP/Azure) Why You'll Love This Role You'll be joining a small, agile team at an AI-first company that's already raised $4M in funding. Here, your work directly shapes the technology used by top-tier enterprises every day. If you enjoy solving deep technical problems, building scalable systems, and pushing the boundaries of automation — this is the opportunity to make an impact. TopTech Talent is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws. Third-party recruiters, please do not reach out for this role.

Zscaler Platform Engineer Location: O’Fallon MO – Onsite Duration: Full Time / Contract The Zscaler Platform Engineer designs, integrates, and operates Zscaler’s cloud security services as core components of the enterprise platform. The role ensures ZIA, ZPA, and ZDX are fully embedded into identity, network, cloud, and endpoint management systems, enabling scalable and secure Zero Trust connectivity. Key Responsibilities: • Integrate Zscaler services (ZIA, ZPA, ZDX, ZCC) into enterprise identity, device, cloud, and security platforms., • Design scalable architectures for App Connectors, Branch Connectors, and Service Edges., • Automate Zscaler configuration, policy workflows, and onboarding processes., • Build reusable modules and patterns enabling self-service secure connectivity., • Maintain, optimize, and monitor performance, traffic flow, authentication, and security events., • Troubleshoot distributed issues across networking, DNS, SSL inspection, and identity layers., • Enforce enterprise security policies and support Zero Trust initiatives., • Develop documentation such as SOPs, architecture diagrams, and configuration standards., • Collaborate with Network, Security, Cloud, and Platform Engineering teams., • Hands-on expertise with ZIA, ZPA, ZDX, ZCC, App Connectors, and Branch Connectors., • Strong networking fundamentals: TCP/IP, DNS, HTTP/S, routing, VPN, NAT, IPSec., • Experience integrating Zscaler with Azure AD, Conditional Access, and SAML., • Familiarity with AWS, Azure, and GCP architectures., • Experience with SIEM, SSL inspection, proxy chaining, and security analytics., • Automation experience with PowerShell, Python, or Bash., • Bachelor’s degree in Cybersecurity, IT, Engineering, or equivalent experience., • 3–8 years of network or security engineering experience., • 2+ years hands-on experience with Zscaler deployments.

Senior Software Engineer Striveworks is a leader in Machine Learning Operations for highly regulated industries such as the Department of Defense/U.S. Military. They enable their customers to extract actionable insight from their data at the point of collection and indefinitely in the future with the help of AI/Machine Learning. The product they offer allows their clients to monitor, manage, integrate, visualize, export, and analyze their data to inform decisions and streamline business. They are looking to double the team that they have currently of about 60 employees over the next year. They are a startup, and this is a very unique opportunity to join the team in their fastest growing stages. Location: Austin, TX and NYC (two openings) Salary: 200K-275K Bonus: annual and performance based 401K Match: n/a Benefits: Equity - Owners have a history of another startup that turned to IPO in 5 years. The company offers a generous equity plan to be a stakeholder and participate in the company's success. Position Summary As a Senior Software Engineer at Striveworks, you'll be challenged - and trusted - on day one to be a core contributor to the projects and direction of the company. You will be helping to develop data storage and streaming features, tooling, and automation for their next generation MLOps platform. You will be rapidly prototyping and delivering proofs of concept for customers. You will work alongside a team of Data Scientists to integrate their work into functional products. Requirements • 5+ years of relevant experience, • Proficiency with Python (most important) and Golang, • Strong SQL skills, • Comfortability with Docker and Kubernetes, • Typescript experience, • Experience with public (AWS, GCP, Azure) and/or private (OpenStack) clouds, • Hadoop, Hive, or Spark experience

Senior Software Engineer (Agentic AI / Healthcare) Location: New York, NY (Manhattan), Hybrid (3 days onsite) Compensation: $150,000–$250,000 base + equity Contact / Apply: Ryan Johnston - About Our Client Our client is a venture-backed healthcare technology company based in New York and Toronto, building agentic AI solutions that reimagine how medications are prescribed, verified, and supported across the pharmacy ecosystem. Backed by $4M in funding and trusted by multiple Fortune 50 healthcare organizations, they’re scaling quickly and expanding their AI product line. As an early engineering hire, you’ll play a meaningful role in shaping architecture, shipping production systems, and balancing speed with quality. The work directly impacts pharmacy workflows and, most importantly, patient outcomes. Mission Our client is building a world where medication delays are impossible. From the moment a prescription is written, the path to therapy start should be clear, fast, and predictable. Their platform connects the fragmented steps that slow medication access, intake, coordination, utilization management, and clinical services, so patients start therapy sooner. The Role Our client is hiring a Senior Software Engineer to design and build autonomous, agentic systems that run complex, multi-step pharmaceutical workflows end-to-end. This is a backend-leaning role with broad scope: you’ll work across orchestration, integrations, reliability/observability, and the practical realities of healthcare systems. This role is ideal for someone who enjoys ambiguous problems, can ship end-to-end, and wants to build real product in a regulated, high-stakes domain. What You’ll Do * Design and build autonomous agents that handle multi-step pharmacy workflows end-to-end * Architect communication systems that coordinate across organizational boundaries (providers, payers, pharmacies, vendors) * Build orchestration layers for long-running tasks, including graceful failure handling and human-in-the-loop escalation * Develop frameworks enabling agents to interact with external pharmacy systems, databases, and APIs * Implement evaluation + observability infrastructure to monitor agent behavior in production (quality, drift, failure modes) * Integrate with healthcare data standards and legacy pharmacy systems * Scale systems for real-time processing across multiple pharmacy networks What Our Client Is Looking For Must-Have Qualifications * 5+ years of software engineering experience with a strong backend focus * Proficiency in Python or TypeScript and deep backend fundamentals (APIs, data stores, concurrency, distributed systems) * Experience with service-oriented architectures and web frameworks (FastAPI, Flask, or equivalent) * Strong API design skills (clean, versioned APIs) * Familiarity with caching, messaging, and databases (e.g., Redis, Kafka, SQL/NoSQL, vector databases) and how to apply them for performance and reliability * Cloud experience (Azure, AWS, or GCP) * Experience building and deploying agentic AI systems, including tool use, planning, memory, and orchestration patterns * Proven ability to ship ambiguous projects end-to-end with minimal guidance and own outcomes * Based in NYC and able to commute to Manhattan 3 days/week Nice-to-Haves * Experience integrating with healthcare/pharmacy systems or healthcare data standards * Experience building evaluation harnesses for agent reliability and hallucination mitigation * Prior work in regulated environments where correctness and auditability matter Compensation & Perks * Competitive compensation: $150k–$250k base + stock options * Full medical, dental, vision coverage * Unlimited PTO + 2 weeks company-wide holiday closure * Complimentary breakfast daily and weekly team lunches (in-office) * Professional development stipend Why This Role This is a rare opportunity to be early, own architecture, and build agentic systems that directly improve medication access—where execution quality matters and the impact is tangible.

Lead Software Engineer We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorganChase within the CONSUMER & COMMUNITY BANKING, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. You will help shape modern, cloud-based technology that supports how our customers save, spend, and manage their money. You will join a collaborative engineering team where your ideas matter, your growth is supported, and you can push the limits of what's possible. You will work on products that must be secure, resilient, and built for scale—delivering real impact for customers and the firm. As a Lead Software Engineer at JPMorganChase within the Consumer & Community Banking Deposits platform, you will be a core technical contributor on an agile team that builds and delivers secure, stable, and scalable software. You will drive solution design and engineering execution across multiple components and services, partner closely with peers and stakeholders, and improve the operational health of the platform through strong engineering practices. Job Responsibilities • Design and deliver secure, high-quality software solutions that solve complex problems and improve customer and business outcomes, • Develop production-grade code and perform thorough code reviews to improve maintainability, reliability, and team standards, • Influence architecture and engineering patterns for event-driven, microservices-based systems running in a cloud environment, • Lead technical evaluation sessions with internal teams and third parties to assess architectural fit, implementation quality, and risk, • Troubleshoot and resolve issues across the software stack, including participating in production support and incident resolution when needed, • Improve application stability by identifying recurring defects, conducting root-cause analysis, and driving preventative fixes, • Automate remediation and operational tasks where appropriate to reduce toil and improve service resilience, • Partner with product and technology stakeholders to translate requirements into scalable, well-defined technical solutions, • Contribute to engineering communities of practice by sharing knowledge, establishing reusable patterns, and promoting modern tools and techniques, • Promote an inclusive team culture grounded in respect, collaboration, and continuous learning Required Qualifications, Capabilities and Skills • Formal training or certification in software engineering concepts and 5+ years of applied experience in software development, • Hands-on experience across system design, application development, testing, and operational support/stability, • Strong proficiency in Java and Spring-based frameworks (e.g., Spring Boot) in production environments, • Experience building event-driven systems and microservices in a cloud environment, • Experience with distributed systems and at least one major cloud platform (Amazon Web Services, Google Cloud Platform, or Microsoft Azure), • Experience designing and building RESTful APIs, • Working knowledge of relational and NoSQL databases, including data modeling and performance considerations, • Hands-on experience with streaming/messaging technologies (e.g., Kafka); familiarity with Spark is a plus where relevant, • Experience with dependency injection and modular service design (e.g., using Spring), • Experience containerizing and operating services using Docker and Kubernetes (including Helm), • Experience improving automated testing and integrating tests into CI/CD pipelines Preferred Qualifications, Capabilities and Skills • Cloud certification and demonstrated experience building and operating cloud-native services, • Experience working in financial services or other highly regulated technology environments, • Experience leading and mentoring engineers with a focus on delivery quality and operational readiness, • Experience designing and implementing CI/CD automation and developer productivity tooling, • Experience translating reliability, performance, scalability, and observability needs into engineering designs and measurable outcomes, • Track record of identifying and implementing process improvements that increase team efficiency and software quality, • Familiarity with modern practices and tools in performance engineering and automation (e.g., load testing, profiling, and monitoring) About Us JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans About the Team Our Consumer & Community Banking Group depends on innovators like you to serve consumers, small businesses, municipalities and non-profits. You'll support the delivery of award winning tools and services that cover everything from personal and small business banking as well as lending, mortgages, credit cards, payments, auto finance and investment advice. This group is also focused on developing and delivering cutting edged mobile applications, digital experiences and next generation banking technology solutions to better serve our clients and customers.

Overview The Lead Backend Engineer on the AI Platform team plays a critical role in building, evolving, and leading the backend systems and engineering practices that power internal products, customer-facing capabilities, AI-enabled workflows, and operational decision-making across the organization. This role combines hands-on backend engineering depth with technical leadership, delivery ownership, and mentorship for engineers working on business-critical systems. This role contributes to the development and evolution of core backend capabilities, including service-oriented architecture, APIs, workflow orchestration, event-driven integrations, identity and permissions, and operational tooling. In addition, the Lead Backend Engineer will drive buildouts of AI application infrastructure, LLM-powered product capabilities, agentic workflows, retrieval-augmented systems, evaluation pipelines, and shared platform patterns. Success requires strong technical judgment, sound systems thinking, and the ability to guide a team toward simple, scalable, and maintainable solutions in a cloud-based, regulated, high-stakes environment. The Lead Backend Engineer is expected to operate effectively in a modern engineering environment, using automation, observability, CI/CD, testing, infrastructure-as-code, and AI-assisted development practices to deploy, manage, and improve backend systems. In parallel, this individual will help set technical direction, break down ambiguous problems, mentor engineers, raise the quality bar through design and code review, and partner closely with Product, AI, Data, Operations, and business stakeholders to build both with AI and on top of AI responsibly, securely, and pragmatically. This is a fully remote position that offers a competitive salary range of $220,000 to $300,000, plus an annual bonus. You'll also receive our excellent benefits package, which includes medical coverage starting on day one and a company-matched 401(k). Compensation may vary based on experience, location, and other job-related factors. Responsibilities Scale High-Performance Distributed Systems • Design, build, and maintain production backend services for a wide variety of internal and external use cases, including product workflows, operational tools, integrations, APIs, and AI-enabled applications, • Develop well-structured APIs, domain models, service interfaces, and business logic that are easy to understand, test, operate, and extend, • Build scalable backend workflows that support complex business processes across loans, documents, accounts, users, permissions, vendors, and operational decision making, • Remain hands-on in critical areas of the codebase, especially where technical direction, architectural leverage, incident resolution, or execution speed requires senior engineering judgment Technical Direction & Architecture, • Lead the design of service architectures that support transactional, operational, analytical, and AI-driven workloads across production environments, • Define practical patterns for service boundaries, idempotency, consistency, retries, failure handling, schema evolution, versioning, backward compatibility, and operational ownership, • Guide technical design reviews, architecture discussions, and implementation plans to ensure systems are simple, secure, reliable, observable, and maintainable, • Make sound technical tradeoffs that balance speed, simplicity, reliability, security, cost, and long-term platform leverage AI Product & Platform Development, • Lead the design and implementation of LLM-powered backend capabilities, including retrieval, tool use, workflow orchestration, structured outputs, human-in-the-loop review, evaluation, guardrails, and production monitoring, • Establish patterns for integrating AI systems with core services, data stores, document workflows, permissions, audit trails, operational decisioning, and user-facing product experiences, • Use AI-assisted development tools thoughtfully to accelerate software delivery while maintaining strong standards for code quality, testing, security, maintainability, and human ownership of technical decisions, • Partner with AI, Data, Product, and Operations teams to translate model capabilities, business workflows, and user feedback into reliable product experiences that improve over time Team Leadership & Delivery, • Lead, mentor, and develop backend engineers through technical guidance, design feedback, code review, pairing, coaching, and clear expectations for engineering quality, • Translate ambiguous business, product, and operational needs into clear technical plans, milestones, sequencing, risks, and execution paths for the team, • Coordinate delivery across engineers and partner teams, helping remove blockers, manage dependencies, clarify ownership, and keep work moving with urgency and discipline, • Help create a strong team culture grounded in ownership, high standards, candid feedback, pragmatic decision-making, and continuous learning Cloud Deployment & Operations, • Deploy, operate, and improve backend services on major cloud platforms such as AWS, GCP, or Azure, • Use infrastructure-as-code, CI/CD, automated testing, and deployment automation to improve release speed, consistency, and reliability, • Monitor production services using logging, tracing, metrics, alerting, and observability tooling to proactively identify and resolve issues, • Support secure, resilient, cost-conscious, and well-documented operation of cloud-based backend infrastructure and application services Reliability, Security & Compliance, • Build and lead systems with strong operational discipline, including attention to latency, availability, scalability, correctness, incident response, and production support, • Implement and review authentication, authorization, permissions, audit logging, data protection, and secure service-to-service communication patterns, • Establish and maintain standards for API documentation, service ownership, runbooks, operational metrics, change management, release readiness, and production support, • Contribute to practices that support security, privacy, auditability, compliance, and risk management in a regulated environment Cross-Functional Collaboration, • Partner closely with Product, Engineering, Data, AI, Design, Operations, and business stakeholders to understand workflows, user needs, constraints, and delivery priorities, • Translate business and operational requirements into clean, scalable, maintainable, and secure backend solutions, while helping stakeholders understand technical tradeoffs and delivery risks, • Support downstream consumers of backend capabilities, including product teams, analysts, researchers, AI systems, operational users, and external integrations, • Communicate clearly with both technical and non-technical stakeholders about system behavior, tradeoffs, risks, dependencies, incidents, and delivery timelines Qualifications, • 5-8+ years of experience building and operating production-grade backend systems, APIs, services, or distributed applications, • 2+ years of experience operating in a technical lead, team lead, staff-level project lead, engineering manager, or equivalent engineering leadership capacity, • Strong software engineering fundamentals, including data structures, algorithms, system design, debugging, testing, code quality, and pragmatic architecture decision-making, • Experience designing, building, maintaining, and debugging services that run in production and support real users or business-critical workflows, • Experience with modern backend programming languages such as Python, Go, C++, Rust, Java, Kotlin, Scala, TypeScript, or C#, • Experience with API design, service boundaries, event-driven or asynchronous architectures, relational data stores, and non-relational data stores, • Experience building transactional systems where correctness, idempotency, consistency, reconciliation, and auditability matter, • Experience deploying and operating backend services on major cloud platforms such as AWS, GCP, or Azure, • Experience building AI-enabled product capabilities on top of LLMs, foundation models, retrieval systems, embedding and search infrastructure, agent or tool-calling patterns, workflow orchestration, structured outputs, and human-in-the-loop review, • Experience integrating AI capabilities with backend systems, permissions, audit trails, document workflows, data pipelines, APIs, operational decisioning, and business-critical user experiences, • Demonstrated ability to use AI-assisted development tools to improve engineering velocity while maintaining code quality, security, review discipline, and accountability for technical decisions, • Strong SQL skills and comfort with application data modeling, schema evolution, migrations, query performance, and data access patterns, • Experience leading technical design, breaking down ambiguous problems, sequencing work, managing dependencies, and helping engineers make high-quality implementation decisions, • Experience mentoring engineers through design review, code review, debugging, production support, career development, and feedback, • Strong judgment in ambiguous environments where requirements evolve and systems must balance speed, reliability, security, compliance, and flexibility Preferred Experience, • Experience in fintech, mortgage, lending, payments, insurance, banking, capital markets, or other regulated domains, • Experience with queues, streaming, and event-driven platforms such as Kafka, Kinesis, SQS/SNS, Pub/Sub, RabbitMQ, or similar systems, • Experience building secure identity, access control, permissions, audit trail, policy, or compliance-oriented backend capabilities, • Experience building high-volume, low-latency, multi-tenant, B2B, enterprise, or internal platform systems, • Experience with AI platform components such as model APIs, prompt management, embeddings, vector databases, retrieval pipelines, function calling, model routing, evaluation harnesses, and AI observability tooling You do not need prior fintech or finance experience to succeed in this role. If you are a strong backend engineering lead with solid technical judgment, a product mindset, and excitement for leading engineers through complex backend and AI-enabled systems problems, we would love to hear from you. If your background does not line up perfectly with every bullet, but this role feels like the kind of work you want to do, please apply. Bayview is an Equal Employment Opportunity employer. All aspects of consideration for employment and employment with the Company are governed on the basis of merit, competence and qualifications without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, or any other category protected by federal, state, or local law. #LI-Remote

Senior Software Engineer Job Description Company description: Publicis Groupe is a global leader in communication and is positioned at every step of the value chain, from consulting to execution, combining marketing transformation and digital business transformation. Through a unified and fluid organization, Publicis Groupe partners with its clients across communication, media, data and technology to ensure access to the full breadth of capabilities in every market. Present in over 100 countries, Publicis Groupe employs around 103,000 professionals. Overview: As a Manager Software Engineering, you will be the senior hands-on engineer in a cross-functional Alpha Labs team. Your mandate: turn cutting-edge generative-AI research and data-science insights into live demonstrations that differentiates Publicis in competitive pitches and large-scale client engagements. You will architect and build cloud-native services, GenAI-powered prototypes and intelligent APIs, then collaborate with data scientists, audience strategists, creatives and media technologists to embed those solutions across the connected consumer journey. Responsibilities: • Design, build and own backend services, microservices and cloud functions (AWS, Azure, Databricks) that power GenAI and data science workflows., • Integrate and experiment with GenAI APIs (OpenAI, Claude, proprietary LLMs) and agent/tool frameworks; implement retrieval augmented generation and vector database pipelines where useful., • Rapid prototype novel audience intelligence or ad tech concepts for new business pitches; evolve proofs of concept into scalable products., • Collaborate with data scientists to operationalize predictive segmentation, targeting and measurement models., • Act as the technical lead within the squad: set coding standards, review PRs and mentor engineers., • Translate complex AI/ML ideas into clear narratives for creative, media and C suite audiences., • 6+ years professional software-engineering experience (or 4+ years with a relevant advanced degree)., • Expert-level Python plus proficiency in at least one additional modern language (TypeScript/JavaScript, Java, Go, Dart, etc.)., • Hands-on experience calling or fine-tuning GenAI/LLM APIs (e.g., GPT-4o, Claude, Gemini) and integrating them into user-facing or service-layer applications., • Working knowledge of front-end or mobile frameworks (React, Next.js, Flutter, etc.)., • Prior work with AI-agent orchestration, vector databases (Pinecone, Weaviate, PGVector) or LangChain/LlamaIndex., • Experience deploying models or apps in Databricks and using MLflow or similar MLOps tooling., • Familiarity with marketing-tech or ad-tech domains, including identity graphs, segmentation and measurement. Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off. Compensation Range: $87,210 - $154,000 annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 04/01/2026. All your information will be kept confidential according to EEO guidelines. Veterans Encouraged to Apply.

Senior Lead Software Engineer - ML Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Senior Lead Software Engineer - ML at JPMorgan Chase within the Consumer & Community Banking (CCB) line of business, you serve as a seasoned member of an agile team focused on building, scaling, and maintaining robust machine learning platforms. You will design and deliver trusted, market-leading infrastructure and tools that empower data scientists and ML engineers to develop, deploy, and monitor models efficiently and securely. You are responsible for implementing critical technology solutions across multiple technical areas to support the firm's business objectives and drive innovation in ML platform capabilities. Job Responsibilities • Design, build, and maintain scalable machine learning platforms and infrastructure to support end-to-end ML workflows., • Develop and optimize tools for model training, deployment, monitoring, and lifecycle management., • Integrate data engineering, feature management, and model serving capabilities into unified ML platform solutions., • Implement secure, high-quality production code for platform services, APIs, and automation pipelines., • Collaborate with data scientists, ML engineers, and product teams to understand requirements and deliver platform features that accelerate ML development and operations., • Ensure platform reliability, scalability, and performance through proactive monitoring, troubleshooting, and continuous improvement., • Produce architecture and design artifacts for platform components, ensuring alignment with enterprise standards and best practices., • Automate infrastructure provisioning, configuration, and CI/CD pipelines for ML platform services., • Formal training or certification on software engineering concepts and 5+ years applied experience, • Hands-on experience building, deploying, and maintaining machine learning platforms or infrastructure, • Proficiency in Python and one or more ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn), • Experience with data processing frameworks and tools (e.g., Spark, Pandas, SQL), • Practical experience with cloud-based ML platforms (e.g., AWS SageMaker, GCP AI Platform, Azure ML) or on-prem ML infrastructure, • Strong understanding of MLOps practices, including CI/CD for ML, model versioning, and monitoring, • Experience developing APIs and platform services for ML workflows, • Solid knowledge of the software development life cycle and agile methodologies, • Familiarity with Databricks for scalable data engineering and ML platform integration, • Experience working with Snowflake for cloud-based data warehousing and analytics, • Exposure to Snorkel AI for programmatic data labeling and training data management, • Experience with containerization and orchestration tools (e.g., Docker, Kubernetes, Airflow), • Familiarity with feature stores, model registries, and ML metadata management, • Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation) Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Equal Opportunity Employer/Disability/Veterans About the Team Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

Lead Software Engineer, Full Stack (Bank Tech) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. Bank Tech is seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Lead Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. We're not just supporting a bank; we're redefining the tech foundation for a financial giant. As Bank Tech, we are leading the charge to become the first bank to build an internal, integrated, and fully modernized core banking platform. If you're passionate about modular, resilient, cloud-native, and secure engineering, you'll find your challenge here. We're building common capabilities and cutting-edge, real-time technology solutions that power critical lines of business including our Retail Bank, Small Business Bank, Commercial Bank, and Capital One Shopping. What You'll Do: * Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company * Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community * Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment * Utilize programming languages like Java, Python, JavaScript, TypeScript, SQL, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services Basic Qualifications: * Bachelor's Degree * At least 4 years of experience in software engineering (Internship experience does not apply) * At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: * Master's Degree * 7+ years of experience in at least one of the following: Java, Python, JavaScript, TypeScript, SQL, or Go * 3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service * 4+ years of experience in open source frameworks * 1+ years of people management experience * 2+ years of experience in Agile practices At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead Software Engineer New York, NY: $215,200 - $245,600 for Lead Software Engineer Richmond, VA: $179,400 - $204,700 for Lead Software Engineer Wilmington, DE: $179,400 - $204,700 for Lead Software Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website () . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Link Logistics Real Estate ("Link") is a leading operator of warehouses and business parks, specializing in last-mile logistics real estate. Established by Blackstone in 2019, the company connects consumption, technology, and the supply chain across its portfolio, which spans half a billion square feet. We leverage our scale, proprietary data and insights, and foundational focus on sustainability to drive success for our customers' businesses and deliver value for our stakeholders. We put our people, customers, and communities first and find ways to make a conscious, positive impact where we live and work. Every day, we work to reinvent and lead our industry forward by thinking bigger and challenging the status quo. We're hiring a full-stack Software Engineer to help build Link's investment analytics platform. You'll own significant pieces of the infrastructure, make real architectural decisions, and work directly with the business teams who depend on what you build. This is not a role where requirements get handed down. You'll identify problems, design solutions, and ship - often in the same week. You'll need to be comfortable with ambiguity, confident making judgment calls independently, and energized by the kind of work where there's no established playbook. RESPONSIBILITIES: • Build and own the platform - design and maintain the application infrastructure, API layer, and shared services that power Link's Analytics Engine end-to-end. Microsoft Azure experience is preferred., • Set the technical foundation - make early architectural decisions that will shape how the platform scales; know when to move fast and when to get it right., • Develop full-stack applications that surface ML insights and advanced analytics through intuitive, responsive interfaces built in React and TypeScript. C# and SQL experience is valuable., • Improve developer velocity - own the build, deploy, and testing pipeline and continuously reduce friction for the team., • Integrate AI-native workflows - build tools, prompts, and evals that put real analytical leverage in the hands of investment teams., • Work directly with stakeholders - engage with investment, asset management, and capital markets teams to understand problems, gather feedback, and iterate without waiting for someone else to translate., • Lead by doing - mentor contractors and interns, set a high standard through code reviews, and bring teammates along without slowing down. QUALIFICATIONS:, • 5+ years of full-stack development experience, ideally including time in an early-stage or 0→1 environment, • Proven ability to ship end-to-end independently - from scoping a problem to deploying production code - without needing a designer, PM, or architect to unblock you, • Experience shipping LLM-native features or applications in production, • Expert-level React skills: modern patterns (hooks, context, suspense), performance optimization, and component architecture, • Strong backend proficiency in Python or Node.js; fluent in designing and maintaining scalable APIs, • Sharp product instincts and a track record of making smart scope and architecture tradeoffs under pressure, • Direct, low-ego communicator - comfortable with hard feedback from internal users and fast to incorporate it PREFERRED QUALIFICATIONS:, • Experience building ML-powered application workflows and integrating data science outputs, • Familiarity with MCP or production LLM integrations, • Background at an AI-native company or in a product-focused founding environment, • Experience in real estate, finance, or other data-intensive industries $185,000 - $225,000 represents the presently anticipated base compensation pay range for this position at Link. Actual pay may vary based on various factors, including but not limited to location and experience. Link provides a variety of benefits to employees, including health insurance coverage, retirement savings plan, paid holidays, paid time off. The direct compensation and benefits described above are subject to the terms and conditions of any governing plans, policies, practices, agreements, or other materials or documents as in effect from time to time, including but not limited to terms and conditions regarding eligibility. EEO Statement The Company is an equal opportunity employer. In accordance with applicable law, we prohibit discrimination against any applicant, employee, or other covered person based on any legally recognized basis, including, but not limited to: veteran status, uniformed servicemember status, race, color, caste, immigration status, religion, religious creed (including religious dress and grooming practices), sex, gender, gender expression, gender identity, marital status, sexual orientation, pregnancy (including childbirth, lactation or related medical conditions), age, national origin or ancestry, citizenship, physical or mental disability, genetic information (including testing and characteristics), protected leave status, domestic violence victim status, or any other consideration protected by federal, state or local law. We are committed to providing reasonable accommodations, if you need an accommodation to complete the application process, please email .

Lead AI Engineer (AI Foundations) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $179,400 - $204,700 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website () . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description Position: Senior Software Engineer Company Overview: Lovefreedom Solution is a leading software development company based in New York, NY. We provide innovative solutions to businesses of all sizes, helping them achieve their goals and grow their operations. Our team is made up of highly skilled and passionate individuals who are dedicated to delivering top-notch software solutions to our clients. Job Overview: We are seeking a Senior Software Engineer to join our growing team. As a Senior Software Engineer, you will be responsible for designing, developing, and maintaining software applications for our clients. You will work closely with our project managers, designers, and other developers to ensure the successful delivery of projects. Key Responsibilities: • Design, develop, and maintain software applications according to client requirements, • Collaborate with project managers, designers, and other developers to ensure project objectives are met, • Write clean, efficient, and well-documented code, • Conduct code reviews and provide feedback to junior developers, • Troubleshoot and debug software issues, • Keep up-to-date with emerging technologies and best practices in software development, • Mentor and coach junior developers, • Participate in the planning and estimation of project timelines and deliverables, • Communicate project progress and any potential roadblocks to project managers and other team members Develop full-stack features for cutting-edge, experimental products on our Horizon team or foundational infrastructure on our Atlas team. Work across the entire product lifecycle, from planning and design to deployment and optimization, sometimes stepping into a product management role. Build with TypeScript, React, GraphQL, and Ruby on Rails, with opportunities to work with modern languages like Rust or Node.js on new defense-focused products. Collaborate closely with product, design, and other engineers in a fast-paced, iterative environment to maintain high-quality standards. Provide mentorship and guidance to other engineers, helping to shape our team's culture and advance their skills. Qualifications: • Bachelor's degree in Computer Science, Software Engineering, or a related field, • Minimum of 5 years of experience in software development, • Strong knowledge of programming languages such as Java, C++, or Python, • Experience with web development frameworks such as Angular, React, or Vue.js, • Experience with database management systems (SQL, MySQL, etc.), • Familiarity with Agile methodologies, • Excellent problem-solving and analytical skills, • Strong communication and teamwork skills, • Ability to work independently and manage multiple projects simultaneously, • Experience with cloud computing platforms (AWS, Azure, etc.) is a plus Why Work for Us? • Competitive salary and benefits package, • Opportunity for career growth and development, • Collaborative and supportive work environment, • Exciting and challenging projects with top clients, • Flexible work hours and remote work options, • Company-sponsored events and activities If you are a highly skilled and motivated Senior Software Engineer looking to be a part of a dynamic and innovative team, we would love to hear from you! Apply now to join Lovefreedom Solution and make a difference in the world of software development.

Job Description Job Title:Backend Engineer Job Type: Contract Location: Remote Job Summary: Join our customers team as a Backend Engineer, where youll architect and build robust, scalable backend systems powering innovative digital products. Collaborate with top-tier engineers in a dynamic, expert environment while driving forward the core technology infrastructure. This is a fantastic opportunity for backend specialists passionate about solving complex challenges and delivering high-impact solutions. Key Responsibilities: • Design, develop, and maintain scalable backend services and APIs that meet demanding performance requirements., • Collaborate cross-functionally to translate business needs into technical specifications and impactful backend solutions., • Optimize backend systems for reliability, security, and efficiency, ensuring seamless user experiences., • Write clean, well-documented, and thoroughly tested code, adhering to best engineering practices., • Participate actively in code reviews, mentoring, and knowledge sharing sessions with fellow engineers., • Monitor, troubleshoot, and resolve backend issues in production environments, targeting root causes and continuous improvements., • 3+ Years Proven expertise in backend development using modern programming languages., • Extensive experience designing and implementing RESTful APIs and microservices architectures., • Strong proficiency with relational and NoSQL databases, along with data modeling principles., • Deep understanding of system security, authentication, and authorization best practices., • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)., • Excellent written and verbal communication skills, with a collaborative and proactive approach., • Familiarity with event-driven or server less architectures., • Experience with CI/CD pipelines and automated testing frameworks., • Background in mentoring or technical leadership within backend teams.

Job Description Overview CTG is seeking to fill a Full Stack QA Engineer (Automation, APIs, Cloud) position for our client. Location: New York, NY Duration: 12 months Why Join This Role? • Work across modern full-stack systems (UI, APIs, backend, mobile), • Drive automation strategy and CI/CD quality integration, • Contribute to scalable cloud-native applications (AWS, Kubernetes), • Build and maintain automated test frameworks across UI, API, and backend layers, • Perform functional, regression, integration, and performance testing, • Lead automation strategy and promote TDD/BDD practices, • Integrate automated tests into CI/CD pipelines for continuous testing, • Validate cloud-based applications (AWS) and containerized environments (Kubernetes), • Conduct API testing and ensure system reliability, scalability, and security, • Collaborate with engineering teams to improve code quality and testing coverage, • Strong QA and test automation experience, • Node.js / backend testing experience, • API testing (REST, Postman or similar tools), • Functional, regression, and performance testing, • Automation tools (Selenium, Cypress, Playwright, WebdriverIO, MochaJS), • CI/CD tools (Jenkins, GitHub Actions, GitLab CI, or Azure DevOps), • Kubernetes and container-based testing, • 6+ years of QA experience across full-stack applications, • Experience with automation frameworks and design patterns (POM, TDD, BDD), • Strong understanding of Agile/Scrum environments, • Experience with microservices and distributed systems preferred CTG does not accept unsolicited resumes from headhunters, recruitment agencies, or fee based recruitment services for this role. To Apply: To be considered, please apply directly to this requisition using the link provided. For additional information, please contact Rebecca Olan at . Kindly forward this to any other interested parties. Thank you!

Job DescriptionFusemachines is a 10+ year old AI company, dedicated to delivering state-of-the-art AI products and solutions to a diverse range of industries. Founded by Sameer Maskey, Ph.D., an Adjunct Associate Professor at Columbia University, our company is on a steadfast mission to democratize AI and harness the power of global AI talent from underserved communities. With a robust presence in four countries and a dedicated team of over 400 full-time employees, we are committed to fostering AI transformation journeys for businesses worldwide. At Fusemachines, we not only bridge the gap between AI advancement and its global impact but also strive to deliver the most advanced technology solutions to the world. About the Role: We are seeking a Director of Engineering with strong expertise in both core software engineering and applied AI/Machine Learning to lead the development of innovative, production-grade products. This is a hands-on leadership role requiring a highly technical individual who can actively contribute to system design, coding, and architecture while also guiding a team. The ideal candidate combines deep engineering execution with the ability to set technical direction and drive delivery in a fast-paced B2B environment. This role operates with a 60% focus on technical execution and 40% on leadership and oversight. Key Responsibilities: Hands-On Technical Leadership • Serve as a hands-on technical leader, spending the majority of time coding, reviewing code, and designing systems, • Operate at a senior/principal engineering level while setting technical direction, • Lead by example in building production-grade software across backend, frontend, and infrastructureAI & Data Systems Development, • Design, build, and deploy AI-enabled products end-to-end, including:, • Statistical and predictive models, • LLM-based systems (e.g., LLaMA, Qwen, Mistral), • Fine-tune and integrate models into customer-facing B2B applications, • Focus on shipping AI into production, not research, • Collaborate effectively with AI/ML specialistsSoftware Engineering Excellence, • Contribute as a core software engineer across backend and frontend systems, • Build high-quality applications with emphasis on:, • Clean architecture, • Performance and scalability, • Reliability and maintainabilityBackend, Platform & Infrastructure, • Develop backend services using Golang, • Work extensively with Kubernetes, including:, • Service architecture, • Deployment and scaling, • Debugging, observability, and production operationsFull-Stack Development, • Build and review end-to-end product features using:, • React, • NestJS, • Contribute across the full stack as neededTeam Leadership & Collaboration, • Lead and mentor a small-to-mid-sized engineering team while remaining hands-on, • Provide code reviews, technical mentorship, and architectural guidance, • Establish engineering standards and best practices with minimal process overhead, • Partner with Product and business stakeholders to drive outcomesProduct & Business Impact, • Build and scale B2B products, • Make engineering decisions with a clear understanding of:, • Customer impact, • Delivery timelines, • Revenue implications, • Experience: At least 5 years of technology experience, with experience in leadership roles managing teams that specialize in both ML/MLOps and core software engineering. Experience with ML metrics observability, workflow orchestration, service release automation, notebook development, and LLM deployment is a plus., • Education: Advanced degree in Computer Science, Engineering, or a related field, with a strong background in both AI/machine learning and software engineering., • Technical Expertise: A deep understanding of Enterprise Software architecture, design patterns, and modern programming languages coupled with a strong foundation in machine learning algorithms, data modeling, and MLOps practices across the major cloud providers (AWS, Azure, GCP)., • Leadership and Vision: Proven ability to lead, inspire, and grow multidisciplinary engineering teams. A Strategic thinker with the capacity to balance short-term goals with long-term vision., • Collaborative Skills: Excellent communication and collaboration skills, capable of fostering positive relationships across engineering teams and with other business units. Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws. Powered by JazzHR deRuOve3G5

You’ll work cross-functionally with engineering, security, and operations teams to drive reliability, scalability, and compliance across our multi-cloud and hybrid platforms. Partner with product and engineering teams in agile ceremonies to plan, deliver, and continuously improve. Requirements Req

Skills and Requirements 7+ years of experience within Azure cloud systems administration and engineering/design Advanced knowledge of Azure best practices as it relates to deployment, scaling, data protection, security, and its integration with other Microsoft cloud-based solutions 5+ years of exper

Date: Mar 17, 2026 Location: Remote, US Requisition ID: 37592 About Avaya Avaya is an enterprise software leader that helps the world’s largest organizations and government agencies forge unbreakable connections.The Avaya Infinity™ platform unifies fragmented customer experiences, connecting

Job Description We’re building applied AI systems for high‑stakes, real‑world decisions. Our platform ingests and reasons over large, messy data to surface evidence with hard constraints around fairness, auditability, and low bias. The single gnarliest, most impact‑heavy place this problem shows up is in insurance claims, so that’s where we’re deployed today, running in production at some of the largest carriers in North America. We are seeking a talented Senior Software Engineer to join our Product team. In this role, you will work closely with cross-functional teams to design and develop innovative products that enhance our platform's functionality and user experience. We have engineering hubs in New York City and Vancouver, and this role is 5 days per week onsite in one of those offices. We optimize for people who like to think deeply, whiteboard with other sharp engineers, and ship ambitious systems together in person. Join us at Owl.co and become an integral part of a forward-thinking team dedicated to transforming the insurance industry through technology. Your contributions will play a crucial role in enhancing our products and delivering value to our clients. Key Responsibilities: * Collaborate with product managers and designers to understand user requirements and translate them into technical specifications. * Design, develop, and maintain product features and enhancements for our platform. * Implement best practices in software development to ensure code quality, security, and performance. * Contribute to architectural decisions and continuously improve the technical stack. * Participate in code reviews and provide constructive feedback to peers. * Mentor junior engineers and contribute to a culture of knowledge sharing and learning. Minimum Qualifications: * Bachelor's degree in Computer Science or a related technical field. * 5+ years of experience in software development, with a focus on product engineering. * Proficiency in programming languages such as Python, Java, or similar. * Experience with modern web frameworks and technologies. * Strong problem-solving skills and the ability to think critically. * Excellent communication skills and the ability to work collaboratively in a team environment. Preferred Qualifications: * Experience with cloud platforms such as AWS or Azure. * Familiarity with microservices architecture and APIs. * Experience in Agile development methodologies. Benefits * Industry Leaders: Our technical leadership comes from Meta, Microsoft, X, and Goldman Sachs, bringing world-class expertise to our agile team. * Market Leadership: We hold the largest market share in our space, offering a proven ROI and maintaining a 100% customer retention rate, with renewals consistently doubling their previous terms. * Lean & Impact Driven Team: Our small, nimble team makes swift decisions and encourages direct communication and innovation through a flat organizational structure. You’ll make real, meaningful contributions right from the start. * Established Product-Market Fit: AI-Driven Product that helps shape an AI-powered enterprise solution for insurance companies across the US and Canada. * Healthcare benefits: we cover 100% of the premiums for you and 70% for your family (medical, dental & vision) ???? * 401k matching to help you save for your future ???? * Recharge: 4 weeks of paid time off & 5 additional personal/sick days ⛱️ * Daily team lunches ???? * Bi-annual offsites: we'll make sure everyone at Owl has an opportunity to can hang out with teammates IRL at least twice a year ???? Salary Range: $150,000 - $250,000 USD Our salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects a range target for new hire salaries for the position and could be higher or lower based on a multitude of factors, including job-related skills, experience, location, and relevant education or training.

As the Lead Software Engineer at JPMorgan Chase within the Wholesale Credit Risk team, you will play a pivotal role in designing and implementing scalable hybrid cloud solutions. Proven experience in hybrid cloud architecture (AWS, Azure, GCP, or private cloud). Deep understanding of distributed sys

NIST controls) + Hands-on delivery in Agile environments (Scrum, Kanban, SAFe, or similar) + Strong written and verbal communication and the ability to work effectively on distributed teams Ideally, you'll also have + Deeper hands-on experience with: + **Git-based source contr

Job DescriptionJob Description:We are seeking a highly skilled AI Software Engineer to design, develop, and deploy advanced AI-driven solutions. This role involves working within an agile team to build intelligent systems, agentic workflows, and AI-powered tools that enhance software engineering productivity and operational efficiency.The ideal candidate will have strong experience in software development and applied AI, with a focus on integrating machine learning models into scalable, production-grade systems.Key Responsibilities AI & System Development • Design, build, and maintain agentic workflows and autonomous AI systems, • Develop and integrate AI/ML models into production applications, • Implement orchestration logic for multi-agent systems and automation pipelines, • Write clean, scalable, and maintainable code, • Apply modern software development practices in an agile environment, • Contribute to architecture, design, development, and delivery cycles, • Work closely with cross-functional teams (engineering, product, data), • Gather requirements and translate them into AI-driven solutions, • Monitor, evaluate, and optimize AI systems in production, • Stay updated on advancements in AI, LLMs, and agent-based architectures, • 7–15 years of overall experience in software engineering or related fields, • 2–5 years of hands-on experience in AI/ML or data engineering, • Proficiency in Python or another modern programming language (Java, Go, Ruby), • At least 1–3 years experience with Java 17+, • Experience building agentic workflows or multi-agent systems, • Familiarity with orchestration frameworks such as:, • LangChain, • AutoGen, • CrewAI (or similar), • Strong understanding of:, • Large Language Models (LLMs), • Prompt engineering, • AI system design, • Experience with:, • Cloud platforms (AWS, Azure, or GCP), • Containerization (Docker, Kubernetes), • APIs, microservices, and system integration, • Strong problem-solving, analytical, and communication skills, • Experience with AWS environments and services, • Exposure to enterprise-scale AI implementations, • Knowledge of financial services or regulated environments #ZR

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 Senior Data Engineer – Cloud & AI Platforms Location: US / Canada (Remote/Hybrid) Type: Contract / Full-Time Overview: We are hiring a Senior Data Engineer to support large-scale data modernization and AI-driven transformation programs. This role focuses on building robust, scalable cloud data platforms and enabling advanced analytics and AI use cases. Key Responsibilities: • Architect and develop scalable data pipelines and cloud-native data solutions, • Collaborate with data scientists, analysts, and business stakeholders, • Strong experience in data engineering and cloud-based architectures, • Hands-on expertise with platforms like Databricks, Snowflake, Azure Synapse, or BigQuery, • Experience with ML/AI pipelines (Python, PyTorch, MLOps), • Exposure to GenAI frameworks such as LangChain or agent-based systems

Job Description Tagup is a defense technology company founded at MIT that is delivering logistics decision advantage with next-generation AI. We’re growing rapidly and are looking for change-makers passionate about delivering innovative technologies to solve the most challenging problems in the world’s highest stakes environments. This is an exciting opportunity to engage in meaningful work that strengthens national security and contributes to the success of U.S. and allied forces. Join us in shaping the future of defense logistics for a safer tomorrow. We are seeking a Machine Learning Engineer to join our Salt Lake City team and help shape the next generation of AI-driven defense and aviation systems. In this role, you’ll go beyond building models — you’ll design, deploy, and scale AI solutions that directly support mission-critical operations. This is not a typical ML position. You’ll work at the intersection of cutting-edge research and real-world application, creating models and infrastructure that deliver measurable improvements in reliability, efficiency, and performance. If you’re motivated by solving complex technical challenges and want your work to make a tangible impact on national security and aviation safety, we want to hear from you.What You’ll Do • Develop, train, and optimize ML models for large-scale applications., • Build pipelines for data ingestion and model deployment., • Work with engineers and subject-matter experts to refine solutions., • Conduct testing and validation to ensure reliability., • Co-author technical reports on data analysis and model performance., • Continuously improve ML infrastructure and workflows., • Collaborate with customers to identify new data sources and the industrial processes they will support; some customer travel may be required.What We’re Looking For, • 4+ years of machine learning experience, with strong Python skills and proficiency in frameworks such as PyTorch or TensorFlow., • Proven ability to deploy ML models into production and work with large, complex datasets., • Hands-on experience with MLOps tools and practices, including Kubernetes, MLflow, and CI/CD pipelines., • Experience building and managing cloud infrastructure as code (AWS, Azure, or GCP) with tools such as Terraform or Ansible. Tagup is an equal opportunity employer and individuals seeking employment with us are considered without regard to race, color, religion, national origin, age, sex, marital status, physical or mental disability, veteran status, gender identity, sexual orientation, or any other characteristic protected by law. Citizenship: Due to the nature of our work with the U.S. Department of Defense, applicants must be authorized to work for any employer in the U.S. We are unable to sponsor visas at this time. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description About Us: Versana is an industry-backed data and technology company on a mission to transform the syndicated loan market. By digitally capturing agent banks’ data on a real-time basis, Versana provides unprecedented transparency into loan-level details and portfolio positions, bringing efficiency and velocity to the entire market. Through our platform, participants can rest assured they are accessing the loan market’s most credible source of deal information. About You: Versana is looking for a motivated mid-level Data Platform Engineer to join our team. This role is primarily focused on data engineering, with a secondary responsibility in reporting and dashboard delivery. Your mission is to transform operational (OLTP) data from multiple source systems into clean, analysis-ready (OLAP) datasets using our lakehouse medallion architecture. You will work closely with seasoned technology leaders, and colleagues with diverse experience in a dynamic, agile environment. You’ll mentor team members through code reviews, pairing, documentation, and knowledge-sharing practices. You’ll both share your engineering expertise with colleagues and learn from their deep domain knowledge. You’ll help standardize data transformations and testing, and drive CI/CD practices, all while improving performance, reliability, and observability. Key Responsibilities:Data Engineering (Primary): • Design, implement, and operate ELT pipelines to ingest data into the lakehouse., • Apply Medallion architecture and semantic layering to deliver curated datasets., • Build and maintain durable data lakes sourced from operational systems, including sustainable ingestion, schema evolution, storage formats, partitioning, and performance., • Secure data at rest and in transit by enforcing governance policies, including regular access reviews and auditability., • Establish and enforce standards for data quality, observability/alerting, and lineage; uphold daily/hourly SLAs for critical reports and datasets., • Drive CI/CD for data code reviews, documentation, and environment promotion; mentor and unblock teammates. Reporting & Analytics (Secondary): • Create and maintain tabular models and dataflows; optimize dataset refreshes, query performance, and usability., • Partner with Product to translate requirements into robust models, metrics, and dashboards; collaborate with Application Developers on data contracts and change management for upstream systems.• Support operational monitoring and alerting; ensure timely, trusted reporting for leadership and clients., • Triage and fulfill ad-hoc data requests while improving self-service patterns and documentation.Must Haves:• B.S. or B.A in Computer Science or related field., • 5–7 years in data engineering or analytics engineering., • Strong SQL and practical experience with dbt for transformations and testing., • Hands-on experience with data modeling and performance optimization., • Professional coding experience with both Java and Python., • Experience operating data ware/lake-houses and building semantic layers., • Familiarity with CI/CD (DataOps), version control, and environment promotion., • Data quality, observability, and alerting experience with a focus on SLAs and stakeholder trust., • Experience with external client reporting, embedded analytics, and multi-tenant considerations (modeling, partitioning, access controls)., • Demonstrated ability to mentor or coach in software engineering practices., • Effective communication and requirement gatheringNice to Haves:• Cost/performance tuning across data ware/lake-housing, query engines, BI tools; caching strategies and aggregation design., • Data documentation, lineage, and cataloging practices; strong habits around reproducibility and testing., • Apply report design and visualization best practices (effective layouts, clear metric definitions, consistent interactions, and performant SQL+DAX queries) to deliver executive\u0002ready dashboards.

Job DescriptionJob Title: Cloud EngineerLocation: 140 Broadway, NY, NY (Hybrid)JOB SUMMARY:Client X is looking for a highly motivated Cloud Engineer to help with the expansion of our service offerings into cloud-based environments. Reporting to the Director of Engineering, the Engineer’s role is to assist with the design, implementation, management and support of technology services within various cloud platforms including Azure, AWS and Oracle cloud.Responsibilities • Work in partnership with the technology teams to act as an advisor to develop cloud-based architectures to support data, applications, and technologies across a growing enterprise, • Responsible for the development of a robust Cloud Governance model including billing, security, cost analysis, reporting, capacity planning etc., • Create, champion, and implement standards, processes, and procedures to be used across the enterprise, in the delivery of key infrastructure support services, • Collaborate with development and engineering teams to identify and evaluate optimal cloud solutions, • Educate existing teams on implementation and maintenance of cloud services, • Develop and maintain cloud solutions according to security best practices, • Monitor and audit security logs and configure and manage alerting, • Manage components of the operating and capital budgetsRequired Skills & ExperienceThe ideal candidate will have a willingness to work in a dynamic, complex environment, have a solution-oriented mindset, and demonstrated experience with enterprise IT governance models, infrastructure architecture, and a solid understanding of IT security frameworks. The ideal candidate should have:, • BS degree in computer science or equivalent experience, • Minimum of 3 years of progressively responsible and relevant experience in cloud technologies, • Relevant experience in infrastructure design and architecture, • Management of third-party technology service and implementation partners, • Experience installing and leading the adoption of best practice processes, methods, and technologiesLocation Requirements, • Based in New York, NY with occasional travel to other Client X’s locations

Stand8 Technology Consulting is seeking a network engineer in Mexico City to design, implement, and support enterprise network technologies, especially in Azure cloud networking. The role involves providing Tier 3 support for complex global networks and collaborating closely with engineering and sec

Job Description Maxana is seeking an experienced Infrastructure Engineer for a confidential client — a fast-growing AI company. In this role you will build and maintain the platform layer supporting large-scale ML training, inference, and deployment. This is a high-impact role at the intersection of cloud infrastructure and ML systems. Key Responsibilities • Build and maintain infrastructure supporting large-scale ML training and inference workloads, • Work with GPU and compute infrastructure, distributed systems, and cloud-native platforms, • Improve reliability, observability, and performance across the platform layer, • Collaborate directly with senior engineers and product teams on architecture decisions, • Own production reliability — monitoring, incident response, and proactive risk reduction, • Develop and maintain internal tooling and automation to support engineering operations Requirements • 5+ years of infrastructure or platform engineering experience in a production environment, • Strong distributed systems background — experience with large-scale compute workloads preferred, • Cloud-native infrastructure experience — AWS, GCP, or Azure; Docker and Kubernetes required, • Familiarity with ML infrastructure a strong plus — training pipelines, inference serving, GPU workloads, • Experience owning production reliability end to end Benefits • Competitive base salary ($130,000-$240,000) + equity, • Medical, dental, and vision, • Flexible paid time off, • Learning and development stipend, • Working at the forefront of AI infrastructure at scale

Job DescriptionFull-time Staff Software EngineerAbout Us We are a dynamic and innovative technology company dedicated to creating cutting-edge software solutions that transform businesses and enhance user experiences. Our team of passionate professionals works collaboratively to tackle complex challenges and deliver high-quality products that make a difference in the world. Job Overview We are seeking a highly skilled and experienced Full-time Staff Software Engineer to join our growing team. As a Staff Software Engineer, you will play a crucial role in designing, developing, and maintaining our core software products. You will be responsible for leading technical initiatives, mentoring junior developers, and contributing to the overall architecture and direction of our software systems. Key Responsibilities • Design, develop, and maintain complex software systems using a variety of programming languages, frameworks, and technologies, • Lead the development of new features and improvements to existing products, ensuring high-quality code and optimal performance, • Collaborate with cross-functional teams, including product managers, designers, and other engineers, to define and implement technical solutions, • Provide technical leadership and mentorship to junior developers, fostering a culture of continuous learning and improvement, • Participate in code reviews, ensuring adherence to best practices, coding standards, and architectural guidelines, • Contribute to the overall software architecture and technology stack decisions, • Identify and resolve complex technical issues and bottlenecks in the development process, • Stay up-to-date with emerging technologies and industry trends, evaluating their potential impact on our products and processes, • Write and maintain technical documentation for software systems and processes, • Participate in agile development processes, including sprint planning, daily stand-ups, and retrospectives, • Collaborate with DevOps teams to ensure smooth deployment and operation of software systems, • Contribute to the development of internal tools and frameworks to improve team productivity and efficiency Required Qualifications • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field, • 7+ years of professional software development experience, • Strong proficiency in full-stack development, including both frontend and backend technologies, • Expert-level knowledge of at least one modern programming language (e.g., JavaScript, Python, Java, C#, Go), • Extensive experience with web technologies, including HTML5, CSS3, and modern JavaScript frameworks (e.g., React, Angular, Vue.js), • Strong understanding of backend technologies and frameworks (e.g., Node.js, Django, Spring, ASP.NET Core), • Experience with database systems, both relational (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB, Cassandra), • Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud), • Strong understanding of software design patterns, algorithms, and data structures, • Experience with version control systems (e.g., Git) and collaborative development

Drive compliance with architectural principles and engineering standards across application software engineering. Engineer robust solutions using Microsoft Azure, PaaS services,. Mentor junior engineers, foster continuous improvement, and uphold clean code principles.

Knowledge of cloud storage services (Netapp StorageGrid AWS S3/EBS, Azure Blob Storage, Google Cloud Storage) and hybrid architectures. Position: Storage Engineer Location: Remote Compensation: $200-250K Responsibilities Design, implement, automate and maintain global storage solutions, including SA

Job Description Our client is a recently acquired SaaS startup based in New York City that is currently hiring a Full-Stack Software Engineer. They are a 100+ person software company with top-tier talent. The Software Engineering Team is looking for Developers with 5-7+ years of experience. Hands-on work with React.js, Golang, PostgreSQL, Multi-Cloud (such as AWS, GCP, and/or Azure into a single infrastructure.) The role is ideally NYC Hybrid preferred but open to remote for the right person. This position is hands-on architecture, design and implementation of production level code. Candidates must demonstrate excellent communication and organizational skills. This role features competitive base salary, equity and benefits.

A growing IT solution provider is seeking an experienced System Engineer to work remotely. The ideal candidate will have over 7 years of experience in systems engineering, focusing on designing and managing IT infrastructure across platforms like Azure and AWS. Responsibilities include administering

Job Description Role: Senior AI Engineer (GenAI & Azure/ .NET Full-Stack Integration) Experience: 10–12 Years Location: United States Role Summary: We are looking for a Senior AI Engineer to build and maintain an automated insurance document processing system. You will bridge the gap between advanced GenAI capabilities and production-grade software, writing the code that extracts data from emails, enriches it via web scraping, and serves it through a modern React interface. Key Responsibilities: • LLM Implementation: Build and optimize prompts and "Agentic" workflows to convert complex insurance documents into precise JSON formats for storage in SQL/Cosmos DB., • Feature Development: Develop and maintain business logic within .NET Core APIs and create intuitive UI components in React for data validation and risk assessment., • Data Enrichment: Build web-scraping pipelines to gather external ratings and risk data, implementing fuzzy matching logic to reconcile customer identities., • Optimization: Implement Azure AI Foundry for model monitoring, focusing on reducing latency and costs in the RAG pipeline., • 10+ years of professional engineering experience with a heavy focus on GenAI integration., • Proficiency in .NET Core, React, and Python-based AI frameworks (LangGraph, Semantic Kernel, or FastAPI)., • Hands-on experience with Azure AI Search, RESTful API design, and CI/CD (GitHub Actions/Azure DevOps)., • Ability to translate complex business rules into both deterministic code and LLM prompts.

Job DescriptionSalary: $130,000 $140,000 Data Engineer FLSA Classification: Exempt Professional Position Summary The Data Engineer serves as a consultative technology partner to the business, responsible for designing, building, and optimizing data and automation solutions that improve operational efficiency, reporting accuracy, and decision-making across the organization. This role exercises independent judgment and advanced technical expertise while working directly with senior stakeholders. Essential Duties and Responsibilities • Partner with business stakeholders to identify automation and data optimization opportunities., • Translate business requirements into scalable technical architecture and solutions., • Architect, build, and optimize structured data pipelines and reporting environments using Azure SQL, Power Query, and related data technologies., • Implement and manage automation platforms in collaboration with vendors or internal teams, including Power Automate, Monday.com, Workato, and Power BI., • Experiment with AI tools such as ChatGPT and Microsoft Copilot to identify practical, scalable use cases., • Assess feasibility, limitations, and risks of AI-driven solutions, escalating mature ideas to specialized tools or applications when appropriate., • 5+ years of experience in data engineering, automation, or business-facing technical roles., • Advanced experience with relational databases (e.g., Azure SQL) and data transformation tools., • Experience implementing business process automation platforms., • Experience in Private Equity, financial services, or regulated environments, • Experience with Power BI reporting environments, • Exposure to enterprise AI/ML implementations Primarily office-based work requiring prolonged computer use and the ability to sit for extended periods. Compensation The base salary range for this position is $130,000 $140,000 annually. Final compensation will be determined based on experience, skills, and internal equity. Employment Statement Chelsea Tech is an at-will employer. This job description is intended to describe the general nature and level of work being performed and is not intended to be an exhaustive list of all responsibilities, duties, and skills required. Chelsea Tech is an equal opportunity employer and complies with all applicable federal, state, and local employment laws.

Job Description Maxana is seeking an experienced Backend Engineer for a confidential client — a well-funded AI platform company used by ML teams globally. In this role you will own features end to end across APIs, CLI tooling, billing systems, and platform integrations. The team is small and senior, the engineering bar is high, and you will work directly with product and engineering leaders. Key Responsibilities • Write clean, efficient, production-grade code in Go (Golang), • Build and scale APIs, CLI tools, billing systems, and security integrations, • Set technical direction for large projects alongside engineering and product leadership, • Evaluate and strengthen technical architecture, tooling, and processes, • Champion software quality, drive continuous delivery, and proactively reduce technical debt, • Mentor engineers on system design and operating in high-uncertainty environments Requirements • 5+ years of production Go experience in a SaaS environment, • Broad knowledge of backend and frontend systems — APIs, CLIs, billing, security protocols, • Experience with cloud platforms: AWS, GCP, or Azure, • Familiarity with containerization — Docker and Kubernetes a strong plus, • Prior startup or high-growth company experience required, • Competitive base salary + equity ($110,000–$270,000 range), • Medical, dental, and vision, • Flexible paid time off, • Learning and development stipend, • Working for a globally recognized company

Job Description Lead Staff Software Engineer We are looking for a deeply hands-on staff engineer to help build a production-grade platform from the ground up inside a financial services environment. This is a design, build, and scale from zero opportunity. You will operate across backend systems and infrastructure, owning everything from async processing and external integrations to cloud architecture, deployment pipelines, and reliability. If you have built greenfield systems that had to actually work in the real world; secure, observable, and resilient than this is your lane. You will own the core system end-to-end: • Design and build backend services, async workers, and event-driven workflows powering the product, • Develop and maintain integrations with external enterprise systems and APIs, • Architect workflow and state management systems (think orchestration, retries, failure handling), • Build the cloud foundation: infrastructure, environments, and deployment architecture, • Own infrastructure-as-code and ensure environments are reproducible and scalable, • Design and implement CI/CD pipelines with a strong focus on safe, reliable releases, • Establish observability across the stack: logging, metrics, tracing, and alerting, • Build for failure: retries, recovery strategies, backups, and disaster readiness, • Partner closely with product and engineering to define system boundaries, contracts, and rollout strategies Ideal experience: • Proven experience building 0→1 systems that made it to production in real environments (ideally financial services or similarly regulated domains), • Strong backend engineering skills in Python, with experience in frameworks like FastAPI (or similar), • Deep experience with asynchronous systems, job workers, and distributed processing, • Track record integrating external APIs and enterprise platforms in production, • Strong data layer experience (Postgres/SQL, data modeling, performance tuning), • Hands-on experience with cloud infrastructure (AWS preferred, Azure a plus), • Strong Terraform (or equivalent IaC) experience, • Experience with containerized deployments (ECS or similar) and cloud networking, • Built and operated CI/CD pipelines with an emphasis on release safety and rollback strategies, • Strong observability mindset (metrics, logs, tracing) and real incident response experience, • Solid understanding of cloud security, secrets management, and access controls, • Systems thinker: you naturally design for reliability, failure modes, and long-term maintainability Bonus • Familiarity with AI/model API integrations (e.g., OpenAI or similar) This role is for someone who wants to own meaningful surface area, make foundational decisions, and build something that doesn’t exist yet while holding a high bar for reliability, security, and real-world operability.

A leading electronics company is seeking a Sales Engineer - Cloud to drive technical programs and support channel partners across North America. The successful candidate will have expertise in Microsoft Azure and other cloud platforms, with a strong sales mindset.

Job Description Job Title: Director of Technology & Innovation Type: Direct Hire Work Location: REMOTE (NYC preferred) Job Overview: Our client is seeking a Director of Technology & Innovation to own two interconnected mandates: building a best-in-class AI-native internal platform and serving as a hands-on technology advisor and builder across the firm's portfolio of mid-market companies. In the near term, this role is focused entirely on delivering internal platform - an AI-native application that will become the firm's single source of truth across the full private equity lifecycle, from deal sourcing and due diligence through closing and value creation. This platform is currently in MVP stage and is designed to replace a fragmented toolset including Smartsheet, Monday.com, and Guru. As the internal platform reaches production and transitions to steady-state maintenance, the role will evolve to include a growing portfolio-facing mandate: conducting technology and AI discovery across portfolio companies, identifying automation and innovation opportunities, and building or implementing tools that drive measurable value creation. This person will work directly with portfolio company leadership and operating teams on execution, in close collaboration with the VP of Technology Operations on strategy and approach. This is a rare opportunity to shape technology strategy at both the firm and portfolio level - for a candidate who thrives at the intersection of hands-on building and strategic advisory. Essential Job Responsibilities: Phase 1: Internal AI-Native Platform: • Own the end-to-end product vision, roadmap, and delivery of internal platform in close collaboration with the VP of Technology Operations and senior leadership, • Translate requirements from the deal team and value creation professionals into prioritized product specifications and shipped features, • Rapidly prototype and iterate using the Microsoft Azure stack and Claude Code, with a strong AI-native design philosophy, • Manage integrations with and data migration from Smartsheet, Monday.com, and Guru into the unified platform, • Establish the platform as the firm's authoritative system of record across deal sourcing, due diligence, closing, and portfolio management, • Transition the platform to steady-state maintenance and support, with documentation and operational runbooks to support the handoff Phase 2: Portfolio Technology & Innovation:, • Conduct structured technology and AI discovery engagements across portfolio of mid-market companies (~7 portfolio companies, subject to change), • Identify high-impact automation, AI, and digital transformation opportunities at the portfolio company level - spanning operations, finance, sales, and customer experience, • Build, configure, or implement tools and solutions directly at portfolio companies, working hands-on with their leadership and operating teams on execution, • Partner with the VP of Technology Operations to develop a repeatable framework for technology value creation that can be deployed across the portfolio, • Serve as a credible technology advisor to portfolio company executives and IT teams, bridging investment thesis with practical technology execution, • Collaborate closely with the VP of Technology Operations on technology strategy, portfolio planning, and prioritization, • Stay current on AI, automation, and enterprise technology trends relevant to mid-market companies and private equity operations, • Identify opportunities to leverage tools and patterns developed for one portfolio company across the broader portfolio, • 8-12+ years of experience spanning software engineering, technical product ownership, or technology consulting - with a demonstrated track record of shipping products end-to-end, • Prior experience working with or within private equity, portfolio operations, or management consulting is strongly preferred, • Proven ability to conduct technology discovery and deliver recommendations and implementations at the business unit or company level, • Hands-on proficiency with the Microsoft Azure stack and modern AI development tools, including Claude Code, • Experience building and deploying AI-native applications and integrating LLMs into business workflows, • Demonstrated ability to engage executive stakeholders (CEO, CFO, COO) as a credible technology advisor while also executing hands-on TECHNICAL SKILLS:, • Microsoft Azure (Azure OpenAI, Azure DevOps, Azure SQL, Cosmos DB, Azure Functions, Azure App Service, or similar), • Claude Code and AI-assisted development for rapid design iteration and delivery, • Data modeling, API design, and system integration - including experience migrating data between enterprise platforms, • Familiarity with workflow and collaboration tools (Smartsheet, Monday.com, Guru, or equivalents) and their limitations at scale, • Exceptional communicator - able to translate complex technical concepts for non-technical business audiences and influence without authority, • Highly adaptable - comfortable switching contexts between firm-level platform work and portfolio company engagements, • Strong executive presence - able to build credibility quickly with portfolio company leadership teams, • High ownership mentality with a bias toward delivery over deliberation CERTIFICATIONS: • Azure AI Engineer Associate (AI-102) - Strongly preferred - validates hands-on Azure OpenAI and AI services experience, • Azure Solutions Architect Expert (AZ-305) - Differentiator - signals deep platform architecture capability, • Azure Fundamentals (AZ-900) - Baseline Azure fluency signal for candidates newer to the stack, • Certified Scrum Product Owner (CSPO) - Validates structured product ownership methodology #LI-DK1 A reasonable estimate of the Base Salary for this role is $170,000 - $225,000 per year. The disclosed pay range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. The compensation decisions are dependent on the facts and circumstances of each case, such as skills and experience levels. Meet Your Recruiter Dolly Karnani

Senior Software Engineer About Titan: Titan is an AI holding company transforming IT services with its Augmented AI platform. We acquire and partner with the best Managed Service Providers (MSPs) and embed AI at the core of their operations, empowering technicians to work faster, smarter, and more strategically. Our augmented AI platform enables MSPs to scale like technology companies while delivering faster resolutions, better uptime, and more proactive, personalized support for their customers. In under a year, we've raised over $70M from General Catalyst, acquired market-leading MSPs like RFA, and deployed agents seeing real-world impact to productivity. Our team bring together AI product expertise from Scale AI, Google, MIT, and Stanford with private equity experience from H.I.G. Capital and seasoned MSP executives who have led some of the industry's top providers. Joining Titan means helping to redefine how work is done in IT Services and building a $100B company. About The Role: As a Senior Software Engineer at Titan, you'll play a pivotal role in shaping the future of AI-powered IT service delivery. You'll work across the stack to build intuitive, high-impact products that blend human expertise with autonomous AI agents, transforming how managed service providers (MSPs) operate. This is an opportunity to join an early-stage team, have meaningful product ownership, and help define the engineering culture as we scale. What You Will Do: * Design, build, and maintain scalable backend systems that power AI-driven automation. * Develop APIs and services that integrate AI models into customer-facing applications. * Collaborate with AI and frontend engineers to integrate our AI-powered platform into customer-facing tools. * Drive technical decisions around system architecture, scalability, and best practices as we scale. * Ship fast and iterate, balancing speed with quality in a fast-paced, startup environment. Who You Are: * 4+ years of software engineering experience, with expertise in building and scaling web services. * Strong proficiency in Python, Node.js, or Go, with experience in cloud-based architectures (AWS, GCP, or Azure). * Familiarity with AI/ML-driven systems or real-time data processing is a plus. * User-focused builder - you care deeply about the customer experience and sweat the details. * Startup mindset - comfortable with ambiguity, eager to take ownership, and ship quickly. * Bonus: Experience integrating LLMs, AI-powered automation, or observability tools is a plus, but not required.

About Adaptive NVIDIA and OpenAI's only AI cybersecurity investment. Adaptive is a cybersecurity startup on a mission to stop AI-powered cyberattacks. In December 2025, the company announced an $81M Series B led by NVIDIA and Bain Capital Ventures, with participation from Capital One Ventures, Citi Ventures, and continued support from Andreessen Horowitz (a16z), the OpenAI Startup Fund, and Abstract Ventures. The round marked NVIDIA's first AI cybersecurity investment. Adaptive was founded by Brian Long and Andrew Jones, repeat entrepreneurs who have built and scaled category-defining companies. Brian and Andrew previously co-founded Attentive, which grew to more than $500M in annual revenue and a $10B+ valuation, and TapCommerce, which was acquired by Twitter. Together, they bring deep experience building high-growth, product-led businesses at massive scale as Adaptive builds the security layer for the AI era. Trusted by leading banks, technology companies, and healthcare organizations, Adaptive protects teams from emerging threats like deepfakes, smishing, and AI-powered voice scams. With rapid enterprise adoption and a $200B+ market ahead, the company is just getting started. Role We are seeking a Software Engineer with a passion for developing high-quality software in a high-growth startup environment where every engineer has outsized impact on the product and company. You will ship real features to real customers from day one, building products that define AI cybersecurity. As you grow here, you'll develop deep technical judgment and your own perspective on where the product should go. Responsibilities • Build and ship features across the full stack - frontend, backend, and infrastructure., • Write clean, tested code that other engineers can understand and build on., • Work side-by-side with product and design - roles blur here, and engineers have influence on what we build and why., • Develop your own perspective on the product by engaging directly with customer feedback., • Continuously improve your craft - we invest heavily in tooling, including AI coding assistants. Qualifications, • 1-4+ years of experience building customer-facing software., • Bachelor's degree or equivalent experience in Computer Science, Software Engineering, or a related field., • Strong development experience with modern, strongly-typed programming languages such as Java, C#, TypeScript, or Go., • Proficient with SQL databases and relational schema design., • Familiarity with frameworks such as Spring Boot and React/Redux is a plus., • Experience deploying software in distributed environments (AWS, GCP, Azure)., • A full-stack, can-learn mindset - willing to work outside your comfort zone across frontend, backend, and infrastructure., • Strong problem-solving skills and the humility to seek, receive, and incorporate feedback. What We Offer, • An opportunity to work on a challenging product that will impact millions of people, • A culture that promotes continuous learning and growth, with access to resources and mentorship to advance your skills and career., • A supportive, inclusive environment where every team member's contribution is valued. Compensation & Benefits:, • Competitive cash compensation and meaningful stock., • Several medical plans to choose from, most covered at 100% by Adaptive., • 401k through Vestwell., • Unlimited PTO, including winter break from Dec 24 - Jan 1., • A fantastic office atmosphere including coffee, espresso, lounge, snacks, whiteboards, and tons of conference space., • Rotating choice of 4 free lunch options from local restaurants every day., • Expense dinner if you're in the office past 7pm. Expense Uber if you happen to stay past 9pm. Environment This role is located in New York City, and requires the candidate to work from our office in New York City five days a week. If you are eager to apply your skills in a dynamic, collaborative environment, and are passionate about building systems that are both powerful and accessible, we would love to hear from you.