Software Engineer - Integration Platform

Role overview Salma Health is hiring a Software Engineer for Platforms & Integrations to help build and maintain the internal systems behind its brain health platform. The role involves designing and supporting integrations across electronic health records (EHR), CRM, billing, and research tools. Day-to-day work includes developing and maintaining connections between these systems, as well as creating internal tools for clinical and operational teams. Ensuring smooth data flow across the technology stack is a core responsibility. This position emphasizes collaboration with teams in engineering, product, clinical operations, and data. The goal is to keep the platform reliable and scalable as the company expands. Location This is a hybrid role. Candidates based in the San Francisco Bay Area, San Diego, or Salt Lake City are preferred. Remote work is possible, but regular in-person collaboration is expected.

Do you recall the exhilarating moment when your first connector began to function seamlessly? After days of grappling with poorly documented APIs, deciphering cryptic error messages, and reverse-engineering complex authentication flows, the data begins to flow just as you envisioned. That breathtaking moment when rate limits are handled smoothly, pagination operates without a hitch, and edge cases don't cause production issues is unparalleled.At ConductorOne, we establish connections with numerous enterprise systems—ranging from modern APIs with clear documentation to legacy systems where the documentation is a decade-old PDF filled with tribal knowledge. We have developed an integration platform that adeptly manages the chaos: unreliable endpoints, inconsistent schemas, authentication methods predating OAuth, and those inevitable 3 AM alerts when a vendor introduces a breaking change. We prioritize speed and consistency, leveraging AI tools (Claude Code, Cursor) to accelerate our delivery.We are on the lookout for outstanding Staff and Principal Engineers to join our San Francisco team, focusing on how we connect and integrate with the myriad of systems our customers rely upon. You will design the frameworks that simplify the creation of new connectors, troubleshoot complex integration failures, and ensure our platform scales effectively as we onboard enterprise clients with extensive tech stacks. If you have a proactive mindset and a passion for delivering results, we would love to speak with you.Explore our approach to tackling challenging problems through our blog posts:Incremental Sync: How ConductorOne Keeps Identity Data Fresh in Real TimeBuilding Trust Through Connector ReliabilityAbout ConductorOneConductorOne is the pioneering AI-native identity security platform that safeguards every identity: human, non-human, and AI. We empower enterprises to transcend the constraints of outdated identity governance—minimizing their attack surface while enhancing the experience for all stakeholders.Innovative companies such as DigitalOcean, Instacart, Ramp, and Zscaler trust ConductorOne to secure their identities. Backed by prominent investors and experiencing rapid growth, we maintain a small enough team that every engineer contributes significantly to our product and culture.

About UsAt Twelve Labs, we are at the forefront of developing innovative multimodal foundation models capable of understanding videos in a human-like manner. Our state-of-the-art models are setting new benchmarks in video-language modeling, allowing for more intuitive interactions and transformative media analysis.With an impressive $107 million in Seed and Series A funding, we have garnered support from leading venture capital firms like NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, as well as esteemed AI pioneers such as Fei-Fei Li, Silvio Savarese, and Alexandr Wang. Our headquarters are in San Francisco, complemented by a strong presence in APAC, particularly in Seoul, highlighting our commitment to global innovation.We embrace the individuality of each team member’s journey. The diversity of our cultural, educational, and experiential backgrounds fuels our drive to challenge the norm. We seek passionate individuals eager to contribute to our mission and make a significant impact as we redefine the landscape of technology. Join us in revolutionizing video comprehension and multimodal AI.Role OverviewAs a Senior Staff Software Engineer, you will take charge of the infrastructure and integration layer that ensures Twelve Labs models are seamlessly accessible on partner platforms. Your responsibilities will encompass everything beyond the models, including packaging, validating, deploying model containers, designing API surfaces for various platforms, routing requests, and maintaining production reliability across diverse cloud environments.You will collaborate closely with our Science, Product, and ML Engineering teams to align model and product roadmaps for successful platform integrations. Your expertise in external model orchestration will be pivotal; you will need to comprehend model component functionalities to make informed integration decisions, although model optimization will not be part of your role. Your contributions will significantly enhance our capacity to reliably deliver new model versions and features to users across all platforms.Willingness to travel up to 10% annually for conferences, off-site meetings, and other business-related events is expected. Participation in on-site interviews and/or in-person onboarding processes may also be required.

Airbyte stands at the forefront of open-source data movement, enabling data teams to seamlessly transfer information from diverse applications, APIs, unstructured sources, and databases to data warehouses, lakes, and AI applications. With tens of thousands of connectors and a widespread adoption across hundreds of thousands of companies, we have demonstrated the viability of large-scale data integration. Our ongoing mission is to construct an advanced agentic data infrastructure, meticulously designed for AI agents requiring swift and accurate access to data across numerous sources. We aim to make data universally accessible and actionable.Having secured $181M from leading investors such as Benchmark, Accel, Altimeter, Coatue, and Y Combinator, we are committed to a product-led growth strategy where we create exceptional solutions that resonate with our users. This funding empowers us to explore innovative avenues while maintaining a nimble and experimental approach in an AI-driven landscape.The Role:As a critical member of the Data Replication team, you will serve as an infrastructure and reliability engineer within a full-stack product team that executes over 3 million sync jobs weekly, facilitating thousands of data use cases across various regions and cloud environments. You will be responsible for building and maintaining the infrastructure, establishing reliability standards, reducing incidents, and streamlining the shipping process for engineers through enhanced tooling. You should feel equally at home working with Terraform files, Kubernetes clusters, and postmortem documentation.We encourage our engineers to actively leverage AI as a force multiplier—utilizing agentic tools to automate repetitive tasks, enhance incident response, and develop smarter internal tooling. If you haven't yet embraced this approach, we hope you're eager to start. We value how you work just as much as what you produce. Trust, transparency, and craftsmanship are paramount here.What You’ll Do:Take ownership of the infrastructure that supports the Data Replication platform, including Kubernetes clusters, CI/CD pipelines, secrets management, networking, and cloud resource configuration across AWS and GCP.Collaborate with product engineers to ensure reliable integration of product features with infrastructure.Enhance observability, alerting, and anomaly detection systems with a focus on LLM automation.Develop and improve AI-augmented release and internal tooling, including canary deployments, progressive rollouts, automated release qualification, and rollback automation—all with a focus on LLM automation.Establish high standards for infrastructure within the team by creating self-serve tools, writing runbooks, and mentoring engineers.

As the Space Shuttle approached the International Space Station, two distinct vehicles, crafted by separate teams across different nations with unique engineering philosophies, had to connect seamlessly. This intricate process, known as Rendezvous, Proximity Operations, and Docking (RPOD), required advanced subsystems capable of managing complex discrepancies like varying power systems, communication protocols, and technical architectures. A failure could result in costly and potentially disastrous outcomes in low Earth orbit. On December 19, 2025, Mercury announced its application to the OCC for a national bank charter alongside an application for FDIC deposit insurance. In essence, Mercury is in the process of establishing a bank. This initiative involves linking our modern, product-oriented engineering systems with enterprise core banking systems and payment networks that were developed in a significantly different era, based on different assumptions and interfaces. The Banking Integration Platform as a Service team at Mercury operates similarly to NASA's RPOD team, crafting our integration subsystems to ensure they are technically sound and operationally reliable. This role is critical to the foundational infrastructure at Mercury. Every account setup, monetary transaction, and balance inquiry will traverse the systems you create. Product teams across the organization will rely on well-defined abstractions that simplify underlying complexities. You will be among the select engineers at Mercury who possess a comprehensive understanding of our Bank Core and its various internal and external integrations. In this position, your responsibilities will include: Creating Mercury’s integration with an FFIEC-approved bank core and establishing connections to payment networks. Designing internal APIs that provide product teams with straightforward, consistent interfaces to complex external systems. Navigating the challenging realities of enterprise integrations, including retries, failures, format discrepancies, and outages. Developing data pipelines that ensure synchronization between Mercury's systems and our bank core. Managing monitoring, alerting, and recovery protocols for our most vital external connections. Collaborating with numerous teams within Mercury to delineate clear boundaries and reliable contracts. Contributing to the architectural design of Mercury Bank.

Join Condor Software as a Full-Stack Platform EngineerAt Condor, we are revolutionizing the financial infrastructure that supports clinical development. With billions invested annually in discovering and developing new therapies, we strive to connect clinical operations and finance into a cohesive system. By integrating real-time financial intelligence, we empower R&D and finance leaders with the tools they need to make informed, high-stakes decisions.We are an AI-driven, pharma-native infrastructure provider, scaling industry standards in collaboration with top-tier partners. Our platform facilitates prediction, control, and execution in the most complex R&D environments worldwide.The Importance of Your RoleHaving established ourselves as a trusted partner for enterprise teams, we are now focused on the challenging task of scaling our platform to meet increasing demands. As a rapidly growing company, backed by prominent investors like Felicis and 645 Ventures, this is a unique opportunity to contribute to the foundational infrastructure that will redefine how therapies reach patients.Your ResponsibilitiesAs a Full-Stack Platform Engineer, you will be pivotal in building and scaling the core platform that supports the financial intelligence infrastructure relied upon by leading biopharma companies. This role encompasses critical engineering tasks at the intersection of backend systems, cloud infrastructure, and intelligent automation, with a strong emphasis on reliability and scalability.Your primary focus will be on backend architecture, where you'll design and implement services that drive complex financial and operational workflows. You'll be instrumental in shaping data flow, workflow orchestration, and enabling emerging AI-driven capabilities. This role goes beyond simple integration; you'll be crafting robust primitives that support other teams as our product and customer base expand.Working as a core member of a cross-functional product team, you will closely collaborate with product managers, designers, quality engineers, and data specialists to transition features from concept to production. While backend expertise is crucial, you will also engage across the stack to ensure the platform's capabilities are effectively leveraged.

Role overview Checkr is hiring a Staff Software Engineer, Integrations to support and enhance the company’s integration services. This position centers on building and refining solutions that connect the Checkr platform with external systems. The goal is to increase both connectivity and operational efficiency. As a member of the engineering team, this person will influence how the platform works with partners and customers. What you will do Design and implement integration features that broaden the platform’s capabilities Work closely with other engineers to deliver solutions that are reliable and easy to maintain Troubleshoot and resolve technical issues related to integrations Spot opportunities for improvement and suggest actionable changes Requirements Strong problem-solving skills and attention to detail Experience developing or maintaining integration services Ability to collaborate effectively within an engineering team Location San Francisco, California, United States

Join Our Team at ConversionAt Conversion, we are pioneering the future of marketing automation through our AI-driven platform, designed specifically for modern software companies. Traditional marketing tools are often outdated and fragmented, leading to ineffective strategies. Our mission is to repair these broken funnels and misaligned messaging.With Conversion, growth teams can manage their entire go-to-market strategy seamlessly within a single interface. From customer acquisition to activation and retention, everything is streamlined, personalized, and enhanced by AI technology.Having secured over $28 million in funding from notable investors like Abstract Ventures, True Ventures, and HOF Capital, we are experiencing rapid growth with over $5 million in ARR and more than 4000 satisfied customers.Our compact yet high-performing team based in San Francisco is looking for passionate individuals who thrive in a creative, product-led marketing environment. If you're eager to collaborate with top-tier talent and contribute to innovative solutions, we want to connect with you!Over $28M raised in funding$0 to $6M ARR achieved in under a year, serving 4000+ customersJoin an elite team with backgrounds from Airbnb, Palantir, Pinterest, IMC Trading, Shopify, LinkedIn, Microsoft, and more

About AnthropicAt Anthropic, we are dedicated to creating AI systems that are not only reliable and interpretable but also steerable. Our mission is to ensure that AI is both safe and beneficial for our users and society at large. Our quickly growing team comprises passionate researchers, engineers, policy experts, and business leaders who collaborate to construct beneficial AI systems.About the RoleWe are seeking talented software engineers to join our Platform organization, where we create foundational tools that enhance product development across Anthropic. You will take ownership of the infrastructure and systems that teams rely on to deliver products reliably and at scale, whether for internal stakeholders or for hundreds of thousands of external users and companies worldwide.This position is ideal for engineers who excel in tackling complex infrastructure challenges and designing systems that are reliable, scalable, and elegant. You will play a pivotal role in defining the performance quality standards for our company, supporting the next generation of LLM-first products, and transforming the developer experience into a best-in-class model.We have several teams actively hiring, and placements will be made post-interview based on your interests and experience, along with our organizational needs. This flexible approach allows us to align talented engineers with the projects where they can have the most significant impact and potential for growth.Platform Acceleration: Your work will focus on maximizing the productivity of our product engineers. You will design and optimize essential development infrastructure that drives our AI product development, including development environments, observability tools, and CI/CD pipelines. Working closely with product teams, you'll identify and eliminate friction points in their development workflows, thus significantly enhancing productivity across our entire product organization and accelerating our mission.Service Infrastructure: We maintain the core systems that underpin Anthropic's engineering efforts, from service mesh and observability systems to deployment pipelines and shared libraries. Our contributions enable product teams to build and operate reliable services at scale, making us a vital multiplier of effectiveness across the entire company.Multicloud: We create and maintain the infrastructure that allows Anthropic to operate seamlessly across multiple cloud providers, emphasizing cloud-agnostic tools, cross-cloud networking, and multi-region deployments.Authentication & Identity: We construct and uphold the critical infrastructure that supports identity management and authentication across Anthropic's platforms.

At Plaid, we envision a future where people's financial interactions are profoundly enhanced. We are committed to driving this change by creating innovative tools and experiences that empower thousands of developers in building their own products. Plaid supports the financial well-being of millions by facilitating seamless connections between users and their financial accounts with the applications they rely on. Our network integrates with over 12,000 financial institutions across the US, Canada, the UK, and Europe. Established in 2013, Plaid is headquartered in San Francisco, with additional offices in New York, Washington D.C., London, and Amsterdam.The Platform Engineering division at Plaid consists of diverse teams focused on essential infrastructure, data management, storage solutions, privacy, and enhancing developer efficiency. Together, these teams ensure that our technology platform remains scalable, robust, and secure to support our rapid expansion. As a Platform Engineer, you will play a vital role in designing, developing, and maintaining the foundational infrastructure and internal platforms that empower all engineering teams at Plaid to innovate swiftly and securely. You will collaborate cross-functionally with product engineering teams to launch new features and uphold operational excellence throughout each product's lifecycle.

In a world where software is rapidly evolving, artificial intelligence (AI) is at the forefront, transforming how we interact with technology. At Scale AI, we recognize the immense potential of AI to enhance human capabilities, offering personalized support across various aspects of life—from coaching and tutoring to shopping and travel guidance. As enterprises, startups, and governments rush to integrate large language models (LLMs) into their operations, it is crucial to ensure these systems are safe, aligned, and effective. This involves rigorous human evaluation and reinforcement learning through human feedback (RLHF) during all stages of model development.Our innovative products, including the Generative AI Data Engine, SGP, and Donovan, are designed to empower the most advanced LLMs and generative models globally. By leveraging world-class RLHF, human data generation, model evaluation, safety, and alignment, we are shaping the future of human-AI interaction.As a member of our Platform Engineering team, you will play a pivotal role in designing and developing the foundational platforms that support Scale's operations. Your responsibilities will include architecting our core cloud infrastructure, enhancing our data lifecycle, and transforming the software development process for engineers at Scale. You will gain invaluable insights into the AI landscape as it develops within diverse sectors.

Mercor’s platform team is looking for a Software Engineer in San Francisco or New York City. The focus is on building and improving the scalable software systems that support the company’s main products. Key responsibilities Design and develop software systems to help the platform grow and stay reliable Add new features and refine existing ones to strengthen platform functionality Collaborate with engineering, product, and design teams to deliver solutions Location This role is based in San Francisco or New York City.

MidiHealth is seeking a Senior Software Engineer to join the Platform Engineering team. This hybrid role is based in the SF Bay Area and centers on building and enhancing the software that drives MidiHealth’s healthcare technology platform. The work contributes directly to improving patient outcomes through technology. Key responsibilities Design and develop software solutions for the core platform Collaborate with engineering, product, and cross-functional teams to deliver integrated features Support the reliability and scalability of the platform Location This position requires regular on-site work in the SF Bay Area as part of a hybrid schedule.

About AnthropicAt Anthropic, we are dedicated to developing AI systems that are not only safe but also interpretable and steerable. Our mission is to ensure that AI serves the best interests of our users and society at large. Our rapidly growing team comprises passionate researchers, engineers, policy experts, and business leaders, all collaborating to create beneficial AI technologies.About the Role:We are seeking skilled software engineers to join our Platform team. This team is responsible for building the essential foundations that enhance product development across Anthropic. We manage the infrastructure and systems that teams rely on for reliable and scalable deployment to both internal users and hundreds of thousands of external clients worldwide.In this role, you will independently define and scope complex, multi-month projects, fostering cross-organizational alignment in ambiguous problem areas. Your architectural decisions will significantly influence the way Anthropic develops and scales its products. You will collaborate closely with research teams to transform cutting-edge capabilities into market-ready solutions, ensuring a lasting impact on our platforms that serve both internal and external engineering teams.Multiple teams are actively hiring, and team assignments will be determined post-interview based on your skills, interests, and the needs of the organization. This flexible approach helps us align talented engineers with backend product initiatives where they can make the most significant impact and experience growth.Your Responsibilities:Platform Acceleration: You will enhance developer productivity for product engineers at Anthropic. This includes architecting and optimizing critical development infrastructure that fuels our AI product development, encompassing development environments, observability, and CI/CD pipelines. You will work closely with product teams to understand their workflows and eliminate friction points, resulting in a profound multiplier effect across the product organization, thus accelerating our mission.Service Infrastructure: You will build and maintain the core infrastructure that supports Anthropic's engineering efforts, ranging from service mesh and observability systems to deployment pipelines and shared libraries. Your contributions will empower product teams to construct and operate reliable services at scale, positioning you as a critical force multiplier within the company.Multicloud: You will develop and sustain the infrastructure that allows Anthropic to function seamlessly across various cloud providers, focusing on cloud-agnostic solutions that enhance our operational efficiency.

Join the Team at Bretton AIBretton AI stands at the forefront of artificial intelligence in the financial services sector, providing an essential platform that organizations like Robinhood, Mercury, and Gusto rely on to streamline critical tasks, including anti-money laundering and counter-terrorism efforts.With over $95 million raised from renowned investors such as Greylock, Y Combinator, and Thomson Reuters Ventures, we are located in the heart of San Francisco. Our talented team hails from prestigious companies including SpaceX, Google, Netflix, Stripe, and Plaid.Your RoleAs a Platform Engineer, you will be instrumental in constructing and maintaining the infrastructure that underpins our compliance solutions at scale. You will take charge of reliability, performance, and scalability across our core platforms.Your responsibilities will include designing Postgres schemas, optimizing queries, developing high-throughput services, orchestrating long-running workflows with Temporal, and ensuring we maintain a commitment to a remarkable 99.9%+ uptime for our clients who process thousands of cases daily.In this role, you'll produce backend code for production, design distributed systems, and manage the infrastructure that allows our product teams to deploy rapidly and efficiently.Key ResponsibilitiesDevelop APIs and services capable of managing thousands of concurrent requests.Create ingestion → assessment → delivery pipelines for our case management.Implement Temporal workflows to manage long-running, stateful processes.Design and refine PostgreSQL schemas and queries for compliance workflows.Oversee CI/CD, deployments, and infrastructure-as-code while enhancing observability through logging, tracing, and metrics.Troubleshoot slow queries, memory leaks, and race conditions in our production systems.What We're SeekingEssential Qualifications4+ years for Engineer / 6+ years for Sr. Engineer / 8+ years for Staff Engineer in backend or infrastructure roles.Strong understanding of systems fundamentals, including distributed systems, databases, APIs, and concurrency.Demonstrated production experience with live systems, including debugging, incident response, and participation in on-call rotations.

Aura is seeking a talented and experienced Senior Software Engineer, Platform to join our innovative team. In this role, you will be responsible for designing and implementing scalable software solutions that enhance our platform capabilities. You will work closely with cross-functional teams to ensure the delivery of high-quality software that meets the needs of our users.

Dagster Labs develops tools that enable organizations to build scalable and efficient data platforms. The company’s core offerings include Dagster, an open-source project popular among developers, and Dagster+, a managed cloud solution. These products support thousands of teams, ranging from early-stage startups to established enterprises, in their analytics, machine learning, and AI initiatives. With the rapid growth of AI, the need for reliable, high-quality data has never been greater. Dagster Labs is dedicated to simplifying the testing, comprehension, and usability of data platforms. Many top AI companies have adopted Dagster as a foundational part of their technology stack. Team culture The team operates with strong funding and a collaborative spirit. High standards, open communication, and a focus on trust and curiosity shape the work environment. The company values a workplace free from egos and unnecessary drama. Locations This is a remote-first company with offices in San Francisco, New York, and Minneapolis.

Role overview MidiHealth seeks a Staff Software Engineer for its Platform Engineering team. This hybrid role is based in the San Francisco Bay Area and centers on building software that supports the platform’s growth, performance, and usability. What you will do Design and develop software solutions that address platform engineering challenges Collaborate with experienced engineers to improve reliability and expand platform features Contribute to efforts that boost performance and create a smooth user experience Location This position requires a hybrid schedule, including on-site work in the SF Bay Area.

In a world where software is rapidly evolving, artificial intelligence is at the forefront of this transformation. At Scale AI, we recognize the immense potential of AI to significantly enhance human capabilities. Imagine having a personal tutor, coach, assistant, shopper, travel guide, and therapist available to you throughout your life. As global industries adapt to this revolutionary landscape, leading platform companies are racing to develop large language models (LLMs) at an unprecedented scale, while enterprises strive to integrate these technologies into their existing products. Ensuring these models are safe, aligned, and genuinely useful requires meticulous human evaluation and reinforcement learning from human feedback (RLHF) throughout their development cycle. This innovative approach has given ChatGPT a substantial advantage in the marketplace.At Scale, our offerings include the Generative AI Data Engine, SGP, Donovan, and other advanced tools that drive the most sophisticated LLMs and generative models globally. Our world-class RLHF, human data generation, model evaluation, safety, and alignment are crucial in shaping how humanity will interact with AI.The backbone of these products is our Platform Engineering team. As a Staff Software Engineer, you will play a pivotal role in defining and executing the architectural roadmap and implementation of essential platforms and software systems. You will provide a visionary approach while promoting adoption across our engineering organization for orchestration, data abstraction, data pipelines, identity and access management, and foundational cloud infrastructure. This role offers the opportunity to engage with cutting-edge AI advancements as Scale collaborates with enterprises, startups, governments, and leading tech companies.