Devops engineer jobs in Moraga, CA

Contact: ****************************** About Us We are collaborating with our client, an innovative fintech startup headquartered in the Bay Area, which focuses on delivering real-time card data primarily aimed at B2B software firms. Established as a spin-out in early 2024 and launching their product by the summer of that year, this organization is at a pivotal growth juncture, experiencing an expanding customer base and ambitious future initiatives. With the support of notable investors including Nica Partners, QED Investors, RBC, and Visa, this organization is championing advancements in card issuance technology. Their team of 20 passionate professionals is seeking exceptional engineers to aid in scaling their operations. Job Description We are assisting this organization in their search for a Senior DevOps Engineer (L1+), tasked with steering the evolution of their infrastructure and serverless architecture. Operating primarily within an AWS framework and extensively utilizing Lambda, the ideal candidate will spearhead serverless migrations while upholding the stringent security protocols essential for the fintech and payments domain, particularly regarding PCI compliance. Key Responsibilities Design and implement serverless infrastructure using AWS Lambda and associated services. Lead the serverless migration process and help define the infrastructure roadmap. Ensure compliance with PCI standards and establish security best practices throughout the infrastructure. Manage and optimize SQL-based databases hosted on AWS. Collaborate with teams to advance the organization's Kubernetes capabilities as they grow their microservices architecture. Work collaboratively with engineering teams to enhance deployment pipelines and improve the developer experience. Engage in a hybrid work model, requiring in-office presence on Tuesdays, Wednesdays, and Thursdays. Requirements Required: A minimum of senior-level (L1+) experience in DevOps or Infrastructure engineering. In-depth knowledge of AWS, particularly Lambda and serverless architectures. A strong background in security practices, especially regarding PCI compliance for infrastructure. Experience with SQL-based database management. Familiarity with the fintech or payments industry is essential. Knowledge of the card issuance sector and experience with payment networks, ideally including Mastercard. Startup experience with a proven ability to deliver quick and effective solutions. A willingness to relocate to or already residing in the Bay Area. Preferred: Experience with Kubernetes. Expertise in microservices architecture. Prior experience at organizations such as Marqeta, Plaid, Ramp, or Brex. Experience working with payment networks. Benefits A competitive compensation package comprising both salary and equity, ensuring alignment with the best talent available. A 4% matching contribution for the 401(k) plan. Comprehensive medical and dental insurance managed through Rippling. Regular off-site events throughout the year in diverse locations across the US and Europe, including frequent trips to California and New York. Exclusive company merchandise. A hybrid work structure requiring three days of on-site work.

We are seeking a Senior DevOps Build Engineer with experience in designing, building, and maintaining secure, automated CI/CD pipelines for cloud based applications. The ideal candidate is a cloud savvy AWS expert with strong DevOps experience and good understanding of infrastructure-as-code, containerization and security scanning. In this role, you will collaborate across multiple teams including development, infrastructure, security and networking to deliver reliable, secure and scalable cloud solutions. You will also provide leadership in DevOps best practices, CI/CD automation, and secure architecture design. Responsibilities: Design, build, and optimize automated CI/CD pipelines and integrate SAST, DAST, OSS, and container security scans. Provide DevOps architectural leadership, mentorship, and best-practice guidance across teams. Lead standardization of DevOps pipeline frameworks and secure development patterns. Implement automated deployment, infrastructure, and build/release workflows. Own technical implementation for assigned development initiatives and ensure alignment with internal engineering standards. Partner closely with architecture, security, and engineering stakeholders to ensure secure and compliant build practices. Maintain platform security aligned with organizational Information Security policies. Anticipate risks and proactively propose solutions related to enterprise platform scaling and cloud adoption. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or equivalent work experience. At least 7 years of AWS experience delivering solutions in a DevOps or architecture role Hands on background designing, implementing, and supporting complex multi environment platforms. Proven experience building and supporting DevOps infrastructure, CI/CD pipelines, and automation. Strong experience configuring GitLab and artifact repositories such as Nexus. Experience preparing vulnerability reports using tools such as Fortify, SonarQube, NexusIQ, and GitLab native scans (Semgrep, Gymnasium). Experience configuring Checkov and KICS for IaC scanning. Containerization experience using Docker and AWS cloud services (CloudWatch, ECS, EKS, Lambda, Fargate, EC2.) Secrets management experience using AWS Secrets Manager, AWS SSM Parameter Store, and/or Vault. Advanced scripting experience using Python, Shell, Groovy, YAML/JSON. Experience with major IDEs using Visual Studio, IntelliJ, Eclipse. Strong experience integrating build tools and technologies across C++, Java, JavaScript, and .NET application stacks. Strong Linux and Windows OS experience. Knowledge working within Agile project environments and using tools such as Jira and VersionOne.

You'll play a key role in optimizing deployment pipelines, improving system reliability, and ensuring the scalability of our network and infrastructure. Key Responsibilities: Design, implement, and manage CI/CD pipelines for rapid and reliable code deployment. Automate infrastructure setup and maintenance using tools like Terraform, Ansible, or Docker. Monitor system performance, identify issues, and optimize infrastructure for high availability. Collaborate with development teams to improve deployment workflows and ensure smooth integration between environments. Manage cloud infrastructure (e.g., AWS, GCP, Azure) and on-premise nodes or validators if required. Requirements: Proven experience as a DevOps Engineer, Site Reliability Engineer, or similar role. Strong knowledge of CI/CD tools (e.g., GitHub Actions, Jenkins, CircleCI). Proficiency with containerization and orchestration (Docker, Kubernetes). Experience with cloud platforms (AWS, GCP, or Azure). Familiarity with infrastructure-as-code tools (Terraform, Ansible, CloudFormation).

Role : Staff DevOps Engineer (Dev Experience) “Must be legally authorized to work in US without need for employer sponsorship now or at any time in the future. Job Responsibilities As a Staff Platform Engineer specializing in Developer Experience, you'll be a technical leader and advocate for our internal engineering customers. You will leverage your deep expertise in cloud infrastructure, software development best practices, and developer tooling to drive significant improvements across the entire software development lifecycle - from code creation and testing to deployment and production monitoring. This role requires a strong blend of technical excellence, empathy for the developer workflow, and the ability to influence technical direction across multiple teams. Define the technical vision and roadmap for our core developer platform, with a strong focus on self-service tooling, continuous integration/continuous delivery (CI/CD), and standardized development environments. Architect and implement scalable, reliable platform services and tools (e.g., internal CLI tools, custom GitHub Actions/GitLab CI pipelines, scaffolding tools, testing frameworks) that dramatically improve developer productivity. Partner with engineering teams to understand their pain points and drive the adoption of new platform features and best practices through excellent documentation, training, and direct consultation. Establish technical standards and governance models for critical areas like observability, security integration, and infrastructure-as-code (IaC). Act as a technical mentor for mid-level and senior engineers, fostering a culture of operational excellence and high-quality engineering. Proactively identify systemic bottlenecks and performance issues in the development and deployment process and lead the initiative to resolve them. Required Qualifications 8+ years of professional experience in software engineering, or platform engineering, with at least 2+ years in a leadership or staff-level capacity, driving cross-team technical initiatives. Deep expertise in designing, implementing, and maintaining CI/CD pipelines using GitHub Actions. Strong proficiency in AWS and hands-on experience with containerization technologies like Docker and orchestration with Kubernetes. Expertise in Infrastructure-as-Code (IaC) tools such as Terraform and/or Terragrunt. Advanced programming skills in a general-purpose language used for tooling and platform services (Go, Python, or TypeScript preferred). Experience building internal developer portals or highly effective self-service developer tools. Prior experience specifically focused on improving Developer Experience (DevEx) or internal tooling. Excellent communication and interpersonal skills, with a proven ability to present complex technical ideas to diverse audiences and influence technical decisions. Nice-to-Have Experience implementing monorepo and IDP using Backstage. A strong background in observability tools (e.g., Prometheus, Grafana, Datadog, OpenTelemetry). Experience with Service Mesh technologies (e.g., Istio, Linkerd). Contributions to open-source developer tools or platform technologies. Note: SibiTalent Corp. is an equal opportunity staffing firm. We do not discriminate on the basis of race, caste, color, religion, gender, culture, visa status, or any other protected characteristic. All hiring decisions are made strictly based on qualifications, experience, and specific client requirements.

Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite empowers imagination with intelligence. And that it will be such Fractalites that will continue to build the company for the next 100 years. Please visit Fractal | Intelligence for Imagination for more information about Fractal. Job Responsibilities: Lead and build DevOps capability for Azure services. Planning, design and development of Azure Infra based architecture and solutions. Working closely with client and delivering outcomes per the SoW and SLA Architect, design, develop, deploy and document new systems or maintain existing systems on Cloud Platforms based on specifications. Collaborate with, provide continuous guidance to, and influence design decisions of various Agile development teams for various existing and new products and solutions w.r.t. Cloud enablement, migration and infrastructure needs, to adopt and promote Cloud best practices, and economies of scale. Engage customers understand their use cases and operational needs, as well as engage with Cloud Platform vendors to understand their technology roadmaps and evolution and translate to comprehensive technology guidance for various product teams. Design for Cloud security and compliance ensure solutions and operations reliability. Drive and conduct audits on current cloud utilization and recommend cloud optimization and security changes. Act as a mentor and technical consultant for the various teams. Desired/Preferred Skills: Well versed with IaaS and PaaS services of Azure Strong understanding and implementation of DevSecOps Framework. Understand the technical, financial and organizational requirements and constraints of enterprise customers and work closely with multiple teams to lead cloud enabled solutions Demonstrate ability to architect enterprise ready secure and scalable solution in cloud optimized for cost. Hands on experience with container technologies (Docker, Kubernetes, OCI, etc.) and microservices architecture. Hands on experience with Unix and Linux based systems, shell scripting Effectively communicate the target state architecture topology on cloud to clients Solid understanding of design principles for resilient, scalable, high-performing distributed applications Experience with automation, orchestration, CI/CD tools like Jenkins, GitHub Actions, Azure DevOps and other tools. Have integrated code quality and security tools in CICD. Worked with build and release to Azure services like Azure WebApp, Logic App, Data Factory, Databricks and other services. Ability to work on multiple projects, collaborate effectively with multiple teams and be flexible to adapt to changing requirements. Have worked with external client, managed client expectation and delivery Good understanding of Infrastructure as a Code script like Terraform, ARM, Pulumi or others Experience in programming languages like Python, Bash, Perl, VBScript, GoLang, will be an added advantage. Monitoring and Logging tools knowledge/experience like Azure Monitor, App Insight and Log Analytics, Prometheus, Grafana and Fluentbit will be added advantage. Years of Experience: 6 to 7 years experience 5+ years of experience in DevOps Education Qualification: B.E / B.Tech, BCA, MCA equivalent Cloud DevOps certification - Azure DevOps, Azure Architect Pay: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $131,000 - $159,000. In addition, you may be eligible for a discretionary bonus for the current performance period. Benefits: As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take time needed for either sick time or vacation. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Fractal Doesn't offer any sponsorship at this time.

A pioneering and well-funded AI company is seeking a talented Python Backend Engineer to build the core infrastructure for its revolutionary autonomous systems. This is a unique opportunity to join an innovative team at the forefront of engineering and artificial intelligence, creating a new category of software that will redefine how complex products in sectors like aerospace, automotive, and advanced manufacturing are designed and developed. Why Join? Build the Future of Engineering: This isn't just another backend role. Your work will directly shape how next-generation rockets, cars, and aircraft are designed, fundamentally changing the engineering landscape. Solve Unprecedented Technical Puzzles: Tackle unique challenges in building the infrastructure for autonomous AI agents, including simulation orchestration, multi-agent coordination, and scalable model serving. Shape a Foundational Platform: As a critical member of a pioneering team, you will have a significant impact on the technical direction and core architecture of an entirely new category of software. Join a High-Impact Team: Work in a collaborative, fast-paced environment where your expertise is valued, and you have end-to-end ownership of critical systems. Compensation & Location: Base salary of up to $210,000 + equity + benefits, while working on-site with the team in a modern office in downtown San Francisco. The Role As a Python Backend Engineer, you will be instrumental in constructing the infrastructure that underpins these autonomous engineering agents. Your responsibilities will span model serving, simulation orchestration, multi-agent coordination, and the development of robust, developer-facing APIs. This position is critical for delivering the fast, reliable, and scalable systems that professional engineers will trust and depend on in high-stakes production environments. You will: Own and build the core backend infrastructure for the autonomous AI agents, focusing on scalability, model serving, and multi-agent orchestration. Design and maintain robust APIs while integrating essential third-party tools like CAD software and simulation backends into the core platform. Develop backend services to process and serve complex 3D visualizations from simulation and geometric data. Collaborate across ML, frontend, and simulation teams to shape the product and engage directly with early customers to drive infrastructure needs. Make foundational architectural decisions that will define the technical future and scalability of the entire platform. The Essential Requirements Strong backend software engineering experience, with a primary focus on Python. Proven experience in designing, building, and maintaining production-level APIs (FastAPI preferred but Flask and Django also considered). Experience with 3D visualization libraries or tools such as PyVista, ParaView, or VTK. Excellent systems-thinking skills and the ability to reason about the interactions between compute, data, and models. Experience working in fast-paced environments where end-to-end ownership and proactivity are essential. Exceptional communication and collaboration abilities. What Will Make You Stand Out Experience integrating with scientific or engineering software (such as CAD, FEA, or CFD tools). Exposure to agent frameworks, workflow orchestration engines, or distributed systems. Familiarity with model serving frameworks (e.g., TorchServe, Triton) or simulation backends. Previous experience building developer-focused tools or working in high-trust, customer-facing technical roles. If you are interested in this role, please apply with your resume through this site. SEO Keywords for Search Python Backend Engineer, Python Software Engineer, Backend Engineer, Software Engineer, Python Developer, AI Engineer, Machine Learning Infrastructure, MLOps Engineer, Backend Software Engineer (Python), Senior Backend Engineer, AI/ML Engineer, Infrastructure Engineer, FastAPI Developer, PyVista, ParaView, VTK, 3D Visualization, Docker, Kubernetes, Cloud Engineer, AI Platform Engineer, Distributed Systems Engineer, Simulation Software Engineer, CAD Integration, CFD, FEA, Scientific Computing, High-Performance Computing (HPC), Agent Frameworks, Workflow Orchestration, Technical Lead, Staff Engineer. Disclaimer Attis Global Ltd is an equal opportunities employer. No terminology in this advert is intended to discriminate on any of the grounds protected by law, and all qualified applicants will receive consideration for employment without regard to age, sex, race, national origin, religion or belief, disability, pregnancy and maternity, marital status, political affiliation, socio-economic status, sexual orientation, gender, gender identity and expression, and/or gender reassignment. M/F/D/V. We operate as a staffing agency and employment business. More information can be found at attisglobal.com.

We are actively searching for a Founding Protocol Engineer to join our team on a permanent basis. In this position you will If you are someone that is impressed with what Hyperliquid has accomplished then this role is for you. We are on a mission to build next generation lending and debt protocols. We are open to both Senior level and Architect level candidates for this role. Your Rhythm: Drive the architecture, technical design, and implementation of our lending protocol. Collaborate closely with researchers to validate and test designs Collaborate with auditors and security engineers to ensure safety of the protocol Participate in code reviews, providing constructive feedback and ensuring adherence to established coding standards and best practices Your Vibe: 5+ years of professional software Engineering experience 3+ years of experience working in Solidity in EVM in production environments, specifically focused in DeFi products 2+ years of experience working with a modern backend languages (Go, Rust, Python, etc) in distributed architectures Experience building lending protocols in a smart contract language Open to collaborating onsite a few days a week at our downtown SF office Our Vibe: Relaxed work environment 100% paid top of the line health care benefits Full ownership, no micro management Strong equity package 401K Unlimited vacation An actual work/life balance, we aren't trying to run you into the ground. We have families and enjoy life too!

Software Engineer (Post Training) - San Francisco, CA A company building frontier-scale AI models that automate software engineering and AI research, combining ultra-long context, domain-specific RL, and massive compute infrastructure are looking for a Software Engineer (Post Training) to join their team. What Will I Be Doing: Build and maintain robust, high-performance data pipelines to support large-scale post-training workflows Partner closely with research and applied teams to design strategies for sourcing diverse, targeted datasets at scale Develop creative approaches to generating high-quality synthetic data for model improvement Iterate on dataset filtering, scoring and quality heuristics to improve post-training outcomes Implement, test and operate data infrastructure supporting workloads from gigabytes to hundreds of petabytes What We're Looking For: Exceptional attention to detail and a strong commitment to data quality Ability to write reliable, well-tested production code Comfort learning new tools, languages and frameworks as needed End-to-end experience across data pipelines, from scraping and ingestion through processing and validation High intellectual agility, curiosity and grit to tackle complex, ambiguous problems What's In It for Me: Salary of $225K-$550K dependent on experience + significant equity Great benefits inc. 401(k) with 6% company match, comprehensive health, unlimited PTO Visa sponsorship and SF relocation stipend available Well-funded ($465M+) with backing from top investors Apply now for immediate consideration!

Mission and Impact: VIVIO Health, a Public Benefit Corporation, is revolutionizing pharmacy benefits management through data and technology. Our foundational principle - "The Right Drug for the Right Person at the Right Price" - drives everything we do. Since 2016, our evidence-based approach has delivered superior health outcomes while reducing costs for self-insured employers and health plans. By ensuring each patient receives the most appropriate medication for their specific condition at a fair market price, we're replacing the obsolete PBM Model with innovative solutions that work better for everyone. Why Join VIVIO? Innovation: Challenge the status quo and shape healthcare's future Impact: Directly influence patient care and help change healthcare delivery Collaboration: Work with passionate teammates dedicated to making a difference Culture: Enjoy autonomy and reliability in a micromanagement-free environment Growth: Expand your opportunities as we expand our business Job Description Position Overview We are seeking an exceptional developer with robust Python skills to join our team. You will play a crucial role in building complex business operations logic. You should have a proven track record of building high-quality software, solving complex problems, and thriving in collaborative environments. Experience in regulated cloud environments like HIPAA or PCI is a plus. We expect a self-motivated individual who thrives in a collaborative environment and shares our commitment to enhancing the cost and quality of healthcare. If you're ready to make an impact, we want to hear from you! Location: Hayward, CA. This is a Hybrid role with a minimum of 3 in-office days. Technical Stack: Languages: Python, PHP Databases: MySQL Infrastructure: AWS or other Cloud experience, CICD Core Responsibilities: Design and develop scalable services and core libraries. Develop batch processing jobs for data imports, reporting, and external integrations. Build and maintain transaction processing systems with complex business rules. Integrate third-party APIs and normalize data across multiple healthcare providers. Implement HIPAA-compliant data handling, logging, and audit systems Write comprehensive tests with proper mocking and maintain CI/CD pipelines. Foster best practices in a lean startup setting through code reviews. Promote knowledge sharing to build a collaborative culture. Optimize architectures and designs through deep understanding of business processes Ensure operational excellence through monitoring, documentation, and deployment automation. Qualifications Required Qualifications: 5+ years of development experience with production systems BS or advanced degree in an engineering discipline or equivalent experience SQL database design and optimization Test-driven development and mocking strategies Experience with data processing Preferred Qualifications: REST API design and integration experience FastAPI or similar framework experience CRM customization experience ETL pipelines and Batch processing systems experience Job orchestration frameworks experience File-based and distributed storage systems Healthcare/pharmacy technology background Strong understanding of building software in regulated environments & security standards such as PCI DSS, ISO 27001, HIPAA, and NIST. Other expectations: Hybrid work arrangement with work from office 3 days a week. Additional Information Compensation and Benefits: Base Salary: $120-$140K/year Bonus Eligible Health benefits, including Medical, Pharmacy, Dental, Vision, and Life insurance Stock Options 401K and company match PTO Opportunity to work for a growing and innovative company. Dynamic and collaborative work environment. The chance to make a real impact with a Public Benefit Corporation. VIVIO Health is an Equal Opportunity Employer. All information will be kept confidential according to EEO guidelines. Please be advised that job opportunities will only be extended after a candidate submits a completed job application and goes through our interview process, including 1:1 and/or group interviews via phone, video conferencing, and/or in-person. All legitimate correspondence from a VIVIO employee will come from our Smart Recruiter Applicant Tracking System "@smartrecruiter.com" or "@viviohealth.com" email accounts.

As a software engineer at General Medicine, you'll help build and scale a healthcare store that makes it delightfully simple to shop for any type of care. We provide upfront cash and insurance prices for virtual and in-person visits, prescriptions, labs, imaging, and more. What we're looking for We're looking for strong engineers to help us build a seamless and beautiful consumer healthcare product. We're looking for folks who will obsess over every detail of our patient experience, and also tackle the complex operational challenges of delivering care at scale. We are looking for engineers who care deeply about technical excellence but are also comfortable moving quickly - we are constantly navigating tradeoffs between engineering velocity and quality. Our ideal candidate is hungry, high-agency, and aspires to be a generalist. Our engineers frequently write product requirements documents, write SQL to understand how features are performing, and own QA - no task is beneath us or outside of the scope of the role if it helps us to deliver a great product. We're looking for someone who can operate in an environment of significant ambiguity, and who is comfortable working closely with design, operations, and clinical stakeholders. We don't expect you to have a healthcare background (though it's great if you do!). However, you should be excited by the prospect of digging into the messy complexities of the American healthcare system (integrating with EHRs, revenue cycle management, etc). Qualifications 2+ years of experience building web apps as a full-stack engineer Experience with modern infra tooling and programming languages. We currently use AWS, Ruby on Rails, and NextJS, and would expect you to have proficiency in a modern tech stack even if it isn't the one we are using. Please note that this role is based in either our SF office (near Market and Spear St) or our Boston office (Central Square, Cambridge). We expect our team to work from the office least 3 days per week. Why join us We're an experienced team that has built a company in this space before, our product has clear product-market fit, and we've raised money from top investors. We have an ambitious and distinctive vision for what can be built in consumer healthcare. We believe LLMs and price transparency legislation have opened up several massive opportunities. If you're an ambitious and entrepreneurial software engineer and this resonates, please apply.

Subtle Medical is a leading provider of AI-powered imaging solutions, optimizing scan efficiency and image quality across radiology. Recognized by TIME as a World's Top Healthcare Company (2025) and multiple times as a CB Insights GenAI 50, Digital Health 150, and Top AI 100 company, Subtle Medical is committed to transforming medical imaging through responsible and intelligent software. The company's solutions are deployed on over 1000 scanners worldwide, helping imaging centers and hospitals deliver faster scans, improve image quality, and enhance patient care without the need for new hardware. The Role The Machine Learning Software Engineer role at Subtle Medical will join our growing AI team, working at the intersection of applied machine learning, infrastructure, and product innovation. Subtle Medical is the world leader in applying deep learning to the acquisition of medical images in order to enable faster, safer, and smarter medical imaging. We are committed to transforming the healthcare ecosystem by building and delivering responsible AI solutions that create a measurable impact on the radiology workflow and patient experience. Our vision is that every human being has the opportunity for a timely diagnosis, high-quality care, and a longer, healthier life. Currently, Subtle Medical has several FDA-cleared & CE-marked AI software products that are in clinical usage in over 900 hospitals and imaging centers worldwide. Subtle has a robust multi modality product portfolio and continues to invest heavily in research and development. Our team consists of world leading radiologists, scientists and engineers from top universities like Stanford, Harvard, and MIT many with past experience at leading equipment manufacturers like GE, Philips and Siemens. Subtle Medical has been recognized multiple times by CB Insights as a global Top 100 AI Company and Top 150 Digital Health Company. We continue to grow and expand and welcome those to apply who desire to empower patients and physicians with better healthcare. Subtle Medical is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Job Responsibilities Build software systems that enable AI-powered image enhancement and analysis algorithms in the clinical workflow Write computer code to set up deep learning network architecture Support and participate in applicable Quality Management System (QMS) processes for Subtle Medical AI/ML Software as a Medical Device (SaMD) products. Feed imaging data into this model for training and evaluating the results on a separate test set Participate in applicable data protection related activities, such as audits, investigations, and training, and comply with all applicable company policies and procedures. Deploy and maintain our software systems both on the cloud and at work sites Build and maintain CI/CD tools for our softwares Complete models and simulations, using manual or automated tools, to analyze or predict system performance under different operating conditions Monitor system operation to detect potential problems Identify system data, hardware, or software components required to meet user needs Maintain logs of any code modifications Conceive and document software design and testing plans Test performance of multiple deep learning models Improve the efficiency of deep learning algorithms to allow them to be run on standard hospital scanners Collaborate with the research team in developing next generation AI-powered medical imaging products Build and maintain experiment tracking tools Build and maintain model training, validation and deployment infrastructure Publication and other dissemination of new technologies Submit patent applications on significant new advances Qualifications Programming skills in Python/C/C++ Understanding of general principles of medical imaging and/or Deep Learning pipelines on medical images Working knowledge of Quality Management System (QMS) regulations and applicable familiarity with ISO 13485, ISO 14971, IEC 62304, and IEC 62366. Education Master's degree in Computer Science or relevant field Work Experience 5 years work experience in software engineering as a full stack developer and/or ML Ops Engineer Nice to Haves 5+ years work experience in software engineering for medical imaging Industry Computer Software / SAAS Medical Imaging/Radiology Hospital & Health Care Employment Type Full-time Location This is a remote role with potential for 5% travel. Travel is usually restricted to team meetings. Candidates in the San Francisco Bay Area are given the option to work hybrid at the Menlo Park office. Job Functions Engineering Want to apply? Please email ************************* with your resume/CV and the job title in the subject line. Be sure to include all applicable information that supports your qualification and interest in this role.

Granica is redefining how enterprises prepare and optimize data at the most fundamental layer of the AI stack-where raw information becomes usable intelligence. Our technology operates deep in the data infrastructure layer, making data efficient, secure, and ready for scale. We eliminate the hidden inefficiencies in modern data platforms-slashing storage and compute costs, accelerating pipelines, and boosting platform efficiency. The result: 60%+ lower storage costs, up to 60% lower compute spend, 3× faster data processing, and 20% overall efficiency gains. Why It Matters Massive data should fuel innovation, not drain budgets. We remove the bottlenecks holding AI and analytics back-making data lighter, faster, and smarter so teams can ship breakthroughs, not babysit storage and compute bills. Who We Are World-renowned researchers in compression, information theory, and data systems Elite engineers from Google, Pure Storage, Cohesity, and top cloud teams Enterprise sellers who turn ROI into seven‑figure wins. Powered by World-Class Investors & Customers $65M+ raised from NEA, Bain Capital, A* Capital, and operators behind Okta, Eventbrite, Tesla, and Databricks. Our platform already processes hundreds of petabytes for industry leaders Our Mission: We're building the default data substrate for AI, and a generational company built to endure. Smarter Infrastructure for the AI Era: We make data efficient, safe, and ready for scale-think smarter, more foundational infrastructure for the AI era. Our technology integrates directly with modern data stacks like Snowflake, Databricks, and S3-based data lakes, enabling: 60%+ reduction in storage costs and up to 60% lower compute spend 3x faster data processing 20% platform efficiency gains Trusted by Industry Leaders Enterprise leaders globally already rely on Granica to cut costs, boost performance, and unlock more value from their existing data platforms. A Deep Tech Approach to AI We're unlocking the layers beneath platforms like Snowflake and Databricks, making them faster, cheaper, and more AI-native. We combine advanced research with practical productization, powered by a dual-track strategy: Research: Led by Chief Scientist Andrea Montanari (Stanford Professor), we publish 1-2 top-tier papers per quarter. Product: Actively processing 100+ PBs today and targeting Exabyte scale by Q4 2025. Backed by the Best We've raised $60M+ from NEA, Bain Capital, A Capital, and operators behind Okta, Eventbrite, Tesla, and Databricks. Our Mission To convert entropy into intelligence, so every builder-human or AI-can make the impossible real. We're building the default data substrate for AI, and a generational company built to endure beyond any single product cycle. WHAT YOU'LL DO This is a deep systems role for someone who lives and breathes distributed infrastructure, understands how data moves at scale, and wants to build the next-generation AI data platform from the ground up. Own the ACID backbone. Design and harden transactional layers and metadata services so that petabyte-scale tables can time-travel in microseconds and schema evolution becomes a non-event. Turn metadata into rocket fuel. Build compaction, caching, and pruning services that keep millions of file pointers within 50 ms from lookup to plan. Squeeze more signal per byte. Optimize data layouts-from column ordering to dictionary and bit-packing, bloom filters, and zone-map indexes-to cut scan I/O by 10× on real-world workloads. Ship adaptive indexing with research. Co-invent machine-driven indexes that learn access patterns and automatically re-partition nightly-no more manual “analyze table” ever again. Scale the engine, not the babysitting. Write Spark, Flink, or batch pipelines that autoscale across S3, GCS, and ADLS; expose observability hooks; and survive chaos drills without triggering a pager storm. Code for longevity. Write clean, test-soaked Java, Scala, Go, or C++. Document key invariants so future teams can extend the system-instead of rewriting it. Measure success in human latency. If analysts see their dashboards refresh in blink-level time, you've won. Publish your breakthrough and mentor the next engineer to raise the bar again. WHAT WE'RE LOOKING FOR You've built systems where performance, resilience, and clarity of design all matter. You thrive at the intersection of infrastructure engineering and applied research, and care deeply about both how something works and how well it works at scale. Core Skills Distributed Systems and Storage Fundamentals - consistency, replication, sharding, durability, transactions. Columnar Storage Optimization - deep knowledge of Parquet or similar formats (column ordering, compression, zone maps). Metadata and Indexing Systems - experience building metadata-driven services, compaction, caching, and adaptive indexing. Distributed Compute at Scale - production-grade Spark/Flink or equivalent pipeline development across S3, GCS, or ADLS. Programming for Scale and Longevity - strong coding in Java, Scala, Go, or C++, with clean testing and documentation practices. Resilient Systems and Observability - you've built systems that survive chaos drills and expose the right metrics. Desired Skills Exposure to open table formats such as Apache Iceberg, Delta Lake, or Hudi. Experience with catalog services, query planning, or compaction frameworks. OSS contributions or published work in data infrastructure or distributed systems. WHY JOIN GRANICA If you've helped build the modern data stack at a large company-Databricks, Snowflake, Confluent, or similar-you already know how critical lakehouse infrastructure is to AI and analytics at scale. At Granica, you'll take that knowledge and apply it where it matters most…at the most fundamental layer in the data ecosystem. Own the product, not just the feature. At Granica, you won't be optimizing edge cases or maintaining legacy systems. You'll architect and build foundational components that define how enterprises manage and optimize data for AI. Move faster, go deeper. No multi-month review cycles or layers of abstraction-just high-agency engineering work where great ideas ship weekly. You'll work directly with the founding team, engage closely with design partners, and see your impact hit production fast. Work on hard, meaningful problems. From transaction layer design in Delta and Iceberg, to petabyte-scale compaction and schema evolution, to adaptive indexing and cost-aware query planning-this is deep systems engineering at scale. Join a team of expert builders. Our engineers have designed the core internals of cloud-scale data systems, and we maintain a culture of peer-driven learning, hands-on prototyping, and technical storytelling. Core Differentiation: We're focused on unlocking a deeper layer of AI infrastructure. By optimizing the way data is stored, processed, and retrieved, we make platforms like Snowflake and Databricks faster, more cost-efficient, and more AI-native. Our work sits at the most fundamental layer of the AI stack: where raw data becomes usable intelligence. Be part of something early-without the chaos. Granica has already secured $65M+ from NEA, Bain Capital Ventures, A* Capital, and legendary operators from Okta, Tesla, and Databricks. Grow with the company. You'll have the chance to grow into a technical leadership role, mentor future hires, and shape both the engineering culture and product direction as we scale. COMPENSATION & BENEFITS Competitive salary and meaningful equity Unlimited PTO + quarterly recharge days Premium health, vision, and dental Team offsites, deep tech talks, and learning stipends Help build the foundational infrastructure for the AI era Granica is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

We are looking for a Senior Front-End Software Engineer with strong software fundamentals to join a high-performing platform development team. This role combines hands-on development, mentorship, and growth opportunities. You will work on UI implementation and maintenance across multiple functional areas, contributing daily to improving user experiences and building deep expertise in the product. Key Responsibilities Partner with Product Managers and Designers to define and deliver new features and solutions. Collaborate with engineering teams across the stack to build scalable, user-facing features. Work closely with the Support team to triage bugs and resolve production issues quickly. Drive planning and execution of mid- to large-scale projects from conception to launch. Act as a subject matter expert while resolving complex technical challenges. Oversee the full systems development lifecycle, including architecture definition, design, scoping, planning, implementation, testing, documentation, and maintenance. Qualifications 6+ years of front-end development experience. Strong technical background (degree in Computer Science, Engineering, or related field preferred, or equivalent experience). Advanced knowledge of HTML, CSS, and ES6 JavaScript. Advanced knowledge of React, Next.js, and TypeScript. Experience using and consuming REST APIs with a strong understanding of client-server interaction. Familiarity with AGILE/Scrum development methods. Expert-level problem-solving and communication skills.

About Company, Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters. We're hiring Backend Software Engineer - Cloud Services in Sunnyvale, CA . What You'll Do Take full ownership of your services: drive the design, contribute new features, participate in peer reviews, and deliver production-ready solutions. Develop software primarily in Java and Python. Work with Kubernetes or be willing to quickly ramp up on container orchestration. Own end-to-end responsibility for major features and subsystems-from refining requirements to successful deployment in customer environments. Manage operational health of your services, including telemetry, metrics, and rapid production issue detection. Ensure high code quality through early testing, functional verification, and integration testing. Collaborate closely with Product Management to clarify scope, finalize requirements, and plan delivery. What You'll Bring Bachelor's degree in Computer Science or similar field (Master's preferred). 3+ years of experience building scalable, distributed systems. A strong passion for building software, learning new technologies, and collaborating in a team environment. Hands-on experience with AWS, Azure, or GCP, particularly at the programming/API level. Background in networking or security is a plus. Proficiency in Java and/or Python, with familiarity using REST APIs. Experience with CloudFormation or Terraform is beneficial. Knowledge of Spring or similar backend frameworks. Understanding of Kubernetes, Docker, and containerized environments is helpful. Familiarity with classic Gang of Four design patterns. Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment

Contact: ****************************** About Us We are collaborating with our client, an innovative fintech startup headquartered in the Bay Area, which focuses on delivering real-time card data primarily aimed at B2B software firms. Established as a spin-out in early 2024 and launching their product by the summer of that year, this organization is at a pivotal growth juncture, experiencing an expanding customer base and ambitious future initiatives. With the support of notable investors including Nica Partners, QED Investors, RBC, and Visa, this organization is championing advancements in card issuance technology. Their team of 20 passionate professionals is seeking exceptional engineers to aid in scaling their operations. Job Description We are assisting this organization in their search for a Senior DevOps Engineer (L1+), tasked with steering the evolution of their infrastructure and serverless architecture. Operating primarily within an AWS framework and extensively utilizing Lambda, the ideal candidate will spearhead serverless migrations while upholding the stringent security protocols essential for the fintech and payments domain, particularly regarding PCI compliance. Key Responsibilities Design and implement serverless infrastructure using AWS Lambda and associated services. Lead the serverless migration process and help define the infrastructure roadmap. Ensure compliance with PCI standards and establish security best practices throughout the infrastructure. Manage and optimize SQL-based databases hosted on AWS. Collaborate with teams to advance the organization's Kubernetes capabilities as they grow their microservices architecture. Work collaboratively with engineering teams to enhance deployment pipelines and improve the developer experience. Engage in a hybrid work model, requiring in-office presence on Tuesdays, Wednesdays, and Thursdays. Requirements Required: A minimum of senior-level (L1+) experience in DevOps or Infrastructure engineering. In-depth knowledge of AWS, particularly Lambda and serverless architectures. A strong background in security practices, especially regarding PCI compliance for infrastructure. Experience with SQL-based database management. Familiarity with the fintech or payments industry is essential. Knowledge of the card issuance sector and experience with payment networks, ideally including Mastercard. Startup experience with a proven ability to deliver quick and effective solutions. A willingness to relocate to or already residing in the Bay Area. Preferred: Experience with Kubernetes. Expertise in microservices architecture. Prior experience at organizations such as Marqeta, Plaid, Ramp, or Brex. Experience working with payment networks. Benefits A competitive compensation package comprising both salary and equity, ensuring alignment with the best talent available. A 4% matching contribution for the 401(k) plan. Comprehensive medical and dental insurance managed through Rippling. Regular off-site events throughout the year in diverse locations across the US and Europe, including frequent trips to California and New York. Exclusive company merchandise. A hybrid work structure requiring three days of on-site work.

We are seeking a Senior DevOps Build Engineer with experience in designing, building, and maintaining secure, automated CI/CD pipelines for cloud based applications. The ideal candidate is a cloud savvy AWS expert with strong DevOps experience and good understanding of infrastructure-as-code, containerization and security scanning. In this role, you will collaborate across multiple teams including development, infrastructure, security and networking to deliver reliable, secure and scalable cloud solutions. You will also provide leadership in DevOps best practices, CI/CD automation, and secure architecture design. Responsibilities: Design, build, and optimize automated CI/CD pipelines and integrate SAST, DAST, OSS, and container security scans. Provide DevOps architectural leadership, mentorship, and best-practice guidance across teams. Lead standardization of DevOps pipeline frameworks and secure development patterns. Implement automated deployment, infrastructure, and build/release workflows. Own technical implementation for assigned development initiatives and ensure alignment with internal engineering standards. Partner closely with architecture, security, and engineering stakeholders to ensure secure and compliant build practices. Maintain platform security aligned with organizational Information Security policies. Anticipate risks and proactively propose solutions related to enterprise platform scaling and cloud adoption. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or equivalent work experience. At least 7 years of AWS experience delivering solutions in a DevOps or architecture role Hands on background designing, implementing, and supporting complex multi environment platforms. Proven experience building and supporting DevOps infrastructure, CI/CD pipelines, and automation. Strong experience configuring GitLab and artifact repositories such as Nexus. Experience preparing vulnerability reports using tools such as Fortify, SonarQube, NexusIQ, and GitLab native scans (Semgrep, Gymnasium). Experience configuring Checkov and KICS for IaC scanning. Containerization experience using Docker and AWS cloud services (CloudWatch, ECS, EKS, Lambda, Fargate, EC2.) Secrets management experience using AWS Secrets Manager, AWS SSM Parameter Store, and/or Vault. Advanced scripting experience using Python, Shell, Groovy, YAML/JSON. Experience with major IDEs using Visual Studio, IntelliJ, Eclipse. Strong experience integrating build tools and technologies across C++, Java, JavaScript, and .NET application stacks. Strong Linux and Windows OS experience. Knowledge working within Agile project environments and using tools such as Jira and VersionOne.

Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite empowers imagination with intelligence. And that it will be such Fractalites that will continue to build the company for the next 100 years. Please visit Fractal | Intelligence for Imagination for more information about Fractal. Job Responsibilities: Lead and build DevOps capability for Azure services. Planning, design and development of Azure Infra based architecture and solutions. Working closely with client and delivering outcomes per the SoW and SLA Architect, design, develop, deploy and document new systems or maintain existing systems on Cloud Platforms based on specifications. Collaborate with, provide continuous guidance to, and influence design decisions of various Agile development teams for various existing and new products and solutions w.r.t. Cloud enablement, migration and infrastructure needs, to adopt and promote Cloud best practices, and economies of scale. Engage customers understand their use cases and operational needs, as well as engage with Cloud Platform vendors to understand their technology roadmaps and evolution and translate to comprehensive technology guidance for various product teams. Design for Cloud security and compliance ensure solutions and operations reliability. Drive and conduct audits on current cloud utilization and recommend cloud optimization and security changes. Act as a mentor and technical consultant for the various teams. Desired/Preferred Skills: Well versed with IaaS and PaaS services of Azure Strong understanding and implementation of DevSecOps Framework. Understand the technical, financial and organizational requirements and constraints of enterprise customers and work closely with multiple teams to lead cloud enabled solutions Demonstrate ability to architect enterprise ready secure and scalable solution in cloud optimized for cost. Hands on experience with container technologies (Docker, Kubernetes, OCI, etc.) and microservices architecture. Hands on experience with Unix and Linux based systems, shell scripting Effectively communicate the target state architecture topology on cloud to clients Solid understanding of design principles for resilient, scalable, high-performing distributed applications Experience with automation, orchestration, CI/CD tools like Jenkins, GitHub Actions, Azure DevOps and other tools. Have integrated code quality and security tools in CICD. Worked with build and release to Azure services like Azure WebApp, Logic App, Data Factory, Databricks and other services. Ability to work on multiple projects, collaborate effectively with multiple teams and be flexible to adapt to changing requirements. Have worked with external client, managed client expectation and delivery Good understanding of Infrastructure as a Code script like Terraform, ARM, Pulumi or others Experience in programming languages like Python, Bash, Perl, VBScript, GoLang, will be an added advantage. Monitoring and Logging tools knowledge/experience like Azure Monitor, App Insight and Log Analytics, Prometheus, Grafana and Fluentbit will be added advantage. Years of Experience: 6 to 7 years experience 5+ years of experience in DevOps Education Qualification: B.E / B.Tech, BCA, MCA equivalent Cloud DevOps certification - Azure DevOps, Azure Architect Pay: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $131,000 - $159,000. In addition, you may be eligible for a discretionary bonus for the current performance period. Benefits: As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take time needed for either sick time or vacation. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Fractal Doesn't offer any sponsorship at this time.

We are actively searching for a Founding Protocol Engineer to join our team on a permanent basis. In this position you will If you are someone that is impressed with what Hyperliquid has accomplished then this role is for you. We are on a mission to build next generation lending and debt protocols. We are open to both Senior level and Architect level candidates for this role. Your Rhythm: Drive the architecture, technical design, and implementation of our lending protocol. Collaborate closely with researchers to validate and test designs Collaborate with auditors and security engineers to ensure safety of the protocol Participate in code reviews, providing constructive feedback and ensuring adherence to established coding standards and best practices Your Vibe: 5+ years of professional software Engineering experience 3+ years of experience working in Solidity in EVM in production environments, specifically focused in DeFi products 2+ years of experience working with a modern backend languages (Go, Rust, Python, etc) in distributed architectures Experience building lending protocols in a smart contract language Open to collaborating onsite a few days a week at our downtown SF office Our Vibe: Relaxed work environment 100% paid top of the line health care benefits Full ownership, no micro management Strong equity package 401K Unlimited vacation An actual work/life balance, we aren't trying to run you into the ground. We have families and enjoy life too!

Software Engineer - San Francisco, CA A company building frontier-scale AI models that automate software engineering and AI research, combining ultra-long context, domain-specific RL, and massive compute infrastructure are looking for a Software Engineer to join their team. What Will I Be Doing: Build a command line tool that lets users pair with our AI to write code, execute commands, and query codebases Develop web applications for cloud-based development environments and account management Partner with research teams to transform cutting-edge work into public-facing products Scale and iterate our product offerings globally What we're looking for: 5+ years of product engineering experience AI-first mindset. Experience with or strong interest in AI-powered applications Proven track record collaborating with design teams Ability to turn complex engineering and research into seamless, usable products Quick learner with grit What's in it for me: Salary of $225K-$550K dependent on experience + significant equity Great benefits inc. 401(k) with 6% company match, comprehensive health, unlimited PTO Visa sponsorship and SF relocation stipend available Well-funded ($465M+) with backing from top investors Apply now for immediate consideration!