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Job Description At TixTrack, we support our clients by creating superior ticketing solutions for performing arts and cultural institutions through a combination of modern technology, beautifully simple design, and the art of listening. Headquartered in the heart of the Broadway Theatre District, NYC, we are a small, but growing team of hardworking, highly motivated individuals. We are passionate about our work and driven to innovate with our customers to solve current and future challenges with new solutions. Our core product, Nliven, is a real-time platform that helps venues manage ticket sales efficiently while creating a more engaging buying experience for customers. With a presence across both the US and UK, we are anticipating robust growth in 2026. Even with a highly dispersed, largely remote workforce, we stay connected through our Slack channels, virtual events and regional meetups. Come see how we “role”. About The Role The Platform Engineering team builds the systems, tooling, and operational standards that enable product teams to deliver software safely, frequently, and independently as the company grows.The Platform Engineer is responsible for contributing as part of this team, helping to lead the design, scalability, reliability, and operational excellence of the company’s platform infrastructure and core services. This role partners closely with Engineering, Product, and Cybersecurity to architect and evolve systems that support a highly available, secure, and resilient multi-tenant SaaS environment. As a senior individual contributor, the Platform Engineer applies advanced reliability and systems engineering principles to production environments, influencing architectural decisions and long-term platform strategy. This role balances speed of delivery with operational maturity, ensuring the platform scales effectively while maintaining high standards of performance, security, and uptime. This position reports to the Platform Engineering Manager. This position is full-time and fully remote. Candidates must be located in one of the following states: New York, New Jersey, Connecticut, California, Oregon, Colorado, Texas, Wisconsin, Minnesota, Louisiana, Florida, Virginia, North Carolina, and South Carolina. Candidates may be required to travel and/or meet up in-person from time to time. There may also be an expectation in the future for hybrid work in a local office. About You * You bring deep experience designing and operating production-grade cloud platforms, ideally within Microsoft Azure, and have helped evolve infrastructure that supports reliable, highly available SaaS systems at scale. * You have led or played a major role in complex platform initiatives, such as Kubernetes adoption, infrastructure modernization, or safely decomposing monolithic systems while the business continued shipping product.. * You have strong experience building and evolving CI/CD pipelines, infrastructure-as-code frameworks, and deployment automation that allow engineering teams to ship software safely and frequently. * You think in terms of systems, reliability, and operational maturity, with experience designing observability practices, incident response processes, and service reliability standards that improve uptime and reduce operational friction. * You naturally raise the technical bar around you, documenting architecture decisions, mentoring engineers, and helping teams adopt stronger reliability, observability, and operational practices across production systems. What You'll Do * Lead the design, implementation, and evolution of reliable, scalable platform infrastructure supporting the company’s SaaS products and APIs. * Partner with engineering teams to evolve platform architecture over time, supporting safe system decomposition, service ownership, and scalable service boundaries. * Architect and maintain infrastructure-as-code frameworks and automation standards to ensure consistency and repeatability across environments. * Establish and refine monitoring, alerting, logging, and observability practices to proactively detect and resolve system issues. * Own and improve incident response frameworks, root cause analysis processes, and post-incident reviews, driving systemic improvements. * Define and guide service level objectives (SLOs), service level indicators (SLIs), and error budgets to support reliability-driven decision-making. * Partner with Engineering teams to embed reliability, operability, and scalability considerations into system architecture and deployment workflows. * Lead improvements to CI/CD pipelines, deployment automation, and platform tooling to increase developer velocity and reduce operational friction. * Drive capacity planning, performance optimization, and scaling strategies to ensure platform readiness for growth and peak usage. * Collaborate with Security and Engineering leadership to ensure platform resilience, data protection, and compliance best practices are embedded in infrastructure design. * Provide technical leadership and mentorship to engineers across teams, influencing platform standards and architectural best practices. * Contribute to documentation, operational standards, and runbooks to ensure consistency and knowledge sharing. * Participate in on-call rotations and provide production support as needed to maintain system uptime and reliability. Other Duties Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for the job. Duties, responsibilities, and activities may change at any time with or without notice. What You'll BringMinimum Requirements * Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. * 8+ years of experience in Site Reliability Engineering, Platform Engineering, DevOps, Infrastructure Engineering, or related roles within a SaaS environment. * Demonstrated experience designing and supporting highly available, production-grade cloud infrastructure. * Deep experience with cloud platforms (Azure preferred), networking, and distributed systems architecture. * Strong experience with infrastructure as code, automation frameworks, and CI/CD pipeline design. * Experience supporting multi-tenant SaaS systems with high availability, uptime, and performance requirements. * Experience with containerization and orchestration technologies (e.g., Kubernetes). * Experience leading complex technical initiatives or serving as a senior technical advisor across engineering teams. Essential Skills * Strong systems-thinking and architectural judgment, with the ability to design scalable, resilient solutions. * Advanced troubleshooting and root cause analysis skills across distributed systems. * Ability to influence technical direction without direct authority. * Strong written and verbal communication skills, including the ability to document architecture decisions and operational processes. * Ability to balance long-term platform strategy with short-term business priorities. * High level of ownership, accountability, and attention to detail. * Ability to work independently while collaborating effectively across Engineering, Product, and Cybersecurity teams. * Commitment to operational excellence and continuous improvement. Tools You’ll Use * Slack * Jira * Confluence * GitHub * Visual Studio Code / IDE * Datadog * AI-assisted development tools (GitHub Copilot) What We Value Find Harmony - We confidently manage our work priorities and feel comfortable taking time to enjoy life outside of work. Have a Clear View - We are transparent and honest, understand our roles, and know how we contribute. Be a Fan - We are passionate about our work and driven to innovate with our customers to solve current and future challenges with new solutions. Welcome All - We are a diverse group of employees that come together as a team, without ego, and do great work. Perform at Your Best – We are committed to our customers success, always willing to listen and improve, to ensure our products exceed expectations. How We Work Radical Curiosity - We Stay Hungry - We approach each day with curiosity and accountability; learning, engaging fully, questioning assumptions, connecting our work to the bigger picture, and always keeping the customer at the center. Embrace Change - We Own Outcomes Together - We succeed by holding ourselves accountable, collaborating deeply across teams, embracing change, and continuously improving together. Seek Solutions - We Continuously Innovate Together - We focus on solutions and client value by acting decisively, prioritizing what matters most, and turning ideas into results through rapid, iterative action. Empathy - We Grow Together - We listen deeply to our customers and to each other, using data, empathy, and mutual respect to grow stronger together. Transform - We Raise The Bar - We set high standards, honor our commitments, and move forward every day with a success mindset, driving continuous improvement and quality for our customers. Our Commitment to Diversity TixTrack is committed to a workplace where everyone is free from bias, prejudice, discrimination, and harassment. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. We strive to ensure a welcoming work environment where everyone belongs and is valued, encouraged, & respected. We embrace and celebrate the unique experiences, perspectives, and cultural backgrounds that each employee brings to our workplace. We are focused on building a culture that acknowledges and values diversity, equity, and inclusion. What We Offer * A base annual salary range of $170,000 - $195,000, commensurate with experience * Eligibility for annual bonus based on performance and company success * 100% of premium paid for medical, dental and vision benefits for employee and dependents, with an HSA-eligible option (with a $1,000 employer contribution for 2026) * Company-paid life insurance * Traditional and Roth 401k plans * Paid parental leave * Learning & development opportunities with company reimbursement for eligible educational expenses * Working abroad opportunities * Volunteer days off * Flexible scheduling * Up to $300 reimbursement for initial equipment to set up hybrid work environment * Generous PTO and holiday schedule * Remote work environment California Applicants: CCPA/CPRA Notice Right to Work Poster Notice of E-verify Participation Our team is here to support you throughout the hiring process with reasonable accommodations. We strive to provide an unbiased and equitable interview experience for all applicants. If you need assistance applying for a role due to a disability or special need, please let us know by emailing .

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

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

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

Job Description Term: June – August 2026 (3 months, full-time) Permanent positions may be offered to selected candidates upon successful completion of their internship, subject to performance. About us Cornspring is an innovative FinTech start-up with a mission to empower Family Offices and Asset Owners with real-time, AI-driven data intelligence and portfolio insights. We are tackling one of the most complex and valuable challenges in finance. Our clients operate at the highest levels of global markets, managing billions in assets, yet they remain constrained by legacy systems that are slow, fragmented, and outdated. Cornspring is redefining Family Office services by applying state-of-the-art generative AI and Large Language Models to investment, accounting, and operational data. Our platform delivers faster insights, greater transparency, and entirely new ways of interacting with financial information. The role We are looking for an enthusiastic and driven Data Engineer Intern to build and maintain ingestion pipelines and validation / reconciliation logic. If you like system thinking, performance, reliability, and debugging complex problems with strong engineering discipline, we would love to speak with you. Key responsibilities • Build efficient data pipelines for financial data flows whilst ensuring data and analytics are leveraged for future growth., • Monitor data movement, transformation logic and performance of all pipelines as required to maintain data integrity and quality supplied to ML processes. Educational Background and Professional Experience • Undergraduate (junior/senior preferred) or graduate students in Computer Science, Data Science, or a related field., • Experience designing, building, and maintaining data pipelines for large-scale data solutions. Core Technical Proficiencies • Proficiency in Python, pandas and data science libraries plus solid SQL skills for querying and manipulating large datasets. Experience with PostgreSQL is preferred., • Ability to design scalable, secure data models and implement best practices for data storage and retrieval., • Familiarity with AI for coding, machine learning applications and approaches to maintain high-quality, compliant data for AI-driven use cases. Experience with data unit testing is preferred., • Good communication skills to collaborate with cross-functional teams - including data scientists, AI engineers, and business stakeholders - to deliver secure, high-performing data solutions., • Experience with unstructured data processing is a plus., • Compensation: $20-30 per hour, • Hybrid working: three days per week in our Manhattan office., • An opportunity to work at the forefront of AI-driven finance, tackling genuinely complex and high-impact challenges., • Hands-on exposure to advanced ML, LLM, and data technologies within real production systems., • A collaborative, high-ownership start-up environment offering exceptional learning opportunities., • The chance to help shape the future of Family Office and Asset Management technology.

Job DescriptionAbout Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society.Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on . About The Job Mistral AI is seeking an Applied AI Engineer focused on DevOps to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges. Applied AI Engineers, ML Infra at Mistral AI work directly with customers to quickly understand their greatest challenges and design and implement AI solutions. In this role, you’ll apply your problem-solving ability, creativity, and technical skills to help organizations use AI to drive real impact in the world. You’ll have the opportunity to gain rare insight into and contribute to some of the most important industries and institutions globally! Applied AI Engineers, ML Infra responsibilities look similar to those of a startup CTO: you’ll work in small teams and own end-to-end execution of high-stakes projects. A day might span discussing architecture with fellow engineers, wrangling massive-scale data, coding a custom web app, speaking with customer executives, or establishing a strategy for the Applied Engineering team. What you will do • Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Technical Product Manager• Familiarity with AI frameworks such as PyTorch or TensorFlow• Contributions to open-source projects, particularly in the space of DevOps or AI Benefits \uD83D\uDCB0 Competitive salary and bonus structure \uD83D\uDE80 Generous Equity\uD83E\uDDD1️‍⚕️ Health : Competitive Healthcare program \uD83D\uDC74\uD83C\uDFFB Pension : 401K (6% matching)\uD83C\uDFDD️ PTO : 18 days \uD83D\uDE97 Transportation: Reimburse office parking charges, or $120/month for public transport\uD83E\uDD1D Coaching: we offer Betterup coaching on a voluntary basis\uD83C\uDFC0 Sport: $120/month reimbursement for gym membership\uD83E\uDD55 Meal stipend: $400 monthly allowance for meals (solution might evolve as we grow bigger)\uD83C\uDF0E Visa sponsorship

Job Description Maven is the world's largest virtual clinic for women and families on a mission to make healthcare work for all of us. Maven's award-winning digital programs provide clinical, emotional, and financial support all in one platform, spanning fertility & family building, maternity & newborn care, parenting & pediatrics, and menopause & midlife. More than 2,000 employers and health plans trust Maven's end-to-end platform to improve clinical outcomes, reduce healthcare costs, and provide equity in benefits programs. Recognized for innovation and industry leadership, Maven has been named to the Time 100 Most Influential Companies, CNBC Disruptor 50, Fast Company Most Innovative Companies, and FORTUNE Best Places to Work. Founded in 2014 by CEO Kate Ryder, Maven has raised more than $425 million in funding from top healthcare and technology investors including General Catalyst, Sequoia, Dragoneer Investment Group, Oak HC/FT, StepStone Group, Icon Ventures, and Lux Capital. To learn more about Maven, visit us at mavenclinic.com. An award-winning culture working towards an important mission – Maven Clinic is a recipient of over 30 workplace and innovation awards, including: • Fortune Change the World (2024), • CNBC Disruptor 50 List (2022, 2023, 2024), • Fortune Best Workplaces for Millennials (2024), • Fortune Best Workplaces in Health Care (2024), • TIME 100 Most Influential Companies (2023), • Fast Company Most Innovative Companies (2020, 2023), • Built In Best Places to Work (2023), • Fortune Best Workplaces NY (2020, 2021, 2022, 2023, 2024), • Great Place to Work certified (2020, 2021, 2022, 2023, 2024), • Fast Company Best Workplaces for Innovators (2022), • Built In LGBTQIA+ Advocacy Award (2022)What You'll DoSecurity Platform Engineering, • Design and implement scalable infrastructure supporting HIPAA, SOC 2, and ISO 27001 compliance, • Build and maintain systems for identity, authentication, and access management (Okta / GCP IAM / Auth0/ OPA), • Implement observability and anomaly detection across microservices, data stores, and SaaS platforms, • Establish Zero Trust principles and enforce least-privilege access company-wide, • Develop compliance observability dashboards and automated evidence collectionSecurity Automation & Tooling, • Create self-service security tools that integrate with developer workflows (GitLab CI/CD, Terraform), • Automate onboarding/offboarding, access reviews, and approvals, • Integrate software-supply-chain security (SBOM, dependency scanning), • Develop or adopt AI-assisted security tooling to proactively identify risks, • Automate policy enforcement, SAST/DAST scans, and compliance verificationApplication & Data Security, • Lead threat modeling and security architecture reviews for new products and services, • Partner with product and data teams to embed secure-by-default design patterns, • Ensure encryption, access tracking, and secure data handling across PHI workflows, • Contribute to incident response, post-mortems, and continual improvement of security postureLeadership & Collaboration, • Act as Maven's technical authority for security engineering, • Mentor peers and promote secure coding and architecture practices, • Partner cross-functionally (Engineering, Compliance, Clinical, Legal) to align on security strategy, • Champion an engineering culture of transparency, accountability, and continuous improvementWhat You'll BringRequired, • 8+ years of software engineering experience, including 3+ in security infrastructure or application security, • Proven ability to design and implement large-scale, distributed, cloud-native systems, • Strong coding proficiency in Python, TypeScript, Go and/or Rust, • Deep understanding of cloud security (GCP preferred; AWS/Azure welcome), • Experience with Kubernetes, containers, and infrastructure-as-code (Terraform), • Familiarity with security testing frameworks and secure SDLC principles, • Excellent communication and documentation skillsPreferred, • Expertise in Zero Trust architectures, authentication/authorization frameworks, and data-loss prevention, • Experience with security compliance automation (SOC 2, ISO 27001, PCI-DSS, NIST), • Background in data security telemetry and threat detection, • Familiarity with AI/ML security and AI-assisted analysis tools, • Exposure to supply-chain security and CI/CD pipeline hardening, • Certifications (CISSP, GCP Professional Cloud Security Engineer, OSCP) a plusWhat Makes You a Great Fit, • You take a pragmatic, automation-first approach to solving security problems, • You balance rigor with velocity, enabling teams to move quickly without compromising trust, • You communicate clearly with both technical and non-technical stakeholders, • You're curious, adaptable, and eager to lead initiatives from concept to production, • You care deeply about our mission—building safer, smarter healthcare for women and families The base salary range for this role is $221,000 - $260,000 per year. You will also be entitled to receive equity and benefits. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, and skillset. Maven embraces a flexible hybrid work model. Our teams primarily operate from the New York Metropolitan area, NY, and remotely via San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C. For those in our New York City office, we encourage in-person collaboration by requiring team members to work onsite three days a week (Tuesday, Wednesday, Thursday). For those based in San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C., we encourage in-person collaboration by requiring team members to attend quarterly Work Together Days within these cities. This policy aims to balance remote work flexibility with the benefits of face-to-face interaction. At Maven we believe that a diverse set of backgrounds and experiences enrich our teams and allow us to achieve above and beyond our goals. If you do not have experience in all of the areas detailed above, we hope that you will share your unique background with us in your application and how it can be additive to our teams. Benefits That Work For You Our benefits are designed to support your health, well-being and career development, helping you thrive both personally and professionally. We remain focused on providing a competitive benefits package for our employees. On top of standards such as employer-covered health, dental, and insurance plan options, we offer an inclusive approach to benefits: • Maven for Mavens: access to the full platform and specialists, including care for mental health, reproductive health, family planning and pediatrics., • Whole-self care through wellness partnerships, • Hybrid work, in office meals, and work together days, • 16 weeks 100% paid parental leave and new parent stipend (for Mavens who've been with us for 1 year+), • Annual professional development stipend and access to a personal career coach through Maven for Mavens Maven is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Maven is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Maven Clinic interview requests and job offers only originate from an @mavenclinic.com email address (e.g ). Maven Clinic will never ask for sensitive information to be delivered over email or phone. If you receive a scam issue or a security issue involving Maven Clinic please notify us at: . For general and additional inquiries, please contact us at .

Responsibilities: Analyze and develop the ingestion pipeline of data sources for the Cybersecurity Data Lakehouse (CyberDW) Design and build data solutions using Microsoft Azure technologies Develop data pipelines and implement data lakes Ensure data security and compliance Act as a technical liaiso

Expert level understanding of Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, and Azure App Service. Manage and optimize data storage using Azure Data Lake Storage, Azure SQL Data Warehouse, and Azure Cosmos DB. Design and implement scalable and secure data processing pipelines using

Collaborate closely with ML engineers and data scientists to understand their infrastructure needs and provide solutions. The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence (AI

DevOps, Site Reliability Engineering (SRE), or Infrastructure Engineering role. Prometheus, Grafana, ELK Stack, Datadog). Experience with Oracle databases.

Strong experience with data modeling, data access, and data storage techniques. Design, develop, and implement end-to-end cloud-based machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation). Develop

Role: Solution Architect Division: Enterprise Solutions Development Division (ESDD) Location: Sacramento, CA Contract Duration: 2 years (July 2026 – June 2028) Work Mode: Hybrid – 3 days onsite per week Submission: Maximum 2 candidate per vendor ( 3 Position available) Interview: In-person / tea

Experience with cloud engineering, on-premise engineering, virtualization, or containerization platforms. Experience selling technical solutions in one or more of the following: Infrastructure Modernization, Application Modernization, Data Management, Data Analytics, Cloud AI, Networking, Migrations

Perform data migration, mass imports, and exports (CSV). Data migration and integration.

Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies. Formal training or certification on software engineering concepts and 7+ years applied experience.

Insight Global is looking for a Google Cloud Engineer to join one of our largest financial clients in Jersey City, NJ or Pittsburgh, PA. They will be joining the Technology Services Group on the Public Cloud Engineering team. Each cloud platform is at a different stage of being set up into the envir

Cloud-to-On-Prem Resiliency Engineering - ensuring performant, redundant, monitored connectivity between public cloud and Bloomberg's global private network. Partner with on-prem networking and cross-functional engineering groups to align global connectivity strategies. SRE, or production engineerin

CTG is seeking a Senior Cloud Desktop Engineer to support the global migration from legacy VDI to modern cloud desktop environments. Design, implement, and optimize cloud desktop solutions (Azure Virtual Desktop, Citrix, or similar). Microsoft Azure Virtual Desktop Specialty or Citrix certifications

Description We are looking for a skilled Infrastructure & Cloud Engineer to oversee the design and management of our organization's cloud and IT systems. The ideal candidate will bring extensive knowledge of Microsoft technologies, including Azure and Microsoft 365, with a focus on supporting a miss

Design and secure cloud/platform architectures (AWS, Azure, GCP). Mentor junior engineers and provide technical guidance. CTG's client is seeking a Cloud & Platform Security Engineer to design, implement, and maintain secure cloud and platform solutions, ensuring alignment with security policies, co

Collaborate with a diverse team of professionals, including data scientists, data engineers, and business analysts, to deliver high-quality data solutions. Lead the design and implementation of data engineering solutions using Databricks, AWS, and other relevant technologies. Stay updated with the l

Join our dynamic technology team as a Site Reliability Engineer (SRE) or Platform Engineer, where you'll play a central role in building, automating, and maintaining our modern infrastructure across both on-premise and cloud environments. Bachelor's degree in Computer Science, Engineering, or a rela

Master's degree in Computer Science, Engineering, Mathematics, a technical field, or equivalent practical experience. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products. As a Customer Engineer (CE)

You have a minimum of 3 years of strong hands-on experience with Microsoft Azure, including:o VNETs, subnets, NSGs, routing tables, private endpointso Azure AD, RBAC, Key Vault, Defender for CloudProven experience with hybrid connectivity architectures, including:o Azure ExpressRouteo OCI FastConnec

As a Senior Lead Software Engineer at JPMorgan Chase within the Commercial and Investment Banking's Equities Electronic Trading team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way.

Customer Engineer, Cloud AI, Financial Services. Master's degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhanceme

Experience supporting the design and implementation of integration architectures connecting pricing platforms with ERP systems (SAP, Oracle), CRM applications (Salesforce, Microsoft Dynamics), and cloud data platforms (AWS, Azure, GCP). Basic understanding of ERP and CRM integration, and modern data

Good knowledge of SQL programming preferably with databases such as Oracle Exadata. The team will be subject to multiple critical regulations and also going through a Technology Transformation Journey to build and adopt General capabilities for Data Ingestion, Rules Authoring Execution, and Analytic

What is the Solutions Consulting & Engineering Team and why join?. Solutions Consulting & Engineering is an organization that is customer-focused and solutions-led. Our world-class management consulting, delivery excellence, and engineering brilliance enable our success.

AWS Certified Security - Specialty and/or Microsoft Certified: Azure Security Engineer Associate or similar). This role involves close collaboration with IT, Cloud Engineering & Operations, Network Operations and Data Science Center teams, acting as a technical lead and primary contact for cloud sec

This role involves analyzing legacy SAS workflows, designing corresponding Oracle data-processing logic, and ensuring the efficient and accurate migration of complex business processes to the Oracle platform. Utilize Python as needed for automation, data processing, or migration tasks.

T-SQL(strong be strong on T-SQL and ETL ) , Sybase, Batch Development, Java Programming(should be strong on java ), Python Scripting, Pyspark , Databricks(should be strong Databricks). BS in computer science or engineering degree or a related field or equivalent work experience required. Experience

Import data from external sources (MS Excel, txt, csv) and import data through. Tier 3 Members - Loan Processing MS Access Database - 23REQ0162 5. Store member identifying data and loan information.

Migrate and synchronize data between on-premise legacy systems and vendor-hosted cloud databases using APIs. This role is responsible for managing SQL Server databases, stored procedures, jobs, analytics, and reports, as well as developing. Develop and consume APIs to support system integration and

The project is currently in the process of moving from a bank proprietary database to a new Oracle Exadata rack. FRD is looking to re-configure an upstream data source into a new strategic platform and onboard more users.

Solid understanding of relational data modeling and database design principles. Bachelor's degree in Computer Science, Engineering, or equivalent professional experience. Proven experience developing and supporting complex PL/SQL-based data solutions.

DevOps Engineer, DevSecOps Engineer, Software Engineer with a strong focus on CI/CD, or a similar role. Jenkins, GitLab CI, GitHub Actions, Azure DevOps). Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and government

A leading technology firm in San Francisco is looking for a Site Reliability Engineer to design and manage scalable infrastructure solutions.

As a key technical leader, you will influence best practices, mentor engineers, and contribute to the continuous evolution of the company’s cloud engineering strategy. Job Summary The Senior DevOps Engineer on the Cloud Engineering team will be responsible for designing, automating, and optimizing

A leading technology company is seeking a Cloud Solutions Network Engineer to develop scalable cloud network solutions and lead cross-functional teams.

A leading tech solutions firm based in Mexico is looking for a Senior DevOps Engineer to optimize and automate cloud infrastructure.

AWS Certified Solutions Engineer, CCSK, TOGAF, SOA, and ITIL Demonstrated experience in working with cloud-based technologies (Amazon Web Services & Azure) in an enterprise computing environment. Engineer, design, and implementation of highly scalable, highly available infrastructure, solutions and

Utilize SQL to query and manipulate large datasets, ensuring data accuracy and integrity, with an emphasis on fixed income data structures. Collaborate with data engineers to streamline and enhance data pipelines, particularly those handling fixed income securities. Build and optimize calculation en

Cloud Platforms: 5+ years of experience with Microsoft Azure, including deep knowledge of Azure services (Azure SQL, Cosmos DB, Azure Data Factory, Synapse, Databricks, Data Lake, Machine Learning, etc. Data Engineering: Knowledge of data pipeline orchestration tools (Databricks, Azure Data Factory)

Minimum 4 years of experience with data structures, data manipulation, database design, programming, testing, and implementation. Develop specifications for databases, communication systems, hardware, network, security, storage, and software configurations. Create structured diagrams for databases,