Advance Backend Tech - Evening

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. We’re looking for an experienced Software Engineer to help us build the next generation of products which will go beyond just ID and enable our members to leverage the power of a networked digital identity. As a Software Engineer at CLEAR, you will participate in the design, implementation, testing, and deployment of applications to build and enhance our platform- one that interconnects dozens of attributes and qualifications while keeping member privacy and security at the core. A brief highlight of our tech stack: Java / Kafka / Postgres AWS cloud What you'll do: Advance our capabilities across a wide array of industries and domains and gain hands-on experience with privacy, security, data modeling and architecture Develop and deliver code across the full stack, driving engineering excellence by defining to best practices in testing, documentation and observability Partner with product and other stakeholders to uncover requirements, to innovate, and to solve complex problems Have a strong sense of ownership, responsible for architectural decision-making and striving for continuous improvement in technology and processes at CLEAR What you’re great at: 3+ years of backend software development experience in Java Working with cloud-based application development, and being fluent in at least a few of: Cloud service providers like AWS Containerization technologies like Docker and Kubernetes Collaboration, integration, and deployment tools like Github, Argo, and Jenkins Arti

About the Team The Finance & Supply Chain Engineering organization includes two complementary teams. Software Engineering builds internal full-stack applications, durable agentic workflows, plugins, MCPs, and measurable AI-enabled engineering practices. Data Engineering builds trusted analytics data assets for Finance and Supply Chain. The teams have distinct charters, with important shared dependencies and broad cross team partnerships across Engineering, Applications, Finance, and Supply Chain. About the Role We are looking for a hands-on senior technical leader who will report alongside the Software Engineering and Data Engineering managers. This is an individual-contributor role with no immediate people-management responsibility. The Tech Lead will raise the technical bar across both teams, participate in important cross-team or high-risk design decisions, and directly own and ship high-impact work. The role should improve team judgment and autonomy rather than act as a floating architect or universal approval gate. In this role, you will: Partner with the Software Engineering and Data Engineering managers as a peer technical leader; managers retain accountability for people, staffing, priorities, performance, and delivery commitments. Directly own the architecture, implementation, launch, and operation of one or more high-impact initiatives, remaining accountable for real outcomes rather than advisory output alone. Guide important design decisions that are cross-team, difficult to reverse, or material to security, financial controls, reliability, data quality, or long-term cost of ownership. Establish pragmatic engineering standards across architecture, APIs and data contracts, testing, security, reliability, observability, lineage, data quality, and operational ownership. Advance engineering standards for building with AI, including agentic workflows, evaluation, telemetry, adoption, and outcome measurement. Work across backend, full-stack, data, and big-d

We are seeking a highly motivated and experienced Lead Java Developer to join our Credit Risk Technology team. This is a hands-on leadership role where you will be instrumental in designing, developing, and deploying robust, high-performance, and large-scale software solutions for Counterparty Credit Risk Management. You will be at the forefront of firm-wide initiatives, leveraging best-in-class software stacks and cutting-edge AI tools to solve complex challenges. You will lead a team of talented engineers, providing technical guidance, fostering innovation, and ensuring the delivery of high-quality, scalable, and resilient software. The ideal candidate is passionate about modern software development practices, proficient with contemporary tech stacks, and eager to utilize artificial intelligence to manage Citi’s exposure to financial institutions, governments, and corporates. This role offers the opportunity to make a significant impact by contributing to critical systems that provide an integrated view of trades, collateral, and market data from numerous sources. Key Responsibilities: Technical Leadership & Hands-On Development: Lead by example, actively contributing to the design, architecture, and hands-on development of critical software components for Counterparty Credit Risk Management leveraging AI tools such as Devin and Co-Pilot Drive technical excellence, ensuring best practices in coding, testing, and deployment are followed for high-performance and large-scale applications. Conduct code reviews, provide constructive feedback, and mentor team members in advanced development techniques. Team Leadership & Management: Supervise work of a team of software engineers Foster a collaborative, innovative, and inclusive team environment focused on tackling challenging firm-wide initiatives. Allocate resources effectively to meet project deadlines an

Senior Low Latency Developer – Equities Connectivity Engineer the future of global finance. At Citi, our Tech team doesn’t just support finance – we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. Equities Technology Equities Technology at Citi is undertaking a bold, multi‑year transformation to build a best‑in‑class global platform across execution, prime, clearing and cross‑product margining. We are re‑engineering our technology estate to achieve world‑leading performance and resiliency, enabling new capabilities in advanced execution, global market connectivity, and modernized post‑trade, clearing and margin processes. Our ambition is to deliver a seamlessly integrated, highly automated platform that drives outstanding client outcomes and accelerates growth across our global franchise. As part of the team, you’ll collaborate closely with high‑caliber engineers and deeply engaged business and product partners - working together to define and deliver the next generation of Equities technology at Citi . Role Overview Citi's Equities Technology organization is seeking an experienced, hands-on engineer to join the Equities Electronic-Execution (Electronic Trading) technology team. The person in this role will be responsible for the development and operational excellence of Citi's next-generation low-latency connectivity platforms.

About the Team The Future of Computing Research team is an Applied Research team within the Consumer Devices group focused on developing new methods and models as we advance forward in our mission of building AGI that benefits all of humanity. As a Software Engineer on the Future of Computing Research team, you will work together with both the best ML researchers in the world and the greatest design talent of our generation to push the frontier of model capabilities. About the Role We are looking for a Software Engineer to join our team to build tools and services that enable AI research, evaluation, and data generation workflows. The best work in this role will start with an ambiguous design question and turn it into working research systems. You will work closely with researchers, designers, and engineers to build the evaluation systems, synthetic data generation pipelines, review tools, and supporting platform services. The goal is to make these workflows easier to create, run, and trust without requiring bespoke engineering support for each new design concept. You will help ensure that research artifacts have a clear lifecycle, runs are reproducible and observable, and results provide useful evidence for product and model-training decisions while the underlying systems remain reliable and reusable. This role is based in San Francisco, CA. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. In this role, you will: Build web applications, APIs, data models, and backend services for AI research workflows. Build tools to author and manage evaluation tasks, rubrics, graders, suites, and rollout configurations, including workflows for publishing, versioning, auditing, and sharing research artifacts. Automate evaluation runs and generate useful reports for design, research, and engineering teams. Support synthetic data generation workflows for multimodal and conversational research, including tools that comb

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 High‑Bandwidth Memory (HBM) Digital Design organization is seeking a Digital Physical Design Engineer to drive backend implementation of high‑performance, low‑power digital logic used in advanced memory products. This role spans backend implementation from Netlist to GDSII, with a strong focus on timing closure, power integrity, and manufacturability in advanced process technologies. The successful candidate will work closely with RTL, DFT, CAD, and verification teams to deliver high‑quality physical designs, contribute to methodology improvements, and help push performance, power, and area (PPA) targets in complex, multi‑hierarchy designs. Key Responsibilities: Own and execute physical design implementation from synthesized netlist through GDSII, including floorplanning, placement, clock tree synthesis, routing, and physical signoff Utilize AI-Enabled tools in the Netlist to GDS flow Perform and drive timing closure across multiple modes, corners, and scenarios using industry‑standard STA tools Analyze and resolve congestion, timing, IR drop, EM, and power integrity issues Develop and refine floorplans, power grids, and clocking strategies for high‑performance designs Work with placement and timing closure of custom analog hard IP macros in a digital-on-top design flow Collaborate closely with RTL designers to influence partitioning, constraints, and micro‑architecture decisions early in the design cycle Implement and va