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Job DescriptionSenior Software Engineer Senior Software Engineer (Backend / Platform) Remote| $150K-$225K Base + Equity A rapidly growing software company is hiring Senior Engineers to help build scalable products and internal systems powering complex operational workflows for enterprise customers. The engineering team is highly product-focused and operates in a fast-moving, low-bureaucracy environment where engineers are trusted with significant ownership and autonomy. This role is ideal for engineers who enjoy building systems from the ground up, solving complex technical problems, and working closely with other strong engineers in an execution-focused culture. Responsibilities • Design and build scalable backend services and APIs, • Develop systems that support high-volume operational workflows, • Work across product, platform, and infrastructure initiatives, • Collaborate closely with engineering and product teams to ship quickly, • Contribute to architecture and technical decision making, • Strong software engineering fundamentals, • Experience building modern backend systems, • Startup or high-growth product company experience preferred, • Comfortable working in fast-paced, highly autonomous environments Experience with some combination of: • Node.js, • TypeScript, • Python, • PostgreSQL, • AWS or other cloud platforms Compensation & Benefits • $150K-$225K base salary, • Equity, • Fully remote within the US, • Comprehensive benefits • For this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa. This job was first posted by CyberCoders on 05/07/2026 and applications will be accepted on an ongoing basis until the position is filled or closed.Everforth CyberCoders is proud to be an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. Our hiring process includes AI screening for keywords and minimum qualifications. Recruiters review all results. Everforth CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. Everforth CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. Individuals needing special assistance or an accommodation while seeking employment can contact a member of our Human Resources team at to make arrangements.

Job DescriptionCareer Renew is recruiting for one of its clients a Staff AI Engineer - this is a fully remote role for US-based candidates, as long as they can work EST hours. Salary range: 175-250K USD yearly plus benefits and equity. building the Hyperliquid Agent Runtime. Senpi agents make real trades with real money 24/7, generating a continuous stream of decisions and outcomes across dozens of concurrent strategies. Today, our agents are effective but independent. Each one runs its own logic, and when one discovers a winning pattern, a human has to manually propagate that insight across the fleet. We’re hiring a Staff AI Engineer to make that process autonomous: build the intelligence layer where the fleet learns from itself and gets smarter with every trade. This is a production role, not a research role. The feedback loop is immediate — your work either makes the agents more money or it doesn’t. Every trade is a measurable outcome. What You’ll Own Learning & Optimization The fleet generates thousands of trading decisions per day, each with a measurable outcome. You’ll build the systems that turn this stream into compounding intelligence: * Design and implement the feedback loop that connects trade outcomes back to strategy improvement — signal selection, risk parameters, position sizing, and timing * Build the evaluation framework that quantifies which signals, market conditions, and agent configurations actually predict profitable trades versus which ones are noise * Develop automated strategy generation and testing — the system should explore new configurations, backtest them against real fleet data, and surface candidates for deployment * Detect shifts in market conditions and adapt fleet behavior accordingly — what works in trending markets fails in choppy ones, and the system should recognize the difference Autonomous Fleet Intelligence Build the higher-order agents that manage and improve the fleet without human intervention: * Automated fleet monitoring that catches configuration errors, degraded performance, and infrastructure issues across all agents continuously * Performance attribution that decomposes every trade into its component drivers — was the signal right, was the execution efficient, was the exit well-timed — and feeds those insights back into strategy design * Fleet coordination that manages concentration risk, capital allocation across strategies, and the balance between exploration (testing new approaches) and exploitation (scaling what works) Model & Inference Own the path from external LLM dependence to Senpi-controlled intelligence: * Evaluate and implement the right model hosting strategy — from proxied external models with full telemetry, to fine-tuned domain-specific models on owned infrastructure * Build the telemetry and data capture layer that makes learning possible — every decision, every evaluation, every outcome structured and queryable * Determine whether and how domain-specific training (on trading data, market patterns, and fleet performance) outperforms general-purpose prompted models — then build the pipeline to make it happen * Optimize inference for the specific demands of autonomous trading: many concurrent agents, structured decision outputs, cost-efficient at scale What We’re Looking For Must Have * ML engineering in production — you’ve trained, deployed, and maintained models that run in production and directly impact business outcomes. Shipped systems, not just notebooks * Reinforcement learning or online learning experience — you understand the practical challenges of learning from real-world outcomes rather than static datasets. You’ve built systems where model outputs generate actions that generate feedback that improves the model * Strong software engineering — Python is your primary language, comfortable with Go or TypeScript for production services. You build data pipelines and distributed systems, not just models * You’ve closed the loop — the single most important qualification. You’ve built a system where predictions lead to actions that generate outcomes that feed back into better predictions. End-to-end, in production, with measurable improvement over time Strong Plus * Experience with financial ML — signal generation, alpha research, portfolio optimization, or execution optimization * LLM fine-tuning and serving — PEFT/LoRA, vLLM, TGI, or custom inference pipelines in production * Multi-agent systems — designing systems where autonomous agents coordinate, compete, or learn from each other * Onchain data or DeFi protocol experience * Background in domains where agents make sequential decisions under uncertainty — robotics, autonomous systems, game AI What This Role Is Not This is not an ML research role where you publish papers and hand off models to an engineering team. You own the full stack from data pipeline to deployed model to production outcome. This is also not a prompt engineering role. While today’s agents use prompted LLMs, the trajectory is toward learned behavior — agents that improve through experience, not through better instructions. Compensation & Package Compensation * Total starting all-in comp: ~$450k * Base salary: $175,000–$250,000 USD (location and experience dependent) * Equity: ~1% initial stock grant, valued at $230,000 in last round, projected to double in next 6 months * Plus: Team-wide eligibility for salary increases and bonuses tied to revenue and usage * Plus: Token upside: pro-rata participation in Senpi’s token launch (planned for 2026) This role is meaningfully ownership-driven, with upside tied directly to company success.

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture. Our customers rank among the who's who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins - big and small. Supported by operating principles of being strategy-led, ___-based and disciplined in execution, you'll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let's build what's next - together! ABOUT THE ROLE This role sits within Anaplan's IT Customer Experience organization and is focused on transforming how Anaplanemployeeswork. You will design, build, and scale AI tools, agents, and capabilities that drive productivity, smarter decision-making, and operational efficiency across our global workforce. Anaplan is building its Enterprise AI Center of Excellence (COE) - a one-stop shop for all internal AI at Anaplan - and is looking for an AI Principal Architect to lead it from a technical standpoint. This is a senior, newly created role at the intersection of hands-on enterprise AI engineering, internal system architecture, technical leadership, and workforce enablement. The AI Principal Architect will own the technical vision for Anaplan's internal AI - designing the reference architecture for LLMs, agentic AI, and Gemini Enterprise; setting engineering standards; evaluating emerging platforms; and ensuring every employee-facing initiative is built with rigor, scalability, and responsible design. This role carries a hybrid profile: deep individual technical contribution combined with team leadership influence. You will mentor engineers, guide architectural decisions, serve as the primary technical escalation point, and contribute a forward-looking perspective to the 2-3 yearAI technology roadmap - without necessarily holding formal management authority over all contributors. You will report directly to the Director, IT Customer Experience, who co-leads the Enterprise AI COE alongside the Financial Flexibility Lead and a GTM Champion as a 3-in-a-box. You will collaborate closely with Technical/Engineering teams (dotted-line, foragent development and delivery) and the Transformation & Financial Flexibility team (toidentifyAI-driven cost-saving opportunities). KEY RESPONSIBILITIES Reference Architecture & Enterprise AI Engineering • Own and publish the reference architecture for Anaplan's internal AI - covering LLMs, agentic AI frameworks, Gemini Enterprise integrations, and data pipelines., • Architect end-to-end internal enterprise AI solutions designed for the scale, security, and reliability requirements of a global workforce., • Set and enforce AI engineering standards, coding practices, code review processes, and technical guardrails across all internal AI projects., • Lead hands-on technical design reviews and guide implementation decisions from intake through production deployment., • Evaluate, select, and onboard new enterprise AI platforms and tools - providing technical recommendations grounded in internal workforce needs., • Design the LLM abstraction layer and multi-model strategy tooptimizecost, performance, and flexibility., • Define andmaintaintechnical evaluation criteria for the AI intake process - assessing feasibility,buildcomplexity, security risk, and integration requirements for employee-facing tools., • Ensure all internal AI initiativespassengineering, security, compliance, and responsible AI review before development begins., • Maintain enterprise AI technical policies, engineering standards, and responsible AI guardrails in partnership with Security and Compliance., • Translate approved internal use cases into clear technical specifications and hand off to engineering teams with full architectural context., • Define enterprise AI data layer and integration architecture across core systems (Salesforce, ServiceNow, Gainsight, Workday)., • Integrate with ServiceNow AI Control Tower to track all AI use cases, agents, and realized business value., • Implement human-in-the-loop, explainability, and auditability frameworks for all decision-impacting AI systems., • Partner with Finance to define and measure AI-driven ROI, ensuring alignment with enterprise value targets., • Provide technical direction, coaching, and mentorship to engineers across the AI Governance & Enablement and AI Operations & Insights teams., • Serve as the primary technical escalation point for complex internal AI delivery challenges and architecture decisions., • Partner with Technical/Engineering teams (dotted-line) on agent architecture, build quality, and delivery timelines., • Help define the technical bar for AI team hiring and contribute to onboarding and skills development programs., • Oversee the technical deployment and operationalization of AI agents and solutions, ensuring production readiness and stability for Anaplan employees., • Drive Gemini Enterprise adoption and lead AI Friday sessions with genuine technical depth., • Build andmaintainengineering dashboards tracking internal AI system performance, adoption rates, and ROI metrics., • Research and prototype emerging AI/ML techniques, large language models, agent frameworks, and enterprise tooling toidentifyinternal productivity and cost-saving opportunities., • Design and lead proof-of-concept pilots thatvalidatenovel internal use cases beforecommitting tofull engineering investment., • Build andmaintainthe AI innovation pipeline - a living backlog of high-potential experiments., • Work hand in hand with the Transformation & Financial Flexibility team toidentifyand technicallyvalidateAI-driven cost-saving opportunities in Anaplan's internal operations., • Act as technical advisor and AI subject matter expert to business unitsidentifyinginternal AI use cases., • Support the 3-in-a-box COE co-leadership (IT, Finance, GTM) with technical analysis, architecture reviews, and feasibility assessments., • 7+ years of software or AI/ML engineering experience, with at least 3 years in a technical lead, staff engineer, or principal-level role - ideally with exposure to enterprise IT or internal tooling environments., • Deep hands-onexpertiseacross the AI/ML stack: LLMs, retrieval-augmented generation (RAG), agent frameworks, orMLOpspipelines - with experience in enterprise or workforce deployment contexts., • Proven experience architecting and deploying enterprise-scale internal AI systems from design through production, including reliability, observability, and performance engineering., • Proficiencyin Python and enterprise cloud AI platforms (GCP Vertex AI, Azure AI, or AWS SageMaker) and AI orchestration tooling., • Hands-on experience with Google Workspace AI and Gemini Enterprise, or equivalent enterprise AI platforms (e.g., Microsoft Copilot, OpenAI Enterprise)., • Demonstrated ability toprovidetechnical leadership, mentorship, and architectural guidance to engineering teams without formal management authority., • Ability to manage competing priorities, dependencies, and delivery timelines across multiple workstreams., • Strong business acumen and communication skills - able to translate complex enterprise AI/ML concepts into business value narratives for C-level audiences., • Experience with AI governance frameworks, responsible AI principles, or enterprise AI policy and risk management for internal deployments., • Familiarity with ServiceNow or similar ITSM platforms and integration patterns., • Background in enterprise change management, internal AI enablement, or large-scale digital transformation programs., • Experience working with cross-functional finance or business transformation teams on AI-driven cost optimization., • Prior experience in an internal IT or enterprise technology function at a high-growth SaaS company. We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper - this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation. Fraud Recruitment Disclaimer It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals. Anaplan does not: • Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.

About the role We are looking for a senior platform engineer to drive the core platform, infrastructure, and developer tooling behind our products. This role is both hands-on and strategic: you will design and implement core systems, define the platform roadmap, and work across engineering teams to ensure we have a secure, reliable, and scalable foundation. You’ll report directly to the CTO and be trusted to identify problems, set direction, and execute solutions without day-to-day oversight. You’ll partner with engineering managers across PHP, Python, and mobile/web platforms, but you will be responsible for the architectural vision and execution across the company. Responsibilities • Design and implement complex and critical backend systems such as payment processing and authentication systems in the core Wag backend application, • Design cross-platform and cross-team system architecture, • Design and implement efficient build and deployment pipelines, containerization (Docker, Gitlab CI/CD), and developer tooling to improve productivity, • Incorporate AI powered solutions to support platform quality and developer productivity, • Define and maintain the platform roadmap, balancing reliability, developer productivity, technical debt, and cost, • Contribute infrastructure as code using Terraform, • Design and drive incident response procedures including observability and on-call tooling, • Serve as a trusted technical owner for key backend systems, • Mentor engineers on infrastructure and platform best practices, • Ensure Security & Compliance in platform design in partnership with Security Manager, • Own the data engineering and analytics platform design, • Participate in on-call incident response for key systems KPIs: • Code and App Quality: Bug regression rate, app quality, platform performance, • System Reliability: Uptime and MTTR, • Velocity Enablers: CI/CD speed, developer productivity metrics, • Technical Hygiene: Reduction in systemic debt, roadmap progress on platform initiatives, • Cross-team Alignment: % projects conforming to standards Qualifications • Willingness to roll up your sleeves and move from planning to execution with a small team, • Significant backend software development experience, • Familiarity with PHP and Python, • Strong experience with containerization (Docker) and CI/CD pipeline design, • Expertise designing and maintaining cloud infrastructure; ideally in AWS, • Proficiency with Terraform (or equivalent IaC tools) for managing infrastructure, • Strong experience with containerization (Docker) and CI/CD pipeline design, • Proven ability to design complex and reliable systems with minimal oversight, • Experience driving cross-team initiatives and influencing technical direction, • Solid understanding of reliability engineering, monitoring, and incident management, • Excellent communication skills and ability to work with multiple engineering teams About Wag! Group Co. Wag! Group Co. strives to be the number one platform to solve the service, product, and wellness needs of the modern U.S. pet household. Wag! pioneered on-demand dog walking in 2015 with the Wag! app, which offers access to 5-star dog walking, sitting, and one-on-one training from a community of over 500,000 Pet Caregivers nationwide. In addition, Wag! Group Co. operates Petted, one of the nation’s largest pet insurance comparison marketplaces; Dog Food Advisor, one of the most visited and trusted pet food review platforms; WoofWoofTV, a multi-media company bringing delightful pet content to over 18 million followers across social media; and maxbone, a digital platform for modern pet essentials. For more information, visit ___.

Location: Remote - +/- 3 hours from CET (EST / Europe preferred) Remote | Full-time Compensation: $90K - $150K We are hiring on behalf of our client in the high-growth Web3 and DeFi sector who is seeking a Senior Backend Engineer to join its core Platform team. This organization builds and evolves the distributed backend systems that power its primary products and customer-facing solutions. The successful candidate will design and operate complex systems, manage Web3 infrastructure, and collaborate closely with product and platform engineers to deliver reliable, scalable solutions. This role is ideal for an engineer who values strong ownership, thoughtful system design, and maintains a high bar for code quality. The client fosters an environment that prioritizes building solid systems and moving quickly without compromising standards, leveraging modern tools—including AI—to maximize efficiency. Key Responsibilities: • System Architecture: Design, build, and maintain scalable distributed backend systems powering core platform and product capabilities., • End-to-End Ownership: Manage backend services throughout their entire lifecycle, from initial architecture and implementation to monitoring and long-term reliability., • Product Collaboration: Partner with product and engineering peers to actively shape product decisions and strategy rather than merely executing technical specifications., • Web3 Integration: Build and evolve platform backend components, including protocol integrations, support for emerging blockchain networks, and reliable interactions with smart contracts., • Engineering Standards: Ensure high standards of code quality, performance, security, and observability across all services., • Operational Excellence: Operate effectively in a fast-paced startup environment, balancing development velocity with technical correctness., • Innovation: Leverage AI-assisted tools to improve development velocity and personal productivity while contributing to technical discussions, reviews, and mentorship within the team., • Experience: 5+ years of professional experience designing and building distributed backend systems., • Technical Foundations: A strong foundation in algorithms, data structures, and software design patterns., • Core Stack: Professional experience with Python 3., • Infrastructure & Data: Proven experience with containerized systems (Docker & Kubernetes), databases (Postgres/SQL, MongoDB, or Cassandra), and cloud environments (AWS)., • Monitoring: Experience with observability tools such as Sentry, Prometheus, and Grafana., • Soft Skills: Clear, proactive communication skills suited for a distributed, async-first team and a strong ownership mindset., • Web3 Knowledge: Hands-on experience with blockchain systems, dApps, or smart contracts is highly preferred., • Bonus Qualifications: Knowledge of Golang, prior experience in a high-autonomy startup environment, and location within time zones close to Europe (CET/EET)., • Competitive Compensation: A market-leading salary and stock options, allowing team members to contribute to and share in the organization’s long-term success., • Health & Wellness: Comprehensive medical insurance and a flexible work schedule., • Remote Work Support: Full support for remote work, including necessary software, equipment, and coworking memberships., • Time Off: An unlimited days-off policy to ensure a healthy work-life balance and time to recharge., • Growth & Travel: Opportunities for relocation support and travel to industry festivals and global events., • Collaborative Culture: A fully distributed, remote team environment composed of driven and intelligent individuals in the crypto and technology space. Interview Process The following stages outline the standard evaluation process for this position: • Initial Talent Screening: A conversation with the recruitment team to assess general alignment, communication skills, and Web3 interest., • Hiring Manager Interview: An in-depth discussion focused on seniority, technical judgment, problem-solving under ambiguity, and alignment with a fast-paced startup mindset., • Technical Assessment: A 60-minute technical interview focusing on core engineering competencies., • Systems Design: A 90-minute deep dive into architectural thinking and distributed systems design., • Team Panel: A group interview with potential peers to assess cultural fit and collaborative approach., • Executive Discussion: A final conversation with the Founders/CEO. Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing . MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting .

Job Description Job Summary A Development, Security, and Operations (DevSecOps) Engineer is needed to integrate security practices into the software development lifecycle (SDLC). The role focuses on embedding security into development processes, automating security checks, and ensuring applications and infrastructure are secure. Responsibilities include collaborating with development and operations teams, conducting security assessments, managing CI/CD security practices, and promoting a culture of security awareness across the organization. Requirements • Bachelor's degree in Computer Science, Information Security, or a related field (or equivalent experience), • Proven experience in DevOps, cybersecurity, or a related role, • Proficiency in programming languages such as Python, Java, or Ruby, and scripting for automation, • Familiarity with CI/CD tools, container orchestration, and Infrastructure as Code (IaC), • Strong understanding of security principles, threat modeling, risk management, encryption, and vulnerability assessment, • Knowledge of cloud security practices, including experience with cloud platforms such as AWS or Azure, • Understanding of network architectures, protocols, and secure system design, • Awareness of regulatory and compliance standards such as GDPR, HIPAA, and SOC 2, • Ability to identify and remediate security vulnerabilities and risks, • Strong communication and collaboration skills, • Commitment to staying updated on security trends and emerging threats, • Implement and maintain security tools and practices within CI/CD pipelines, • Conduct security assessments and vulnerability testing, • Collaborate with developers to ensure secure coding practices, • Automate security scans, code verification, and related processes, • Monitor and respond to security incidents, • Ensure cloud infrastructure is securely configured and compliant, • Stay informed on emerging threats and recommend security improvements, • Provide support for regulatory and compliance activities, • Create and manage helpdesk support tickets, • Share best practices to improve cybersecurity posture, • Recommend security enhancements and improvements, • Perform additional assigned dutiesPhysical Requirements, • Continuous sitting and computer use, • Frequent communication (speaking and listening), • Occasional standing, walking, and lifting up to 10 pounds, • Visual abilities including close vision, distance vision, and focus adjustmentSafety Requirements, • Report safety hazards, incidents, and damages, • Follow all safety policies and procedures, • Use personal protective equipment (PPE) when required, • Participate in safety training and meetings, • Maintain awareness of personal and team safety

Job DescriptionCareer Renew is recruiting for one of its clients a Staff Software Engineer - Backend & AI Infra - Trading - this is a fully remote role for US/UK based candidates. We are building the Hyperliquid Agent Runtime. We’re hiring a Staff Software Engineer to own two critical workstreams: the agent runtime and backend infrastructure that powers every trade in our fleet, and the migration of model hosting and agent deployment in-house — moving us off third-party LLM providers and hosted agent platforms to Senpi-owned infrastructure. This is a building role. You’ll write the backend services, runtime engine, and deployment systems that our entire agent fleet runs on. When you ship, every agent in the fleet immediately gets faster, more reliable, and more autonomous. What You’ll Build Agent Runtime & Backend (~50%) The runtime is the engine that makes every agent work. You’ll own the core systems: * Plugin Runtime — the per-agent process that runs position tracking (10s polling), the RatchetStop exit engine (tiered trailing stops with sub-second evaluation), and DSL state management. Currently Go + Python; migrating to a centralized Go service with Postgres state and real-time websocket price feeds * Scanner Gateway / Rules Engine — a YAML-configurable evaluation layer that sits between scanners and execution. Scanners produce raw signal variables; the rules engine applies gates, scoring, and filters defined in YAML. Users customize trading behavior without touching Python. This is the next major runtime feature * RatchetStop Backend — centralized profit-trailing service that protects positions even when the agent is offline. Evaluates tier upgrades and places stop-loss orders on Hyperliquid via websocket, replacing per-agent polling with condition-based evaluation across all positions * Execution Layer — the MCP (Model Context Protocol) server that bridges agents to 48+ Senpi platform tools: position creation, clearinghouse state, market data, Smart Money intelligence. You’ll own auth, rate limiting, and the contract between agents and the exchange * Data Layer — enriched Hyperfeed pipeline (top 1K trader positions, momentum events, market concentration) flowing through Redis, Postgres, and ClickHouse. Real-time ingestion, 4-hour rolling windows, and the APIs that every scanner calls Model & Agent Hosting Migration (~30%) We’re moving off third-party hosted agents and external LLM inference to Senpi-owned infrastructure. You’ll lead the technical execution: * Agent deployment platform — migrate agents from Railway/OpenClaw to Senpi-hosted infrastructure. Each agent needs isolated workspace, cron scheduling, state persistence, MCP connectivity, and Telegram notifications. Target: deploy any skill from a GitHub repo with one command * Model hosting — evaluate and implement the path from external LLM APIs (Anthropic, Google) to self-hosted inference. Options range from proxied external models with full telemetry capture, to fine-tuned models running on Senpi GPUs. You’ll own the decision and execution * Agent telemetry — capture every scanner evaluation, every trade decision, every signal score across all agents. This data feeds the self-reinforcing loop: agents learn from fleet-wide performance, fork winning strategies, and improve autonomously * Deployment pipeline — CI/CD for shipping scanner updates, runtime patches, and skill configs to 50+ live agents without interrupting open positions. Zero-downtime rollouts where downtime = unprotected capital Infrastructure & Operations (~20%) * Build monitoring and alerting that catches agent failures, orphaned positions, state corruption, and auth expiration before they cost money * Manage cloud infrastructure (AWS/EKS) with infrastructure-as-code * Own incident response — in a trading system, every minute of downtime is real dollars at risk * Health monitoring for the agent fleet: which agents are scanning, which are stuck, which have the midnight rollover bug What We’re Looking For Must Have * Strong backend engineering — you write production code daily in at least two of: Go, Python, Node.js/TypeScript. Go preferred for the runtime services * Experience building backend services from scratch at a startup: APIs, job scheduling, state management, distributed systems * Solid understanding of real-time systems where latency matters: websocket connections, condition-based evaluation, sub-second response requirements * Production experience with Postgres, Redis, and at least one analytics DB (ClickHouse, TimescaleDB, BigQuery) * Kubernetes experience — deploying, scaling, and debugging production workloads on AWS EKS * You’ve owned a system end-to-end: designed it, built it, deployed it, operated it, fixed it at 3am Strong Plus * Experience with model serving / LLM infrastructure — deploying, scaling, and optimizing inference (vLLM, TGI, TensorRT-LLM, or managed endpoints) * Background in trading systems, exchange APIs, or fintech where uptime has direct financial consequences * Experience with onchain infrastructure: wallet operations, RPC nodes, transaction monitoring, DEX integration * Familiarity with MCP (Model Context Protocol) or similar agent-to-tool connectivity patterns * Experience building multi-agent platforms — orchestrating many independent processes sharing infrastructure but operating autonomously * Experience with CI/CD for systems where “deploy” means updating live trading agents, not just web servers What This Role Is Not This is not a pure DevOps role. You’ll spend 80% of your time writing Go, Python, and TypeScript that ships to production. The infrastructure you manage is the infrastructure you built — because at our stage the best person to operate a system is the person who designed it. You’re building the backend for autonomous AI agents that manage real money in real time. The runtime you build determines whether positions are protected. The model hosting you stand up determines whether agents can think. The deployment pipeline you create determines whether the fleet can evolve. This is foundational infrastructure for a new category of software.

Job DescriptionCareer Renew is recruiting for one of its clients a Senior Site Reliability Engineer (Azure) - this is a fully remote role for US or Europe based candidates (as long as they can work EST hours) We are a fast-growing software company supporting and developing Hedera, an open-source, proof-of-stake, EVM-compatible public ledger built for enterprise and Web3 use cases. Hedera is governed by a global council of industry-leading organizations across multiple sectors and regions, ensuring long-term stability, decentralization, and sustainability. About the Role We are hiring a Senior Site Reliability Engineer to join the HashSphere engineering team. HashSphere is a greenfield, enterprise-focused distributed ledger platform built on Hiero, designed for private and consortium deployments with a strong emphasis on security, privacy, and scalability. This role is hands-on and high impact. You will own the design, deployment, and reliability of mission-critical, multi-region infrastructure used by large organizations across financial services, supply chain, and healthcare. You will partner closely with product, security, and platform leadership to shape architecture, reliability strategy, and operational standards from the ground up. This is not a support role. We are looking for someone who has operated real systems at scale, measured outcomes, and taken end-to-end ownership. What You’ll Do * Design, build, and operate highly available, multi-region distributed systems with clear recovery strategies and tested RTO/RPO. * Partner with the Head of SRE to define the reliability roadmap, platform architecture, and operational standards. * Own large-scale Infrastructure as Code using Terraform, including reusable modules, multi-account patterns, and policy guardrails. * Operate and scale Kubernetes environments (EKS, GKE, or AKS) using GitOps practices (ArgoCD), Helm, and strong RBAC and network policies. * Build and maintain secure CI/CD pipelines, including blue/green and canary deployments, promotion and rollback strategies, and artifact integrity (SBOM, signing). * Define and improve SRE practices, including SLOs, error budgets, observability, and measurable reductions in MTTR/MTTA. * Work closely with product and engineering teams to translate customer and business requirements into reliable, secure platform services. * Contribute to the operational support and continuous improvement of customer-facing HashSphere deployments. WHAT YOU BRING Core Capabilities * Proven experience designing and building production-grade systems on Azure * Ability to take ambiguous requirements to structured technical solutions to delivered systems * Strong technical communication skills across engineering and non-technical stakeholders * High ownership mindset with a bias for action and accountability * Collaborative approach with a focus on building durable, scalable solutions Functional Expertise * Azure cloud services (networking, compute, identity, security, storage) * Terraform (infrastructure as code at production scale) * Programming experience in Go and/or Python * Experience building greenfield infrastructure environments * Distributed systems, high-availability architectures, or platform engineering * CI/CD and automation tooling for infrastructure lifecycle management Nice to Have * Kubernetes and container orchestration * Observability tooling (Prometheus, Grafana) * Workflow/orchestration platforms (Argo, Spacelift, or similar) Compensation & Package Equity & Tokens Performance Bonuses Health insurance & 401k for US employees only.

Job DescriptionCloud Systems Architect Employment Type: Full-Time, Mid-levelDepartment: Information Technology We are seeking a Cloud Systems Architect with experience with cloud infrastructure to engineer and support public, private and hybrid clouds. The ideal candidate will be proficient in a variety of cloud hosts including Amazon Web Services and Microsoft Azure at a minimum. CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success:- The candidate will be knowledgeable of the most recent updates and developments and act as an advisor to our customer in reference to the cloud management strategies to be employed to take advantage of the benefits offered by cloud computing such as being able to function without any restrictions to the workload, initiate as many workstations as necessary per time period and pay only for what they actually use. - The candidate will also work with the IT Security team to manage and maintain cloud systems security of the data and network resources. - The candidate will also be responsible for engineering on customer premise applications and systems interconnected to cloud resources. - Designs and defines system architecture for new or existing complex computer systems. - Determines systems specifications, input/output processes, and working parameters for hardware/software compatibility and maintenance of system security. - Coordinates design of subsystems and integration of total system. Identifies, analyzes, and resolves program support deficiencies. - Develops and recommends corrective actions. - May provide technical guidance for database administrators and software developers. Qualifications:- Experience with and a complete understanding of the technology required for cloud computing.- Experience with the skills to migrate applications to the cloud.- Be able to build relationships between the customers and the team members.- The ability and the knowledge to integrate services and tools to any and all areas to be used such as networks and data processing.- The ability and the knowledge to implement security information and event management to keep the customer's assets safe.- Experience with meeting or exceeding the requirements of cloud provider service-level agreements Experience with AWS and Azure.- Knowledge of a multitude of programming languages including Python, PHP, Java, Node and Ruby on Rails.- Typically a Bachelor's Degree and 6 years work experience or equivalent experience. Our Commitment:Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we’ve been growing our government-contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work.Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package.- Health, Dental, and Vision- Life Insurance- 401k- Flexible Spending Account (Health, Dependent Care, and Commuter)- Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: For more information about CGS please visit: or contact:Email: #CJ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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 Overview The Senior Systems Engineer is responsible for designing, maintaining, and scaling the organization’s core IT infrastructure. This position oversees the architecture and performance of servers, networking, virtualization, and security platforms across all company locations, serving as the primary escalation point for complex infrastructure and network issues. The role partners with IT support staff and software developers to ensure systems remain reliable, secure, and high-performing. Operating within a regulated environment, the Senior Systems Engineer ensures infrastructure aligns with standards such as HIPAA and 21 CFR Part 11. In addition to maintaining current systems, the position plays a critical role in shaping long-term infrastructure strategy, automation initiatives, and technology modernization. All duties are carried out in accordance with the company policies, SOPs, and Good Clinical Practice (GCP) as well as all applicable local, State, and Federal regulations. Responsibilities • Architect, implement, and maintain the organization’s enterprise IT infrastructure, including compute, storage, networking, and security layers., • Design and manage server environments using Microsoft Windows Server and enterprise directory services., • Lead the architecture and management of virtualization environments using platforms such as VMware vSphere or Microsoft Hyper-V., • Design and maintain scalable and secure network architecture, including routing, switching, and VLAN segmentation., • Configure and manage enterprise firewalls, VPN gateways, and network security policies., • Analyze network traffic and system performance using tools such as Wireshark and enterprise monitoring platforms like PRTG Network Monitor., • Lead troubleshooting and root-cause analysis for complex infrastructure and networking issues., • Manage and optimize directory services, identity infrastructure, DNS, and group policy architecture., • Design secure remote access infrastructure and site-to-site connectivity across multiple locations., • Implement and manage enterprise backup and disaster recovery strategies using solutions such as Veeam Backup & Replication., • Lead infrastructure capacity planning and performance optimization initiatives., • Establish patch management and vulnerability remediation strategies across infrastructure systems., • Develop and maintain infrastructure documentation, including network diagrams, architecture standards, and operational procedures., • Implement proactive monitoring, logging, and alerting systems to maintain infrastructure reliability., • Design redundancy, failover, and business continuity strategies for critical systems., • Evaluate emerging infrastructure technologies and lead modernization initiatives., • Collaborate with software developers to ensure applications are optimized for infrastructure performance and security., • Serve as the final escalation point for advanced infrastructure and network incidents., • Manage relationships with technology vendors, internet providers, and infrastructure partners., • Extensive experience in systems engineering with a strong foundation in computer science principles and IT infrastructure management., • Hands-on expertise with cloud platforms including AWS familiarity with cloud security best practices is essential., • Strong understanding of computer networking concepts including VPNs, firewalls, DNS/DHCP management, load balancing strategies, and network security protocols., • Skilled in programming languages such as Python, JavaScript, experienced with scripting for automation purposes., • Certifications related to systems engineering or cloud computing (e.g., AWS Certified Solutions Architect) are preferred but not mandatory. Join us in shaping the future of enterprise technology by delivering innovative solutions that empower organizations to operate securely and efficiently at scale, • Experience architecting enterprise IT environments in high-availability or regulated industries., • Strong expertise in enterprise networking hardware from companies such as Cisco Systems, Fortinet, or similar vendors. (CCNP or CCIE preferred.), • Experience designing hybrid cloud infrastructure using platforms such as Amazon Web Services or Microsoft Azure. (AWS Solutions Architect or Azure Solutions Architect preferred.), • VMware VCAP or other advanced VMware certifications., • Advanced scripting and automation experience using tools such as PowerShell., • Experience designing monitoring, observability, and infrastructure telemetry systems., • Strong understanding of security architecture, network segmentation, and infrastructure hardening., • Strong problem-solving, organizational, and analytical skills., • Excellent written and verbal communication skills., • High attention to detail and organization., • Physical requirements include the ability to operate office equipment, sit for long periods throughout the day, and the ability to work in a fast-paced environment., • The employee may occasionally lift and/or move up to 50 pounds., • Bachelor’s degree in Information Technology, Computer Science, Engineering, or related field., • 8–12 years of progressive experience in infrastructure engineering, systems architecture, or network engineering., • Advanced experience managing enterprise server and virtualization environments., • Deep knowledge of network protocols, routing, switching, DNS, DHCP, and VPN technologies., • Hands-on experience configuring routers, switches, and firewalls in enterprise environments., • Experience implementing disaster recovery and business continuity systems. Company DescriptionWorking with us will offer an exciting opportunity to be at the forefront of innovation and discovery. You'll be surrounded by a team of forward-thinking professionals who are passionate about pushing boundaries and solving complex challenges. Our company provides a stimulating environment where curiosity is celebrated, and every idea has the potential to lead to groundbreaking advancements. With access to cutting-edge technology, and a culture that fosters collaboration and creativity, you'll have the chance to make a real-world impact while growing professionally. If you’re driven by a desire to explore new frontiers and contribute to meaningful progress, this is the place for you.Working with us will offer an exciting opportunity to be at the forefront of innovation and discovery. You'll be surrounded by a team of forward-thinking professionals who are passionate about pushing boundaries and solving complex challenges. Our company provides a stimulating environment where curiosity is celebrated, and every idea has the potential to lead to groundbreaking advancements. With access to cutting-edge technology, and a culture that fosters collaboration and creativity, you'll have the chance to make a real-world impact while growing professionally. If you’re driven by a desire to explore new frontiers and contribute to meaningful progress, this is the place for you.

Job Description What is the role? MerusCase offers a versatile, easy-to-use, cloud-based practice management solution for law firms. We are looking for a Software Engineer to join our MerusCase team. We are looking for PHP engineers who are interested in modernizing our tech stack to the latest serverless backend technologies along with React UI components. In this role, you will: • Develop new software product features and enhancements using SOLID design principles, • Produce clean, efficient, and maintainable code based on specifications, • Collaborate and partner with cross-functional teams such as Product Management and Customer Success to understand their needs and to come up with the best outcome, • Troubleshoot systems and customer issues and help in resolving those by identifying short-term and long-term solutions, • Increase the coverage of unit testing and automate the manual tasks whenever possible, • Actively participate in code reviews and create technical documentation, • Champion and demonstrate the best practices in day-to-day activities, • Lead various technical projects to elevate current products to the next level to handle the upcoming growth, • Support and develop software engineers by providing advice, coaching, and educational opportunities, • 3+ years' experience developing SaaS and/or eCommerce web applications, • BS in Computer Science or equivalent, • Proficiency with modern multi-paradigm languages; knowledge of PHP (preferred), Ruby, Java, Python, etc., • Demonstrable experience with ES6 and Typescript, • Knowledge of modern browser-based UI development with frameworks such as React and/or Angular, • Experience of any cloud environment (AWS preferred), • Experience in a relational database management system (MySQL preferred) and data modeling, • Self-motivated and passionate about learning, • Solid written and verbal communication skills, • Growth mindset, desire to learn and adopt new technologies, • Excellent analytical and problem-solving skills, • Competitive salary, • Paid vacation + sick and parental leave, • Remote working flexibility, • Company culture that encourages work / life balance, • 100% paid PPO medical, dental, and vision insurance, 401k matching, equity grants

Job DescriptionFSR Engineer Employment Type: Full-Time, Mid-Level Department: Administrative and Logistics Support As a Field Service Representative (FSR) Engineer, you will be embedded with customers to deploy and operate a production-grade data and application platform used in mission-critical environments. You’ll work at the intersection of software engineering, data integration, and real-world operations—turning complex, fragmented data into reliable, live systems that support critical decision-making. CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success:- Deploy, configure, and maintain a distributed data and application platform in production. - Integrate data from disparate source systems while preserving lineage and governance. - Build and customize operational applications, workflows, and analytics. - Design and maintain data pipelines supporting real-time and batch use cases. - Troubleshoot high-impact issues in live operational environments. - Work directly with users to understand workflows and translate needs into technical solutions. - Partner with internal product and engineering teams to improve platform capabilities. Qualifications:- Strong software engineering fundamentals. - Experience with Python, Pyspark, Java, JavaScript, SQL, or similar languages. - Familiarity with data systems, APIs, and distributed architectures. - Ability to operate independently in customer-facing, on-site environments. - Strong problem-solving skills in ambiguous, real-world settings. - Clear communication with both technical and non-technical stakeholders. - Active TS/SCI Clearance or eligibility- Strong engineering background, preferably in fields such as Computer Science, Mathematics, Software Engineering, Physics, or Data Science Our Commitment:Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems. For the past nine years, we’ve been growing our government-contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package.- Health, Dental, and Vision- Life Insurance- 401k- Flexible Spending Account (Health, Dependent Care, and Commuter)- Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: more information about CGS please visit: or contact:Email: We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.

The Lead Software Engineer will participate in the full life-cycle of software development, from design, implementation, testing, and release while also leading and driving development within the team. Have an interest in bringing knowledge to software development!. As the Team Lead, you'll be respo

Seniority (No of Years of Experience).Python Proficiency: Demonstrate expertise in Python programming to develop efficient and scalable solutions for data integration and automation.Tableau Dashboard Development: Design and build visually appealing and interactive dashboards in Tableau to present co

About the Organization Hello and thank you for considering a career with Bomnin Automotive! We are a family-owned and operated business that has been delivering excellence in the automotive industry since 2010. Our team is passionate about creating a diverse environment where all of our associates are supported and can build rewarding careers. At Bomnin Automotive, we take pride in offering our associates extensive benefits and a culture that is geared towards providing them with vast growth opportunities. We believe in doing what's right for our associates, which is why we offer medical benefits with employer-paid contribution, dental, gap, vision, disability, cancer insurance, life insurance, and a retirement plan 401(k) with an employer match. We also offer PTO, paid holidays, and a flexible schedule to ensure that our associates have a healthy work-life balance. In addition to our commitment to our associates, we are also passionate about giving back to our community. Our mission is not just about selling cars, but in providing hope, love, and strength to our community. Throughout the years we have supported causes in search for a cure to pediatric cancer; we have partnered with local non-profits that serve the under-privileged; and donated time and resources to schools, charitable organizations, and causes that are relevant and important to each of the community's we represent. We are proud of our team and the work that we do, and we hope that you will consider joining us in our mission to deliver excellence in the automotive industry and make a positive impact on the community. EOE Statement We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law. Description Job description Company Description Dealer Automation Technologies is a leading Information Technology Services company that provides Software as a Service (SaaS) solutions for the automotive industry. The company specializes in Process Automation, Advanced Analytics, and Augmented Intelligence to redefine dealership operations. With a focus on intuitive user experiences and cutting-edge technologies, Dealer Automation Technologies is paving the way for innovation in the sector. Combining the agility of a startup with the expertise and business acumen of seasoned leaders, the company operates without dependence on legacy systems, fostering a dynamic and innovative work culture. Role Description This is a full-time, on-site role located in Miami, FL, for a Senior AI/ML Engineer specializing in Large Language Models (LLMs) to join our team. You will play a key role in designing and implementing workflows that leverage large language models (LLMs, LAMs, LMMs, LVLMs, etc.) to automate processes and drive innovation in our products. The ideal candidate will have a deep understanding of NLP, experience with foundational models, and a flexible, problem-solving mindset. You will collaborate closely with cross-functional teams, contributing to the development of scalable AI driven solutions. Other primary responsibilities include designing and implementing machine learning models, particularly in natural language processing and large language models, building scalable algorithms, conducting research on neural networks, and evaluating model performance. Additionally, the engineer will collaborate with cross-functional teams to ensure seamless integration of AI/ML components into the company's software offerings. Major Areas of Responsibility • Design, Implement, and optimize workflows that incorporate large language models to automate and enhance product features., • Leverage existing foundational models and adapt them to fit into various product requirements, ensuring alignment with business goals., • Collaborate with product managers, data scientist, and software engineers to integrate LLM-based automation into scalable solutions., • Create and architect interpreters, Agented Systems, and integrate multi-hop RAG and other LLM experiences into existing systems to coordinate knowledge responses., • Research and evaluate new technologies and methodologies in the LLM space to continuously improve product automation., • Work on the customization and fine-tunning of models to optimize performance for specific use cases., • Develop, test, and deploy LLM-based services in production environments., • Provide AI/ML technical leadership and mentorship to other engineers on the team., • Ensure that LLM integrations are efficient, scalable, and secure, adhering to industry best practices. Position Requirements Qualifications • 5+ years of experience in machine learning, NLP, or related domain, with focus on large language models., • Proven experience working with foundational models in production environments., • Strong programming skills in Python with experience in relevant AI/ML libraries., • Knowledgeable in Statistics, Machine Learning concepts, and their real-world applications, • Proven experience working with developing and optimizing large-scale AI/ML projects, • Excellent problem-solving, teamwork, and communication skills, • Ability to design and implement scalable machine learning models in production-ready environments, • A graduate degree (Master's or PhD preferred) in Computer Science, Data Science, or a related field, • Experience in the automotive or process automation industries is a plus Industry Full-Time/Part-Time Full-Time Location Dealer Automation Technologies This position is currently accepting applications.

Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Seramount, Fair360 and others. If you're as passionate about your future as we are, join our team. KPMG is currently seeking an Associate Director, AI Application Engineer to join our Digital Nexus Technology organization. This is a hybrid work opportunity. Responsibilities: • Lead a team of engineers tasked with design, development, and deployment of AI-enabled applications using .NET Core, C#, Python, and modern frameworks, • Define the technical vision and roadmaps, and actively engage with technology initiatives;integrate solutions with Azure, Google Cloud, and enterprise systems, • Manage the Development of Agents to interact with APIs, and other applications using techniques such as A2A and MCP, as well as ensure robust integration; collaborate work with architects to create solution designs and technical documentation, • Define standards and enforce code quality through reviews, automated testing, and adherence to Software Development Life Cycle (SDLC); drive DevOps and MLOps best practices, • Research emerging technologies, as well as recommend best-fit solutions and solution architectures; present solutions to both technical and non-technical stakeholders, • Lead troubleshooting of operational issues and performance optimization, • Minimum eight years of overall technology experience, including at least five years leading engineering teams and over two years of recent experience in bringing in AI platforms/Solutions to solve business problems and make a business impact, with practical experience in Python, Azure AI, Google AI services or similar capabilities on other cloud platforms, • Bachelor's degree from an accredited college or university is preferred; minimum of a high school diploma or GED required, • Prior Full-stack development experience with HTML, CSS, JavaScript, React.js, Node.js, C# and TypeScript, • Strong experience in Azure AI stack, AKS, API development, and DevOps practices, • Proficiency in scripting (Python, PowerShell, BASH, YAML) and automation testing

Senior Software Engineer (Python / Agentic AI). A rare opportunity for a senior backend engineer to join an AI-first startup and architect the core systems powering cutting-edge machine-learning products. You’ll work with modern technologies while collaborating with a team of exceptional engineers

Job Description We're ALTEN Technology USA, an engineering company helping clients bring groundbreaking ideas to life—from advancing space exploration and life-saving medical devices to building autonomous electric vehicles. With 3,000+ experts across North America, we partner with leading companies in aerospace, medical devices, robotics, automotive, commercial vehicles, EVs, rail, and more. As part of the global ALTEN Group—57,000+ engineers in 30 countries—we deliver across the entire product development cycle, from consulting to full project outsourcing. When you join ALTEN Technology USA, you'll collaborate on some of the world's toughest engineering challenges, supported by mentorship, career growth opportunities, and comprehensive benefits. We take pride in fostering a culture where employees feel valued, supported, and inspired to grow. Fleet Support Engineer Vehicle Development We are seeking an experienced Fleet Support Engineer to ensure the reliability, performance, and operational readiness of our vehicle fleet. This role sits at the intersection of hardware, software, and operations, requiring strong technical expertise in sensor systems and a hands-on approach to diagnosing and resolving field issues. The ideal candidate thrives in fast-paced environments, works effectively across teams, and takes ownership of complex technical challenges from investigation through resolution. What You'll Do • Act as the escalation lead for sensor and perception-related issues impacting fleet operations., • Analyze vehicle logs and system data to isolate faults, determine root causes, and drive corrective actions., • Create and continuously refine technical documentation and troubleshooting procedures for field technicians., • Support integration and validation of new sensor hardware, including LiDAR, radar, and camera systems., • Establish repeatable diagnostic workflows to improve efficiency in identifying calibration, communication, and data quality issues., • Review historical vehicle and fleet-level datasets to detect recurring problems and performance trends., • Partner with hardware, software, and systems engineering teams to strengthen monitoring tools and diagnostic visibility., • Implement fleet-wide corrective measures and verify their effectiveness through structured validation metrics., • Identify and define critical data signals needed to measure system health and confirm issue resolution., • Contribute to ongoing improvements in vehicle reliability and operational uptime., • Provide occasional after-hours support when necessary (advance notice provided)., • 6+ years of experience in transportation, aerospace, robotics, electric vehicles, or autonomous systems, with significant exposure to perception hardware., • Bachelor's degree in Electrical Engineering, Computer Engineering, or a related technical discipline., • Hands-on experience troubleshooting low- and high-voltage systems safely., • Familiarity with Unified Diagnostic Services (UDS) and vehicle communication frameworks., • Strong understanding of system architecture, including hardware/software integration and network communications., • Ability to interpret schematics, wiring diagrams, and connector pinouts., • Systems-level thinking with the capability to decompose complex vehicle behavior into component-level issues., • Proactive, collaborative mindset with strong cross-functional communication skills., • Experience supporting electric vehicle platforms., • Background in remote vehicle diagnostics and field support., • Proficiency with Linux environments and Python for log parsing or fleet-scale data analysis., • Experience developing or maintaining software that interfaces directly with hardware., • Knowledge of networking fundamentals, including TCP/IP and socket-level communication. The actual salary offered is dependent on various factors including, but not limited to, location, the candidate's combination of job-related knowledge, qualifications, skills, education, training, and experience ALTEN Technology is an Equal Opportunity Employer. Our Policy is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Please beware of job seeker scams and see this important notice on our careers page for more information about our recruiting process. Compliance Notice: Alten USA is a federal contractor subject to the requirements of the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and Executive Order 11246. We are an Equal Opportunity Employer and consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Drug Screening Requirement: As a federal contractor, Alten USA maintains a drug-free workplace. All candidates selected for employment will be required to successfully complete a pre-employment drug screening as a condition of hire.

A pragmatic approach to engineering; you value iteration, code quality, testing, and thoughtful system design. Fluency with AI tools and coding assistants; we need engineers who have integrated them into their workflows. Were looking for engineers who are product-minded and can think creatively to

Job Title: Specialist, Software Engineering - DSP. Work closely with an Agile team of experienced software engineers on projects that involve the development and analysis of innovative real-time signal processing solutions. Experience developing efficient software that directly controls digital and

Daily access to a broadband internet connection, computer, and relevant software.

Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more.

Write clean, efficient, and well-documented code, following best software engineering practices. Contribute to the full software development lifecycle, from concept and design to testing and deployment. Python, Rust, GoLang, Java, Node.

Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more.

Write clean, efficient, and well-documented code, following best software engineering practices. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Join our customer's team as a Software Developer, where innovation

Software Development, Computer Science, or other related fields.

Senior Full Stack Software Engineer / Architect. Demonstrated experience mentoring engineers and contributing to engineering culture and growth. You’ll collaborate closely with cross-functional teams to design scalable solutions, guide engineering execution, and ensure best practices across the st

Software Development, Computer Science, or other related fields. Working across multiple programming languages (Python, JavaScript/TypeScript, Rust, SQL, etc. Collaborating with project leads, solution engineers, and supply managers on complex or experimental projects.

VHA supports and provides medical care for VA’s eligible beneficiaries through the VA health program, which includes VA Medical Centers (VAMCs) and contracted health care networks.The Office of Clinical Informatics within the Office of Health Informatics (OHI), Digital Health Office (DHO) advances

You’ll work closely with product managers, engineers, and stakeholders across the company to make thoughtful, scalable technology decisions that support our growing business. You’ll also contribute to raising engineering standards within your team and beyond. At Gopuff, our engineering team is r

Readiness to collaborate with engineering teams, product teams, and customers to develop prototypes and software products. Our team of technologists leverage modern, agile methods to design and develop equitable, accessible, and innovative data and software services that impact hundreds of milli

Software Development, Computer Science, or other related fields. Working across multiple programming languages (Python, JavaScript/TypeScript, Rust, SQL, etc. Collaborating with project leads, solution engineers, and supply managers on complex or experimental projects.

Whether you are a passionate orchestration guru or experienced software developer — we want you to. Proven ability to build and maintain production-grade software with modular separation (e. Python, JavaScript, Go, or Java) and experience working with SQL databases.

Whether you are a passionate orchestration guru or experienced software developer — we want you to. Proven ability to build and maintain production-grade software with modular separation (e. Python, JavaScript, Go, or Java) and experience working with SQL databases.