Engineering Manager, Core Backend Services

🚀 Embrace the Future of Commerce with Whatnot!Whatnot stands as the premier live shopping platform across North America and Europe, where enthusiasts can buy, sell, and discover their favorite items. We are revolutionizing e-commerce by merging community, shopping, and entertainment into a unique marketplace tailored for you. As a collaborative remote team,…

Join the Orb Team:At Orb, we are redefining the monetization landscape for modern AI and software companies. Our cutting-edge billing infrastructure transforms complex usage-based pricing into a strategic advantage, empowering industry leaders like Vercel, Pinecone, and Replit with real-time billing automation, rapid pricing experiments, and detailed revenue analytics.With $44.1M in backing from premier investors including Mayfield, Menlo Ventures, and Greylock, we are a dynamic and fast-paced team dedicated to building the infrastructure that shapes the future of monetization.We foster a hybrid work environment, with team members collaborating in the office three days a week. Our core values—customer centricity, urgency, innovation, and meticulousness—guide our collective growth and operational excellence.Your Role:As a vital member of our infrastructure team, you will uphold our commitment to reliability, ensuring our systems function seamlessly as our customers depend on them for their revenue streams. You will oversee the infrastructure that underpins our entire product suite, encompassing event ingestion, API services, alert systems, invoicing, and more.Key Responsibilities:Lead initiatives focused on infrastructure resilience, including recovery mechanisms, tenant isolation, and handling load spikes.Enhance the observability and operability of our systems.Develop performance-critical, user-facing infrastructure, such as real-time event processing.Strategize scaling initiatives to accommodate significant customer growth.Collaborate with cross-functional engineering teams to ensure the establishment of reliable product features.Share your expertise and learn from a talented peer group.What You Bring:A deep understanding of edge cases, failure modes, and bottlenecks.Strong investigative skills for diagnosing complex errors and performance challenges.A passion for building scalable infrastructure for high-growth products.Experience mentoring fellow engineers on best practices in observability, rollout strategies, and risk management.5+ years of software engineering experience, particularly in infrastructure roles.

Join us at Magical, where our innovative AI platform integrates intelligent "AI employees" into everyday workflows, liberating teams from tedious tasks and enhancing productivity. This transformation empowers organizations to achieve their goals faster and more effectively, especially in critical sectors such as healthcare.As a trailblazer in the shift towards agentic work, you will collaborate with a dedicated team to redefine the future of work, helping us to push the boundaries of AI technology.Our mission is supported by leading investors from OpenAI, Anthropic, Huggingface, Notion, Greylock, Coatue, Altman Capital, and Lightspeed, providing us with the resources and ambition to thrive in a rapidly evolving market.About the RoleCreate and implement agentic workflows by leveraging AI prompting along with Magical’s multi-agent platform, tailored to address unique customer challenges.Serve as a technical liaison between customers and our product and engineering teams, gathering valuable feedback to drive platform enhancements.Identify and troubleshoot issues across deployments, integrations, and performance optimizations, ensuring our solutions perform reliably in high-stakes environments such as healthcare.Contribute to the development of internal resources, including tools, documentation, and reference implementations, to streamline future client engagements and expand Magical’s multi-agent ecosystem.About YouYou possess 3+ years of experience in engineering, QA engineering, solutions engineering, or a related technical field.You are passionately curious about AI prompting, multi-agent systems, and automation. Previous experience in these areas is beneficial, but a strong foundational knowledge and a willingness to learn will help you excel.You have a proactive approach, demonstrating a readiness to take initiative and prioritize effectively.You thrive in dynamic, early-stage environments and are eager to shape our operational playbook.A background in science or engineering from your college studies is preferred (dropouts are welcome).You should be based in San Francisco or Toronto, or be open to relocation.What We Offer

Join our innovative team at Glacier! This hybrid role requires in-office presence on Tuesdays and Thursdays.At Glacier, we're on a mission to address one of the most pressing challenges of our time: waste management. Did you know that over half of recyclables in the U.S. end up in landfills? We're committed to changing that narrative. Our efforts not only aim to enhance recycling practices, but also to mitigate carbon emissions, conserve energy, and protect our natural resources.We develop advanced sorting robots tailored to efficiently separate recyclables, combined with AI-driven business analytics that empower recyclers to optimize their operations and promote a more circular economy.Our technology has garnered the trust of major clients, including Colgate, Amazon, and municipal recycling facilities, as we turn recycling data into actionable insights. Our innovations have been featured in TIME's Best Inventions, a TIME documentary, and various leading publications like TechCrunch, Fortune, and CBS.The Role:We are seeking a dynamic and experienced technical leader to spearhead Glacier's Computer Vision strategy and manage our engineering team. This is a hands-on leadership position overseeing a distributed team across the U.S. and globally.Computer Vision is integral to our product offerings and significantly influences our company's achievements. This position will report directly to the co-founder and CTO.What You’ll Do:Drive the vision, strategy, and execution of Glacier's Computer Vision roadmap.Lead and cultivate our distributed Computer Vision engineering team through hiring, onboarding, and performance management.

Join Gusto as a Staff Software Engineer specializing in Observability, where you will play a pivotal role in enhancing our software's performance and reliability. Utilize your expertise to develop and implement monitoring solutions that provide insights into application behavior, ensuring a seamless experience for our users.Your contributions will directly impact our engineering processes and product quality. Collaborate with cross-functional teams to identify and resolve issues proactively, while also driving initiatives to improve system observability.

About the TeamAt ChatGPT, we are at the forefront of innovation, continuously enhancing our system with new capabilities and adapting to ever-evolving user needs. To sustain our rapid pace of development, we require a robust infrastructure capable of managing real-world production challenges, such as high concurrency and unpredictable traffic patterns.The mission of the ChatGPT Infrastructure team is to design and maintain the foundational platforms that facilitate swift iterations without compromising on performance or reliability. We create the shared systems, data pathways, rollout procedures, and reliability measures that enable teams to deploy changes to ChatGPT efficiently and at scale.Our focus is on high-impact infrastructure: we develop fundamental systems and streamlined processes that leverage hard-earned operational insights, ensuring that engineers do not have to repeatedly navigate similar challenges and pitfalls as they innovate.About the RoleWe are seeking experienced Senior and Staff Software Engineers to architect and construct the underlying infrastructure that supports ChatGPT, amplifying the productivity of teams working on user experience.This role transcends mere maintenance; it is about building platforms: you will define interfaces, develop essential abstractions, and create tools that promote safe and rapid iterations. Your contributions will lead to reduced friction, fewer regressions, enhanced performance, and systems that scale seamlessly as our product grows.Where You Can Make a DifferenceAs part of our team, you may engage with one or more of the following areas:Platform Foundations & Frameworks: Craft core libraries, service frameworks, and shared components that standardize system development and integration.Scalability & Performance Primitives: Develop patterns and infrastructure aimed at minimizing latency, boosting throughput, and maintaining cost efficiency as demand increases.Reliability Guardrails: Implement design mechanisms to prevent outages, including rate limiting, load shedding, and safe fallbacks.Developer Productivity via Golden Paths: Establish streamlined workflows that make common processes fast, safe, and user-friendly.Observability & Debugging Systems: Create instrumentation and metrics models to enhance debugging capabilities.

About Our TeamJoin OpenAI as we seek talented software engineers to enhance the productivity of our networking teams. These teams are responsible for designing and managing high-performance networking systems that underpin OpenAI's training and inference infrastructure at the cutting edge of technology.About This RoleWe are looking for a dedicated individual who is passionate about improving the developer experience for engineers working on intricate infrastructure systems, specifically focusing on build systems, testing architecture, release pipelines, and efficient development workflows.This role is integral to OpenAI’s networking team, aimed at streamlining the processes for engineers to build, test, validate, and deploy changes in multi-server, networked, and hardware-adjacent environments.Key Responsibilities:Enhance development workflows for engineers tasked with building and operating OpenAI’s networking systems.Design and refine continuous deployment, release, and validation pipelines.Develop and sustain test harnesses for multi-server, networked, and hardware-backed environments.Accelerate iteration speed across codebases in C++, Python, and build-system-centric environments.Collaborate with engineers to uncover and resolve friction points in CI, testing, debugging, and deployment workflows.Lead the testing and reliability strategy for infrastructure components that support extensive training and inference workloads.Work closely with centralized developer experience teams while remaining deeply integrated with networking engineers who are closest to the systems.

At Merge Labs, we are at the forefront of scientific innovation, dedicated to harmonizing biological and artificial intelligence to enhance human potential and experiences. Our mission is to pioneer groundbreaking brain-computer interface technologies that communicate with the brain at unprecedented speeds, integrate seamlessly with advanced AI, and ensure safety and accessibility for all users.About Our Team:Our team is committed to transforming advanced brain-computer interface visions into tangible algorithms. By integrating knowledge from synthetic biology, neuroscience, device physics, signal processing, and machine learning, we create effective methodologies to connect human intelligence with artificial intelligence. Our work involves designing experiments, developing analytical frameworks, collecting data, training models, and optimizing performance to construct scalable Brain-AI systems. We prioritize urgency while maintaining a balance between creative exploration and engineering rigor, as we believe that enhancing human ability, agency, and experience is one of the most pressing challenges of our era.Role Overview:As the most senior data engineer on our team, you will take charge of the data pipelines that capture, process, and deliver the essential data driving Merge’s molecular optimization platform. Your role will include converting diverse laboratory outputs into structured, queryable datasets that enable scientific analysis and closed-loop machine learning. Collaborating closely with experimentalists, you will establish data standards and metadata conventions, and work alongside ML engineers to ensure results are integrated into production-grade systems.This position reports to the Head of Software and involves extensive cross-functional collaboration—spanning software engineering, data architecture, and scientific informatics. As part of the Core Software team, you will be supported by infrastructure specialists and will coordinate with the Application Development Lead to ensure comprehensive scientific and user input capture.Your Responsibilities Include:Developing and maintaining ingestion pipelines from laboratory instruments into centralized data storage.Designing schemas and capturing metadata standards for experimental data.Implementing post-processing pipelines to generate analysis-ready datasets for our scientific teams.Setting up monitoring, alerting, and structured logging for data pipelines to ensure optimal operation.

Join Luminance, a trailblazer in Legal-Grade™ AI technology, where innovation meets excellence. Supported by globally recognized venture capitalists, we have been featured on Forbes' AI 50 list and Inc. 5000's fastest-growing companies, revolutionizing the legal landscape worldwide.As a Senior Customer Solutions Engineer, you will collaborate with Sales, Product, and Customer Success teams to empower our clients’ technical teams, enhancing their connection with our platform and driving value from our solutions. Your primary focus will be to deliver an unparalleled technical experience to our enterprise customers, facilitating quicker and smoother integrations with Luminance.The perfect candidate will blend a customer-centric approach with a solutions-oriented mindset, guiding clients on the most effective ways to leverage our offerings for their success.You will engage directly with our platform and Workflow engine, crafting solutions that promote seamless legal workflows across a client’s technology stack.Your role will demand a deep understanding of our AI platform and its integration into diverse customer systems. You will partner closely with both potential and existing clients, offering expert guidance and support throughout the integration journey. By working alongside Account Executives, Product Specialists, and Customer Success Managers, you will be instrumental in converting prospects into satisfied, long-term clients.We pride ourselves on investing in your professional development with a generous £2000 Learning budget for each employee, affirming our commitment to your growth alongside ours.

About Us:LangChain is dedicated to making intelligent agents commonplace. We are pioneering the foundations of agent engineering in the real world, empowering developers to transition from prototypes to production-ready AI agents that teams can depend on. Initially known for our widely embraced open-source tools, we have expanded to provide a comprehensive platform for constructing, assessing, deploying, and managing agents at scale.Our products, including LangChain, LangGraph, LangSmith, and Agent Builder, are utilized by teams delivering genuine AI solutions in both startup environments and large corporations. Millions of developers trust our technology to elevate AI initiatives at organizations such as Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.With $125M raised in our Series B funding from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we are poised for continued product development and accelerating growth, where each team member plays a significant role in shaping our technology and collaborative culture.About the Role:On-site 5 days a week in San FranciscoWe are seeking a Senior Fullstack Engineer for our commercial product, LangSmith, which serves as an observability and evaluation platform. In this role, you will have the chance to influence the technical direction of our platform while engaging with enterprise clients, developer end-users, and internal stakeholders.Lead the technical architecture and implementation of essential product features for LangSmith, utilizing our entire stack of Go, Python, and TypeScript.Work closely with product and design teams to iterate and refine new features.Mentor and support junior team members, driving ambitious project timelines while upholding high engineering standards.Set an example by producing clean, maintainable, and thoroughly tested code.

About UsAt Roboflow, we are on a mission to revolutionize the way the world interacts with technology. By harnessing the power of artificial intelligence, we aim to empower developers to build and utilize computer vision models effortlessly. Our platform is trusted by over a million developers, including teams at half of the Fortune 100 companies, who leverage our open-source and hosted machine learning tools.Our innovations have a real-world impact, from accelerating cancer research to enhancing construction safety, and much more.Backed by prestigious investors like Y Combinator and Google Ventures, we are committed to fostering a culture of innovation, ownership, and hands-on engagement with technology. Our team thrives in a flexible environment where initiative and curiosity are valued.

About CrunchyrollCrunchyroll, founded by passionate fans, is dedicated to sharing the art and culture of anime with a vibrant community. Serving over 100 million anime and manga enthusiasts in more than 200 countries, we provide diverse experiences, including streaming video, theatrical releases, gaming, merchandise, events, and more—all fueled by the beloved anime content.Join our team and contribute to shaping the future of anime!About the RoleAs Crunchyroll continues to evolve, our Data Engineering team is tasked with meeting unique challenges that arise as we support millions of anime fans globally. As a Senior Database Engineer, you will play a crucial role in maintaining and enhancing our data infrastructure's reliability, directly influencing the availability and performance of our data services. Your expertise will empower the organization to make informed, data-driven decisions. Collaborate with data engineers and software engineers to drive complete automation and establish best practices for deep monitoring and alerting.This position reports to the Director of Data Engineering, and we are open to applicants from Los Angeles, CA, and San Francisco, CA.

ABOUT US:Astro Mechanica is a pioneering aerospace firm committed to creating a future defined by rapid, interconnected flight. Our vision is to revolutionize high-speed aviation, making supersonic travel not just a luxury, but a sustainable, accessible option for everyone. We aim to establish on-demand, point-to-point global mobility as the norm, enabling seamless transport of people and goods across the globe. To realize this ambitious goal, we are unifying our cutting-edge airframe and engine technologies, including our unique Duality™ propulsion system, with an innovative flight operations model that positions supersonic transport on par with today's commercial aviation efficiency and affordability. In the short term, we are focused on developing adaptable, high-speed systems to meet the performance requirements of the United States government.WHO WE ARE:Our team is made up of enthusiastic engineers who share a commitment to pushing the boundaries of aerospace technology. We pride ourselves on being versatile thinkers with specialized knowledge, operating within a flat organizational structure that prioritizes collaboration and engineering excellence. We prioritize agility, practicality, and a relentless pursuit of high-quality outcomes.WHO YOU ARE:As a GNC Engineer, you’re eager to take full ownership of the guidance and control systems for a novel autonomous aircraft. You thrive on working from foundational principles, engaging closely with propulsion, structures, and avionics teams, and making informed trade-offs to achieve flight-ready hardware. Your passion lies in understanding real-world system behaviors—not just theoretical simulations—and you are driven to create control architectures that are robust, verifiable, and flight-ready.WHAT YOU’LL DO:Develop and implement cutting-edge guidance, navigation, and control systems for our innovative products.Participate in multi-disciplinary aircraft assessments to shape the overall system architecture.Create 6-DOF dynamics simulation models for analysis and validation processes.Design tools to automate control design, Monte Carlo simulations, and validation efforts.Collaborate closely with engineering colleagues to define control schemes and mechanisms for our products.Support flight and ground testing operations.Conduct thorough post-flight/test reviews, correlating performance data with analyses for ongoing improvement in predictive capabilities.WHAT WE’RE LOOKING FOR:A strong background in guidance, navigation, and control engineering.Experience with simulation software and modeling techniques.A collaborative mindset and willingness to work across disciplines.A passion for aerospace technology and a commitment to excellence.

ABOUT US:Astro Mechanica is a pioneering aerospace company committed to shaping a quicker, more interconnected future. Our goal is to make high-speed flight universally accessible by transforming supersonic travel into a flexible, sustainable option. We envision a world where rapid, on-demand global mobility becomes the standard for transporting people and goods. To realize this vision, we are integrating our state-of-the-art airframe and engine technologies—such as our proprietary dual-use propulsion system, Duality™—with a novel flight operations model, ensuring that supersonic transportation is as efficient and economical as traditional commercial air travel. In the short term, we are focused on developing adaptable, high-speed systems to address aircraft performance needs for the United States government.WHO WE ARE:We are a dedicated team of engineers passionate about advancing aerospace technology. Our diverse skillsets allow us to tackle a wide range of challenges while maintaining a flat organizational structure. We value speed, practicality, and prioritize engineering excellence over hierarchy.WHO YOU AREAstro Mechanica seeks an Avionics Engineer to enhance our dynamic team. The ideal candidate will possess the ability to design, architect, and improve electrical subsystems for our cutting-edge jet engines and aircraft. Your role will involve bridging hardware and software in an initial development phase, necessitating frequent cross-disciplinary collaboration to solve complex problems.Your primary responsibility will be to develop reliable avionics designs from conception through to validation and operational use. You will oversee the integration of avionics with other systems, ensuring reliability through fault-tolerant design principles, validated through rigorous testing at both subsystem and aircraft levels. You will embrace the philosophy of testing as you fly.WHAT YOU’LL DODesign and architect avionics systems for flight hardware and related ground-based testing infrastructure, including hardware-in-the-loop test setups.Collaborate with multidisciplinary engineering teams on system design and implementation.Manage the selection, analysis, and integration of avionics components.Create detailed engineering drawings, electrical schematics, and wiring pinout diagrams.Conduct comprehensive testing and validation of avionics systems.

At Thinking Machines Lab, we are on a mission to empower humanity by advancing collaborative general intelligence. Our vision is to create a future where everyone has access to the knowledge and tools necessary to harness AI for their unique needs and objectives.We are a diverse team of scientists, engineers, and builders responsible for developing some of the most influential AI products on the market, such as ChatGPT and Character.ai. Our contributions extend to open-weight models like Mistral and popular open-source projects including PyTorch, OpenAI Gym, Fairseq, and Segment Anything.About the RoleWe are seeking talented engineers to join our team and develop the libraries and tools that will accelerate research efforts at Thinking Machines. You will take charge of our internal infrastructure—creating evaluation libraries, reinforcement learning training libraries, and experiment tracking platforms—while building systems that enhance research velocity over time.This position emphasizes collaboration. You will work closely with researchers to identify bottlenecks and pain points, ensuring that they trust your systems to function seamlessly and find them enjoyable to use.What You'll DoDesign, build, and manage research infrastructure, including evaluation frameworks, RL training systems, experiment tracking platforms, visualization tools, and shared utilities.Develop high-throughput, scalable pipelines for distributed evaluation, reward modeling, and multimodal assessment.Establish systems for reproducibility, traceability, and robust quality control across research experiments and model training runs, implementing effective monitoring and observability.Collaborate directly with researchers to identify bottlenecks and unlock new capabilities, managing research tools like a product manager by proactively seeking feedback and tracking adoption.Work alongside infrastructure, data, and product teams to integrate tools across the technical stack.

P-1285 About This Role Join Databricks as a Staff Software Engineer specializing in GenAI inference, where you will spearhead the architecture, development, and optimization of the inference engine that powers the Databricks Foundation Model API. Your role will be crucial in bridging cutting-edge research with real-world production requirements, ensuring exceptional throughput, minimal latency, and scalable solutions. You will work across the entire GenAI inference stack, including kernels, runtimes, orchestration, memory management, and integration with various frameworks and orchestration systems. What You Will Do Take full ownership of the architecture, design, and implementation of the inference engine, collaborating on a model-serving stack optimized for large-scale LLM inference. Work closely with researchers to integrate new model architectures or features, such as sparsity, activation compression, and mixture-of-experts into the engine. Lead comprehensive optimization efforts focused on latency, throughput, memory efficiency, and hardware utilization across GPUs and other accelerators. Establish and uphold standards for building and maintaining instrumentation, profiling, and tracing tools to identify performance bottlenecks and drive optimizations. Design scalable solutions for routing, batching, scheduling, memory management, and dynamic loading tailored to inference workloads. Guarantee reliability, reproducibility, and fault tolerance in inference pipelines, including capabilities for A/B testing, rollbacks, and model versioning. Collaborate cross-functionally to integrate with federated and distributed inference infrastructure, ensuring effective orchestration across nodes, load balancing, and minimizing communication overhead. Foster collaboration with cross-functional teams, including platform engineers, cloud infrastructure, and security/compliance professionals. Represent the team externally through benchmarks, whitepapers, and contributions to open-source projects. What We Look For A BS/MS/PhD in Computer Science or a related discipline. A solid software engineering background with 6+ years of experience in performance-critical systems. A proven ability to own complex system components and influence architectural decisions from conception to execution. A deep understanding of ML inference internals, including attention mechanisms, MLPs, recurrent modules, quantization, and sparse operations. Hands-on experience with CUDA, GPU programming, and essential libraries (cuBLAS, cuDNN, NCCL, etc.). A strong foundation in distributed systems design, including RPC frameworks, queuing, RPC batching, sharding, and memory partitioning. Demonstrated proficiency in diagnosing and resolving performance bottlenecks across multiple layers (kernel, memory, networking, scheduler).

Join the innovative team at Perplexity as an AI Infrastructure Engineer. In this role, you will leverage your expertise in Kubernetes, Slurm, Python, C++, and PyTorch, primarily utilizing AWS. Collaborate closely with our Inference and Research teams to design, deploy, and optimize our extensive AI training and inference clusters.ResponsibilitiesArchitect, deploy, and manage scalable Kubernetes clusters tailored for AI model inference and training workloads.Oversee and enhance Slurm-based HPC environments for distributed training of large language models.Create robust APIs and orchestration systems for training pipelines and inference services.Implement effective resource scheduling and job management systems across diverse compute environments.Evaluate system performance, identify bottlenecks, and implement enhancements across both training and inference infrastructures.Develop monitoring, alerting, and observability solutions specifically designed for ML workloads running on Kubernetes and Slurm.Quickly respond to system outages and collaborate with multiple teams to ensure high uptime for critical training runs and inference services.Optimize cluster utilization and execute autoscaling strategies to meet dynamic workload demands.QualificationsExtensive experience in Kubernetes administration, including custom resource definitions, operators, and cluster management.Proficient in Slurm workload management, encompassing job scheduling, resource allocation, and cluster optimization.Demonstrated experience in deploying and managing distributed training systems at scale.In-depth knowledge of container orchestration and the architecture of distributed systems.Solid familiarity with LLM architecture and training processes, including Multi-Head Attention, Multi/Grouped-Query, and distributed training strategies.Experience in managing GPU clusters and optimizing compute resource utilization.Required SkillsAdvanced Kubernetes administration and YAML configuration management skills.Expertise in Slurm job scheduling, resource management, and cluster configuration.Proficiency in Python and C++ programming with a focus on systems and infrastructure automation.

About SemgrepSemgrep stands at the forefront of code security, enabling developers to innovate seamlessly. Our platform empowers teams to identify, flag, and address real vulnerabilities before deployment, with security solutions that evolve alongside their coding efforts. By securing code during its creation, Semgrep provides essential guardrails, allowing developers to work swiftly while ensuring their safety. With a focus on integration, Semgrep offers visibility, control, and confidence to security teams, making it an indispensable tool for modern developers. Our AI-driven approach minimizes false positives and highlights actionable vulnerabilities, with validation from 95% of security experts across over 6 million findings. In our mission to eliminate false positives, our AppSec teams experience an 80% reduction in false positives across Code and Supply Chain, significantly alleviating backlog issues.Founded in San Francisco and supported by prestigious investors such as Menlo Ventures, Felicis Ventures, Lightspeed Venture Partners, Redpoint Ventures, and Sequoia Capital, Semgrep is recognized by Gartner in Application Security Testing and trusted by leading companies including Snowflake, Dropbox, and Figma. Discover more about us at semgrep.dev.About the RoleAs a Senior Backend Engineer, you will be instrumental in enhancing our backend and infrastructure systems to ensure a robust and efficient user experience for all our customers. You will collaborate with fellow engineers to design and develop APIs, data models, and services that power Semgrep’s scalable products. A solid understanding of databases, query optimization, and distributed systems is essential, as is the ability to integrate third-party services into existing first-party code.Our technology stack includes Typescript and React on the Frontend and Python, Flask, and SQLAlchemy on the Backend, deployed using Kubernetes and hosted on AWS. While professional experience with these technologies is preferred, we welcome candidates who are eager to learn them quickly!This position is hybrid, requiring at least 3 days a week in our San Francisco, New York, Boston, or Denver offices, depending on your team. We also consider remote work for exceptional candidates.CompensationThe estimated starting annual salary for this role ranges from $160,000 to $207,000 USD. The actual salary will be determined based on various factors, including job-related skills, relevant experience, qualifications, location, internal equity, and market data. In addition to the base salary, total compensation may include equity, variable compensation, and benefits.

Join Kira Learning as a Senior Software Engineer, where you will play a pivotal role in shaping the future of educational technology. Our mission is to leverage cutting-edge AI technologies to make high-quality teaching and learning accessible to all.In this role, you will take ownership of essential backend systems and infrastructure that drive key product workflows. This position is perfect for engineers who thrive on developing reliable and scalable services while enhancing infrastructure and developer tools. Although the primary focus is on backend development, the ideal candidate should also be comfortable working across the stack, collaborating closely with product teams to deliver comprehensive features.Kira is a rapidly growing startup, supported by top-tier Venture Capital firms, including New Enterprise Associates (NEA) and Andrew Ng’s AI Fund.This is a full-time position that requires flexibility with work hours and availability outside of standard business hours. We have offices located in San Francisco, CA, and New York City, NY, and we expect employees to work in-person at one of these locations four days a week.

Join Our Team!We are seeking a dynamic and experienced Senior Software Engineer to become a vital part of our rapidly expanding engineering teams at candidhealth. In this role, you will play a key role in transforming healthcare billing products and systems, directly addressing our customers' needs. You will engage in the complete software development lifecycle, ensuring the scalability, reliability, and performance of our products while enhancing the customer experience. If you excel in a fast-paced, collaborative environment, are motivated by customer outcomes, and are dedicated to developing robust and scalable solutions, we invite you to apply!Your ResponsibilitiesDesign, develop, and maintain intricate services/platforms/features while taking ownership of substantial parts of our product and infrastructure.Work closely with customers, product managers, designers, and cross-functional teams to identify customer needs and devise innovative solutions.Propose and lead initiatives for architectural and design enhancements in our products and systems, focusing on scalability and reliability.Contribute positively to our engineering culture and help foster an exceptional workplace.Your ProfileBachelor's degree in Computer Science, Computer Engineering, Mathematics, or a related field.8+ years of experience in a Software Engineering role.Proficient in programming languages, frameworks, databases, and cloud platforms. Familiarity with our current technology stack is an advantage but not mandatory: Python, PostgreSQL, Docker, Kubernetes, React, TypeScript, Google Cloud Platform, Auth0, Terraform.Demonstrated ability to create high-quality software, with a focus on customer outcomes and an understanding of where to prioritize efforts.Ability to manage features end-to-end and a willingness to learn new tools and technologies.A customer-centric mindset and a passion for sharing knowledge with others.Excellent communication and collaboration skills, with the ability to simplify complex concepts for various audiences.