Software engineering internship jobs in Walnut Creek, CA

Astreya is a leading global provider of game-changing IT Managed Services and technology solutions to some of the world's most recognizable and innovative organizations. Through our people, processes, and proprietary technologies, we accelerate innovation- driven growth and transform technology into a company's most valuable resource. We are looking to add a Principal Software Developer to support one of our clients On-site in Seattle WA. What you'll be doing: -Design and launch cloud services from the ground up -Engineer new runtimes top operate demanding high availabilty workloads -Deliver core data-plane components and tools driving performance and improvements. Who we are looking for: We're seeking self-motivated technical leaders who thrive on solving system-level and data-plane architecture challenges at scale. As an expert developer, you'll deep-dive into low-level systems, designing highly scalable solutions for networking and storage. You have a proven record of shipping major features to production, and deep expertise in high-scale public cloud-particularly at the data-plane level. Basic Qualifications: BS or MS in Computer Science (or equivalent experience) 5+ years' experience building robust, distributed services in high-performance development environments Demonstrated ability to write high-quality code in C/C++, Go, or similar languages Strong grasp of data structures and algorithms; experience optimizing for scale Deep background in networking data-plane architectures (DPU-based or DPDK-based solutions) Astreya offers comprehensive benefits to all Regular, Full-Time Employees, including: Medical provided through Cigna (PPO, HSA, EPO options) / Medical provided through Kaiser (HMO option only) for California employees only Dental provided through Cigna (DPPO & DHMO options) Nationwide Vision provided through VSP Flexible Spending Account for Health & Dependent Care Pre-Tax Account for Commuter Benefit/Parking & Transit (location-specific) Continuing Education and Professional Development via various integrated platforms, e.g. Udemy and Coursera Corporate Wellness Program Employee Assistance Program Wellness Days 401k Plan Basic Life, Accidental Life, Supplemental Life Insurance Short Term & Long Term Disability Critical Illness, Critical Hospital, and Voluntary Accident Insurance Tuition Reimbursement (available 6 months after start date, capped) Paid Time Off (accrued and prorated, maximum of 120 hours annually) Paid Holidays Any other statutory leaves, paid time, or other fringe benefits required under state and federal law

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.

Hi, Greetings from Solvecube HCM I hope you are enjoying a great day! I am from Solvecube HCM, an AI Based global consulting firm head quartered in Singapore. Our client is a Healthcare AI Startup based in San Francisco, USA and looking for a great tech leader as their Principal Engineer. It is a permanent role with client. Your experience at Ambience Healthcare must have equipped you with unique insights and skills that could be a great fit for this role. This opportunity offers a chance to work with a talented team and fixed Salary+Stock options. Key Responsibilities Set technical vision and lead architecture for AI-first platform services. Build advanced systems in LLMOps, reinforcement learning, and AI pipelines. Evaluate and integrate cutting-edge frameworks (LangChain, Hugging Face, RAG). Collaborate with leadership on long-term technology strategy. Mentor senior engineers across India and US teams. Qualifications 10+ years of experience in software/AI engineering, including leadership roles. Deep expertise in PyTorch, TensorFlow, LangChain, Hugging Face. Proven ability to innovate and deliver in startup/scale-up environments. Strong communication and collaboration skills. If this sounds intriguing, I'd love to chat more about it. Feel free to reply to this email or let me know if you'd prefer a quick call. Looking forward to hearing from you soon! If you are not exploring at this moment let me know if you have a strong reference for the same. Please note: The incumbent should be a local citizen or a Green card holder to be eligible. Best regards, Lijy Ronnie Mail me : ******************

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.

Now Hiring: Backend Software Engineer (Go / Python) - High-Scale Distributed Systems We're looking for an exceptional Backend Engineer who thrives in fast-paced engineering environments and enjoys solving challenging distributed-systems problems at scale. If you love building low-latency services, designing resilient architectures, and driving technical excellence across teams - this role is for you. 📍 Location: Remote 🧑 💻 Type: Full-time 💼 Experience Level: 3+ years What You'll Do 🔹 Build and operate large-scale, low-latency distributed systems 🔹 Design backend services with a focus on performance, reliability, and maintainability 🔹 Write high-quality services in Go or Python 🔹 Debug production issues, optimize runtime behavior, and improve system efficiency 🔹 Collaborate closely with cross-functional engineering teams 🔹 Provide mentorship to junior developers and lead technical initiatives 🔹 Own services end-to-end across the full software lifecycle (design → build → deploy → operate) What We're Looking For ✔ 5+ years of experience in backend software development ✔ Hands-on expertise with Go or Python ✔ Strong background in distributed systems, concurrency, and high-scale architecture ✔ Experience designing low-latency services and working with high-throughput workloads ✔ Solid debugging skills and confidence working in production environments ✔ A proactive ownership mindset - you build it, you run it ✔ Ability to mentor engineers and drive system improvements ✔ Excellent communication and cross-team collaboration skills Nice to Have ✨ Experience with cloud platforms, microservices, or event-driven architecture ✨ Familiarity with CI/CD, observability, tracing, or performance tuning If you're excited about solving complex systems problems and writing highly performant backend code, do apply #BackendEngineer #Golang #Python #DistributedSystems #Hiring #SoftwareEngineering #RemoteJobs #LowLatency #Microservices #TechJobs

This is a full-time role with a client of Dinan & Associates. This role is with an established company and includes excellent health care and other benefits. Role: Principal / Senior Principal Software Engineer Industry: Biotechnology / Pharmaceutical R&D Location: San Francisco Bay Area (Hybrid) The Organization We are a leading global biotechnology company driven to innovate and ensure access to healthcare for generations to come. Our goal is to create a healthier future and more time for patients with their loved ones. The Position Advances in AI, data, and computational sciences are transforming drug discovery and development. Our Research and Early Development organizations have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Our Computational Sciences group is a strategic, unified team dedicated to harnessing the transformative power of data and Artificial Intelligence (AI) to assist scientists in delivering innovative medicines for patients worldwide. Within this group, the Data and Digital Solutions team leads the modernization of our computational and data ecosystems by integrating digital technologies to empower stakeholders, advance data-driven science, and accelerate decision-making. The Role The Solutions team develops modernized and interconnected computational and data ecosystems. These are foundational to building solutions that accelerate the work done by Computational and Bench Scientists and enable ML/AI tool creation and adoption. Our team specializes in building Data Pipelines and Applications for data acquisition, collection, storage, transformation, linkage, and sharing. As a Software Engineer in the Solutions Engineering capability, you will work closely with Data Engineers, Product Leaders, and Tech/ML Ops, as well as directly with key partners including Computational Scientists and Research Scientists. You will build robust and scalable systems that unlock the potential of diverse scientific data, accelerating the discovery and development of life-changing treatments. Key Responsibilities Technical Leadership: Provide strategic and tactical technical leadership for ongoing initiatives. Identify new opportunities with an eye for consolidation, deprecation, and building common solutions. System Design: Responsible for technical excellence, ensuring solutions are innovative, best-in-class, and integrated by delivering data flows and pipelines across key domains like Research Biology, Drug Discovery, and Translational Medicine. Architecture: Learn, deeply understand, and improve Data Workflows, Application Architecture, and Data Ecosystems by leveraging standard patterns (layered architecture, microservices, event-driven, multi-tenancy). Collaboration: Understand and influence technical decisions around data workflows and application development while working collaboratively with key partners. AI/ML Integration: Integrate diverse sets of data to power AI/ML and Natural Language Search, enabling downstream teams working on Workflows, Visualization, and Analytics. Facilitate the implementation of AI models. Who You Are Education: Bachelor's or Master's degree in Computer Science or similar technical field, or equivalent experience. Experience: 7+ years of experience in software engineering (Principal Software Engineer level). 12+ years of experience (Sr. Principal Software Engineer level). Full Stack Expertise: Deep experience in full-stack development is required. Strong skills in building Front Ends using JavaScript, React (or similar libraries) as well as Backends using high-level languages like Python or Java. Data & Cloud: Extensive experience with Databases, Data Analytics (SQL/NoSQL, ETL, ELT), and APIs (REST, GraphQL). Extensive experience working on cloud-native architectures in public clouds (ideally AWS) is preferred. Engineering Best Practices: Experience building data applications that are highly reliable, scalable, performant, secure, and robust. You adopt and champion Open Source, Cloud First, API First, and AI First approaches. Communication: Outstanding communication skills, capable of articulating technical concepts clearly to diverse audiences, including executives and globally distributed technical teams. Mentorship: Ability to provide technical mentorship to junior developers and foster professional growth. Domain Knowledge (Preferred): Ideally, you are a full-stack engineer with domain knowledge in biology, chemistry, drug discovery, translational medicine, or a related scientific discipline. Compensation & Benefits Competitive salary range commensurate with experience (Principal and Senior Principal levels available). Discretionary annual bonus based on individual and company performance. Comprehensive benefits package. Relocation benefits are available. Work Arrangement Onsite presence on the San Francisco Bay Area campus is expected at least 3 days a week.

A top AI Native Command Center startup is looking for a lead software developer to join their growing technology team. It centralizes internal and external data for companies and matches it with external insights to help companies make better decisions and predict the future. With early traction in sports and entertainment and working with some of the biggest names like the PGA, Warriors and others and a fresh venture round, they are scaling quickly. As Engineering Lead at Cred, you'll shape how we build. You'll manage and mentor a growing team, drive best practices across delivery and QA, and help us scale our infrastructure, pipelines, and platform with AI and automation at the core. Key Responsibilities: Lead and scale the engineering function with a strong delivery mindset - shipping high-quality features weekly Own and evolve internal processes around CI/CD, QA automation, observability, and DevOps Design and build internal tools to automate development, QA, and data workflows, powered by AI What We're Looking For Must-Haves: 6-10+ years of hands-on engineering experience, with at least 2+ years in engineering leadership roles Proven ability to lead agile/scrum teams, set goals, track velocity, and manage delivery in sprint cycles Strong background in DevOps and QA best practices - CI/CD pipelines, automated testing, infrastructure as code Experience building and scaling data-rich products - including APIs, integrations, scraping tools, or cloud platforms AI-native mindset - you actively look for ways to integrate LLMs and automation into engineering processes

Job Title: Staff Software Engineer Job Type: Perm Salary: Very Competitive based on exp. The Company: Series C AI technology company building backend systems that enable clinical and operational tools used by healthcare organizations. The team combines engineering and research expertise to build safe, reliable AI services for use in regulated data environments. The company is focused on practical, production-grade systems rather than research prototypes. Role and Responsibilities: Design and build scalable backend infrastructure to support AI applications used in healthcare environments. Collaborate with ML engineers and scientists to develop high-throughput data pipelines and microservices. Develop APIs and distributed systems that enable secure data retrieval, processing, and model integration. Ensure patient data protection through strong privacy and security measures across systems. Monitor, optimize, and maintain backend performance to meet enterprise reliability standards. Partner with product managers and healthcare teams to translate clinical needs into technical solutions. Mentor junior engineers, fostering technical growth and best practices within the engineering team. Job Requirements: Must Have: 7+ years of experience in backend engineering (Python, Go, or Java). Proven experience building distributed systems (databases, pub/sub, Kafka, Redis). Expertise in cloud platforms (GCP or Azure preferred; AWS acceptable). Proficiency with Docker, Kubernetes, CI/CD, and cloud networking. Strong understanding of SaaS architecture, data modeling, and security/privacy frameworks. Excellent communication and collaboration skills. Ability to work LATAM-based hours aligned with PST. Nice to Have: Familiarity with LLM frameworks (e.g., LangChain) or vector databases for AI/ML workloads. Experience in healthcare or regulated environments (HIPAA familiarity is a plus). Interest in mentorship and architectural decision-making at scale. Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences. We make an active choice to be inclusive towards everyone every day.? Please let us know if you require any accessibility adjustments through the application or interview process. Our Commitment to Diversity, Equity, and Inclusion: Signify's mission is to empower every person, regardless of their background or circumstances, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time. Check out our DE&I page here

Job Title: Computer Vision Engineer V - Imaging Simulation Engineer Duration: 12 Months (Extension Possible) Rate: $127/hr, W2 Benefits: Medical, Dental, Vision and Weekly Pay Role Summary Client Reality Labs is a leader in designing virtual and augmented reality systems. This role supports the Cameras Architecture Team as an Imaging Simulation Engineer, responsible for developing, validating, and executing end-to-end camera system simulations-including optics, sensors, algorithms, and software pipelines-to impact future camera architectures. The position collaborates with researchers, imaging scientists, algorithm engineers, optics teams, and camera architects to enable high-fidelity simulations and accelerate camera technology development for next-generation AR/VR products. Key Responsibilities Develop, validate, and execute state-of-the-art imaging simulation software tools to support Client camera hardware exploration, ML dataset generation, and product architecture studies. Investigate simulation methods such as ISET, ZEMAX, and non-sequential ray tracing to model realistic camera behavior. Experiment and data collection to validate simulator accuracy and to improve simulator modeling capability and efficiency Build and bring up lab setups for image data acquisition of camera prototypes to support camera design studies. Operate, calibrate, and perform routine maintenance of lab equipment. Develop and document camera test methodologies to support 2D/3D camera system performance analysis. Develop and debug test scripts for image data collection automation Processing, analysis and organizing measurement data; presentation of initial analysis Drive supplier interaction and management to deliver camera prototypes in support of concept demonstrations Qualifications:(10+ Years) Minimum Qualifications: Advanced degree (M.S.) or equivalent acquired experience in a discipline such as Imaging Science, Image Processing, Computer Vision, or related fields Knowledge of image formation process (spectrum, optics/aberrations, PSF, sensor noise, Fourier theory, sampling/aliasing) needed to successfully model and simulate complex imaging phenomena Experience and knowledge in developing and tuning Image Signal Processing (ISP) algorithms and pipeline. Experience coding in languages such as MATLAB, Python, C/C++, preferably CUDA, design code for efficiency, and target different platforms such as GPU, Cloud, and other Experiences in image quality testing of camera systems and familiar with image quality metrics and analysis • Hands on experience in the development of lab setups for camera system performance study Experiences in camera calibration and modeling of imaging systems Familiar with image sensor, imaging optics, and image processing algorithms Ability to work with minimal direction and managing a project independently from start to finish Must Have Skills: Understanding of image formation, capturing, and processing pipeline and techniques Python/Matlab programming, shell scripting skills Understanding of subjective and objective image quality evaluation metric and testing procedure Nice-to-Have Skills Hands-on experience developing lab setups for camera system studies. Experience with camera calibration and modeling. Experience at top-tier imaging companies. Degrees / Certifications Required: Bachelor's degree required. Master's or PhD preferred. Interview Process Minimum 2 rounds: Initial hiring manager screen Technical interview with the engineering team Topics: imaging simulation, ISP pipelines, image formation, camera modeling, past project deep dives. Timing: Manager screen: 30 minutes Technical interview: 1 hour Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some job duties such as adhering to company policies, exercising sound judgment, managing stress, working respectfully with others, meeting client expectations, and safeguarding business operations and reputation. #TMN

Compensation: Up to $135K base salary My client is a Series C renewable-energy automation unicorn, founded in 2019 and backed by more than $200M in funding. They are building intelligent systems that transform how large-scale renewable energy projects are designed and delivered. They're hiring a Software Engineer - Intelligent Systems to develop AI-powered tools using Azure OpenAI, AWS Bedrock, and AgentCore to automate complex engineering workflows. This role is ideal for a recent M.S. or Ph.D. graduate passionate about AI, automation, and multi-cloud technologies. What You'll Do Build AI-driven automation workflows and reasoning chains Develop LLM-based agents with Azure OpenAI and AWS Bedrock Work on retrieval systems and Document AI integrations Deploy and optimize agents across Azure, AWS, edge, and on-prem environments Translate engineering workflows into intelligent systems Test, validate, and document system behavior What We're Looking For Bachelor's or Master's in CS, AI, Computational Linguistics, or related field (M.S./Ph.D. preferred) Experience with AI/ML, NLP, or intelligent systems Strong Python programming skills Familiarity with frameworks like LangChain or LangGraph Exposure to Azure OpenAI, AWS Bedrock, and AgentCore Understanding of REST APIs, asynchronous programming, and data integration

Xoriant is an equal opportunity employer. No person shall be excluded from consideration for employment because of race, ethnicity, religion, caste, gender, gender identity, sexual orientation, marital status, national origin, age, disability or veteran status. JOB TITLE : Software Development engineer in Test/SDET LOCATION: Mountain View, CA (Hybrid 3 days onsite) TYPE: Contract RATE : $50 per hour on W2 (Without Benefits) MUST SKILLS: Manual Testing, SDET, API testing, selenium /web driver, SQL Queries & AWS/Azure/GCP. JOB DESCRIPTION: 8+ hands-on years of manual testing and test automation experience. Need strong Manual testing exp, candidates should be willing to start with manual testing and gradually move to automation. Good experience in API Testing. Need selenium or web driver exp. Solid exp is SQL queries. Good expertise in complex SQL queries. Oracle and Postgres databases. Nice to have experience in AWS/Azure/GCP. Demonstrated experience with WebDriver IO or any Selenium test frameworks or similar open-source automation framework. Solid understanding and experience of writing locators in selenium. Cucumber, Mocha, or similar BDD test scripts development experience. ////****** Any query you can reach me on ************/********************************//////

Founding Engineer On-Site San Francisco, CA $170,000 - $200,000 About: We are seeking versatile Sr Software Engineers who specialize across disciplines - Machine Learning, Data Engineering, and Full-Stack Development. The ideal candidate is willing to get their hands dirty, push boundries, and driven by a need to succeed. You will be ready to work diligently and build rapidly to win the market. You should be prepared to challenge existing concepts and develop alternative solutions. Job Summary: You'll operate at the cutting edge of LLMs, computer vision, and data engineering to automate compliance in precision-focused industries. You'll also collaborat with major global industrial partners. Your work will help build a product that leading organizations will depend on to prevent accidents, protect lives, and transform the way they run their operations. Who You Are: Able to make decisions quickly. Proactive. Comfortable with TypeScript, Python, Docker, LLMs, YOLO, Tesseract, PostgreSQL, AWS, and React Native. Have a history of building products that have been used. Thrive under pressure and within an unstructured environment. What You'll Do: Speak with users and gather their needs, experiences, and problems. Architect systems that will be used daily by others at billion-dollar companies. Build agent-swarm data pipelines that will autonomously audit. Maintain and scale infrastructure. Produce quickly without the fear of perfection. Work directly with the founding team and customers.

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.

Now Hiring: Backend Software Engineer (Go / Python) - High-Scale Distributed Systems We're looking for an exceptional Backend Engineer who thrives in fast-paced engineering environments and enjoys solving challenging distributed-systems problems at scale. If you love building low-latency services, designing resilient architectures, and driving technical excellence across teams - this role is for you. 📍 Location: Remote 🧑 💻 Type: Full-time 💼 Experience Level: 3+ years What You'll Do 🔹 Build and operate large-scale, low-latency distributed systems 🔹 Design backend services with a focus on performance, reliability, and maintainability 🔹 Write high-quality services in Go or Python 🔹 Debug production issues, optimize runtime behavior, and improve system efficiency 🔹 Collaborate closely with cross-functional engineering teams 🔹 Provide mentorship to junior developers and lead technical initiatives 🔹 Own services end-to-end across the full software lifecycle (design → build → deploy → operate) What We're Looking For ✔ 5+ years of experience in backend software development ✔ Hands-on expertise with Go or Python ✔ Strong background in distributed systems, concurrency, and high-scale architecture ✔ Experience designing low-latency services and working with high-throughput workloads ✔ Solid debugging skills and confidence working in production environments ✔ A proactive ownership mindset - you build it, you run it ✔ Ability to mentor engineers and drive system improvements ✔ Excellent communication and cross-team collaboration skills Nice to Have ✨ Experience with cloud platforms, microservices, or event-driven architecture ✨ Familiarity with CI/CD, observability, tracing, or performance tuning If you're excited about solving complex systems problems and writing highly performant backend code, do apply #BackendEngineer #Golang #Python #DistributedSystems #Hiring #SoftwareEngineering #RemoteJobs #LowLatency #Microservices #TechJobs

A top AI Native Command Center startup is looking for a lead software developer to join their growing technology team. It centralizes internal and external data for companies and matches it with external insights to help companies make better decisions and predict the future. With early traction in sports and entertainment and working with some of the biggest names like the PGA, Warriors and others and a fresh venture round, they are scaling quickly. As Engineering Lead at Cred, you'll shape how we build. You'll manage and mentor a growing team, drive best practices across delivery and QA, and help us scale our infrastructure, pipelines, and platform with AI and automation at the core. Key Responsibilities: Lead and scale the engineering function with a strong delivery mindset - shipping high-quality features weekly Own and evolve internal processes around CI/CD, QA automation, observability, and DevOps Design and build internal tools to automate development, QA, and data workflows, powered by AI What We're Looking For Must-Haves: 6-10+ years of hands-on engineering experience, with at least 2+ years in engineering leadership roles Proven ability to lead agile/scrum teams, set goals, track velocity, and manage delivery in sprint cycles Strong background in DevOps and QA best practices - CI/CD pipelines, automated testing, infrastructure as code Experience building and scaling data-rich products - including APIs, integrations, scraping tools, or cloud platforms AI-native mindset - you actively look for ways to integrate LLMs and automation into engineering processes

Founding Engineer On-Site San Francisco, CA $170,000 - $200,000 About: We are seeking versatile Sr Software Engineers who specialize across disciplines - Machine Learning, Data Engineering, and Full-Stack Development. The ideal candidate is willing to get their hands dirty, push boundries, and driven by a need to succeed. You will be ready to work diligently and build rapidly to win the market. You should be prepared to challenge existing concepts and develop alternative solutions. Job Summary: You'll operate at the cutting edge of LLMs, computer vision, and data engineering to automate compliance in precision-focused industries. You'll also collaborat with major global industrial partners. Your work will help build a product that leading organizations will depend on to prevent accidents, protect lives, and transform the way they run their operations. Who You Are: Able to make decisions quickly. Proactive. Comfortable with TypeScript, Python, Docker, LLMs, YOLO, Tesseract, PostgreSQL, AWS, and React Native. Have a history of building products that have been used. Thrive under pressure and within an unstructured environment. What You'll Do: Speak with users and gather their needs, experiences, and problems. Architect systems that will be used daily by others at billion-dollar companies. Build agent-swarm data pipelines that will autonomously audit. Maintain and scale infrastructure. Produce quickly without the fear of perfection. Work directly with the founding team and customers.

Now Hiring: Backend Software Engineer (Go / Python) - High-Scale Distributed Systems We're looking for an exceptional Backend Engineer who thrives in fast-paced engineering environments and enjoys solving challenging distributed-systems problems at scale. If you love building low-latency services, designing resilient architectures, and driving technical excellence across teams - this role is for you. 📍 Location: Remote 🧑 💻 Type: Full-time 💼 Experience Level: 3+ years What You'll Do 🔹 Build and operate large-scale, low-latency distributed systems 🔹 Design backend services with a focus on performance, reliability, and maintainability 🔹 Write high-quality services in Go or Python 🔹 Debug production issues, optimize runtime behavior, and improve system efficiency 🔹 Collaborate closely with cross-functional engineering teams 🔹 Provide mentorship to junior developers and lead technical initiatives 🔹 Own services end-to-end across the full software lifecycle (design → build → deploy → operate) What We're Looking For ✔ 5+ years of experience in backend software development ✔ Hands-on expertise with Go or Python ✔ Strong background in distributed systems, concurrency, and high-scale architecture ✔ Experience designing low-latency services and working with high-throughput workloads ✔ Solid debugging skills and confidence working in production environments ✔ A proactive ownership mindset - you build it, you run it ✔ Ability to mentor engineers and drive system improvements ✔ Excellent communication and cross-team collaboration skills Nice to Have ✨ Experience with cloud platforms, microservices, or event-driven architecture ✨ Familiarity with CI/CD, observability, tracing, or performance tuning If you're excited about solving complex systems problems and writing highly performant backend code, do apply #BackendEngineer #Golang #Python #DistributedSystems #Hiring #SoftwareEngineering #RemoteJobs #LowLatency #Microservices #TechJobs

A top AI Native Command Center startup is looking for a lead software developer to join their growing technology team. It centralizes internal and external data for companies and matches it with external insights to help companies make better decisions and predict the future. With early traction in sports and entertainment and working with some of the biggest names like the PGA, Warriors and others and a fresh venture round, they are scaling quickly. As Engineering Lead at Cred, you'll shape how we build. You'll manage and mentor a growing team, drive best practices across delivery and QA, and help us scale our infrastructure, pipelines, and platform with AI and automation at the core. Key Responsibilities: Lead and scale the engineering function with a strong delivery mindset - shipping high-quality features weekly Own and evolve internal processes around CI/CD, QA automation, observability, and DevOps Design and build internal tools to automate development, QA, and data workflows, powered by AI What We're Looking For Must-Haves: 6-10+ years of hands-on engineering experience, with at least 2+ years in engineering leadership roles Proven ability to lead agile/scrum teams, set goals, track velocity, and manage delivery in sprint cycles Strong background in DevOps and QA best practices - CI/CD pipelines, automated testing, infrastructure as code Experience building and scaling data-rich products - including APIs, integrations, scraping tools, or cloud platforms AI-native mindset - you actively look for ways to integrate LLMs and automation into engineering processes

Founding Engineer On-Site San Francisco, CA $170,000 - $200,000 About: We are seeking versatile Sr Software Engineers who specialize across disciplines - Machine Learning, Data Engineering, and Full-Stack Development. The ideal candidate is willing to get their hands dirty, push boundries, and driven by a need to succeed. You will be ready to work diligently and build rapidly to win the market. You should be prepared to challenge existing concepts and develop alternative solutions. Job Summary: You'll operate at the cutting edge of LLMs, computer vision, and data engineering to automate compliance in precision-focused industries. You'll also collaborat with major global industrial partners. Your work will help build a product that leading organizations will depend on to prevent accidents, protect lives, and transform the way they run their operations. Who You Are: Able to make decisions quickly. Proactive. Comfortable with TypeScript, Python, Docker, LLMs, YOLO, Tesseract, PostgreSQL, AWS, and React Native. Have a history of building products that have been used. Thrive under pressure and within an unstructured environment. What You'll Do: Speak with users and gather their needs, experiences, and problems. Architect systems that will be used daily by others at billion-dollar companies. Build agent-swarm data pipelines that will autonomously audit. Maintain and scale infrastructure. Produce quickly without the fear of perfection. Work directly with the founding team and customers.