Production Dx Engineer Jobs

About Prodigal Prodigal is the connected AI platform leading financial institutions use to run their operations. We work with banks, lenders, credit unions, and other financial companies that lend money to people and manage those relationships over time. These institutions make millions of high-stakes decisions every day. Who should they reach? When should they reach them? What should they say or offer? When should a case move to a human? How should that change based on the borrower, the account, previous interactions, and the regulations involved? Getting those decisions right requires a deep understanding of the people, processes, rules, and edge cases behind them. Prodigal has spent the last eight years building that understanding. More than a billion interactions between financial institutions and their customers have shaped the intelligence, guardrails, and AI agents we now run in production across North America. Today, our AI agents analyze conversations, capture context, guide human agents, decide the next action, conduct customer conversations, orchestrate outreach, and help people complete payments and resolutions. They are connected, so what is learned in one interaction can inform what happens next. We are expanding this swarm of AI agents across more of the work financial institutions do: originations, document processing, back-office workflows, servicing, and other critical operations where money, identity, people, and regulation intersect. We are backed by Y Combinator, Accel, and Menlo Ventures, and work with 100+ financial institutions across North America. Listen directly from our CTO, Cofounder - Sangram Raje About The Team You’ll join Prodigal’s Strategy & Operations team, the consulting arm of the company. We partner with creditors in consumer finance (Banks, NBFCs & BNPLs and debt collection agencies) to transform how they engage with consumers using data-driven insights and AI-powered workflows. The team sits at the intersection of prod

About the Team The OpenAI Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives. About the Role As a Research Engineer, Distributed Data Systems, you will design and scale the infrastructure that powers large-scale multimodal training and evaluation at OpenAI. You’ll manage distributed data pipelines, collaborate closely with researchers to translate requirements into robust systems, and harden pipelines that serve as the backbone for OpenAI's rapid iteration cycles. We’re looking for engineers who are detail-oriented, have strong experience with distributed systems, and excel at building reliable infrastructure in high-stakes environments. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure, machine learning infrastructure while ensuring scalability, reliability, and security. Ensure our data platform can scale by orders of magnitude while remaining reliable and efficient. Partner with researchers to deeply understand requirements and translate them into production-ready systems. Harden, optimize, and maintain critical data infrastructure systems that power multimodal training and evaluation. You might thrive in this role if you: Have strong experience with distributed systems and large-scale infrastructure with a strong interest in data. Are detail-oriented and bring rigor to building and maintaining reliable systems. Demonstrate excellent software enginee

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. Our ultimate goal is to be a leader in democratizing access to private and public equity markets by making those assets available on-chain and be tradable 24/7. As a Staff Software Engineer in this role, you will work on the most critical projects across Tokenization, Robinhood Chain, and the Robinhood Wallet. Most importantly, you will proactively coach and uplift other team members, drive engineering excellence, and set the highest bar for quality. This role is based in our Toronto office, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do Own the technical vision and execution for Robinhood Chain, the Tokenization Engine, and the Robinhood Wallet Design, build, and operate the core services that power Robinhood Chain, the Tokenization Engine, and the Robinhood Wallet Remain deeply hands-on by writing production code, leading complex implementations, and setting the standard for engineering quality across the platform Improve

100% Remote | Senior Frontend Engineer | Fintech SaaS Firm About the Role We’re looking for a Senior Frontend Engineer to build and maintain scalable, high-performance user interfaces for our communication platform. You’ll work closely with backend engineers, designers, and product managers to deliver exceptional user experiences while keeping performance, maintainability, and scalability at the core. What You’ll Do Develop and maintain responsive UIs using React JS, TypeScript, JavaScript, HTML5, and CSS. Collaborate with cross-functional teams to design and deliver high-quality features. Write clean, maintainable, and well-documented code. Optimize performance with caching and other best practices. Review code, mentor peers, and uphold coding standards. Debug and troubleshoot production issues promptly. Stay current with frontend trends and bring innovative ideas to the team. Job qualifications: 3–8 years’ experience in web development with a focus on scalability. Expert in React JS, JavaScript, TypeScript, HTML5, and CSS. Strong grasp of responsive design, performance optimization, and client-side session management. Familiarity with Git, CI/CD, and distributed development. Excellent problem-solving and collaboration skills. Preferred/Bonus Skills Experience with React Native or other mobile development frameworks. Familiarity with state management libraries like Redux or Zustand. Experience with modern build tools such as Webpack or Vite. A strong portfolio or active GitHub profile showcasing previous work. Why Join Eltropy? Join a high-impact team building mission-critical backend systems for financial institutions. Work on modern technology stacks in a fast-growing SaaS company. 100% remote work with a collaborative, engineering-led culture. Opportunity to own and influence core backend architecture. About Eltropy Eltropy is a rocket ship FinTech on a mission to disrupt the way people acc

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. Our ultimate goal is to be a leader in democratizing access to private and public equity markets by making those assets available on-chain and be tradable 24/7. As a Staff Software Engineer in this role, you will work on the most critical projects across Tokenization, Robinhood Chain, and the Robinhood Wallet. Most importantly, you will proactively coach and uplift other team members, drive engineering excellence, and set the highest bar for quality. This role is based in our Menlo Park, CA or New York, NY office(s), with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do Own the technical vision and execution for Robinhood Chain, the Tokenization Engine, and the Robinhood Wallet Design, build, and operate the core services that power Robinhood Chain, the Tokenization Engine, and the Robinhood Wallet Remain deeply hands-on by writing production code, leading complex implementations, and setting the standard for engineering qua

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. Welcome to the video first world! From your everyday PowerPoint presentations to Hollywood movies, AI will transform the way we create and consume content. Today, people want to watch and listen, not read — both at home and at work. If you’re reading this and nodding, check out our brand video . Despite the clear preference for video, communication and knowledge sharing in the business environment are still dominated by text, largely because high-quality video production remains complex and challenging to scale—until now…. Meet Synthesia We're on a mission to make video easy for everyone. Born in an AI lab, our AI video communications platform simplifies the entire video production process, making it easy for everyone, regardless of skill level, to create, collaborate, and share high-quality videos. Whether it's for delivering essential training to employees and customers or marketing products and services, Synthesia enables large organizations to communicate and share knowledge through video quickly and efficiently. We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2 . In 2023, we were one of 7 European companies

We are seeking a highly technical Product Security Engineer to join our Public Sector Infrastructure & Security team. Our Product Security Engineers ensure the security and integrity of our products and services. You will conduct in-depth code reviews, implement security best practices, and influence the overall security strategy. Your expertise in TypeScript, Python, Kubernetes, CI/CD, SAST, DAST, and terraform orchestration will be crucial in identifying and mitigating potential security vulnerabilities. You will also structure complex problems, diagnose root causes independently, and clearly explain the mechanics and significance of security vulnerabilities, including their exploitability and potential impact. You will: Conduct in-depth code reviews to identify and remediate security vulnerabilities. Evaluate and enhance the security of our product offerings, through RFC and service review. Implement and maintain CI/CD pipelines with a strong focus on security. Perform Static Application Security Testing (SAST) and Dynamic Application Security Testing (DAST) to identify vulnerabilities in production code. Utilize terraform orchestration to ensure secure and efficient infrastructure management. Guide engineering teams to build robust long-term solutions that consider security and privacy. Clearly explain the mechanics and significance of security vulnerabilities, including their exploitability and potential impact. Influence the security strategy and direction of the team, advocating for best practices and continuous improvement. Ideally, you’d have: at least a Secret level government security clearance Proven experience as a Security Engineer with a focus on product security. Proficiency in NodeJS, TypeScript, Python, and/or Kubernetes. Strong understanding of modern Javascript application design. Production experience with Kubernetes backed services Hands-on experience with SAST and DAST tools and methodologies. Familiarity with terraform orchestration for i

MongoDB is seeking a Senior Software Engineer to join the Atlas Clusters Organization. The organization is responsible for building MongoDB Atlas, our database as a service offering and fastest growing product. Atlas allows users to deploy fault-tolerant, secure, globally distributed MongoDB clusters in just minutes. This includes developing software to interface with the three major cloud providers (AWS, Azure, and GCP) in order to bring security, durability, availability, and performance to all deployments of MongoDB. We are forming a new Atlas Clusters team in the Dublin area. We are looking to speak to candidates who are based in Dublin for our hybrid working model. What you’ll do Build and design new features for MongoDB Atlas Contribute to and lead complex technical projects Work with stakeholders throughout MongoDB to build our roadmap and product offerings Work with customers and support engineers to fix issues and become part of our on-call rotation Collaborate with team members to develop our codebase, best practices, and design principles Foster an inclusive and respectful work environment according to MongoDB's Core Values We’re looking for someone who Has at least 6 years of professional software development experience Is skilled at writing large-scale, distributed backend systems in a compiled language (Go, Java, C#, etc.). Has experience with at least one major cloud provider technology (AWS, Azure, GCP) Has led the launch of a new module and maintained it in production Is eager to solve tough problems Has excellent communication skills Is curious, collaborative, and motivated Success Measures In 3 months, you'll have shipped code into production and collaborated with the team to solve tough problems In 6 months, you'll have contributed to a large project and joined our on-call rotation In 12 months, you'll have designed new features, led development work, and become a go-to expert on parts of the system About MongoDB MongoDB is built for

Opportunity Overview: The RN Reviewer position is a crucial role in our organization — in this role you are responsible for performing a full range of activities that will positively impact the organization and contribute to guiding the strategic operations for the company. As an RN Reviewer, you will perform prospective review (prior authorization) admission, concurrent, and retrospective reviews according to established criteria and protocols to determine the medical appropriateness of the clinical requests from providers. You will work closely with Medical Directors and other Cohere Health staff to ensure appropriate cost-effective care by applying your clinical knowledge and critical thinking skills to assess the medical necessity of inpatient admissions, outpatient services and procedures, and provider out of network requests. You will be required to review Commercial, Medicare, and Medicaid lines of business. You will need to be an agile and comprehensive thinker and planner and be able to work in an environment that is in flux. This position offers the ability to make a substantive mark in simplifying the way healthcare is delivered and contributes to an up and coming company with exponential growth opportunity. What you'll do: Review medical necessity for inpatient, concurrent, prior auth, and retrospective cases to ensure appropriate, high-quality care Collaborate with Medical Directors and providers to align on clinical decisions Document reviews accurately and meet production/quality goals Apply MCG, Cohere, and coverage guidelines to ensure compliance and consistency Partner across teams (Operations, Product, Quality, Health Plans) to improve processes and outcomes Identify opportunities for care management or quality improvement programs Support accreditation, regulatory, and quality initiatives What you'll need: Strong communication and collaboration skills across remote teams Customer-focused mindset and ability to stay calm under pressure

Senior Azure Data Engineer ( Databricks ) Location: London (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent Engineer advanced data solutions at scale in a world-class consulting environment. The Role As a Senior Azure Data Engineer ( Databricks ) at Capco, you will play a hands-on role in designing, building, and deploying scalable and secure data engineering pipelines using the Databricks platform on Azure . You'll partner with clients to understand their data needs and develop innovative solutions that drive business transformation. You'll also contribute to engineering best practices and continuous improvement across cross-functional teams. Databricks platform on Azure . You'll embrace AI-enabled ways of working, using approved AI and automation tools where appropriate to improve engineering productivity, accelerate delivery, and enhance solution quality while applying sound engineering judgement and responsible AI practices. What You'll Do Design and develop robust data pipelines using Delta Lake, Spark Structured Streaming, Unity Catalog, and Azure -native services. Build real-time, event-driven solutions using technologies such as Kafka and Azure Event Hubs, applying AI-enabled engineering approaches where appropriate to improve delivery efficiency. Develop and maintain CI/CD pipelines using Azure DevOps, Jenkins, GitHub Actions, and modern DevOps practices to support reliable deployments. Collaborate with clients and multidisciplinary teams to translate business requirements into scalable, production-ready data solutions. Champion clean code, data lifecycle optimisation, engineering best practices, and the responsible use of approved AI tools and automation to improve collaboration and delivery. What We're Looking For Proven hands-on experience with the Databricks platform, including orchestration and enterprise-scale Azure data engineering solutions. Strong technical skills in Python , PySpark , and SQL, with experience wor

Principal Data Engineer – AWS Location: London (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent Engineer future-ready data platforms that power financial transformation. The Role We’re looking for a Principal Data Engineer with AWS to join our growing team of engineering experts driving next -generation transformation for Tier 1 financial services clients. You’ll play a pivotal role in designing, building, and deploying cloud-based data pipelines that enable trusted, scalable data platforms. Working across greenfield initiatives and enterprise-scale programmes, your work will directly influence how data is ingested, transformed, and consumed across the financial services industry. You'll also embrace AI-enabled ways of working, using approved AI and automation tools where appropriate to enhance productivity, improve delivery quality, and accelerate engineering outcomes while applying sound engineering judgement and responsible AI practices. What You’ll Do Design and build end-to-end data pipelines using AWS -native services and modern cloud data architectures, ensuring scalable, secure, and resilient solutions. Partner with clients and cross-functional teams to understand business requirements, define technical solutions, and deliver production-grade data platforms. Apply AWS Well-Architected Principles, engineering best practices, CI/CD, and AI-enabled development approaches to improve quality, efficiency, and operational excellence. Lead the development of robust, tested, fault-tolerant data engineering solutions while promoting responsible engineering standards and governance. Mentor engineers, share technical expertise, and encourage the effective and responsible use of approved AI tools and automation to enhance collaboration and delivery. What We’re Looking For Strong proficiency in Python , Scala , or Java , with hands-on experience of Big Data technologies including Spark , Hadoop , or similar distributed processing frameworks. Experi

Senior Data Engineer – AWS Location: London (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent Engineer future-ready data platforms that power financial transformation. The Role We’re looking for a Senior Data Engineer with AWS to join our growing team of engineering experts driving next -generation transformation for Tier 1 financial services clients. You’ll play a pivotal role in designing, building, and deploying cloud-based data pipelines. Working across greenfield projects and enterprise-scale platforms, your work will directly impact how data is ingested, transformed, and served at scale across the financial services industry. You'll also embrace AI-enabled ways of working, using approved AI and automation tools where appropriate to improve engineering productivity, accelerate delivery, and enhance solution quality while applying sound engineering judgement and responsible AI practices. What You’ll Do Design and build end-to-end data pipelines leveraging AWS -native services and modern data architectures. Collaborate with clients to gather requirements, define technical solutions, and deliver production-grade systems that meet business needs. Apply AWS Well-Architected Principles, CI/CD practices, and AI-enabled engineering approaches to deliver scalable, secure, resilient, and high-quality solutions. Develop robust, tested, and fault-tolerant data engineering solutions while promoting engineering best practices and data governance. Mentor junior engineers, contribute to knowledge sharing, and encourage the responsible use of approved AI tools and automation to improve collaboration and delivery. What We’re Looking For Strong proficiency in Python , Scala , or Java with hands-on experience in Big Data technologies including Spark , Hadoop , or similar distributed processing frameworks. Practical experience building real-time event streaming pipelines using technologies such as Kafka , Spark Streaming, or Amazon Kinesis within AWS en

Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done. Airtable’s infrastructure is evolving to meet the needs of our fast growing engineering org. We are looking for infrastructure engineers to join our team to help improve critical product infrastructure, with a focus on building systems that have a great developer experience and will scale as we grow. We currently have openings on: Asynchronous Serving: The Asynchronous Serving team is scaling critical systems used by Airtable’s most essential and up-and-coming product features, especially AI features. Upcoming projects include refactoring our background task queue to track its tasks in DynamoDB, adding quality of service to the job queue, and revamping a streaming service to handle 10x scale while being more resilient. Compute: The compute pod builds and manages our Kubernetes-based platform that supports every service at Airtable, including all new AI services such as vector databases, AI evals store, and document extraction and understanding services. We have a lot of exciting foundational work in our roadmap, such as Overhauling our network stack and service discovery, to simplify service setup and strengthen security Region level disaster recovery, and bringing up compute platform from 0->1 in a new region Building custom Kubernetes operators for reliably managing some of our most critical workloads Developer Platform : The Developer Platform team sits at the intersection of all engineering at Airtable, focusing on building the internal tooling, frameworks, and CI/CD systems that power our product teams. We strive to streamline developer workflows - from build and test cycles to production deployments—and foster a best-in-class developer experience. Join us if you’re passionate about creating high-lever

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As a Staff Frontend Engineer, you will work with your team and product management to make insights from data simple. We are looking for engineers that are customer obsessed, who can take on the full scope of the product and user experience beyond the technical implementation. You'll set the foundation for how we build robust, scalable and delightful products. Below are some example experiences you'll create for our customers to achieve the full project lifecycle from loading data, visualizing results, creating statistical models, and deploying as production artifacts. Design and ship reusable UI primitives and component patterns that behave consistently across consoles, enabling a write‑once, run‑anywhere model. Define application bootstrapping and cross‑surface navigation primitives that abstract console boundaries while enforcing correct AuthZ and routing. Deliver unified frontend data clients and service components. Create, deploy, test, and upgrade platform components that power complex frontend data exploration and visualization experiences. Provide reference patterns, templates, and tests that standardize portability, reduce rework, and accelerate delivery of cross-surface features. Partner with feature teams to land single‑console experiences and migrations on the platform (from pilot pages to scaled adopt

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Federal SRE Team We are looking for an experienced Staff Site Reliability Engineer to join Okta's Federal SRE team for the Emerging Products Group (EPG). Our mission is to build highly reliable, scalable, and secure cloud services that our customers can trust. We embrace an automation-first mindset and continuously invest in platform engineering, observability, and operational excellence to enable our engineering teams to move quickly and safely. The Staff SRE, Classified Opportunity This role is ideal for an engineer who enjoys solving complex technical challenges at scale, building automation, and improving the reliability of production systems. You will serve as a technical leader within the EPG SRE organization, partnering closely with software engineers, architects, and product teams to design, build, and operate world-class cloud services. The ideal candidate exemplifies the philosophy of "if you have to do it more than once, automate it" and possesses a strong passion for continuous improvement, operational excellence, and software engineering. Security Clearance: Active U.S. TS/SCI clearance with Full Scope Poly Compliance Expertise: Proven experience navigating Federal and DoD compliance frameworks, specifically FedRAMP and Impact Level 6 (IL6) What You’ll Do Work with various teams to design and implement scalable, and reliable network solutions Maintain a highly available cloud infrastructure edge for the Okta identity platform Col