Requirements engineer jobs in Salinas, 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.

Role: Oracle ERP PLSQL Engineer Type: Contract W2 JD: We have an urgent IT Engineer (Oracle ERP PLSQL) requirement in. Technically skilled talents with expertise in Oracle ERP and Oracle PL/SQL Minimum of 8 years of experience in Oracle E-Business Suite (EBS) and Oracle PL/SQL technical development and support. Technical expertise in Oracle PL/SQL, SQL, and a comprehensive understanding of key Oracle EBS modules, including Order Management, Shipping, Inventory Design, develop, and maintain Oracle PL/SQL scripts, stored procedures, packages, functions, and triggers to support, customize and enhance Oracle EBS applications. Develop and customize Oracle EBS applications based on business requirements, including forms, reports, interfaces, conversions, and extensions (RICEW objects). Optimize SQL queries and PL/SQL code for maximum performance and efficiency within the Oracle database environment. Provide technical support and troubleshooting for Oracle EBS modules, resolving complex issues related to performance, data integrity, and system errors. Collaborate with functional teams, business analysts, and end-users to gather, analyze, and translate business requirements into technical specifications and solutions. Implement and configure Oracle E-Business Suite (EBS) applications, ensuring alignment with business processes and requirements. Develop and maintain custom reports, forms, and interfaces within Oracle EBS using Oracle development tools such as Oracle Forms, Oracle Reports, Oracle Workflow, and BI Publisher. Gain a strong understanding of Oracle EBS architecture and data models to effectively develop and maintain applications. Participate in all phases of the software development lifecycle (SDLC), including requirements gathering, design, development, testing, deployment, and support. Create and maintain comprehensive technical documentation and user guides. Excellent analytical, problem-solving, and communication skills, with the ability to collaborate effectively with cross-functional teams. Thanks and Regards, Priya Chauhan ******************* Phone ***************a Signature IT World Inc.

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

Type: Contract We are hiring a Moveworks Developer/Engineer for one of our premier consulting clients. This role focuses on building and optimizing AI-powered conversational agents that automate employee support across IT, HR, and business functions. Responsibilities • Design, develop, and enhance AI-driven bots using the Moveworks platform • Configure intents, entities, and NLU models for high accuracy • Build conversational flows to automate IT/HR/Finance use cases • Integrate Moveworks with platforms like ServiceNow, Workday, SAP, and Jira • Develop backend services using Python or Node.js • Monitor bot performance and implement continuous improvements • Collaborate with IT and business stakeholders on requirements • Troubleshoot bot logic, integrations, and platform issues Qualifications • 1-3+ years of hands-on experience with Moveworks • Strong expertise in NLP/NLU configuration • Programming experience (Python/Node.js/TypeScript) • REST API development & integration experience • Exposure to ServiceNow, Workday, Jira, or SAP • Familiarity with SQL/NoSQL databases • Strong problem-solving and communication skills • Experience in Agile/Scrum environments

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

Infosys is seeking Google ADK AI Engineer- In this role, you will interface with key stakeholders and apply your technical proficiency across different stages of the Software Development Life Cycle including Requirements Elicitation, Application Architecture definition and Design. You will play an important role in creating the high-level design artifacts. You will also deliver high quality code deliverables for a module, lead validation for all types of testing and support activities related to implementation, transition, and warranty. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued. Required Qualifications: Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. Candidate must be located within commuting distance of Sunnyvale/ Cupertino, CA or be willing to relocate to the area. This position may require travel within the US Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time. At least 4 years of Information Technology experience. Strong programming skills in Python and applied experience with a range of LLMs. Expert in applying and extending AI agent frameworks (Google ADK, LangChain, etc.). Hands-on experience developing, deploying, and operating AI agents in production. Experience deploying AI systems in large-scale, hybrid environments with a focus on performance and reliability. Experience in writing SQL Preferred Qualifications: A portfolio of deployed agentic systems that have delivered significant, measurable impact. Experience in evaluation frameworks for AI agents. Proven years of software development or machine learning experience. Proven expertise in optimizing AI agents for latency, scalability, and cost. Experience in Big data would be an added advantage A track record of thought leadership or contributions to the field of agentic AI. M.S. or PhD in computer science, machine learning, or a related field or equivalent practical experience Good understanding of Agile software development frameworks Strong communication and Analytical skills Ability to work in teams in a diverse, multi-stakeholder environment comprising of Business and Technology teams Experience and desire to work in a global delivery environment The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements. EEO/About Us: About Us Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.

Member of Technical Staff - AI Data Engineer San Francisco (In-Office) $150K to $225K + Equity A high-growth, AI-native startup coming out of stealth is hiring AI Data Engineers to build the systems that power production-grade AI. The company has recently signed a Series A term sheet and is scaling rapidly. This role is central to unblocking current bottlenecks across data engineering, context modeling, and agent performance. Responsibilities: • Build distributed, reliable data pipelines using Airflow, Temporal, and n8n • Model SQL, vector, and NoSQL databases (Postgres, Qdrant, etc.) • Build API and function-based services in Python • Develop custom automations (Playwright, Stagehand, Zapier) • Work with AI researchers to define and expose context as services • Identify gaps in data quality and drive changes to upstream processes • Ship fast, iterate, and own outcomes end-to-end Required Experience: • Strong background in data engineering • Hands-on experience working with LLMs or LLM-powered applications • Data modeling skills across SQL and vector databases • Experience building distributed systems • Experience with Airflow, Temporal, n8n, or similar workflow engines • Python experience (API/services) • Startup mindset and bias toward rapid execution Nice To Have: • Experience with stream processing (Flink) • dbt or Clickhouse experience • CDC pipelines • Experience with context construction, RAG, or agent workflows • Analytical tooling (Posthog) What You Can Expect: • High-intensity, in-office environment • Fast decision-making and rapid shipping cycles • Real ownership over architecture and outcomes • Opportunity to work on AI systems operating at meaningful scale • Competitive compensation package • Meals provided plus full medical, dental, and vision benefits If this sounds like you, please apply now.

Senior DevOps Engineer San Francisco, CA $175,000 - $210,000 Hybrid We're looking for an experienced Senior DevOps Engineer to lead infrastructure initiatives, optimize CI/CD systems, and mentor other engineers as we continue to scale our client's platform. Role Overview As a Senior DevOps Engineer, you'll take ownership of our cloud infrastructure and delivery pipelines. You'll collaborate closely with developers, architects, and security teams to build highly available, fault-tolerant systems as well as drive best practices in automation, observability, and reliability. Responsibilities Architect, implement, and maintain CI/CD pipelines to support rapid and reliable software delivery. Lead the design and automation of scalable infrastructure in AWS, Azure, or GCP. Define and enforce best practices for infrastructure-as-code (IaC) using Terraform, Ansible, or similar tools. Implement robust monitoring, alerting, and logging systems (Grafana, Prometheus, ELK, Datadog). Optimize cloud costs, security, and performance across multiple environments. Collaborate with development teams to design cloud-native, containerized solutions using Docker and Kubernetes. Drive incident response processes and improve system reliability (SRE principles). Mentor junior DevOps and software engineers on automation and cloud operations. Requirements 7+ years of hands-on DevOps or Site Reliability Engineering experience. Proven expertise in AWS, Azure, or GCP cloud infrastructure. Strong experience with Kubernetes and container orchestration at scale. Deep understanding of CI/CD tools (GitHub Actions, Jenkins, GitLab CI, or CircleCI). Strong scripting and automation skills (Python, Bash, or Go preferred). Proficiency in Infrastructure as Code (Terraform, CloudFormation, or Ansible). Excellent grasp of cloud security, networking, and system observability. Experience leading projects or mentoring engineering teams. Nice to Have Experience with service mesh, serverless, or multi-cloud deployments. Background in performance optimization, disaster recovery, or SRE practices. Certifications such as AWS Certified DevOps Engineer, CKA/CKAD, or Azure DevOps Expert.

The person in this position is responsible for designing and building automated processes keeping reproducibility, auditability and traceability for deployment, monitoring and operations. Job Duties: Provides customized continuous integration/continuous delivery (CI/CD) solutions which are fully compliant with ITL change, incident and configuration processes. Involved in planning, installation, maintenance during or after-work hours, troubleshooting, and managing all DevOps servers and applications. Work with application developers and software engineers in designing, building, testing and deploying changes to existing software. Assists in infrastructure performance and stress testing. Coordinates software and application deployments into internal and external environments Works with developers to identify potential operational issues with software and workflows before production release. Design procedures for system troubleshooting and maintenance. Enhance the company's IT infrastructure security protocol. Job Requirements: Educational requirements include a bachelor's degree from an accredited college or university or 7 Years' experience in system administration. Experience requirement of Windows and Linux operating systems, VMWare ESXi deployment and operations experience. Experience on Docker and at least one Docker Container orchestration - ECS, Kubernetes. Experience with Git (Branch, Rebase, Merge, Tag, etc)/Github/ GitLab/ Bitbucket (Git). Knowledgeable on SAN technologies and applications. Working knowledge of databases and SQL. Problem-solving attitude. Collaborative team spirit. Desired Qualifications: Basic scripting (PowerShell, Bash or Python). Experience with Infrastructure as Code. Required Qualifications: An Active DOD SECRET Clearance is required to Start. IAT II/CompTIA Seccuirty+ CE certification is required to Start. Computing Environment for Data Center (ITIL certificate, cloud certificate, or DevOPs certificate) within 6 months of start date. Company Description LinTech Global is an award-winning, ISO 9001:2015 certified, business and GSA contract holder providing diversified Information Technology services to both Civilian and Defense agencies. Services include Software Development, Systems Integration, Data Management, Project Management, Operations & Maintenance, Cybersecurity, and Training and Audio/Visual (AV) Solutions. LinTech has received several recognitions, including rankings on "Top 50 Companies to Watch", Washington Technology's Annual "FAST 50", and Inc. 500's List of "Fastest Growing Private Companies". The LinTech Global team is comprised of individuals who are dedicated to the success and sustainability of our customers and their missions. Our combination of technical expertise, big business experience, and small business agility allows us to promptly provide our customers with exceptional IT and engineering solutions. Benefits Our robust benefits package includes Open Paid Time Off, Paid Holidays, Company-paid Life/AD&D, Company-paid Short Term and Long-Term Disability, Health Insurance with Company Contribution, 401k Plan with Company Match, Employee Recognition Program, opportunity for Employee Referral Bonus, opportunity for annual Performance Bonus and much more! EEO Statement LinTech Global, Inc. is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment is decided based on qualifications, merit, and business need. All applicants will be considered for employment without attention to race, religion, color, national origin, ancestry, physical or mental disability, medical condition, pregnancy (including childbirth, lactation and related medical conditions), marital status, genetic information (including characteristics and testing), gender, sexual orientation, gender identity or expression, military and veteran status, or any other status protected under federal, state, or local law in the locations where we operate. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact Human Resources. The Company invites any applicant and/or employee to review the Company's written Affirmative Action Plan. This plan is available for inspection upon request. ************************************************************************************** #DICE #LI-LM1

Job Description - Snowflake Data Engineer (DBT SQL) Duration: 6 months Key Responsibilities • Design, develop, and optimize data pipelines using Snowflake and DBT SQL. • Implement and manage data warehousing concepts, metadata management, and data modeling. • Work with data lakes, multi-dimensional models, and data dictionaries. • Utilize Snowflake features such as Time Travel and Zero-Copy Cloning. • Perform query performance tuning and cost optimization in cloud environments. • Administer Snowflake architecture, warehousing, and processing. • Develop and maintain PL/SQL Snowflake solutions. • Apply design patterns for scalable and maintainable data solutions. • Collaborate with cross-functional teams and tech leads across multiple tracks. • Provide technical and functional guidance to team members. Required Skills & Experience • Hands-on Snowflake development experience (mandatory). • Strong proficiency in SQL and DBT SQL. • Knowledge of data warehousing concepts, metadata management, and data modeling. • Experience with data lakes, multi-dimensional models, and data dictionaries. • Expertise in Snowflake features (Time Travel, Zero-Copy Cloning). • Strong background in query optimization and cost management. • Familiarity with Snowflake administration and pipeline development. • Knowledge of PL/SQL and SQL databases (additional plus). • Excellent communication, leadership, and organizational skills. • Strong team player with a positive attitude.

Our optical sensing team develops optical sensors for next generation products. The team is seeking someone who has strong Python skills, a self-driven go-getter, with strong experience in optical instruments, data analysis and data visualization is required. Responsibilities: Manage and report the engineering build process using Python and JMP to analyze large sets of data and track key figures of merits. Validate the ambient light sensors' color and Liz sensing performance using Python and spectrometers. Assist with miscellaneous lab work to conduct failure analysis or research such as display light leakage, cover glass properties, affects from thermal environment, etc. Support in creating a performance simulation model using MATLAB. Lead end-to-end lab validation to support new optical sensor development. Develop and implement validation plan for hardware/software designs. Benchmark optical sensor performance from early prototype to product launch. Provide guidance and recommendation to production line testing requirements. Analyze data to draw conclusions and provide feedback to product design. Convert data to a visual plot and/or chart. Collaborate with cross-functional teams including Optical Engineering, Mechanical Engineering, Electrical Engineering and Process Engineering to deliver state-of-the-art sensing solutions. Deliver presentations of results in regular review with cross-functional teams. Requirements: Degree in Optics, Physics, Electrical Engineering or equivalent. B.S./M.S. and industry experience, or Ph.D. Strong background in optical measurements and data analysis. Experience in using Python or other coding languages for lab equipment control, data acquisition, and instrument automation. Need to be able to write/create, rewrite, revise customize and automate scripts. Hands-on experience with optical lab equipment (light sources, spectrometers, detectors, oscilloscopes, free space optics on optical bench, etc.). Excellent written and verbal communication skills. Solid teamwork and self-motivated for technical challenges. Preferred Skillset: Both Hardware and Software background Type: Contract (12+ months) Location: Cupertino, CA (100% onsite)

This will be a data engineer role for processing battery testing data to facilitate battery algorithm delivery and support battery algorithm simulations to validate the battery algorithm and project the product KPIs. Requires battery modeling and algorithm knowledge and hands on experiences in data analysis and Matlab programing. Experience with Matlab is required, C++/python is a plus Experience with machine learning, optimization, and control algorithms is a plus Degree in DataScience/EE/CS/ChemE/MechE is preferred. About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit ***************** At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: Pay any fee to be considered for, submitted to, or selected for any opportunity. Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. Pay Range: $75 - $85 The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by appliable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at ***************. To report any concerns, please email us at *******************

Citizenship Requirement: U.S. Citizens Only ITTConnect is seeking a Data Engineer / Analytics to work for one of our clients, a major Technology Consulting firm with headquarters in Europe. They are experts in tailored technology consulting and services to banks, investment firms and other Financial vertical clients. Job location: San Francisco Bay area or NY City. Work Model: Ability to come into the office as requested Seniority: 10+ years of total experience About the role: The Data Engineer / Analytics Specialist will support analytics, product insights, and AI initiatives. You will build robust data pipelines, integrate data sources, and enhance the organization's analytical foundations. Responsibilities: Build and operate Snowflake-based analytics environments. Develop ETL/ELT pipelines (DBT, Airflow, etc.). Integrate APIs, external data sources, and streaming inputs. Perform query optimization, basic data modeling, and analytics support. Enable downstream GenAI and analytics use cases. Requirements: 10+ years of overall technology experience 3+ years hands-on AWS experience required Strong SQL and Snowflake experience. Hands-on pipeline engineering with DBT, Airflow, or similar. Experience with API integrations and modern data architectures.

We are seeking an experienced Data Engineer to design and optimize scalable data pipelines that drive our global data and analytics initiatives. In this role, you will leverage technologies such as Apache Spark, Airflow, and Python to build high performance data processing systems and ensure data quality, reliability, and lineage across Mastercard's data ecosystem. The ideal candidate combines strong technical expertise with hands-on experience in distributed data systems, workflow automation, and performance tuning to deliver impactful, data-driven solutions at enterprise scale. Responsibilities: Design and optimize Spark-based ETL pipelines for large-scale data processing. Build and manage Airflow DAGs for scheduling, orchestration, and checkpointing. Implement partitioning and shuffling strategies to improve Spark performance. Ensure data lineage, quality, and traceability across systems. Develop Python scripts for data transformation, aggregation, and validation. Execute and tune Spark jobs using spark-submit. Perform DataFrame joins and aggregations for analytical insights. Automate multi-step processes through shell scripting and variable management. Collaborate with data, DevOps, and analytics teams to deliver scalable data solutions. Qualifications: Bachelor's degree in Computer Science, Data Engineering, or related field (or equivalent experience). At least 7 years of experience in data engineering or big data development. Strong expertise in Apache Spark architecture, optimization, and job configuration. Proven experience with Airflow DAGs using authoring, scheduling, checkpointing, monitoring. Skilled in data shuffling, partitioning strategies, and performance tuning in distributed systems. Expertise in Python programming including data structures and algorithmic problem-solving. Hands-on with Spark DataFrames and PySpark transformations using joins, aggregations, filters. Proficient in shell scripting, including managing and passing variables between scripts. Experienced with spark submit for deployment and tuning. Solid understanding of ETL design, workflow automation, and distributed data systems. Excellent debugging and problem-solving skills in large-scale environments. Experience with AWS Glue, EMR, Databricks, or similar Spark platforms. Knowledge of data lineage and data quality frameworks like Apache Atlas. Familiarity with CI/CD pipelines, Docker/Kubernetes, and data governance tools.

We're looking for a Lead Data Engineer to spearhead the design, implementation, and iteration of a world-class, modern data infrastructure that powers analytics, data science, and ML/AI systems. You will be in the driver's seat for a new function on the Engineering team and will help chart its future. This role is highly strategic, cross-functional, and hands-on. If you're passionate about building 0→1 data platforms collaboratively and have experience scaling them at a rapidly growing startup, this role is for you. What you will do Define and execute the strategic roadmap for data infrastructure and analytics capabilities across the organization. Partner closely with Data Science, Operations Analytics, Engineering, and Product on the design and implementation of scalable data pipelines, models, and solutions. Drive the development of foundational data products and tools to power self-service analytics. Actively contribute to and influence engineering processes, culture, practices, and systems. Serve as a technical thought leader on data engineering best practices. About you Strong technical foundation with the modern data engineering stack (dbt, PySpark, Fivetran, Snowflake, Lakehouse, CDPs, ETL tools, etc.). Advanced knowledge of SQL and Python. Deep expertise in data pipelines, distributed systems, and analytics infrastructure. Hands-on experience with data warehousing technologies, data lake architecture, and ETL pipelines/tools. Deep understanding of BI tooling infrastructure and semantic layer design (e.g., Looker, Tableau, Metabase, Mode). Experience and interest in leading major architecture initiatives from the ground up. Believer in applying best-in-class software engineering practices to data systems. Interest in coaching/mentoring junior engineers. Bonus points Experience building data products that meet HIPAA requirements. Built platforms that support real-time and batch ML/AI products and systems. Experience integrating EHR and other complex third-party system data. For more info or to apply please share your resume to *************************.

We're the data team behind Midjourney's image generation models. We handle the dataset side: processing, filtering, scoring, captioning, and all the distributed compute that makes high-quality training data possible. What you'd be working on: Large-scale dataset processing and filtering pipelines Training classifiers for content moderation and quality assessment Models for data quality and aesthetic evaluation Data visualization tools for experimenting on dataset samples Testing/simulating distributed inference pipelines Monitoring dashboards for data quality and pipeline health Performance optimization and infrastructure scaling Occasionally jumping into inference optimization and other cross-team projects Our current stack: PySpark, Slurm, distributed batch processing across hybrid cloud setup. We're pragmatic about tools - if there's something better, we'll switch. We're looking for someone strong in either: Data engineering/ML pipelines at scale, or Cloud/infrastructure with distributed systems experience Don't need exact tech matches - comfort with adjacent technologies and willingness to learn matters more. We work with our own hardware plus GCP and other providers, so adaptability across different environments is valuable. Location: SF office a few times per week (we may make exceptions on location for truly exceptional candidates) The role offers variety, our team members often get pulled into different projects across the company, from dataset work to inference optimization. If you're interested in the intersection of large-scale data processing and cutting-edge generative AI, we'd love to hear from you.

Duration;1 yr W2 candidates only What you will bring: Experience integrating complex public cloud and third-party SaaS solutions. Prior work with single sign-on and multi-factor authentication, with a focus on migrating between IDPs. Knowledge of cloud services (e.g., AWS, GCP, Azure) and infrastructure as code (e.g., Terraform, CloudFormation). Agile methodology including using tools/practices such as Jira, roadmapping, managing sprints and backlogs, and tracking resource usage. Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical DevOps experience with at least 5+ years working with AWS. Strong scripting / coding skills in one or more programming / scripting languages (e.g., Python, Powershell,Go, C#, JavaScript). Strong communication and collaboration skills to work effectively with cross-functional teams. A passion for building systems that truly meet the needs of multiple types of technical and non-technical users.

Sr. DevOps with GitHub Co-Pilot exp. Long-term Contract Direct Client: Semiconductor Manufacturing Company Candidates need to be senior level with co-pilot experience Extensive experience in DevOps roles with a focus on supporting and optimizing AI-powered development tools, particularly GitHub Co-Pilot. Should be strong in Unix Demonstrated expertise in leveraging Co-Pilot to streamline code development workflows, improve code quality, and increase developer productivity. Proven track record of providing technical support and guidance to users of the Co-Pilot platform, including troubleshooting issues, addressing user feedback, and advocating for platform enhancements. Strong proficiency in integrating Co-Pilot into CI/CD pipelines and development workflows to automate repetitive tasks, accelerate code review processes, and ensure code consistency. Experience in creating and maintaining Co-Pilot-specific best practices and guidelines for code generation, including code style conventions, documentation standards, and security practices. Familiarity with machine learning and natural language processing concepts, with a deep understanding of how Co-Pilot's AI model works and its limitations. Ability to collaborate with engineering teams to provide insights and recommendations for improving Co-Pilot's accuracy, relevance, and usability. Excellent communication skills, both written and verbal, with the ability to effectively communicate Co-Pilot-related concepts and solutions to technical and non-technical stakeholders. Strong problem-solving abilities and attention to detail, with a proactive approach to identifying and addressing issues related to Co-Pilot usage and integration. Leadership skills to drive Co-Pilot adoption and advocate for its benefits across the organization, as well as mentor team members on best practices for leveraging the platform effectively. Adaptability and a willingness to stay updated on Co-Pilot updates, new features, and industry best practices to continuously improve its usage and impact within the organization. Must have AWS, Jenkins, Unix, and Co-Pilot strong Hands-on, Migrating experience from SVN to Git is a must - Total 8-10 yrs exp. in DevOps - Hands-on exp in Version Control, CI/CD, Containerization (Kubernetes) workflow, Code Scanning, etc. - In the beginning, he/she will help with migrating on-prem footprint to the cloud, so the candidate also needs to have a Terraform script and at the Solution Architect level of skill in AWS cloud.

Forward Deployed Engineer (AI Infrastructure) $80,000 - $120,000 + Equity + Benefits + PTO San Francisco, CA - Onsite (6 days/week) Are you an engineer who loves solving complex, real-world problems directly with customers? Do you want to work hands-on deploying cutting-edge AI infrastructure used by developers and enterprises around the world, whilst continuing to develop both your technical and client-facing skillsets. This is a rare opportunity to join a profitable, fast-growing AI startup at the heart of the LLM ecosystem. The team is building a unified platform that lets developers call any large language model - from OpenAI and Anthropic to Mistral and Hugging Face - through a single, standardized API. The SDK eliminates vendor lock-in, supports caching, logging, streaming, and integrates seamlessly with frameworks like LangChain and LlamaIndex. Founded in 2023 and already profitable with $2.5M ARR (targeting $10M by mid-2026), the company is looking for its first Forward Deployed Engineer. someone who thrives at the intersection of customer success, engineering, and systems design. You'll work closely with customers to deploy, optimize, and troubleshoot the platform in production environments while shaping the product roadmap based on real-world insights. You'll report directly to the CTO and operate as a key technical partner to clients, ensuring smooth integrations, rapid debugging, and performance tuning across infrastructure, backend, and frontend layers. Expect deep technical ownership, customer-facing impact, and the chance to build the foundation of a company defining AI interoperability. If you want to join a tight-knit, high-caliber team where your code and customer instincts both matter, whilst continuing to develop your skillsets The Role Deploy, configure, and optimize customer environments for reliability, performance, and scalability. Troubleshoot and resolve complex full-stack issues across infrastructure, backend (FastAPI/Python), and frontend (React/Next.js). Collaborate directly with customer engineering teams on implementations, migrations, and custom integrations. Act as the technical voice of the customer - building tools, contributing fixes, and feeding insights back to product and engineering. The Person Experience with production-grade full-stack systems. Strong in Python and FastAPI; React/Next.js and TypeScript familiarity a plus. Hands-on problem solver who enjoys debugging, building, and iterating directly with users. Strong communicator who thrives in dynamic, customer-facing environments. Excited to work in an early-stage, high-autonomy and feedback focused culture. Happy to work on-site in San Francisco