Project Engineer Jobs

About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the Role Supabase serves millions of developers on a shared, multi-tenant platform. At that scale, abuse is not an edge case — it is a continuous operational reality. Credential stuffing, free-tier compute abuse, API scraping, malicious project provisioning, and exfiltration attempts occur every day. We need someone who treats detection and response as a craft, and who can close the loop between signal, triage, and automated remediation. You will work directly with our Anti-Abuse Lead and embed with Platform Security and Product Security to build and operate the systems that protect Supabase and its customers from abuse at scale. This role sits inside the security org but operates at the intersection of security engineering, data analysis, and platform operations. This role provides follow-the-sun coverage alongside our existing Anti-Abuse and Platform Security team members. It is fully remote, with a strong preference for candidates based in APAC or the West Coast of the Americas . What You’ll Own Abuse Detection & Signal Triage Monitor Signals: Monitor inbound abuse signals across platform telemetry, HackerOne reports, support queues, and internal alerting pipelines. Triage End-to-End: Triage abuse cases end-to-end, assessing severity and blast radius, classifying actor types, and routing to the correct response track. Queue Ownership: Own the abuse case queue with clear SLAs to ensure no active threats age out without a definitive decision. Pattern Recognition: Identify complex patterns across distinct cases that point toward coordinated campaigns or emerging attack techniques. Incident Response & Remediation Lead Incidents: Lead response efforts for active abuse incidents, coo

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role We are seeking an experienced Software Engineer to join a newly-formed team focused on developing and deploying advanced AI systems to the tactical edge. This role involves training, evaluating, and deploying LLM agents to edge hardware for interfacing with sensors, effectors, and drone systems. This project is in support of multiple customers in the defense sector that are looking for untethered AI solutions that can be rapidly deployed downrange on hardware with limited capabilities. As a part of this team, you will build and deploy specialized models and agents that can run on tactical edge hardware, working alongside other experts in AI, LLMs, and systems to shape solutions that redefine complex tactical defense scenarios.

About the role AI Teammates are agents that work like actual team members in Asana — they triage bugs, respond to requests, draft project briefs, conduct research, and handle complex knowledge work across workflows. Unlike chatbots, Teammates are shared team resources that build memory and context across all executions, getting smarter as your team works with them. Currently live with Fortune 500 customers, AI Teammates represent Asana's shift from tracking work to getting work done. We're looking for a Senior Engineering Manager to lead the AI Teammates Platform team — the core engineering team responsible for the execution engine and capability layer that powers AI Teammates. You'll manage a senior team of approximately eight engineers (ICs up to L6) building the systems that determine how AI Teammates reason, execute, and improve over time — from model integration and rollout, to proactive agent behavior, to the developer platform that enables other Asana teams to build on top of AI Teammates. This is a rare opportunity to be at the forefront of Agentic AI. You'll work directly with model partners, lead the core team behind a new applied AI product introduction, and help define how AI agents collaborate with humans in a work management platform used by millions of teams worldwide. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. About Asana AI Asana AI is the company's number one priority. We're building the future of human/AI collaboration — going be

We're looking for a Tech Lead to own technical direction for Asana's Platform Reliability Engineering team. This role is for someone who thrives as a technical leader without needing to take on people management. At Asana, Tech Leads own technical execution, architecture, and long-term engineering strategy. You'll lead complex projects, make key technical decisions, and set the standard for engineering quality. You'll guide ICs through technical design and project leadership, and partner with teams across the company. An Engineering Manager handles people leadership – you own the technical direction. Your team will build core platform systems like load shedding, rate limiting, circuit breakers, and traffic controls that protect Asana under real-world load. This is hands-on work – you'll spend significant time designing and building systems alongside the team, while partnering with other platform teams to make reliability something that's built in, not bolted on. Our tech stack includes: AWS, Kubernetes (EKS), MySQL (RDS), OpenSearch, DynamoDB, Redis, Terraform, Datadog, TypeScript, Scala, Go, and Python. (Yeah, we know this sounds like buzzword bingo – but we want this post to actually show up in your searches.) We're especially interested in people who think like backend engineers but obsess over failure modes, capacity planning, and building systems that degrade gracefully under pressure. This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements. We offer a Contract of Employment (UoP) for our employees in Poland. What You'll Achieve: Set technical direction for the team, making sure we're solving the right problems in the right way. Design and build core platform systems – load shedding, ci

Who We Are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies — from the world's largest enterprises to the most ambitious startups — use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the Team The Datalake team builds and maintains Stripe's foundational data access and governance infrastructure — the paved path for safe, fast, and compliant access to Stripe's critical big data assets. We serve developers, data engineers, analysts, ML and AI teams, security teams, and business users across the company. The team is in the middle of a significant architectural transition as Stripe grows. We are making Stripe's data lake a first-class citizen of the modern data ecosystem to support our growing scale and diverse workloads. What Makes This Role Compelling Foundational infrastructure with broad reach: The Datalake team's systems sit in the critical path of nearly every data workload at Stripe. Decisions affect petabytes of data, hundreds of production pipelines, and every engineering team that builds on Stripe's data lake. Active, high-stakes architectural transformation: The team is executing a multi-year migration to modern, OSS-aligned solutions — a technically deep project with real architectural choices at each step, including API design, compute engine integration, authorization model, and per-table credential vending. Active, high-stakes, OSS-aligned architectural transformation: You will lead a multi-year migration to modern, open-source solutions like the Apache Iceberg REST Catalog. This is a technically deep project involving critical architectural choices at each step, from API design and compute engine integration

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Our internship program will provide an opportunity to work on meaningful products that will grow the GDP of the internet. Through the internship, you will work with many systems and technologies, gain experience in systems design and testing, and have opportunities to present your work to your team and the wider org. Each intern has a dedicated intern manager, and every project is part of the team’s roadmap and will directly help Stripe’s mission. What you’ll do Every internship at Stripe centers around a real, legitimate project that our customers urgently need, touching many parts of our operations and stack. We will support you in shipping it. Yes, you will actually ship it. Some recent projects include rebuilding our statistics aggregation service, building new service discovery systems, and many user facing projects like making it easy to understand error messages on Stripe Checkout. As a Stripe intern, you'll be tackling important projects to increase global commerce, while working alongside exceptional people who insist on doing their best work. You’ll learn from people with high standards who are great at inspiring others to do more and go further. We value technical and personal growth, and see our internship program as a vehicle to foster both. Responsibilities Write software that will be used in production, and has meaningful impact to Stripe Give and receive technical feedback through code reviews or design discussions Collaborat

About the Team We’re hiring software engineers to make OpenAI’s Model Performance teams more productive. These teams work on the systems, tooling, and infrastructure that help improve model performance across OpenAI’s training and inference workloads at frontier scale. About the Role We’re looking for an autonomous, high-ownership developer productivity engineer who cares deeply about helping other engineers move faster, safer, and with more confidence. This role will sit within OpenAI’s Model Performance organization, contributing to developer infrastructure, CI systems, testing workflows, tooling, and broader performance infrastructure efforts. There is also a strong opportunity to contribute to the Triton project and help improve the systems that support performance-critical engineering work across OpenAI. In this role you will: Improve development workflows for engineers working on model performance infrastructure Design and improve CI/CD, release, validation, and testing pipelines Build and maintain tools that improve reliability, iteration speed, and engineering confidence Partner closely with engineers to identify friction in testing, debugging, deployment, and development workflows Contribute to infrastructure efforts that support performance-critical training and inference systems Help improve developer experience across Python-heavy codebases and performance-oriented infrastructure Work in a high-context, ambiguous environment where ownership and good judgment matter You might thrive in this role if: You are motivated by enabling the people around you and helping engineers do their best work You have strong experience with CI/CD, developer infrastructure, testing systems, tooling, or build/release workflows You are highly collaborative, empathetic, and comfortable partnering deeply with technical teams You are strong in Python and enjoy building reliable, scalable developer tools and infrastructure You have experience improving large-scale engineering work

About the Team Our team analyzes inference stack performance across the application, model, and fleet layers to identify bottlenecks and drive faster, cheaper inference. We combine systems profiling, benchmarking, and analysis to understand where time and cost are spent, then turn that understanding into performance optimizations and models that project performance and capacity needs for future launches. About the Role In this role, you will model inference performance across application, model, and fleet layers with higher fidelity. You will build cost-to-serve estimates from microbenchmarks and create tools that help cross-functional teams reason about latency, capacity, utilization, and cost tradeoffs. In this role, you will Build and refine performance models that translate microbenchmark results into cost-to-serve estimates. Analyze inference workloads end to end across applications, models, and fleet infrastructure. Enhance tooling to identify bottlenecks across layers for latency and throughput. Partner with other teams to turn performance insights into concrete improvements and project how future changes affect inference. You might thrive in this role if you: Enjoy reasoning from first principles about distributed systems, model inference, and hardware efficiency. Are comfortable working across abstraction layers, from application behavior to kernels, accelerators, networking, and fleet scheduling. Have deep expertise with performance profiling, benchmarking, analysis, and optimization. Enjoy collaborating with engineering and research teams to improve real production systems. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve o

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Platform Engineer An individual contributor who will serve as a hands-on technical member of the SMAI Platform Engineering team. In this role, you will help build, operate, and maintain the platforms that power Micron's analytics and AI workloads. You will contribute to platform reliability and scalability through day-to-day engineering, collaborative problem solving, and close partnership with solution architects, project teams, and multi-functional partners. Responsibilities: Collaborate with global platform teams, customers, partners, and vendors to deliver effective technical solutions. Know the latest platform roadmaps, emerging technologies, and new service offerings; evaluate and recommend adoption opportunities. Partner with solution architects to design, implement, and optimize solutions across IaaS, PaaS, SaaS, and Infrastructure as Code (Terraform). Document findings, operational procedures, guidelines, and reusable patterns while providing feedback to vendors and internal teams. Deliver high-quality platform support by managing customer requests, maintaining service standards, and implementing controlled platform adjustments. Monitor platform performance, observability, costs, and resource utilization to identify optimization opportunities and improve reliability. Collaborate with multi-functional teams to ensure seamless operations, scalable architectures, and automation, including AI-driven business solutions. Implement and m

Software Quality Engineer Description - This role is responsible for maintaining the quality, reliability, and performance of software applications throughout the development lifecycle. The role identifies and rectifies defects, ensures adherence to established quality standards, and contributes to the overall improvement of the software development process. The role involves various activities aimed at preventing and detecting issues, thereby enhancing the end user experience. The role creates and executes comprehensive test plans, test cases, and test scripts based on project specifications. *Onsite in Ft. Collins 5-days a week Responsibilities • Executes established test plans and protocols for assigned portions of code for end-user applications, systems software, and firmware running on hardware, local, networked, and Internet- based platforms; identifies, logs, and debugs assigned issues. • Perform Functional and Solution Testing of Video/Collaboration Software • Additionally, codes and programs test scripts, automation, and integration activities based on specific test requirements. • Conducts functional, integration, regression, and performance testing to validate software functionality. • Automates testing processes using appropriate tools and frameworks to improve efficiency and repeatability. • Monitors and enforces adherence to established coding standards, design guidelines, and best practices. • Monitors software performance and conducts load and stress testing to identify bottlenecks and performance issues. • Prepares and maintains QA-related documentation, including test plans, test matrices, and testing reports. • Develops understanding of and relationship with internal and outsourced development partners on software applications design and development. • Participates as a member of project

Software Quality Engineer Description - This role is responsible for maintaining the quality, reliability, and performance of software applications throughout the development lifecycle. The role identifies and rectifies defects, ensures adherence to established quality standards, and contributes to the overall improvement of the software development process. The role involves various activities aimed at preventing and detecting issues, thereby enhancing the end user experience. The role creates and executes comprehensive test plans, test cases, and test scripts based on project specifications. *Onside in Ft Collins 5-days a week Responsibilities • Executes established test plans and protocols for assigned portions of code for end-user applications, systems software, and firmware running on hardware, local, networked, and Internet- based platforms; identifies, logs, and debugs assigned issues. • Perform Functional and Solution Testing of Video/Collaboration Software • Additionally, codes and programs test scripts, automation, and integration activities based on specific test requirements. • Conducts functional, integration, regression, and performance testing to validate software functionality. • Automates testing processes using appropriate tools and frameworks to improve efficiency and repeatability. • Monitors and enforces adherence to established coding standards, design guidelines, and best practices. • Monitors software performance and conducts load and stress testing to identify bottlenecks and performance issues. • Prepares and maintains QA-related documentation, including test plans, test matrices, and testing reports. • Develops understanding of and relationship with internal and outsourced development partners on software applications design and development. • Participates as a member of project t

Become a part of our caring community The Senior Software Engineer codes software applications based on business requirements. The Senior Software Engineer work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. The Senior Software Engineer standardizes the quality assurance procedure for software. Oversees testing and debugging and develops fixes. Researches complaints and makes necessary adjustments and/or recommendations to resolve complex software related issues. Begins to influence department's strategy. Makes decisions on moderately complex to complex issues regarding technical approach for project components, and performs work without direction. Exercises considerable latitude in determining objectives and approaches to assignments. Collaborates with Business partners and Solution and Application architects in designing software solutions Use your skills to make an impact Required Qualifications Bachelor's Degree in Computer Science or related field 5 or more years of experience designing, developing, and testing of software applications and/or infrastructure Must be passionate about contributing to an organization focused on continuously improving consumer experiences 5+ years’ experience with Workday integration techniques including RaaS, API, Cloud Connector, and EIB 4+ years’ experience collaborating with HR, Talent, Payroll, Benefits, and Learning teams 3+ years’ experience with Workday architecture and data structures 3+ years’ experience working with protected information 2+ years’ experience implementing Workday security including SSO and MFA Preferred Qualifications Master's

Data Engineer-6336 itD is seeking an experienced Data Engineer to build and modify high-complexity data pipelines, monitoring, and alerting systems supporting a legal-focused infrastructure team. The ideal candidate will bring deep expertise in SQL, Python, ETL/data pipelines, and data warehousing , along with a proven track record of leading complex, cross-functional data engineering initiatives from planning through delivery. Location: Remote, with preference for candidates based in California and ideally the Bay Area. Candidates open to occasional onsite work in San Francisco should indicate this in their skills matrix. Contract: 3Months Pay Rate: depending on experience and market rate. We provide comprehensive medical benefits, a 401k plan, paid holidays, and more. Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship. Responsibilities Build and modify high-complexity ETL and data pipelines to efficiently extract, transform, and process data from large-scale datasets. Develop and maintain monitoring and alerting systems that proactively identify data, infrastructure, and workflow issues. Design data warehousing solutions and optimize queries and pipelines for large-scale data processing. Collaborate with attorneys, data scientists, engineers, and other technical and non-technical stakeholders to understand data requirements, sources, dependencies, and timelines. Lead end-to-end data engineering initiatives across cross-functional teams, including planning, documentation, stakeholder coordination, system design, and execution. Identify potential data and system issues early and implement solutions that improve reliability, efficiency, and operational visibility. Communicate technical concepts and project status clearly and concisely to both technical and non-technical audiences. Internal Responsibilities Attend regular internal practice community meetings. Collaborate with your itD practice team on indu

Technical Project Manager itD is seeking a Technical Project Manager to drive the delivery of legal and privacy approval workstreams that support business marketing technology and data-integration launches. The ideal candidate will bring deep experience in program/project management, cross-functional coordination, legal/privacy/compliance workflows, and evidence-driven delivery , with a track record of keeping multiple workstreams on schedule against fixed launch dates. Location: Remote; Pacific Time preferred, but not required. We provide comprehensive medical benefits, a 401k plan, paid holidays, and more. Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship. Responsibilities Drive multiple legal and privacy risk assessments through review and approval in parallel, prioritizing true launch blockers against fixed timelines. Scope assessments with Legal and Privacy partners and adjust scope as needed to protect critical-path delivery dates. Gather, validate, and coordinate required evidence and documentation across engineering, data, business, Legal, and Privacy stakeholders. Manage assessment intake, review, remediation, and approval cycles end to end, following up on open items and pending reviews. Publish recurring status updates for senior stakeholders with clear ownership, next steps, timelines, and risks for each workstream. Escalate blockers and timeline risks early, providing a recommended path forward and coordinating the technical consultations needed to resolve gaps. Navigate a large, matrixed organization to identify and mobilize the appropriate subject-matter experts, reviewers, and process owners while documenting decisions and identifying process improvements. Internal Responsibilities Attend regular internal practice community meetings. Collaborate with your itD practice team on industry thought leadership. Complete client case studies and learning material, including blogs and media materi

Who We Are Every organization runs on intelligence: years of accumulated knowledge, decisions, and context. As AI takes on more of that work, companies face a choice: rent that intelligence from vendors who keep the data, the context, and the results, or own it. OpenTeams exists to make ownership possible. Founded by Travis Oliphant, creator of NumPy and SciPy, and built by people with deep roots across the open-source ecosystem, including NumPy, SciPy, PyTorch, and Jupyter, we help enterprises and governments build AI they control, govern, and evolve themselves. If that sounds like your kind of work, we'd like to meet you. Senior Infrastructure Engineer - AI/ML Platform Location: U.S - Remote Work Authorization: U.S. citizenship required Clearance: An active clearance is not required at the time of hire. Candidates must be able to obtain and maintain a Secret security clearance, which includes a federal background investigation. Salary Range: $85,000 - $120,000 USD, dependent on experience level and location About the Role We're looking for a Systems Engineer to join our platform support team. This is a role for someone early in their infrastructure career who wants real ownership of production systems and is willing to earn it by being the person others can count on. The work runs across two streams. Internal Platforms covers the systems OpenTeams itself runs on — identity, cloud, internal applications, our website. You own that surface end to end, which means you're the first responder when something breaks and the one who fixes the underlying cause so it stops happening. Project Support means backing up our infrastructure engineers on the platforms we build and operate for customers, including government programs. Both streams start at the front line. That's the entry point, not the destination - as you build real context, the scope grows toward environment builds, deployment configuration, and eventually owning pieces of a platform outright. The two sides