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senior software engineer, fullstack

senior data platform engineer

Lumina Tech Group

<div>
 <p>
  <strong>
   About the Role
  </strong>
 </p>
 <p>
  We partner with hundreds of high-growth companies to build tools that solve complex problems at scale.
 </p>
 <p>
  We&rsquo;re looking for a product-minded engineer to help build impactful products used by thousands of users. This is an opportunity to work on systems that influence one of the largest markets in the world.
 </p>
 <p>
  You&rsquo;ll have end-to-end ownership across product and engineering, working with valuable proprietary datasets to build scalable solutions.
 </p>
 <p>
  <strong>
   What You&rsquo;ll Work On
  </strong>
 </p>
 <ul>
  <li>
   Intelligently matching millions of users and organizations using unique proprietary data
  </li>
  <li>
   Designing incentive systems that improve collaboration and platform engagement
  </li>
  <li>
   Building core tooling to power user workflows, including AI note-taking, email sequencing, browser extensions, and related tools
  </li>
  <li>
   Creating new ways for users to discover opportunities and connections
  </li>
  <li>
   Developing creative strategies to drive marketplace liquidity across industries such as Legal, Finance, and Healthcare
  </li>
 </ul>
 <p>
  <strong>
   What We&rsquo;re Looking For
  </strong>
 </p>
 <ul>
  <li>
   Product-minded engineer with strong ownership and execution skills
  </li>
  <li>
   Ability to work across the stack, with a lean toward product engineering
  </li>
  <li>
   Strong problem-solving ability, sound judgment, and high EQ
  </li>
  <li>
   Interest in building user-facing products in a fast-moving environment
  </li>
  <li>
   Excited by startup intensity and the opportunity to help scale both product and team
  </li>
 </ul>
 <p>
  <strong>
   Team &amp; Opportunity
  </strong>
 </p>
 <ul>
  <li>
   Small, high-talent-density engineering team with plans to grow significantly
  </li>
  <li>
   Open to both junior and senior candidates
  </li>
  <li>
   Looking for engineers who can contribute to both building product and shaping culture
  </li>
  <li>
   High ownership environment with direct impact on company growth and product direction
  </li>
 </ul>
 <p>
  <strong>
   Compensation &amp; Benefits
  </strong>
 </p>
 <ul>
  <li>
   Salary:
   <strong>
    $150,000 &ndash; $275,000
   </strong>
  </li>
  <li>
   Competitive equity
  </li>
  <li>
   Relocation support available
  </li>
  <li>
   Visa sponsorship on a case-by-case basis
  </li>
  <li>
   Unlimited PTO
  </li>
  <li>
   Gym membership
  </li>
  <li>
   Global offsites
  </li>
  <li>
   Meals covered
  </li>
 </ul>
 <p>
  <strong>
   Location
  </strong>
 </p>
 <ul>
  <li>
   Onsite in
   <strong>
    San Francisco
   </strong>
  </li>
 </ul>
 <p>
  <strong>
   Why Join
  </strong>
 </p>
 <ul>
  <li>
   Build impactful products powered by AI and large-scale data
  </li>
  <li>
   Join a lean engineering team where individual impact is high
  </li>
  <li>
   Work on meaningful user problems at the intersection of software, marketplaces, and modern infrastructure
  </li>
 </ul>
 <p>
 </p>
</div>


Software Engineer

Ripple

<div><div><p>At Ripple, we're building a world where value moves like information does today. It's big, it's bold, and we're already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs.</p>
<p>
If you're ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value.</p></div><p>
At Ripple, we're building a world where value moves like information does today. It's big and bold, and we're already doing it. Through our crypto solutions for financial institutions, businesses, governments, and developers, we improve the global financial system. We craft greater economic fairness and opportunity for more people in more places globally. We perform the best work of our careers and develop our skills with colleagues who have our backs.</p>
<p>
If you're ready to see your impact and embrace meaningful new challenges, join us, and build real world value.</p>
<p><b>
The Work:</b></p>
<p>
We're seeking a Senior Staff Engineer to act as the technical architect and strategic leader for Ripple's data platform. This role is one of the highest-impact individual contributor positions on the Data team. You will build a coherent, unified view of Ripple's data across all business units. You will establish the definitive source of truth for company metrics and lead our &quot;AI for Data&quot; transformation. You will collaborate across data teams and work directly with senior leadership in Data, Product, Engineering, and Go-to-Market to develop how Ripple understands itself through data. You won't just build systems; you will define the technical vision that connects them. This sits at the intersection of architecture, integration, governance, and applied AI.</p>
<p><b>
What you'll do:</b></p>
<ul>
<li>Build &quot;One View&quot; of Ripple by serving as the main architect for a Unified Data Fabric. Construct a well-rounded view of Ripple's data platforms, pipelines, and tools. Craft the systems and interoperability standards that bring data together across all business units for leadership, product, and GTM teams.</li>
<li>Compose and build the Ripple Metrics Store, a definitive, governed layer that serves as the single source of truth for business metrics across all business units.</li>
<li>Define metrics governance, ownership models, and validation frameworks. Build and maintain the Metrics Glossary in partnership with the Data Science team, and collaborators crafting a shared language for how Ripple measures its business.</li>
<li>Define and lead the AI roadmap for the Data organization setting the vision for how AI transforms the way Ripple builds, governs, and consumes data.</li>
<li>Enable conversational analytics and intelligence by architecting AI Agents that allow non-technical collaborators to self-serve insights directly from the data platform.</li>
<li>Automate data engineering workflows by encouraging use of AI-powered coding assistants for SQL/ETL generation. Define the standards, validation frameworks, and guidelines for AI-generated code across the team.</li>
<li>Lead cross-team build reviews, setting the technical bar for data architecture decisions across the organization.</li>
<li>Mentor and up-level engineers across data teams, raising the standard for system building, code quality, and engineering rigor.</li>
<li>Act as the main technical consultant to senior leadership across Data, Product, and Engineering regarding long-term technical bets, platform investments, and build-vs-buy decisions.</li>
</ul>
<p><b>What you'll bring:</b></p>
<ul>
<li>14+ years of experience in data engineering, data architecture, or related software engineering fields, with a significant portion spent in senior technical leadership or architect roles.</li>
<li>Having a track record of bringing together data ecosystems from multiple business units, you have built the connections that convert isolated data platforms into a consistent entity.</li>
<li>Deep expertise in modern data architecture, data mesh, lakehouse patterns, with hands-on experience in technologies like Spark, Kafka, Airflow, dBT, Databricks, and cloud-native data services (AWS, GCP, or Azure).</li>
<li>Experienced in metrics governance and semantic layers, you have established or planned metrics stores, business glossaries, or comparable systems that provide an organization's source of truth.</li>
<li>Demonstrated experience with AI/ML in data engineering contexts, whether building feature stores, deploying AI-powered data quality monitoring, integrating LLMs into developer workflows, or crafting agentic systems for data operations.</li>
<li>Architectural vision paired with execution ability, you can whiteboard a multi-year platform strategy and also get into the code to prototype critical path components.</li>
<li>With outstanding communication and influence skills, you comfortably present to VP/C-level audiences. You translate technical trade-offs into business language and build consensus among teams with competing priorities.</li>
<li>A collaborative, ego-free approach to leadership, you lead through influence and technical credibility, not through title.</li>
<li>Experience with blockchain data, on-chain analytics, or large-scale financial/payments data is a plus.</li>
<li>Direct involvement with LLM-enabled developer tools and agents, AI code synthesis, RAG-style data catalogs, natural language querying interfaces, or agent orchestration solutions is beneficial.</li>
<li>BS or equivalent experience in Computer Science or similar.</li>
</ul><p></p><div>
<p><b>WHO WE ARE:</b></p>
<p>
Do Your Best Work</p>
<ul>
<li>The opportunity to build in a fast-paced start-up environment with experienced industry leaders</li>
<li>A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning.</li>
<li>Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team.</li>
<li>In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in.</li>
<li>Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team</li>
<li>We come together for moments that matter which include team offsites, team bonding activities, happy hours and more!</li>
</ul>
<p>Take Control of Your Finances</p>
<ul>
<li>Competitive salary, bonuses, and equity</li>
<li>Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support</li>
<li>Employee giving match</li>
<li>Mobile phone stipend</li>
</ul>
<p>Take Care of Yourself</p>
<ul>
<li>R&amp;R days so you can rest and recharge</li>
<li>Generous wellness reimbursement and weekly onsite &amp; virtual programming</li>
<li>Generous vacation policy - work with your manager to take time off when you need it</li>
<li>Industry-leading parental leave policies. Family planning benefits.</li>
<li>Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events</li>
</ul>
<p><i>Benefits listed above are for full-time employees.</i></p>
<p></p>
<div><i>Ripple is an Equal Opportunity Employer. We're committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.</i></div>
<div></div>
<div><i>Please find our </i><i>UK/EU Applicant Privacy Notice </i><i>and our </i><i>California Applicant Privacy Notice</i><i> for reference.</i></div></div></div><p></p>

Senior Staff Engineer — Data Engineering & Architecture

Charles Schwab

<div><h2 class="jobSectionHeader"><b>Your opportunity</b></h2><div><br>
At Schwab, your career is more than a job&mdash;it's an opportunity to impact the lives of millions. Innovation and creative problem solving thrive here, as we challenge conventional approaches and prioritize collaboration. We value in-person teamwork, so this role is based on-site at our San Francisco office.</div><div></div><div><br>
As part of Schwab&rsquo;s AI Strategy &amp; Transformation team (AI.x), you&rsquo;ll join the central hub for Artificial Intelligence across the company. AI.x brings together product, engineering, strategy, and risk specialists to set enterprise AI vision, invest in transformative opportunities, and accelerate delivery organization-wide. Our team builds the scalable core platform for AI and explores next-generation GenAI initiatives that redefine client experiences.</div><div></div><div><br>
We&rsquo;re seeking a Senior AI Engineer who will design and deliver cutting-edge GenAI applications, enhancing the client journey and driving tangible business value. You&rsquo;ll collaborate closely with architects, engineers, and business leaders to align solutions with Schwab&rsquo;s strategic goals, and mentor junior team members&mdash;cultivating best engineering practices and a culture of continuous learning.</div><div></div><div><br>
In this pivotal role, you&rsquo;ll not only advance technical standards and solve complex challenges, but also lead rapid iterations from concept to production. You will bring curiosity, creativity, and technical depth to help shape the next era of AI at Schwab, with a special emphasis on site reliability, monitoring, observability, and operations. You&rsquo;ll ensure that the systems you build are robust, reliable, and well-monitored, implementing best practices for observability and operational excellence to maintain high performance and uptime for mission-critical AI applications.</div><ul><li>
Design, build, and deliver GenAI applications that elevate client experience and generate business impact.</li><li>
Champion reliability, monitoring, observability, and operational best practices for AI systems and data pipelines.</li><li>
Collaborate with cross-functional teams to align solutions with enterprise strategy and technical standards.</li><li>
Mentor and coach junior engineers, fostering strong practices and continuous learning.</li><li>
Lead by example in solving complex technical challenges and driving rapid iteration from concept to deployment.</li><li>
Implement and maintain monitoring, alerting, and incident response frameworks to ensure system health and reliability.</li><li>
Advance engineering standards, focusing on operational excellence and quality across all deliverables.</li></ul><h2 class="jobSectionHeader"><b>
What you have</b></h2><div><b><br>
Required Qualifications</b></div><ul><li>
8+ years of software development experience, with 4+ years as a hands-on senior engineer in startups and/or large organizations.</li><li>
Bachelor&rsquo;s degree in Computer Science or related field.</li><li>
5+ years building complex products from scratch, running them in production, and ensuring operational reliability.</li><li>
3+ years building applications leveraging AI models for measurable business impact.</li><li>
3+ years developing applications and data pipelines interfacing with large datasets.</li><li>
3+ years working with containers and cloud-native applications, operationalizing them in the public cloud with infrastructure as code.</li></ul><div><b>
Preferred Qualifications</b></div><ul><li>
Strong computer science fundamentals and experience across the tech stack.</li><li>
Experience with proprietary or open-source LLMs (e.g., Gemini, Claude, OpenAI) and deploying LLM-powered applications to production.</li><li>
Commitment to quality&mdash;driving high standards and writing tests at all levels.</li><li>
Experience writing and running evaluations for quality and consistency in LLM-generated output.</li><li>
Strong written and verbal communication skills to clearly convey ideas and feedback.</li><li>
Mentoring junior engineers and supporting their technical growth through code reviews and guidance.</li><li>
Mindset of continuous learning and improvement.</li><li>
Ability to solve complex problems with ambiguous or incomplete data in distributed systems.</li><li>
Demonstrated business domain knowledge relevant to previous products.</li><li>
Curiosity about new technologies and processes, proactively sharing knowledge and seeking improvement.</li><li>
Experience with Python and front-end development preferred but not required.</li><li>
Master&rsquo;s or advanced degree in Computer Science or related field.</li></ul><div>
In addition to the salary range, this role is eligible for bonus or incentive opportunities.</div><div><h2 class="jobSectionHeader"><b><br>
What&rsquo;s in it for you</b></h2><p>
At Schwab, you&rsquo;re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration&mdash;so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.</p><p>
We offer a competitive benefits package that takes care of the whole you &ndash; both today and in the future:</p><ul><li>
401(k) with company match and Employee stock purchase plan</li><li>
Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions</li><li>
Paid parental leave and family building benefits</li><li>
Tuition reimbursement</li><li>
Health, dental, and vision insurance</li></ul></div></div>

Sr. AI Engineer, AI.x

PARASAIL

<div><div><p>Parasail is redefining AI infrastructure by enabling seamless deployment across a distributed network of GPUs, optimizing for cost, performance, and flexibility. Our mission is to empower AI developers with a <b>fast, cost-efficient, and scalable</b> cloud experience&mdash;free from vendor lock-in and designed for the next generation of AI workloads.</p></div><div><h3 class="jobSectionHeader"><b>
Job Description</b></h3>
<p>
The Senior Software Engineer, Distributed Systems role at Parasail is crucial for ensuring the seamless deployment, scalability, and security of our AI platform. This position is tailored for individuals passionate about creating robust infrastructures that support complex AI workloads, with a strong emphasis on cloud compatibility, security, ease of use, and cost savings. You will work closely with AI-focused performance and solutions engineering teams, facilitating the orchestration of resources needed for high-performing AI applications, all while ensuring our infrastructure adheres to the highest standards of security and data privacy.</p>
<h3 class="jobSectionHeader"><b>
Technical Abilities</b></h3>
<ul>
<li><p><b>Microservice Architecture:</b> Deep understanding of distributed application design patterns, service decomposition, and inter-service communication. Experience in building scalable and maintainable microservice-based systems.</p>
</li>
<li><p><b>Backend Development:</b> Strong foundation in storage solutions and networking protocols. Ability to design and implement robust backend systems with optimized data management and network communication.</p>
</li>
<li><p><b>Programming Languages &amp; Frameworks:</b> Extensive experience with Java, Spring Boot, and Golang. Proficiency in developing enterprise-grade applications using modern development frameworks and tools.</p>
</li>
<li><p><b>Distributed Systems:</b> Deep knowledge of distributed computing principles, including consistency models, fault tolerance, and scalability patterns. Experience in designing and maintaining large-scale distributed applications.</p>
</li>
<li><p><b>Cloud-Native Technologies:</b> Proficiency in cloud platforms and Infrastructure as Code (IaC). Experience with containerization, orchestration, and automated infrastructure deployment using modern DevOps practices.</p>
</li>
<li><p><b>Large Language Models:</b> Understanding of LLM technologies and their applications. Experience in integrating and working with AI language models in production environments, including model deployment and optimization.</p>
</li>
</ul><h3 class="jobSectionHeader"><b>Qualifications</b></h3>
<ul>
<li><p>5+ years of experience in backend or infrastructure, with exposure in Kubernetes and distributed computing environments.</p>
</li>
<li><p>Demonstrated ability to build and secure scalable, high-performance backend.</p>
</li>
<li><p>Hands-on to build brand new system and make end to end work</p>
</li>
<li><p>Excellent problem-solving skills, with a track record of designing solutions that address the complex needs of AI workloads.</p>
</li>
<li><p>While AI experience is not required, a demonstrated capacity to learn new technologies and stay up-to-date on the cutting edge is essential.</p>
</li>
</ul><h3 class="jobSectionHeader"><b>What You Bring to the Table</b></h3>
<p>
This role is pivotal in building a new breed of cloud architecture that enables enterprises to build powerful AI in their preferred environment with the same performance and economics as uncontrolled external services. This role ensures our AI solutions are not just innovative but also secure and sustainable. If you're passionate about learning the cutting edge of AI, building the future of infrastructure, and making a tangible impact to the early days of a company, we're excited to welcome you aboard.</p></div></div>

Senior Software Engineer, Distributed Systems

Giga

<div>
 <strong>
  About Giga
  <br/>
  <br/>
 </strong>
 Giga has recently raised a $61M Series A and has several paying customers, including DoorDash. We&rsquo;re building the next generation of customer experience &mdash; real-time AI agents that can understand emotion, resolve issues instantly, and scale across the world&rsquo;s largest enterprises.
 <br/>
 <br/>
 It&rsquo;s an exciting inflection point for the company. While we have been successful, we have larger ambitions. Our goal is to become the go-to AI platform for all enterprise automation, powered by our voice superintelligence. To achieve this, we need more great engineers.
 <br/>
 <br/>
 The work affects millions of people every day and our engineers have autonomy and make true impact. This opportunity is unique because we have brilliant founders, have found commercial success, and see a clear path to becoming a generational company. Some further info about us:
 <br/>
 <br/>
 <ul>
  <li>
   Voice AI startup Giga raises $61M Series A
  </li>
  <li>
   DoorDash and Giga Partnership
   <br/>
   <br/>
  </li>
 </ul>
 Giga builds AI agents trusted by the largest B2C companies in the world. Industry leaders like DoorDash trust Giga with their most complex support and operations workflows across voice, chat, and email. If being a part of this resonates with you, please apply!
 <br/>
 <br/>
 <strong>
  The Role
  <br/>
  <br/>
 </strong>
 We're looking for software engineers to help build the systems that power our AI agents. You'll work across the backend, from data pipelines and integrations to agent infrastructure, shipping features alongside experienced engineers who will help you grow.
 <br/>
 <br/>
 This is a role where you'll contribute to real problems from day one. We expect you to ramp up quickly, take ownership of your work, and operate with increasing independence as you learn the codebase.
 <br/>
 <br/>
 <strong>
  What You'll Work On
  <br/>
  <br/>
 </strong>
 You'll contribute to projects across our stack. Some examples:
 <br/>
 <br/>
 <ul>
  <li>
   Atlas: Building features for our AI assistant: charts and alerts in Slack, natural language queries, and expanding Atlas to manage platform resources
  </li>
  <li>
   Activity Stream: Log visualization with filters, timestamps, and frequency charts to give visibility into agent behavior
  </li>
  <li>
   Dynamic knowledge: Adding time-based knowledge (like ongoing incidents) that auto-updates from sources like status pages
  </li>
  <li>
   Agent memory: Conversation awareness and recent interaction lookups so agents remember context across sessions
   <br/>
   <br/>
  </li>
 </ul>
 As an early-career engineer, you'll be paired with senior engineers on larger initiatives while also owning smaller projects end-to-end as you ramp up.
 <br/>
 <br/>
 <strong>
  You Might Be a Fit If You
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Have 1-3 years of professional software engineering experience
  </li>
  <li>
   Are curious and ask good questions&mdash;you want to understand why things work, not just how
  </li>
  <li>
   Can take feedback well and iterate quickly
  </li>
  <li>
   Prefer shipping over perfection but still care about quality
  </li>
  <li>
   Want to grow at a startup where you'll have real responsibility early
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Perks &amp; Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Catered lunch daily
  </li>
  <li>
   Dinner stipend
  </li>
  <li>
   $150/month wellness benefit (gym, fitness classes, mental health)
  </li>
  <li>
   401(k) plan
  </li>
  <li>
   Paid parental leave (12 weeks maternal, 6 weeks paternal)
  </li>
  <li>
   Commuter benefits
  </li>
  <li>
   Medical, dental, and vision coverage
   <br/>
   <br/>
  </li>
 </ul>
 Giga is an equal opportunity employer. We're committed to providing equal employment opportunities regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law.
 <br/>
 <br/>
 Compensation Range: $160K - $250K
 <br/>
 <br/>
</div>


Software Engineer I / II - San Francisco

<div><div><p>Parasail is redefining AI infrastructure by enabling seamless deployment across a distributed network of GPUs, optimizing for cost, performance, and flexibility. Our mission is to empower AI developers with a <b>fast, cost-efficient, and scalable</b> cloud experience&mdash;free from vendor lock-in and designed for the next generation of AI workloads.</p></div><div><h1 class="jobSectionHeader"><b>
The Role</b></h1>
<p>
We&rsquo;re looking for a Senior Fullstack Engineer who wants to own large surface areas of product from database to pixel. You&rsquo;ll build the interfaces, APIs, and systems that thousands of AI engineers interact with daily &mdash; from our real-time inference dashboard and model deployment console to the orchestration APIs that route workloads across a global GPU network.</p>
<p>
This isn&rsquo;t a role where you&rsquo;ll be handed pixel-perfect mocks and asked to implement them. You&rsquo;ll shape what we build and how it works, collaborating directly with founders and infrastructure engineers to turn complex distributed systems into products that feel simple and fast.</p>
<h1 class="jobSectionHeader"><b>
What You&rsquo;ll Build</b></h1>
<ul><li><b>Inference Platform UI: </b>Design and build the dashboards, model deployment workflows, and real-time monitoring views that our customers use to deploy and manage AI workloads at scale.</li>
<li><b>APIs &amp; Backend Services: </b>Architect and implement the backend services that power our platform &mdash; model serving endpoints, usage metering, billing integrations, authentication, and developer-facing APIs.</li>
<li><b>Orchestration Interfaces: </b>Build the frontend and API layers on top of our GPU orchestration engine, giving users intuitive control over routing, caching, scaling, and cost optimization across our global network.</li>
<li><b>Developer Experience: </b>Own the end-to-end developer experience including API documentation, SDK design, CLI tools, and onboarding flows that make Parasail the easiest inference platform to adopt.</li>
<li><b>Real-Time Systems: </b>Implement streaming interfaces (SSE/WebSockets) for real-time inference responses, live cost tracking, and deployment status updates.</li>
<li><b>Data &amp; Analytics: </b>Build internal and customer-facing analytics &mdash; usage dashboards, cost breakdowns, latency distributions, and performance benchmarking tools.</li>
</ul><h1 class="jobSectionHeader"><b>Technical Abilities</b></h1>
<ul><li><b>Frontend Engineering: </b>Strong experience with modern frontend frameworks (React, Next.js, or similar). You write clean, performant TypeScript and care about UI/UX details &mdash; loading states, error handling, responsive design, and accessibility.</li>
<li><b>Backend Development: </b>Deep experience building production backend services in Go, Python, Java, or Node.js. You&rsquo;re comfortable designing RESTful and gRPC APIs, working with relational and NoSQL databases, and implementing auth, rate limiting, and caching layers.</li>
<li><b>Distributed Systems Fundamentals: </b>Solid understanding of distributed computing principles &mdash; consistency models, fault tolerance, and scalability patterns. You don&rsquo;t need to be a distributed systems PhD, but you should be comfortable reasoning about systems that span multiple services and regions.</li>
<li><b>Cloud-Native &amp; Infrastructure: </b>Experience with cloud platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and CI/CD pipelines. Bonus if you&rsquo;ve worked with Infrastructure as Code (Terraform, Pulumi).</li>
<li><b>Data &amp; Observability: </b>Experience building data pipelines, analytics dashboards, and integrating observability tools (metrics, logging, tracing). You know how to instrument systems so problems surface before customers notice.</li>
<li><b>AI/ML Familiarity (Nice to Have): </b>Understanding of LLM technologies, inference optimization (batching, caching, quantization), or model serving platforms like vLLM, TGI, or Triton. If you don&rsquo;t have this yet, you&rsquo;re excited to learn.</li>
</ul><h1 class="jobSectionHeader"><b>Qualifications</b></h1>
<ul><li>5+ years of professional software engineering experience with significant fullstack ownership (you&rsquo;ve shipped features end-to-end, from UI to database).</li>
<li>Track record of building and scaling web applications or developer platforms used by technical audiences.</li>
<li>Experience working in fast-paced environments where you&rsquo;ve had to make pragmatic trade-offs between speed and quality.</li>
<li>Strong product instincts &mdash; you think about the user experience, not just the code.</li>
<li>Excellent communication skills. You can explain technical decisions to non-technical stakeholders and write clear documentation.</li>
<li>While deep AI experience is not required, a demonstrated ability to learn new technologies quickly and stay current with the rapidly evolving AI landscape is essential.</li>
</ul><h1 class="jobSectionHeader"><b>Why Parasail</b></h1>
<ul><li><b>Massive impact at an early stage. </b>We&rsquo;re a small team building infrastructure that powers thousands of AI applications. Your work will be felt by every customer, every day.</li>
<li><b>Work at the frontier. </b>AI inference is one of the fastest-growing and most technically interesting areas in tech. You&rsquo;ll work alongside engineers who&rsquo;ve built AI companies from scratch and shipped products used by industry leaders.</li>
<li><b>Full ownership, minimal bureaucracy. </b>No PRDs written by someone three levels away. You&rsquo;ll work directly with founders and ship to production on your own terms.</li>
<li><b>Competitive compensation. </b>Competitive salary, meaningful equity in a high-growth company, and benefits designed for a distributed team.</li>
</ul>
<div><div><div><div><p><i>The AI inference market is projected to dwarf the training market within a few years. Parasail is building the infrastructure layer that makes this possible. If you want to build products that shape how the world runs AI, we&rsquo;d love to hear from you.</i></p></div></div></div></div></div></div><p></p>

Senior Software Engineer, Fullstack

Apple

<p>Imagine what you could do here. At Apple, we believe new insights have a way of becoming excellent products, services, and customer experiences very quickly. Bring passion and dedication to your job and there&rsquo;s no telling what you could accomplish. The people here at Apple don&rsquo;t just create products, they create the kind of wonder that&rsquo;s revolutionized entire industries. It&rsquo;s the diversity of those people and their ideas that inspires the innovation that runs through everything we do.<br>
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<b>Description</b><br>
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Join our team and help us build intelligent, scalable solutions. You'll be at the forefront, architecting, designing, and implementing highly available enterprise solutions that truly match Apple's scale. We are working on a developer experience platform for internal use to assist our app development teams accelerate their SDLC. The role focuses on enhancing existing Java based frameworks and development tools for code modernization by combining LLM's with engineering practices to drive higher developer productivity. You will collaborate with other software engineers, and other data scientists to deliver end to end solutions for this platform. If you're excited about shaping impactful solutions in a collaborative, experiment-driven environment, this role is for you.&quot;,&quot;responsibilities&quot;:&quot;The senior level Java engineer will have a robust understanding of micro-services and Generative AI to join our team.<br>
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You will help design, implement, and maintain code mostly in Java, with the flexibility to work in other languages to meet project needs.<br>
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This role involves integrating with various enterprise services including, LLMs and adding Gen AI capabilities.<br>
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You would support our mission by applying groundbreaking research in this rapidly evolving and exciting space, to our daily work.<br>
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<b>Preferred Qualifications</b><br>
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Experience with using and developing OpenRewrite recipes.<br>
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Experience leading and mentoring engineers.<br>
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Experience building agent-based systems and agentic workflows.<br>
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Solid understanding of data modeling and database systems including PostgreSQL, MongoDB, &amp; other NOSQL technologies.<br>
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Experience with cloud platforms (AWS, GCP), CI/CD, and container orchestration e.g Kubernetes.<br>
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Experience building applications with Java and J2EE/Jakarta EE related technologies - Spring Framework, Spring Boot.<br>
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<b>Minimum Qualifications</b><br>
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Bachelors in Computer Science or equivalent experience.<br>
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3+ years of proven experience developing and maintaining production services using Java and the Spring Framework / Spring Boot.<br>
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5+ years experience building large scale distributed systems.<br>
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5+ years leading software design &amp; architecture.<br>
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2+ years programming with Python.<br>
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Experience working with AI, such as building MCP servers, designing prompts &amp; integrating LLMs.<br>
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Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .<br>
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<b>Pay &amp; Benefits</b><br>
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At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.<br>
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Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.<br>
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Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

Sr Software Engineer, AI & Data Platforms (AiDP)

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