199 jobs found

Description: Position Summary The MFM IT team has a long history of delivering and maintaining core business systems in a mid-sized Property & Casualty insurance environment. As we expand our development team and adopt new AI development tools, we are making a deliberate investment in building this capability correctly from the start. As we begin to build agentic AI capabilities within our enterprise system, we are looking for an experienced engineer with strong knowledge of agentic AI systems to help guide this effort. The Senior Agentic AI Specialist will work closely with MFM's Principal Architect, who leads overall platform architecture, and partner with senior developers to design, implement, and improve agent-based solutions. This role will bring specialized expertise in areas where we are still developing depth, including agent orchestration, retrieval pipelines, LLM evaluation, and prompt design. This is an ongoing platform effort, not a one-time project. The work will evolve over time as we expand capabilities, integrate new tools, and improve system quality. Our core systems are built on a Microsoft/.NET stack. As we develop our agentic AI capabilities, we expect to leverage cloud-based tooling (likely within Azure) where appropriate. We are pragmatic about using the right tools for the problem, while maintaining alignment with our existing platform and operational requirements. At Midwest Family we value practical experience, clear thinking, and the ability to apply these skills in a real-world environment. Application Requirements Cover Letter and Resume: Please include the following in your cover letter A description of an AI or agent-based system you have worked on, including your role and how you evaluated quality Your approach to reducing incorrect or unsupported outputs An example of how you supported other developers or teams in adopting AI capabilities Your physical remote work location state Salary expectations Responsibilities: Platform Architecture & Evolution : Provide input into AI-related architecture decisions. Evaluate tools, models, and approaches, and make practical recommendations based on trade-offs and outcomes. Agent Lifecycle Management: Design, build, and maintain agents. Define prompts and configurations, support routing decisions, and monitor performance in production. RAG Pipeline Engineering: Improve retrieval quality by working with chunking strategies, embeddings, search methods, and metadata filtering. Support onboarding of new knowledge sources. Quality & Hallucination Reduction: Help reduce incorrect or unsupported outputs through system design, testing, and monitoring. Apply practical approaches across prompts, retrieval, and model behavior. Evaluation & Testing: Develop and maintain evaluation approaches to measure output quality, including relevance and accuracy. Support regression testing and identify failure patterns. Prompt Engineering: Create and maintain prompts for different agents. Diagnose unexpected behavior and develop reusable patterns where appropriate. Tool Integration: Support integration with internal systems and APIs. Help manage tool access and ensure reliable execution and error handling. Observability & Operations: Contribute to logging, tracing, and monitoring. Support analysis of system behavior, cost, and performance in production. Governance & Configuration: Work with configuration across agents, prompts, and models. Ensure changes are version-controlled and reviewed. Developer Support: Work with other developers to share knowledge, review designs, and establish consistent approaches. Research & Evaluation: Stay current with new models and tools. Evaluate them in a structured way and recommend adoption where appropriate. Requirements: Education & Certification College degree or Programming Certification (preferred) 5+ years of equivalent work experience Required Experience Experience building or working with AI/LLM-based systems in a production or near-production environment Strong understanding of agent-based patterns (ReAct, tool usage, etc.) Experience with retrieval-based systems (RAG), vector stores, or search pipelines Familiarity with evaluating non-deterministic system outputs Experience improving system quality through testing and iteration Strong software engineering skills required. Experience with Python, TypeScript, or C# preferred Ability to work across technologies and integrate AI solutions into an existing enterprise environment Preferred Experience Experience working with multiple LLM providers Familiarity with emerging tools and frameworks in the agentic AI space Experience integrating with enterprise systems and data sources Experience mentoring or supporting other developers Personal Attributes Strategic thinker with strong analytical and problem-solving skills Technically proficient with broad systems knowledge Excellent interpersonal, written, and verbal communication skills Self-directed, collaborative, and highly organized Customer-oriented and able to navigate high-pressure environments Flexible and adaptable in regards to learning and understanding new technologies. Exceptional organizational skills and ability to keep track of multiple projects at a time. Ability to conduct research into software-related issues and products. Technically proficient. Exceptional attention to detail. Ability to work both independently and in a team-oriented, collaborative environment. Work Conditions Remote work environment following core hours 8AM-5PM Central Time Overtime may be required to meet project deadlines or monitor system processes. Sitting for extended periods of time. Dexterity of hands and fingers to operate a computer keyboard, mouse, and other devices. Minimal travel will be required for the purpose of off-site software training and team meetings. Physically able to participate in virtual and in-person training sessions, presentations, and meetings. PI6a59fdda4e68-4236

Job Description Job Description We are looking for a senior ML infrastructure engineer to build and evolve the systems that support model training, deployment, and production usage. This role sits at the intersection of software engineering, infrastructure, ML workflows, and developer experience. The work focuses on production-quality ML systems: reliability, scalability, observability, and usability for the team. You will work on training infrastructure, deployment workflows, model serving, platform tooling, automation, and production reliability. Training deployment is a core focus, and experience with inference deployment is a strong plus. We care about engineering judgment, technical depth, communication, and the ability to turn messy ML workflows into stable platform capabilities. What You Will Own Design, build, and evolve infrastructure for ML training workflows, training deployment, experiment execution, and production handoff. Build and maintain deployment paths for models, jobs, services, and supporting infrastructure across development and production environments. Improve reliability, scalability, observability, and developer experience for ML workflows and platform tools. Define interfaces, automation, metadata, artifacts, configuration, environment management, and lifecycle boundaries for ML systems. Collaborate with research, product, data, and engineering partners to translate incomplete ML workflow needs into maintainable systems. Support production usage by building clear operational tooling, debugging paths, and safe rollout mechanisms. What We Look For Strong software engineering and infrastructure fundamentals, with experience owning production or near-production systems. Practical experience with PyTorch and ML training workflows, including job orchestration, compute environments, artifact management, and deployment automation. Solid understanding of heterogeneous computing and high-performance computing, especially for ML training or serving workloads. Good understanding of model lifecycle concerns: data, configs, checkpoints, artifacts, reproducibility, rollout, rollback, and observability. Ability to build reliable platform abstractions without hiding the important details ML practitioners need to control. Clear technical and product sense: you can prioritize platform work that unlocks real training or deployment velocity. High standards for engineering quality, including tests, documentation, debugging tools, and maintainable system design. Tech Stack You May Work With Python PyTorch Heterogeneous computing and high-performance computing ML training pipelines, job orchestration, compute scheduling, containers, and deployment automation Model artifacts, metadata, storage, experiment tracking, and configuration systems Model serving, inference deployment, APIs, queues, and observability tools Docker, CI/CD, cloud infrastructure, GPUs, and internal platform tooling Bonus Points Experience building training deployment systems, model release workflows, or ML platform tooling for research and production teams. Experience with inference deployment, model serving, online/offline evaluation, performance tuning, or rollout safety. Experience with distributed training, GPU infrastructure, workload scheduling, artifact/version management, or reproducibility tooling. Understanding of CUDA, GPU architecture, or low-level performance optimization. Experience with open-source inference and serving frameworks such as vLLM, TensorRT, Triton, or similar systems. Experience migrating ad hoc notebooks, scripts, or manual ML processes into reliable platform workflows. This Role May Not Be a Fit If You mainly want to train models personally and do not enjoy building infrastructure for others to use. You are comfortable with manual ML workflows and do not care about reproducibility, deployment, or operational quality. You prefer narrow implementation tasks and do not want to reason about system boundaries, platform UX, or long-term maintenance. You over-abstract ML workflows without understanding where researchers and engineers need control and visibility. Why This Role Matters ML teams move faster when training, deployment, and production usage are supported by reliable infrastructure instead of scattered scripts and manual processes. This role will directly shape how models move from experimentation to production, how safely they are deployed, and how efficiently the team can iterate. For the right person, it is a high-ownership platform role with deep impact on both engineering quality and ML velocity. What We Would Like to See When You Apply ML infrastructure, training platforms, deployment systems, or model serving systems you have owned. Examples of how you improved training reliability, deployment velocity, reproducibility, observability, or operational safety. Cases where you turned messy ML workflows into maintainable tools, services, or platform abstractions. Examples that show your technical judgment, communication, and ability to work across research and engineering needs.

Job Description Job Description Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Are you a passionate and innovative engineer looking to help develop state-of-the-art AI and robotics products? Are you eager to make a positive difference in the world? Do you want to work alongside mission-driven and values-focused teammates? Shield AI is just the place for you! The Hivemind Quality team is committed to ensuring our autonomy platform delivers a seamless developer experience and enables customers to build world-class autonomous systems. We focus on integrating, validating, and continuously improving the Hivemind ecosystem-spanning autonomy behaviors, sensor processing, multi-agent coordination, ground-control systems, and embedded platforms. Our mission is to ensure that autonomy developers can efficiently build, test, and deploy autonomous applications that meet real-world mission objectives. We are seeking an experienced Software Integration Engineer passionate about autonomy development. In this role, you will become a power user of the Hivemind SDK, deeply understanding its capabilities and identifying gaps from a customer perspective. You will develop and validate customer use cases, evaluate the ease of use for autonomy developers, and provide actionable feedback to Engineering and Product teams. You will play a critical role in integrating new autonomy capabilities into the platform, assessing feature completeness, and anticipating novel customer workflows and edge cases. This position bridges the gap between engineering development and real-world autonomy applications-ensuring our platform empowers customers to build reliable, mission-ready autonomous systems. What you'll do: Become a systems integration expert for autonomous robotics: Develop deep expertise in our AI-powered autonomy stack. Learn to configure, deploy, and integrate multi-agent systems across simulation, hardware-in-the-loop, and flight platforms. Understand the full system end-to-end-from sensor inputs to autonomous behaviors. Integrate new capabilities into the autonomy stack: Collaborate cross-functionally with development teams to bring autonomy algorithms, perception pipelines, middleware, and platform interfaces into the integrated product. Ensure seamless interoperability between components. Enable platform bring-up and validation: Lead the integration of autonomy software onto new robotic hardware platforms. Configure sensor drivers, communication interfaces, and platform adapters to enable full autonomy stack functionality on prototype and production vehicles. Develop integration tooling & infrastructure: Architect and implement integration frameworks, deployment scripts, and configuration management tools that streamline bringing new capabilities into Software-in-the-Loop (SIL), Hardware-in-the-Loop (HIL), and flight environments. Support cross-platform compatibility: Work with other integration engineers to ensure the autonomy stack operates reliably across all supported platforms, operating systems, and deployment configurations. Identify and resolve integration issues across system boundaries. Analyze system behavior and root-cause issues: Evaluate system logs, telemetry, and rosbag data to diagnose integration defects. Collaborate with developers to isolate issues to specific subsystems and drive resolution. Create analysis tooling to accelerate debugging. Optimize integration workflows and CI/CD: Partner with DevOps teams to streamline integration pipelines, reduce build-to-deploy cycle times, and ensure robust continuous integration of new features. Define integration checkpoints and criteria for release readiness. Validate system requirements and interface contracts: Work with engineers to ensure integrated capabilities meet product requirements and interface specifications. Assist in developing tooling to verify end-to-end system compliance and traceability. Required qualifications: Typically requires a minimum of 7 years of related experience with a bachelor's degree in CS, Comp Eng, Robotics, or a related field; or 6 years and a master's degree; or 4 years with a PhD. Proficiency in programming languages including Python or C++. Experience with autonomous systems or server applications or middleware. Demonstrated experience designing integration workflows, communicating system dependencies, and triaging and reporting integration defects across subsystem boundaries. Proficiency with simulation tools and hardware-in-the-loop (HIL) testing environments. Strong expertise with CI/CD pipelines. Strong problem-solving skills and a proven track record of delivering high-quality software solutions. Excellent communication skills, capable of collaborating effectively across various teams and presenting to customers or technical leadership. Preferred qualifications: Demonstrated experience building complex systems with a strong understanding of software architecture and design principles. Experience with hardware or embedded systems. Expert knowledge of Python. Experience with ROS. Experience with white box testing Familiarity with networking, operating-systems, and radio communications. Experience designing automated tooling for testing for GUI applications. Experience designing automated tooling for testing server applications. Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description About Us At Lemurian Labs, we're reimagining the foundations of computing to make AI accessible to everyone. Our mission is to remove the limits of scale, hardware, and cost that hold back innovation, so the people solving humanity's hardest problems can move faster. We're building a new kind of software stack: a hardware-agnostic platform that makes every system - from a laptop to a supercomputer - feel like one seamless engine. Developers can write once, run anywhere, and get state-of-the-art performance across any chip, any cloud, at any scale. It's a complete rethink of how software and hardware interact - designed for the era beyond Moore's Law. We're not looking for the comfortable or the conventional; we're looking for the bold. The engineers who crave frontier problems, who want to bend the limits of what's possible, who see infrastructure not as a constraint but as a canvas. If you want to build the foundation for the next era of AI and change what humanity can achieve in the process, join us. About the Role We're looking for a Graph Optimization Compiler Engineer to own the middle tier of our AI compiler stack - the layer where high-level model graphs are transformed, simplified, and made ready for efficient code generation. You'll design and implement the optimization passes that make the difference between a model that runs and a model that flies. This role sits between our compiler front end and code generation backend. You'll work on graph-level transformations - fusion, layout optimization, dead code elimination, constant folding, and more - with a direct line of sight to the performance outcomes your work produces. If you think in data flow graphs and optimization passes, and you want that thinking to power the next generation of AI infrastructure, we'd love to talk. What You'll Do Design, develop, and maintain the graph optimization layer of our heterogeneous AI compiler Implement and extend graph-level transformation passes including operator fusion, layout propagation, dead code elimination, constant folding, and algebraic simplification Define and evolve our intermediate representation (IR) to support new optimization opportunities as ML model architectures advance Analyze performance data to identify optimization gaps and drive measurable improvements in throughput and latency Collaborate with front end and code generation teams to ensure clean IR interfaces and well-structured optimization pipelines Propose and prototype new optimization strategies in response to advances in model design and hardware capabilities Contribute to testing and validation infrastructure to ensure optimization correctness across model types and hardware targets Requirements Essential Skills and Experience BS degree in Computer Science, Computer Engineering, or equivalent practical experience 4+ years of experience working with compilers, with a focus on intermediate representation design or optimization passes Deep knowledge of graph-level compiler optimization techniques - fusion, tiling, layout transformations, and related methods 4+ years of experience with C/C++ Strong written and verbal communication skills; ability to write clear and concise technical documentation Preferred Skills and Experience Master's or PhD in Computer Science, Computer Engineering, or equivalent Experience with polyhedral models or affine analysis for loop and tensor optimization Familiarity with hardware memory hierarchies and how layout decisions impact performance on GPUs or accelerators Experience working with MLIR, XLA, or similar graph-level IR frameworks Experience with ML framework internals - PyTorch eager/compile mode, JAX/XLA, or TensorRT Strong understanding of ML model architectures and their computational patterns (attention, convolution, normalization, etc.) Knowledge of quantization, sparsity, or other model-level optimization techniques Contributions to open-source compiler or ML infrastructure projects Why Join Lemurian Labs Own a critical layer of our compiler stack where optimization decisions have direct, measurable impact on model performance Work on the hardest graph-level problems in AI infrastructure - across diverse hardware targets and model architectures Collaborate with a team that treats infrastructure as a canvas and optimization as a craft Competitive compensation including equity, medical/dental/vision, retirement savings, and wellness benefits Lemurian Labs is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of gender identity, race, ethnicity, sexual orientation, disability status, age, or background. Compensation depends on experience and geographic location and will be narrowed during the interview process. Additional benefits include equity, company bonus opportunities, medical, dental, and vision coverage, a retirement savings plan, and supplemental wellness benefits.

Job Description Job Description About Etched Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our first products are heavily focused on inference . Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. Job Summary We are using AI to build AI chips. AI agents are starting to genuinely work for verification, debug, and EDA flows - we want someone to bring that inside Etched and push past it. As an Applied AI Engineer, you will embed with our hardware teams - RTL design, verification, DFT, physical design, and silicon validation - and build the agents and tooling that multiply their output. You'll wire LLM agents into simulators, regressions, waveform and log analysis, EDA flows, and bring-up workflows, and own the evals that separate demos from tools engineers actually rely on. This is an internal, force-multiplier role: your success is measured by how much faster the chip team moves, not by lines of code you ship yourself. It is not a customer-facing role and not about inference serving - it's AI applied to how we build the chip itself. You do not need to be a chip designer or a traditional software engineer - you need to be an exceptional problem solver who has shipped real agentic systems, works comfortably across stacks and domains, and uses AI to ramp on hard new problems fast. Key responsibilities Build, deploy, and maintain LLM-agent workflows that accelerate chip development: debug triage, testbench and coverage work, log/waveform analysis, EDA script generation, and engineering knowledge retrieval Embed with hardware teams to find the highest-leverage pain points, then turn them into automated workflows with measurable adoption Design rigorous evals for agent performance on real silicon-engineering tasks - not proxy metrics - and use them to drive iteration Integrate agents with our internal infrastructure: simulation and emulation flows, CI/regression systems, lab equipment, and issue tracking, via tool-calling and MCP Champion adoption: documentation, training, and fast feedback loops with the engineers who use what you build You may be a good fit if you have A track record of solving hard problems across stacks and domains - you enjoy being dropped into unfamiliar territory and figuring it out Comfort with Python and code: you can read it, modify it, debug it, and direct AI to write it well. We do not care whether you write code from scratch - we care whether you ship things that work Fluency using AI to learn and ramp on new problems - agentic coding tools, deep research, and frontier models are how you work, not an add-on Hands-on experience building and shipping LLM-based agents or AI tooling that real users depend on (beyond calling an API - context engineering, tool integration, orchestration, failure analysis) An eval-driven mindset: you measure whether AI systems actually work before scaling them High agency and comfort with ambiguity - you can find the problem, not just solve the stated one Interest in chip development and the ability to ramp quickly on a deeply technical domain. Hardware experience is a real plus, but not required - you will be willing and able to learn quickly Strong candidates may also have experience with Chip development in any form (the strongest plus): RTL/SystemVerilog, functional verification (UVM), DFT, physical design/STA, FPGA, emulation, or silicon bring-up and validation EDA tool flows and Tcl scripting; reading waveforms, logs, and regressions Fine-tuning or post-training (SFT, RLHF/DPO), RAG over proprietary technical data, or multi-agent orchestration Deep software engineering: C++ or Rust, developer-facing internal platforms, CI/CD at scale, or infrastructure (Docker, Slurm, Ray) Representative projects In your first 30 days, pick one hardware team's worst recurring pain, ship an agent for it, and prove adoption with usage data Build an agent that triages overnight regression failures, clusters them by root cause, and drafts bug reports with waveform and log evidence attached Wire Claude Code-style agents into our EDA and validation flows via MCP so engineers can drive simulations, queries, and lab equipment from natural language Create a retrieval system over our specs, design docs, and past debug history that cuts ramp time for new engineers Design an eval suite that measures agent performance on real verification and debug tasks, and use it to decide which workflows to automate next Prototype AlphaEvolve-style optimization loops that propose and automatically verify improvements to test programs or flow scripts Benefits Full medical, dental, and vision packages, with generous premium coverage Housing subsidy of $2,000/month for those living within walking distance of the office Daily lunch and dinner in our office Relocation support for those moving to San Jose (Santana Row) Unlimited compute budget subject to ROI justification How we're different Etched believes in the Bitter Lesson. We are the first inference-focused frontier AI system, betting early on transformer and transformer-like architectures and on increasing model sizes. Our addressable market is the entirety of inference, unlike many of our competitors. We are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed. Compensation Range: $150K - $275K

Job Description Job Description About Us At Lemurian Labs, we're reimagining the foundations of computing to make AI accessible to everyone. Our mission is to remove the limits of scale, hardware, and cost that hold back innovation, so the people solving humanity's hardest problems can move faster. We're building a new kind of software stack: a hardware-agnostic platform that makes every system - from a laptop to a supercomputer - feel like one seamless engine. Developers can write once, run anywhere, and get state-of-the-art performance across any chip, any cloud, at any scale. It's a complete rethink of how software and hardware interact - designed for the era beyond Moore's Law. We're not looking for the comfortable or the conventional; we're looking for the bold. The engineers who crave frontier problems, who want to bend the limits of what's possible, who see infrastructure not as a constraint but as a canvas. If you want to build the foundation for the next era of AI and change what humanity can achieve in the process, join us. About the Role We're looking for a Compiler Code Generation Engineer to design and build the core code generation capabilities inside our high-performance, portable AI compiler. This is a foundational engineering role where you'll work directly on the subsystems that translate high-level ML computations into optimized machine code across heterogeneous hardware targets. If you love digging into instruction selection, register allocation, and low-level target-specific optimization and you want that work to matter at the scale of the next era of AI infrastructure, this role is for you. What You'll Do Design, develop, maintain, and improve our heterogeneous AI compiler. Design and implement new code generation capabilities based on our novel compiler architecture. Propose improvements and extensions to our compiler architecture in response to advances in ML model design and hardware. Apply the latest techniques in parallelization and partitioning to automate kernel generation and exploit highly optimized execution paths. Use performance data to identify optimization opportunities and drive measurable improvements. Collaborate with our product team to understand the evolving needs of ML engineers and translate those needs into architectural improvements. Requirements Essential Skills and Experience BS degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience. 4+ years of experience working with compilers. Deep knowledge of compiler algorithms and data structures. Experience with and genuine interest in low-level code generation, object file manipulation, and target-specific optimizations. 4+ years of experience with C/C++. Strong written and verbal communication skills; ability to write clear and concise technical documentation. Preferred Skills and Experience Master's or PhD in Computer Science, Computer Engineering, Electrical Engineering, or equivalent. Knowledge of traditional compiler techniques: instruction selection, register allocation, dominance analysis, def-use chains. Familiarity with calling conventions, APIs, linking, and relocations. Working knowledge of LLVM. Experience with loop optimizations, vectorization, unrolling, fusion, and parallelization. Experience with machine learning workloads and their hardware demands. Why Join Lemurian Labs Work on compiler infrastructure that runs AI at scale across every major hardware platform. Tackle deep, unsolved technical problems alongside a team that prizes craft and rigor. Be part of building sustainable AI infrastructure that genuinely moves the needle. Competitive compensation including equity, medical/dental/vision, retirement savings, and wellness benefits. Lemurian Labs is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of gender identity, race, ethnicity, sexual orientation, disability status, age, or background. Compensation depends on experience and geographic location and will be narrowed during the interview process. Additional benefits include equity, company bonus opportunities, medical, dental, and vision coverage, a retirement savings plan, and supplemental wellness benefits.

Job Description Job Description Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy such a robotaxi solution. The System Design and Mission Assurance (SDMA) team plays a foundational role in the company's success, responsible for constructing the safety case and fail-operational design for our autonomous driving robots before public road deployment. You will be part of an organization with strong leadership and a transparent, respectful culture that enables you to reach your full potential. In this role, you will: Develop, coordinate, and execute verification and validation test plans for Pose monitors using Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) environments. Analyze and triage pipeline results that contribute to key launch-blocking metrics for software and system releases. Collaborate with cross-functional teams, including software developers, hardware engineers, systems engineers, simulation developers, and safety experts, to identify and mitigate risks. Track and report test campaign results to demonstrate feature readiness during safety clearance for each Zoox milestone. Develop metrics and performance benchmarks for V&V campaigns, driving continuous improvement of test coverage and efficiency. Contribute to the development of risk analysis models to quantify behavioral risk when testing gaps exist. Qualifications MS or higher degree in a technical field, such as Mechatronics, Mechanical, Electrical, Aerospace, or Systems Engineering. 5+ years of hands-on systems integration and validation experience (simulation testing, SIL/HIL testing, structured testing, and end-to-end product validation) with a focus on delivering complex systems to production. Proficiency in Python for data analysis, test scripting, and automation. Experience with requirements and test traceability tools such as Polarion, Jama, DOORS, or TestRails. Strong systems-level thinking and the ability to understand and navigate complex technical systems. Basic proficiency with probability and statistics. Ability to grapple with ambiguity and collaborate with cross-functional teams. Bonus Qualifications Experience with autonomous vehicles, robotics, or other safety-critical systems. Experience with simulation environments and hardware-in-the-loop (HIL) testing for pose estimation or perception systems. Experience with fault protection system design and validation. Familiarity with industry safety standards such as ISO 26262, ISO 21448 (SOTIF), ARP 4754, or ARP 4761. Experience with Linux systems and containerized testing environments. Proficiency with SQL for test data analysis. Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Job Description Senior Engineer, Internal Tools, Artificial Intelligence (AI) Required, Work From Home The Senior AI Engineer is the engineering backbone of the internal tools team. Building and maintaining the platforms that every team in the company relies on. Your work directly increases organizational efficiency and enables teams to move faster. The Senior AI Engineer will own systems end-to-end, from scoping and architecture through production deployment and iteration, connecting multiple business systems into a seamless, reliable internal ecosystem. This position is 100% Remote. Senior Engineer Responsibilities: Build & Ship: - Design, build, and maintain internal platforms and tools that serve People, Finance, Ops, Sales, and Engineering teams. - Own features, end-to-end requirements, architecture, implementation, testing, deployment, and monitoring. - Write clean, well-tested, production-grade code. You hold yourself to the same bar as customer-facing products. Architecture & Integration: - Build API-first integrations across the internal ecosystem connecting HRIS, CRM, finance platforms, knowledge management, and developer tools into a coherent stack. - Design for reliability, performance, and scale what you build today must hold as the company grows 5-10x. - Eliminate data silos. Build clean data pipelines that maintain a single source of truth across systems. - Own your services in production: monitoring, alerting, incident response, and post-mortems. AI & Automation: - Build AI/LLM-powered features into internal workflows, automating approvals, knowledge retrieval, reporting, content generation, and operational processes. - Move fast from prototype to production. You know the difference between a demo and a system that works at scale. - Stay current on emerging AI capabilities and proactively identify where they unlock step-change improvements in internal productivity. Collaboration & Influence: - Work directly with business stakeholders to understand pain points and translate them into technical solutions. You don't wait for a spec you help shape it. - Pair with and mentor junior engineers. Raise the technical bar through code reviews, design reviews, and leading by example. - Influence technical direction: propose architectural improvements, challenge assumptions, and drive best practices across the team. Qualifications Senior Engineer Qualifications: - 5+ years of professional software engineering experience, with meaningful time spent building internal tools, platforms, or business systems. - Artificial Intelligence (AI) experience required. - Strong full-stack or backend engineering skills. Proficient in at least one of: Python, Go, TypeScript/Node.js, or Java. - Solid understanding of Cloud Infrastructure (GCP/AWS/Azure), Containerization (Docker/Kubernetes), CI/CD Pipelines, and modern DevOps practices. - Hands-on experience building and maintaining API integrations between third-party SaaS platforms (e.g., Workday, Salesforce, Slack, NetSuite). - Strong data fundamentals: relational databases, data modelling, ETL/ELT pipelines, and working knowledge of SQL. - Comfort with ambiguity. You can take a vague business problem, break it down, and deliver a working solution without heavy handholding. - Clear communicator who can explain technical tradeoffs to non-technical stakeholders. - Experience with workflow orchestration tools (Temporal, Airflow, Prefect) or integration platforms (Workato, Tray.io, MuleSoft) is a plus. - Frontend experience with React, Next.js, or equivalent modern frameworks is a plus. - Familiarity with HRIS, ERP, or people systems data models and processes is a plus. - Experience at a high-growth or AI-native company is a plus. - Contributions to developer experience tooling, CLIs, or internal SDKs is a plus. - Experience building or integrating AI/LLM-powered features not just experimenting, but shipping to real users is a plus. Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc. Looking to hire a Senior Engineer in San Francisco, CA or in other cities? Our IT recruiting agencies and staffing companies can help. We help companies that are looking to hire Senior Engineers for jobs in San Francisco, California and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today! Additional Information Please check out all of our jobs at .

Job Description Job Description Hadrian - Manufacturing the Future Hadrian is building autonomous factories that help aerospace and defense companies manufacture rockets, satellites, jets, and ships up to 10x faster and up to 2x cheaper. By combining advanced software, robotics, and full-stack manufacturing, we are reinventing how America produces its most critical parts. We're accelerating our mission with the launch of Factory 3 in Mesa, Arizona, a 290,000-square-foot facility creating 350 new jobs. We are expanding rapidly to support thousands of future hires, launching Hadrian Maritime to expand into naval production, and introducing a Factory-as-a-Service model that delivers complete systems instead of individual parts. Hadrian is backed by leading investors including T. Rowe Price, Lux Capital, Founders Fund, and Andreessen Horowitz, our fast-growing team is united around reindustrializing American manufacturing for the 21st century and beyond. The Role Every engineer at Hadrian ships software. The speed and quality of that work depends directly on the tools, pipelines, and workflows underneath it. The Builder Tools team owns that foundation. As a Software Engineer on the Builder Tools team, you will build and maintain the CI/CD infrastructure, internal tooling, and AI-assisted development workflows that every engineering team at Hadrian depends on. Your users are Hadrian's engineers, and your job is to make them faster. That means owning shared pipeline libraries, reducing friction in the SDLC, making internal systems accessible to AI coding agents, and automating the work that slows teams down. This is a high-leverage role. The systems you build touch every engineer at Hadrian, and the improvements you ship show up immediately in how fast the company moves. What You'll Do Build and maintain CI/CD pipeline libraries that abstract build, release, and deployment events for use across multiple engineering teams Design and build internal tools, APIs, and CLI utilities that reduce developer friction and automate recurring engineering tasks - dependency upgrades, credential rotation, routine maintenance Help make Hadrian's internal systems API-ready for AI coding agents; build harness tooling, context systems, and feedback loops that improve the quality of AI-generated contributions in our codebase Instrument and monitor developer productivity systems; surface bottlenecks and measure the impact of tooling improvements through clear metrics Partner with application development teams to identify needs, implement CI/CD best practices, and drive adoption of new tooling across the org Join the on-call rotation to support systems and services during production incidents; contribute to root cause analyses and postmortems Participate in code reviews and author technical proposals that raise the engineering bar for the Builder Tools team What We're Looking For 5-8 years of software engineering experience, with at least 2-3 years focused on CI/CD, developer tooling, or build infrastructure Hands-on experience building and maintaining complex CI/CD pipelines and build infrastructure - pipeline-as-code, artifact management, multi-environment deployments Strong programming fundamentals in Go, Python, TypeScript, or similar; track record of writing clean, maintainable, well-tested code Experience with Docker and container orchestration (Kubernetes or similar) Solid understanding of source control concepts and practical Git experience Proven ability to troubleshoot complex systems and resolve issues efficiently A developer empathy mindset: you build tools that are easy to adopt, well-documented, and reduce toil rather than create it Bachelor's degree in Computer Science or related field, or equivalent experience What Will Set You Apart Genuine curiosity and hands-on experience with AI coding tools and agents - Copilot, Cursor, Claude Code, or similar - and opinions about what makes them work well in a real codebase Experience building API-ready interfaces or harness tooling for AI coding agents Prior work on developer experience or engineering productivity programs Familiarity with GitOps principles and workflows Experience with static analysis, automated PR pipelines, or code review tooling Background in fast-paced or scaling startup environments Growth & Trajectory The Builder Tools team is being built from the ground up, and this is one of the foundational IC roles on it. As the team grows and the function matures, there are opportunities to specialize in AI-assisted developer workflows, CI/CD platform ownership, or SDK/API development - and to grow into a senior IC or tech lead role as the org scales. Compensation For this role, the target salary range is $120,000- $250,000 (actual range may vary based on experience). This is the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee's pay position within the salary range will be based on several factors, including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Benefits for Full-time Employees Medical, dental, vision, and life insurance plans for employees 401k Relocation support may be provided for certain situations, based on business need. Flexible vacation policy Equity ITAR Requirements To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here. Hadrian Is An Equal Opportunity Employer It is the Company's policy to provide equal employment opportunity for all applicants and employees. The Company does not unlawfully discriminate on the basis of race inclusive of traits historically associated with race (including, but not limited to, hair texture and protective hairstyles, such as braids, locks and twists), color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, transgender status, national origin (including, in California, possession of a drivers license), ancestry, citizenship, age, physical or mental disability, height or weight, medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, exercise of reproductive rights, any other basis protected by local, state, or federal laws, or any combination of the above characteristics. When necessary, the Company also makes reasonable accommodations for disabled candidates and employees, including for candidates or employees who are disabled by pregnancy, childbirth, or related medical conditions. Compensation Range: $164.5K - $233K

Job Description Job Description Why Flux Flux is taking the hard out of hardware. To do this, we're building the world's first AI hardware engineer. Founded in 2019, our platform enables anyone to go from idea to manufacturable board using nothing more than a natural language prompt. This democratizes a process that has historically required years of specialized expertise. We're going after a $15B+ electronic design automation market, backed by 8VC, Bain Capital Ventures, Liquid 2 Ventures, Outsiders Fund, Figma board member John Lilly, and GitHub founder Tom Preston-Werner. In February 2026, we closed a total of $37M in funding to accelerate that mission. What happens when we unlock the ability for anyone to make hardware? We fundamentally reshape the world. That's our mission, and we're just getting started. The Role This is a rare opportunity for a technical operator who wants to own growth end-to-end. You'll work closely with product, design, and marketing, but your focus will be on building and shipping experiments that accelerate acquisition, activation, and retention. Think: building new onboarding flows, instrumenting funnels, hacking together scrappy tools, or running experiments that generate meaningful lift in weeks, not months. What You'll Do Build & ship growth experiments: Prototype and launch tools, landing pages, onboarding flows, and conversion experiments. Diagnose user friction: Use data, user research, and intuition to identify where technical users drop off and design ways to keep them engaged. Optimize onboarding & activation: Rework first-touch experiences so users get to "aha" moments faster - without relying on manual human support. Collaborate cross-functionally: Partner with marketing on campaigns, with product on flows, and with engineering on integrations or growth features. Quantify impact: Set up instrumentation, track experiment performance, and prioritize work based on data + potential impact. Stay scrappy: Use whatever tool, framework, or hack gets the job done fastest - from writing code to automating workflows to tweaking website architecture. What You'll Bring Strong technical chops: comfortable coding, prototyping, and integrating tools (front-end or full-stack background a plus). Proven record of delivering growth experiments with measurable results. Empathy for technical users (engineers, designers, or similar). Ability to deeply understand their workflows and motivations. Quantitative mindset: love for data, funnel metrics, and experimentation frameworks. Entrepreneurial persistence: bias toward action, ability to hustle, iterate, and figure things out quickly. Clear communicator who can explain both the "what" and the "why" behind your work. Preferred Qualifications Experience at a startup scaling from early revenue product-market fit growth stage. Exposure to developer tools, SaaS, or products with technical users. Comfort with SEO/website optimization, analytics tools, and marketing automation. Portfolio of past growth hacks or projects that show your range and creativity. Profile Impact-oriented: You don't feel done until real people are getting real value from what you built. Ambiguity-native: You thrive in the undefined. Our work is full of half-mapped terrain, soft constraints, and ideas that shift under your feet. That energizes you. You constantly update your intuitions as you go, and are excited to discover new and better ways to attack challenges we're still finding words to describe. Collaborative: You share your thoughts early and often, and welcome debate and creative collaboration. Flux is a deeply collaborative company, and we believe that the best ideas can only win if they're said out loud. Convention-averse: Flux is an AI-first company, building AI tooling, using AI tooling. We constantly experiment with new tools, techniques, and processes. You feel an urgency to reimagine what your work looks like in this rapidly changing world, and you value critical thinking far above established conventions. Ownership mentality: You are a self-starter, bias toward action, and care deeply about the team and community who lean on you and your work. Thanks for reading! Prior experience with HW or Electronics is not required - except for our Hardware internships! If the roles above don't fit you, we'd still love to have you in our network for upcoming opportunities. PS. We're always looking to meet Engineers who are interested in writing news, technical articles, or building tutorials. To get in touch, apply here or reach out to and tell us a little about yourself! Flux is an equal opportunity employer. We are committed to providing equal employment opportunities to all qualified individuals and do not discriminate on the basis of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable federal, state, or local law. All employment decisions are based on qualifications, merit, and business need. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Compensation Range: $183K - $248K

Job Description Job Description About Us: We are building a robust, scalable trading platform to serve high-traffic, latency-sensitive applications. Our infrastructure leverages state-of-the-art technologies to support real-time trading while providing unparalleled reliability and performance. Join us to shape the future of our platform and engineering culture. Job Summary: We are looking for a Senior DevOps & Platform Engineer to lead the design, implementation, and management of our AWS-centric infrastructure. You will play a pivotal role in maximizing the velocity of our product engineering team, ensuring platform scalability, reliability, and security. This is a high-impact role, combining elements of DevOps, Platform Engineering, and Site Reliability Engineering (SRE). You will champion best practices, shape the engineering culture, and ensure our platform is robust, efficient, and ready for the future. Key Responsibilities: Platform Engineering Infrastructure Design: Architect and implement scalable infrastructure to support the deployment and management of our trading platform. Developer Tooling: Build and maintain internal tools to streamline developer workflows, including advanced CI/CD pipelines. Infrastructure as Code (IaC): Champion IaC practices using Terraform, CloudFormation, or Pulumi. Core Services Management: Manage and optimize platform-critical services such as: NATS Cluster RabbitMQ AWS RDS PostgreSQL Redis Cluster DevOps Automation and CI/CD: Automate and optimize deployment processes to ensure seamless continuous integration and delivery. Container Orchestration: Manage and scale containerized workloads using Kubernetes and Docker. Cloud Optimization: Monitor and optimize cloud resource usage for performance and cost efficiency. Site Reliability Engineering (SRE) Reliability Metrics: Define and maintain Service Level Objectives (SLOs) and Service Level Indicators (SLIs). Monitoring & Observability: Implement observability tools and dashboards (e.g., Prometheus, Datadog, Grafana) for real-time system monitoring. Incident Management: Lead incident response efforts, conduct root cause analysis, and implement actionable postmortem reviews. Infrastructure Management AWS Expertise: Architect and manage cloud-based systems to handle high-traffic, latency-sensitive applications. Disaster Recovery: Implement robust disaster recovery and business continuity strategies, including backups and multi-region failover. Security Practices: Collaborate with security teams to enforce best practices for IAM, encryption, and compliance. Collaboration & Leadership Cross-Team Collaboration: Partner with software engineers to design infrastructure solutions tailored to their application needs. Culture Building: Help shape the engineering culture, promoting a philosophy of security, velocity, and reliability. Mentorship: Mentor junior engineers and document best practices to drive knowledge sharing and operational excellence. Long-Term Tech Evolution Backend Transition: Contribute to evolving our backend microservices (currently NodeJS, with some Python and C#) towards Go and Rust. Third-Party Integration: Evaluate and integrate critical third-party software and infrastructure, such as payment gateways and mobility stacks. Your Impact: Simplify infrastructure concerns for product teams to accelerate builds, deployments, and scaling. Advocate for modern practices like Zero Trust Networking and continuously improve platform architecture. Balance the demands of product velocity with a well-managed, secure, and scalable platform. Required Skills & Experience: Technical Expertise Cloud Experience: 5-8+ years of hands-on experience with cloud platforms, particularly AWS, including services like EC2, RDS, S3, Lambda, and VPC. Containerization: Proficiency with Docker and Kubernetes (EKS) or ECS. Infrastructure as Code (IaC): Strong experience with Terraform, CloudFormation, or Pulumi. Programming Skills: Proficiency in at least one programming language (e.g., Python, Go, TypeScript/JavaScript, Ruby, Java). DevOps & SRE CI/CD Pipelines: Expertise in building and maintaining CI/CD workflows using tools like GitLab CI, Jenkins, or GitHub Actions. Monitoring Tools: Experience with observability platforms (e.g., Prometheus, Datadog, Grafana). Incident Management: Proven ability to handle incident response, root cause analysis, and postmortem reviews. Soft Skills Problem-Solving: Ability to research, design, and deliver solutions to complex infrastructure challenges. Collaboration: Experience working directly with product engineers to improve workflows incrementally. Leadership: Ownership mindset with the ability to mentor team members and advocate for best practices. Preferred Skills (Nice-to-Have): Familiarity with backend languages like Go or Rust. AWS certifications (e.g., Solutions Architect, DevOps Engineer). Experience with networking concepts (e.g., load balancers, DNS, VPNs) and traffic optimization. Knowledge of emerging CNCF technologies and CI/CD trends. What We Offer: Competitive salary with future equity options Opportunities to work with cutting-edge technologies and evolve our platform. Flexible working hours and a remote-friendly environment. Professional growth through certifications, conferences, and internal training. Collaborative culture focused on innovation and operational excellence.

Job Description Job Description Join us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide. Living our values everyday results in our team-first culture and enables us to innovate, grow, and thrive while enjoying the journey together. We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves. We are seeking a highly experienced Senior Site Reliability Engineer - Compute Platforms to design, implement, and support Kubernetes on baremetal and hypervisor platforms in a private cloud environment. This role is responsible for the architecture, design, and standardization of enterprise compute and hypervisor environments spanning bare metal infrastructure, operating systems, hypervisors, private cloud orchestration, and Kubernetes using Infrastructure-as-Code and GitOps practices. This is a deeply technical role requiring expert-level understanding of compute hardware management, Kubernetes, OpenStack, hypervisors and extensive working knowledge on Linux Operating systems. You will also collaborate with platform and SRE teams to maintain secure, performant, and multi-tenant-isolated services that serve high-throughput, mission-critical applications. Key Responsibilities Lead the architecture and design of enterprise compute and hypervisor platform solutions across hardware, OS, virtualization, cloud orchestration, and container orchestration layers Define standards and automation frameworks for bare metal provisioning and lifecycle management Design and implement Bare Metal as a Service (BMaaS) capabilities for scalable infrastructure consumption Architect and design Kubernetes platforms on bare metal with QoS and Affinity (ArgoCD) Architect and validate automated deployments of operating systems and hypervisors including Ubuntu and Harvester Design and maintain PXE-based provisioning environments leveraging Redfish APIs for large-scale server deployments Develop Infrastructure-as-Code using Ansible, Terraform, Helm and Git, with Python/Bash automation. Implement CI/CD pipelines for infrastructure updates, patching, upgrades, testing, and rollback. Design automated workflows for server build, firmware lifecycle management, patching, and hardware validation Evaluate and standardize enterprise hardware platforms to meet performance, scalability, and reliability requirements Produce detailed high-level and low-level design documentation , build guides, and operational handoff materials Perform deep troubleshooting across storage, Kubernetes, hypervisors, networking, and Linux systems Partner with operations, network, storage, and platform teams to ensure designs are supportable and production-ready Participate in on-call escalation support for complex platform-related issues Collaborate globally on change management , documentation, and operational best practices Minimum Qualifications 6 + years of experience in infrastructure engineering, platform engineering, or DevOps with a strong focus on Compute system design Proven experience designing and automating bare metal compute environments at scale Strong hands-on experience with PXE boot, network-based OS provisioning, and automated server imaging Experience implementing or supporting Bare Metal as a Service (BMaaS) platforms Practical experience using Redfish APIs for hardware provisioning, power management, and remote lifecycle operations Deep expertise with Ubuntu Linux in enterprise environments Strong Hands-on experience with KVM hypervisors (Suse Harvester, OpenStack). Experience designing and deploying production-grade Kubernetes clusters Strong background with enterprise compute hardware platforms , including Cisco UCS, Dell PowerEdge, Supermicro systems & HPE Proficiency with Infrastructure as Code tools (e.g., Terraform, Ansible, or similar) Experience building or supporting CI/CD pipelines for infrastructure and platform automation Strong scripting skills in Python, Bash, or similar languages Demonstrated ability to produce clear, structured technical design documentation Excellent written and verbal communication skills Bachelor's degree in computer science or equivalent professional experience Preferred Qualifications OpenStack, Ubuntu KVM administration. BareMetal as a Service (PXE, Redfish). Kubernetes on BareMetal CIS/NIST security and infrastructure lifecycle management. ITIL Foundation/advanced certifications in support of ITSM standard methodology. Background in telco, edge cloud, or large enterprise environments. Ubuntu Certifications, CNCF Certified Kubernetes Administrator (CKA), Certified Kubernetes Security Specialist (CKS) Master's degree in computer science, IT, Engineering, or a related field preferred; equivalent experience and relevant industry certifications will also be considered What You'll Get A collaborative team that's deeply invested in infrastructure excellence. Complex technical challenges that require creative, scalable solutions. The opportunity to shape a next-generation private cloud platform-built reliability Access to the latest tools, frameworks, and upstream project developments Skills and Attributes: Analytical Thinking & Problem Solving: Demonstrated ability to translate complex, cross-domain requirements into scalable and resilient cloud infrastructure and automation solutions Collaboration & Teamwork: Strong interpersonal and communication skills with a proven track record of effective collaboration across multidisciplinary teams, including developers, operations, security, and product stakeholders Mentorship & Leadership: Passionate about knowledge-sharing and mentorship, with experience guiding junior engineers and fostering a team culture of continuous learning, innovation, and technical excellence in cloud engineering and DevOps practices Work Location: This role is fully remote for candidates who reside outside the 30 mile radius of one of our offices. For candidates who reside within a 30 mile radius of one of our offices, this role is Hybrid and would require 3 days a week (T, W, TH) in office. As part of our continued commitment to diversity, equity, and inclusion, Five9 supports pay transparency during the entire recruitment process. Actual compensation packages are based on several factors that are unique to each candidate including, but not limited to: skill set, depth of experience, certifications, and specific work location. The range displayed reflects the minimum and maximum target for new hire salaries for the job across the United States. Your recruiter can share more about the specific compensation package during your hiring process. Additionally, the total compensation package for this position may also include an annual performance bonus, stock, and/or other applicable incentive compensation plans. Our total reward package also includes: Health, dental, and vision coverage, beginning on the first day of employment. Five9 covers 100% of the employee portion of the health, dental and vision coverage and shares a high portion of the dependent cost. We also offer Short & Long-Term Disability, Basic Life Insurance, and a 401k saving plan with employer matching. Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching and self-guided mindfulness exercises for all covered employees and their covered dependents. Generous employee stock purchase plan. Paid Time Off, Company paid holidays, paid volunteer hours and 12 weeks paid parental leave. All compensation and benefits are subject to the requirements and restrictions set forth in the applicable plan documents and any written agreements between the parties. The US base salary range for this role is below. $82,300-$228,800 USD Five9 embraces diversity and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better we are. Five9 is an equal opportunity employer. View our privacy policy, including our privacy notice to California residents here: -pt/legal. Note: Five9 will never request that an applicant send money as a prerequisite for commencing employment with Five9.

Job Description Job Description Senior Software Engineer, Reliability Remote, US About Nametag Nametag is building the future of secure digital identity. Our mission is to make it easy for people and organizations to prove who they are online, safely and seamlessly. We're pioneering next-generation identity verification and account protection so that users can control their own identity, and companies can build trust without friction. By enabling trust at scale, we help enterprises reduce fraud, streamline onboarding, and deliver secure user experiences that customers love. The Role We're looking for a Senior Software Engineer to own infrastructure, reliability, and platform engineering at Nametag. You'll design and scale the systems that keep our identity verification platform fast, secure, and always available, and build the tooling that makes our engineering team more productive and autonomous. This is a hands-on, high-impact role. You'll work closely with engineering and product leadership to make critical decisions about how we build, deploy, and operate our systems, and then execute on them. If you've thrived in fast-moving environments and care deeply about uptime, correctness, and developer experience, we'd love to meet you. What You'll Do Infrastructure & Reliability Design, build, and maintain scalable, cost-effective cloud infrastructure across AWS and Fly.io. Own deployment strategy and service design across our monolith and microservices, including schema migrations and rollout safety. Manage infrastructure-as-code (CloudFormation, Terraform or equivalent) for reproducible, auditable infrastructure. Identify reliability risks, performance bottlenecks, and security gaps, and address them proactively. Observability & Incident Response Evolve our observability stack: logging, distributed tracing, metrics, and uptime monitoring. Evolve on-call practices and incident response processes that keep us ahead of customer-impacting issues. Champion a culture of reliability: postmortems, runbooks, and continuous improvement after incidents. Developer Enablement Manage and improve our CI/CD pipelines (GitHub Actions) and establish deployment best practices. Build internal platform tooling and abstractions that reduce toil and increase engineering velocity. Partner with product engineers to make infrastructure easy to use correctly and hard to use incorrectly. Data & ML Infrastructure Design and operate data pipelines that support our ML-powered verification systems. Evolve our MLOps infrastructure so models can be trained, evaluated, and deployed safely and repeatedly. Collaboration & Leadership Work closely with engineering and product leadership on technical roadmap decisions. Review code, mentor peers, and help raise the bar on security, reliability, and operational discipline. Communicate infrastructure tradeoffs clearly across technical and non-technical stakeholders. Ideal Qualifications Work Authorization (Required): Applicants must be legally authorized to work in the United States for any employer without current or future need for visa sponsorship. This is a firm requirement. The technical qualifications below are guidelines. We know that no candidate will perfectly match every requirement, and that's okay. If you're passionate about what we're building and have most of the skills below, we'd love to hear from you. Cloud & Infrastructure: Hands-on experience managing and securing cloud infrastructure. AWS required; Fly.io or similar a plus. Infrastructure-as-Code: Production experience with Terraform or equivalent tools. Databases: Deep experience with PostgreSQL, including schema design, migrations, and query performance tuning. CI/CD: Strong experience designing and managing pipelines, GitHub Actions preferred. Languages: Proficiency in modern, type-safe languages. Go strongly preferred. Observability: Experience building and operating logging, tracing, and metrics systems in production. MLOps & Data Pipelines: Prior experience shipping ML infrastructure into production, not just experimentation. Startup experience: You've worked at an early-stage company and know what it means to move fast without compromising the things that matter. Security: Security-minded by default. You design with the threat model in mind, not as an afterthought. What We Value Intellectual horsepower. Quickly grasping complex technical and business concepts. Kindness and integrity. Earning trust is central to how we build relationships with customers and colleagues. Bias for action. We move quickly to deliver impact and protect our customers against fast-moving threats. Ownership mindset. You care about uptime and stability the way a founder cares about the product. Compensation The base salary range for this full-time position is $120,000 to $190,000, plus equity and benefits. Nametag is a founding member of the Open Imperative, publicly committed to pay equity in the technology industry. We post positions with ranges to encourage people of different backgrounds and experiences to apply. Every offer is benchmarked against market data to ensure fairness and consistency. Final compensation is determined by role, level, and additional factors such as skills, experience, and education. Your recruiter or hiring manager can share more details during the hiring process. Culture & Perks At Nametag, we believe trust starts with how we treat each other. We're a remote-first team that values autonomy, inclusivity, and collaboration, with regular in-person time to stay connected and innovate together. Remote-first: Work from anywhere in the US. Our team spans Seattle, San Francisco, Ann Arbor, Denver, New York City, and beyond. Off-sites: We bring the team together once per quarter for in-person collaboration, often off-site in new places. Flexible schedules: Work in your own time zone; we align key meetings across a shared window. We Offer Competitive salary Meaningful equity ownership Comprehensive health benefits (medical, dental, vision) Flexible paid time off Quarterly team off-sites and travel support New computer hardware and equipment An inclusive environment where your voice has impact and your work drives change

Job Description Job Description Stuut is transforming accounts receivable for B2B companies-making collections smarter and faster for companies that have historically relied on manual processes that are labor intensive and costly. Our platform is gaining traction with finance teams across industrials, chemicals, and manufacturing sectors from Fortune 10 brands to scaling midmarkets. We're backed by top-tier investors including a16z, Khosla, Activant, 1984 Ventures and Page One. The Role We're hiring a Lead Site Reliability Engineer to drive the strategy, architecture, and execution of reliability, scalability, and operational excellence across our platform. You'll build and scale the systems that keep Stuut highly available, performant, and resilient as we grow customers, traffic, and complexity. From defining SLOs and reliability standards to hardening infrastructure, improving observability, and guiding teams through incident response and postmortems, you'll own the engineering rigor that allows us to ship quickly without sacrificing stability . You'll turn strong reliability engineering into real customer trust - creating the guardrails that let product and engineering move fast with confidence. This is a hands-on technical leadership role for an engineer who excels at designing reliable distributed systems, influencing engineering practices, and leading high-impact reliability initiatives across teams. What You'll Do Set the Reliability Strategy: define the long-term vision for site reliability, including SLOs/SLIs, error budgets, availability targets, and operational standards. Build & Scale Reliable Infrastructure: architect and maintain resilient, scalable cloud infrastructure across AWS and Kubernetes, ensuring systems are secure, fault-tolerant, and cost-effective. Own Observability & Monitoring: design and evolve monitoring, alerting, and logging systems that provide clear, actionable signals across services and environments. Lead Incident Response & Postmortems: own incident management practices, lead major incident response, and drive blameless postmortems that result in meaningful system improvements. Improve System Resilience: identify reliability risks and lead efforts around redundancy, failover, capacity planning, and graceful degradation. Optimize CI/CD & Deployment Reliability: partner with engineering teams to ensure deployments are safe, observable, and reversible; improve rollout strategies and reduce operational risk. Partner with Product & Engineering Teams: collaborate early in the development lifecycle to influence system design, scalability, and reliability tradeoffs. Reduce Toil & Improve Developer Experience: automate operational tasks, improve runbooks, and build tooling that reduces manual work and accelerates safe execution. Drive Root Cause Resolution : guide teams through deep debugging of reliability issues, ensuring fixes address underlying causes rather than symptoms. Influence Reliability Culture: promote reliability-first thinking, strong operational hygiene, and shared ownership of production systems across engineering. Mentor & Level Up the Team: coach engineers on reliability principles, incident handling, infrastructure design, and operational best practices. You Might Be a Fit If You Have 7+ years of experience in site reliability engineering, infrastructure engineering, or backend software engineering. Have designed and operated highly available, production-grade systems supporting rapid product iteration. Are fluent in Python and/or TypeScript, and comfortable building automation and tooling to support reliability goals. Have a deep experience with AWS, Kubernetes (EKS), Docker, and cloud-native architectures. Have implemented and evolved observability stacks (metrics, logs, traces) and know how to create high-signal alerting. Understand how to design, measure, and enforce SLOs, SLIs, and error budgets. Have supported systems built with modern stacks such as FastAPI, Vue.js, PostgreSQL (RDS), and event-driven architectures. Have improved reliability and operational maturity in environments using CI/CD pipelines, infrastructure as code, and modern deployment workflows. Can balance reliability, velocity, and cost - making pragmatic tradeoffs that serve customers and the business. Enjoy collaborating across Product, Backend, Frontend, and Infrastructure teams to improve system health. Thrive in a role that blends deep technical execution, system design, and leadership influence in a fast-moving environment. Compensation Top-of-market salary and equity package Benefits (for U.S.-based full-time employees) Medical, dental & vision insurance coverage for you 401(k) & Match Equity Flexible PTO Parental Leave Compensation Range: $200K - $275K

Sr. Distinguished Machine Learning Engineer (Remote-Eligible) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Consumer Engagement Platform organization at Capital One empowers rapid financial product innovation at scale and delivers developer joy, for all Capital One's consumer products and organizations, by providing well-managed, self-service, experimentation-driven, and personalized product development vehicles. Hyper Personalization org is building the intelligence and infrastructure that will enable Capital One to deliver truly individualized, real-time customer experiences at scale - turning every channel into a context-aware decisioning surface, from home feeds to marketing and servicing messages. The org's mission is to move Capital One to deliver always-on, cohort-of-one personalization, powered by resilient data foundations, production-grade ML and GenAI systems, and low-latency application platforms that make it easy for teams across the company to experiment, innovate, and serve the right experience to every customer at the right moment. What you'll do in the role: Define and drive technical strategy and roadmap for our Personalization Platform that powers real-time, personalized product experiences and multi-channel targeted user messaging across all Capital One products and services. Partner cross-functionally with Product, Data science, Cloud infrastructure, and Machine learning platform teams to align on and co-develop the advanced recommendation systems and algorithms serving our Capital One users. Develop and maintain a flexible, scalable rules engine to enable business-driven personalization logic, allowing dynamic configuration of user segmentation, targeting rules, and real-time decisioning while integrating seamlessly with ML-driven recommendations. Design, build and maintain robust ML infrastructure and pipelines to support end-to-end workflows including feature extraction, model training, testing, guardrails, model evaluation, deployment, and both real-time and batch inference - ensuring high performance, scalability, and reliability. Architect low-latency, event-driven systems for enabling real-time dynamic personalization and decisioning based on streaming data, user behavior, and contextual signals. Drive the evolution of MLOps practices by building automated metrics-backed deployment workflows, integration validation and testing systems, and scalable monitoring & observability. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Provide organizational technical leadership to influence architecture, engineering standards, cross-team strategies, mentoring engineers and driving organization wide platform innovation. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree At least 10 years of experience designing and building data-intensive solutions using distributed computing At least 7 years of experience programming in C, C++, Python, or Scala At least 4 years of experience with the full ML development lifecycle using modern technology in a business critical setting Preferred Qualifications: 8+ years of experience deploying scalable, responsible AI solutions on major cloud platforms (AWS, GCP, Azure); Master's or PhD in Computer Science or a relevant technical field. 5+ years of proven expertise in designing, implementing and scaling personalization platform and recommendation systems serving one or more areas of Feed Personalization/Ads Ranking/Targeted Marketing Messaging. 5+ years of strong proficiency in Python, Java, C++, or Golang; hands-on experience with ML frameworks (PyTorch, TensorFlow) and orchestration tools (Databricks, Airflow, Kubeflow). 5+ years of experience developing and applying state-of-the-art techniques for optimizing training and inference systems to improve hardware utilization, latency, throughput, and cost. 5+ years of deep expertise in cloud-native engineering, containerization (Docker, Kubernetes), and automated CI/CD deployment. Passion for staying on top of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Proven leadership in driving platform strategy, fostering cross-functional collaboration, and influencing technical direction across the company. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr Distinguished Machine Learning Engineer McLean, VA: $314,800 - $359,300 for Sr Distinguished Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to . click apply for full job details

Senior Software Developer - Web Pay from $96,000 to $148,000 per year Corporate Headquarters 12575 Uline Drive, Pleasant Prairie, WI 53158 Enhance and support world-class websites at Uline. As a Senior Software Developer, you'll apply your full-stack expertise to create scalable, high-performing web applications. You'll provide technical leadership, mentor developers and help deliver innovative solutions that keep our e-commerce applications reliable and always available across our growing North American company. Careers Packed with Potential. Backed by 45+ years of success, Uline offers opportunities to grow your career with stability you can count on. Position Responsibilities Design, develop and maintain scalable web applications that support Uline's growing e-commerce business. Participate in project planning, architecture discussions and code reviews to deliver high-quality, reliable software solutions. Mentor and coach fellow developers, providing technical guidance and helping resolve complex programming challenges. Partner across development teams to improve processes and deliver solutions that enhance performance and the customer experience. Minimum Requirements Bachelor's degree in Computer Science, Information Technology or related field. 5+ years of software development experience. Experience designing and developing web or e-commerce applications using .NET, Java JavaScript or TypeScript. Familiarity with SQL queries and stored procedures. Uline does not participate in the H1-B lottery. Benefits Complete health insurance coverage and 401(k) with 6% employer match that starts day one! Multiple bonus programs. Paid holidays and generous paid time off. Tuition Assistance Program that covers professional continuing education. Employee Perks On-site café and first-class fitness center with complimentary personal trainers. Over four miles of beautifully maintained walking trails. About Uline Uline, a family-owned company, is North America's leading distributor of shipping, industrial, and packaging materials with over 10,000 employees across 15 locations. Uline is a drug-free workplace. All new hires must complete a pre-employment hair follicle drug screening. All positions are on-site. EEO/AA Employer/Vet/Disabled ()

Senior Software Developer - Java Pay from $96,000 to $148,000 per year Corporate Headquarters 12575 Uline Drive, Pleasant Prairie, WI 53158 Are you ready to design, innovate and lead in a collaborative, cutting-edge tech environment? Uline is seeking a Senior Java Software Developer to spearhead the development, deployment and maintenance of sophisticated Java applications. Your expertise will shape the tech landscape for our growing North American company! Careers Packed with Potential. Backed by 45+ years of success, Uline offers opportunities to grow your career with stability you can count on. Position Responsibilities Craft, test and deploy robust Java applications aligned with business needs using industry-leading technologies and coding standards. Conduct code reviews, optimize performance and ensure application responsiveness while maintaining top-notch quality. Assist in architectural design reviews and project planning, lending your insights for strategic advancements. Guide and mentor fellow developers, exhibiting leadership in cross-functional development practices. Collaborate closely with the development team to ensure consistent processes and timely deliverables. Minimum Requirements Bachelor's degree in Computer Science, Software Engineering or relevant programming education and experience. 7+ years of hands-on Java full stack development, with a strong track record in enterprise solutions using Spring framework. Extensive experience in REST web services, microservice environments, Git, JPA, SQL, JSON, SOAP, XML and code versioning tools. Working knowledge of caching, service discovery, CI / CD tools and familiarity with Agile methodologies. Uline does not participate in the H1-B lottery. Benefits Complete health insurance coverage and 401(k) with 6% employer match that starts day one! Multiple bonus programs. Paid holidays and generous paid time off. Tuition Assistance Program that covers professional continuing education. Employee Perks On-site café and first-class fitness center with complimentary personal trainers. Over four miles of beautifully maintained walking trails. About Uline Uline, a family-owned company, is North America's leading distributor of shipping, industrial, and packaging materials with over 10,000 employees across 15 locations. Uline is a drug-free workplace. All new hires must complete a pre-employment hair follicle drug screening. All positions are on-site. EEO/AA Employer/Vet/Disabled ()

Senior Software Developer - Web Pay from $96,000 to $148,000 per year 2200 S. Lakeside Drive, Waukegan, IL 60085 Enhance and support world-class websites at Uline. As a Senior Software Developer, you'll apply your full-stack expertise to create scalable, high-performing web applications. You'll provide technical leadership, mentor developers and help deliver innovative solutions that keep our e-commerce applications reliable and always available across our growing North American company. Careers Packed with Potential. Backed by 45+ years of success, Uline offers opportunities to grow your career with stability you can count on. Position Responsibilities Design, develop and maintain scalable web applications that support Uline's growing e-commerce business. Participate in project planning, architecture discussions and code reviews to deliver high-quality, reliable software solutions. Mentor and coach fellow developers, providing technical guidance and helping resolve complex programming challenges. Partner across development teams to improve processes and deliver solutions that enhance performance and the customer experience. Minimum Requirements Bachelor's degree in Computer Science, Information Technology or related field. 5+ years of software development experience. Experience designing and developing web or e-commerce applications using .NET, Java JavaScript or TypeScript. Familiarity with SQL queries and stored procedures. Uline does not participate in the H1-B lottery. Benefits Complete health insurance coverage and 401(k) with 6% employer match that starts day one! Multiple bonus programs. Paid holidays and generous paid time off. Tuition Assistance Program that covers professional continuing education. Employee Perks Café featuring affordable daily meal options from local restaurants. On-site fitness center and beautifully maintained walking paths. Best-in-class, clean, modern facilities. About Uline Uline, a family-owned company, is North America's leading distributor of shipping, industrial, and packaging materials with over 10,000 employees across 15 locations. Uline is a drug-free workplace. All new hires must complete a pre-employment hair follicle drug screening. All positions are on-site. EEO/AA Employer/Vet/Disabled ()

Business Intelligence Developer Internship Paid Internship - Summer 2027 Corporate Headquarters 12575 Uline Drive, Pleasant Prairie, WI 53158 Ready to boost your skills and kick-start your career? Join Uline as a 2027 Business Intelligence Developer Intern! You'll gain hands-on experience and work with professionals at a company that recognizes hard work and values people. With our growth and stability, your career possibilities are endless! A 2026 Handshake Early Talent Award-winning company! Position Responsibilities Collaborate with senior Business Intelligence Developer professionals on data integrations, reports and advanced analytics. Work with business partners to understand their needs and provide actionable solutions. Use tools like Informatica, Python and Microsoft's BI Stack to develop solutions. Keep documentation up to date, including requirements, designs and user guides. Minimum Requirements This full-time, 12-week internship is open to Junior-status college students only. Pursuing a bachelor's or master's degree in IT, data science or a related field. Strong analytical, problem-solving and critical thinking skills. Experience using Python and SQL. Benefits of a Uline Internship Gain professional work experience by executing meaningful business projects. Work with a dedicated mentor assigned specifically to you. Live nearby in complimentary housing for out-of-town interns. Join a positive and collaborative in-person work environment. Earn competitive pay over summer and the potential to join Uline full-time upon graduation. Intern Perks "Lunch and Learn" sessions to expand your business and industry knowledge. Outings and networking events with interns across all departments. On-site café with meals prepared fresh by executive chefs. First-class fitness center with sauna and walking trails. About Uline Uline, a family-owned company, is North America's leading distributor of shipping, industrial, and packaging materials with over 10,000 employees across 15 locations. Uline is a drug-free workplace. All new hires must complete a pre-employment hair follicle drug screening. All positions are on-site. EEO/AA Employer/Vet/Disabled () Our employees make the difference and we are committed to offering exceptional benefits and perks! Explore Uline.jobs to learn more!

Job Title: Senior Full Stack Java Developer (React) Location: Newark, DE / Charlotte, NC Onsite required Duration: Contract - 11 months Pay Range: $65.05/hr (W2) Job ID: 406720 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking a Full Stack Developer (Java + ReactJS) to join our dynamic team supporting the Workforce Management Portal. The ideal candidate will have strong experience in Java, Spring, and modern front-end development with ReactJS and a proven ability to design, build, and deliver scalable, high-performance, and secure web applications. Responsibilities: Design, develop, and maintain full stack web applications using Java, Spring, and ReactJS. Build reusable, testable UI components and Single Page Applications. Develop RESTful APIs and integrate front-end components with back-end services. Write unit tests with JUnit and ensure code quality through reviews and automation. Collaborate within Agile teams to refine requirements and deliver increments. Troubleshoot, optimize, and enhance performance, security, and maintainability. Required Skills & Qualifications: 10+ years of relevant IT development experience. 6+ years hands-on web development with Java and Spring (Spring MVC, Spring Batch). Expert-level ReactJS with 4+ years building SPAs and reusable component libraries. Proficiency in HTML5, CSS3, JavaScript, jQuery, Node.js. Strong experience creating and consuming REST APIs (JAX-RS, Swagger, YAML). Working knowledge of SQL and RDBMS, preferably SQL Server. JUnit test development and familiarity with CI/CD practices. Basic knowledge of XML, JSON, and schema processing technologies. Preferred Skills: Experience with Agile frameworks such as Scrum, SAFe, or Lean Agile. Source control with Git, Bitbucket, or SVN. Build tools including Maven and Ant. CI/CD and automation tools such as Jenkins and Ansible Tower. IDEs and editors such as IntelliJ IDEA, Eclipse, WebStorm, Atom, Notepad , Sublime Text, or Web Matrix. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.