43 jobs found

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 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 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 Job Description Senior Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home As the Senior Machine Learning Engineer, you are an independent owner of critical Machine Learning (ML) subsystems in production. You take ambiguous problems, design practical solutions, and ship systems that operate reliably at scale. This is a hands-on, high-impact role focused on depth. This position is 100% Remote. Senior Machine Learning Engineer Responsibilities: - Build core Machine Learning (ML) systems that power a proactive, long-horizon Artificial Intelligence (AI) product. - Own work end-to-end: data preparation, training, evaluation, inference, and iteration. - Turn research ideas into working systems that run reliably in production. - Debug model failures and system issues using real production signals. - Iterate quickly: ship, measure outcomes, refine, and repeat. - Collaborate closely with research, product, and engineering to deliver real user impact. - Mentor and review work from other Machine Learning (ML) engineers through example and technical judgment. - Work under real production constraints: latency, cost, reliability, and safety Senior Machine Learning Engineer Outcomes: - Machine Learning (ML) models and systems in production consistently meet accuracy, latency, reliability, and efficiency targets. - Complex production issues are monitored, debugged, and resolved with minimal disruption. - Training, inference, and data pipelines are robust, scalable, and maintainable over time. - Drive measurable improvements in Machine Learning (ML) systems based on real-world signals and user feedback. - Provide mentorship and technical guidance to peers, raising the overall ML engineering standard. - Collaborate cross-functionally to ensure Machine Learning (ML) features integrate seamlessly into products and meet business goals. Qualifications Senior Machine Learning Engineer Qualifications: - Experience building and shipping Machine Learning (ML) systems used by real users. - Artificial Intelligence (AI) experience required. - Experience understanding how modern Machine Learning (ML) models behave and misbehave in production. - Experience writing strong, production-quality code and think in systems, not scripts. - Experience taking ownership, work independently, and push work across the finish line. - You learn fast, communicate clearly, and improve through iteration. - Tech Stack: GPU-based training and inference systems, JAX, Python, and PyTorch. Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc. Looking to hire an Senior Machine Learning 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 Machine Learning 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 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 looking for a Power Integrity (PI) Engineer to join our platform electrical engineering team. In this role, you will own the power integrity methodology for high-power PCB and system designs - from early architecture through final release - ensuring robust power delivery to high-performance ASICs and supporting components across all operating conditions. Key Responsibilities Perform pre- and post-layout PDN analysis for high-current ASIC power rails: target impedance profiling, decoupling capacitor selection and placement optimization, and plane resonance analysis. Execute DC IR-drop and current density simulations; define copper weight, plane shapes, via stitching, and layer allocation requirements for PCB designers. Conduct AC impedance analysis from VRM output through package and die, including ESR/ESL modeling of the full decoupling network. Develop and validate VRM models; analyze load transient response, AVP/load-line behavior, and multiphase converter performance against ASIC power specifications. Perform power-plane thermal co-simulation and work with mechanical teams on thermal-electrical tradeoffs for high-current delivery. Drive design rule checks for PI compliance; work with layout teams in Cadence Allegro / Sigrity PowerDC/PowerSI or Ansys SIwave. Collaborate with power design, PCB layout, and ASIC/package teams to define power delivery architecture and review guidelines early in the product lifecycle. Support bring-up, debug rail-level issues (droop, ripple, transient excursions), and document root-cause findings with clear corrective actions. Develop and maintain simulation-to-hardware correlation databases to continuously improve PDN modeling accuracy. You may be a good fit if you have (Must-have qualifications) B.S. or M.S. in Electrical Engineering or a closely related discipline. 5+ years of hands-on PI experience on high-current, high-performance designs (ASIC/CPU/GPU power delivery, server boards, or accelerator platforms). Proficiency with industry PI EDA tools (Ansys SIwave, Cadence Sigrity PowerDC/PowerSI/OptimizePI, or equivalent). Strong understanding of target impedance methodology, decoupling network design, plane resonances, and anti-resonance mitigation. Experience with DC IR-drop analysis, current density limits, and via/plane current-carrying capacity. Working knowledge of VRM fundamentals: buck converter operation, multiphase design, transient response, and load-line/AVP concepts. Working knowledge of multi-layer PCB stack-up design and power plane allocation strategies. Strong candidates may also have experience with (Nice-to-have qualifications) Prior work in data center, AI/ML accelerator, networking, or high-performance computing (HPC) hardware environments. Experience with vertical power delivery, high-current lateral delivery tradeoffs, or 48V-to-point-of-load architectures. Package-level PDN co-analysis and experience working with die/package power models from ASIC teams. Experience scripting automated PI simulation flows using Python or MATLAB to reduce manual simulation turnaround time. Benefits Medical, dental, and vision packages with generous premium coverage $500 per month credit for waiving medical benefits Housing subsidy of $2k per month for those living within walking distance of the office Relocation support for those moving to San Jose (Santana Row) Various wellness benefits covering fitness, mental health, and more Daily lunch and dinner in our office 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.

Job Description Job Description The Perception team at Zoox creates the "eyes and ears" of our self-driving robots. Navigating safely and efficiently in complex environments requires detecting, classifying, tracking, and understanding various attributes of surrounding objects-all in real-time and with exceptional accuracy. As an engineer in the Scene Understanding team, you will develop advanced Vision-Language-Action (VLA) models that perceive our vehicle's surroundings to identify hazards and make driving suggestions. You will utilize VLA models for detecting rare events and ensuring safe driving in these situations. You'll work with state-of-the-art machine learning models that operate in real-time on our robotaxi platform with minimal latency. Collaborating with world-class engineers and researchers across sensors, planning, and other teams, you'll have access to premium sensor data and cutting-edge infrastructure to validate your algorithms in real-world conditions. In this role, you will Design and train Vision-Language-Action (VLA) solutions for robotaxis Lead end-to-end data strategy, including mining, auto-labeling, and dataset construction to power our ML flywheel Lead the full post-training stack for VLMs and VLAs, including C ontinual Pre-training (CPT) on domain-specific driving data, Supervised Fine-Tuning (SFT) for instruction following. Utilize our large-scale data pipelines and ML infrastructure to research, prototype, and deploy solutions that improve driving behavior Partner with cross-functional teams to integrate perception signals Qualifications MS or PhD in Computer Science or related field Background in deep learning solutions for VLM and VLA models Track record in post-training large-scale models, CPT, SFT, RL Hands-on experience with production ML pipelines, including dataset creation, training frameworks, and metrics Expertise in Python libraries (PyTorch, NumPy, Pandas, VLLM) Bonus Qualifications Deep knowledge of cutting-edge computer vision techniques Publications in top-tier conferences (CVPR, ICCV, RSS, ICRA) Experience with integrating large language models to various tasks. 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 The Perception team at Zoox is fundamental to our autonomous vehicle technology, creating the understanding of the world for our self-driving robots. We enable safe and efficient navigation in complex environments through sophisticated detection, classification, and tracking systems. As a software engineer on the perception mapping team, you will be a key contributor to Zoox's online mapping initiative. You will design, train, validate, and integrate into the stack ML models that detect semantic map elements in the world. Your work will touch on all aspects of ML development, including data gathering, labeling, training, validation, and onboard integration. Your work will enable important milestones to scaling and autonomy capabilities and will be critical to the success of Zoox. In this role, you will: Curate, validate, and label datasets for model training and validation Research, implement, and train ML models to perform semantic map element detection Closely collaborate with validation teams to formulate and execute model validation pipelines Integrate models into the greater onboard autonomy system within compute budgets Be a technical leader on the team, maintaining coding and ML development best practices and contributing to architectural decisions Qualifications: MS or PhD or equivalent experience (5+ years) in Computer Science or related field Experience in computer vision or robotics Experience with training and deploying deep learning models Experience with with Python libraries (pytorch, numpy) Bonus Qualifications: Experience with C++ Experience with CUDA and/or GPU programming Experience with mapping related ML techniques 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. 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 Obsidian Security is the leading SaaS security platform, trusted by global enterprises like Snowflake, T-Mobile, and Algolia. We protect 200+ organizations across North America, Europe, the Middle East, Southeast Asia, Australia, and New Zealand, including many of the world's largest Fortune 1000 and Global 2000 companies. Founded in 2017 and backed by top investors like Greylock, Obsidian was built to close a critical gap: securing SaaS apps where business happens-Microsoft 365, Salesforce, and hundreds more. The company does this by offering a complete SaaS security platform to reduce risk, detect and respond to threats, and prevent breaches at the source. Obsidian was built by leaders who redefined endpoint and identity security at CrowdStrike, Okta, Cylance, and Carbon Black. Now, they're transforming how SaaS is secured. With AI driving rapid SaaS growth and complexity, agentic AI tools gain privileged access to sensitive data through integrations, creating new risks most security tools miss. Obsidian uniquely detects anomalous OAuth token activity and manages integration risks. Major announcements are on the horizon. Recognizing that SaaS security needs to evolve, Obsidian enables growing organizations to start with a lightweight, prevention-focused browser extension and expand coverage over time. With global momentum, a growing partner ecosystem including SentinelOne, Databricks, and Google Cloud, and a major fundraise ahead, Obsidian is scaling rapidly toward long-term growth and IPO readiness. Sr. Staff Site Reliability Engineer As a Sr. Staff SRE at Obsidian , you will define and drive the company-wide reliability vision for a complex, multi-tenant SaaS platform serving enterprise and financial customers. You will operate as a strategic partner to DevOps and Platform Engineering leadership, shaping a unified reliability strategy that scales across the organization. Your core mandate: ensure Obsidian detects, diagnoses, and communicates system issues before customers are impacted-consistently and predictably. This is a hands-on technical role that involves architecting and leading the implementation of systems that handle real-world complexity, including upstream SaaS dependencies, sparse and noisy signals, and mission-critical enterprise workloads. Key Responsibilities Reliability Strategy & Architecture - Define and lead long-term reliability strategy across services. Establish end-to-end system visibility frameworks and guide architecture for observability, detection, and resilience. Cross-Org Leadership - Partner across teams to embed reliability, standardize SLI/SLOs, and serve as a technical escalation expert. Detection & Observability - Build intelligent detection systems (anomaly detection, connector health models) and enable self-service observability. Incident Management - Define and evolve a tiered incident communication strategy , improve response practices, and lead postmortems to strengthen reliability and customer trust. Execution - Contribute hands-on to system design, monitoring, and debugging across distributed systems and data pipelines. Required Qualifications 5+ years in SRE, Production Engineering, or related roles 3+ years operating at a senior or technical leadership level (Staff or equivalent scope) Deep expertise in: AWS and/or GCP Kubernetes and Helm Observability stacks (Prometheus, Grafana, or equivalent) CI/CD systems (GitLab CI/CD, ArgoCD, etc.) Proven experience designing and scaling reliability systems for multi-tenant SaaS platforms Strong debugging and systems thinking across distributed microservices and legacy systems Demonstrated ability to lead initiatives that improve incident detection, response, and system resilience Hands-on engineering approach with a track record of building-not just configuring-reliability systems Preferred Qualifications Experience in B2B SaaS serving enterprise or financial customers Familiarity with third-party SaaS connector architectures and ingestion patterns Experience building anomaly detection or intelligent alerting systems Experience designing customer-facing status pages and incident communication frameworks Why This Role Drive org-wide reliability strategy Own and build new detection & observability systems Tackle complex distributed systems challenges Safeguard critical infrastructure for financial customers What Success Looks Like Issues caught and resolved before customer impact Reliability is measurable and continuously improving Teams self-serve observability with scalable tools Clear, proactive incident communication builds trust Reliability becomes a competitive advantage Employee Benefits Our competitive benefits packages are designed to support our employees' well-being, both at work and at home. Our US based employees enjoy: Competitive compensation with equity and 401k Comprehensive healthcare with dental and vision coverage Flexible paid time off and paid holiday time off 12 weeks of new parent or family leave Personal and professional development resources For more details on our US benefits, or for information on our international benefits, please see here. Pay Transparancy Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location, as well as the knowledge, skills and experience of the candidate. In addition to a competitive base salary, this position is eligible for equity awards and may be eligible for sales commission or incentive compensation based on the role or function within the company. At Obsidian, we are proud to be an equal-opportunity employer. We value diversity and hire for talent, passion, and compassion. In compliance with federal law, all persons hired will be required to submit satisfactory proof of identity and legal authorization. If you have a need that requires accommodation, please contact Information collected and processed as part of any job applications you choose to submit is subject to Obsidian's Applicant Privacy Policy. Base Salary Range $232,000-$263,000 USD

Stefanini Group is hiring! Stefanini is looking for a Mainframe Engineer, Dearborn, MI For quick apply, please reach out to Parul Singh at / We are looking for a candidate who will be responsible for designing, developing, testing, and maintaining software applications and products to meet customer needs. Full-stack software engineering roles, including those responsible for developing both user interfaces and server-side components, also fall within this job function. Employees are expected to leverage AI-assisted development tools and techniques to accelerate delivery, improve code quality, and enhance team productivity. Key Responsibilities Engage with customers to deeply understand their use cases, pain points, and requirements, demonstrating empathy and advocating for user-centric software solutions. Solve complex problems by designing, developing, and delivering solutions using various tools, programming languages, frameworks, methodologies-including Agile-and technologies, including AI-assisted coding tools such as GitHub Copilot, OpenCode, or similar LLM-based development assistants. Assess software application or service requirements and determine the most suitable technology stack, integration method, deployment strategy, and related technical approaches. Create high-level software architecture designs that outline the overall structure, components, and interfaces of applications. Define and implement software testing strategies, guidelines, policies, and processes in alignment with organizational vision, industry regulations, and market best practices. Continuously improve performance, optimize applications, and implement new technologies to maximize development efficiency. Apply programming practices such as test-driven development, continuous integration, and continuous delivery. Support security practices that safeguard user data, including encryption and anonymization. Develop and maintain back-end applications, including APIs and microservices, using server-side programming languages. Skills Required CA-7, Performance Testing, Job Control Language (JCL), Root Cause Analysis, Software Testing, z/OS, AIPGEE, Batch Processing, SQL, IBM DB2, GitHub, TSO/ISPF, REST APIs, Customer Information Control System (CICS), Application Support, Program Analysis, COBOL, Mainframe Systems, JSON, Application Testing, Agile Software Development, GitHub Copilot, AI-Assisted Development, Prompt Engineering, LLM API Integration, AI Code Review Skills Preferred Process Improvement, Google Cloud Platform, BigQuery, Data Migration, Data Management Experience Required 10+ years of experience in IT, 8+ years of experience in software development Education Required Bachelor's degree Listed salary ranges may vary based on experience, qualifications, and local market. Also, some positions may include bonuses or other incentives Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We will also speak with you about the process, including interviews and job offers. About Stefanini Group The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are a CMM Level 5 company.

EIS QA Engineer II (Hybrid) Primary Location: Mississauga, Ontario V-Soft Consulting is currently hiring for an EIS QA Engineer II for our premier client in Mississauga, Ontario. Education and Experience " Proven experience in a quality assurance, testing, or data analysis role, preferably within the AI/ML domain. A deep understanding of the machine learning lifecycle and the common failure modes of AI models. Hands-on experience with data annotation, data validation, and managing large datasets. Meticulous attention to detail and a methodical approach to problem-solving. Strong analytical skills with the ability to identify patterns in data and draw meaningful conclusions. Expertise with industry-standard test automation tools and libraries (e.g., Selenium, Playwright, Cypress, REST-assured). Experience in testing across different platforms (e.g. comprehensive testing of mobile Android/iOS and web applications). Experience with bug tracking systems (e.g., Jira) and test case management tools. Scripting skills (e.g., Python) for test automation and data manipulation. (Preferred) experience in testing AI systems, including evaluating agentic responses, model performance metrics, and data integrity. Excellent communication skills, with the ability to clearly document bugs and articulate complex technical issues. Familiarity with computer vision or other specific AI domains relevant to our work. WHAT YOU'LL DO: Job Responsibilities: Evaluation Strategy & Benchmark Development: Design, develop, and maintain a comprehensive suite of test cases and evaluation benchmarks. Proactively identify potential model failure points, including edge cases, adversarial inputs, and sources of bias. Error Analysis & Failure Triage: Conduct systematic error analysis to categorize model failures and identify underlying patterns. Triage defects, prioritize them based on severity and impact, and work with the development team to ensure resolution. Data Sourcing & Curation: Source, curate, and manage high-quality datasets for model evaluation and testing. This includes performing data annotation and validation to ensure the integrity of our ground-truth data. Exploratory & Adversarial Testing (Red Teaming): Perform unscripted, exploratory testing to discover unexpected model behaviors. Participate in red teaming exercises to intentionally challenge our models and identify potential safety and security vulnerabilities. Test Environment Management: Set up, maintain, and troubleshoot testing and demonstration environments to ensure a stable and reliable evaluation pipeline. Reporting & Insights: Analyze and synthesize test results into clear, actionable reports for both technical and non-technical stakeholders. Translate complex findings into concrete recommendations for model improvement. Process Improvement: Actively participate in post-hoc evaluation reviews and contribute to the continuous improvement of our testing methodologies, tools, and overall quality assurance processes. Interested? Qualified candidates should send their resumes to V-Soft Consulting Group is recognized among the top 100 fastest growing staffing companies in North America, V-Soft Consulting Group is headquartered in Louisville, KY with strategic locations in India, Canada and the U.S. V-Soft is known as an agile, innovative technology services company holding several awards and distinctions and has a wide variety of partnerships across diverse technology stacks. As a valued V-Soft Consultant, you're eligible for full benefits (Medical, Dental, Vision), a 401(k) plan, competitive compensation and more. V-Soft is partnered with numerous Fortune 500 companies, exceptionally positioned to advance your career growth. V-Soft Consulting provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. For more information or to view all our open jobs, please visit or call .

At Whitman, Requardt & Associates, LLP, we are People Focused and Project Driven . We have been in business for more than 110 years and we are known for our quality work and quality employees. This is your chance to join our team - help us to design the infrastructure and buildings that improve the world! WRA is seeking a Full Stack Developer to join our Design Application group in our Baltimore office to provide support to architectural and engineering professionals. The applicant will be responsible for the design and development of enterprise level applications and should be versed in various coding languages for web, mobile, and software applications. The applicant also will be responsible for SQL Database design, analysis, and administration. The applicant should be able to design and develop applications with an emphasis on performance, scalability, robustness, and vitality over time. The applicant will need to formally document applications along with operation and maintenance procedures. Requirements: Bachelor's degree in a technical field such as computer science, computer engineering or related field required 5+ years of experience in developing data driven applications using C#, ASP.NET Core, ASP.NET MVC, and Entity Framework Experience in working with a team of developers to produce production level applications Experience in researching, planning, estimating, and designing applications to meet business needs, including customizations and integration components Experience in developing design and code solutions using best practices and common patterns, including databases, component layers, user interfaces, and web services Experience in coding standards and best practices Experience in the design of web application architecture Possess a strong understanding of security and data protection implementation Experience in troubleshooting and providing customers with knowledgeable "how to" assistance through a thorough understanding of applications and the supported business processes Self-directed and motivated to see and find efficient and cost-effective opportunities for change Ability to supervise, guide, and mentor junior staff, fostering professional growth and team development Ability to manage mission critical or highly available platforms and applications Unit/Integration testing techniques Experience working with graphic designers and converting designs to visual elements Experience with test driven development, and agile engineering practices including continuous integration Experience with HTML, CSS, Bootstrap and JavaScript Experience with relational databases; SQL Server Experience with Agile process and working as part of a distributed team Ability to write and maintain clear, secure, and scalable code Working knowledge of using a distributed version control system within a team environment (i.e., Team Foundation Server/Azure DevOps) Must have excellent communication, customer service, organizational, writing, and problem-solving skills, and be a team player Ability to work independently and manage one's time Must be a US Citizen Applicants with the following experience will be considered favorably: Content management system experience Experience with cloud message APIs and usages of push notifications. Experience with Microsoft Azure, WCAG compliance, REST API design and development Web Server administration Experience with SharePoint development and maintenance Understanding and experience with security fundamentals, role-based security, and familiarity using encryption keys and controls Experience creating web application wireframes and mockups. Good understanding of user experience (UX/UI) concepts and their application in developing an appealing user interface SPA frameworks - Angular, React, Vu Benefits: WRA recognizes that employees play an important role in its success. Our commitment to full-time employees is reflected in the comprehensive benefits package we offer: Flexible work schedule options Competitive salary Leave accrual and paid holidays Healthcare benefits Group Life Insurance, as well as additional optional life Insurance, short and long term disability insurance Flexible spending accounts for medical and dependent care reimbursement 401(k) Retirement Plan Tuition Reimbursement Employee Assistance Program Parental and maternity leave benefits WRA is an equal opportunity/affirmative action employer and complies with all applicable anti-discrimination laws. The expected annual compensation range for this position is $120,000.00 - $165,000.00. This range represents a good faith estimate for this position. The specific compensation offered to a candidate may vary based on factors including, but not limited to, the candidate's relevant knowledge, training, skills, work location, and/or experience. Applicants must be currently authorized to work in the United States on a full-time basis without the need for employment-based visa sponsorship now or in the future. WRA will not sponsor applicants for U.S. work visa status for this opportunity. (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa) Not accepting resumes from 3rd party recruiters for this position Position # 3217 -Onsite - Mid-Level

Cloud Software Engineer III (Hybrid) Primary Location: St. Louis, Missouri V-Soft Consulting is currently hiring for a Cloud Software Engineer III for our premier client in St. Louis, Missouri. Education and Experience " Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field. Equivalent combination of education and directly relevant experience may be considered. 7+ years of progressive cloud engineering experience in enterprise environments. Demonstrated hands-on expertise with AWS (EC2, S3, RDS, Lambda, VPC, IAM, CloudFormation, EKS, etc.). Hands-on experience with Oracle Cloud Infrastructure (OCI) (Compute, Networking, Object Storage, IAM, OKE, etc.). Proven experience supporting mission-critical production systems with high availability requirements. Strong background in Linux and Windows server administration. Solid understanding of cloud networking, security architecture, and hybrid connectivity (VPN, Direct Connect, FastConnect). Experience with IaC tools (Terraform strongly preferred). Experience implementing CI/CD pipelines and DevOps practices. Familiarity with regulatory compliance frameworks (NERC CIP, SOX, or similar). Knowledge, Skills and Abilities " Must-Have Skills: OCI, AWS. Nice-to-have: Hands-on recent experience using Oracle Cloud implementation. WHAT YOU'LL DO: Job Responsibilities: The team is part of the Cloud engineering team. Mainly use AWS. Onboard other teams to Cloud. Additionally, need Oracle Cloud experience. Planning to move to Oracle Cloud, need to work with the design and development of this project. Work with the team and stories (agile team). 3-month PI programming. Will work with existing lead cloud engineers to work on stories. This person will collaborate with other teams, including architecture to design the implementation. Interested? Qualified candidates should send their resumes to V-Soft Consulting Group is recognized among the top 100 fastest growing staffing companies in North America, V-Soft Consulting Group is headquartered in Louisville, KY with strategic locations in India, Canada and the U.S. V-Soft is known as an agile, innovative technology services company holding several awards and distinctions and has a wide variety of partnerships across diverse technology stacks. As a valued V-Soft Consultant, you're eligible for full benefits (Medical, Dental, Vision), a 401(k) plan, competitive compensation and more. V-Soft is partnered with numerous Fortune 500 companies, exceptionally positioned to advance your career growth. V-Soft Consulting provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. For more information or to view all our open jobs, please visit or call .

IT Infrastructure Network Engineer (Onsite) Primary Location: Chicago, Illinois V-Soft Consulting is currently hiring for an IT Infrastructure Network Engineer for our premier client in Chicago, Illinois. Education and Experience " 8+ years of experience in IT infrastructure, network engineering, or enterprise systems deployment. 3+ years leading large-scale system implementations and system management. Experience managing people in a high pressure IT environment. Experience in Procurement, Budgeting, Forecasting, and Asset Management. Experience coordinating across multiple organizations or agencies. Strong expertise in: Network infrastructure (routing, firewalls, QoS, latency). Server environments (on-prem). Endpoint deployment and device management. Knowledge, Skills and Abilities " Proven ability to operate in high-pressure, mission-critical go-live environments. High Degree of ownership in all matters within the IT infrastructure. Excellent written and verbal communication skills with the ability to present complex technical information in a clear and concise manner to a variety of audience. WHAT YOU'LL DO: Job Responsibilities: End-user devices (consoles, mobile units, training environments). Network connectivity (LAN/WAN, firewalls, QoS, latency, failover). Application environments (Production, Training, Development, Disaster Recovery). Hosting environments (On Prem-data centers, power, storage, cooling). Maintain a complete and validated inventory of all hardware and infrastructure assets. Coordination and oversight of Testing and Validation of: Infrastructure performance and stress testing. Network and failover validation. Endpoint device performance and management. Document, maintain and support existing and new internal and external networks as required. Test, install, document and maintain network hardware, network connectivity and servers as required. Monitor and manage disk space usage. Maintain policies for networks and customer usage. Implement and document backup strategies for selected networks. Test, deploy, and document user computer equipment and peripherals. Maintain documentation for software to ensure that remains compliant with licensing policies and requirements. Maintain and enforce data security and confidentiality policies and procedures to ensure the integrity of information systems and data. Maintain security strategies using both hardware and software methodologies to audit, monitor and protect internal and external network connections, network equipment and servers Document and Maintain existing and new internal and external networks as required. Test, install, document and maintain network hardware, network connectivity and servers as required. Monitor and manage disk space usage. Maintain policies for networks and customer usage. Implement and document backup strategies for selected networks. Test, deploy, and document user computer equipment and peripherals. Maintain documentation for software to ensure that remains compliant with licensing policies and requirements. Interested? Qualified candidates should send their resumes to V-Soft Consulting Group is recognized among the top 100 fastest growing staffing companies in North America, V-Soft Consulting Group is headquartered in Louisville, KY with strategic locations in India, Canada and the U.S. V-Soft is known as an agile, innovative technology services company holding several awards and distinctions and has a wide variety of partnerships across diverse technology stacks. As a valued V-Soft Consultant, you're eligible for full benefits (Medical, Dental, Vision), a 401(k) plan, competitive compensation and more. V-Soft is partnered with numerous Fortune 500 companies, exceptionally positioned to advance your career growth. V-Soft Consulting provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. For more information or to view all our open jobs, please visit or call .

Network Security Architect (Remote) Primary Location: Remote V-Soft Consulting is currently hiring for a Network Security Architect (Remote) for our premier client. WHAT YOU'LL NEED: Technical Requirements and Certifications " AWS certifications (e.g., AWS Security Specialty, Solutions Architect). Education and Experience " 5+ years experience in network security architecture or engineering, preferably with a focus on cloud environments (AWS strongly preferred). Strong understanding of network security controls: firewalls (Palo Alto experience highly desired), Security Groups, VPN, and layered defense models. Proven ability to translate application connectivity needs into firewall rule sets and network security designs. Familiarity with AWS networking components (VPC, Subnets, Route Tables, TGWs). Experience working alongside application teams in a collaborative Agile or DevSecOps environment. Excellent communication skills, capable of documenting and presenting complex technical information clearly. Ability to work independently and drive results in a fast-paced, dynamic environment. Must Haves: AWS Public Cloud experience, Expertise in network security and designing and implementing, infrastructure and architecture background, information security background-familiar with technology risk domains. Preferred Qualifications: Experience with enterprise firewall policy management and automation tools. Background in financial services or highly regulated environments. WHAT YOU'LL DO: Job Responsibilities: Collaborate with application and infrastructure teams to gather and analyze network security requirements including connectivity, allowed ports, protocols, and data flows. Translate application requirements into detailed and actionable network security policies and firewall rules. Design and validate network security architecture in AWS, including effective use of Security Groups, Network ACLs, and integration with Palo Alto firewall policies. Work closely with the perimeter defense/security operations team to streamline firewall rule discovery, approval, and deployment processes. Document best practices and standards guiding cloud network security design, specifying when to use Palo Alto vs AWS native controls. Contribute to discovery and planning phases for new migrations, ensuring all network security dependencies are captured. Support troubleshooting and optimization of existing cloud network security configurations. Interested? Qualified candidates should send their resumes to V-Soft Consulting Group is recognized among the top 100 fastest growing staffing companies in North America, V-Soft Consulting Group is headquartered in Louisville, KY with strategic locations in India, Canada and the U.S. V-Soft is known as an agile, innovative technology services company holding several awards and distinctions and has a wide variety of partnerships across diverse technology stacks. As a valued V-Soft Consultant, you're eligible for full benefits (Medical, Dental, Vision), a 401(k) plan, competitive compensation and more. V-Soft is partnered with numerous Fortune 500 companies, exceptionally positioned to advance your career growth. V-Soft Consulting provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. For more information or to view all our open jobs, please visit or call .

ServiceNow Engineer (Hybrid) Primary Location: Houston, Texas V-Soft Consulting is currently hiring for a ServiceNow Engineer for our premier client in Houston, Texas. WHAT YOU'LL DO: Job Responsibilities: Create and maintain Script Includes, REST/SOAP integrations, scheduled jobs, and custom applications using ServiceNow best practices. Configure and maintain CMDB, Discovery, and Service Mapping (preferred). Design, develop, configure, and customize ServiceNow applications and platform capabilities. Gather, analyze, and translate business requirements into technical solutions. Configure and customize workflows, forms, UI policies, business rules, client scripts, UI actions, and notifications. Create technical documentation, including solution designs, configuration documentation, and knowledge articles. Develop and maintain Flow Designer flows, Integration Hub integrations, and automation workflows. Troubleshoot platform issues, identify root causes, and implement sustainable solutions. Support platform upgrades by analyzing impacts, remediating customizations, and performing regression testing. Ensure solutions follow ServiceNow development standards, governance, security, and platform best practices. Interested? Qualified candidates should send their resumes to V-Soft Consulting Group is recognized among the top 100 fastest growing staffing companies in North America, V-Soft Consulting Group is headquartered in Louisville, KY with strategic locations in India, Canada and the U.S. V-Soft is known as an agile, innovative technology services company holding several awards and distinctions and has a wide variety of partnerships across diverse technology stacks. As a valued V-Soft Consultant, you're eligible for full benefits (Medical, Dental, Vision), a 401(k) plan, competitive compensation and more. V-Soft is partnered with numerous Fortune 500 companies, exceptionally positioned to advance your career growth. V-Soft Consulting provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. For more information or to view all our open jobs, please visit or call .

Job Overview: Pay Range: $65hr - $70hr Requirement/Must Have: Strong proficiency in Java 8+/11+, Spring Boot, and Spring MVC. Strong proficiency in React.js, JavaScript (ES6+), HTML5, and CSS3. Experience in REST API development. Experience in Microservices architecture. Experience in Frontend frameworks including React Hooks and Redux. Familiarity with Version control using Git. Familiarity with Build tools such as Maven or Gradle. Familiarity with API tools like Postman and Swagger. Experience with relational databases such as MySQL or PostgreSQL. Knowledge of NoSQL databases like MongoDB or Cassandra is a plus. Experience with messaging systems such as Kafka or RabbitMQ is a plus. Experience with cloud platforms including AWS, Azure, or GCP. Experience with CI/CD tools such as Jenkins, Azure DevOps, or GitHub Actions. Experience with containerization using Docker or Kubernetes is preferred. Responsibilities: Design, develop, and maintain scalable backend services using Java and Spring Boot. Develop RESTful APIs and microservices. Implement business logic, data processing, and integration with external systems. Ensure security, performance, and scalability of backend applications. Build interactive and responsive UI components using React.js. Develop reusable components and front-end libraries. Integrate frontend with backend APIs. Optimize applications for maximum performance and cross-browser compatibility. Work across the stack to deliver end-to-end solutions. Collaborate with UX/UI designers for pixel-perfect implementation. Ensure smooth data flow and state management using Redux or Context API. Build and consume RESTful services using JSON and HTTP protocols. Integrate with third-party services and enterprise systems. Design and manage SQL and NoSQL databases. Write efficient queries and optimize database performance. Work with tools like MySQL, PostgreSQL, and MongoDB. Participate in CI/CD pipeline setup and maintenance. Deploy applications using cloud platforms such as AWS, Azure, or GCP. Work with containers including Docker and Kubernetes. Write unit tests, integration tests, and UI tests. Ensure code quality using tools like SonarQube. Perform debugging and troubleshooting. Work in Agile teams and participate in scrum ceremonies. Collaborate with product owners, QA, and DevOps teams. Provide technical guidance and mentor junior developers. Nice to Have: Knowledge of NoSQL databases (MongoDB, Cassandra). Experience with messaging systems (Kafka, RabbitMQ). Experience with Docker and Kubernetes. Skills: Java. Spring Boot. Spring MVC. React.js. JavaScript. HTML5. CSS3. REST API. Microservices. Redux. Git. Maven. Gradle. MySQL. PostgreSQL. AWS. Azure. GCP. CI/CD. Docker. Kubernetes. Qualification And Education: Strong technical background in Full Stack development. Ability to communicate effectively with stakeholders. Benefits Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Solution Architect (Onsite) Primary Location: San Francisco, California V-Soft Consulting is currently hiring for a Solution Architect for our premier client in San Francisco, California. Education and Experience " 10+ years of experience in P2M and Supply Chain architecture. Hands-on experience across: Integrated Planning concepts like Line Plan, Buy Plan, Visual Mapping & Space Planning, Size & Pack, Allocation etc. Strong knowledge of cloud-native, API-first, and event-driven integration patterns. Experience with AI/ML applied to marketing - personalization, propensity modeling, and audience intelligence. Retail, CPG, or DTC brand experience strongly preferred. Preferred Qualifications Familiarity with Agentic AI or LLM applications in P2M automation or Employees engagement. Exposure to composable P2M and MACH architecture principles. Knowledge, Skills and Abilities " Able to integrate quickly into an existing team and contribute without significant ramp-up. Strong communication skills - able to translate complex P2M concepts into business value for executive audiences. Comfortable working in ambiguous, fast-moving environments with multiple stakeholders. Collaborative team player who can operate within established processes and governance frameworks. WHAT YOU'LL DO: Job Responsibilities: Develop architecture blueprints and capability roadmaps that align P2M investments with business outcomes. Assess the current P2M landscape and Vendor capability to identify gaps, redundancies, and modernization opportunities across Line Plan, Buy Plan, Visual Mapping & Space Planning, Size & Pack, Allocation etc. Advise on Agentic AI-powered P2M use cases including predictive segmentation, next-best-action, personalization, and content automation. Partner with P2M, Engineering, and Data teams to evaluate vendors, define integration patterns, and support platform decisions. Provide guidance on composable patterns, API-first integrations, and data flow design across marketing platforms. Contribute to architecture reviews and governance for P2M investments and platform consolidations. Produce clear documentation - architecture diagrams, decision frameworks, and recommendations - aligned to team standards. Interested? Qualified candidates should send their resumes to V-Soft Consulting Group is recognized among the top 100 fastest growing staffing companies in North America, V-Soft Consulting Group is headquartered in Louisville, KY with strategic locations in India, Canada and the U.S. V-Soft is known as an agile, innovative technology services company holding several awards and distinctions and has a wide variety of partnerships across diverse technology stacks. As a valued V-Soft Consultant, you're eligible for full benefits (Medical, Dental, Vision), a 401(k) plan, competitive compensation and more. V-Soft is partnered with numerous Fortune 500 companies, exceptionally positioned to advance your career growth. V-Soft Consulting provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. For more information or to view all our open jobs, please visit or call .

Hiring: Principal Infrastructure Engineer Location: San Francisco, CA (Hybrid) Employment Type: Contract (C2C/W2) Work Authorization: USC / H4 EAD / H1B Apply: We are looking for an experienced Principal Infrastructure Engineer to design and deploy scalable, secure infrastructure for Nextdata OS across multi-cloud environments. This is an exciting opportunity to work on Kubernetes-native technologies, cloud infrastructure, CI/CD automation, and large-scale distributed systems. Key Responsibilities Design and implement deployment models for PaaS, SaaS, and customer-managed environments. Build scalable Infrastructure-as-Code (IaC) solutions using modern cloud technologies. Develop and optimize CI/CD pipelines for cloud-native applications. Deploy and operate secure, highly available Kubernetes platforms across multi-cloud environments. Collaborate with customers, product teams, and engineering to deliver scalable infrastructure solutions. Drive platform reliability, observability, security, and performance optimization. Conduct infrastructure code reviews, security reviews, and architecture improvements. Support production environments and ensure operational excellence. Required Qualifications Bachelor's Degree in Computer Science, Engineering, or a related field. 8+ years of Infrastructure Engineering experience. Strong expertise in Kubernetes (EKS, GKE, AKS) and Docker. Hands-on experience with Infrastructure as Code (Terraform, CloudFormation). Experience with AWS, Azure, and GCP cloud platforms. Strong experience building CI/CD pipelines for cloud-native applications. Experience deploying and managing PaaS and SaaS platforms. Knowledge of data and ML platforms including Snowflake and Databricks. Experience with cloud networking (AWS VPC, Azure VNet, GCP VPC). Experience with observability tools (Prometheus, ELK Stack, Grafana, or similar). Experience with service mesh technologies such as Istio or Linkerd. Strong understanding of cloud security, scalability, reliability, and distributed systems. Excellent troubleshooting, automation, and customer-facing communication skills. Interested candidates, please share your updated resume to: Rachael IT Services Development Staffing Email: Direct:

Data Engineer III (Onsite) Primary Location: Cincinnati, Ohio V-Soft Consulting is currently hiring for a Data Engineer III for our premier client in Cincinnati, Ohio. Education and Experience " Technical Degree or related work experience. Experience with non-relational & relational databases (SQL, MySQL, NoSQL, Hadoop, MongoDB, etc.). Experience programming and/or architecting a back-end language (Java, J2EE, etc.). WHAT YOU'LL DO: Job Responsibilities: Install/update disaster recovery procedures. Design, construct, install, test and maintain data management systems. Build high-performance algorithms, predictive models, and prototypes. Ensure that all systems meet the business/company requirements as well as industry practices. Integrate up-and-coming data management and software engineering technologies into existing data structures. Develop set processes for data mining, data modeling, and data production. Create custom software components and analytics applications. Research new uses for existing data. Employ an array of technological languages and tools to connect systems together. Collaborate with members of your team (e.g., data architects, the IT team, data scientists) on the projects goals. Recommend different ways to constantly improve data reliability and quality. Interested? Qualified candidates should send their resumes to V-Soft Consulting Group is recognized among the top 100 fastest growing staffing companies in North America, V-Soft Consulting Group is headquartered in Louisville, KY with strategic locations in India, Canada and the U.S. V-Soft is known as an agile, innovative technology services company holding several awards and distinctions and has a wide variety of partnerships across diverse technology stacks. As a valued V-Soft Consultant, you're eligible for full benefits (Medical, Dental, Vision), a 401(k) plan, competitive compensation and more. V-Soft is partnered with numerous Fortune 500 companies, exceptionally positioned to advance your career growth. V-Soft Consulting provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. For more information or to view all our open jobs, please visit or call .