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About Us: Turbalance AI is an innovative, emerging startup that transforms AI laws. We are a team of passionate problem-solvers who believe in what we’re building. We constantly push boundaries and embrace our inner nerds as we find new ways to tackle complex challenges. You will find a dynamic work environment here, with flat or even nonexistent hierarchies and the chance to take on responsibility from day one. About the Role: We're looking for a Forward Deployed Engineer to join our growing team! In this role, you'll be a key technical partner for our customers across the entire customer lifecycle—from pre-sales technical support through onboarding, implementation, and ongoing enablement. If you're a technically versatile problem-solver with a passion for helping customers succeed and want to build a great company, we want to hear from you. We're looking for candidates who can grow across both domains: Infrastructure & DevOps Focused: Strong in infrastructure design, DevOps, software development, and performance analysis. Experience integrating products into mission-critical infrastructure with fluency in SLAs, system design, and incident response. Systems & Network Processing Focused: Focused on network processing, data flows, device/system software design, and hardware integration. Background working with high-performance middleware or analytical software. What You'll Do: Customer Engagement & Enablement • Guide customers through onboarding, ensuring they are fully prepared and proficient in using our solutions, • Conduct training sessions and develop enablement materials tailored to customer needs, • Proactively identify opportunities for customers to maximize platform value, • Act as a trusted technical advisor, offering best practices and solutions to common challenges Technical Implementation & Support • Provide hands-on support for solution setup and configuration within customer environments, • Support API and system integrations with existing customer infrastructure, • Diagnose and resolve technical issues, collaborating with engineering teams on complex problems, • Troubleshoot connectivity, performance, and deployment challenges Pre-Sales Technical Support • Support the sales team with domain expertise and technical credibility, • Demonstrate technical capabilities and solution fit during the sales process, • Design integration approaches and implementation plans for prospective customers Cross-Functional Collaboration • Gather customer feedback and relay insights to product and engineering teams, • Reduce workload on core engineering teams by handling customer-facing technical work, • Provide responsive, dedicated customer engagement to build long-term relationships What You'll Bring: • Strong background working with diverse technology stacks, with ability to quickly learn and adapt to new technologies, • Solid coding foundation with C++ and Python as must-haves; demonstrable understanding of robust software development principles, • Understanding of the interplay between software and hardware behavior and performance (GPUs, CPUs, networking), • Proficiency with Kubernetes for deploying, scaling, and managing containerized applications, • Genuine desire to help customers achieve their goals, with excellent communication and interpersonal skills; prior experience in deep, durable customer-facing technical roles, • Ability to thrive in a fast-paced, multidisciplinary, dynamic environment while managing multiple priorities Bonus Points: • Experience with additional programming languages (PyTorch, Rust, Go), • Familiarity with cloud platforms (AWS, Azure, GCP), • Experience with OpenStack and/or Slurm, • Knowledge of network operating systems and hardware (Arista, Cisco, Mellanox) and network engineering (especially switching), • Familiarity with AI/HPC networking protocols (RoCE and/or InfiniBand), • Demonstrable experience with performance characterization and profiling, especially for processors, memory systems, and networks, • Experience with kernel debugging, • Experience with LLM deployments, even at small scale, • Background in infrastructure design, SLAs, system design, and incident response, • Field Applications Engineering or similar hardware-focused customer engineering experience Why Join Us? Competitive pay & perks –because great work deserves great rewards. Work on your terms – flexible hours and remote-friendly culture. Fast lanes, no red tape – flat hierarchies and rapid decision-making Make it happen - your ideas aren’t just heard – they become reality. Right place, right time –be part of our growth story and build a career-defining legacy. Globality design – work with a diverse, international team across Germany and the US. Work with the best – work alongside exceptional engineers and raise the bar together. Turbalance is an equal opportunity employer. We value and celebrate diversity while fostering an inclusive environment. We are committed to providing a workplace free from discrimination or harassment, regardless of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability.

If you’re hands on with modern data platforms, cloud tech, and big data tools and you like building solutions that are secure, repeatable, and fast, this role is for you. As a Senior Data Engineer, you will design, build, and maintain scalable data pipelines that transform raw information into actionable insights. The ideal candidate will have strong experience across modern data platforms, cloud environments, and big data technologies, with a focus on building secure, repeatable, and high-performing solutions. Responsibilities: • Design, develop, and maintain secure, scalable data pipelines to ingest, transform, and deliver curated data into the Common Data Platform (CDP)., • Participate in Agile rituals and contribute to delivery within the Scaled Agile Framework (SAFe)., • Ensure quality and reliability of data products through automation, monitoring, and proactive issue resolution., • Deploy alerting and auto-remediation for pipelines and data stores to maximize system availability., • Apply a security first and automation-driven approach to all data engineering practices., • Collaborate with cross-functional teams (data scientists, analysts, product managers, and business stakeholders) to align infrastructure with evolving data needs., • Stay current on industry trends and emerging tools, recommending improvements to strengthen efficiency and scalability. Qualifications: • Bachelor’s degree in Computer Science, Information Systems, or related field (or equivalent experience)., • At least 3 years of experience with Python and PySpark, including Jupyter notebooks and unit testing., • At least 2 years of experience with Databricks, Collibra, and Starburst., • Proven work with relational and NoSQL databases, including STAR and dimensional modeling approaches., • Hands-on experience with modern data stacks: object stores (S3), Spark, Airflow, lakehouse architectures, and cloud warehouses (Snowflake, Redshift)., • Strong background in ETL and big data engineering (on-prem and cloud)., • Work within enterprise cloud platforms (CFS2, Cloud Foundational Services 2/EDS) for governance and compliance., • Experience building end-to-end pipelines for structured, semi-structured, and unstructured data using Spark.

Principal Product Manager, Growth GoodLeap is a technology company delivering best-in-class financing and software products for sustainable solutions, from solar panels and batteries to energy-efficient HVAC, heat pumps, roofing, windows, and more. Over 1 million homeowners have benefited from our simple, fast, and frictionless technology that makes the adoption of these products more affordable, accessible, and easier to understand. Thousands of professionals deploying home efficiency and solar solutions rely on GoodLeap’s proprietary, AI-powered applications and developer tools to drive more transparent customer communication, deeper business intelligence, and streamlined payment and operations. Our platform has led to more than $27 billion in financing for sustainable solutions since 2018. We’re looking for a Principal Product Manager who can architect the growth engine for our consumer products and then roll up their sleeves to make it real. In this role, you won’t just shape how users convert, activate, form habits, and return; you’ll build the underlying systems and run the experiments that drive those outcomes week after week. You’ll bring clarity to ambiguous problems, align cross-functional teams around the levers that matter, and personally deliver the tests, features, and optimizations that move the metrics that matter. This role demands someone who can think in systems, operate at strategic altitude, and execute with the urgency and precision of a hands-on builder. Essential Job Duties and Responsibilities • Define the lifecycle and conversion product strategy across consumer surfaces and directly execute improvements to sign-up, first-use flows, and intent pathways., • Architect the activation model (states, signals, behaviors) and translate it into shipped onboarding, guidance, and personalization features., • Design and evolve engagement loops that drive early habit formation and long-term retention, tuning both product surfaces and lifecycle channels., • Own the re-engagement and resurrection strategy, building targeted in-product re-entry paths and coordinating cross-channel triggers that restore momentum., • Lead the experimentation tooling and plans, crafting hypotheses, defining instrumentation, running high-velocity tests, and driving systematic rollout of successful patterns., • Conduct deep funnel analysis, synthesize insight, and identify leverage points that inform both roadmap priorities and continuous optimization work., • Partner closely with engineering, design, analytics, and marketing growth to align on KPIs, coordinate execution, and ensure cohesive lifecycle experiences across channels., • Communicate strategy, insights, tradeoffs, and outcomes with clarity, precision, and high signal to stakeholders and senior leadership. Required Skills, Knowledge, and Abilities • 8–12+ years of product management experience with deep expertise in growth, activation, lifecycle, or conversion optimization., • A track record of driving measurable outcomes, pairing strong product intuition with hands-on experimentation and analysis., • Fluency in growth frameworks, funnel instrumentation, segmentation, and behavioral analytics., • Ability to simplify complex systems, bring clarity to ambiguity, and influence partners across product, engineering, data, design, and marketing., • High-signal communication: concise, structured, and calibrated for leadership., • Experience in consumer applications, fintech, home management, marketplaces, or trust-centric consumer products., • Familiarity with personalization systems, recommendation engines, or predictive models., • Comfort running self-serve analyses (SQL or similar). $215,000 - $250,000 a year In addition to the above salary, this role may be eligible for a bonus and equity.

Responsibilities: • Own program business and technical outcomes end to end, ensuring direct measurable business impact, • Lead large scale cross functional teams, who often have competing priorities, to deliver quality and impactful business or technical outcomes, • Measure quantifiable impact of the outcomes implemented and create well defined KPIs to ensure successful execution and sustainable improvement., • Enables structure and clarity in ambiguous problem spaces, driving decisions and mitigating risks even on ambiguous asks with incomplete data., • Maintain a deep understanding of the solution being built, identifying and removing upstream/downstream dependencies, • Ability to act as a force multiplier: mentoring other TPMs, introducing scalable processes, and driving organizational efficiency at the company level. What we look for: • 8+ years of experience in driving strategic technical initiatives across many functions, influencing stakeholders VP+, • Experience program management frameworks and practices, • Deep expertise in one or more of the following areas (Infrastructure, Security, and/or Business domains), • Experience in Fit Gap Analysis, leading design and technical trade off conversations to a closure, • Demonstrate an advanced ability to define and break down ambiguous and complex business problems, • Communicate complex ideas with authority, influencing stakeholders including client's executives and department leadership., • Experience in the enterprise software industry, SaaS and B2B experience preferred., • Comfortable and thrive in a rapidly scaling and dynamic startup environment, • Bachelor's Degree required

* This is a 6-month engagement with good possibility of conversion to FTE* Onsite role in San Francisco with optional 4 days in-office with 1 day work from home if desired, Office location is San Francisco (bartable). Our really cool client is the leading provider of daily Earth imaging data and insights, helping organizations harness change for action with a multidimensional view of our changing planet. Job Overview We are seeking a detail-oriented IT Support Technician to manage our IT infrastructure and provide critical technical support to our organization. Key Responsibilities Provide User Support for Mac and Windows laptops including commissioning and de-commissioning and coordinating equipment repairs and replacement Provide administrative support for Okta, NinjaOne, Jamf, and Jira/Confluence (will train) Setup and maintain conference room equipment (A/V, Polycom) Inspect, document, and maintain company IT equipment and hardware Coordinate with vendors for hardware/software procurement Perform physical equipment audits and update inventory tracking systems Diagnose and troubleshoot hardware and software issues Triage and resolve technical support tickets efficiently and accurately Maintain detailed logs of all technical interventions and equipment status Required Skills 2-4 years of technical experience troubleshooting for Mac and Windows Proficiency in inventory management systems Basic networking and hardware maintenance knowledge Excellent organizational and documentation skills Ability to prioritize and manage multiple support tickets simultaneously Preferred Skills Associate's degree in Information Technology, Computer Science, or related field CompTIA A+ certification is a nice to have Experience with asset management software Experience administrating Okta, NinjaOne, Jamf, and Jira/Confluence Work Conditions Full-time, 40 hours per week Occasional overtime may be required Physical demands include lifting equipment up to 25 pounds Physical Requirements Ability to work in a technical environment Comfortable working at computer workstations Capable of moving and positioning IT equipment Requires standing, walking, and light physical labor Note: This is a 6-month contract position with potential for extension and/or conversion to FTE based on performance and organizational needs.

A growing team San Francisco is building the next generation of emotionally intelligent AI systems that combine language, voice, emotion, and visuals to make human and AI interaction feel natural. As a Founding Engineer, you will work directly with the founders to define, build, and scale the product from its core, applying LLMs and multimodal models to create technology that feels alive and human. What you will be doing • Building and scaling multimodal AI systems that integrate LLMs, speech, and visual components, • Designing and developing internal developer tools to accelerate experimentation, • Working across Python to connect backend model serving with interactive frontends, • Shaping infrastructure, architecture, and product direction from the earliest stage What we are looking for • Strong background in Python, • Experience with LLMs, embeddings, vector databases, or related AI frameworks, • Startup mindset with experience as an early hire, founder, or technical lead, • Excited by the intersection of language, voice, and human machine interaction, • Ideally a background in ROS, ROS2, Streaming, or Real Time Systems Why join • Meaningful early equity in a company, • The chance to shape both product and culture from the ground up If you are curious about building AI that feels as well as thinks, I would love to hear from you. To apply or learn more: message Jake Denman at Breakthrough Talent.

Enterprise Solution Architect Location: San Francisco (Hybrid) Type: Full-time Salary: $180-200k A well-established organization with complex systems is hiring a Solution Architect to lead enterprise architecture efforts across business and technology domains. In this role, you’ll design scalable systems, define integration strategies, and guide cloud transformation initiatives. Responsibilities: • Lead architecture design for enterprise-level systems, • Define and document technical and business requirements, • Drive cloud-first and hybrid strategies (Azure preferred), • Evaluate internal solutions vs. vendor platforms, • Support implementation across dev, infrastructure, and business teams, • Translate between technical teams and business stakeholders, • Create documentation (workflows, user stories, diagrams, etc.) What We’re Looking For: • 10+ years of experience in enterprise architecture or IT consulting, • Deep understanding of cloud architecture and hybrid cloud environments, • Proven ability to lead cross-functional tech projects, • Strong communicator, comfortable interfacing with executives and developers alike, • Experience in large, data-sensitive or regulated environments a plus

Job Title: Project Manager – CCTV Project Management Services Location: Onsite – San Mateo, CA Job Type: Contract (Full-Time) Overview: We are seeking an organized and proactive Project Manager to oversee a CCTV project for a regional public agency in the Bay Area area. This full-time, onsite contract role involves managing internal teams, stakeholders, and subcontractors to ensure projects are delivered on time, on budget, and to scope. Responsibilities: • Serve as the primary point of contact throughout the project lifecycle., • Lead project planning, kickoffs, task assignments, and status meetings., • Oversee deployment, upgrade, and integration of CCTV infrastructure., • Manage subcontractor deliverables, timelines, and documentation., • Coordinate design submittals, schedule adjustments, change orders, and risk mitigation., • Ensure compliance with operational, safety, and data security standards., • Track and report project milestones and key metrics., • Support contract administration, invoicing, and close-out processes. Requirements: • Bachelor’s degree in Engineering, IT, Project Management, or related field., • 2+ years of project management experience, ideally in transit, public infrastructure, or security systems., • Experience managing CCTV, access control, or public safety system projects., • Familiarity with government/public sector compliance and contract requirements., • Proficiency with project management tools (e.g., Microsoft Project, Monday.com, Asana)., • Strong leadership, communication, and stakeholder management skills. Preferred: • Experience working with public sector or regional transit agencies., • Understanding of surveillance systems, data storage, and video monitoring., • Ability to manage both field and remote technical teams.

Job Title: Senior Software Engineer (Full-Stack) Employment Type: Full-time Salary: $175K – $250K per annum Location: San Francisco (Hybrid, 2 days/week) Start Date: ASAP Visa: No H1B sponsorship available About Client: Our client is a Series A start up, growing quickly as they onboard new customers and scale platform, using AI to remake the way consumer underwriting is done, starting with residential real estate. Most consumers' most important financial information is locked up in documents, and we’ve built technology that is able to harness this data to help make better lending decisions. We’ve coupled this underwriting agent with advanced document and identity anti-fraud, and we’re working toward democratizing sophisticated consumer underwriting for all. About the Role Seeking a Staff Software Engineer with 7–8+ years of experience to lead the re-architecture of our core platform as we scale rapidly. After two years of fast-paced product development, our system has grown into a collection of disparate services, and we need a senior IC to unify, rebuild, and streamline the foundation. This role reports directly to the CTO and plays a critical part in shaping the technical future of the company. What We’re Looking For • 7–8+ years of professional experience as a strong individual contributor., • Deep expertise in systems design, architectural refactoring, and scaling codebases beyond the “fast startup” phase., • Experience at a high-growth startup (Seed → Series B/C) where engineering teams expanded meaningfully., • Strong full-stack or backend skills (Typescript, React, Node.js, Python preferred)., • Ability to navigate ambiguity, make sound technical decisions with incomplete context, and iterate quickly., • Frontend: Typescript, React, • Backend: Node.js, Python, • Databases: Postgres, BigQuery, Redis, • Cloud: GCP Seniority & Experience • 7+ years in full-stack software engineering (backend-leaning)., • Experience leading technical projects, refactoring code, and re-architecting systems., • History of progression or promotions within startup roles (e.g., to Staff/Principal level). Education • CS degree from a top 20 school What You’ll Do Architect & Rebuild the Core System • Re-architect major parts of the existing platform into a cleaner, scalable, and more maintainable system., • Refactor or remove unnecessary code to create a cohesive architecture., • Drive high-level technical decisions across backend and full-stack systems., • Collaborate with the CTO to define long-term technical direction., • Work with senior and junior engineers to implement new features and improve systems., • Lead system architecture for new workflows, including real-time ID, income, and document verification., • Integrate and maintain in-house ML models used for fraud detection and financial document understanding., • Improve the technical foundation powering our 70%+ automated approval/denial workflow. Why Join This is a rare opportunity to join a fast-scaling Series A company with real customers and traction. You’ll act as the technical adult in the room, refactoring, simplifying, and shaping the long-term architecture while influencing major product decisions. You will have a direct impact on the company’s core systems and help define the foundation for future growth.

Director of Investor Relations San Francisco, CA (On-site) Compensation: $150,000–$200,000 base salary + benefits + performance upside The Company A fast-growing real estate investment platform specializing in institutional-quality Multifamily & Student Housing assets is seeking a Director of Investor Relations to support its expanding national capital-raising efforts. The firm has an exceptional track record, a reputation for disciplined execution, and a growing pipeline of equity raises for new development & value-add opportunities. The culture is entrepreneurial, high-energy, & deeply relationship-driven, ideal for someone who thrives in a fast-paced environment & wants to grow with a scaling investment platform. The Role The Director of Investor Relations will work directly with the Founder to raise capital, manage existing investor relationships, and expand the firm’s network among family offices, high net worth individuals, & institutional partners. This is a highly visible, investor facing role suited for someone who combines financial knowledge with strong sales instincts, charisma, and relentless follow-through. This person will represent the firm externally, help shape investor messaging, prepare materials, maintain reporting structure, and manage a growing book of investors across the country. Key Responsibilities • Lead capital-raising efforts for active & upcoming Multifamily and Student Housing investments, • Build & maintain relationships with family offices, HNWIs, institutional partners & university-affiliated housing groups, • Represent the firm externally in meetings, events, conferences & investor presentations, • Develop compelling pitch materials, investor decks & reporting packages (quarterly updates, performance summaries, etc.), • Manage all investor communications, follow-ups, compliance documentation & CRM tracking, • Support due diligence processes with prospective equity partners, • Work closely with the Founder on strategic fundraising initiatives & investor targeting, • Travel regularly with the Founder for roadshows, meetings & capital partner visits, • Maintain detailed organization across reporting, documentation & investor data, • Serve as a cultural ambassador, representing the company with professionalism, energy & credibility Required Experience • Extensive experience in Investor Relations, Capital Markets, Fundraising, or Investments within Multifamily and/or Student Housing real estate, • Experience raising capital from family offices strongly preferred, • Background in Multifamily and/or Student Housing is a major advantage, • Proven ability to manage investor communications, reporting, & due diligence, • Strong sales instincts, charisma, confidence, & ability to tell a compelling story, • Highly organized with exceptional attention to detail, • Experience working alongside founders or principals in fast-paced, entrepreneurial environments, • Ability to thrive in a demanding, “always-on” culture that values grit, responsiveness & ownership Compensation: $150,000 - $200,000 base salary + benefits If you feel this is an opportunity you want to learn more about, feel free to use the LinkedIn prompt to apply or email directly to to explore further.

Systems Engineer - Video Intelligence Infrastructure - San Francisco About the Company A Series A Funded start-up who already have millions in recurring revenue are building next-generation AI infrastructure for video intelligence are looking for a Systems Engineer to join their team. What You'll Be Doing: • Design and engineer systems that handle compute, scheduling, and orchestration of complex ML + ETL pipelines, • Optimize hyper-fast distributed systems running at the scale of thousands of GPUs, • Build systems that process video data quickly, reliably, and cost-effectively at internet scale, • Develop robust internal tooling and CI/CD pipelines for rapid ML team iteration, • Focus on system uptime and performance optimization for mission-critical infrastructure What We're Looking For: • 3+ years building foundational data infrastructure, • Experience designing and maintaining pipelines that process petabytes of data, • Strong background developing CI/CD pipelines for ML-focused teams, • Excellent coding skills in Go and Python, • Independent contributor who leads by example What's In It For You • Competitive salary up to $250k, • Small, high-impact team with significant growth trajectory, • Opportunity to work with top AI video labs and collect world-class datasets Apply now for immediate consideration!

About the Company Fast-moving Web3 startup with experienced builders from top tech and crypto projects. Focused on shipping impactful, production-ready products. The Role Lead backend architecture and development for a new DeFi lending and debt protocol. Work on low-latency indexing, large-scale data pipelines, and trading infrastructure in close collaboration with technical leadership. Responsibilities • Design and build backend systems and data pipelines., • Develop trading and risk infrastructure., • Ensure code quality and best practices. Qualifications & Requirements • 3+ years building blockchain-integrated backends., • Experience with modern backend languages (Preferred Rust)., • DeFi experience a plus., • Must be based in San Francisco and willing to work in a hybrid setting.

Founding AI Engineer (YC-backed Voice + Text AI Startup) Location: San Francisco, CA (in person) Perks: Team housing available in San Francisco The Company Our client is a YC-backed seed-stage startup building the simulation, evaluation, and observability layer for voice and text AI agents. Their platform is already being used by enterprises and high-growth startups, including Fortune 500 companies, to ensure conversational AI agents perform safely, reliably, and at scale. With $4M raised from leading investors (including Floodgate and PeakXV) and revenue doubling every quarter since launch, they’re now hiring a Founding AI Engineer to join their core team in San Francisco. This is a chance to work alongside the founders, directly influence the product roadmap, and help define the technical foundation of a rapidly growing AI company. The Role This is a full-stack role with a strong AI focus. The ideal candidate is hands-on, deeply technical, and comfortable building across the stack. You’ll be designing systems that simulate, test, and measure AI agents in real time - powering the infrastructure that ensures AI products behave as intended. Responsibilities • Architect and develop systems that simulate, analyze, and evaluate conversational AI agents across voice and text., • Design scalable, resilient infrastructure on AWS (Lambda, EC2, WebSockets, SIP) to handle thousands of simultaneous real-time interactions., • Build and optimize pipelines that measure agent performance, detect failure modes, and enforce reliability and safety., • Ship production-grade code across frontend and backend systems with full ownership from design to deployment., • Collaborate directly with enterprise customers to build, test, and deploy solutions in real-world environments. Tech Stack Frontend: React, TypeScript, Next.js, Tailwind Backend: Python, FastAPI, Redis, Supabase Infrastructure: AWS (Lambda, EC2, WebSockets, CI/CD) Voice AI: LiveKit, Deepgram, Cartesia, ElevenLabs Text AI: Pydantic AI, OpenAI, agentic frameworks Ideal Profile • Full-stack engineer with strong fundamentals and a track record of shipping real products., • Excited by Voice AI, LLMs, and real-time AI systems., • Passionate about clean architecture, code quality, and efficient design., • Entrepreneurial mindset; thrives in fast-moving, high-ownership environments., • Strong communicator and collaborator who enjoys working closely with technical founders. Nice to Have • Experience in Voice AI, conversational agents, or LLM evaluation pipelines., • Prior work at a YC-backed startup or as a Founding Engineer., • Background in RAG systems, reinforcement learning, or multi-agent frameworks., • Strong product sensibility and eye for user experience or system aesthetics. Logistics • In-person only role in San Francisco., • US work authorization required (open to OPT if no onboarding delay)., • Interview process: informal culture fit call → practical system design exercise → optional technical validation → short paid work trial. Why It’s Worth Your Time This company is defining a new category for AI quality assurance - engineering trust into how AI agents are tested before deployment. You’ll be working with high-profile customers, advanced AI systems, and founders who have already proven their ability to ship, sell, and scale. If you want to build at the intersection of AI safety, infrastructure, and real-world impact, this is an opportunity to join a YC startup early, take real ownership, and grow with the company. To express interest or learn more, reach out directly to Josh Kelly at HartleyCo, the retained search partner for this hire.

We’re hiring for our client, a fast-growing voice-AI company based in San Francisco. We seeking a Founding Infrastructure / Platform Engineer to own the cloud, data, and deployment foundations powering next-generation AI systems. You’ll design scalable AWS environments, implement Infrastructure-as-Code with Terraform, build secure and observable systems, and collaborate closely with AI/ML engineers to take new models from concept to production. This is an onsite role (5 days a week in San Francisco) and ideal for someone who thrives in a hands-on, high-ownership environment where infrastructure reliability directly drives product quality. What You’ll Do • Design and operate AWS production infrastructure using Terraform with secure networking, automated rollbacks, and reliable defaults., • Build and maintain data pipelines for ingestion, transformation, and model training., • Partner with AI/ML teams to deploy and monitor inference and evaluation services in production., • Manage PostgreSQL performance and reliability, including schema design, indexing, and pgvector for ML workloads., • Own CI/CD workflows and environment hygiene using GitHub Actions or similar., • Implement robust observability across services and data jobs (metrics, tracing, alerting, and incident response)., • Drive cost-efficient scaling while maintaining performance and uptime across systems., • 6-10+ years in Infrastructure, Platform, or SRE roles with full production ownership., • Deep expertise with AWS and Infrastructure-as-Code (Terraform, Pulumi, or CloudFormation)., • Strong programming skills in Python or TypeScript, with scripting experience (Bash/YAML)., • Proven experience with containers and orchestration (Docker, Kubernetes, or ECS)., • Hands-on experience designing and maintaining data pipelines (batch or streaming)., • PostgreSQL at scale, ideally with exposure to embeddings or pgvector., • Strong observability and on-call practices (metrics, tracing, alerting, incident management)., • Excellent collaboration with AI/ML and product teams; clear communication of risk and trade-offs., • Experience supporting ML model training and inference pipelines., • Prior work with low-latency systems, voice interfaces, or recommendation engines. You’ll be joining as a founding-calibre engineer, shaping the infrastructure blueprint that supports advanced AI matching and voice systems. Expect autonomy, direct collaboration with technical founders, and the chance to build scalable, high-impact systems from the ground up.

About Us: Turbalance AI is an innovative, emerging startup that transforms AI laws. We are a team of passionate problem-solvers who believe in what we’re building. We constantly push boundaries and embrace our inner nerds as we find new ways to tackle complex challenges. You will find a dynamic work environment here, with flat or even nonexistent hierarchies and the chance to take on responsibility from day one. About the Role: We're looking for a Solutions Architect, GTM to join our growing team! In this role, you'll be a key technical partner for our customers across the entire customer lifecycle—from pre-sales technical support through onboarding, implementation, and ongoing enablement. If you're a technically versatile problem-solver with a passion for helping customers succeed and want to build a great company, we want to hear from you. We're looking for candidates who can grow across both domains: Infrastructure & DevOps Focused: Strong in infrastructure design, DevOps, software development, and performance analysis. Experience integrating products into mission-critical infrastructure with fluency in SLAs, system design, and incident response. Systems & Network Processing Focused: Focused on network processing, data flows, device/system software design, and hardware integration. Background working with high-performance middleware or analytical software. What You'll Do: Customer Engagement & Enablement • Guide customers through onboarding, ensuring they are fully prepared and proficient in using our solutions, • Conduct training sessions and develop enablement materials tailored to customer needs, • Proactively identify opportunities for customers to maximize platform value, • Act as a trusted technical advisor, offering best practices and solutions to common challenges Technical Implementation & Support • Provide hands-on support for solution setup and configuration within customer environments, • Support API and system integrations with existing customer infrastructure, • Diagnose and resolve technical issues, collaborating with engineering teams on complex problems, • Troubleshoot connectivity, performance, and deployment challenges Pre-Sales Technical Support • Support the sales team with domain expertise and technical credibility, • Demonstrate technical capabilities and solution fit during the sales process, • Design integration approaches and implementation plans for prospective customers Cross-Functional Collaboration • Gather customer feedback and relay insights to product and engineering teams, • Reduce workload on core engineering teams by handling customer-facing technical work, • Provide responsive, dedicated customer engagement to build long-term relationships What You'll Bring: • Strong background working with diverse technology stacks, with ability to quickly learn and adapt to new technologies, • Solid coding foundation with C++ and Python as must-haves; demonstrable understanding of robust software development principles, • Understanding of the interplay between software and hardware behavior and performance (GPUs, CPUs, networking), • Proficiency with Kubernetes for deploying, scaling, and managing containerized applications, • Genuine desire to help customers achieve their goals, with excellent communication and interpersonal skills; prior experience in deep, durable customer-facing technical roles, • Ability to thrive in a fast-paced, multidisciplinary, dynamic environment while managing multiple priorities Bonus Points: • Experience with additional programming languages (PyTorch, Rust, Go), • Familiarity with cloud platforms (AWS, Azure, GCP), • Experience with OpenStack and/or Slurm, • Knowledge of network operating systems and hardware (Arista, Cisco, Mellanox) and network engineering (especially switching), • Familiarity with AI/HPC networking protocols (RoCE and/or InfiniBand), • Demonstrable experience with performance characterization and profiling, especially for processors, memory systems, and networks, • Experience with kernel debugging, • Experience with LLM deployments, even at small scale, • Background in infrastructure design, SLAs, system design, and incident response, • Field Applications Engineering or similar hardware-focused customer engineering experience Why Join Us? Competitive pay & perks –because great work deserves great rewards. Work on your terms – flexible hours and remote-friendly culture. Fast lanes, no red tape – flat hierarchies and rapid decision-making Make it happen - your ideas aren’t just heard – they become reality. Right place, right time –be part of our growth story and build a career-defining legacy. Globality design – work with a diverse, international team across Germany and the US. Work with the best – work alongside exceptional engineers and raise the bar together. Turba AI is an equal opportunity employer. We value and celebrate diversity while fostering an inclusive environment. We are committed to providing a workplace free from discrimination or harassment, regardless of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability.

Staff Software Engineer (IC) – High-Growth AI/FinTech Startup Full-time · Hybrid (San Francisco) $220k–$300k + equity A well-funded, rapidly scaling startup in the AI-driven fintech space is looking for an experienced Staff Engineer to take ownership of reshaping the foundations of their core platform. After two years of fast iteration and customer growth, the product has evolved into a set of independently built services. They now need a senior IC who can bring coherence, scalability, and long-term architectural stability as the engineering team expands. This is a high-impact individual contributor role working directly with the CTO. You’ll set technical direction, oversee major system redesigns, and help prepare the platform to support significantly larger usage, customer demands, and a future 20–40+ engineer organisation. What You’ll Be Doing Lead architectural transformation • Redesign major components into a unified, maintainable, scalable system., • Remove legacy code, reduce fragmentation, and introduce sound architectural patterns., • Define technical standards and guide the broader engineering team towards consistent, high-quality design. Drive high-leverage engineering work • Partner closely with the CTO on long-term technical strategy., • Lead development of workflow systems for real-time identity, income, and document verification., • Strengthen the infrastructure that powers the company’s automated decisioning engine (currently >70% auto-approval/denial rate)., • Support integrations with internal ML models that perform fraud detection and financial document understanding. Influence and elevate the engineering culture • Collaborate with senior and junior engineers across backend, full-stack and infra., • Improve developer velocity and support onboarding of larger enterprise customers., • Help the company scale from an early-stage engineering organisation to a mature, high-performance team. What They’re Looking For • 7–8+ years’ experience as a strong backend or full-stack IC., • Proven ability to re-architect complex systems and scale codebases beyond the “early startup” phase., • Experience in a fast-growing startup (Seed → A → B or similar) where the engineering org expanded meaningfully., • Depth in modern backend or full-stack development (ideal: TypeScript, React, Node.js, Python)., • Someone who thrives in ambiguity, makes pragmatic technical decisions, and moves quickly., • A high engineering bar and the ability to raise the standards of those around you. Tech Environment • Frontend: TypeScript, React, • Backend: Node.js, Python, • Data: Postgres, BigQuery, Redis, • Cloud: GCP, • Hybrid working model; candidates must be based in or willing to relocate to the San Francisco Bay Area. (Hybrid flexibility available for senior candidates.) Why This Role Is Exciting • Join a business with strong revenue, real customers, and top-tier backers., • Have ownership of mission-critical architecture, not just feature work., • Work alongside a highly capable CTO and shape the company’s technical trajectory for years to come., • Build systems that support real-world decisions for millions of end-users., • Competitive salary, meaningful equity, and the chance to make a long-term technical mark.

AI / Machine Learning Engineer – Agentic AI & LLM Systems We’re partnered with a pioneering AI organisation pushing the boundaries of Agentic AI — building systems where LLMs reason, act, and collaborate autonomously to drive real-world outcomes. Designing the frameworks, tools, and data loops that allow intelligent agents to think, plan, and improve themselves — transforming raw model power into adaptive, high-performing AI systems. What You’ll Do: • Build Agentic Systems – Develop and optimise LLM-based agents that can reason, plan, and execute multi-step tasks autonomously., • Enhance LLM Reasoning – Apply reinforcement learning, tool use, and reflection techniques to strengthen decision-making and contextual understanding., • Design Scalable Frameworks – Create data pipelines, annotation tools, and evaluation flywheels that accelerate model iteration and feedback loops., • Collaborate with Research Teams – Translate experimental findings into production-grade systems that extend the autonomy and reliability of agents., • Run Experiments End-to-End – Own your compute environment (e.g. Jupyter, Colab, Databricks) and iterate on large-scale LLM training and evaluation. What You’ll Bring: • 4+ years’ experience in Machine Learning or AI, with exposure to LLM agent systems, tool-use frameworks, or generative AI., • Advanced proficiency in Python and ML frameworks such as PyTorch or TensorFlow., • Hands-on experience developing or fine-tuning LLaMA, GPT, or similar foundation models., • Understanding of agentic architectures, chain-of-thought reasoning, and memory/reflection mechanisms., • Proven ability to debug, optimise, and scale ML experiments and compute pipelines., • MSc or PhD in AI, Computer Science, or related field. Please apply for immediate consideration.

Amber Bio is a biotechnology company pioneering new gene editing modalities using multi-kilobase edits to reach previously undruggable patient populations. Founded by pioneers in the CRISPR field from leading institutions for gene editing research, the company is developing a first-of-its-kind RNA editing platform that can correct thousands of bases at once, thereby correcting genetic mutations safely and reversibly. If you are interested in building a new frontier in genetic medicine, we welcome you to apply. Job Description: Research Associate III/ Senior Research Associate (Biodesigner), Assay Development / Bioanalytical Development Position Overview: The Research Associate III/ Senior Research Associate in Assay Development and Bioanalytical Development will play a critical role in the development, qualification, and validation of bioanalytical methods to support our RNA editing programs. The successful candidate will work under the guidance of an assay development scientist to develop custom assays for the analysis of samples, including AAVs, cells, and tissues. This role also involves drafting key documents such as Standard Operating Procedures (SOPs) and method development reports. Key Responsibilities: • Method Development, Qualification, and Validation:, • Support the development, qualification, and validation of bioanalytical methods in accordance with regulatory guidelines., • Develop, optimize, and execute robust bioanalytical methods for the characterization, release, and stability testing of Amber's gene therapy., • Sample Analysis:, • Support drug absorption, distribution, metabolism, and excretion studies., • Perform analysis of AAVs, cells, and tissues to support various stages of research and development., • Lead efforts to streamline and optimize sample storage and processing, as well as establishing and maintaining critical reagent stocks and cell banks., • Documentation Reporting:, • Draft and review key documents such as SOPs, method development, and sample analysis reports., • Maintain accurate and detailed records of all experiments and analyses., • Collaboration & Communication, • Collaborate with manufacturing and preclinical teams to support pipeline needs., • Communicate and present findings clearly to internal stakeholders. Qualifications: • B.A./B.S. or M.S. in Molecular Biology, Biochemistry, Analytical Chemistry, or a related field., • 3+ years of experience in bioanalytical and assay development in the biotechnology or pharmaceutical industry., • Demonstrated strong proficiency in a wide range of molecular biology techniques such as molecular cloning, DNA/RNA extractions, RT-qPCR, ddPCR, and ELISA., • Experience with cell-based assays and detection methods such as fluorescence, luminescence, and ECL., • Hands-on experience using laboratory automated systems (e.g., liquid handlers, extraction robotics, etc.)., • Background in RNA-based therapies is highly desirable., • Experience writing SOPs and reports supporting IND filings (e.g. development, qualification sample analysis reports, etc.), • Knowledge of FDA and ICH guidelines for method development, qualification, and validation., • Prior history in compiling and analyzing data and generating reports that are routinely presented to project teams., • Ability to work effectively in a collaborative, fast-paced environment. Preference will be given to those who display: • High motivation, with a strong work ethic and dedication to generating impact., • Attention to detail, with the ability to extract deep insights from data., • Ability to go from ideation to data in an independent fashion., • Long-term personal vision with defined career goals., • Team-oriented thinking., • Demonstrated excellence in small team environments, including a “no task is too small” attitude. If you have a passion for advancing gene editing technologies and desire to be part of a pioneering biotech company, we encourage you to apply and join our ambitious team. Please apply directly through LinkedIn. Amber Bio is an equal-opportunity employer and encourages applications from candidates of diverse backgrounds. We value diversity and are committed to creating an inclusive and supportive work environment for all employees.

Location: remote Duration: 1 yr set project of SQL migration-no extension Can be EST or PST based. 3 must haves on resume: SQL experience, AWS, NoSQL experience Minimum education requirement: Bachelors in Engineering seeking a motivated, experienced, and skilled engineer to join our Connected Delivery platform team. This platform is responsible for enabling the discovery, download, and installation of all the products, services, and third-party apps. You'll be responsible for migrating data from a legacy system to Next Gen version of it. As an ideal candidate, you’ll have experience with SQL and scripting to leverage AWS DMS for migrating data from NoSQL to SQL. Responsibilities Migrate data from MongoDB to PostgresSQL Migrate data from MySQL to PostgresSQL Primary duty is to Develop SQL queries Develop test scripts to validate data migration, using languages like NodeJS,python etc Minimum Qualifications Educational Background: Bachelor's degree in Computer Science or a related technical field. A Master's degree in Computer Science or a related field is preferred. Professional Experience: Over 7 years of professional experience in developing scalable, distributed applications. Technical Expertise: Strong proficiency in writing complicated SQL queries and programming languages such NodeJS. Cloud Solutions: Strong hands-on expertise with AWS. API Development: Proven experience in designing and building RESTful APIs using Microservices architecture.

Slice Talent partered up with AI Security Start-Up - $38 million in Series A - VC Backed About US We’re building the identity and access foundation for the agent-native era—a new generation of systems where AI agents act on behalf of people and organizations to perform complex, real-time tasks. Our mission is to empower developers and enterprises to build, deploy, and trust agentic applications with the same confidence they have in traditional software—through secure, scalable, and context-aware infrastructure. We’re developing real-time, in-band guardrails that make it safe to move from human-driven workflows to fully autonomous, AI-powered systems. The goal: enable builders and security teams to operate with visibility, control, and trust as agents transition from experimentation to production. We’re a small, distributed team of repeat founders and builders who’ve worked across leading developer, infrastructure, and security platforms. Joining us now means helping shape not just the product, but the company itself. Who We’re Hiring We’re expanding our engineering team and hiring Front End, Backend Engineers and Full Stack Engineers who want to help build the secure foundation for the agent-native future. You’ll work across distributed systems, developer platforms, and AI-driven architectures to create the primitives that power trusted agentic applications. What You’ll Do • Design, build, and scale backend systems and APIs that serve as the backbone for AI-driven workflows., • Contribute to core platform components that enable real-time identity, access, and control., • Collaborate with product, design, and AI research teams to shape new developer-facing capabilities., • Implement secure, reliable systems for high-scale environments., • Help define engineering culture and best practices as an early technical leader. What We’re Looking For • 4+ years of experience in front-end, backend or full-stack engineering (or equivalent impact)., • Proficiency in languages such as React, Go, Python, or TypeScript., • Strong understanding of distributed systems, APIs, and cloud architecture., • Experience with modern frameworks and developer tooling (React, Next.js, GraphQL, etc.)., • Deep interest in AI infrastructure, agent systems, or security., • Curiosity, craftsmanship, and a bias for ownership—you thrive in dynamic environments. Why Join Us • Impact: Shape the technical foundation of a company building core infrastructure for the AI-native world., • Growth: Join at a pivotal Series B stage—backed, scaling, and shipping fast., • Autonomy: Build across a modern stack with full ownership of your systems., • Team: Work alongside deeply technical peers who care about quality, trust, and developer experience., • Purpose: Help unlock the agent economy by making it safe and scalable for the world to adopt.

Senior AI Engineer - Video Search (Applied Research & Product) Remote - United States About the Company We’re partnering with a U.S-based applied AI company building next-generation real-time video understanding systems deployed at scale across enterprise, government, and public environments. The platform combines cutting-edge multimodal AI, vector search, and high-performance inference pipelines to make visual data searchable, interpretable, and actionable in real time. This is a chance to join a well-funded, mission-driven organization with over tens of thousands of active camera streams and a rapidly growing R&D team pushing the boundaries of multimodal retrieval and AI systems design. The Role We’re looking for a Senior AI Engineer to lead the applied research and productionization of our video search and retrieval stack - connecting natural-language queries to high-dimensional video representations with real-time performance. You’ll work at the intersection of deep learning research, scalable systems, and GPU-optimized inference, owning models and pipelines end-to-end from training through deployment. What You’ll Do • Design and build natural-language-to-video retrieval systems using state-of-the-art architectures (e.g., V-JEPA, CLIP, SigLIP, Video-LLMs, ViViT, TimeSformer)., • Develop temporal localization and video summarization capabilities with fine-grained moment-level embeddings., • Stand up vector search infrastructure (FAISS, Milvus, pgvector, Pinecone) with optimized sharding, caching, and hybrid retrieval strategies., • Optimize GPU inference and serving pipelines using ONNX Runtime, TensorRT, or ROCm for low-latency performance., • Drive multi-GPU training and distributed serving (FSDP, ZeRO, DDP, NCCL/RCCL) with strong understanding of parallelization and quantization techniques., • Collaborate with MLOps, backend, and product teams to deliver production-ready AI features at scale., • Define and track key retrieval and relevance metrics (R@K, mAP, nDCG) and run live A/B evaluations., • Mentor junior engineers, document design decisions, and drive innovation through rigorous experimentation. What We’re Looking For • 6-10+ years of experience in machine learning or applied AI, with 4+ years focused on video understanding, multimodal retrieval, or transformer-based models., • Proficiency in PyTorch and deep learning frameworks; experience with video backbones, contrastive training, and representation learning., • Strong understanding of vector databases, ANN search (HNSW, IVF), and embedding pipelines., • Demonstrated ability to ship high-performance AI systems with GPU optimization, ONNX/TensorRT, or ROCm pipelines., • Experience with distributed training, CI/CD for ML, and scalable data pipelines (MLflow, W&B, K8s, Docker)., • Excellent communication skills and a collaborative, low-ego approach to problem solving. Nice-to-Haves • Experience with temporal detection, video tracking, or re-ID., • Exposure to Video-RAG or structured retrieval (metadata + knowledge graph)., • Background in real-time or edge inference systems., • Interest in privacy-preserving or regulated AI systems. Compensation & Logistics • Compensation: Competitive base salary + bonus + equity, • Location: Fully remote (U.S. based) Why Join • Build real-world AI that operates at scale and latency levels few companies ever reach., • Collaborate with world-class engineers and researchers in a fast-paced, mission-oriented environment., • Work on deep technical challenges - multimodal search, retrieval, inference optimization - with real-world outcomes.

Montash are currently partnered with a YC backed Voice AI start up based in Bay area that is looking for a Founding Machine Learning Engineer to join the expanding team. Their customer base is rapidly expanding, so they're scaling aggressively over the next 12 months, making this hire absolutely critical. In the last year alone, their headcount has grown 133%! 🚀 What You’ll Do: • Train and fine-tune LLMs and audio models for production speed, accuracy, and reliability, • Build datasets and define rigorous benchmarks to evaluate model performance, • Deploy models to production and monitor performance at scale, • Design and run scalable human evaluation pipelines, • Improve ML infrastructure for rapid experimentation and continuous delivery Why Join! • Massive impact - founding ML engineer shaping the core product, • Lightning-fast growth: $5M - $30M ARR in under a year, • Work with elite builders in a tight, high-ownership team, • Opportunity to define the future of voice AI at scale Apply immediately to find out more!

Our Client is building a next-generation voice-AI platform that powers curated introductions, agentic scheduling, and real-time feedback. We’re seeking a founding-calibre ML Engineer to own our machine learning systems end-to-end — from data pipelines and model training to evaluation and low-latency inference. You’ll design, build, and ship ranking and recommendation systems that make every match feel more personal and improve week after week. What You’ll Do • Design and deploy multi-stage retrieval and re-ranking systems for compatibility, search, and personalisation., • Build and maintain data pipelines for training, evaluation, and reporting — ensuring reproducibility and quality., • Train and fine-tune LLMs/encoders, manage model versioning, rollout, and rollback., • Run offline metrics (AUC, NDCG, MAP) and online A/B tests to measure real-world impact., • Build inference services that meet tight latency and cost targets, with caching and fallback strategies., • Implement guardrails and monitoring for drift, bias, and reliability; define model SLOs and alerts., • Collaborate across ML, platform, and product teams to turn voice and text signals into better matches. Tech Stack Python • PyTorch • Hugging Face • OpenAI/Anthropic APIs • pgvector / FAISS / Pinecone • Postgres Airflow / Prefect / dbt • AWS (S3, ECS/Kubernetes, Lambda) • CI/CD (GitHub Actions) What We’re Looking For • 3+ years of experience in applied ML (ranking, search, or recommendations)., • Deep Python skills and experience with PyTorch or TensorFlow (Hugging Face a plus)., • Hands-on with embeddings, LLMs, and vector search (pgvector, FAISS, Pinecone, Weaviate)., • Proven ability to take models from notebook to production — APIs, CI/CD, monitoring, rollback., • Experience building data pipelines with Airflow, Prefect, Dagster, or dbt., • Comfortable owning latency, cost, and reliability for inference services., • Must be authorised to work in the U.S. and onsite 5 days/week in San Francisco. Bonus Points • Experience with real-time or voice systems, retrieval/re-ranking stacks, or feature stores., • Prior work at consumer AI, dating, or recommendation startups where you shipped ranking systems.

Machine Learning Engineer – Applied AI Systems San Francisco, CA – On-site $170k–$250k + equity A venture-backed AI company is expanding its engineering group and looking for a Machine Learning Engineer to help push forward a new generation of decision-support products used in complex, data-heavy environments. The team builds systems that analyse large, unstructured datasets and surface insights that help organisations make high-stakes choices more consistently. You’ll join a small group of engineers and researchers working on applied ML problems that combine pattern recognition, anomaly detection, language modelling and real-time data interpretation. This is a hands-on engineering role where you’ll prototype, train, evaluate and productionise models that directly shape the product experience. What you’ll work on • Designing and implementing ML pipelines for processing a wide variety of semi-structured inputs., • Training and adapting large language models to handle classification, extraction and reasoning tasks., • Developing methods to identify irregularities, inconsistencies and unusual patterns within customer-supplied data., • Improving the performance, latency and reliability of deployed models at scale., • Collaborating with software engineers to integrate new capabilities into customer-facing features., • Exploring new approaches in multimodal modelling, retrieval-augmented generation and adaptive learning systems. Who you might be • Someone with professional experience in ML engineering, data science, applied research or similar., • Confident programming in Python and fluent with at least one modern deep learning toolkit., • Comfortable working with messy, real-world data rather than clean academic datasets., • Experience with information extraction, language models, anomaly detection or data quality modelling is valuable., • Interested in joining a company where the ML team has genuine influence over product direction. Why this is different • You’ll work on technically challenging problems where accuracy genuinely matters., • The company is scaling quickly and investing heavily in expanding its AI group., • You’ll collaborate closely with product and engineering leadership, not sit in a research silo., • The environment is fast-moving, with opportunities to own projects end-to-end., • Generous salary, equity and benefits package. Location & Work Style • On-site in San Francisco to support a highly collaborative engineering culture., • Hybrid flexibility may be available for senior hires already living in the Bay Area.

Senior Backend Infrastructure Engineer | AI Builder Tools | San Francisco (Hybrid or Onsite) One of the most technically ambitious YC startups I’m partnered with is hiring a Senior Backend Infrastructure Engineer to help productionize and scale their AI-driven builder tools. This isn’t a traditional DevOps or SRE position - it’s a backend engineering role with deep AWS experience, ideal for someone who loves building, deploying, and scaling systems from the ground up. You’ll work directly with the founding team (ex-deep learning, infra, and LLM veterans) to take internal AI builder tools from prototype to production - ensuring they’re robust, secure, and infinitely scalable. What You’ll Be Doing: • Take internal Node.js/TypeScript systems and deploy them to production on AWS, • Build and manage the infrastructure that powers scalable AI products, • Productionize backend systems for performance, reliability, and observability, • Implement containerization (Docker, ECS) and contribute to architecture decisions, • Work closely with engineers to expose APIs and backend data for front-end integration What They’re Looking For: • 5+ years of backend software engineering experience (Node.js, TypeScript, APIs), • Strong AWS experience (ECS, Lambda, CloudFormation/CDK, etc.), • Proven track record deploying and scaling backend systems in production, • Comfortable with databases, containerization, and CI/CD workflows, • Experience in startup or small-team environments where you’ve owned the full lifecycle Nice to Have: • Experience with queueing systems (Kafka, SQS) or serverless architectures, • Background building AI-powered or large-scale web systems, • Familiarity with performance monitoring and distributed systems You’ll be joining a team of world-class engineers obsessed with building high-quality, scalable software - not “vibe-coded” prototypes. If you’re an engineer who thrives on ownership, speed, and real impact, this is one to take seriously. Apply I’ll reach out with details.

A cutting edge AI startup based in San Francisco is looking for a founding engineer to own backend of their code generation platform. Software should be beautiful, and this firm aims to provide generative creativity, allowing users to explore endless designs from a single idea. This role is for an engineer who is passionate about building sophisticated, performant, and scalable backend systems for AI-powered design tools. The ideal candidate will have a proven track record of impactful work at companies known for their sophisticated backend engineering, major contributions to notable open-source projects, or a seriously impressive portfolio of complex backend builds. Experience with chat applications, reliable streaming, headless browser automation (Puppeteer/Chromium), and managing complex project state is highly desirable. Express.js, Next.js (server actions), AWS (infrastructure primitives), Terraform, Pulumi, SST, OpenAI SDK, Anthropic SDK, Gemini SDK, Puppeteer, Chromium 180-235k base + equity

The Role Our client is seeking a Staff Software Engineer to join a small, senior team as a highly skilled individual contributor. In this hybrid role, you'll work across the stack to build new user-facing features and develop integrations with CAD and third-party applications. You'll partner closely with product managers, AI researchers, and other engineers to turn new ideas into production-ready systems at scale. What You’ll Do • Design and build scalable, reliable full-stack systems using React, Node.js, and Python., • Deploy an ML model to production: you’ve done it before, and you’ll do it again: build robust products that users love., • Collaborate closely with ML and data teams to integrate models and pipelines into real-world products., • Architect backend systems around AWS services, databases, and modern data infrastructure., • Own performance and scale: build APIs, indexes, and search systems that make high-dimensional data feel instant., • Contribute to product direction: work with design, AI, and leadership to turn technical capabilities into delightful user experiences., • (Optional but exciting): advance 3D visualization, geometry, or rendering engines that make engineering feel magical. What We’re Looking For • You’re a strong generalist who can build, ship, and scale complex full-stack systems., • You’re fluent in React, Node.js, and Python, and comfortable designing APIs, services, and data flows end-to-end., • You’ve shipped large production systems, ideally ones that touch ML, data, or search., • You have experience with AWS databases, and you enjoy thinking about indexing, search, and vector data systems., • You’re pragmatic, product-minded, and enjoy owning features from concept to deployment., • You collaborate naturally with AI, design, and data teams, and love turning complexity into clarity. Bonus points if: • You’ve worked with large-scale data processing pipelines., • You have an interest in math, geometry, topology, rendering, or computational geometry., • You’ve built software in 3D printing, CAD, or computer graphics domains. This is a rare opportunity to create the interfaces, infrastructure, and experiences that bring a new kind of intelligence to the physical world, and help define how AI becomes a tool for the imagination. You love building systems that are elegant, fast, and deeply technical, and want to see them shape the real world. Let’s build the tools the future will be made in. Compensation The base salary range for this role is $175,000 – $240,000, plus equity. Flexible PTO and competitive compensation. Final offers will be based on experience, interview performance, and alignment with role requirements.

* Our client is looking for a CTO. In this role, you will guide the software team through the design and development of our current and future products. You are comfortable taking action in an environment where complete information is unavailable, and you can help your team deliver well-architected products that maintain high quality. Experience coordinating many moving parts to meet tight deadlines and having contingency plans ready when priorities shift is a must-have. We are seeking an engineering leader who has the following: • 15+ years of experience designing and scaling distributed, low-latency systems, including 5+ years leading large engineering organisations (250+ engineers), • Demonstrated expertise in complex, real-time domains such as on-demand delivery, ad-tech auctions, or high-frequency trading/energy platforms., • Proven success in building and deploying real-time optimisation systems — including vehicle routing, maps, dynamic assignment (e.g.Hungarian algorithm), integer linear programming, and reinforcement learning–based control loops — at 10K+ TPS scale., • Deep technical proficiency with microservice architectures, event-driven systems (Kafka or equivalent), geospatial frameworks (H3/S2), and languages such as Python, Go, and Java., • Hands-on experience establishing end-to-end ML infrastructure, including online/offline feature pipelines, feature stores and A/B experimentation platforms., • Relentlessly strive to push towards best practices and team goals while being flexible in a fast-paced startup environment., • You have an entrepreneurial spirit, strong commercial acumen, grit, and a deep appreciation for quality.

CMK Resources is partnering with a fast-scaling AI cloud platform on a high-impact, confidential search. This team is solving cutting-edge infrastructure challenges to support massive-scale AI and HPC workloads. They are urgently seeking an experienced Staff/Sr. Staff+ Network Engineer to lead architecture and design of next-generation networking systems. This is a contract-to-hire role (6 months) with the potential to convert to full-time. You’ll work closely with a highly technical engineering team and help shape the backbone of our client's AI cloud platform. Responsibilities • Architect and implement network infrastructure supporting large-scale AI/HPC compute clusters, • Own the design and integration of Arista and Nvidia networking solutions (Infiniband, Spectrum X), • Build and support low-latency data center networking using RoCE and RDMA technologies, • Design scalable routing protocols (BGP, OSPF/IS-IS, EVPN, VXLAN, MPLS), • Provide expert guidance on backbone, edge, and peering infrastructure, • Collaborate cross-functionally with compute, storage, and software teams, • Mentor junior engineers and contribute to global on-call support Qualifications • Bachelor's Degree in Computer Science or related area, • 15+ years of experience in network engineering or architecture roles, • Proven track record building and scaling production network infrastructure, • Hands-on experience with Arista and Nvidia networking gear, • Deep understanding of RoCE (RDMA over Converged Ethernet), • Strong knowledge of routing protocols (BGP, EVPN, VXLAN, MPLS, etc.), • Experience with cloud connectivity to AWS, GCP, Azure or similar, • Familiar with switch/router chipsets (Broadcom, Barefoot) and vendors (Cisco, Juniper, Mellanox), • Bonus: scripting with Python, Ansible, or automation tools, • Comfortable working onsite (Sunnyvale, CA/Dublin, Ireland) or remotely with travel as needed Why Join: • Help build one of the most technically advanced AI infrastructure platforms in the world, • Work at the intersection of HPC, AI, and next-gen data center networking, • Join a small, senior team that moves fast and works on real impact, • Opportunity to lead and mentor while staying deeply technical

Member of Technical Staff - AI Data Engineer San Francisco (In-Office) $150K to $225K + Equity A high-growth, AI-native startup coming out of stealth is hiring AI Data Engineers to build the systems that power production-grade AI. The company has recently signed a Series A term sheet and is scaling rapidly. This role is central to unblocking current bottlenecks across data engineering, context modeling, and agent performance. Responsibilities: • Build distributed, reliable data pipelines using Airflow, Temporal, and n8n, • Model SQL, vector, and NoSQL databases (Postgres, Qdrant, etc.), • Build API and function-based services in Python, • Develop custom automations (Playwright, Stagehand, Zapier), • Work with AI researchers to define and expose context as services, • Identify gaps in data quality and drive changes to upstream processes, • Ship fast, iterate, and own outcomes end-to-end Required Experience: • Strong background in data engineering, • Hands-on experience working with LLMs or LLM-powered applications, • Data modeling skills across SQL and vector databases, • Experience building distributed systems, • Experience with Airflow, Temporal, n8n, or similar workflow engines, • Python experience (API/services), • Startup mindset and bias toward rapid execution Nice To Have: • Experience with stream processing (Flink), • dbt or Clickhouse experience, • CDC pipelines, • Experience with context construction, RAG, or agent workflows, • Analytical tooling (Posthog) What You Can Expect: • High-intensity, in-office environment, • Fast decision-making and rapid shipping cycles, • Real ownership over architecture and outcomes, • Opportunity to work on AI systems operating at meaningful scale, • Competitive compensation package, • Meals provided plus full medical, dental, and vision benefits If this sounds like you, please apply now.

🚀 Senior Full-Stack Engineer – High-Growth AI SaaS Startup 📍 SoMa, San Francisco, CA | 💼 Full-Time | Onsite 💰 Salary: $200K–$325K + Meaningful Equity (1%+) Join an early-stage AI SaaS startup building an application builder that empowers business users to create custom applications where humans and AI collaborate seamlessly across enterprise workflows. You’ll play a pivotal role in shaping core architecture, product development, and first production deployments, working directly with the founder and early team. About the Role We’re seeking a Senior Full-Stack Engineer to lead product development and own major product surfaces across frontend, backend, and integration layers. This is a high-impact role where you’ll directly influence product direction and help build the foundation for Lumena’s platform. What You’ll Do • Design and build the core application builder — the orchestration layer connecting workflows, agents, and front-end views., • Develop and scale Lumena’s TypeScript-based backend and modern frontend stack (React + Tailwind)., • Build dynamic frontend interfaces for dashboards, forms, and human-AI workflows., • Collaborate with the applied engineering team to integrate automation and intelligence across systems., • Shape and maintain the integration layer connecting REST APIs, SQL sources, and third-party systems., • Define and enforce best practices for product engineering, architecture, and developer experience as the company scales. Who You Are (Must-Haves) • 4–15 years of professional software engineering experience in full-stack development., • Prior experience working in early-stage startups or high-growth environments., • Strong proficiency with TypeScript, Node.js, and modern frontend frameworks (React, Tailwind)., • Experience designing complex architectures, asynchronous workflows, and integrations., • Excellent problem-solving, collaboration, and communication skills. Nice-to-Haves • Experience building or integrating AI / LLM-powered applications., • Familiarity with orchestration/workflow frameworks such as Temporal., • Exposure to cloud platforms (AWS/GCP/Azure), containerisation, Kubernetes, and CI/CD pipelines., • Experience with enterprise-grade concerns: secure hosting (VPCs), observability, identity & compliance. Why Join? • Competitive salary: $200K–$325K + meaningful equity (1%+) in an early-stage company., • Work directly with experienced founders and influence the product roadmap., • Shape the architecture and direction of a high-impact platform powering first production deployments., • Be part of a small, agile, highly motivated team at the forefront of AI and enterprise applications.

We’re looking for a high-caliber engineer to join as a Founding Engineer. You should be deeply hands-on with code, technically opinionated, and capable of building production systems from scratch. This is a role for someone who enjoys execution but also has the potential (or ambition) to lead technology at a company-defining level. 🔍 What You'll Do • Build and own core infrastructure and backend systems, • Design and implement APIs, data models, and scalable services, • Collaborate closely with founders on product direction and technical architecture, • Ship code fast, validate assumptions, and iterate, • Lay the groundwork for the future engineering team (tooling, processes, and architecture) ✅ Core Technical Requirements • Proficient in one or more modern backend languages (e.g. Python, Go, TypeScript, Java, Rust), • Strong systems design skills — you can model real-world systems and reason about scale, latency, and trade-offs, • Comfortable building from zero — greenfield work doesn’t scare you; in fact, you prefer it, • Experienced with cloud infrastructure — AWS, GCP, or similar; IaC (Terraform, Pulumi, etc.) is a plus, • Competent with databases and data modeling — SQL and NoSQL, designing schema for scale, • Comfortable writing tests and deploying production systems — you care about code quality and reliability ⭐ Bonus Experience (Not Required, but Valuable) • Worked at a Pre-Seed or Seed-stage startup through to Series A, • Built or deployed software used by enterprise customers, • Experience with applied machine learning or MLOps (not just academic or notebook-based work), • Exposure to event-driven architectures, streaming systems (Kafka, etc.), or real-time data pipelines, • Frontend experience in React, TypeScript, or similar modern frameworks 📈 What We Offer • Early-stage equity and the opportunity to shape foundational decisions, • High ownership, zero bureaucracy — build what matters, fast, • Founders who value engineers, ship code, and work closely with you, • A role that grows with you — if you have CTO potential, you’ll have a path You should apply if: You’re a product-focused engineer — you solve problems through code, you like building things that work, and you’ve got the technical depth to back it up.

Job Title: Technical Project Manager (Oracle Financial Planning) Location: Bay Area, CA Parttime : 20 hours per week About the Role We are seeking an experienced Technical Project Manager (TPM) to lead a critical initiative to replace the existing planning tool with Oracle EPM solutions. The ideal candidate will have a strong technical background in Enterprise Performance Management (EPM) systems and Oracle EBS R12, specifically within financial planning, budgeting, and related financial modules. This role requires a seasoned professional who can manage end-to-end implementations, align technical capabilities with business needs, and lead cross-functional teams. Key Responsibilities • Lead and manage the full implementation lifecycle of the Oracle EPM solution to replace the current planning tool., • Collaborate with stakeholders to define project scope, objectives, deliverables, and timelines., • Oversee technical integration, configuration, and customization of Oracle EPM modules., • Work closely with finance and business teams to ensure alignment between EPM capabilities and business requirements., • Coordinate integration efforts involving Oracle EBS R12, ensuring smooth data flows and compatibility across systems., • Manage risks, issues, and dependencies throughout the project lifecycle. Required Skills & Qualifications • 5–10 years of experience in Technical Project Management, with strong exposure to EPM implementations., • Hands-on experience with Oracle EPM Cloud or Hyperion Planning., • Mandatory: Experience with Oracle EBS R12, particularly in financial or planning-related modules., • Strong understanding of financial planning, budgeting, forecasting, and reporting processes., • Proven ability to lead transformation projects within financial systems., • Excellent stakeholder management, communication, and leadership skills., • PMP or equivalent project management certification is a plus., • Bachelor’s degree in Computer Science, Finance, Business, or a related field.

Job Title: Business Analyst Skills: Steelbricks CPQ or Callidus CPQ or ServiceNow SOM, BRIM, SAAS, Quote to Cash, Opportunity Management /Quoting/Pricing /CLM /Ordering Tools/Subscription Management, Experience: 9 Years+ Job Location: San Francisco, CA Contract and Onsite We at Coforge are hiring Business Analyst with the following skillset: We need a Business Analyst having knowledge in either in Steelbricks CPQ or Callidus CPQ or ServiceNow SOM knowledgeable BA with End to end (opportunity to Order process) understanding. Knowledge of ServiceNow SOM and BRIM will be preferred. Skills Needed: 9+ years of experience in implementation of Quoting process related to SaaS products using Steelbricks CPQ Callidus CPQ or ServiceNow SOM . Should know the implementation challenges (Configuring, pricing and Quoting in each category) for SaaS products in Steelbricks CPQ or Callidus CPQ or ServiceNow SOM. Knowledge of Dynamic Pricing, discounting & Packaging of bundling of products will be needed. Should have understanding of subscription models and its billing and good understanding of BRIM 3 years as an Architect/Lead role with solutioning experience Deep expertise in the SaaS business model, especially in the CPQ and Quote to Cash process areas Have the experience to work with GTM, Sales Ops, Sales, Deals Desk, Legal, Finance functions in carving solution for Hi-Teach/ Saas companies Experience in Workflow, Approval Management, and User Management Must Have Skills: Implementation experience in Steelbricks CPQ or Callidus CPQ tool or OR ServiceNow SOM. Candidate will be able to provide Fit Gap analysis of requirements based on implementation experience Should have in depth understanding of SaaS companys Opportunity Management /Quoting/Pricing /CLM /Ordering Tools/Subscription Management/ Ability to design, prototype and assess solutions using Callidus CPQ or ServiceNow SOM and BRIM Must possess strong communication and interpersonal skills.

Coders Connect are partnering with an exciting, well-funded audio AI startup backed by $25M in Series A funding. Operating at the forefront of AI research and infrastructure, this company builds high-quality audio datasets and tooling for the world’s top tech giants. They’re hiring a Senior Full Stack Engineer to help build and scale data-centric products and real-time ML systems. This is a high-ownership role embedded within client engineering teams, helping to solve the most complex problems in voice and audio AI. 📍 Location: San Francisco (5 days/week on-site only) 🔧 What You’ll Be Doing • Architect and build full-stack systems using Node.js, TypeScript, and Next.js, • Develop scalable audio data pipelines and backend infrastructure, • Own features end-to-end, from ideation to production, • Collaborate with world-class AI researchers and product teams ✅ What You Bring • 5+ years of experience in full-stack or frontend development dominant, • Deep expertise with JavaScript/TypeScript (Node.js, Next.js), • Strong backend skills and systems thinking, • Have worked with start-up's, • STEM degree from a Top 20 U.S. university preferred, • Must be a U.S. Citizen or Green Card holder 🎯 Ideal For: Startup-minded engineers with backend depth, product focus, and a passion for building cool things!

Salesforce Appln Engg Bay Area, CA Contract Onsite We have received a request from GFiber to hire a Senior Salesforce engineer (8+ years) onshore who can design, develop, customize, and integrate complex Salesforce solutions—especially around CPQ, Order Management, Billing, and Vlocity/OmniStudio. Can you please provide the approximate Pay Rate for resources in the market with 8 to 12 years experience. Job Description: • As a senior member of the team to analyze business requirements, translating those requirements to customized solutions using the Salesforce platform., • Implement Salesforce solutions that adhere to platform best practices, and perform peer code reviews., • Implementation/configuration/development experience in Salesforce., • Experience with Vlocity and OmniScript development would be critical., • Extensive experience with Apex development., • Development experience with Visualforce, Lightning Components, and Process Builder., • Experience with databases, SOQL, and SQL., • Experience in writing clean, high quality, and maintainable code. Experience in dealing with software complexity., • Experience in the full development life-cycle from technical design to development, testing, and deployment., • Development of Omniscript Orchestrations Plan, Item definitions, • Web Application development experience would be useful., • Development experience in Java and experience in developing RPCs and RESTful APIs would probably be extremely useful, since our Salesforce systems would be interfacing with our other production systems that are developed in Java, and that use RPCs to interface. Key Responsibilities: • Design and develop scalable solutions for CPQ, OM, Billing., • Produce well-designed, testable, efficient code with high quality, • Independently work with Sales/Channels functional teams on business prioritization, project implementation and post-go-live activities., • Coordinate and collaborate with architects, leads, developers and team members to obtain requirements, develop solution design, optimization, manage UATs and post-go-live activities, • Evaluate existing code and develop plans to reduce technical debt over time and establish a technology roadmap with system architects, • Leverage expert knowledge of CPQ, Opportunity to implement new business functions within Salesforce, • Maintain and optimize full lifecycle software development using standard configuration, Apex, VisualForce, API’s and Force.com applications, • Follows and helps in improving development practices and standards, • Participate in reviewing and debugging existing source code and resolve support requests for existing environments., • Host presentations and trainings to professional peers, • Updates job knowledge by researching new technologies and software products Minimum Qualifications: • Bachelor's degree in Computer Science or equivalent, • 8+ years in Salesforce development with a strong understanding of the Salesforce Security model., • Hands-on experience in Salesforce configuration/customization using Apex, Visualforce, Triggers, Batch classes,Lighting web components (LWC),CPQ., • 7+ years of designing and developing enterprise-level applications in similar long-term roles, • Experience in the SaaS technology environment. Experience working in sales, experience cloud., • Experience with Agile development methodologies and continuous integration environments. Preferred Qualifications: • Web services experience preferred (REST, SOAP), • Understanding of object-oriented concepts, • Familiar with integration applications such as Apigee, • Working knowledge of Web and Javascript frameworks are an added plus, • self-motivated, able to work independently, prioritize effectively, and perform multiple tasks under minimal supervision, • Salesforce certified developers preferred(PD2, System Arch, Integration Arch etc) About Ampstek Ampstek is a global IT solutions partner serving clients across North America, Europe, APAC, LATAM, and MEA. We specialize in delivering talent and technology solutions for enterprise-level digital transformation, trading systems, data services, and regulatory compliance. Contact: Snehil Mishra 📧 📞 Desk: 609-360-2673 Ext. 125 🔗 LinkedIn 🌐

Title: Oracle Financial Reporting & Analytics Consultant Location: Remote (Occasional Travel Covered by Client) or Bay Area Role Overview The Oracle Financial Reporting & Analytics Consultant will lead the design and development of reporting solutions across OTBI, BI Publisher, FR Studio, and Narrative Reporting. This role will focus on creating scalable, repeatable reporting packages and close-automation capabilities for Finance and Accounting stakeholders. Core Skills & Experience • 9–10 years of hands-on experience across the Oracle Financial reporting stack., • Strong expertise with:, • OTBI (Oracle Transactional Business Intelligence), • BI Publisher, • FR Studio (Financial Reporting Studio), • Narrative Reporting, • Proven ability to build automated GL/Close dashboards, reconciliations, and operational reporting solutions., • Strong SQL, data modeling, and data quality skills., • Solid understanding of data lineage and flows across ERP → EPM → Data Warehouse environments., • Strong controls mindset, with focus on accuracy, governance, audit readiness, and repeatability. Responsibilities • Architect and develop financial and operational reporting across OTBI, BIP, FR, and Narrative Reporting., • Build standard and automated reporting packages to streamline period close activities., • Design reconciliation and variance analysis frameworks using Oracle reporting tools., • Partner with Finance, Accounting, and FP&A teams to translate business needs into scalable reporting solutions., • Ensure reporting solutions meet data governance, security, and compliance standards., • Optimize performance of reporting processes and automate manual workflows whenever possible., • Support integrations and data flows between ERP, EPM, and downstream analytics platforms. About Trident: Trident Consulting is an award-winning IT/engineering staffing company founded in 2005 and headquartered in San Ramon, CA. We specialize in placing high-quality vetted technology and engineering professionals in contract and full-time roles. Trident's commitment is to deliver the best and brightest individuals in the industry for our clients' toughest requirements. Some of our recent awards include: 2022, 2021, 2020 Inc. 5000 fastest-growing private companies in America 2022, 2021 SF Business Times 100 fastest-growing private companies in Bay Area

Crossing Hurdles is a global recruitment firm partnering with, a fast-growing Clinical Data Intelligence platform built on 12+ years of advanced research in Machine Reading and Knowledge Graph technology. It automates the low-level cognitive workflows that slow down clinicians, researchers, data abstractors, and care teams — helping healthcare systems operate faster, more accurately, and more efficiently. Role: Senior Data/AI/ML Software Engineer Location: Remote US Compensation: $150K–$300K (level & location based) + 0.1%–0.5% equity YOE: 7+ years in AI/ML or full-stack SWE Visa: H1B transfers + possible new H1B sponsorship Type: Full-time Why you should consider this • Build the intelligence layer behind a platform transforming clinical workflows at scale., • Work with cutting-edge NLP, Machine Reading, and Knowledge Graph technologies., • High-ownership role in a small, senior, research-driven engineering team (20 people)., • Join a company backed by $15M+ funding, growing rapidly in the healthcare AI space., • Direct real-world impact: your work will be used daily by clinicians and care teams., • Remote-first, high-autonomy culture with strong technical leadership. About the role • Build and enhance clinical information extractors, summarizers, and automation systems., • Scrape, process, transform, query, and analyze structured/unstructured clinical data., • Evaluate system performance and refine the clinical knowledge graph., • Develop secure, compliant code aligned with HIPAA & SOC 2., • Contribute to core data/AI/ML pipelines and infrastructure., • Participate in an on-call rotation to ensure system uptime. Requirements / Who is the ideal fit • 7+ years of experience in AI/ML engineering or full-stack SWE., • Deep hands-on experience with NLP/LLMs, data-intensive systems, and ML pipelines., • Strong expertise in Python, SQL, PyTorch, GCP, FastAPI, Django, BigQuery, dbt, Pandas., • Experience working with large, messy, clinical/healthcare datasets (nice-to-have)., • Familiarity with secure coding, privacy, and compliance standards.

Role Overview We’re seeking a Full Stack Software Engineer with strong backend development skills in Python and frontend expertise in React.js. You’ll help design, implement, and scale full stack web applications that are secure, performant, and user-centric. Responsibilities • Architect, build, and maintain backend services using Python (FastAPI, Flask, Django), • Design and implement dynamic and responsive frontends using React.js and/or Vue.js, • Create and consume RESTful and GraphQL APIs, • Build reusable components and libraries for frontend use, • Collaborate across teams to gather requirements, define solutions, and ensure quality, • Optimize performance and scalability of applications, • Write unit, integration, and end-to-end tests across the stack, • 5+ years of experience in full stack development, • M.S. degree in relevant domain required, • Proficiency with Python and one or more major web frameworks (e.g., FastAPI, Django), • Advanced skills in React.js, including Hooks, Context, and state management libraries (e.g., Redux, Zustand), • Experience with Vue.js or interest in working across multiple frontend frameworks, • Familiarity with modern frontend tooling: Webpack, Vite, Babel, ESLint, • Solid experience with HTML5, CSS3, SASS/SCSS, and responsive UI design, • Strong understanding of RESTful services, API security, and performance optimization, • Knowledge of relational databases (PostgreSQL, MySQL) and NoSQL options (MongoDB, Redis), • Git and CI/CD best practices (GitHub Actions, CircleCI, GitLab CI), • Familiarity with TypeScript, • Experience with cloud platforms (AWS, GCP, or Azure), • Experience with Docker, Kubernetes, or container orchestration, • GraphQL and Apollo Client experience, • Familiarity with microservice architecture, • Experience working with real-time data (WebSockets, MQTT)

Senior Software Engineer Location: Remote or Hybrid Experience Level: Senior (7+ years) About the Role We’re looking for a Senior Software Engineer who thrives on turning conversations into actionable, user-focused solutions. You’ll work closely with stakeholders to deeply understand problems, identify root causes, and deliver thoughtful, high-quality software that stands the test of time. Requirements • 7+ years of experience designing, implementing, and testing software., • Strong fluency in core software design principles., • Experience with test-driven development (TDD)., • Familiarity with service-oriented architecture and distributed system fundamentals., • Excellent ability to communicate technical concepts clearly to both technical and non-technical audiences., • Bonus points for experience with Microservices, Pub/Sub, Event Sourcing, Eventide, and Message DB. Technologies We Use • Languages & Frameworks: Ruby on Rails, • Event-Driven Tools: Eventide, Message DB, • Databases: PostgreSQL, • Infrastructure: Kubernetes, Terraform, • Cloud: Azure

Company Overview Milestone Technologies is a global IT managed services firm that partners with organizations to scale their technology, infrastructure and services to drive specific business outcomes such as digital transformation, innovation, and operational agility. Milestone is focused on building an employee-first, performance-based culture and for over 25 years, we have a demonstrated history of supporting category-defining enterprise clients that are growing ahead of the market. The company specializes in providing solutions across Application Services and Consulting, Digital Product Engineering, Digital Workplace Services, Private Cloud Services, AI/Automation, and ServiceNow. Milestone culture is built to provide a collaborative, inclusive environment that supports employees and empowers them to reach their full potential. Our seasoned professionals deliver services based on Milestone’s best practices and service delivery framework. By leveraging our vast knowledge base to execute initiatives, we deliver both short-term and long-term value to our clients and apply continuous service improvement to deliver transformational benefits to IT. With Intelligent Automation, Milestone helps businesses further accelerate their IT transformation. The result is a sharper focus on business objectives and a dramatic improvement in employee productivity. Through our key technology partnerships and our people-first approach, Milestone continues to deliver industry-leading innovation to our clients. With more than 3,000 employees serving over 200 companies worldwide, we are following our mission of revolutionizing the way IT is deployed. Job Overview Position Summary: We are seeking an experienced Physical Security Systems Contractor to provide break-fix support for our enterprise security infrastructure. This role will focus on troubleshooting and resolving issues reported by our Global Security Operations Center (GSOC) team through our Jira ticketing system. The contractor will work on-site in San Francisco with cutting-edge security technologies and coordinate with field integrators to ensure rapid resolution of critical security system issues. Key Responsibilities: Monitor and respond to break-fix tickets in Jira submitted by GSOC team during business hours Perform troubleshooting and diagnostics on physical security systems including: Access Control Systems Video Management Systems (VMS) Visitor Management Systems Network-connected security devices Analyze device and network connectivity issues using system logs and diagnostic tools Determine root cause of system failures and implement software-based solutions when possible Coordinate with field integrators when hardware replacement or on-site intervention is required Provide clear dispatch instructions and technical guidance to integrators Ensure proper resolution validation before integrator departure from site Maintain detailed documentation of troubleshooting steps and resolutions in Jira Escalate complex issues to appropriate vendor support channels when necessary Participate in post-incident reviews to identify preventive measures Required Technology Experience: Video Management: Axis cameras and video solutions, Genetec Security Center VMS, Sureview immersive video management Access Control: Wayvelinx cloud-based access control systems AI/Analytics: Alcatraz.ai facial authentication, Ambient.ai computer vision analytics Network troubleshooting for IP-based security devices Enterprise security system architecture and integration Required Qualifications: Minimum 5 years of hands-on experience with enterprise physical security systems Strong experience with IP networking, VLANs, and network troubleshooting Proficiency with Jira or similar ticketing systems Experience coordinating with field technicians and integrators Strong analytical and problem-solving skills Excellent written and verbal communication skills Ability to work independently and manage multiple concurrent issues Must be able to work on-site in San Francisco during standard business hours Reliable transportation to San Francisco location Preferred Qualifications: Industry certifications (e.g., Genetec, Axis, networking certifications) Experience with enterprise-scale deployments Knowledge of cybersecurity best practices for physical security systems Previous GSOC or NOC experience Experience with vendor escalation processes Bay Area experience preferred Key Performance Metrics: Average ticket resolution time First-call resolution rate Customer satisfaction scores from GSOC team Successful integrator dispatch coordination rate Working Conditions: Full-time on-site presence required at San Francisco location Standard business hours: 8:00 AM - 5:00 PM, Monday through Friday Occasional flexibility may be required for critical system issues Professional office environment Compensation Estimated Pay Range: 75K-85K Exact compensation and offers of employment are dependent on circumstances of each case and will be determined based on job-related knowledge, skills, experience, licenses or certifications, and location. Our Commitment to Diversity & Inclusion At Milestone we strive to create a workplace that reflects the communities we serve and work with, where we all feel empowered to bring our full, authentic selves to work. We know creating a diverse and inclusive culture that champions equity and belonging is not only the right thing to do for our employees but is also critical to our continued success. Milestone Technologies provides equal employment opportunity for all applicants and employees. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, gender, gender identity, marital status, age, disability, veteran status, sexual orientation, national origin, or any other category protected by applicable federal and state law, or local ordinance. Milestone also makes reasonable accommodations for disabled applicants and employees. We welcome the unique background, culture, experiences, knowledge, innovation, self-expression and perspectives you can bring to our global community. Our recruitment team is looking forward to meeting you.

Crossing Hurdles is a global recruitment firm partnering with a category-leading AI company in the financial services space. Our client powers mission-critical compliance automation for top fintechs and regulated banks worldwide including platforms trusted by institutions overseen by the OCC, FDIC, and SEC. With millions of compliance cases processed monthly and rapid market adoption, they are entering an intense engineering scale-up phase and expanding their platform team significantly over the next eight weeks. Why you should consider • Build the platform that powers AI-driven compliance for top global fintechs and banks, • Work on systems with 99.9%+ uptime requirements across thousands of daily cases, • Join a hyper-growth engineering team during a company-defining scale phase, • Tackle challenging distributed systems problems — ingestion, workflows, orchestration, observability, • Hybrid SF culture + a streamlined 2.5-hour onsite interview process, • High-impact work in one of the fastest growing markets in AI + a standout brand for your next chapter Role: Software Engineer, Platform Compensation: $168k–$213k base + competitive equity Location: Hybrid (San Francisco, CA – 2nd & Howard, 3 days/week) Tech Stack: TypeScript, Node.js, Python, SQL, PostgreSQL YOE: 3–8 years building backend systems in high-scale environments About the role • Help build and operate the core infrastructure that enables compliance at scale for major financial institutions., • Work in a backend-leaning, platform-focused capacity owning critical systems end-to-end., • Design and build APIs that support high-volume, high-reliability workloads., • Run and optimize distributed workflows powering long-running, stateful processes., • Architect systems designed to handle thousands of concurrent requests with strict uptime requirements., • Thrive in an early-stage, high-ownership environment where engineers shape core product decisions., • Contribute to a high-trust engineering culture focused on impact, autonomy, and deep technical execution. Requirements • 3–8 years of backend engineering experience, ideally in high-scale or regulated systems, • Strong skills in TypeScript/Node or Python, plus SQL and PostgreSQL fundamentals, • Experience with distributed systems, queues, or orchestration (Temporal, Airflow, etc.), • Comfort owning deployments, IaC, reliability, and on-call responsibilities, • Clear communicator who understands trade-offs and can work cross-functionally in a fast-moving team

A SF Bay Area based cutting-edge startup, which is leading the charge in transforming observability for today's data-driven world is looking for seasoned software engineer to join them as a principal engineer. As the founding engineer you will lead the design and development of their Telemetry Data Management Platform. This pivotal role involves crafting scalable backend systems that integrate seamlessly with open technologies like OpenTelemetry, ensuring our platform remains at the cutting edge of observability solutions. Responsibilities: • Develop and scale the backend of their Telemetry Data Management Platform, emphasizing compatibility with open technologies such as OpenTelemetry., • Architect systems that process and analyze vast amounts of machine data efficiently., • Actively participate in strategic planning and the development of technical roadmaps., • Work closely with the founders to ensure features meet customer needs and are delivered to a high standard., • Collaborate with the team to enhance integration with widely-used observability tools, ensuring robust and flexible data ingestion and analysis capabilities. Qualifications: • BSc in Computer Science, Engineering, or a related field., • Over 8 years of experience in backend development, with a strong background in handling large-scale data systems., • Expertise in programming languages like Go, Rust, Java, or Python and a proven track record in building scalable server architectures., • Experience with open-source technologies and standards, particularly OpenTelemetry, is highly desirable., • Familiarity with cloud services, microservices architectures, and continuous integration/continuous deployment (CI/CD) pipelines. 180-210k base + equity

About You: • You will be working on our frontend built with ___, TypeScript, and Tailwind. It’s a complex product with interactive, realtime systems that need to be coordinated. You should be immediately productive coming into a codebase on this stack., • You are skilled at frontend architecture and can also turn Figma designs into reliable production code., • You have clear likes and dislikes about AI coding tools you have tried, and know what should be better. We dogfood a lot and at the end of the day, we’re building for software engineers like ourselves. About Us: • Indent is building the platform that every software engineer begins and ends their day in. Our customers are large engineering teams who use Indent for everything from incident response to code review to data analysis. Indent is built to handle these tasks in the real world (think analyzing a 30,000 table warehouse, not vibe querying a tiny Postgres instance) with minimal setup., • We are a small, engineering-focused team. We come from a background of systems and infrastructure engineering, working on things like the Swift Compiler, distributed data orchestration software, and scaled video conferencing systems. We think that rigor is an advantage in this get-rich-quick market., • We are taking an ambitious approach to a massive market. At Indent, one engineer can own a product like the Incident Response Agent that outperforms entire companies solving the same problem.

Tiger Analytics is looking for experienced Azure AI Engineer with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. You will be responsible for: • Providing solutions for the deployment, execution, validation, monitoring, and improvement of MLE solutions, • Creating Scalable Machine Learning systems ., • Building reusable production data pipelines for implemented machine learning models Job Description: 1. 8+ years of experience designing and leading the implementation of enterprise-scale AI and cloud-native applications, 2. Expertise in designing robust, scalable, and secure multi-agent AI systems on the Azure platform, 3. Deep, hands-on knowledge of Azure OpenAI, Azure Prompt Flow, Azure AI Search, and related services, 4. Ability to guide the development team on best practices for AI, API design, and system integration, 5. Ability to translate client's business objectives into a sound technical strategy and ensure the solution architecture supports long-term goals. Benefits: This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Job Title: Business Systems Analyst, AI Automation Location: On Site - San Francisco, California, United States Salary: $76,666 - $100,000 Skills: Business Analysis, SQL, Automation, Reporting Tools, Insurtech About the Technology Company / The Opportunity: Join a forward-thinking organization at the forefront of the technology industry, specializing in innovative solutions for a start-up. Our client offers a collaborative environment that values analytical minds eager to drive business transformation through automation and data insight. This on-site Business Analyst opportunity in San Francisco provides the chance to work on impactful projects with private equity-backed initiatives, enabling you to develop tools and reports that shape strategic decisions for dynamic, growth-focused teams. Responsibilities: • Analyze business processes to identify automation opportunities and improve operational efficiency., • Design, build, and deploy scalable reporting tools to deliver actionable insights., • Collaborate with cross-functional teams to understand requirements and translate them into technical solutions., • Leverage SQL and advanced analytics platforms, including AI tools such as Claude and ChatGPT, to automate data workflows., • Support insurtech, insurance, and payroll project implementations with comprehensive business analysis., • Prepare and present detailed business reports to stakeholders and leadership., • Contribute to ongoing optimization of technology platforms supporting private equity initiatives. Must-Have Skills: • Proven experience as a Business Analyst in technology-driven environments., • Strong proficiency with SQL for data manipulation and reporting., • Hands-on expertise in automation tools and techniques for business process improvement., • Ability to build, maintain, and optimize reporting dashboards and tools., • Excellent communication skills and experience engaging with stakeholders. Nice-to-Have Skills: • Familiarity with insurtech or insurance industry operations., • Experience working with payroll systems and private equity-backed projects., • Knowledge or hands-on use of AI platforms such as Claude and ChatGPT for business automation., • Understanding of the challenges faced by enterprises in digital transformation., • Background in designing automated reporting frameworks for SaaS or fintech companies.

Founding Full Stack Engineer (Frontend + UX Focus) Location: San Francisco (on-site) We’re helping a YC-backed, seed-stage startup hire a Founding Engineer who can take full ownership of the product’s look, feel, and overall experience. The company builds the simulation and evaluation layer for voice and text AI agents, used by both fast-growing startups and large enterprises. This role is full stack, but the centre of gravity is very much the frontend. You’ll be the person who makes a complex AI platform feel simple, fast, and genuinely enjoyable to use. What You’ll Own • End-to-end ownership of core UI: dashboards, debugging tools, evaluation workflows., • Turning rough ideas into product: sketching, prototyping and shipping quickly., • Driving UX quality across the product: layout, interaction, states, polish., • Building intuitive interfaces over real-time systems, large datasets, and AI outputs., • Dipping into the backend (Python/FastAPI, Supabase, AWS) to unblock yourself and shape APIs. What They’re Looking For • Strong front end engineering with sharp product taste., • Someone who cares about clean UI, clear UX flows, and fast interactions., • Ability to work full stack when needed, but happiest owning the product surface., • Comfortable working on-site with founders, shipping quickly, and iterating with customers., • Opinionated about design details and code quality. Nice-to-Haves • Experience with React, TypeScript, Next.js, Tailwind., • Exposure to AI/voice tooling a bonus, not required., • Prior early-stage or YC/VC-backed startup experience., • Examples of beautiful or highly polished UI you’ve built. If you want to define the visual and interactive identity of a high-velocity AI product and sit at the heart of a tiny founding team, this is the one.

📌 Position: Machine Learning Engineer 📍 Location: San Francisco, CA (Hybrid – 3 days onsite/week) Locals are highly preferred. Must be authorized to work in the U.S. (No OPT/CPT). Important Submission Guidelines (Please Read Before Applying) To ensure the highest quality and integrity of applications, we are only accepting genuine profiles with verifiable, hands-on experience for this role. • Must be available for video screening with camera ON (live coding or scenario-based questions may be included)., • Must have solid, real-world Machine Learning experience (not academic-only or training-only). 🔍 Job Description: We are seeking a highly skilled Machine Learning Engineer with strong programming capabilities and hands-on experience building, deploying, and operationalizing ML models. The ideal candidate will work closely with business stakeholders to design and deliver scalable ML solutions, especially within Financial Services, Equity, or Fixed Income trading domains. ⭐ Key Responsibilities: • Develop robust ML models using Python, Java, and other relevant programming languages, • Apply strong knowledge of ML algorithms, statistical techniques, and optimization methods, • Build end-to-end ML pipelines including data preprocessing, feature engineering, training, testing, deployment, and monitoring, • Work with ML frameworks such as TensorFlow, PyTorch, and scikit-learn, • Partner with data engineering and business teams to design scalable ML infrastructure and tooling, • Convert research prototypes into production-ready solutions, • Collaborate directly with business stakeholders, ensuring clear communication of insights and model outcomes, • Strong programming skills in Python, Java (additional languages a plus), • Hands-on experience with TensorFlow, PyTorch, scikit-learn, • Deep understanding of ML algorithms, data processing, and feature engineering, • Experience developing infrastructure for training, deploying, and monitoring ML models, • Ability to work independently and drive solutions end-to-end, • Prior experience in Financial Services, specifically Equity or Fixed Income trading use cases, • Excellent communication and collaboration skills