Production Dx Engineer Jobs

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Software Engineer II Overview Responsible for analysing, designing, developing, testing, and delivering secure, scalable software solutions that meet business needs and Mastercard engineering standards. Drives innovation, quality, and operational excellence while collaborating across global teams. Role In this position, you will: • Design and develop high-quality software solutions aligned with Mastercard standards and best practices. • Own end-to-end SDLC activities, including requirements analysis, design, development, testing, deployment, and production support. • Lead troubleshooting, root cause analysis, and resolution of production incidents. • Participate in architecture discussions, technology evaluations, and Proof of Concepts (PoCs). • Drive quality through code reviews, security reviews, testing, and engineering best practices. • Mentor team members and promote technical knowledge sharing. • Collaborate effectively with cross-functional and geographically distributed teams. All About You • Bachelor's degree in Computer Science, Engineering, Information Technology, or related field. • 3-5 years of experience in software engineering. • Experience building secure, scalable, and resilient applications; Financial Services experience is preferred. • Strong

Joining Capco means joining an organisation that is committed to an inclusive working environment where you’re encouraged to #BeYourselfAtWork. We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It’s important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table – so we’d love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help. About Capco Capco is a global technology and business consultancy, focused on the financial services sector. We are passionate about helping our clients succeed in an ever-changing industry. We're looking for a senior software engineer with strong ML and GenAI skills to deliver end-to-end machine learning solutions for our financial services clients. You'll own the full lifecycle — from data pipelines and model development through production deployment and monitoring — working autonomously in complex, regulated environments. This is your chance to make a real difference! YOUR CAPCO DAY Design and build end-to-end data pipelines and feature engineering workflows on large-scale transactional data in regulated client environments Train, calibrate, and validate ML models — supervised, unsupervised, and ensemble — including threshold analysis and production-grade explainability Develop GenAI-powered solutions such as agentic workflows, RAG systems, and LLM-based automation to accelerate knowledge-intensive client processes Deploy and monitor models in production with drift detection, performance tracking, and multi-env

Data Science Manager Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent Shape intelligent solutions. Lead with insight. Drive data innovation. The Role We’re looking for a Data Science Manager to lead innovative projects that apply data, AI, and machine learning to solve complex challenges across financial services. You’ll guide talented data professionals, collaborate closely with business stakeholders, and drive impactful, scalable solutions that deliver measurable business value. You'll champion AI-enabled ways of working, encouraging the responsible use of approved AI tools and automations to improve delivery quality, productivity, and insight while maintaining appropriate human oversight and governance. What You’ll Do Lead data science teams to design, develop, and deploy advanced machine learning and AI solutions. Drive the adoption of cutting-edge technologies including generative AI, LLMs, and agentic AI frameworks, while promoting responsible AI practices, governance, and appropriate human review throughout the delivery lifecycle. Collaborate with business and technology teams to align technical outcomes with strategic goals, leveraging AI-enabled workflows where appropriate to accelerate insight and delivery. Provide thought leadership and best practices across the data science lifecycle, from exploration to deployment, including scalable MLOps, model governance, and responsible AI implementation. Mentor and develop data professionals, fostering a culture of innovation, continuous learning. What We’re Looking For Proven experience leading the delivery of data science or AI projects from concept to production. Strong knowledge of Python and core ML libraries (e.g., spaCy, NumPy, SciPy, Transformers). Understanding of big data and cloud technologies (Spark, Hadoop, Azure, AWS, or GCP). Deep expertise in MLOps principles, scalable model deployment, model governance, and the practical application of responsible AI within enterpri

Business Analyst – OpenLink Location: Houston, Texas | Practice Area: Business Consulting | Type: Permanent Deliver impactful energy trading solutions by bridging business needs and OpenLink technology The Role As a Business Analyst within Capco’s Business Consulting practice, you will support clients in the energy sector by translating business requirements into effective OpenLink solutions. You will work closely with stakeholders and technology teams to deliver high-quality consulting outcomes, supporting system implementations and transformation initiatives across trading environments. What You’ll Do Facilitate client workshops, interviews, and analysis to gather and document requirements Develop business requirements, functional specifications, and process documentation Analyze current and future state processes to identify gaps and improvement opportunities Support testing, training, and go-live activities to ensure successful delivery Produce clear consulting deliverables including reports, presentations, and proposals What We’re Looking For Experience as a Business Analyst with OpenLink implementation and configuration Strong skills in requirements gathering, process mapping, and stakeholder engagement Ability to translate business needs into functional and technical specifications Experience supporting testing cycles, user training, and production rollout Bachelor’s degree in a relevant field such as Business, Finance, or Technology Bonus Points For Experience within a management consulting environment Background in energy, utilities, or trading domains Experience contributing to business cases, proposals, or reusable consulting assets Familiarity with project delivery methodologies and lifecycle management Basic scripting or technical understanding to support system analysis Why Join Capco Deliver high-impact technology solutions for Tier 1 financial institutions Work in a collaborative, flat, and entrepreneurial consulting culture Access continuous

About Graphcore At Graphcore, we’re building the future of AI compute. We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. The Person Graphcore’s experienced, skilled, and motivated engineering team is heavily involved in shaping the future of AI. A successful candidate will exhibit exceptional knowledge in Design for Testability (DFT) and will have a strong technical background and experience in DFT methodologies, complemented by a robust, self-motivated work ethic. The ideal candidate should also have a focus on quality and demonstrate a good understanding of the importance of production test on the success of a product. Some hands-on experience in one or more of the following areas is essential: RTL design, simulations and debugging, synthesis, STA. The Role: We are expanding and looking for an experienced DFT engineers to join the Silicon team. As a part of our team, you will have the opportunity to work on next-generation AI designs targeted for data centers applications. Responsibilities: Keep up with the latest industry trends in DFT domain and help adopt the latest DFT techniques and methodologies Work closely with design, verification, physical design and product engineering teams to integrate DFT requirements into the overall design process Define and implement DFT architecture and features for next-generation AI des

About us At Graphcore, we’re building the future of AI compute. We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary Reporting to Senior Director of Post Silicon Validation, the Debug Validation Engineer will drive post-silicon debug and validation activities for next-generation AI compute silicon and systems. You will lead teams passionate about identifying, reproducing, analyzing, and resolving complex silicon, firmware, and system-level issues during bring-up, characterization, and product readiness. This role combines deep technical debugging expertise with strong cross-functional collaboration across multiple engineering fields. The Team The Post-Silicon Debug and Validation team manages bring-up, fault diagnosis, and validation of Graphcore silicon and systems. Our team participates throughout the entire product lifecycle, supporting initial silicon bring-up, subsystem validation, system integration, and production readiness tasks. We coordinate closely with hardware, firmware, software, and systems teams to examine complex failures, develop debug strategies, and advance validation infrastructure. Responsibilities and Duties Lead post-silicon debugging and validation efforts for AI compute silicon and platform technologies Contribute to debug and validation activities across multiple projects and achievements Analyze and address intricate sili

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role We are seeking a Senior AI Engineer to join our AI Platform team. The AI Platform team is focused on enabling and building disruptive, innovative solutions to transform the wealth technology landscape with AI across our product suite and is growing quickly. As a Senior AI Engineer, you will be responsible for architecting, leading, and driving the execution of the core AI capabilities that power our platform. This is a high-impact role for an engineer who thrives on the frontier of applied AI and maintains a relentless focus on shipping. You will not just work with LLMs and agentic frameworks; you will own the end-to-end delivery of AI-native products, ensuring that cutting-edge AI systems are hardened into robust, scalable, and high-performance production systems. Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role. What You’ll Do Drive the end-to-end execution and delivery of AI-native products, moving from initial prototype to scalable production services with high velocity Architect, build, and productionize core components of our AI platform – including: LLMs and the surrounding ecosystem (e.g., vector DBs, pr

About the Role We're looking for a software engineer to build the Kubernetes-native control plane that provisions and runs our GPU inference fleet. You'll design a manifest-driven API where the inference team declares what they need, whether that's a cluster, a model deployment, or a capacity change, and our controllers handle the reconciliation, provider/runtime selection, and lifecycle management underneath, so the inference team never has to know or care which specific serving stack, scheduler, or hardware pool is doing the work. You'll also build the systems that keep the fleet efficient, not just running, including defragmentation and rebalancing logic that consolidates scattered workloads back into contiguous capacity, and scheduling/bin-packing improvements that push GPU utilization up without hurting latency. The core value we're after is decoupling the people building on top of the platform from the operational and runtime complexity underneath, while squeezing more usable capacity out of the same hardware. You'll build the controllers, reconciliation loops, and self-service surface (API/CLI, not tickets) that make that decoupling real, plus the event-driven health, remediation, and utilization systems that keep it running and efficient without a human in the loop. Strong candidates have hands-on experience with Kubernetes controller/CRD patterns, have built or operated a platform API that abstracts multiple backends behind one interface, understand GPU scheduling and capacity efficiency (fragmentation, bin-packing, right-sizing), and think about GPU infrastructure as software to be engineered. A product mindset - you've built internal platforms or APIs consumed by other engineering teams and care about the developer experience of what you ship. You build it, you own it. You are not only responsible for delivering the software but also for operating and supporting it in production. Responsibilities Build the provisioning state machine: design and implement

About the Role Together AI is hiring a Staff Platform Infrastructure Engineer to drive the service and platform infrastructure strategy across our engineering organization. This is a hands-on technical leadership role with the opportunity to establish a new team and shape its direction, defining the golden path for how services are built and operated at Together. This role will support mission-critical Product and Platform teams by providing a stable, scalable service infrastructure foundation for building and operating customer-facing and internal services. The focus is on making that foundation reliable, repeatable, and easy for teams to adopt. You'll own and evolve crucial shared infrastructure, roll out new infrastructure patterns and platform capabilities to service teams, and coordinate with other infrastructure teams to ensure services are built on company-wide foundations. In your first year, you might: Ship a new golden-path service template (scaffolding, Helm chart, CI/CD, and GitOps) and move the first set of services onto it. Implement zero-trust policies on our production clusters. Collaborate with DevProd and SREs on the migration to Kargo. Hire and grow the initial Platform Infrastructure team. Responsibilities Set the technical direction for service infrastructure across Kubernetes, AWS, CDN and edge networking, and related operational patterns. Design and build reusable infrastructure primitives, such as Helm charts and Terraform modules. Build self-service platform capabilities, operational runbooks, and AI-assisted tooling that accelerate service development and operations. Partner closely with service teams to modernize existing services and adopt stronger infrastructure patterns. Work with Infrastructure, Networking, and Security teams to translate company-wide platform standards into practical service-level implementations. Lead cross-company infrastructure initiatives such as Terraform CI/CD, Kubernetes networking, zero-trust service communica

About the Role In this role, you will operate, scale, and optimize multi-petabyte storage systems purpose-built for the world’s largest AI training and inference workloads. You’ll manage and scale high-performance parallel filesystems and object stores, evaluate and integrate cutting-edge technologies such as Vast, Weka, Ceph, and Lustre, and solve the complex engineering challenges of operating at extreme throughput, low-latency data paths, and massive cluster-scale storage operations. You will also build Kubernetes-native storage operators and self-service platforms that provide automated provisioning, strict multi-tenancy, performance isolation, and quota enforcement at cluster scale. Day-to-day, you’ll optimize end-to-end data paths for 10-50 GB/s per node, design multi-tier caching architectures, implement intelligent prefetching and model-weight distribution, and tune parallel filesystems for AI workloads. Responsibilities Architect and implement the technical strategy and storage roadmap for Together AI, driving high-performance architectural decisions as we scale our GPU fleet. Engineer and scale multi-petabyte AI/ML storage systems by integrating Vast, Weka, and Ceph while executing deep cost optimization through automated tiering and lifecycle policies. Develop intelligent caching and tiered storage architectures to achieve extreme IOPS and cluster-wide throughput at GPU scale for training and inference workloads. Tune storage isolation at the L2/L3 network layers to ensure secure, production-grade multi-tenancy for storage clients. Code Kubernetes storage operators and controllers to enable automated provisioning, self-service abstractions, and quota enforcement. Engineer end-to-end data paths to achieve 10+ GB/s per GPU node; architect multi-tier caching for model weights and datasets; tune parallel filesystems using advanced profiling; and scale storage infrastructure across thousands of nodes. Optimize end-to-end data paths through advanced

Toradex is a global company strongly focused on engineering & technology. We’re powered by a diverse & uniquely gifted workforce. We pursue the best people to propel our innovative vision of embedded computing and IoT. If you’re interested in being a driving force at an agile technology company, engineering clever computing solutions & helping other companies bring their products to life, we should talk. About the team Torizon Cloud is a platform that delivers over-the-air software updates to embedded Linux devices in the field. Our users are companies running fleets of industrial and robotics hardware. They use our platform to publish updates on physical machines they can't easily reach so reliability is a key selling point of our product. The team is small, distributed, and motivated! You'd be joining a group of engineers who own the platform end to end - the backend services and the infrastructure they run on. We have big aspirations as a team and our product is scaling! What you'll do Own and care for the Kubernetes deployments of our Torizon OTA services. We have various services (mostly scala services), Kafka/Red-Panda messaging system. Manage infrastructure as code with Terraform/OpenTofu. Build and maintain CI/CD pipelines, container builds, automated testing, and promotion across staging and production environments. Push our devops practice forward: declarative, reviewed, reproducible environments, and fewer things that depend on someone remembering a manual step. Improve observability and how we handle incidents: metrics, logs, alerting, and the follow-through after something breaks. Help us expand and evolve our testing frameworks and pipelines. Work with fellow team-mates to evolve deployability, database migrations, safe rollouts, and outage investigations. What we're looking for Advanced English communication skills, written and spoken Available to work Hybrid from Toradex Office in Campinas/SP. Kubernetes in production. Not just fam

About Us OpenFX is on a mission to move money as freely as data, unrestricted by time zones, banking hours, or legacy systems. We are building the infrastructure that will power the next generation of cross-border payment systems for institutions. The team's execution has been exceptional, and we're scaling at a remarkable pace. Our stellar early team comes with experience in companies like J.P. Morgan, Goldman Sachs, FalconX, PayPal, Affirm, Polygon, Kraken, Nium & others. We're backed by Accel, Lightspeed, NfX and other top-tier investors. Role Overview OpenFX processes billions of dollars in transaction volume every month across global corridors. Application Platform owns the layer every other team builds on: the API gateway, authentication and session security, the admin surface, API standards and governance, identifiers, and the observability that makes production legible. This is where the company's constraints collide. Security requires strong customer authentication, mTLS, and session controls. Product teams need to ship weekly. Auditors and cyber insurers need access controls and evidence. Engineering needs deployment hygiene that does not silently drift. Today these get resolved case by case, in meetings, at the cost of speed. If we do not solve this well, every product team pays a tax in ambiguity, and one bad gateway or auth change becomes an outage on the money path. Key Responsibilities Run the Application Platform pod of roughly 8 to 15 engineers and QA, with a Tech Lead reporting to you. You own the roadmap, the standards, and the on-call posture. Own the API gateway and edge: routing, plugins, rate limiting, mTLS and HMAC, and rollout strategy for changes sitting in front of production traffic with a rollback path that has actually been exercised. Own authentication and session security: strong customer authentication, re-authentication, new-device gating, session revocation, API key and credential management. Own API standards and governance: t

Job Overview Wargaming is looking for a Gameplay Engineer to work in the World of Warships Meta Team in our Belgrade office. The Meta Team develops and maintains long-term, player-facing systems, including meta-gameplay activities, player progression and property, combat missions, achievements, and statistics. The work spans the game client and supporting backend systems, focusing on meta-gameplay rather than moment-to-moment combat. Most feature and business logic is written in Python. We value clear thinking, the ability to understand unfamiliar systems, and a willingness to learn more than experience with any particular framework. You will join through a proven onboarding path and progressively take ownership of feature delivery in a large, established system. What will you do? Own features from requirements clarification and design through implementation, release, and maintenance Develop and maintain meta-gameplay features across client and backend systems Work with persistent state, asynchronous flows, and integrations Investigate bugs, state inconsistencies, and production issues Collaborate with game design, product, QA, production, and engineering teams What are we looking for? Practical software development experience, professional or through substantial self-directed projects Ability to understand and safely modify unfamiliar code Understanding of data modelling, stateful and asynchronous applications Ability to clarify requirements and communicate technical findings clearly Self-directed learning, curiosity, and strong communication skills Technical English for documentation, code, and comments Readiness to work in Belgrade, Serbia Technology stack Game server/client development: Python 2.7, proprietary pipelines Web development: Python 3.10+, asyncio What additional skills will help you stand out? Experience with FastAPI or Django Knowledge of Golang or C++ Understanding of frontend development with JavaScript/TypeScript Experience maintain

We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Step Into the Multiverse: Your Next Adventure Starts Here At Wizards of the Coast , we harness the power of imagination and connection to create unforgettable experiences. We create entertainment that inspires creativity, sparks passion, forges friendships, and fosters communities around the globe. In every pursuit our mission is to inspire a lifetime love of games. Whether it's through the strategic depth of Magic: The Gathering® , the rich storytelling of Dungeons & Dragons® , or our AAA digital game studios, we build worlds that bring people together, spark creativity, and fuel adventure. As we continue to grow and explore new realms, we're seeking passionate, curious, and innovative minds to join the adventur e. Skeleton Key is headquartered in Austin, TX, and we’re building out a new, growing studio in Montreal, QC. We’re looking for a passionate and dedicated Principal Cinematic Animator to join the Montreal team and help bring our first AAA game to life. Reporting to the Animation Director, you will be a key contributor as we enter pre-production, focused on creating high-quality cinematic animation that integrates seamlessly with gameplay. This role focuses on interactive cinematic moments, working closely with cinematics, design, and engineering teams to deliver compelling narrative experiences both systemically and through bespoke content. What you'll do: Create high-quality cinematic animation using both motion

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Micron’s DRAM Design Engineering Group (DDEG) is where bold ideas become real technology. We push the limits of memory and storage innovation, and we thrive in a collaborative environment where engineers learn, build, and solve challenges together. We are driven by curiosity, creativity, and the pursuit of better solutions every day! We are seeking a Principal or Member of Technical Staff (MTS) in Analog Design to join our DRAM IP Design team. As a Principal/ MTS, you will help shape the next generation of Micron's memory products, while working closely with global design, verification, and product teams to bring innovative circuit designs from concept to silicon. Your work will directly influence product performance, quality, and reliability—and contribute to advancements that define the semiconductor industry. Responsibilities: Design, optimize, and verify block‑level analog and mixed-signal circuits for DRAM projects. Work with the internal data science team and EDA vendors to leverage and improve AI-assisted design flow and circuits optimization. Propose, evaluate and implement new or improved circuit topology to further enhance PPAC of the circuit block. Improve design verification scope and coverage to increase circuit robustness to enhance mass production yield. Partner with global design groups and provide layout guidance through post‑layout simulation. Compare silicon