Cybersecurity Engineer III **
Requirements engineer job in San Diego, CA
SimVentions, consistently voted one Virginia's Best Places to Work, is looking for an experienced cybersecurity professional to join our team! As a Cybersecurity Engineer III, you will play a key role in advancing cybersecurity operations by performing in-depth system hardening, vulnerability assessment, and security compliance activities in accordance with DoD requirements. The ideal candidate will have a solid foundation in cybersecurity practices and proven experience supporting both Linux and Windows environments across DoD networks. You will work collaboratively with Blue Team, Red Team, and other Cybersecurity professionals on overall cyber readiness defense and system accreditation efforts.
** Position is contingent upon award of contract, anticipated in December of 2025. **
Clearance:
An ACTIVE Secret clearance (IT Level II Tier 5 / Special-Sensitive Position) is required for this position. Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. US Citizenship is required to obtain a clearance.
Requirements:
In-depth understanding of computer security, military system specifications, and DoD cybersecurity policies
Strong ability to communicate clearly and succinctly in written and oral presentations
Must possess one of the following DoD 8570.01-M IAT Level III baseline certifications:
CASP+ CE
CCNP Security
CISA
CISSP (Associate)
CISSP
GCED
GCIH
CCSP
Responsibilities:
Develop Assessment and Authorization (A&A) packages for various systems
Develop and maintain security documentation such as:
Authorization Boundary Diagram
System Hardware/Software/Information Flow
System Security Plan
Privacy Impact Assessment
e-Authentication
Implementation Plan
System Level Continuous Monitoring Plan
Ports, Protocols and Services Registration
Plan of Action and Milestones (POA&M)
Conduct annual FISMA assessments
Perform Continuous Monitoring of Authorized Systems
Generate and update test plans; conduct testing of the system components using the Assured Compliance Assessment Solution (ACAS) tool, implement Security Technical Implementation Guides (STIG), and conduct Information Assurance Vulnerability Management (IAVM) reviews
Perform automated ACAS scanning, STIG, SCAP checks (Evaluate STIG, Tenable Nessus, etc.) on various standalone and networked systems
Analyze cybersecurity test scan results and develop/assist with documenting open findings in the Plan of Action and Milestones (POA&M)
Analyze DISA Security Technical Implementation Guide test results and develop/assist with documenting open findings in the Plan of Action and Milestones
Preferred Skills and Experience:
A combined total of ten (10) years of full-time professional experience in all of the following functional areas:
Computer security, military system specifications, and DoD cybersecurity policies
National Cyber Range Complex (NCRC) Total Ship Computing Environment (TSCE) Program requirements and mission, ship install requirements, and protocols (preferred)
Risk Management Framework (RMF), and the implementation of Cybersecurity and IA boundary defense techniques and various IA-enabled appliances. Examples of these appliances and applications are Firewalls, Intrusion Detection System (IDS), Intrusion Prevention System (IPS), Switch/Routers, Cross Domain Solutions (CDS), EMASS and, Endpoint Security Solution (ESS)
Performing STIG implementation
Performing vulnerability assessments with the ACAS tool
Remediating vulnerability findings to include implementing vendor patches on both Linux and Windows Operating systems
Education: Bachelor of Science in Information Systems, Bachelor of Science in Information Technology, Bachelor of Science in Computer Science, Bachelor of Science in Computer Engineering Compensation:
Compensation at SimVentions is determined by a number of factors, including, but not limited to, the candidate's experience, education, training, security clearance, work location, skills, knowledge, and competencies, as well as alignment with our corporate compensation plan and contract specific requirements.
The projected annual compensation range for this position is $90,000 - $160,000 (USD). This estimate reflects the standard salary range for this position and is just one component of the total compensation package that SimVentions offers.
Benefits:
At SimVentions, we're committed to supporting the total well-being of our employees and their families. Our benefit offerings include comprehensive health and welfare plans to serve a variety of needs.
We offer:
Medical, dental, vision, and prescription drug coverage
Employee Stock Ownership Plan (ESOP)
Competitive 401(k) programs
Retirement and Financial Counselors
Health Savings and Health Reimbursement Accounts
Flexible Spending Accounts
Life insurance, short- & long-term disability
Continuing Education Assistance
Paid Time Off, Paid Holidays, Paid Leave (e.g., Maternity, Paternity, Jury Duty, Bereavement, Military)
Third Party Employee Assistance Program that offers emotional and lifestyle well-being services, to include free counseling
Supplemental Benefit Program
Why Work for SimVentions?:
SimVentions is about more than just being a place to work with other growth-orientated technically exceptional experts. It's also a fun place to work. Our family-friendly atmosphere encourages our employee-owners to imagine, create, explore, discover, and do great things together.
Support Our Warfighters
SimVentions is a proud supporter of the U.S. military, and we take pride in our ability to provide relevant, game-changing solutions to our armed men and women around the world.
Drive Customer Success
We deliver innovative products and solutions that go beyond the expected. This means you can expect to work with a team that will allow you to grow, have a voice, and make an impact.
Get Involved in Giving Back
We believe a well-rounded company starts with well-rounded employees, which is why we offer diverse service opportunities for our team throughout the year.
Build Innovative Technology
SimVentions takes pride in its innovative and cutting-edge technology, so you can be sure that whatever project you work on, you will be having a direct impact on our customer's success.
Work with Brilliant People
We don't just hire the smartest people; we seek experienced, creative individuals who are passionate about their work and thrive in our unique culture.
Create Meaningful Solutions
We are trusted partners with our customers and are provided challenging and meaningful requirements to help them solve.
Employees who join SimVentions will enjoy additional perks like:
Employee Ownership: Work with the best and help build YOUR company!
Family focus: Work for a team that recognizes the importance of family time.
Culture: Add to our culture of technical excellence and collaboration.
Dress code: Business casual, we like to be comfortable while we work.
Resources: Excellent facilities, tools, and training opportunities to grow in your field.
Open communication: Work in an environment where your voice matters.
Corporate Fellowship: Opportunities to participate in company sports teams and employee-led interest groups for personal and professional development.
Employee Appreciation: Multiple corporate events throughout the year, including Holiday Events, Company Picnic, Imagineering Day, and more.
Founding Partner of the FredNats Baseball team: Equitable distribution of tickets for every home game to be enjoyed by our employee-owners and their families from our private suite.
Food: We have a lot of food around here!
FTAC
MDM Engineer III
Requirements engineer job in Dublin, CA
W2 Contract-to-Hire
Salary Range: $156,000 - $176,800 per year
The MDM Engineer III is responsible for the development, integration, and implementation of configuration processes, procedures, and solutions within the Master Data Management (MDM) platform. The candidate will develop solutions on the MDM platform, participate in system/design/code reviews, address configuration and administration issues, as well as directly influence the direction of the Product domain on the MDM platform. The candidate will also collaborate with other technology partners to design and build quality, highly scalable solutions/applications, as well as interact with business teams as part of Agile development.
Duties and Responsibilities:
Design, develop, and test incoming and outgoing data feeds, data modeling, governance, and system administration as it pertains to MDM.
Responsible for providing technical consulting to management, business analysts, and technical associates, while working with the integration, architecture, and business teams to deliver MDM solutions.
Deliver high-quality solutions independently, while working collaboratively to share knowledge and ideas, and adapt quickly to the needs of the business.
Partner with Data Governance & Operations teams to deliver based on program/project needs.
Drive the architecture, design, and delivery of the end-state MDM solution in a hands-on manner, including modeling the MDM domains.
Establish monitoring and reporting capabilities for the MDM platform.
Engage with all levels across IT to deliver an Enterprise MDM Program solution (Product), including cross-functional coordination.
Help lead master data integration activities, which include, but are not limited to, data cleansing, data creation, data conversion, issue resolution, and data validation.
Identify, manage, and communicate issues, risks, and dependencies to project management.
Configuration of the MDM solution in a hands-on manner (Web UI, business rules, and workflow changes)
Provide support for the Master Data Management (MDM) platform, including technical architecture, inbound/outbound data integration (ETL, maintenance/tuning of match rules and exceptions, data model changes, executing and monitoring incremental updates, and working with infrastructure and DBA teams to maintain multiple environments).
Contribute to the design of logical and physical Data modeling to support the Enterprise Master Data Management system.
Establish & refine monitoring and reporting capabilities for the new MDM platform.
Provide level 3 support for the MDM platform as needed.
Manage Code configuration and code release management in Non-production environments.
Exceptional verbal communication and technical writing skills
Requirements and Qualifications:
8+ years of experience with Master Data Management solutions
5 - 8 years of experience working within the entire Software Development Lifecycle, including requirements gathering, design, implementation, integration testing, deployment, and post-production support
5 - 8+ years of experience in system design, implementation, and Level 3 support activities
Strong understanding of Master Data Management concepts, including Object Oriented Design, Programming, and Data Modeling
Strong experience in development configuration of Workflow, Web UI, and Business Rules Action components of MDM (STIBO STEP solution preferred)
Strong experience in identifying performance bottlenecks, providing a solution, and implementing functional performance recommendations
Experience in implementing deployment automation to support the data model / web-ui / JavaScript binds / configurations and product information between environments.
Experience in developing enterprise applications using Java, J2EE, JavaScript, HTML, CSS, Spring Framework
Working experience with at least one major MDM platform such as Oracle, Informatica, or Stibo (preferred)
Working experience in data profiling, data quality designing, and configuring MDM UI, workflows, and rules for business processes, preferably in a retail domain
Experience working in an Agile Environment
Experience working in an infrastructure environment (ability to assist in logins, restarting servers, etc.)
Experience working in Oracle as the main database or Linux operating systems
Experience with data modeling and data migration
Experience with security best practices of web applications to address vulnerabilities
Experience with application integration and middleware
Strong communication skills are required, with the ability to give and receive information, explain complex information in simple terms, and maintain a strong customer service approach to all users.
Knowledge of/prior DBA experience with SQL Server and/or Oracle is a plus. Minimum knowledge/experience in UNIX
Ability to work independently, creatively problem solve complex technical problems, and can provide guidance and training to others
Ability to provide accurate estimates of timeframes necessary to complete potential projects and develop project implementation plans
Bachelor's Degree in Computer Science or related experience
Desired Skills and Experience
Master Data Management (MDM), STIBO STEP, Oracle MDM, Informatica MDM, Java, J2EE, JavaScript, HTML, CSS, Spring Framework, Data Modeling, ETL, Data Integration, Data Migration, Data Profiling, Data Quality, Data Governance, Workflow Configuration, Web UI Development, Business Rules Configuration, System Design, Software Development Lifecycle (SDLC), Agile Development, SQL, Oracle Database, SQL Server, Linux, UNIX, Performance Tuning, Match Rules Configuration, Data Cleansing, Data Validation, API Integration, Middleware, Application Security, Requirements Gathering, Technical Architecture, Level 3 Support, Code Configuration Management, Release Management, Object Oriented Design, Data Conversion, Infrastructure Management, Technical Consulting, Cross-functional Collaboration, Issue Resolution, Risk Management, Technical Documentation
Bayside Solutions, Inc. is not able to sponsor any candidates at this time. Additionally, candidates for this position must qualify as a W2 candidate.
Bayside Solutions, Inc. may collect your personal information during the position application process. Please reference Bayside Solutions, Inc.'s CCPA Privacy Policy at *************************
Founding Backend Engineer / DeFi / EVM
Requirements engineer job in Santa Rosa, CA
We are actively searching for a Founding Senior Backend Engineer to join our team on a permanent basis. In this position you will lead the design and development of our backend infrastructure that powers our protocol (think everything off-chain). If you are someone that is impressed with what Hyperliquid has accomplished then this role is for you. We are on a mission to build next generation lending and debt protocols. We are open to both Senior level and Architect level candidates for this role.
Your Rhythm:
Drive the architecture, technical design, and implementation of our backend infrastructure
Build and maintain low latency indexing infrastructure
Build and maintain our offline and online data analytic pipelines that power our trading and risk engines
Lead code reviews, providing constructive feedback and ensuring adherence to established coding standards and best practices
Your Vibe:
6+ years of professional software engineering experience
2+ years of experience working on backends interacting with blockchains in production environments
5+ years of experience working with a modern backend languages (Go, Rust, Python, etc) in distributed architectures
Strong knowledge around DeFi products
Open to collaborating onsite a few days a week at our downtown SF office
Our Vibe:
Relaxed work environment
100% paid top of the line health care benefits
Full ownership, no micro management
Strong equity package
401K
Unlimited vacation
An actual work/life balance, we aren't trying to run you into the ground. We have families and enjoy life too!
AI/ML Engineer
Requirements engineer job in Fremont, CA
Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction.
Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters
Job Title: AI/ML Engineer
Location: Fremont, CA (Onsite)
Duration: Long Term
Rate: $75/hr W2
Onsite Days: 5 Days Onsite (M-F)
NOTE: Looking for candidates who are local and have PhDs in relevant Coursework.
Description:
Serve as a member of the factory software machine learning and computer vision team. Design, develop and implement critical machine learning models that operate on our factory and warehouse environments. Take ambiguous problem statements and build end-to-end models using a variety of techniques and tools like supervised learning, convolutional neural networks, PyTorch, Pandas, etc. Work closely with partners in production, process, controls, quality, etc. to build solutions for the hardest problems faced in our operations. Will take ownership of models in production and ensure there is proper alerting systems in place to rapidly deal with any issues that occur. Must be able to clean and deal with diverse and heterogeneous data sets that combine many modalities like images, multi-spectral sensor outputs, voice, text, and tabular data.
Minimum Requirements:
In-depth knowledge of Python for high-performance data-intensive applications.
Familiarity with at least one modern deep learning framework (PyTorch, Jax, TensorFlow, etc.)
Expertise in one or more areas like computer vision, large language models, recommender systems, or operations research.
Foundational knowledge of statistics for comparing models and assessing solution feasibility and performance.
Real-world experience deploying and maintaining production machine learning use-cases.
Passion for clean code and sustainable modular code for taking research ideas into production.
Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.
AI/ML Engineer
Requirements engineer job in Concord, CA
Title- AI/ML ( Platform Engineering)
Duration- 12+ months, contract to hire
Top Skills- AI/Ml, cloud, Kubernates
We are seeking a talented AI/ML Platform Engineer with a strong emphasis on Cloud to join our dynamic team. In this role, you will be responsible for designing, implementing, and maintaining AI/ML infrastructure and solutions that leverage the full power of cloud. Your expertise will be crucial in enabling our data scientists and machine-learning engineers to develop, deploy, and scale AI models efficiently and effectively.
Key Responsibilities:
Build robust AI/ML platforms on cloud, ensuring scalability, reliability, and performance.
Develop automated workflows and pipelines for model training, validation, deployment, and monitoring.
Work closely with data scientists, ML engineers, and other stakeholders to understand their needs and provide optimal solutions.
Continuously optimize the AI/ML infrastructure for cost, performance, and security.
Implement monitoring solutions to ensure the health and performance of AI/ML systems, and troubleshoot any issues that arise.
Maintain comprehensive documentation of the architecture, workflows, and best practices.
Preferred Qualifications:
Proven experience as an AI/ML engineer with a focus on platform engineering and Azure
Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn.
Experience in Terraform and Helm will be an advantage.
Strong understanding of LLMs and proven experience building platforms and applications that leverage them.
Experience with CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes).
Strong understanding of data storage, processing, and ETL workflows.
Knowledge in chunking strategies for vector database
Knowledge on classification & Embedding models.
Familiarity with Agile methodologies and project management tools.
EEO:
“Mindlance is an Equal Opportunity Employer and does not discriminate in employment based on - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”
Frontend Engineer
Requirements engineer job in Fremont, CA
UMATR are supporting an early-stage AI startup on a mission to help growing organisations stay aligned and efficient as they scale. Our product acts as an intelligent teammate that understands a company's context, goals, and culture - giving teams unprecedented visibility into what's happening across the business.
They're backed by top-tier global investors and experienced operators from some of the world's leading tech companies. This is a ground-floor opportunity to build foundational systems that will power the next generation of AI-native enterprise software.
What You'll Do
Build and ship high-quality frontend features using React, Next.js, and TypeScript
Translate designs into polished, responsive, production-ready UI
Partner closely with our designer to iterate rapidly on new UX and UI concepts
Take end-to-end ownership of projects in a fast-moving, early-stage environment
Collaborate with founders and cross-functional teams to shape product and technical direction
(Bonus) Work across the stack when needed, supporting backend teams and integrations
What We're Looking For
3+ years of strong frontend engineering experience with React and TypeScript
Solid understanding of modern frontend architectures, state management, and performance optimisation
Ability to learn quickly, work independently, and move with urgency
Experience shipping production systems with high-quality engineering standards
Bonus: experience in a fullstack environment or working closely with backend engineers
Bias toward ownership, rapid execution, and craftsmanship
Ideal Background
Experience building and scaling products at fast-moving startups (preferred), or at high-bar tech companies
Comfortable with early-stage ambiguity and excited by zero-to-one challenges
Strong product intuition and attention to detail
A builder mentality - hands-on, resourceful, and motivated to create something enduring
Founding Engineer - Applied AI
Requirements engineer job in Sunnyvale, CA
Strativ are assembling the
Founding Engineering team
for a new AI startup tackling a $100bn+ per year inefficiency in the physical world. Fresh off an 8× oversubscribed Seed round - with investors including Palantir and OpenAI - the company is building advanced agentic AI to transform how $2T of industrial goods move through the global supply chain.
This is not another incremental SaaS tool. You'll build AI systems and deploy agents that directly influence how Fortune 100 enterprises run their worldwide operations. You'll be working alongside a world-class early team of ex-Quants, Oxford/Waterloo grads, and engineers from elite tech firms like X. The company has multiple early products already in motion, extremely strong inbound customer demand, and a long-term vision on the scale of Palantir's early mission.
If you want to work relentlessly, solve real-world problems with massive economic impact, and help build a generational AI company from day zero; this is that moment.
Key skills/experience required;
3+ years' experience in Software Engineering
Hands-on experience building with LLMs (OpenAI, Anthropic, HuggingFace, Azure, etc.).
Strong understanding of agent frameworks (LangChain, LlamaIndex, Semantic Kernel, AutoGen, or custom-built tools)
Understanding of distributed systems, microservices, and event-driven architectures
MS / BS in CS or similar
Please apply ASAP for more info.
Android Platform Engineer (AOSP)
Requirements engineer job in Sunnyvale, CA
About the role
We're looking for an Android Platform Engineer with hands-on experience with developing consumer hardware products using the Android Open Source Project (AOSP). You'll work on system-level Android development - modifying the OS, integrating hardware support, and customizing the Android framework to suit product needs.
This role is ideal for engineers who have worked close to hardware subsystems such as wireless and networking components, and enjoy troubleshooting low-level platform issues.
It is not a good fit for Android app developers.
Job Description
Build, customize, and maintain Android images using AOSP for custom embedded devices
Modify and extend Android framework components, Java system services, and native services
Integrate new hardware via HALs (AIDL/HIDL), and work closely with BSP and hardware teams
Debug and fix system-level issues including crashes, boot loops, and hardware integration bugs
Optimize system performance, stability, and boot times
Contribute to OTA update mechanisms and factory image preparation
Collaborate with app developers, product teams, and embedded engineers
Qualifications | Required
3+ years of experience in Android platform development or embedded Linux
Proficiency with AOSP internals, Android framework, Java system services and native services
Solid understanding of the Android system architecture: init, Zygote, Binder, system_server and Java system services
Experience writing and integrating Android HALs (AIDL/HIDL)
Strong programming skills in Java, C/C++, and shell scripting
Proficient with adb, logcat, dmesg, fastboot, and low-level debugging tools
Experience working with AOSP build tools: lunch, make, Soong (Android.bp)
Qualifications | Preferred
Experience with device bring-up on custom hardware or non-standard Android devices
Exposure to Qualcomm, MediaTek, or other SoC platforms
Contributions to custom ROMs or open-source AOSP forks (e.g., LineageOS)
Experience with OTA systems, bootloaders, and recovery images
Knowledge of Android Verified Boot (AVB), encryption, and secure boot processes
Familiarity with Android Wear OS or Android for IoT
Location
Sunnyvale, CA (other parts of the United States may be considered for exceptional candidates)
Benefits
Delart offers competitive compensation and employee benefits, including premium PPO and HMO health insurance coverage, life insurance, short/long-term disability insurance, a company-matched 401(k) plan, and a generous paid time off policy.
Founding Engineer
Requirements engineer job in Santa Clara, CA
Please read in full: As a founding engineer, you'll work across our entire stack to build and scale our contextual advertising network for AI tools. You'll have significant influence over technical direction and full autonomy. Our immediate priority is backend engineering, but full-stack experience is a strong bonus.
Compensation and what we offer:
Salary Range: $150,000 - $300,000 USD, depending on experience and scope of contribution
Equity: Ranging from $100,000 - $300,000 USD based on experience and contribution
Location: Onsite at our spacious office in San Francisco, California.
Company Background
Gravity is an advertising network for AI chat
Enables advertisers to embed ads in relevant conversations
Ads write themselves using AI
Launched 3 months ago
16M users on installed platforms
$500M/year advertiser spend waiting to onboard
Delivered impressions scaling 10x MoM as we connect supply with demand
Responsibilities
As a founding engineer, you'll be working on:
Building and scaling core infrastructure
Solving novel technical and product challenges with high ambiguity
Driving technical direction with high ownership and autonomy
What We're Looking For
Solving problems with the end user in mind
Full-stack development experience
Strong problem-solving ability in ambiguous technical/product areas
Experience building and scaling distributed systems
Practical experience with LLMs and AI infrastructure
Proven track record of ownership and autonomous execution
Strong communication skills
Why Join Us
Solve cutting-edge advertising challenges with AI
Shape the future of generative advertising
Operate in a flat hierarchy with high ownership and autonomy
Competitive compensation and equity
Be part of a small, talented, fast-moving founding team in San Francisco
Interview Process
Initial screening with CEO
45-minute technical interview
Onsite interview with CEO (video call for non-SF applicants)
Please email your application to ******************** with the subject line
Joining Gravity - [Your Name]
Include:
Your resume
A short introduction about yourself
Any relevant links, such as GitHub, portfolio, or past projects that show your work
FrontEnd Engineer (React.JS & Vue.JS & Node..js)
Requirements engineer job in Cupertino, CA
Title: Software Engineer (React.JS & Node.JS)
Duration: 12 months
Required Skills & Qualifications:
More than 10 years of experience in front end development.
Proven experience with React.js for frontend development.
Solid understanding of Node.js and backend architecture.
Familiarity with version control systems like Git.
Experience with RESTful APIs and asynchronous programming.
Excellent problem-solving and communication skills.
Strong proficiency in JavaScript, both ES6+ and TypeScript (preferred).
Splunk Engineer
Requirements engineer job in San Jose, CA
Role: SPLUNK engineering consultant (Monitoring Specialist)
Contract
Focus Areas: Search performance, platform optimization, integrations, governance maturity
We are seeking an experienced Splunk engineer to help stabilize, optimize, and improve our Splunk environment. This role will support search performance, data reliability, usability, and governance practices to ensure Splunk aligns to our security, compliance, and analytics requirements. The ideal candidate combines deep Splunk platform expertise with hands-on engineering experience in search optimization, pipeline reliability, knowledge object hygiene, and security-focused data workflows.
Key Responsibilities
Search & Performance Optimization
Improve speed and efficiency of searches across large datasets.
Implement caching, tuning, and search-hygiene practices to reduce redundant or costly searches.
Enhance workflows so analysts can pivot and reuse results without re-running full searches.
Data Integration & Reliability
Strengthen stability and reliability of Splunk data pipelines for exports and integrations.
Support real-time or near-real-time data flows where applicable.
Improve resiliency of indexing, clustering, and correlation workloads.
Governance & Lifecycle Management
Review and rationalize existing knowledge objects (saved searches, lookups, dashboards).
Implement monitoring to track field drift, schema changes, or configuration defects that affect detections.
Define lightweight governance and lifecycle controls for knowledge objects and detection artifacts.
Support alignment with broader data governance policies, including access models, retention, and auditability.
Advanced Capabilities & Usability
Enable notebook-style investigative analysis for collaboration and reproducibility.
Assist data transformation and ML/AI-driven analytics enhancements where practical.
Provide guidance on detection-as-code best practices and CI/CD integration for security detection workloads.
Required Skills & Experience
Strong hands-on experience with Splunk Enterprise / Enterprise Security administration and engineering.
Expert level capability in SPL tuning, indexing strategy, search optimization, and performance troubleshooting.
Proven experience with data pipeline reliability and ingestion stabilization.
Familiarity with Splunk governance principles (knowledge object hygiene, schema evolution, retention/access practices).
Proficiency in Python or scripting for automation and advanced handling.
Preferred Skills
Experience with security detection engineering or detection-as-code frameworks.
Background in ML/AI features within Splunk or adjacent systems.
Understanding of compliance frameworks and their implications on Splunk governance.
Education and Experience
9-12 years of relevant experience preferred or equivalent demonstrated expertise.
Candidate Profile
This role is best suited for someone who:
Has operated Splunk at scale (large/log-dense enterprise environments)
Enjoys diagnosing systemic performance issues and stabilizing environments
Understands security operations use cases, detection design, and data quality impacts
Can work independently, prioritize, and collaborate with analysts and engineering teams
Founding Engineer
Requirements engineer job in Santa Rosa, CA
A growing team San Francisco is building the next generation of emotionally intelligent AI systems that combine language, voice, emotion, and visuals to make human and AI interaction feel natural.
As a Founding Engineer, you will work directly with the founders to define, build, and scale the product from its core, applying LLMs and multimodal models to create technology that feels alive and human.
What you will be doing
Building and scaling multimodal AI systems that integrate LLMs, speech, and visual components
Designing and developing internal developer tools to accelerate experimentation
Working across Python to connect backend model serving with interactive frontends
Shaping infrastructure, architecture, and product direction from the earliest stage
What we are looking for
Strong background in Python
Experience with LLMs, embeddings, vector databases, or related AI frameworks
Startup mindset with experience as an early hire, founder, or technical lead
Excited by the intersection of language, voice, and human machine interaction
Ideally a background in ROS, ROS2, Streaming, or Real Time Systems
Why join
Meaningful early equity in a company
The chance to shape both product and culture from the ground up
If you are curious about building AI that feels as well as thinks, I would love to hear from you.
To apply or learn more: message Jake Denman at Breakthrough Talent.
Founding AI Engineer
Requirements engineer job in Santa Rosa, CA
Founding AI Engineer (YC-backed Voice + Text AI Startup)
Perks: Team housing available in San Francisco
The Company
Our client is a YC-backed seed-stage startup building the simulation, evaluation, and observability layer for voice and text AI agents. Their platform is already being used by enterprises and high-growth startups, including Fortune 500 companies, to ensure conversational AI agents perform safely, reliably, and at scale.
With $4M raised from leading investors (including Floodgate and PeakXV) and revenue doubling every quarter since launch, they're now hiring a Founding AI Engineer to join their core team in San Francisco. This is a chance to work alongside the founders, directly influence the product roadmap, and help define the technical foundation of a rapidly growing AI company.
The Role
This is a full-stack role with a strong AI focus. The ideal candidate is hands-on, deeply technical, and comfortable building across the stack. You'll be designing systems that simulate, test, and measure AI agents in real time - powering the infrastructure that ensures AI products behave as intended.
Responsibilities
Architect and develop systems that simulate, analyze, and evaluate conversational AI agents across voice and text.
Design scalable, resilient infrastructure on AWS (Lambda, EC2, WebSockets, SIP) to handle thousands of simultaneous real-time interactions.
Build and optimize pipelines that measure agent performance, detect failure modes, and enforce reliability and safety.
Ship production-grade code across frontend and backend systems with full ownership from design to deployment.
Collaborate directly with enterprise customers to build, test, and deploy solutions in real-world environments.
Tech Stack
Frontend: React, TypeScript, Next.js, Tailwind
Backend: Python, FastAPI, Redis, Supabase
Infrastructure: AWS (Lambda, EC2, WebSockets, CI/CD)
Voice AI: LiveKit, Deepgram, Cartesia, ElevenLabs
Text AI: Pydantic AI, OpenAI, agentic frameworks
Ideal Profile
Full-stack engineer with strong fundamentals and a track record of shipping real products.
Excited by Voice AI, LLMs, and real-time AI systems.
Passionate about clean architecture, code quality, and efficient design.
Entrepreneurial mindset; thrives in fast-moving, high-ownership environments.
Strong communicator and collaborator who enjoys working closely with technical founders.
Nice to Have
Experience in Voice AI, conversational agents, or LLM evaluation pipelines.
Prior work at a YC-backed startup or as a Founding Engineer.
Background in RAG systems, reinforcement learning, or multi-agent frameworks.
Strong product sensibility and eye for user experience or system aesthetics.
Logistics
In-person only role in San Francisco.
US work authorization required (open to OPT if no onboarding delay).
Interview process: informal culture fit call → practical system design exercise → optional technical validation → short paid work trial.
Why It's Worth Your Time
This company is defining a new category for AI quality assurance - engineering trust into how AI agents are tested before deployment. You'll be working with high-profile customers, advanced AI systems, and founders who have already proven their ability to ship, sell, and scale.
If you want to build at the intersection of AI safety, infrastructure, and real-world impact, this is an opportunity to join a YC startup early, take real ownership, and grow with the company.
To express interest or learn more, reach out directly to Josh Kelly at HartleyCo, the retained search partner for this hire.
MLOps Engineer
Requirements engineer job in Redwood City, CA
Senior ML Infrastructure / MLOps Engineer
We're representing an ambitious AI research organization building physical autonomy systems powered by large-scale ML. You'll own the infrastructure that makes cutting-edge model development reliable, reproducible, and scalable - from training to deployment.
⭐ The Opportunity
Be a core part of the team responsible for the machine learning foundation of a next-generation AI platform. You will help build and maintain the systems that enable performant model training, experimentation, and production workflows at scale.
What You'll Do
Build and maintain scalable ML infrastructure supporting training, fine-tuning, RLHF/DPO workflows, and distributed experiments.
Develop and manage data pipelines, dataset versioning, experiment tracking, and reproducible evaluation frameworks.
Operate containerized training and inference environments, including CI/CD automation for models.
Partner with researchers, engineers, and systems teams to enable rapid iteration and robust deployments.
What You Bring
Strong experience with ML infrastructure, distributed training systems, and production-grade MLOps practices.
Familiarity with containerization, orchestration, and reproducible ML workflows.
Hands-on in experiment management, dataset governance, and automation tooling.
A pragmatic mindset and ability to work across research and engineering functions.
Why This Role Excites People
Directly shape the backbone of ML systems that support real, high-impact AI research and autonomous behavior.
Work with a tight-knit, world-class team tackling foundational problems at the intersection of ML, systems, and autonomy.
Competitive salary, meaningful equity, and a strong benefits package.
MLOps Engineer
Requirements engineer job in Redwood City, CA
Senior ML Infrastructure / MLOps Engineer
We're representing an ambitious AI research organization building physical autonomy systems powered by large-scale ML. You'll own the infrastructure that makes cutting-edge model development reliable, reproducible, and scalable - from training to deployment.
⭐ The Opportunity
Be a core part of the team responsible for the machine learning foundation of a next-generation AI platform. You will help build and maintain the systems that enable performant model training, experimentation, and production workflows at scale.
What You'll Do
Build and maintain scalable ML infrastructure supporting training, fine-tuning, RLHF/DPO workflows, and distributed experiments.
Develop and manage data pipelines, dataset versioning, experiment tracking, and reproducible evaluation frameworks.
Operate containerized training and inference environments, including CI/CD automation for models.
Partner with researchers, engineers, and systems teams to enable rapid iteration and robust deployments.
What You Bring
Strong experience with ML infrastructure, distributed training systems, and production-grade MLOps practices.
Familiarity with containerization, orchestration, and reproducible ML workflows.
Hands-on in experiment management, dataset governance, and automation tooling.
A pragmatic mindset and ability to work across research and engineering functions.
Why This Role Excites People
Directly shape the backbone of ML systems that support real, high-impact AI research and autonomous behavior.
Work with a tight-knit, world-class team tackling foundational problems at the intersection of ML, systems, and autonomy.
Competitive salary, meaningful equity, and a strong benefits package.
Founding Engineer
Requirements engineer job in Palo Alto, CA
Palo Alto, CA
Our client is the single source of truth for headcount that aligns finance teams, talent teams, people / HR teams, and hiring leaders. Connected with your HCM, ATS, and financial planning system, Caro ensures all three systems stay in sync in real time, keeping your teams aligned and up to date on the latest and greatest.
Role Overview
We are looking for a Founding Engineer with 2+ years of experience to join our team in building a headcount platform for enterprise teams. This role is ideal for someone who thrives in a fast-paced startup environment, is excited to work directly with founders and early customers, and is motivated by delivering tangible impact. You will be instrumental in shaping our early product and contributing to our journey toward product-market fit.
What you will do:
Ship and iterate quickly while being thoughtful about trade-offs for quality.
Collaborate with the founders on designing the best solution for our customers' problems.
Interact directly with customers to diagnose and resolve issues in the product.
Own large parts of the product independently, from technical design to shipping into production.
Wear multiple hats, including engineering, product, and customer support.
ServiceNow CMDB Engineer
Requirements engineer job in Irvine, CA
Employment Type: Full-Time, Direct Hire (W2 Only - No sponsorship available)
About the Role
We're seeking a skilled and driven ServiceNow CMDB Engineer to join our team in Irving, TX. This is a hands-on, onsite role focused on designing, implementing, and maintaining a robust Configuration Management Database (CMDB) aligned with ServiceNow's Common Service Data Model (CSDM). You'll play a critical role in enhancing IT operations, asset management, and service delivery across the enterprise.
Responsibilities
Architect, configure, and maintain the ServiceNow CMDB to support ITOM and ITAM initiatives
Implement and optimize CSDM frameworks to ensure data integrity and alignment with business services
Collaborate with cross-functional teams to define CI classes, relationships, and lifecycle processes
Develop and enforce CMDB governance, data quality standards, and reconciliation rules
Integrate CMDB with discovery tools and external data sources
Support audits, compliance, and reporting requirements related to ITIL processes
Troubleshoot and resolve CMDB-related issues and performance bottlenecks
Qualifications
3+ years of hands-on experience with ServiceNow CMDB and CSDM implementation
Strong understanding of ITIL practices and ITOM/ITAM modules
Proven ability to manage CI lifecycle and maintain data accuracy
Experience with ServiceNow Discovery, Service Mapping, and integrations
ServiceNow Certified System Administrator (CSA) or higher certifications preferred
Excellent communication and documentation skills
Must be authorized to work in the U.S. without sponsorship
Perks & Benefits
Competitive compensation package
Collaborative and innovative work environment
Opportunity to work with cutting-edge ServiceNow technologies
SI/PI Engineer
Requirements engineer job in San Jose, CA
As an EDA Product Engineer you will be responsible for capturing the requirements of, developing, testing and delivering software integrations. You will work closely with other members of the Product Engineering and R&D teams to respond to development and enhancement requests, focusing primarily upon the usability and user experience and their interactions. Some travel may be required.
Job Responsibilities:
Develop and maintain Cadence MSA products, including Sigirty, Clarity, and Microwave office.
Integrate the MSA products with and their interactions with the Cadence other product families.
Work in cooperation with local/international Field Applications team members to capture feedback and usability improvement requests for the Sigirty and Clarity family of products.
Work in cooperation with R&D teams to transform feedback and improvement requests into detailed requirement specifications.
Translate the requirement specifications into working software implementations.
Perform detailed testing of the software implementations in preparation for release to customers.
Author documentation and work with Technical Publications to ensure its inclusion into correct and easy to understand documents.
Minimum Qualifications:
• Master or Ph.D. degree (or equivalent) in Computer Science/Electromagnetic Engineering
• Antenna, RF circuit design background with at least 5 years of professional experience
• Knowledge of 3D computational electromagnetics, understanding one of FEM, FDTD, MoM or other algorism. Familiar with industry electromagnetics software.
• Knowledge of RF and antenna design, familiar with Clarity, Microwave office, EMX, or other electromagnetics simulation tools; Understand PCB, Package SI/PI simulation.
• Familiar with SI/PI tools, like PowerSI, OptimizPI, XtractIM.
• Passionate about usability and delivery of right-the-first-time integrations
• Creativity and out-of-the-box thinking
• Capable of giving and accepting constructive feedback
• Collaboration and customer interaction skills
• Oral and written English proficiency
Desired Qualifications:
• Experience working in an agile and fast-paced product development environment
• Experience with Cadence EDA tools such as Cadence Virtuoso, Allegro, and APD, PowerSI, PowerDC, Clarity, Microwave office, EMX, etc is a plus.
Snowflake DBT Engineer-- CDC5697451
Requirements engineer job in Irvine, CA
Key Responsibilities
Design develop and maintain ELT pipelines using Snowflake and DBT
Build and optimize data models in Snowflake to support analytics and reporting
Implement modular testable SQL transformations using DBT
Integrate DBT workflows into CICD pipelines and manage infrastructure as code using Terraform
Collaborate with data scientists analysts and business stakeholders to translate requirements into technical solutions
Optimize Snowflake performance through clustering partitioning indexing and materialized views
Automate data ingestion and transformation workflows using Airflow or similar orchestration tools
Ensure data quality governance and security across pipelines
Troubleshoot and resolve performance bottlenecks and data issues
Maintain documentation for data architecture pipelines and operational procedures
Required Skills Qualifications
Bachelors or Masters degree in Computer Science Data Engineering or related field
10 years of experience in data engineering with at least 3 years focused on Snowflake and DBT
Strong proficiency in SQL and Python
Experience with cloud platforms AWS GCP or Azure
Familiarity with Git CICD and Infrastructure as Code tools Terraform CloudFormation
Knowledge of data modeling star schema normalization and ELT best practices
Founding Backend Engineer / DeFi / EVM
Requirements engineer job in San Jose, CA
We are actively searching for a Founding Senior Backend Engineer to join our team on a permanent basis. In this position you will lead the design and development of our backend infrastructure that powers our protocol (think everything off-chain). If you are someone that is impressed with what Hyperliquid has accomplished then this role is for you. We are on a mission to build next generation lending and debt protocols. We are open to both Senior level and Architect level candidates for this role.
Your Rhythm:
Drive the architecture, technical design, and implementation of our backend infrastructure
Build and maintain low latency indexing infrastructure
Build and maintain our offline and online data analytic pipelines that power our trading and risk engines
Lead code reviews, providing constructive feedback and ensuring adherence to established coding standards and best practices
Your Vibe:
6+ years of professional software engineering experience
2+ years of experience working on backends interacting with blockchains in production environments
5+ years of experience working with a modern backend languages (Go, Rust, Python, etc) in distributed architectures
Strong knowledge around DeFi products
Open to collaborating onsite a few days a week at our downtown SF office
Our Vibe:
Relaxed work environment
100% paid top of the line health care benefits
Full ownership, no micro management
Strong equity package
401K
Unlimited vacation
An actual work/life balance, we aren't trying to run you into the ground. We have families and enjoy life too!