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Senior Lead Machine Learning Engineer (Intelligent Foundations and Experiences) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Lead dedicated pods of software, data and machine learning engineers in building AI/ML capabilities for Credit and Financial Risk Management products, serving as a technical mentor to the team on these core technologies Design, build, and deliver AI-powered products and components that solve real-world business problems, leveraging expertise in model experimentation, LLM inference, similarity search, and agentic AI within a collaborative Product and Data Science environment Collaborate with a cross-functional team of engineers, data scientists, and designers to develop and scale AI-powered products that enable optimized associate performance and deliver world-class customer value Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Leverage a broad stack of Open Source and SaaS AI technologies and use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor’s Degree At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a similar field 6+ years of experience designing, developing, delivering, and supporting AI services at scale 3+ years of experience developing AI and ML algorithms or technologies using Python 2+ years of experience with Retrieval Augmented Generation (RAG) Experience staying abreast of latest ML research with an intuitive ability to understand scientific publications and judiciously apply novel techniques in production Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance 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. Cambridge, MA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Richmond, VA: $209,000 - $238,500 for Sr. Lead Machine Learning 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 RecruitingAccommodation@capitalone.com. 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 Careers@capitalone.com 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).

About the Startup • Seed-stage startup ($3M raised) founded by talent from Google, Meta, and Merck, • Building AI agents to automate and improve clinical trial data review across complex data sources, • Platform helps pharma sponsors and CROs clean, analyze, and validate study data faster and more reliably than manual processes About the Role You'll be our first engineering hire outside the founding team, joining a working platform with paying customers. You will report directly to the CTO and own significant parts of the platform alongside the founding team. You will make architectural decisions that shape the product for years, work directly with pharma customers on problems that have never had good software solutions, and help build the engineering culture of a company shipping serious software into a highly regulated industry. This is a hands-on, high-ownership role. You will write production code every day and set the bar for what we ship. For the right person, we see a clear path into Head of Engineering as the team grows, with the opportunity to hire, lead, and shape the engineering org. What you'll work on Architecting and scaling our AWS infrastructure to support a growing portfolio of trials, while maintaining the security posture pharma IT teams expect (SSO, WAF, SIEM, pen testing) Building robust, flexible data integrations across the fragmented landscape of clinical trial data sources, dictionaries, and standards Designing the infrastructure that makes a hybrid LLM and heuristic system reliable enough for regulated use: evaluation pipelines, reproducibility, audit trails, and guardrails Working directly with customers (data managers, medical monitors, biostatisticians) to understand their workflows and pain points, and translating what you learn into product Partnering on deployments, sandbox environments, and pilot studies Setting technical direction: stack choices, code review standards, testing discipline, deployment workflows Tech Stack Our Stack Python and TypeScript, Postgres, AWS. Comfort with these is a plus, but strong engineers who have worked in adjacent stacks will pick them up fast. Core • 5+ years shipping production software, • Strong backend fundamentals in Python, with willingness to work full-stack in TypeScript when needed, • Solid database design, ideally with Postgres at scale, • Comfort with AWS and modern deployment workflows, • Ability to reason about system design under real constraints: correctness, auditability, and performance on messy real-world data, • Comfort talking to non-technical users and turning what you hear into good software Nice to Have • Life sciences, clinical trials, or healthcare software experience (EDC systems, clinical data management, regulatory software), • Production experience with LLM-powered applications (evals, prompt design, structured outputs, tool use), • Previous startup or founding engineer experience, • Frontend fluency in React • SOC-2 or HIPAA compliance experience

Computer Science, Computer Engineering, Electrical Engineering, or a related field with. SnapLogic is seeking a Staff Software Engineer to join our Agent Creator Team. As a Staff Software Engineer, you’ll take ownership of the design, development, and deployment of complex integrations that utiliz

This DevOps Engineer will focus on enhancing the efficiency and reliability of the software development and deployment processes. As a DevOps Engineer at Creyos, you will:. Establish best practices and standards for the DevOps team including policies, procedures, runbooks, and disaster recovery proc

Conduct requirements gathering and analysis to understand the domain of the software problem and/or functionality, the interfaces between hardware and software, and the overall software characteristics. Software Engineer Professional (Pembroke, MA). Support software testing, deployment, maintenance,

Sony Interactive Entertainment LLC seeks a Senior DevOps Engineer in San Diego, CA to ensure the development, design, testing, and deployment of AEM assets and sites, as well as Adobe Marketing Cloud tools and products. Requires a Bachelor’s degree in Computer Science, Engineering (any), or relate

As a Senior DevOps Engineer, you will play a crucial role in designing, implementing, and maintaining our infrastructure and deployment pipelines. You will have the opportunity to make a significant impact on our infrastructure and DevOps practices, and help us build scalable, secure, and reliable s

Pager Health is a connected health platform company that enables healthcare enterprises to deliver high-engagement, intelligent health experiences for their patients, members and teams through integrated technology, AI and concierge services. Our solutions help people get the right care at the right time in the right place and stay healthy, while simultaneously reducing system friction and fragmentation, powering engagement, and orchestrating the enterprise. Pager Health partners with leading payers, providers and employers representing more than 28 million individuals across the United States and Latin America. We believe that healthcare should work for everyone. We believe that it’s too important to be as cumbersome and difficult as it is. And we believe that there is a better way to deliver a simplified, more meaningful healthcare experience for all – one that we’re determined to enable. Summary: Pager Health is seeking a Staff Engineer who excels in understanding business goals through insightful questioning. This role involves designing sophisticated healthcare applications, mentoring senior engineers, and collaborating closely with Product and Design teams. Your work will be crucial in delivering cutting-edge healthcare applications that enhance the digital experience for patients and streamline collaboration and integration for enterprise users within the healthcare system. Responsibilities • System Design & Architecture: Lead the design and architecture of complex systems, ensuring scalability and performance. You will play a key role in shaping the future of our next gen products in health and wellbeing, delivering new and innovative experiences to our growing customer base, • Technical Leadership: Provide technical leadership and mentorship to the engineering team, especially to senior engineers, promoting best practices and high coding standards., • Code Development: Write, review, and maintain code in a variety of languages and frameworks, such as NestJS .NET, TypeScript, React, ensuring high quality and adherence to company standards., • Cross-functional Collaboration: Work closely with product managers, designers, and other engineering team leaders to define technical requirements for complex, multi-projects and ensure alignment with business goals., • Project Management: Manage and prioritize multiple projects and tasks, ensuring timely delivery of high-quality software. Engage in all stages of the software development lifecycle, from project planning, design, to coding, testing, deployment, and production monitoring., • Problem Solving: Identify and resolve complex technical issues, often involving debugging, performance tuning, and optimizing code in order to minimize customer disruption and enhance overall system performance, • Continuous Improvement: Advocate for and implement continuous improvement processes within the team, including code reviews, automated testing, internal tooling, and CI/CD practices. Provide a vision for improving developer experience, simplifying the complexity of systems, and removing tech debt., • Infrastructure Management: Lead the full stack product engineering team to own the development and maintenance of the infrastructure required to support software applications, including cloud services in GCP, front-end and back-end services, databases, and deployment pipelines., • Agile Methodologies: Actively participate in Agile development processes, including refinement of the team’s Product Backlog, estimating work and other Agile ceremonies. As a strategic voice to the team, provide active input on how to streamline software development processes in order to improve developer velocity and decrease engineering overhead., • Innovation & Research: Stay current with industry trends and emerging technologies, fostering a culture of learning innovation within the team and company. Qualifications • 7+ years of experience in designing, building, and deploying large, scalable distributed systems and microservices architectures., • System Design & Architecture: Proven ability to lead the design and architecture of complex systems, ensuring scalability and performance., • Technical Leadership: Ability to provide technical leadership and mentorship to engineering teams, particularly senior engineers, promoting best practices and high coding standards., • Cross-functional Collaboration: Strong capability to work closely with product managers, designers, and other engineering team leaders to define technical requirements and ensure alignment with business goals., • Strong understanding of relational databases, including query optimization and data modeling principles., • Excellent communication: Excellent written and verbal communication skills, capable of articulating complex technical concepts to both technical and non-technical audiences., • Independence and Curiosity: Highly independent and curious, demonstrating efficiency in utilizing available resources and thinking creatively to find solutions., • Expertise in at least one framework, such as TypeScript, Next.js, Nest, or React., • Hands on experience with .NET and C#., • Practical experience with cloud platforms like AWS or GCP, including containerization technologies like Docker and Kubernetes. Experience in developing infrastructure as code to deploy software applications, cloud services, front-end and back-end services, databases, and ci/cd pipelines., • Schedule Flexibility: Ability to work on-call rotation as incident escalation SME on weekend and holiday hours, at a cadence around once every 2-3 months. For Colorado, Nevada, New York, and Washington DC-based employment: In accordance with the Pay Transparency laws the pay range for this position is $170,000- 180,000. The compensation package may include stock options, plus a range of medical, dental, vision, financial, generous PTO, stipends for professional development, and wellness benefits. Final compensation for this role will be determined by various factors such as a candidate's relevant work experience, skills, certifications, and geographic location. The range listed only applies to Colorado, Nevada, New York, and Washington DC. At Pager Health, you will work alongside passionate, talented and mission-driven professionals – people who are building scalable platforms, solving critical enterprise-level challenges in health tech and providing concierge services to help individuals access the medical care and wellbeing programs they need. You will be encouraged to shape your job, stretch your skills and drive the company’s future. You will be part of a remote-first, dynamic and tight-knit team that embraces the challenges and opportunities that come with being part of a growth company. Most importantly, you will be an industry innovator who is making a positive impact on people’s lives. At Pager Health, we value diversity and always treat all employees and job applicants based on merit, qualifications, competence, and talent. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Please be aware that all official communication from Pager Health regarding employment opportunities will originate from email addresses ending in @pager.com. We will never request personal or financial information via email. If you receive an email purporting to be from Pager Health that does not adhere to this format, please do not respond and report it to security@pager.com. Pager Health is committed to protecting the privacy and security of your personal information

If you think your skills, experience and aspirations make you a good match for this position, we encourage you to apply. This position may be filled anywhere in the United States. ABOUT THE ROLE Facility Optimization Solutions (FOS), a subsidiary of CannonDesign, is seeking an experienced and highly skilled Senior Software Engineer to join our FOS products team. Reporting to the Director of Software Engineering, you will play a key role in designing, developing, and implementing robust and scalable SaaS solutions. You will contribute significantly to technical architecture, ensuring our engineering practices meet high standards and align with the overall enterprise strategy. This role requires both people leadership and a strong individual contributor mindset with a passion for technical excellence, mentorship, and collaborative problem-solving. You will work closely with cross-functional teams, including product management, design, and other engineering functions, to translate business requirements into technical specifications and deliver high-quality products that delight our internal and external clients. As part of the recruitment process, selected candidates will be required to complete online skills assessments through Karat, including a 15-minute assessment measuring proficiency in Algorithms, Data Structures, and Back-end, and a one-hour technically based interview. HERE'S WHAT YOU'LL DO • Contribute to the design and implementation of scalable, robust, and secure application architecture under the guidance of the Director of Software Engineering., • Lead a team of developers through the full software development lifecycle — from design and development to deployment and ongoing support of SaaS products., • Drive the adoption of best practices in software engineering within your team, focusing on DevOps competencies (CI/CD), monitoring and observability, performance, and automated testing., • Oversee modernization efforts - including maintenance and migration of legacy applications while ensuring minimal disruption to existing customers., • Ensure compliance with SOC2 controls by embedding evidence collection, access management, and secure development processes into daily workflows., • Set high standards for code quality by modeling clean, maintainable coding practices and guiding the team through effective peer reviews., • Work across teams to ensure seamless integration and successful deployment of applications., • Assist in the architectural design of SaaS software systems and implement key architectural initiatives as directed., • Continuously assess and improve system performance ensuring accuracy, reliability, and scalability and drive root cause analysis for production issues., • Stay current with industry trends, emerging technologies, and best practices in software engineering and architecture. HERE'S WHAT YOU'LL NEED • Bachelor’s degree in computer science, software engineering, or a related field required. Master's degree preferred., • Minimum of 10+ years of qualifying experience in software engineering., • Minimum of 5 years’ experience in SaaS application development., • Working knowledge of VB.NET along with proficiency in multiple programming languages is highly preferred - especially C#, React, Node.js, Python, and TypeScript., • Experience with implementing and maintaining SOC2 type2 certification in SaaS products is preferred., • Demonstrated ability to architect, design, build, and integrate frontend user interfaces, backend services, and APIs., • Strong understanding of software architecture patterns, cloud computing, APIs, deprecating services, and DevOps practices such as CI/CD and source control (Git)., • Experience leading hybrid onshore and offshore software engineering teams is preferred., • Excellent communication and interpersonal skills, with the ability to effectively collaborate with technical and non-technical stakeholders. The salary range for this position is $148,000 to $175,000 annually. This salary range is the range we believe is the anticipated range of possible base compensation at the timing of the posting. We may ultimately pay more or less than the anticipated salary range for the position. Employees may be eligible for discretionary bonuses. We offer a full benefit package including medical, dental and vision coverage and flexible spending account options and voluntary insurances. We have paid time off, flex-time schedules, remote work options and a 401k plan and employee perk programs. For a general overview of our benefits, please visit our careers page at _. Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level. FOS is a multidisciplinary professional services and software consultancy founded on the core value that clients are our most important partners. FOS began with a good idea – seeing the need to help facility managers identify what they own, the condition of their facility, and how best to use this data for future capital planning. FOS started as a small operation in 2009 and has grown into a major, multi-office practice that is ranked #1 world-wide for facility-related services by World Architecture 100. Please note that candidates can only apply to our positions on our company Careers site. It is not uncommon for scammers to create positions that look legitimate on other sites; never enter your information or apply for CannonDesign positions on any platform. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume and portfolio when applying. As a condition of employment, all employees are expected to complete mandatory training, including compliance training, within required time frames and adhere to our internal policies and our Code of Conduct. Facility Optimization Solutions LLC. and CannonDesign is an Equal Opportunity Employer. CannonDesign is an Equal Opportunity Employer. CannonDesign is committed to maintaining a work environment that is free from any and all forms of unlawful discrimination and harassment. It is therefore the firm’s policy to prohibit discrimination and harassment against any applicant, CannonDesign employee, vendor, contractor, or client on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, pregnancy, veteran status, genetic information, citizenship status, or any other basis prohibited by applicable law. It is also CannonDesign’s policy to prohibit any and all forms of retaliation against any individual who has complained of harassing or discriminatory conduct, or participated in a firm or agency investigation into such complaints. ABOUT WORKING HERE • We are relentless in our pursuit of client adoration (not simply satisfaction). Consistent delivery of the best service is what we are about., • We are committed to ensuring our practice provides equal opportunities for all employees, as we strive to connect with communities around us and focus on the future of design. We support equity, diversity, and inclusion efforts that benefit all employees through the leadership of our DEI Council, our Employee Resource Groups which are open to everyone, and other community initiatives., • We’re about communication and transparency here. If you want to talk to someone about an idea you have, or a challenge that needs addressing, we’re ready for you.

Resource Innovations is seeking Senior Software Engineer to join our growing Software as a Service (SaaS) team. As a hands-on technical lead at Resource Innovations, you will be instrumental in the design, development and deployment of innovative cloud-based enterprise software used by leading Energy organizations. We are looking for candidates who want to work on things that make an impact on the world and are passionate about product craftsmanship. This is remote position requiring occasional in-person office meetings for candidates residing in one of the following metro areas Maison, WI, Chicago, IL, San Francisco CA, Phoenix AZ, Denver CO, or Salt Lake City. We require candidates to currently reside in the United States. We are not offering visa sponsorship or extensions for this position. Resource Innovations (RI) is a women-led energy transformation firm focused on impact. Building on our expertise in energy efficiency, we're constantly expanding our portfolio of clean energy solutions to guide utilities through increasingly complex, connected challenges. Load flexibility. Electrification. Carbon reduction. With every step, we're leading the charge to power change. Duties and Responsibilities • Lead the architecture and design of a scalable, efficient and secure SaaS product using Laravel, Vue.js and Tailwind CS, • Collaborate closely with cross-functional teams, including designers, project managers, and program teams to deliver on a Software SaaS Product that align with business and customer needs, • Ensure product adheres industry best practices in terms of performance, security, and scalability, with an emphasis on sustainability and energy efficiency, • Participate in code reviews, providing constructive feedback to peers and helping to elevate the overall quality of the codebase., • Mentor other software engineers and contribute to fostering a culture of continuous learning and innovation within the engineering team., • Debug and troubleshoot complex issues across the full stack of technologies to ensure optimal performance and a seamless user experience., • Stay current with emerging technologies and industry trends to recommend innovative solutions for future projects., • Engage in the full software development lifecycle, from requirement analysis to deployment and maintenance of the SaaS product., • Contribute to the strategic direction of software development within Resource Innovations, focusing on products that support energy efficiency and decarbonization efforts., • Other duties as assigned., • Expertise in PHP (8.x): Advanced understanding of object-oriented PHP, language features and best practices, • 10+ years of previous hands-on experience building software utilizing PHP frameworks, e.g. Laravel, • Building RESTful APIs - implementing various types of APIs that are stable and integrate with other services, • Familiarity with Laravel's architecture, features and functionality, • Knowledge of many of Laravel's ecosystem of tools, • 6+ years of previous experience building software utilizing Vue or similar JS frameworks, • Experience with typescript, • Building and designing single page applications using composition API, • Strong experience with state management and handling, • Component and modularized based design, • Understanding of various build tools (e.g. vite, npm), • Experience with leading the architecture, design and development of features for scalable SaaS platform, • Experience using problem solving skills without being afraid of diving in and working out a problem, • Proficient with Git and Git-based workflows, • Experience with AWS Cloud infrastructure management and Serverless environments, • Ability to work on deployment patterns found within Laravel's ecosystem, • Working with and interpreting cloud-based monitoring and alerting systems (e.g. New Relic, Cloudwatch), • Personal responsibility and self-motivation & flexibility to adapt and maintain productivity, features and stability, • Knowledge of working within an agile/scrum team-based environment to design, develop a Software SaaS product, • Experience writing with and working on testable and functional code including writing tests with Pest / PHPUnit Preferred skills, education and experience • Bachelor’s degree in computer science or related discipline, • Proven track record of developing SaaS based commercial software products, • Experience with Data Analytics, Reporting and Business Intelligence platforms, • Familiarity with NodeJS About Resource Innovations Resource Innovations (RI) is a women-led energy transformation firm focused on impact. Building on our expertise in energy efficiency, we’re constantly expanding our portfolio of clean energy solutions to guide utilities through increasingly complex, connected challenges. Load flexibility. Electrification. Carbon reduction. With every step, we’re leading the charge to power change. Resource Innovations is an Equal Opportunity Employer, committed to ensuring equal employment opportunities for all job applicants and employees without regard to race, color, religion, national origin, gender, age, disability, marital status, genetics, protected veteran status, sexual orientation, or any other protected status. In addition to federal law requirements, Resource Innovations complies with applicable state and local laws governing non-discrimination in employment in every location in which the company does work. Compensation & Benefits Resource Innovations offers competitive salaries based on a candidate's skills, experience and qualifications for the position. The compensation range for the base salary for this position is $100,000 - $144,000. In addition to base pay, employees may be eligible for a discretionary annual bonus. The stated salary represents the expected compensation for this position. Final compensation will be determined based on factors such as the candidate's experience, education and location. At Resource Innovations, we believe supporting our people is essential to delivering impact. We offer a comprehensive benefits package designed to promote health, financial security, and work-life balance. This includes three weeks of paid vacation annually, paid holidays, a 401(k) retirement plan with employer match, medical, dental and vision coverage, parental leave, an employee assistance program, commuter benefits, and additional supplemental offerings. Employment with Resource Innovations is contingent upon the successful completion of a comprehensive background check and reference check. If applicable to the position, a pre-employment drug screen may also be required. The above job description and job requirements are not intended to be all inclusive. Resource Innovations retains the right to make changes or adjustments to job descriptions and/or job requirements at any time without notice.

Agentic AI Engineer Location: Remote / Alexandria, VA Clearance: Eligibility to be cleared Are you ready to be part of a team that creates cutting-edge AI-powered analysis and simulation on-demand? At Whitespace, we use our Iris platform to uncover hidden relationships and patterns of life (POL) at machine speed, enhancing mission performance like never before. We are seeking a creative and proven Agentic AI Engineer to join our dynamic team and play a crucial role in unlocking the potential of our AI models. Someone who knows how to make AI systems that do more than just generate text — they make them take action. This role focuses on building intelligent, tool-using agents that can navigate complex technical environments, identify problems, and reason about remediation paths. You will be part of a small, high-caliber team solving hard problems at the intersection of machine learning, systems, and national security. At Whitespace, we are redefining national security by pushing the limits of what is possible—leveraging AI-powered, data-driven innovation to stay ahead of tomorrow's threats. If you are passionate about making a difference in the world and being part of groundbreaking technology in national security, this position is for you! This position is 100% remote for candidates that are not located within fifty miles of the corporate office. This role requires approximately 10% travel. Remote employees will be required to travel to the corporate office in Alexandria, VA at least twice a year. This position will report directly to the Product Manager. The candidate must be a U.S. citizen and reside in the contiguous United States. You will be a W-2 employee of GeoDelphi, Inc., and we do not accept third-party applications. RESPONSIBILITIES • Architect, develop, and deploy advanced autonomous AI agents tailored for cybersecurity applications., • Define and implement intelligent agent systems capable of real-time decision-making and adaptive threat responses., • Collaborate cross-functionally with product managers, engineers, and analysts to translate innovative concepts into robust solutions., • Mentor and guide engineering teams on best practices in developing agent-based AI solutions., • Continuously evaluate, test, and enhance the capabilities and performance of agentic systems within Whitespace’s ecosystem., • Drive technical excellence and promote engineering best practices within the AI team. EXPERIENCE • A bachelor's or master’s degree in Computer Science, AI, Machine Learning, or a related field with at least 5 years of related experience. Will consider experience in lieu of a degree., • Strong proficiency in Python, with experience in relevant libraries, frameworks, and technologies such as FastAPI, asyncio, and PyTorch., • Proven experience developing in Python and deploying robust AI/ML solutions, with specific expertise in autonomous agents., • Direct experience integrating generative AI models (OpenAI, Anthropic, Google Gemini, LLaMA) into practical agentic systems., • Demonstrated ability to design scalable, distributed systems and cloud-native architectures., • Extensive experience in prompt engineering and fine tuning LLM models, • Ability to design and implement agentic frameworks and architectures., • Knowledge of techniques for grounding generative models with external knowledge sources (e.g., retrieval-augmented generation, Knowledge graphs, etc.), • Familiarity with MLOps principles and tools for model deployment and monitoring, • Understanding of the security implications and mitigation strategies for generative AI and agentic systems., • Excellent collaboration, mentorship, and communication skills, enabling you to collaborate effectively with distributed teams., • Excellent communication skills, both verbal and written, to convey technical concepts to non-technical stakeholders. DESIRED SKILLS • Familiarity with Cloud Computing Platforms, • Experience in Deploying AI models at scale in high-throughput, low-latency environments._ GEODELPHI BENEFITS • Medical, Dental, and Vision plans, • Unlimited PTO, • Federal Holiday Paid Leave, • 12 weeks of paid Parental Leave, • Employer paid STD/LTD, • Employer Paid Life Insurance, • 401K plan and Employer Match, • Professional Development Assistance, • Equity Incentive Plan Who we are: GeoDelphi, Inc. dba Whitespace is building AI solutions for global leaders. Recognized as the most innovative company in the Geospatial Industry, Whitespace exponentially accelerates speed-to-answer with powerful analytics, high-cadence data feeds, and human expert-machine teaming. Our answers are rooted in truth data about human activity, delivering reliable decision advantage that keeps pace with world events. Whitespace is headquartered in Alexandria, Virginia. For further information, visit: _. GeoDelphi, Inc. is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, pregnancy, gender identity, national origin, disability, or Veteran status.

1Password is growing faster than ever. We’ve surpassed $400M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing and the Utah Mammoth. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Extended Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. As a Senior Developer, you’ll join the team that owns our device-resident agent and expand how 1Password software is installed, configured, and managed across customer devices. You’ll work on a deeply technical client daemon that runs directly on macOS, Windows, and Linux as a background service, with close integration into each operating system. This role sits within an established agent team, but with meaningful ownership of new capabilities. You’ll help design and build the mechanisms that make enterprise deployment simpler, more reliable, secure, and observable at scale, while ensuring they fit naturally into the agent architecture and the broader 1Password platform. While your primary focus will be the endpoint agent and its communication model, you’ll also help shape the contracts and supporting services around it. In practice, that may include prototyping or building lightweight backend components needed to validate workflows, lifecycle behaviors, and end-to-end system design. You’ll help shape our enterprise installation and lifecycle experience end-to-end, ensuring reliability, security, and observability at scale. This is a remote opportunity within Canada and the US. What we're looking for: 5+ years of experience developing system-level or device-resident software for macOS or Windows Strong proficiency in Go Experience developing background services (e.g., Windows Services, macOS launchd) Solid understanding of OS concepts: file systems, permissions, process lifecycle, and privilege boundaries A passion for and experience with security development best practices, coding standards, and design patterns Experience working in a remote-first company or distributed teams. You’re self-driven, with excellent communication skills, and capable of managing your own time effectively. Bonus points for: Experience with Linux system services Familiarity with software installation and update frameworks Experience designing resilient update and rollback mechanisms Experience designing secure client-server communication Experience as a Systems Administrator or Client Platform Engineer Experience troubleshooting production issues on customer devices What you can expect: A remote-first environment where you’ll have the freedom to work from anywhere, with a focus on asynchronous collaboration. Deep ownership of a foundational platform component Minimal meetings, allowing you the time and space to focus on solving complex authentication challenges. Opportunities to make significant technical contributions and lead impactful projects across 1Password’s growing platform. A flexible work environment with the support of a passionate, collaborative team. USA-based roles only: The annual base salary for this role is between $153,000 USD and $214,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $144,000 CAD and $202,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, _. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing . For additional information see our _.

WHO WE ARE Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to _. The Opportunity At Zeta Global, identity is at the core of our marketing cloud. The Identity team builds and operates backend services that power the Zeta Identity Graph - collecting, resolving, and maintaining billions of behavioral, demographic, and transactional signals. These services enable people-based marketing at scale, ensure trust and transparency in how identity data is managed, and provide critical APIs and event streams consumed across Zeta’s platform. Our systems support more than 235 million consumer profiles and process billions of events monthly, requiring services that are highly available, low-latency, and built to scale We are looking for a Lead Software Engineer who brings strength in both backend distributed systems and data engineering. In this role, you’ll design APIs and event-driven services, scale our systems to handle rapidly growing data volumes, and modernize our platform for resilience, transparency, and performance. You Will: • Design and build backend services and APIs for identity resolution, graph transparency, and integrations., • Develop and optimize event-driven pipelines and workflows processing billions of signals., • Deploy and operate cloud-native services on EKS/Kubernetes, leveraging Helm for repeatable deployments., • Ensure reliability, observability, and scalability across services and data pipelines., • Collaborate across engineering, product, and data teams to deliver end-to-end identity solutions., • Mentor engineers and influence architecture and roadmap You Have: • 5+ years of experience in backend and/or data engineering at scale., • Strong skills in Python, Java, or Scala, with expertise in APIs, distributed systems, and event-driven design., • Hands-on experience with Kafka (or similar), Spark/Hive/Flink, and workflow schedulers (Airflow/Luigi)., • Proficiency with Kubernetes (EKS preferred) and deployment practices (Helm, service meshes)., • Solid knowledge of SQL, data modelling, and cloud platforms (AWS)., • Familiarity with columnar / NoSQL databases (Aerospike, Snowflake, HBase, Scylla, Couchbase)., • Strong communication skills and a track record of driving technical direction and mentoring teams. Bonus Skills: • Experience with large-scale or multi-tenant distributed systems., • Exposure to real-time streaming frameworks (Flink, Storm)., • Knowledge of open table formats (Iceberg, Hudi, Delta Lake)., • Background in security, compliance, or privacy related to identity systems. BENEFITS & PERKS • Unlimited PTO, • Excellent medical, dental, and vision coverage, • Employee Equity, • Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!! SALARY RANGE The salary range for this role is $150,000 - $200,000, depending on location and experience. PEOPLE & CULTURE AT ZETA Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression. We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here: _ ZETA IN THE NEWS! _ #LI-DD1

Job Title: Senior Software Engineer - Implementation Job Location: US-based, remote Job Type: Full-time About Snapsheet: Snapsheet is claims technology the way it should be: purposeful, precise, and designed to deliver outcomes. Where others bolt things on, we engineer them into our core systems and processes across cloud-based claims management, virtual vehicle appraisals, and elite loss and recovery services. Trusted by over 170+ P&C Carriers, MGAs, MGUs, TPAs, and logistics companies, our open architecture is built to fit how our companies work, not the other way around. What you’ll get: • Remote working environment - your new commute is however long it takes to walk to your desk!, • Flexibility - empathy is ingrained in who we are and we are happy to offer a flexible PTO policy, casual dress code, and more!, • Development - Mentorship programs, 1-on-1 management, promote when ready culture, quarterly internal promotion opportunities, and goal setting sessions., • Fun - Celebrations just because, yearly in-person and remote events, Snapsheet Swag, Employee Resource Groups, and more! Job Overview: The Senior Software Engineer on our Implementation team plays a hands-on engineering role in designing, developing, and supporting Snapsheet’s integration platform — a standalone application that connects Snapsheet’s claims products to a growing ecosystem of third-party vendors (e.g., estimating solutions). You’ll join a small, agile team focused on building a scalable, event-driven architecture capable of serving multiple clients and integrations. This is a deeply technical position that combines software engineering, API integrations, and client implementation expertise. The ideal candidate has strong development experience and thrives at the intersection of system design, application development, and customer delivery. Key Responsibilities & Duties: • Design and build integration services within a distributed, event-driven application architecture that enables scalable connections between Snapsheet and third-party systems., • Develop and maintain integration components using modern languages and frameworks (e.g., Ruby on Rails) — including APIs, background workers, and message processing pipelines., • Architect reusable solutions that can support multiple clients and integration types with minimal custom code., • Write, test, and maintain production-quality code following best practices for reliability, observability, and performance., • Collaborate with client technical teams to understand their systems, define integration specifications, and guide implementation., • Troubleshoot and resolve complex integration issues, leveraging logs, metrics, and monitoring tools., • Document integration flows, architecture decisions, and operational procedures for both internal and client stakeholders., • Work closely with Product, Engineering, and Implementation teams to align integration architecture with product capabilities and long-term platform goals. Preferred Qualifications: • 5+ years of experience in software engineering or technical implementation roles, ideally within a SaaS or enterprise integration context., • Demonstrated experience designing and building scalable, event-driven, or message-based systems (e.g., using background jobs, queues, or pub/sub architectures)., • Strong proficiency with APIs, RESTful design, and at least one backend programming language (Ruby, Python, JavaScript/Node.js, etc.). Experience integrating or developing middleware or API gateway-style services. • Familiarity with containerized deployment environments (Docker, Kubernetes, etc.) and CI/CD workflows., • Excellent collaboration and communication skills, working with both technical and non-technical client resources., • Background in insurance or insurtech is a plus., • Strong sense of ownership, urgency, and commitment to delivering high-quality, maintainable solutions. We’re Built to Grow With You – And That Starts With How We Support You At Snapsheet, we know that growth doesn’t happen in a vacuum—it’s fueled by the right support at the right time. That’s why we’ve built a benefits experience designed to grow with you, wherever life takes you. • Choose from 2 robust medical plans through Blue Cross Blue Shield—plus, we contribute to your HSA when you enroll in our high-deductible health plan., • Offer two dental plans and one vision plan to keep you and your family healthy., • Peace of mind with company-paid Short Term Disability, Long Term Disability, and Life Insurance., • Additional protection through voluntary benefits like Accident Insurance, Hospital Indemnity, Critical Illness, and Legal Assistance., • 401(k) with a 4% company match—because your future is worth investing in., • Employee Assistance Program (EAP) with 6 sessions per life incident to support your mental well-being. Perks That Make Growing Here Even Better: • Flexible PTO and 7.5 company-observed holidays to recharge on your terms., • In-person connection points throughout the year including our annual Summit and Roadshows., • Snapsheet SWAG and surprise mailers to keep the spirit alive., • Endless opportunity to shape your path—career growth, learning, and real impact are all within reach., • Health and wellness campaigns that evolve with you year over year. Compensation that Grows with You For this position, the base salary range is $135,000 - 165,000. While this range serves as a guideline, your actual compensation will reflect your experience and skillset. At Snapsheet, we believe growth should be rewarded—our compensation and benefits are built to evolve with you as your career does. We are currently not accepting applications for candidates who reside in New York or California. *Please note that we are unable to sponsor applicants for work visas for this position at this time. Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply for jobs unless they meet every single qualification. At Snapsheet, we are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role but your experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. Snapsheet is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need assistance or accommodations, please let us know by emailing _. Snapsheet is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. #BI-Remote #LI-Remote Snapsheet is an equal opportunity employer.

Anika Systems is seeking a skilled Data Engineer to design, build, and optimize scalable data pipelines and platforms supporting federal clients. This role will play a critical part in enabling enterprise data strategies, supporting Office of the Chief Data Officer (OCDO) initiatives, and delivering high-quality, trusted data for analytics, reporting, and mission operations. This opportunity is 100% remote. The ideal candidate has hands-on experience with ETL/ELT pipelines, XBRL data processing, Apache Iceberg-based architectures, and advanced data optimization techniques such as materialized views and context-aware data engineering. This role also requires proficiency in AI tools and AI-assisted development workflows, along with experience building and deploying CI/CD pipelines for data and analytics platforms. Key Responsibilities Data Pipeline Development & ETL/ELT • Design, develop, and maintain robust ETL/ELT pipelines to ingest, transform, and deliver data across enterprise platforms., • Build scalable data ingestion frameworks for structured and semi-structured data, including XBRL filings and financial datasets., • Implement data transformation logic to support analytics, reporting, and regulatory use cases., • Ensure data pipelines are reliable, performant, and scalable in cloud environments., • Leverage AI-assisted development tools to accelerate pipeline development, testing, and optimization. Cloud Data Platforms & Iceberg Architecture, • Develop and manage data solutions leveraging AWS services (e.g., S3, Airflow, DAGs, Glue, Lambda, Redshift)., • Implement and optimize Apache Iceberg table formats for large-scale, ACID-compliant data lakes., • Support lakehouse architectures that unify data lakes and data warehouses., • Optimize data storage and retrieval strategies for performance and cost efficiency., • Enable data platforms that support AI/ML workloads and downstream generative AI use cases. CI/CD & DataOps Engineering, • Design and implement CI/CD pipelines for data pipelines, infrastructure, and analytics code using tools such as GitHub Actions, GitLab CI, Jenkins, or AWS-native services., • Automate build, test, and deployment processes for ETL pipelines and data platform components., • Implement DataOps best practices, including version control, automated testing, environment promotion, and rollback strategies., • Ensure reproducibility, reliability, and governance of data pipeline deployments across environments., • Integrate AI-driven testing and monitoring tools to improve pipeline quality and reduce operational risk. Data Optimization & Performance Engineering, • Design and implement materialized views and other performance optimization techniques to improve query efficiency., • Tune data pipelines and queries for performance, scalability, and cost., • Implement partitioning, indexing, and caching strategies aligned to workload patterns. XBRL & Financial Data Processing, • Develop pipelines to ingest, parse, and normalize XBRL (eXtensible Business Reporting Language) data., • Support regulatory and financial data use cases requiring high accuracy and traceability., • Ensure alignment with data standards and validation rules for financial reporting datasets. Context Engineering & Data Modeling Support, • Apply context engineering principles to ensure data is enriched with meaningful metadata, lineage, and business context., • Collaborate with Data Architects to support data modeling, schema design, and entity relationships., • Enable downstream analytics and AI use cases by structuring data for usability, discoverability, and governance. Metadata, Data Catalog, and Governance Integration, • Integrate pipelines with enterprise data catalogs and metadata management systems., • Support automated metadata capture, lineage tracking, and data quality monitoring., • Ensure alignment with data governance frameworks and standards established by OCDO organizations, including AI data readiness and traceability. Stakeholder Collaboration & Agile Delivery, • Collaborate with data architects, analysts, and business stakeholders to understand data needs and deliver solutions., • Participate in stakeholder listening campaigns, workshops, and data discovery efforts., • Work in Agile teams to iteratively deliver data capabilities and enhancements., • Contribute to identifying and implementing AI-driven efficiencies and automation opportunities across the data lifecycle. Required Qualifications, • Bachelor’s degree in Computer Science, Engineering, Data Science, or related field., • 5+ years of experience in data engineering, ETL development, or data platform engineering., • Strong hands-on experience with:, • ETL/ELT tools and frameworks, • AWS data services (S3, Glue, Lambda, Redshift, etc.), • Apache Iceberg and modern data lake architectures, • Experience designing and implementing CI/CD pipelines for data platforms and ETL workflows., • Demonstrated proficiency using AI tools and AI-assisted development workflows (e.g., LLM copilots, automated code generation, pipeline optimization tools)., • Experience processing XBRL or complex financial/regulatory datasets., • Proficiency in SQL and Python., • Experience implementing materialized views and query optimization techniques., • Understanding of data modeling concepts and metadata management., • Familiarity with data governance, data quality practices, and data readiness for AI/ML use cases., • Ability to work in Agile, DevOps-oriented environments., • U.S. Citizenship required; ability to obtain and maintain a federal clearance.Preferred Qualifications, • Experience supporting federal agencies such as SEC, DHS, Treasury, or Federal Reserve System., • Familiarity with data catalog tools (e.g., Collibra, Alation, ServiceNow)., • Experience with Apache Spark, Kafka, or other distributed data processing frameworks., • Experience enabling data pipelines for AI/ML or generative AI applications., • Knowledge of data maturity frameworks (e.g., EDM DCAM, TDWI)., • Exposure to context engineering or semantic data layer design., • AWS or data engineering certifications., • Experience with infrastructure-as-code (IaC) tools (e.g., Terraform, CloudFormation) in support of CI/CD pipelines.

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. As a Sr. Software Engineer you will be a member of our Global Cloud Services organization. In this challenging role, you will have the opportunity to build next generation customer facing cloud Observability tools. You will also work cross functionally with multiple teams on the design, architecture and implementation of our Observability platform with the focus on AI powered UX that enables self-service monitoring for our customers. This role requires the candidate to spend 90% of time on UI development and 10% on backend development. What you get to do in this role: • Design and develop scalable, maintainable, and reusable software components with a strong emphasis on performance and reliability., • Collaborate with product managers to translate requirements into well-architected solutions, owning features from design through delivery, • Build intuitive and extensible user experiences using modern UI frameworks, ensuring flexibility for customer-specific needs., • Contribute to the design and implementation of new products and features while enhancing existing product capabilities., • Integrate automated testing into development workflows to ensure consistent quality across releases., • Participate in design and code reviews ensuring best practices in performance, maintainability, and testability., • Develop comprehensive test strategies covering functional, regression, integration and performance aspects, • Foster a culture of continuous learning and improvement by sharing best practices in engineering and quality, • Promote a culture of engineering craftsmanship, knowledge-sharing, and thoughtful quality practices across the team. Develop High-Quality, Scalable, and Reusable Code Using AI-Assisted Tools Write clean, maintainable, and modular code by applying best practices in software architecture and engineering and leverage AI-assisted design and development tools to accelerate implementation and enforce consistency across the codebase. Own the End-to-End Software Development Lifecycle (SDLC) • Collaborate closely with product owners to gather detailed requirements and translate them into technical solutions., • Drive the full SDLC—from rapid prototyping to design, implementation, testing, and deployment—using AI-powered code generation, testing, and CI/CD tools to ensure speed and quality. Design and implement Observability products and features that are AI-native • Embedding intelligent capabilities such as automation, personalization, and predictive insights into the core of the user experience., • Act as a mentor to peers and junior engineers by sharing AI/ML and software engineering knowledge through code reviews, design sessions, and technical discussions. To be successful in this role you have: • Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry., • Proven experience designing and delivering AI-powered user experiences, including conversation design, LLM integration, prompt engineering, and retrieval-augmented generation (RAG)., • 1+ years of integrating Copliot/windsurf (or equivalent), • 5+ years of experience in software engineering, with a track record of delivering high-quality products + reviews risks with a Bachelor's degree; or 3 years and a Master's degree; or a PhD without experience; or equivalent work experience., • Strong knowledge of UX principles (human-centered design, trust, transparency, error recovery) and ability to apply them to autonomous and semi-autonomous AI agents., • Deep knowledge of Javscript, AJAX, JSON, HTML, XML, CSS, REST, High charts and associated frameworks, • Passion for evaluating root causes with LLMs and problem solving, domain expertise preferred, • Strong skills in Java and related frameworks, • Strong skills in CI/CD pipelines, containerization (Kubernetes, Docker), and cloud-native deployments using AI-assisted tools, • Strong in query language - SQL, Prometheus Query Language, • Preferred: Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry., • Excellent troubleshooting, debugging, and performance optimization skills in distributed and enterprise environments., • Strong collaboration and stakeholder communication skills, with the ability to influence product direction and champion AI-first design principles., • Preferred: Hands-on expertise with AI orchestration frameworks and building workflows for agentic or multi-agent systems., • Development experiences on the ServiceNow Platform is a big plus., • Proficiency in Python, Java, or similar object-oriented languages., • Experience with modern front-end frameworks such as Angular, React, or Vue., • Strong knowledge of data structures, algorithms, object-oriented design, design patterns, and performance optimization, • Familiarity with automated testing frameworks (e.g., JUnit, Selenium, TestNG) and integrating tests into CI/CD pipelines, • Understanding software quality principles including reliability, observability, and production readiness., • Ability to troubleshoot complex systems and optimize performance across the stack., • Experience with AI-powered tools or workflows, including validation of datasets, model predictions, and inference consistency., • Comfort with development tools such as IDEs, debuggers, profilers, source control, and Unix-based systems Why Join Us • Build and deliver high-impact software that powers digital experiences for millions of users., • Collaborate in a culture that values craftsmanship, quality, and innovation., • Work symbiotically with AI and automation tools that enhance engineering excellence and drive product reliability., • Be part of a culture that encourages innovation, continuous learning, and shared success. GCS-23 For positions in this location, we offer a base pay of $128,900 - $219,100, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. _. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact _for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

Location: Remote Clearance: Active DoD Secret clearance required Employment Type: Full-Time (W-2) Citizenship: U.S. Citizenship required IntelliTech is seeking a Tech Lead / Full-Stack Engineer to serve as the technical anchor on a high-visibility Department of War program focused on operationalizing a Government-owned digital twin application for ammunition industrial base readiness. This role will lead the modernization of an existing Python / React web application from a single-host prototype into a production-aligned, containerized platform deployed in an Army cloud environment. This is a hands-on technical leadership role. The ideal candidate will write production code daily, own architecture decisions, drive sprint execution, and serve as a primary technical interface with Government stakeholders. This individual will work closely with other senior engineers across data/AI and platform/DevSecOps functions on a lean team where every engineer is expected to ship high-quality production code. Technical Leadership • Own overall application architecture and drive technical decisions across frontend, backend, simulation, and data tiers., • Lead sprint planning, backlog refinement, and technical prioritization in coordination with project leadership., • Conduct code reviews and enforce standards for code quality, testing, documentation, and maintainability., • Serve as a primary technical point of contact for Government engineering and product stakeholders., • Translate Government requirements and mission context into actionable engineering tasks and solution designs. Backend Development • Modernize and extend a Python FastAPI backend serving as the application control plane for data operations, scenario lifecycle management, and AI orchestration., • Decouple the SimPy discrete-event simulation engine from the API tier into independently scalable worker containers., • Design and implement run request queueing, worker orchestration, and result persistence patterns., • Build governed ingestion workflows, including validation services for schema enforcement, referential integrity, circular reference detection, and business-rule validation with actionable user-facing feedback., • Implement dataset versioning, lineage tracking, and run-level traceability linking scenario outputs to explicit input versions., • Build version-bounded caching strategies for validated inputs, run-ready artifacts, and comparison outputs., • Implement deterministic scenario comparison logic and brief-ready report generation. Frontend Development • Extend and maintain a React / TypeScript frontend using Material UI, Recharts, and data-grid-based visualizations., • Build user workflows for AI-assisted scenario Q&A, guided scenario generation with analyst review and approval, and brief-ready output presentation., • Implement upload validation feedback, dataset versioning interfaces, and scenario comparison views., • Integrate SSO and DoD CAC-compatible authentication flows into the frontend as required by the target environment. AI Integration • Design and implement the AI integration layer brokering access between the application backend and a Government-approved hosted LLM endpoint., • Build scoped retrieval logic constraining AI context to approved run artifacts, simulation outputs, and post-processed metrics., • Implement guided scenario generation that converts user intent into structured JSON configurations for analyst review before execution., • Implement function-calling and tool-use patterns that enable the LLM to query live scenario data through backend APIs., • Ensure audit logging of AI interactions and enforcement of role-based access controls. Integration and Quality • Instrument the application pipeline to capture timing, bottleneck, concurrency, and throughput metrics., • Design and execute integration testing across frontend, backend, database, object storage, cache, and worker services., • Benchmark throughput and performance improvements against established baselines., • Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or a related technical discipline and 8+ years of relevant experience; or Master’s degree in a related field and 6+ years of relevant experience., • Active DoD Secret clearance., • 8+ years of professional software engineering experience., • Strong hands-on Python backend development experience, including FastAPI or Flask, asynchronous patterns, REST API design, and data processing with Pandas and NumPy., • Strong React / TypeScript frontend development experience, including React 18+, component architecture, state management, and modern UI frameworks such as Material UI., • Experience with containerized architectures, including Docker and orchestration concepts such as Kubernetes, ECS, or EKS., • Experience with MongoDB or other document-oriented databases, including schema design, query optimization, and async drivers., • Experience integrating LLM APIs such as OpenAI, Anthropic, or equivalent platforms, including function calling, tool-use patterns, and prompt engineering for structured outputs., • Experience building and maintaining production-grade applications in cloud-based environments, preferably AWS., • Experience leading technical execution across multiple application layers in a complex engineering environment., • Experience supporting DoD or federal Government programs., • Strong communication skills and the ability to work directly with technical and non-technical stakeholders., • Experience with SimPy or other discrete-event simulation frameworks., • Experience with defense supply chain, logistics, manufacturing, or industrial base mission domains., • Experience leading small engineering teams on Agile Government contracts., • Experience with Amazon DocumentDB, Redis / ElastiCache, Amazon S3, and Army or AWS cloud environments., • Familiarity with munitions industrial base concepts such as BOM structures, production lines, CAGE codes, and surge planning., • Experience building decision-support, simulation, or analytics applications for Government analysts., • Experience with Terraform, Helm, CI/CD pipelines, and production container deployment patterns., • Prior experience supporting Army logistics, manufacturing, or modernization programs., • Backend: Python 3.11+, FastAPI, SimPy, Pandas, NumPy, Pandera, Motor (async MongoDB), • Frontend: React, TypeScript, Material UI, Zustand, Recharts, MUI X Data Grid, • Database: MongoDB / Amazon DocumentDB, • Cache: Redis / Amazon ElastiCache, • Storage: Amazon S3, • AI Integration: OpenAI API or Government-approved hosted LLM endpoint, function calling, scoped retrieval, • Infrastructure: Docker, EKS / ECS, Helm, Terraform, • CI/CD: GitLab CI, GitHub Actions, or Government-approved pipeline tooling, • Authentication: CAC / SSO via SAML or OIDC Video interview required and may include a technical assessment. Candidates should be prepared to discuss: • systems or applications they have built from scratch across backend and frontend layers, • their experience leading architecture and technical implementation decisions, • how they have modernized or productionized prototype applications, • their experience with Python, React, containerized deployment, and cloud-native architectures, • their experience integrating AI capabilities into operational applications, • their work with large-scale or mission-critical Government systems IntelliTech is committed to fair and equitable compensation practices. The salary range for this position is $150,000 - $200,000. Actual compensation packages are based on several factors unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on these factors, IntelliTech utilizes the full width of the salary range. IntelliTech provides a comprehensive benefits package designed to support employees’ well-being and professional growth, including health insurance, dental insurance, and vision insurance, a 401(k), paid time off, professional development opportunities, and flexible work arrangements to support work-life balance. IntelliTech is a dynamic and forward-thinking small business specializing in Full Stack Engineering, Data Analytics, Cloud Solutions, and DevSecOps services. Our mission is to empower government and commercial clients to solve complex technical challenges through practical, innovative, and mission-focused engineering solutions. At IntelliTech, we are committed to building a diverse and inclusive workplace. We believe that a variety of perspectives and backgrounds leads to stronger teams and better solutions. IntelliTech is an Equal Opportunity Employer and does not discriminate on the basis of race, religion, gender, age, disability, or veteran status. We encourage all qualified candidates to apply.

About Us: HavocAI is an innovative defense technology company making scalable maritime autonomy a reality. We are pioneering an end-to-end solution for planning, tasking and control of uncrewed surface vessels (USVs). As we continue to quickly grow, we are looking for motivated individuals that are inspired to work within an extremely energetic, creative, and innovative team that is passionate about maritime robotics and exploring the open ocean. We work in a highly dynamic environment where collaboration and idea sharing are a way of life. About the Role: We are seeking an Embedded Systems Software Engineer focused on Payload Integration for the integration, control, and networking of a wide range of sensors and communications payloads onboard our autonomous vessels. This includes working with camera systems (including ONVIF PTZ, Stereo Cameras, LWIR, etc.), radar, AIS, software-defined radios (SDRs), and networked data transport via MQTT, TCP/IP, and streaming platforms like MediaMTX. This role will help define the architecture and software that connects these systems to our autonomy stack and ensures reliable, real-time performance in field deployments. Key Responsibilities: • Develop embedded software and middleware to interface with and control payload systems such as:, • ONVIF pan/tilt/zoom (PTZ) cameras, • Maritime radar systems, • AIS transponders and receivers, • Software-defined radios (SDRs), • Implement and maintain communication over IP-based protocols (TCP/UDP, MQTT, RTSP) and integrate media transport systems such as MediaMTX., • Design abstraction layers to make sensor data available to autonomy systems, both onboard and remote., • Work closely with autonomy, networking, and hardware teams to ensure seamless integration and system robustness., • Lead field testing and validation of new payload configurations and upgrades., • Document payload interface specifications, deployment configurations, and software APIs. Qualifications: • Bachelor's degree in Computer Engineering, Electrical Engineering, or related field., • Strong embedded development experience with C/C++ on ARM platforms (e.g., STM32) and Linux-based systems., • Proven experience integrating networked sensors and streaming media payloads., • Familiarity with ONVIF protocols and IP camera control., • Proficiency with TCP/IP, MQTT, and media protocols like RTSP/RTMP., • Comfortable working with radar, SDRs, or similar RF-based systems., • Experience with Linux networking, shell scripting, and system debugging., • Must be a U.S. Citizen and eligible to obtain a Secret Clearance. Preferred Skills: • Familiarity with marine communication systems (CAN, NMEA2000)., • Familiarity with media streaming servers., • Experience with ROS2, DDS, or similar pub/sub frameworks., • Experience with autonomous systems and real-world sensor integration., • Field experiences deploying complex sensor platforms in marine or rugged environments. Location: • Greater Boston Area Compensation and Benefits: • The target salary range for this position is $120,000 - $180,000, • 100% Employer paid Health, Dental and Vision Insurance for you and your families, • Ability to participate in the companies 401k program, • Unlimited PTO policy with an enforced 2 week minimum, • Equity Package, • Work / Home Office Stipend, • Global Entry Re-Imbursement, • 16 Week Paid Parental Leave, • Monthly Health and Wellness Stipend Our Values: • Innovation: We are driven to break new ground. Every day presents an opportunity to challenge the status quo, think boldly, and deliver advanced solutions that transform the future of defense technology., • Integrity: We hold ourselves to the highest ethical standards, ensuring transparency, accountability, and trust in all our actions and partnerships., • Mission-Driven: We are focused on achieving impactful outcomes that align with our core mission—protecting lives through innovation., • Forward-Leaning: We continuously seek out new opportunities and remain at the forefront of technological advancements. We embrace change and anticipate the challenges of tomorrow with confidence and creativity., • Ownership of All Tasks: At HavocAI, no problem is too complex or too trivial. We believe that greatness comes from tackling the hardest challenges, but also in handling the smallest, sometimes thankless, tasks with the same level of commitment and care., • Servant Leadership: We lead by serving others, whether it’s supporting our employees, partners, or the broader community. Empowering those around us is key to achieving long-term success and making a lasting impact. HavocAI is an Equal Opportunity Employer and is committed to creating an inclusive and diverse workplace. We welcome applicants from all backgrounds and do not discriminate based on race, color, religion, gender, sexual orientation, age, national origin, disability, veteran status, or any other legally protected status.

At Serko, we believe something incredible happens when people come face-to-face. That’s why we’re on a mission to engineer a frictionless, next-generation business travel marketplace. We don’t just manage travel; we are leveraging advanced AI and cutting-edge tech to eliminate the complexity of global movement. When you join Serko, you join a global collective of passionate technologists who show up as their true selves to build world-class products. With established hubs across New Zealand, Australia, North America, India and China - your code and ideas will impact millions of corporate travelers worldwide. If you're ready to challenge the status quo and build the future of travel tech, your next journey starts here. In this role, you will champion the developer experience by building the internal platform and tooling that every AI engineer at our company trusts and relies on. You’ll craft intuitive dashboards, user-friendly CLI tools, clean APIs, and elegant automation. We’re hiring 2 x Senior Full Stack Engineer to own the end-to-end development of our next-gen AI products. Your work will ensure that deploying and operating AI models is a seamless, safe, and empowering self-service journey, allowing our entire engineering community to thrive and scale together. What You’ll Do Craft Beautiful Internal UIs: Develop intuitive and accessible internal platform interfaces—such as dashboards, model registries, and experiment trackers—using React and Next.js to elevate our internal developer experience. Nurture Backend Infrastructure: Design and support reliable backend services and APIs in Python, ensuring our application teams can seamlessly tap into the platform's full capabilities. Build Safe, Sustainable Automation: Create and refine thoughtful automation for model deployment, rollbacks, and scaling workflows using scripts, APIs, and Infrastructure as Code (IaC), embedding safety and predictability into every release. Cultivate System Visibility: Weave monitoring and observability tools (such as Grafana, Prometheus, DataDog, and LangSmith) directly into the platform, giving our teams the clarity and insights they need to succeed. Champion Code Quality & Trust: Write comprehensive testing, evaluation, and validation logic for machine learning pipeline components to ensure high reliability and product excellence. Partner with Internal Teams: Act as a supportive resource for our internal engineering community, listening to their experiences and gathering empathetic feedback to continuously iterate on our tooling. Share Knowledge Generously: Foster a collaborative environment by documenting systems clearly and contributing to engineering wikis and runbooks so that the entire team can grow together. What you'll bring We believe that exceptional engineering stems from continuous growth and diverse experiences. We are looking for a collaborative partner who has spent 5+ years honing their craft in full-stack engineering and wants to make a lasting impact on our developer community. You will be a great fit if you bring: Core Backend Comfort: A deep comfort with Python, paired with hands-on experience building dependable backend services and clean REST APIs. An Eye for Internal Tooling: A genuine appreciation for crafting responsive dashboards and internal tools using TypeScript and React. Production AI Experience: Experience caring for and managing machine learning-based applications within a live production ecosystem. Cloud & DevOps Literacy: A foundational comfort navigating cloud platforms (AWS, GCP, or Azure), alongside a basic understanding of Docker and Kubernetes. A Collaborative Spirit: A history of working hand-in-hand with data or machine learning engineering teams, respecting and learning from different technical perspectives. Understanding of System Flow: A solid foundational understanding of databases, job queuing systems, and asynchronous workflows. Creative Problem-Solving: A natural curiosity and comfort when facing open-ended or ambiguous technical challenges, with the ability to turn abstract ideas into structured, clear steps forward. At Serko, we aim to create a place where people can come and do their best work. This means you’ll be operating in an environment with great tools and support to enable you to perform at the highest level of your abilities, producing high-quality and delivering innovative and efficient results. Our people are fully engaged, continuously improving, and encouraged to make an impact. Some of the benefits of working at Serko are: • A competitive base pay, • Medical Benefits, • Discretionary incentive plan based on individual and company performance, • Focus on development: Access to a learning & development platform and opportunity for you to own your career pathways, • Flexible work policy, • The pay range is between $152,000 - $230,000 USD as a base salary offering annually. A Note on Work Authorization: Applicants must be authorized to work for any employer in the U.S. At this time, we are unable to provide sponsorship or assume sponsorship for employment visa status (e.g., H-1B visa status).

Founded in 2024, DualEntry is one of the world’s fastest-growing AI startups. At DualEntry, the future of finance is being written today. ERP is one of the largest fintech markets in the world ($220,000,000,000+). Yet, tens of thousands of companies are still using on-premise systems, and the industry has not seen new entrants in more than 30 years. Our AI-native ERP lets accounting teams achieve more in less time. $5M-ARR businesses to NYSE-listed companies trust DualEntry to automate away manual data entry work with AI. We’re finally making the one-person finance team a reality and putting the pain of legacy ERPs from the 1990’s in the past. We operate with urgency and ownership. We move fast. Since starting 18 months ago, we’ve raised $100,000,0000+ from world-class investors such as Lightspeed Venture Partners, Khosla Ventures, Contrary Ventures and Google Ventures, as well as more than 20 angel investors who’ve built, scaled, and exited some of the most impactful companies of the last decade. We got there by moving incredibly fast and hiring an exceptionally sharp, hard-working and deeply committed team from leading tech and accounting companies - Ramp, Meta, Microsoft, Lyft, PwC, Deloitte, J.P. Morgan, Bloomberg, Sage, Xero and Intuit. And some of us don't have a fancy logo on our resume and are here for a shot to prove ourselves. We’re a small team, growing fast with huge momentum - join early. As our Staff Backend Engineer, you’ll architect features and systems end-to-end at an incredible pace. This is an intense, hands-on role with full ownership. We expect you to push for excellence and raise the bar. 📍 Location: Remote with overlap to our New York City HQ (EST) Design and build core backend systems (Python preferred) Build APIs, services and infrastructure that handle real-time, business-critical and complex accounting logic Launch production-ready features from scratch, including CI/CD pipelines and deployment Work with product to turn complex finance workflows into performant, secure systems Manage complexity in a business-logic-heavy product, including data migrations and scale challenges Integrate third-party tools and external systems - proactively managing edge cases and risk Own your work from architecture to testing, monitoring, and post-release care Hardcore work ethic and high agency 8+ years of experience in backend engineering (language agnostic) Deep experience with complex business logic products Experience deploying on AWS (or similar cloud infrastructure) Strong database skills: PostgreSQL, SQL, ORMs, migrations, schema design Experience building and testing robust APIs Solid understanding of software lifecycle, CI/CD, and production-readiness Ability to manage complex systems with evolving requirements Python and a modern web framework (FastAPI, Flask, or Django) is a plus Fluent in English (C1+) with strong written and verbal communication Pragmatic: you like to move forward and make decisions based in reality (not theory). We don't debate if Cassandra has the most theoretical scalability - we use Postgres until it breaks Hard working: 'You can work long, hard, or smart, but [here] you can't choose two out of three" - Jeff Bezos. We wrote this job post during the weekend Curious: you love to learn, are highly curious about new frameworks and solutions to engineering problems Fast-moving: you deploy daily, iterate quickly, and never wait for permission Significant equity ownership in one of the top AI companies in the world You’re joining early and will grow with DualEntry Your feedback shapes the product directly High-speed culture High-trust environment with high expectations Ambitious mission - ERP is one of the largest B2B software markets in the world ($220bn per year), this is a once in a lifetime opportunity to build the next generation ERP in an industry that has not seen new entrants in 30+ years Equity: $40,000 - $60,000 Base Salary: $110,000 - $185,000 Contract type: B2B Remote-first team - the fastest team you will have ever worked with Time Off: 27 PTO days (incl. public holidays) Visa sponsorship option for relocation to NYC within 2+ years Early-stage role with high autonomy and real long-term upside Enjoy a learning & development budget for courses, certifications, and language learning to keep growing your skills Work where you feel most productive at co-working spaces or from your home office with support for setup, internet, and phone We hire the best, expect the best, and give you the masterclass of your career - an archaic and huge industry like ERP only goes through a restructure like this once in a lifetime. It’s hard, it’s intense, and it’s the most rewarding work you’ll ever do. If you’re hungry, driven, and ready to build something massive, climb aboard! At DualEntry, we believe great products come from diverse teams. We’re an equal opportunity employer, and we’re committed to a culture where everyone feels included, supported, and able to do their best work.

Mobomo is seeking a highly motivated Sr. Engineer who can operate independently, require minimal oversight, and immediately contribute to backend development and infrastructure efforts. This role is ideal for someone who can execute on unknown requirements while proactively identifying and solving emerging technical challenges. It requires an individual who can operate in a context where nearly all requirements may be undefined, aside from the expected end outcome. With minimal supervision, this person must rely on their abilities to determine, design, and develop the solution they believe is best. Location: Remote within the DMV area (Washington DC, Maryland, Virginia) with in-person meetings throughout the year at our DC office Clearance: Must be able to obtain a US government clearance What We're Looking For Self-starter who can jump in quickly and deliver with little direction Comfortable working independently in a small, fast-moving team Able to identify gaps, anticipate needs, and take ownership of solutions Strong problem solver who can adapt as requirements evolve Responsibilities Design, develop, and test new backend features Maintain and improve infrastructure for a cloud-based Kubernetes application Enhance and manage CI/CD pipelines Support integration of scientific software and algorithms into production systems Required Experience 5+ years of backend software development experience Strong experience with Kubernetes deployment and administration Linux systems administration experience Experience working with Docker containers Preferred Experience PostgreSQL, SQL, PostGIS Golang and Python programming Education Bachelor's degree in a STEM-related field Additional Requirements Must be located within the DMV area (DC, Maryland, Virginia) Must be able to obtain a US government clearance Available for periodic in-person meetings at a Washington, DC office About Mobomo: Mobomo is a full-service DevOps agency dedicated to creating elegant solutions to solve complex problems. Mobomo benefits include health care, paid time off, retirement savings and professional development. Mobomo is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, citizenship status, veteran status, disability status or any other basis as protected by federal state, or local law.

LiveKit is building the infrastructure layer for the voice-driven era of computing. Our platform gives developers everything they need to build, test, deploy, scale, and observe agents in production. Founded in 2021, LiveKit powers voice AI applications for OpenAI, xAI, Salesforce, Coursera, Spotify, and thousands of others, collectively facilitating billions of calls each year. are obsessed with helping developers succeed are known as the go-to person for solving tricky technical issues work hard and can move fast without sacrificing quality care deeply about polish, detail, and clear communication are a fast learner, frequently picking up new tools, systems, and skills The best way to impress us is by showing how you help others unblock themselves—and maybe by tinkering with LiveKit along the way 😊 LiveKit is seeking a Forward Deployed Engineer (FDE) to work directly with customers building real-time communication and voice AI applications on the LiveKit platform. This role sits at the intersection of engineering, architecture, and customer implementation. Forward Deployed Engineers partner closely with customers to design systems, prototype solutions, and solve complex technical challenges as teams move from experimentation to production. You’ll work alongside customers’ engineering teams to help them successfully deploy and scale applications built on LiveKit. That may include designing architectures, building integrations, debugging production issues, or developing reference implementations that demonstrate best practices. This is an ideal role for engineers who enjoy solving real-world problems in real customer environments. You’ll collaborate closely with Product and Engineering to surface insights from customer implementations and help shape the future of the LiveKit platform. Your mission: make it seamless for developers to build and scale real-time audio, video, and AI applications on LiveKit. Work directly with customer engineering teams to design and implement real-time applications built on LiveKit. Design scalable architectures for voice AI, real-time media, and developer platform use cases. Build prototype integrations, reference implementations, and sample applications to accelerate customer development. Help customers navigate SDKs, APIs, infrastructure, and deployment strategies for production systems. Debug and troubleshoot complex technical issues in production environments. Lead technical workshops and architecture sessions with developers and product teams. Translate customer needs into technical insights that inform product and platform development. Partner with Product and Engineering to improve developer experience, documentation, and tooling. Contribute code, examples, or improvements to LiveKit’s open-source ecosystem when helpful. Act as a trusted advisor helping customers successfully launch and scale applications on LiveKit. Strong engineering background with 5+ years of experience in backend or infrastructure engineering. Proficient in one or more programming languages such as Go, Python, Node, Rust, or C++. Comfortable working across APIs, SDKs, distributed systems, and cloud infrastructure. Experience building or integrating developer platforms or real-time systems. Able to quickly understand complex systems and debug issues in real-world environments. Strong communicator who can collaborate directly with customer engineering teams and internal product teams. Comfortable operating in fast-paced, low-process environments where ownership and initiative matter. Excited to work hands-on with customers solving complex technical implementation challenges. Experience with WebRTC, real-time media systems, or telephony/SIP infrastructure. Familiarity with voice AI, conversational agents, or AI infrastructure. Experience working in customer-facing engineering roles such as Solutions Engineer, Field Engineer, or Forward Deployed Engineer. Experience contributing to open-source projects or developer ecosystems. Previous experience building with or integrating LiveKit. The opportunity to build technology powering the next generation of real-time and voice AI applications Work alongside world-class engineers and open-source contributors Competitive salary and equity package Health, dental, and vision benefits Flexible vacation policy

Karoo Health is seeking a skilled and dedicated developer to join our Engineering team. As a software engineer at Karoo Health, you show a clear passion for quality and love to bring software to life. You are energized by the idea of building something new and want to work on problems that matter. In order to do this job well, you must be a curious and eager problem solver with a hunger for building well-designed, high-quality solutions. You have a passion for great work and strive to produce simple solutions to complex problems. Knowing there are always multiple answers to a problem, you know how to engage in a constructive dialogue to find the best path forward. When applying, please include a description of why you’re interested in this role. What You'll Do • Execute: Craft clean, testable, and maintainable code., • Deliver: Own the software from requirements development through deployment and maintenance., • Operationalize Data: Architect, optimize, and maintain databases to ensure reliability and performance, • Architect: Design and deploy scalable, secure, cloud infrastructure leveraging infrastructure-as-code best practices, • Safeguard Data: Ensure compliance with healthcare data regulations (e.g., HIPAA, HITRUST) What We're Looking For • Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent work experience, • Minimum 5 years of dedicated professional experience in backend or full stack engineering, ideally in a startup or fast-paced environment., • Deep understanding of cloud platforms (AWS preferred) and cloud-native development, • Experience with relational and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB, DynamoDB), • Proficiency in designing RESTful and GraphQL APIs, • Hands-on experience with test automation, CI/CD, and DevOps best practices, • Strong knowledge of system architecture, scalability, and performance optimization, • Experience with authentication, security best practices, and API design patterns, • Ability to work independently and make high-impact technical decisions, • Must be legally authorized to work in the United States and not require employer sponsorship now or in the future. Why Join Us • Competitive salary and equity in an early-stage startup. The starting salary for this role is between $150K - $175K annually dependent upon factors such as: cost of living, experience, etc., • Opportunity to define the technical solution from the ground up, • Possibly fully remote work environment with flexible hours, • Health benefits, learning stipends, and professional development support, • A collaborative and transparent company culture that values creativity and ownership Equal Opportunity Statement At Karoo Health Inc (“Karoo”), we believe that improving healthcare starts with creating a more equitable and inclusive world, both inside and outside our organization. We are committed to fostering a diverse workforce that reflects the communities we serve, and to building a culture where every team member feels valued, supported, and empowered. Our commitment to inclusion is reflected in initiatives such as equitable compensation practices, employee resource groups, inclusive benefits, and more. Karoo Health is proud to be an equal opportunity employer. We maintain a strict policy of non-discrimination for all applicants and employees. What does that mean for you? It means that we are dedicated to providing a workplace that is inclusive, respectful, and free from discrimination or harassment of any kind. Employment decisions at Karoo Health are made based on merit, qualifications, and business need, without regard to race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, disability, marital status, veteran status, political affiliation, or any other characteristic protected under applicable law. This policy applies to every aspect of the employment journey, from recruitment and hiring to compensation, benefits, training, promotion, performance evaluation, and beyond. We’re committed to doing the right thing, always, and that includes creating a fair and inclusive hiring process and workplace for all. Karoo Health welcomes all. In the United States, compensation is determined by factors including location, role level, job-related skills, experience, and market conditions. Some positions may also be eligible for bonuses, equity, or other benefits. To learn more about Karoo Health’s benefits, please contact our _.

HHAeXchange is the leading technology platform for home and community-based care. Founded in 2008, HHAeXchange was born out of an idea to create an end-to-end homecare solution to help people who are aging or have disabilities thrive in their homes and communities. Our employees are passionate about transforming the healthcare space by building the only homecare ecosystem that fully connects patients, caregivers, home care provider agencies, and payers. We’re looking for a Full Stack Engineer who’s eager to grow fast, think big, and build products that make a difference, improving the experience of thousands of caregivers and families. You’ll work across the full stack — from intuitive frontends to scalable backend services — diving into technologies like Go, Angular, PostgreSQL, Redis, SQS, Kubernetes, and GenAI tooling. This role is a launchpad for thoughtful, driven builders who thrive on solving complex challenges alongside a talented team of experienced engineers. If you're early in your career and driven to excel, this is your chance to ship code that changes lives, grow under inspiring mentors, and contribute to healthcare innovation. You must value a ‘startup-like’ culture on a small but mighty team that unlocks rapid iteration cycles through a quick but thoughtful decision-making process. To perform this job successfully, an individual must be able to perform each essential job duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • Build the Foundation for Scalability: Contribute to the design, implementation, and maintenance of APIs and microservices that enable robust functionality and seamless integrations., • Excel in Full Stack Development: Gain hands-on expertise in frontend with Angular and backend with Go, while optimizing cloud infrastructure for efficient scaling., • Integrate Gen AI Innovations: Incorporate generative AI into our agency management software, boosting usability and efficiency to create intuitive experiences that users love., • Push the Envelope: Encourage exploration of new technologies, tools, and approaches to continually enhance our platform for better user outcomes., • Guide Strategic Decisions: Evaluate priorities, options, and tradeoffs to inform key development choices that advance our goals., • Collaborate with a Passionate Team of Peers: Work closely with product managers, designers, and stakeholders to gather requirements, align on objectives, and deliver features that exceed expectations., • Ensure Lasting Quality: Develop and maintain comprehensive unit and integration tests to uphold high standards of software reliability., • Love a challenge and want to learn fast by doing important work., • Want to be mentored by lead engineers who care about your growth., • Are excited to touch every layer of the stack and see how software and infrastructure fit together end-to-end., • Believe that technology can and should make healthcare better., • Have a bias toward ownership, creativity, and seeing results., • Thrive in a fast-paced, collaborative environment where no two days are quite the same., • Want the energy of a startup with the stability of a proven company., • Other duties as assigned by supervisor or HHAeXchange leader., • Travel 5-10%, including overnight travel, domestic & abroad (US and other delivery locations), • 0-4 years of experience in software engineering roles building on modern architectures and frameworks, • Proficiency in one reactive JavaScript framework, such as Angular, React, or Vue, • Experience with backend-development, such as Go, NodeJS, or Python, • Experience in PostgreSQL/MongoDB, • Familiarity with continuous integration/continuous deployment (CI/CD) pipelines and tools, • Excellent written, verbal, and interpersonal communication skills, • Strong analytical and problem-solving skills, • Flexible, team player, • Ability to organize and plan work independently, • Ability to work in a rapidly changing environment, • Knowledge of JIRA/Confluence is a plus, • Healthcare experience and familiarity with HL7 and FHIR interoperability standards is a plus, • Willingness to explore and adopt AI tools responsibly to enhance productivity and innovation in your role The base salary range for this US-based, full-time, and exempt position is $80,000-120,000/yr, not including variable compensation. An employee’s exact starting salary will be based on various factors including but not limited to experience, education, training, merit, location, and the ability to exemplify the HHAeXchange core values. This is a benefits-eligible position. HHAeXchange offers competitive health plans, paid time-off, company paid holidays, 401K retirement program with a Company elected match, including other company sponsored programs. HHAeXchange is an equal-opportunity employer. The Company offers employment opportunities to all applicants and employees without regard to race, color, religion, national origin, sex, sexual orientation, gender identity or expression, age, disability, medical condition, marital status, veteran status, citizenship, genetic information, hairstyles, or any other status protected by local or federal law. 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.

At Imply, our mission is to empower people and organizations to achieve more with their data. We believe that better insights lead to better decisions, and that the right technology can remove barriers, spark innovation and create lasting impact. In addition to our successful database business, we’re building the industry’s first observability warehouse, Imply Lumi. Built by the creators of Apache Druid, Lumi lets organizations store more data, support more use cases and spend less for observability. Imply Lumi is a high-performance, cost-efficient data layer built to decouple existing observability tools with zero disruption. In this role, you will help redefine what is possible with observability and security data. As part of the Platform Team you will play an important role in bringing Imply Lumi to life. Lumi delivers lightning fast queries, significant cost savings and seamless integration with leading observability technologies while giving customers the freedom to innovate without vendor lock-in. You will partner directly with our teams who are innovating and building this first-in-class technology that allows our customers to unlock new levels of speed, scale and value from their data. Backed by leading investors including a16z and Bessemer Venture Partners, Imply is on a fast growth trajectory, transforming how organizations manage and gain insights from their observability and security data. Our customers, including Pepsi, Reddit, Roblox, Salesforce, and others, rely on our technology to power faster decisions, reduce costs, and unlock new possibilities. Come join a team of innovators and problem-solvers who are reshaping the future of data! The Role We’re looking for a talented Staff Software Engineer who is passionate about building scalable web services and cloud infrastructure for products used at thousands of companies around the world. You would be working with our Platform Engineering team, implementing reliable distributed systems that manage petabyte-scale data across a range of products. This role is a mix of software engineering, platform engineering, and cloud architecture. Must be comfortable working in a high performance remote-first environment. Responsibilities • Design and develop highly available services and infrastructure that operates across multiple geographic regions in a multi-cloud environment (AWS, Azure, GCP), • Build, maintain, and operate SaaS, BYOC (Bring your own Cloud), and on-premise offerings., • Maintain infrastructure-as-code for deploying resources on Kubernetes across multiple clouds., • Participate in design reviews, code reviews, and on-call rotations. Work collaboratively as a member of a cross-functional team to build end-to-end customer experiences, • Demonstrate full lifecycle ownership of the products and features built, including writing documentation, manual and automated testing, and participating in on-call rotations Requirements • First and foremost - the desire and self-drive to succeed at a fast-paced, demanding startup., • 10+ years of industry experience spanning software development, architecture, cloud technology, networking, and modern application design., • Experience building large-scale, API-first production web services (Java required), • Production experience working with AWS, Azure, GCP, and Kubernetes and using infrastructure-as-code frameworks such as Terraform and Helm (AWS required), • Strong oral and written communication skills; able to explain complex technical concepts at the appropriate levels for customers, non-technical stakeholders, and other engineers, • Build and operate systems in US Government Cloud environments (US citizenship required), • Bachelor’s degree in computer science, engineering, or a related field (or equivalent experience) Bonus Points • Experience with Oracle Cloud, GovCloud, Azure Cloud, Google Cloud, • Familiarity with the BYOC (Bring your own Cloud) deployment model, • A history of contributions to open source projects What we offer • 100% Paid Medical, Dental and Vision Benefits, • 401(k) Program, • Fertility Coverage, • Pet Insurance, • Dependent Care FSA, • Mental Health Support, • Life and AD&D Insurance, • Unlimited Paid Time Off, • Wellness Stipend, • Home Office Equipment Reimbursement, • Pre-Tax Commuter Benefits Individual compensation will be determined based on the candidate's experience and qualifications aligned with Imply’s internal levelings guidelines and benchmarks. The below range encompasses roles with on target earnings. This role is also eligible to participate in Imply’s equity plan subject to the terms of the applicable plans and policies. Compensation: $195,000 - $230,000 Don’t meet every single requirement? Studies have shown that certain minority groups are less likely to apply to jobs unless they meet every qualification. At Imply, we are dedicated to building a diverse, inclusive and authentic workplace. If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or for other roles in the future. Imply is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Please note, applications and candidate submissions are subject to our privacy policy and, for California residents, the CCPA terms available at _. — Attention: Imply Applicants Due to reports of phishing, we’re requesting that all Imply applicants apply through our official Careers page at _. All official communication from Imply will come from email addresses ending with @imply.io. #LI-Remote

Cornelis Networks delivers the world’s highest performance scale-out networking solutions for AI and HPC datacenters. Our differentiated architecture seamlessly integrates hardware, software and system level technologies to maximize the efficiency of GPU, CPU and accelerator-based compute clusters at any scale. Our solutions drive breakthroughs in AI & HPC workloads, empowering our customers to push the boundaries of innovation. Backed by top-tier venture capital and strategic investors, we are committed to innovation, performance and scalability - solving the world’s most demanding computational challenges with our next-generation networking solutions. We are a fast-growing, forward-thinking team of architects, engineers, and business professionals with a proven track record of building successful products and companies. As a global organization, our team spans multiple U.S. states and six countries, and we continue to expand with exceptional talent in onsite, hybrid, and fully remote roles. Cornelis Networks is seeking a talented and experienced Senior Software Engineer, Kubernetes Platform and Fabric Integration to join our team and lead the integration of our advanced fabric management software with modern, cloud-native orchestration platforms. In this role, you will be responsible for architecting and developing the bridge between our existing cluster management tools and the Kubernetes ecosystem. You will design, build, and maintain Kubernetes operators, controllers, and other components necessary to ensure our high-performance interconnect solutions can be seamlessly deployed, managed, and scaled in containerized environments. This is a critical role that will directly impact our customers' ability to leverage Cornelis Networks' technology in large-scale, modern data centers. Key Responsibilities: • Architect and Design: Lead the design of robust, scalable solutions for integrating Cornelis Networks' platform and fabric management software with Kubernetes., • Develop Kubernetes Operators: Build and maintain custom Kubernetes Operators and Controllers in Go to manage the lifecycle of our software and hardware components within a cluster., • Cloud-Native Integration: Develop solutions that allow for the seamless orchestration of our high-performance fabric services and platform management tools alongside other containerized workloads., • Cluster Management: Work on extending Kubernetes for managing specialized hardware, scheduling, and networking requirements unique to HPC and AI workloads., • Collaborate: Partner with the core platform, fabric, and hardware teams to ensure a cohesive and performant end-to-end solution., • Upstream Contribution: Engage with the open-source community and contribute to relevant projects within the cloud-native ecosystem., • Documentation and Best Practices: Author high-quality technical documentation and champion best practices for software development in a cloud-native environment., • Leverage AI-powered tools to accelerate software development workflows, including intelligent code generation, refactoring, and performance optimization., • Apply AI-driven techniques for automated code review, testing, and quality assurance to improve reliability and reduce development cycles. Minimum Qualifications: • 5+ years of professional software development experience., • Proven experience in designing and developing solutions for Kubernetes, including building custom operators/controllers using tools like the Operator SDK or Kubebuilder., • Strong proficiency in Go. Experience with C++ or Python is also valuable., • Deep understanding of Kubernetes architecture, including the control plane, networking (CNI), and storage (CSI) interfaces., • Hands-on experience with container technologies such as Docker or containerd., • Demonstrable experience in integrating existing software platforms or services with Kubernetes., • Bachelor's or Master’s degree in Computer Science, Computer Engineering, or a related technical field. Preferred Qualifications: • Experience with high-performance computing (HPC) or high-performance networking., • Familiarity with performance-sensitive environments and low-latency application requirements., • Experience with monitoring and observability stacks like Prometheus, Grafana, and Fluentd., • Knowledge of CI/CD principles and experience building deployment pipelines., • Contributions to open-source projects in the Kubernetes or cloud-native ecosystem. Location: This is a remote position for employees residing within the United States We offer a competitive compensation package that includes equity, cash, and incentives, along with health and retirement benefits. Our dynamic, flexible work environment provides the opportunity to collaborate with some of the most influential names in the semiconductor industry. At Cornelis Networks your base salary is only one component of your comprehensive total rewards package. Your base pay will be determined by factors such as your skills, qualifications, experience, and location relative to the hiring range for the position. Depending on your role, you may also be eligible for performance-based incentives, including an annual bonus or sales incentives. In addition to your base pay, you’ll have access to a broad range of benefits, including medical, dental, and vision coverage, as well as disability and life insurance, a dependent care flexible spending account, accidental injury insurance, and pet insurance. We also offer generous paid holidays, 401(k) with company match, and Open Time Off (OTO) for regular full-time exempt employees. Other paid time off benefits include sick time, bonding leave, and pregnancy disability leave. Cornelis Networks does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. Cornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

At Agile Defense we know that action defines the outcome and new challenges require new solutions. That’s why we always look to the future and embrace change with an unmovable spirit and the courage to build for what comes next. Our vision is to bring adaptive innovation to support our nation's most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agility—leveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nation’s vital interests. Requisition:1112 Title: DevOps Engineer Clearance: Public Trust Location: Remote – Washington DC Metro Area Overview: Agile Defense is looking for a DevOps Engineer to be part of a growing team in the federal sector.This candidate must have excellent written and oral communication skills and be adaptive to the changing needs of the organization. This candidate must have experience with building and maintaining highly effective relationships with team members and multiple stakeholders across multiple projects. The Developer shall be responsible for the development, testing, and maintenance of automation scripts, infrastructure tools, DSLs CI/CD pipelines utilizing Ruby and related technologies.As a direct employee of IntelliBridge, you would receive a benefit package that includes health/dental/vision insurance coverage, 401K with company match, PTO & paid holidays, and annual tuition/training assistance. For more information, please visit our website. Clearance:· DHS USCIS Public Trust (Level 6) Responsibilities/Duties:· Engage in and improve the whole lifecycle of services—from inception and design, through deployment, operation and refinement to efficiently deliver solutions frequently with quality.· Write code, building infrastructure as code, work with immutable “cloud” based environments, and build the supporting automated toolsets to test and deploy the systems they develop.· As an DevOps engineer, analyze, design and implement strategies for continuous deployments while ensuring high availability on the development, pre-production and production environments.· Maintain services (and supporting cloud infrastructure) once they are live by measuring and monitoring availability, latency and overall system health.· Establish strategy/toolset/framework for automating testing of services and products, develop best practices for test automation and develop test suites,· Design, develop and implement solutions based on a set of standards and processes which establish consistency across the enterprise data, reduce risk, and promote efficiencies in support of the organization’s goals and objectives· Develops and provides training as needed· Develops technical documentation as needed Required Qualifications:· A Bachelor of Science (BS) degree in related field or equivalent work experience can be substituted instead of a degree.· At least 4+ years of experience in CI/CD pipelines (Ansible, Jenkins, sonarqube, sonartype nexus, etc) and infrastructure development (AWS, cloud formation, Terraform, RDS), windows build automation, windows system administration.· At least 4 years of experience with revision code source code repositories in particular git and SVN· At least 4 years of experience with strong and evolving competence in several programming languages and technologies, working knowledge of multiple tools sets, technologies and implementation environments· At least 4 years of experience and understanding of typical three-tier enterprise application architectures· At least 4 years of experience of practical Linux based systems administration skills and scripting experience in a Cloud-based environment.· At least 4 years of experience with automating processes with one or more scripting languages such as ruby, Bash, and/or Python.· Must be a US citizen. Preferred Qualifications:· USCIS or DHS Experience Employees of Agile Defense are our number one priority, and the importance we place on our culture here is fundamental. Our culture is alive and evolving, but it always stays true to its roots. Here, you are valued as a family member, and we believe that we can accomplish great things together. Agile Defense has been highly successful in the past few years due to our employees and the culture we create together. What makes us Agile? We call it the 6Hs, the values that define our culture and guide everything we do. Together, these values infuse vibrancy, integrity, and a tireless work ethic into advancing the most important national security and critical civilian missions. It's how we show up every day. It's who we are. We also believe in supporting our employees by offering a competitive and comprehensive benefits package. To explore the benefits we offer, please visit our website under the Careers section. Happy - Be Infectious.Happiness multiplies and creates a positive and connected environment where motivation and satisfaction have an outsized effect on everything we do. Helpful - Be Supportive.Being helpful is the foundation of teamwork, resulting in a supportive atmosphere where collaboration flourishes, and collective success is celebrated. Honest - Be Trustworthy.Honesty serves as our compass, ensuring transparent communication and ethical conduct, essential to who we are and the complex domains we support. Humble - Be Grounded.Success is not achieved alone, humility ensures a culture of mutual respect, encouraging open communication, and a willingness to learn from one another and take on any task. Hungry - Be Eager.Our hunger for excellence drives an insatiable appetite for innovation and continuous improvement, propelling us forward in the face of new and unprecedented challenges. Hustle - Be Driven.Hustle is reflected in our relentless work ethic, where we are each committed to going above and beyond to advance the mission and achieve success. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

Authorium is transforming the way agencies manage complex, document-centric workflows. Our unified platform integrates essential administrative functions, from Budgeting to Procurement to Contracting, streamlining government operations. By consolidating data from documents, emails, and spreadsheets into a unified data layer, we drive insights and visibility. We believe in the power of collaboration and data to transform government operations. Come innovate with us and drive positive change! As a Mid-Level Engineer at Authorium, you will be a key technical contributor in building our innovative workflow process automation platform. You'll work on complex challenges at the intersection of document management, workflow automation, and data integration. Your experience will help deliver robust solutions that transform how government agencies work. • Design, develop, and deploy features for our platform using Ruby on Rails, ensuring high performance and responsiveness to requests, • Write clean, efficient, and maintainable code while adhering to best practices and security standards, • Collaborate with product and design teams to ensure features meet business goals and usability standards, • Contribute to code reviews and technical documentation, • Contribute to our continuous integration and deployment processes, • 3+ years of experience building and maintaining production applications using Ruby on Rails, • Solid proficiency with relational databases, specifically PostgreSQL, and experience with database optimization, • Demonstrated experience with modern frontend approaches like Hotwire and integration rich text editors like CKEditor, • Experience with cloud services (AWS) and containerization technologies, • A strong understanding of security principles and best practices, with experience or familiarity with working under strict compliance frameworks like FedRAMP/IL5 being highly desirable, • Proven ability to write clean, maintainable, and well-tested code, demonstrating a strong grasp of software development fundamentals, • Excellent technical communication skills and a collaborative approach to problem-solving, capable of working effectively with both technical and non-technical stakeholders Employees located within 30 miles of our hub cities—San Francisco, Sacramento, and Washington, D.C. —are required to work onsite from Tuesday to Thursday. Remote work is available on other days. • Salary Range: $100,000-$140,000, • 100% benefits coverage for employee, • 401K Profit Share plan, • Flexible PTO, • Home office stipend, • Comprehensive wellness benefits, • Commuter stipend for hybrid roles

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $2B in revenue in our last fiscal year with extensive growth potential ahead. At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a _ (PBC), legally bound to balancing the interests of customers, employees, society, and investors. As a _ company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment. Join us in _, committed to making a positive impact on its customers, employees, and communities. The Role This is a top software engineer job that incorporates everything you’ve worked so hard for. And with the mission of creating cloud software that helps speed up the innovation and delivery of critical treatments and medicines to patients around the globe, it simply doesn’t get any more important than this. Your impact as a seasoned technical problem-solver will mean you will be focused on building software that can not only scale for heavy use, but can also evolve with new features and capabilities. And because this senior role is independent, you will have equal influence to drive the direction of the build, be an advisor to product leadership and mentor freshly minted software engineers in their new careers. Veeva is the leader in cloud-based software for the global Life Sciences industry. Our platform and applications allow customers to operate more efficiently and safely in order to bring life-saving diagnostics, treatments, and medicines to market faster than any time in history. This industry along with our vertical-specific software is in a period of unprecedented growth over the next five years, and we’re looking for mission-driven software development problem-solvers, thinkers, and doers to keep up with growth. Veeva is a ‘Work Anywhere’ company, so you can connect with teams in our Pleasanton office while also having the flexibility to work from home. And as a Public Benefit Corporation, you will work for a company with purpose and focused on making a positive impact on society. \n What You'll Do • Collaborate with Product Management and Development team members on technical design and problem solving to come up with compelling solutions to problems., • Own all aspects of implementation for features from design to development, deployment to production, and support and maintenance., • Quickly break down complex problems into potential solutions, accounting for knowns and unknowns, in order to get to solid resolutions faster., • Passion to mentor and guide engineers at all levels, • Define, evangelize and mentor on best practices and coding standards., • Extensive experience reviewing code engineers of all levels. Requirements • 12+ years of software development experience, • Extensive experience developing enterprise SaaS cloud applications, • Proven track record of building high volume products at scale, • Hands-on development experience with current open source tools and technologies (Java, Spring, MySQL, Hibernate, Maven, Git, Jenkins, AspectJ, Messaging, Solr, and Lucene), • Drive and flexibility to roll up your sleeves and work hard (and have fun) in a fast-moving startup environment, • We are looking for strong mentors with a proven record of making your team better, • Applicants must have the unrestricted right to work in the United States. Veeva will not provide sponsorship at this time Learn More • _, • _ Perks & Benefits • Medical, dental, vision, and basic life insurance, • Flexible PTO and company paid holidays, • Retirement programs, • 1% charitable giving program Compensation • Base pay: $150,000 - $300,000, • The salary range listed here has been provided to comply with local regulations and represents a potential base salary range for this role. Please note that actual salaries may vary within the range above or below, depending on experience and location. We look at compensation for each individual and base our offer on your unique qualifications, experience, and expected contributions. This position may also be eligible for other types of compensation in addition to base salary, such as variable bonus and/or stock bonus. \n #LI-Remote Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world. Veeva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at _.

GoodAtNumbers is building an always-on decision intelligence platform that is trying to replace what a data scientist, data analyst and a business analyst does. We are turning a strong product architecture into a production-ready system that is reliable, observable, scalable, and easy to ship. We are hiring a Software Engineer Intern (Platform & DevOps) for a paid 12-week summer internship from May through July 2026. This is a remote role based in the United States and is expected to be 40 hours per week. Compensation for this internship is $23/hour. In this role, you will help us scale the platform and strengthen the engineering foundation behind the product. This is a high-ownership internship for someone who enjoys backend systems, infrastructure, reliability, automation, and turning prototypes into production-grade software. What you’ll work on • Improve deployment, release, and environment workflows so the team can ship faster with fewer issues, • Strengthen observability across services, jobs, and pipelines using logs, metrics, tracing, alerts, and dashboards, • Improve the reliability and performance of ingestion jobs, scheduled metric computation, backend services, and platform tooling, • Help harden infrastructure across cloud services, object storage, databases, secrets, permissions, and service configuration, • Improve CI/CD, test automation, rollback readiness, and production debugging workflows, • Work across the engineering stack to make the system more stable, production-ready, and easier to maintain What success looks like by the end of the internship • Core services and jobs are easier to deploy, monitor, and troubleshoot, • Engineering workflows are faster and more reliable, • The platform is meaningfully closer to production-grade readiness in reliability, performance, and operations What we’re looking for • 2+ years of hands-on software engineering experience preferred through internships, startups, research labs, open-source work, or production projects, • Strong programming fundamentals and comfort working in backend systems, • Experience with DevOps, platform engineering, or SRE-style work preferred, • Experience with containers, CI/CD pipelines, infrastructure automation, and cloud services preferred, • Experience with relational databases, object storage/data lakes, and scheduled or background jobs preferred, • Comfort debugging production issues, improving developer workflows, and writing maintainable code, • Strong written communication, ownership, and execution Nice to have • Experience with Azure, AWS, or GCP, • Experience with Docker, Kubernetes, Terraform, GitHub Actions, or similar tooling, • Experience with Postgres, data pipelines, or analytics/ML infrastructure, • Familiarity with security, access control, and performance tuning Work authorization Applicants must be authorized to work in the United States for the full internship period and must be based in the U.S. during the internship. We are not able to provide employment visa sponsorship for this internship. We welcome applicants from all backgrounds and evaluate candidates based on skills, execution, communication, and fit for the role.

AssistRx transforms the patient journey through technology—helping patients access life-saving therapies faster and more efficiently. Our platform connects patients, providers, payers, and manufacturers through secure, scalable, data-driven solutions that power better decisions and better outcomes across the healthcare ecosystem. If you’re passionate about building modern data platforms, working with large-scale cloud data systems, and applying data engineering best practices in a regulated healthcare environment, we’d love to talk. AssistRx is seeking a Senior Data Engineer to join our Cloud Data Platform (CDP | Architecture) team. This role is highly hands-on and focused on designing, building, and scaling our modern data platform—with Snowflake and dbt as core, non-negotiable technologies. You will play a critical role in shaping AssistRx’s enterprise data architecture, owning transformation logic, performance optimization, and data modeling patterns that support analytics, reporting, and downstream products across the organization. This is not an entry-level or tool-learning role. We are looking for someone who can contribute immediately in a production Snowflake + dbt environment and help set technical standards for the broader data organization. • Design, build, and optimize Snowflake-centric data architectures to support enterprise analytics, reporting, and operational use cases, • Own dbt transformation layers, including model design, testing, documentation, and deployment best practices, • Implement scalable data modeling patterns (star schemas, data vault, dimensional models) aligned to business needs, • Develop and maintain reliable data pipelines integrating sources such as Salesforce, application databases, and external client data, • Ensure data quality through validation, testing, monitoring, and observability frameworks, • Optimize Snowflake performance and cost through query tuning, warehouse design, and efficient data modeling, • Partner closely with Analytics, BI, Product, and Engineering teams to deliver trusted, analytics-ready datasets, • Contribute to architectural standards, code reviews, and best practices across the CDP team, • Document data flows, models, and platform decisions to support long-term scalability and knowledge sharing, • Ensure data pipelines and models meet PHI / PII / HIPAA compliance requirements, • Support secure access patterns, role-based permissions, and data governance controls This role requires strong, hands-on experience in the following areas: • 6+ years of experience in data engineering, analytics engineering, or backend data development, • Advanced Snowflake expertise in a production environment (performance tuning, architecture, optimization), • Strong dbt experience building and maintaining transformation layers at scale, • Expert-level SQL skills, including complex transformations and performance optimization, • Experience designing and supporting cloud-based data platforms (Snowflake preferred), • Hands-on experience integrating data from SaaS platforms (e.g., Salesforce) and operational systems, • Familiarity with CI/CD concepts for analytics engineering (version control, deployments, testing), • Strong understanding of data modeling best practices for analytics and reporting, • Experience in healthcare, life sciences, or regulated environments, • Python experience for data engineering or automation, • Familiarity with Azure-based data tooling (ADF, storage, compute), • Exposure to BI tools such as Power BI, Tableau, or ThoughtSpot, • You’ll help define AssistRx’s enterprise data foundation, • Your work will directly impact executive decision-making, client reporting, and patient-centric solutions, • You’ll join a team that values clean architecture, strong engineering standards, and real ownership, • Supportive, progressive, fast-paced environment, • Competitive pay structure, • Matching 401(k) with immediate vesting, • Medical, dental, vision, life, & short-term disability insurance, • Opportunity to impact patient outcomes through data-driven healthcare technology., • Collaborative and mission-driven culture that values innovation and continuous learning., • Access to cutting-edge cloud technologies and modern data engineering tools., • Competitive compensation, comprehensive benefits, and career growth opportunities AssistRx, Inc. is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, religion, color, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, or other non-merit based factors, or any other protected categories protected by federal, state, or local laws. All offers of employment with AssistRx are conditional based on the successful completion of a pre-employment background check. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. Sponsorship and/or work authorization is not available for this position. AssistRx does not accept unsolicited resumes from search firms or any other vendor services. Any unsolicited resumes will be considered property of AssistRx and no fee will be paid in the event of a hire

COMPANY DESCRIPTION: Anvilogic is a Palo Alto-based AI cybersecurity startup founded in 2019 by security veterans and data scientists from Fortune 500 companies. Our mission is to democratize threat detection and hunting for today’s SOC teams to easily be done across hybrid, multi-clouds and security data lakes without needing to centralize data or rip and replace tools. Further, with our investments in AI-powered automation of detection-as-code to create, test, tune and deploy detections, SOC users can implement high-efficacy detection and hunting techniques without writing a single line of code nor manually wrangling data. Anvilogic raised _ funding in April 2024 and is backed by top-tier VC firms and prominent industry executives. Anvilogic’s AI-powered Multi-Data Platform SIEM is used by many of the industry’s most advanced security teams. Learn about our customers: _ JOB DESCRIPTION We are looking for an experienced Staff Software Engineer to lead cross-team technical initiatives for revenue-impacting features in our enterprise cybersecurity platform. You’ll set architectural direction, drive engineering standards, and deliver reliable systems. This is an individual contributor role with influence across our product and teams. Role Responsibilities • Lead architecture designs and technical specifications ensuring scalability, maintainability and performance, • Design and build robust, scalable services and APIs, • Take ownership of software development initiatives from coding and testing to deployment and maintenance, • Perform thorough code reviews to maintain quality, consistency and adherence to coding standards, • Mentor senior engineers providing supportive feedback and promoting a positive and innovative culture within the team, • Collaborate closely with product managers and cross-functional teams to turn business requirements into production solutions Qualifications • 8+ years of software development experience with demonstrated leadership on large scale, distributed systems, • Proficient in at least one modern programming language (e.g. Python, Java, Go), • Ability to hit the ground running with Python 3 service development (FastAPI/Flask), data modeling (Pydantic/SQLAlchemy/Alembic) and testing (Pytest) on AWS, • Strong experience designing, implementing and operating REST APIs at scale, • Deep expertise across relational and non-relational databases including table and schema design and migration management, • Extensive experience with software design principles, architectural patterns and best practices, • Hands-on experience with AWS (e.g. Lambda, SQS, ECS, and EKS) and containerized deployments, • Experience leading projects with a team of engineers and effectively managing resources to meet delivery deadlines, • Excellent written and verbal communication skills with the ability to work effectively in a team environment, • Some experience with LLMs, implementing standard patterns (Agents, RAG, Tools), and leveraging popular frameworks., • Competitive salary with equity in the company, • Comprehensive medical, dental, and vision insurance, • Unlimited paid time off policy for work life balance, • 401(k) retirement plan with company match, • Monthly stipend for home internet and cell phone expenses

Location: Remote (U.S. – Washington, DC Metro Area preferred) Part-Time (960 hours over contract period) Clearance: Eligibility to obtain a U.S. Government security clearance (U.S. Citizenship required) Job Description: Viderity is seeking a skilled Frontend/Backend Developer to build and support a secure, user-friendly federal web portal (e.g., the Applicant Portal). This full-time role involves developing both client-facing interfaces and backend infrastructure, ensuring a seamless experience for users across the system. This role is aligned with the Senior Software Engineer I category under the Mathematica GSA MAS Labor Categories, which includes responsibilities such as software design, coding, debugging, and leading smaller development teams. Key Responsibilities: Frontend: Build and maintain responsive, accessible web portals (508 compliant). Implement clean and intuitive UI/UX using modern frameworks. Develop role-based access control (RBAC) for multi-user environments. Participate in UI/UX reviews and peer code reviews. Backend: Design and maintain RESTful APIs and integration workflows. Manage metadata ingestion pipelines, user authentication, and logic layers. Implement database interactions and secure data transactions. Maintain continuous deployment/integration pipelines. Minimum Qualifications: Bachelor’s degree in Computer Science or related field. 5 years of relevant software development experience. Equivalent substitutions accepted per GSA guidelines. Preferred Skills: React, Angular, or Vue for frontend development. Node.js, Python, or Java for backend APIs. Experience with PostgreSQL, Oracle, or similar RDBMS. Familiarity with CI/CD tools, Docker, and cloud platforms (AWS/Azure). Strong understanding of security, compliance (e.g., FedRAMP, 508), and performance optimization. Why Viderity: At Viderity, you’ll join a mission-driven team supporting innovative federal programs. We empower developers with modern tools, clear processes, and a culture of collaboration. Come build meaningful systems that make an impact. Your application has been successfully submitted! _

Who We Are Renew Home is on a mission to change how we power the world by making it easier for customers to save energy and money at home as part of the largest residential virtual power plant in North America. We partner with industry-leading brands to better manage residential energy for users by prioritizing efficiency, savings, and comfort — and cleaner energy for everyone. We are an Equal Opportunity employer striving to create a diverse, equitable, and inclusive work environment where everyone feels that they have a voice that is heard. We strongly encourage candidates to check out our website at _ to learn more about the world-changing work we are doing. What You Will Do • Core cloud infrastructure — building networking, data services, secrets, and the reusable building blocks that product teams compose on top of using CDK/Terraform., • Cloud infrastructure security — partnering with our security engineer on vulnerability management, patching cadence, secrets hygiene, network segmentation, audit trails, and the day-to-day work of keeping our cloud footprint defensible. You won't own the security program, but you'll be one of the people the security engineer relies on to get things shipped., • Identity & permissions — SSO, federated CI access, and least-privilege role design across a multi-account, multi-cloud estate., • CI/CD platform — the pipelines, runners, and deployment workflows that take code from PR to production safely and quickly., • Observability & on-call health — metrics, logs, alerting, and incident routing that catch real problems. Participate in on-call rotations., • Developer experience — making it easy for engineers in a large monorepo to develop, test, and ship seamlessly., • 5-10+ years of experience., • Strong software engineering background and proficiency in one or more programming languages such as Python, Java, or Go., • Strong production cloud experience, with real depth in at least one major hyperscaler provider (AWS/GCP/Azure)., • Deep experience working with highly-scalable distributed systems in containerized environments. Familiarity with Docker, Kubernetes, or other container orchestration tools for application services., • Experience with automatic vulnerability management and security audits., • Experience with defensive infrastructure and disaster recovery., • Experience designing highly available, fault-tolerant systems with strong understanding of async, concurrency, parallel processing architecture., • Infrastructure-as-code as your default tool — you've designed reusable abstractions, not just one-off stacks., • Experience with CI/CD systems in a non-trivial environment., • Solid grasp of identity, access, and secrets management at scale., • A track record of operating production systems: on-call, runbooks, and alerts that signal real issues., • Bonuses:, • Fluency with AI-assisted development tools with an eye for secure, scalable and robust services. You use coding agents, LLM-driven code review, and AI-powered debugging to move faster and raise the quality bar, and you have a point of view on where they help and where they don't., • Multi-cloud experience., • Workflow orchestration and large-scale data infrastructure., • Kubernetes operations beyond the basics., • Background in energy, utilities, IoT, or other regulated / SLO-sensitive domains. What You'll Get • A full-time position, with a competitive salary based on experience. The base salary for this role is: $160k - $200k. We use market data and consider your job family, background, skills, experience, and U.S. work location to determine compensation within our established pay range., • Fully remote work environment with home office set-up allowance., • Real and lived work-life balance - Company perks include no pre-set vacation limits (with a top-down culture of taking meaningful PTO every year!), parental leave benefits, and a corporate value of working sustainably and putting families first., • Competitive benefits package that includes numerous health and wellness benefits., • 401(k) plan, with employer contributions to the same., • Opportunity to work with amazing people who are passionate about their mission, thriving in a fully-remote work environment, and learning and growing every day. At this time, Renew Home is unable to sponsor or take over sponsorship of employment visas. Candidates must be authorized to work in the United States without current or future immigration from the company, including training plans for foreign students. EQUAL OPPORTUNITY EMPLOYER Individuals seeking employment at Renew Home are considered without regard to race, color, religious creed, sex, gender identification, national origin, citizenship status, age, physical or mental disability, sexual orientation, marital, parental, veteran or military status, unfavorable military discharge, or any other status protected by applicable federal, state or local law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Note: The role is strictly for candidates within the United States. We are seeking a highly skilled and passionate Software Engineer to join our talented team at Orvix Engineering. In this role, you will be responsible for designing, developing, testing, and maintaining software solutions that power our engineering processes and solutions. You will work on cutting-edge projects, collaborating with cross-functional teams of engineers and stakeholders to create high-performance, scalable, and reliable systems that support our diverse engineering initiatives. As a Software Engineer at Orvix Engineering, you will be at the forefront of technological advancements, solving complex engineering problems with innovative software solutions. The ideal candidate will have strong problem-solving skills, proficiency in multiple programming languages, and the ability to work effectively within an agile development environment. • Design, develop, and maintain high-quality software solutions to meet the needs of engineering teams, clients, and other stakeholders., • Collaborate with engineering and project teams to understand technical requirements and create software solutions that align with project goals., • Write clean, maintainable, and efficient code using modern software development practices., • Develop software across the full stack (front-end, back-end, and databases) when necessary, ensuring seamless integration and functionality., • Ensure that software meets performance, security, and scalability requirements to support complex engineering workflows. 1. Software Testing & Quality Assurance • Participate in testing and debugging software to ensure functionality and resolve issues efficiently., • Write and execute unit tests, integration tests, and end-to-end tests to ensure software quality and reliability., • Work with QA engineers to identify areas for improvement and ensure that all software meets the highest standards of quality before release., • Continuously evaluate software performance, identify bottlenecks, and optimize code for better efficiency and scalability. 1. Collaboration & Cross-Functional Teamwork • Work closely with other engineers, project managers, designers, and stakeholders to ensure software solutions align with project objectives and timelines., • Collaborate with product managers and business analysts to understand user requirements and translate them into technical specifications., • Participate in agile development cycles, including sprint planning, daily stand-ups, and sprint retrospectives., • Provide technical guidance and mentorship to junior engineers, fostering a collaborative and supportive team environment., • Contribute to code reviews, ensuring adherence to coding standards, best practices, and high-quality software development principles. 1. Innovation & Problem Solving • Solve complex engineering problems by developing innovative software solutions that drive improvements in operational efficiency, data processing, and system integration., • Continuously explore emerging technologies and best practices in software engineering, and apply them to current projects where applicable., • Investigate new tools, libraries, and frameworks to improve software functionality and development workflows., • Collaborate with engineering teams to identify areas of improvement in existing software systems and propose solutions for enhancing their performance and capabilities. 1. Documentation & Reporting • Write and maintain clear and comprehensive technical documentation for software systems, ensuring that all code is well-documented and accessible to other team members., • Document software designs, architectural decisions, and workflows to facilitate knowledge sharing and ensure future maintainability., • Provide regular progress reports to engineering managers and team leads, ensuring transparent communication regarding project status, risks, and challenges. 1. Continuous Improvement & Professional Development • Continuously improve your technical skills and knowledge through professional development opportunities, training, and certifications., • Stay up-to-date with the latest developments in software engineering practices, programming languages, and emerging technologies., • Participate in knowledge-sharing activities, such as team discussions, tech talks, and coding challenges, to foster a culture of learning within the team. Required Skills & Qualifications: • Bachelor's degree in Computer Science, Software Engineering, or a related field., • 1+ years of experience in software development, with a strong portfolio of successful projects., • Proficiency in programming languages such as Java, Python, C#, JavaScript, or similar (with experience in both front-end and back-end technologies preferred)., • Experience with web frameworks and libraries (e.g., React, Angular, Django, Flask, .NET, Node.js)., • Strong understanding of databases (SQL and NoSQL), and experience with data modeling, queries, and performance optimization., • Knowledge of software development methodologies, including Agile and Scrum., • Familiarity with version control tools, such as Git., • Strong problem-solving abilities, with an analytical mindset and attention to detail., • Excellent communication skills, both written and verbal, with the ability to work effectively with cross-functional teams. Preferred Skills & Qualifications: • Experience with cloud platforms (AWS, Azure, Google Cloud) and containerization (Docker, Kubernetes)., • Familiarity with microservices architecture and distributed systems., • Knowledge of continuous integration/continuous deployment (CI/CD) pipelines., • Experience with testing frameworks and automated testing tools (e.g., JUnit, Selenium, pytest)., • Familiarity with DevOps practices and tools., • Knowledge of software security best practices and experience implementing secure software solutions., • Experience in developing engineering tools or software used in technical environments (e.g., CAD software, simulation tools, data analysis tools). Job Types: Full-time Pay: $40.00 - $57.00 per hour Experience: 1 year (Preferred) Expected hours: 40 per week Work Location: Remote Schedule: • Monday to Friday Benefits: • 401(k) matching, • Dental insurance, • Health insurance, • Life insurance, • Paid time off (PTO), • 401(k) matching, • Dental insurance, • Health insurance, • Life insurance, • Paid time off (PTO)

Role: ML/AI Engineers (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,(_) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company – we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence: Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: · Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. · Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. · Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. · Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. · Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. · Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. · Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. · Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. · Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. What You’ll Bring Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data Engineering background, especially in one of the major clouds. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

To apply, please send the following to hive.recruitment@towerbrook.com • Your resume / CV, • A short blurb introducing yourself and explaining why you are a good fit for the Hive, and confirming which location your're applying to (New York or London). Keep it short & real, no need for a fancy cover letter!, • Links to anything cool you’ve built with AI for work, school, or even just on your own time Position Overview The AI Hive is TowerBrook’s new fellowship for applied AI builders. This is not an analyst program and it is not a consulting role. Fellows do not produce slides about what AI could do. Fellows train intensively inside TowerBrook for six months, with the opportunity to progress into a twelve-month embed inside one of our portfolio companies as an Applied AI Engineer, working directly with CEOs and operating teams to ship AI-native solutions that move real numbers. The fellowship runs in two phases. In Phase 1 (six months), fellows are based at TowerBrook in New York or London, training with leading external AI partners and shipping high-priority internal projects across the firm. Fellows who excel in Phase 1 are considered for Phase 2 (twelve months): a full-time, onsite embed inside a TowerBrook portfolio company, working in person alongside the management team and reporting to the CEO, CTO, or Head of AI, and delivering milestone-based work with measured business outcomes. Fellows in this first cohort will have a unique opportunity to shape how TowerBrook builds and deploys AI talent across the portfolio Responsibilities Phase 1. Inside TowerBrook (Months 1 to 6) • Complete a three-week intensive training program with a leading AI-native training partner, covering prompt engineering, agent architecture, Claude Code and other coding assistants, workflow automation (n8n, Lovable), Python, and enterprise AI governance., • Pair with internal devs and senior engineers from best-in-class applied AI firms on live TowerBrook projects, shipping working prototypes within the first six weeks., • Lead at least two internal builds with named senior sponsors as business owners. Projects may span front, middle, or back office (investment teams, operations, finance, IR, compliance, knowledge management) depending on firm priority. Deliver shipped output, not recommendations., • Contribute to the shared Hive knowledge base (reusable agents, templates, playbooks) that compounds across future cohorts. Phase 2. Portfolio Company Assignment (Months 7 to 18) • Match into a portfolio company across TowerBrook verticals based on fit, and relocate as needed to work onsite at the company’s primary office for the duration of the twelve-month embed. Matching is jointly led by the Program Lead, the senior program sponsor, and TowerBrook’s Technology Operating Partners., • Run a four-week diagnostic sprint: map workflows, validate pain points, and produce a twelve-month build roadmap signed off by the company CEO and the TCP sponsor., • Execute three to five milestone-based build sprints of eight to twelve weeks, each delivering measured output (hours saved, revenue uplift, cost reduction, new capability shipped)., • Report directly to the company CEO, CTO, or Head of AI, while retaining ongoing connectivity to TowerBrook for the duration of the engagement., • Attend monthly Hive-wide cross-pollination sessions with other fellows and coordinators. Document learnings for the Hive knowledge base., • At the close of the twelve-month deployment, transition into one of four paths: a full-time role at the portfolio company, redeployment to a second company, a role at TowerBrook, or release into the TCP alumni network. Professional Qualifications & Experience • One to three years of post-university experience in a builder role. We read “builder” broadly: software engineering, data, product, operations with automation exposure, quantitative research, consulting with hands-on implementation, or early-stage startups. Candidates with fewer than one year or more than three years of experience are out of scope for the pilot cohort., • A technical or quantitative undergraduate background is welcome: computer science, engineering, physics, applied mathematics, statistics, computational biology, industrial engineering, operations research, information systems, or quantitative economics. We will also consider non-technical majors with visible builder evidence such as a GitHub portfolio, shipped side projects, or published technical writing., • Fluency with modern AI tools. You already use Claude or ChatGPT daily as a core part of your workflow, not as a novelty., • Working proficiency in Python or another scripting language is a plus — enough to prototype end-to-end without supervision is ideal, but not required. Formal ML engineering or data science experience is not required and is not what we are optimizing for., • Demonstrated evidence of shipped work outside a structured environment: a side project, an automation built at a previous role that nobody asked for, a product used by real users, or published writing with an audience. What you built matters more than where you built it., • Right to work in the United States (for New York candidates) or the United Kingdom (for London candidates) is preferred. Visa support may be available for exceptional candidates. Personal Qualifications • Stakeholder presence. At ease working with a company CEO or a TowerBrook partner, approaching business problems with curiosity and humility., • AI-native instinct. You reach for AI tools naturally during ideation and problem solving., • Builder disposition and bias for action. You try things rather than endlessly plan, and you pick up new tools quickly, including things outside your formal training., • Written communication. You can produce a crisp one-pager that a senior partner or a company CFO will actually read. Compensation & Benefits of working at TowerBrook • The base salary range for this role is $130,000 – $150,000. Compensation also includes eligibility for a discretionary annual bonus and a competitive benefits package, • Intensive applied AI training with a curated set of leading external partners across AI-native education and applied engineering, • Direct mentorship from senior TowerBrook partners, Technology Operating Partners, and portfolio company CEOs, • Guest seminar program featuring frontier AI lab teams, applied AI practitioners, and high-signal technical writers, • Clear post-fellowship pathways: full-time hire at the portfolio company, full-time role at TowerBrook (Applied Engineer, investment associate, or Hive coordinator), redeployment to a second portfolio company, or release into the TCP alumni network, • Access to cutting-edge AI tooling and early-access relationships with leading AI labs through TowerBrook’s partner networks, • A collaborative, entrepreneurial culture within a globally respected investment firm

Backend Engineer (AI Focus) – New York My client is a well funded early stage startup building a high scale social platform from the ground up. They are focused on building persistent, high performance systems capable of supporting massive real time traffic. Engineers joining my client will have the opportunity to work on a greenfield platform at scale, join a focused and highly capable team, and take ownership of critical backend systems from day one. The environment is fast paced and highly collaborative, with a strong emphasis on building systems that enable AI-driven product experiences, supported by long term financial stability. The Role My client is looking for a Backend Engineer with strong experience in distributed systems and an interest in AI-powered products. You will play a key role in designing and building the core infrastructure that powers real-time, intelligent user experiences at scale. Key Responsibilities • Design, build, and deploy backend services using TypeScript and NestJS with a focus on performance, scalability, and maintainability, • Architect and implement high traffic APIs, authentication systems, and distributed services enabling real-time and AI-enhanced product features, • Model and optimize data systems across relational databases, caches, and event streaming platforms to support both operational workloads and AI-driven insights, • Build resilient, event-driven systems using pub sub patterns and long-lived connections that handle large scale concurrent usage, • Work closely with AWS infrastructure to improve deployment pipelines, scalability, and overall system reliability, • Support backend systems that enable AI and machine learning workflows, including data pipelines and real-time inference services, • Collaborate with a small, high-performing engineering team to make strong technical decisions and execute quickly with high ownership Technical Requirements • Strong expertise in TypeScript, Node.js, and NestJS, with the ability to design and build production grade backend systems, • Proven experience implementing secure authentication systems using OAuth, FIDO2 or WebAuthn, and JWT, • Hands on experience working with Prisma ORM, PostgreSQL or Aurora, Redis, and DynamoDB across high-scale environments, • Experience with analytics or high performance data stores such as ClickHouse is beneficial but not required, • Strong understanding of distributed systems, including event driven architecture, pub sub patterns, and message brokers such as Kafka or AWS MSK, • Experience building real time systems, • Deep familiarity with AWS and cloud infrastructure, including services such as Aurora Global Database, RDS Proxy, ElastiCache or Valkey, EKS, and Terraform, • Experience working with observability tooling such as LGTM stack and implementing modern CI/ CD pipelines, • Proven track record of building external facing systems where performance, concurrency, and reliability are critical

🚀 Agentic AI Engineer🚀 ✨Series A Fintech Start-Up ✨ 💎Equity you WILL realise💎 📍 Manhattan, New York 💸 $200k - $300k depending on level 🧩 $160k equity vested over 4 years 🚨 This is a career-defining role 🚨 This role sits inside one of the fastest-growing Series A Fintech start-ups, building production-grade agentic systems for complex, high-stakes enterprise workflows. The business has scaled at exceptional speed, closed a record-breaking Series A at the end of last year, and is now focused on building an elite engineering team to own the core AI infrastructure end-to-end. 💪 The Environment • Exceptional, high-performing teams, • Engineers work directly with founders daily, • No layers, no slow approvals, no hand-offs The intensity is deliberate. The aim is compression: • Faster learning curves, • Faster iteration cycles, • Faster ownership and decision-making 🧩 What You’ll Actually Be Building You will own and drive large portions of the AI agent infrastructure, from design through to production deployment. • Designing and deploying multi-agent systems, • Building and integrating RAG pipelines, • Creating evaluation frameworks (evals) to measure accuracy, reliability, and safety, • Shipping AI-powered features used by real enterprise customers, • Building backend services and APIs (Python, Django / FastAPI preferred), • Working across the stack — APIs, databases, infrastructure, and deployment pipelines, • Ensuring systems are scalable, performant, and secure in production 🧠 Who This Is For You’ll likely have: • Foundational software engineering experience, • Hands-on experience designing and deploying AI systems into production, end-to-end, • Strong backend engineering skills (Python), • Experience with relational databases, Redis, task queues, and background workers, • Familiarity with Docker, Kubernetes, and modern cloud infrastructure, • Experience with RAG, agent orchestration, and LLM evaluation techniques, • A high tolerance for ambiguity and shifting priorities 🏆 Why Exceptional People Say Yes Top engineers don’t optimise for comfort — they optimise for trajectory. • Talent density permanently raises their bar, • Founder access is direct and unfiltered, • One year of learning feels like several elsewhere, • The experience compounds long after they leave Then this is one of the most compelling Applied AI Engineering opportunities globally right now. #AIjobs #AIhiring #startup

Software Engineer, Machine Learning New York About the Firm A leading global hedge fund with over 40+ billion in AUM and a long track record across fundamental and systematic strategies. The firm invests across asset classes and geographies, with a strong focus on building high-performing teams and developing talent over the long term. The Team You’ll join their Knowledge Graph Intelligence Team focused on building intelligent systems powered by modern machine learning and graph-based technologies. The group partners closely with product managers, engineers, and data scientists to develop scalable platforms that support advanced analytics and decision-making. The team operates at the intersection of data, infrastructure, and AI—leveraging open-source tools, cloud-native architecture, and distributed systems to push forward next-generation ML capabilities. What You’ll Do This is a highly data-focused engineering role centered on building and scaling ML infrastructure end-to-end. You will: • Design and build systems that support the full ML lifecycle, from data ingestion and feature engineering to model training, deployment, and monitoring, • Develop event-driven architecture using technologies like Kafka, gRPC, and modern API frameworks (e.g., FastAPI, Spring WebFlux, Axum), • Build and scale robust data pipelines (ETL/ELT) using tools like Spark, dbt, and workflow orchestrators, • Help define and implement a Feature Store strategy, • Own and improve MLOps workflows including model versioning, CI/CD, experiment tracking, and evaluation, • Implement production-grade deployment strategies (canary, blue-green, A/B testing, shadow deployments), • Optimize inference performance for large-scale models, including LLMs, with a focus on latency and throughput, • Partner with data scientists to productionize models and improve performance through efficient engineering, • Manage infrastructure using Terraform across cloud-based environments Requirements • 4+ years of experience in software engineering, data engineering, or ML engineering, • Strong SQL skills, • Experience building and orchestrating data pipelines (e.g., Spark, dbt, Airflow/Dagster) and working with modern data warehouses (Snowflake, Redshift, BigQuery), • Experience with infrastructure as code (Terraform), • Strong experience with Docker and Kubernetes, • Hands-on experience with CI/CD and ML tooling (e.g., Jenkins, MLflow, Kubeflow, Weights & Biases), • Experience working with AWS (S3, EC2, Lambda, RDS, EMR), including programmatic interaction (Boto3) and ML services (e.g., SageMaker), • Solid understanding of ML systems and trade-offs in production environments, • Experience working with advanced ML use cases such as recommendation systems, anomaly detection, graph-based models, or time-series systems What They Offer • Comprehensive health benefits, • Generous parental leave, • 401(k) with employer match, • Wellness programs (mental & physical), • Tuition reimbursement, • Employee resource groups and community initiatives

Title: MLOps Engineer Location: New York, NY (Hybrid) Duration: 6 Months Partnering with ML Engineers, Data Scientists, and Platform Engineering, the MLOps Engineer owns the production lifecycle of machine‑learning systems. This role is responsible for deploying, operating, scaling, monitoring, and governing ML workloads so they run reliably, securely, and cost‑effectively in production. The MLOps Engineer ensures that models and inference pipelines built by ML Engineers can be safely promoted across Dev, QA, and Prod, meet operational SLAs, and evolve without introducing instability or uncontrolled cost. This is a production operations role, focused on runtime behavior, infrastructure, and reliability. What You’ll Do • Design, deploy, and operate end‑to‑end production ML pipelines across Dev, QA, and Prod environments., • Set up and manage AWS SageMaker pipelines, endpoints, and monitoring for large scale inference workloads, including embedding generation, named entity recognition, reranking, and video processing., • Own GPU and CPU infrastructure selection, scaling, and optimization, including instance benchmarking, autoscaling behavior, and load testing., • Deploy, monitor, and operate inference services that support hundreds of thousands of queries per day across text, image, and video pipelines., • Establish standardized ML deployment patterns at AP, including:, • Containerization and orchestration strategies, • Environment isolation (Dev / QA / Prod), • Versioned promotion, rollback, and recovery mechanisms, • Implement monitoring, alerting, drift detection, and evaluation metrics for production ML systems, tracking latency, error rates, throughput, and model/data drift., • Enable A/B testing and controlled rollout strategies for ML models in production, in partnership with engineering and product teams., • Partner closely with ML Engineers, Data Scientists, DevOps, and Platform teams to:, • Operationalize new models and pipeline improvements, • Promote systems across environments safely, • Ensure deployments meet reliability, scale, and cost targets, • Manage high-throughput I/O and data movement for large collections of media assets (text, images, video), avoiding CPU, network, and storage bottlenecks., • Reduce operational risk by enforcing reproducibility, observability, security, and cost controls across all production ML systems. Required Skills & Experience • Hands‑on experience deploying and operating ML inference systems in production., • Strong experience with AWS SageMaker, including pipelines, endpoints, monitoring, and multi‑environment deployments., • Expertise deploying ML models using PyTorch and TensorFlow from an operational and serving perspective., • Proven experience with model deployment and orchestration, including containerized inference and autoscaling., • Experience selecting, evaluating, and optimizing compute resources (GPU/CPU) for production ML workloads., • Experience setting up monitoring, evaluation metrics, and A/B testing frameworks for ML systems in production., • Ability to collaborate effectively with ML Engineers, Data Scientists, and platform teams in a shared ownership model. Strongly Preferred • Operational experience supporting ML systems involving:, • Transformer‑based NLP models (e.g., BERT‑family models), • Computer vision models, • Ranking and reranking systems, • Familiarity operating systems that use common ML model types such as:, • Convolutional and feed‑forward neural networks, • Ranking algorithms, • Approximate Nearest Neighbor methods (e.g., HNSW), • Experience running ML workloads over large‑scale text, image, and video datasets.

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

Sr Production Engineer Duration: 12 Months (with possibility of extension based on performance and business needs.) Location: Remote: US ( Occasional travel to Yahoo offices Sunnywale, Ca or New York, NY) Coding test: Required Pay: $85-$100/Hr How does this role fit within the team/department? This role sits within Yahoo Mail's Production Engineering. Engineers in this role directly support cloud infrastructure reliability, cost efficiency, and automation for one of the world's largest consumer email platforms, serving hundreds of millions of users globally. Overview Of The Team Yahoo Mail Production Engineering manages GCP-based infrastructure including GKE clusters, Compute Engine, Dataproc, Vertex AI and more gcp services. The team is responsible for production reliability, capacity planning, cost optimization, CI/CD pipelines, MLOPS, and infrastructure-as-code across 40+ GCP projects on an extra large, petabyte data size scale. We work in close collaboration with software architects, developers and product managers to deliver end to end results. Primary responsibilities (daily/weekly)? • Operate, monitor, and improve GKE apps, Analytics, and ML production workloads, • Manage Terraform/Ansible/Helm IaC for GCP resource provisioning and policy enforcement, • Participate in on-call rotation for production incidents, • Review and improve CI/CD pipelines for services deployed in Python, Node.js, and Java, • Collaborate with architects and developers on infrastructure architecture and design, • Automate cloud operations through programmable and secure solutions, • Leverage AI-driven tools for development agents, troubleshooting, and automation Key projects or initiatives for the role? • On-prem to GCP migration of large-scale Yahoo Mail workloads, • Analyti- Analytics pipeline and reliability improvementsplatform work (Vertex AI, Generative AI, BigQuery, Looker, Dataproc) Success metrics or KPIs for this role? • On-call incident resolution time and escalation rate (MTTD, MTTR, MTTE), • Terraform/IaC coverage of managed resources, • CI/CD pipeline reliability and deployment velocity, • Progress on on-prem to GCP migration milestones, • Sprint goal achievement (SMART goals per sprint) Technical (Required) • 5+ years in SRE, DevOps, Infrastructure, or Cloud Operations with on-call duties, • GCP services proficiency: GKE, GCE, Networking, Security, CI/CD, and common cloud technologies, • IaC proficiency: Terraform, Ansible, and Helm Charts, • Programming in Python, Node.js, and Java; ability to build CI/CD pipelines in these languages, • Linux, TCP/IP, HTTP, mail protocols, DNS, CDN, load balancers, and troubleshooting, • Experience with large-scale production applications, systems, and networks Technical (Advantageous) • Cloud databases and storage: GCS, Cloud SQL, Spanner, Memorystore, • ML/AI platforms: Vertex AI, Generative AI, BigQuery, Looker, Dataproc, • Cloud Observability and OpenTelemetry, • Proven track record migrating on-prem infrastructure to GCP, • Operational experience in both on-prem and cloud environments Ideal experience level (years, leadership, industries)? 5+ years total cloud/SRE experience, with preference for GCP. Experience at large-scale internet companies with petabytes level data production systems is strongly preferred.

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

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

JCW is partnering with a leading investment bank seeking a Workplace Technology Engineer to support the design, deployment, and continuous improvement of enterprise Microsoft-focused workplace solutions. This individual will play a key role in building scalable, secure, and well-governed end-user technology environments while driving automation initiatives and supporting critical infrastructure projects across a highly regulated financial services organization. This role sits at the intersection of endpoint management, network infrastructure, collaboration technologies, and identity governance, working closely with business stakeholders, infrastructure teams, and vendors to deliver reliable, modern workplace solutions aligned with organizational standards and change management processes. This role operates on a hybrid schedule out of NYC Key Qualifications: • 5+ years of hands-on Workplace Technology or End-User Computing experience, with strong expertise across Microsoft 365, Intune, Entra ID, and Conditional Access policies — with a focus on engineering and optimization, not just day-to-day operations, • Proven experience designing and managing endpoint management solutions using Microsoft Intune, including device compliance policies, configuration profiles, and application deployment across Windows environments, • Strong experience with Cisco Meraki for network infrastructure management, including wireless, switching, and security appliances in an enterprise setting, • Hands-on experience supporting AV and conferencing technologies, including HDMI-to-Ethernet infrastructure solutions and meeting room system deployments, • Demonstrated ability to design and implement automation solutions using PowerShell, Microsoft Power Automate, or similar tools to streamline workplace operations and reduce manual overhead, • Experience supporting Active Directory initiatives, including identity lifecycle management, group policy administration, and hybrid AD/Entra ID environments, • Familiarity with Microsoft Defender, BitLocker/BDI, and endpoint security frameworks within a compliance-driven, regulated industry environment, • Strong understanding of M365 collaboration tools including Teams, SharePoint, and Exchange Online, with experience optimizing adoption and governance at scale If this sounds like you, feel free to apply!

Desktop Support Engineer New York, NY (Onsite) 12+ Month Contract About the Opportunity We’re partnering with a well-established investment firm to bring on a Desktop Support Engineer for a high-visibility role supporting a fast-paced front-office environment. This is an opportunity to join a collaborative IT team where responsiveness, professionalism, and strong user partnership are key. The role is ideal for someone who enjoys hands-on support, thrives in dynamic environments, and takes pride in delivering a high level of service to end users. What You’ll Be Doing • Provide hands-on desktop support across a fast-paced user environment (in-person, phone, and remote), • Act as an escalation point for complex technical issues and ensure timely resolution, • Support Windows environments, Office 365, and identity management (Active Directory / Entra ID), • Troubleshoot trading and business-critical applications (e.g., Bloomberg, Citrix), • Manage hardware lifecycle: imaging, deployment, troubleshooting, and asset tracking, • Handle onboarding/offboarding, desk setups, and workspace moves (MAC requests), • Support conference room technologies and AV systems, • Collaborate with IT teams on system upgrades, projects, and process improvements, • Maintain clear documentation within internal knowledge bases (e.g., SharePoint, Confluence) What We’re Looking For • 5+ years of experience in desktop support, help desk, or end-user services, • Experience in fast-paced or high-demand environments (financial services is a plus), • Strong working knowledge of:, • Windows OS & desktop/laptop support, • Active Directory / Entra ID, • Office 365 administration, • Endpoint management (e.g., Intune or similar), • Familiarity with Citrix, VDI, or trading tools (Bloomberg, etc.) is a plus, • Experience supporting conference room / AV setups is a plus Key Traits for Success • Customer-first mindset with a strong sense of ownership, • Clear, concise communicator who can translate technical issues effectively, • Collaborative team player who values input from others, • Calm under pressure and adaptable in a fast-moving environment, • Detail-oriented with strong follow-through Additional Details • Contract role (up to 12 months) with potential for long-term opportunity, • Must be comfortable working onsite full-time, • Occasional flexibility for off-hours support may be required

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