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Planning Engineer Jobs

2,258 active opportunities · Updated for October 2026

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Explore current planning engineer jobs. Use filters to narrow by work mode, employment type, experience and date posted.

Manufacturing Engineer (Experienced or Senior) Company: The Boeing Company The Boeing Test and Evaluation (BT&E) Test Operations & Engineering (TO&E) Instrumentation Data System Installation Design team located in Berkeley, MO is seeking Manufacturing Engineers to provision Flight Test Instrumentation hardware on multiple aircraft platforms. On this team, a Manufacturing Engineer (Assembly & Installation) has the primary responsibility for the fabrication and installation of the mechanical and electrical hardware required to install a flight test data system. Design-Build Flight Test Manufacturing Engineers work the entire production cycle from review of engineering, manufacturing plan authorship, fabrication sourcing (inside and outside of Boeing) and detail planning, and continuing on through installation planning and shipside support. Manufacturing Engineers are owners of the build plan and ensure compliance to design configuration, build plan, and process requirements. Manufacturing Engineering performs Design for Manufacturing and Assembly (DFMA) analysis and develops an integrated build plan consisting of work instructions for assembly/fabrication, kitting, tooling, inspection requirements, and other outputs to ensure fabrication meets design, test, and program requirements. BT&E is currently hiring for a broad range of experience levels including Experienced and Senior level Manufacturing Engineers. Position Responsibilities: Synthesis of test hardware & instrumentation requirements in support of flight test Review of design models and drawings, creating/reviewing redlines and coordinating with design to incorporate updates Authorship of manufacturing plans to facilitate build

procurementrecruitment
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EI
Eltropy Inc.
📍 India• Full-time
27 days ago

Staff Backend Engineer- Tech Lead |100% Remote | US- SaaS Fintech (Product based firm) Role Responsibilities: Design, develop, and maintain systems on the payments team with primary focus on backend Collaborate with cross-functional teams—product, and design Participate in sprint planning, feasibility assessments, and code reviews Write clean, maintainable, and testable code in Focus on scalability, security, performance, observability, auditability, testability and long-term maintainability Contribute to improving SDLC processes and engineering best practices Troubleshoot production issues and deliver timely resolutions What We're Looking For: 8-12 years of backend engineering experience with a high agency mindset Deep expertise in any of the backend languages (Go or Ruby preferred) Solid grasp of payments domain Proven experience working in Agile/Scrum environments Strong API development skills (RESTful architecture) Excellent problem-solving and communication abilities AI fluent Bonus Points For: (Good to have skills) Experience with payment gateway integrations Familiarity with PCI compliance and secure coding practices Skills in performance optimization (DB, code, etc.) Exposure to GCP or other cloud platforms

gcprestagile
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27 days ago

Roles and Responsibilities Develop and maintain web applications using ReactJS Write well-designed, efficient code Translate product requirements & user stories Work closely with UI/UX team to translate the design into actual implementation Participate in discussion, planning, and brainstorming with teammates and stakeholders to achieve project goals Maintain code and write unit tests to ensure the product is of the highest quality Qualifications & Experience Bachelor’s in computer science or relevant fields 1+ years of relevant experience in developing front-end for web based products. Experience in Javascript (ReactJS / Redux), HTML, CSS, SCSS, Webpack, TypeScript Building advanced responsive layouts. Strong sense of ownership Attitude for getting things done Experience using RESTful APIs Proficient with version control systems, especially GIT, a plus Will be involved in developing any enterprise systems like eCommerce, manufacturing, supply chain, etc.,

javascripttypescriptjava
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27 days ago

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Role Overview As the Okta Research & Design (ORD) Jira Owner & Administrator , nested within the Technical Program Management (TPM) organization, you will define and execute the strategy for how ORD plans, tracks, and reports on engineering work within the full toolchain of Atlassian Jira, Jira Advanced Roadmaps (Plans), Confluence, Rovo, and AI integrations. In this role, you act as a critical bridge between product & technical leadership, agile teams, and cross-functional business units — translating methodology, best practices, and process frameworks into practical workflow improvements that accelerate delivery and reduce manual overhead for a 1,000+ person engineering, product, and design organization. By optimizing tooling configurations, automating reporting, and eliminating fragmented management processes, you will directly accelerate ORD’s developer velocity and strengthen operational efficiency. Core Responsibilities 1. Platform Ownership & Strategic Tooling Direction Strategic Vision: Define, implement, govern an AI-led strategy for utilizing Jira for product planning, tracking, and reporting tooling that supports end-to-end portfolio tracking from high-level corporate objectives down to sprint-level stories. E2E Ecosystem Management: Complete ORD ownership of the toolchain (Jira, Jira advanced Roadmaps, AI integrations, Confluence), overseeing architecture, schema updates, workflow management, screen/notification schemes, cu

sqlawsci/cd
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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. The Site Inventory Control (SIC) team is at the forefront of our ambitious expansion efforts. SIC plays a pivotal role in connecting wafer starts, inventory strategy, cycle time management, output delivery, and factory execution. As a Senior Engineer for Fab 4 HVM SIC, you will be the operational hub, driving alignment between Technology Development (TD), High Volume Manufacturing (HVM), Probe, Supply Chain, Planning, and Engineering organizations. This outstanding opportunity allows you to lead the charge in optimizing inventory and cycle time performance while ensuring flawless factory execution! We are looking for individuals who thrive on collaboration and tackling complex operational challenges. You'll have the chance to bring to bear data to drive decisions and implement AI-enabled solutions to improve speed, accuracy, and decision-making. Responsibilities: Lead multi-functional initiatives for wafer starts, inventory, cycle time, and output performance to support business commitments Develop and improve inventory control methodologies, business processes, and operational metrics and recommend corrective actions Develop and implement inventory, priority, and capacity strategies for New Product Introduction (NPI) programs Foster coordination between Technology Development, High Volume Manufacturing, Supply Chain, Planning, and Engineering teams to optimize inventory positions and factory flow Identify and mitigate constraints, risks, and op

pythonsqlai
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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. Responsibilities and Tasks: • Establish and improve process condition and technology. • Upgrade process capability and reduce production cost. • Establish and modify process management projects. • Set up process parameters for a variety of semiconductor equipment. • Evaluation, promotion and planning of new equipment / materials. • Abnormal analysis and improvement. • Leverage AI-enabled and data-driven tools to support equipment troubleshooting, predictive analysis, process optimization, documentation generation, and operational excellence initiatives. • Apply AI-assisted solutions to improve problem-solving efficiency, reduce cycle time, and accelerate continuous improvement activities. Role Requirement / Skills / Experience • Bachelor’s degree or above in Engineering (Mechanical, Electrical, Chemical, Material Science, or related field) • 2&#43; years of experience in semiconductor process engineering or manufacturing environment is preferred (fresh graduates are welcome for entry-level roles) • Familiar with semiconductor process flow and manufacturing equipment. • Basic knowledge of statistical analysis and problem-solving methodologies (e.g., SPC, DOE, RCA). • Ability to analyze process data and identify improvement opportunities. • Demonstrated ability and willingness to leverage AI-enabled tools and technologies to enhance productivity, data analysis, decision-making, collaboration, and continuous improvement. <p style="text-align:inhe

artificial intelligenceairecruitment
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NVIDIA is the world leader in GPU Computing. We are passionate about markets including gaming, automotive, professional vision, HPC, datacenters and networking in addition to our traditional OEM business. NVIDIA is also well positioned as the ‘AI Computing Company’, and NVIDIA GPUs are the brains powering modern Deep Learning software frameworks, accelerated analytics, modern data centers, and driving autonomous vehicles. We have some of the most experienced and dedicated people in the world working for us. If you are dedicated, forward-thinking, and if working with hard-working technical people across countries sounds exciting, this job is for you. We are now looking for a Software QA Test Development Engineer, you will collaborate with multi-functional groups. SWQA test developer engineer at NVIDIA is responsible for test planning, execution, and reporting, you will also write scripts to automate testing, design and develop tools for QA team, or develop integration tests for validation, so QA engineer can improve productivity or optimize test plan. As a SWQA test developer, you must identify weak spots and constantly design better and creative test plans to break software and identify potential issues. You will have a huge impact on the quality of NVIDIA's products. What You’ll Be Doing Analyze requirements and design test matrices covering functionality, performance, and edge cases. Develop test plans and cases; build and maintain automated test suites (API / UI / CLI / E2E) in Python. Leverage AI-powered tools and agentic workflows to accelerate test generation, triage, and root cause analysis. Manage the full bug lifecycle — filing, reproduction, and driving multi-functional collaboration to resolution. Reproduce and verify customer-reported issues to ensure quality before release.

pythondockerkubernetes
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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. Responsibilities and Tasks: • Establish and improve process condition and technology. • Upgrade process capability and reduce production cost. • Establish and modify process management projects. • Set up process parameters for a variety of semiconductor equipment. • Evaluation, promotion and planning of new equipment / materials. • Abnormal analysis and improvement. • Leverage AI-enabled and data-driven tools to support equipment troubleshooting, predictive analysis, process optimization, documentation generation, and operational excellence initiatives. • Apply AI-assisted solutions to improve problem-solving efficiency, reduce cycle time, and accelerate continuous improvement activities. Role Requirement / Skills / Experience • Bachelor’s degree or above in Engineering (Mechanical, Electrical, Chemical, Material Science, or related field) • 2&#43; years of experience in semiconductor process engineering or manufacturing environment is preferred (fresh graduates are welcome for entry-level roles) • Familiar with semiconductor process flow and manufacturing equipment. • Basic knowledge of statistical analysis and problem-solving methodologies (e.g., SPC, DOE, RCA). • Ability to analyze process data and identify improvement opportunities. • Demonstrated ability and willingness to leverage AI-enabled tools and technologies to enhance productivity, data analysis, decision-making, collaboration, and continuous improvement. <p style="text-align:inhe

artificial intelligenceairecruitment
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Mongodb
📍 New York• $106K – $209K/yr
1mo ago

The worldwide data management software market is massive. At MongoDB we are transforming industries and empowering developers to build amazing apps that people use every day. We are the leading modern data platform and the first database provider to IPO in over 20 years. Join our team and be at the forefront of innovation and creativity. MongoDB is seeking a Software Engineer 3 to join the Atlas Clusters Platform team. The team is responsible for building MongoDB Atlas, our database as a service offering and fastest growing product. Atlas allows users to deploy fault-tolerant, secure, globally distributed MongoDB clusters in just minutes. The Atlas Clusters Platform team develops the foundational orchestration platform behind MongoDB Atlas. Our systems drive cluster planning and execution, evolve the Atlas control plane toward service-oriented architecture, and provide critical infrastructure that help Atlas run safely and efficiently across cloud environments. We are looking to speak to candidates who are based in New York City for our hybrid working model. What you’ll do Build and design new features for MongoDB Atlas Contribute to and lead complex technical projects Work closely with product and design teams, considering the user’s perspective while building technical solutions Work with customers and support engineers to fix issues Collaborate with team members to develop our codebase, best practices, and design principles Learn from and mentor other team members We’re looking for someone who Has at least 3 years of professional software development experience Is skilled at writing large-scale, distributed backend systems in a compiled language (Java, C#, Go, etc.) Is comfortable working across the stack of a modern web application (e.g. React, TypeScript, Kubernetes) Has experience with at least one major cloud provider technology (AWS, Azure, GCP) Has led the launch of a new feature and maintained it in production Is eager to solve tough problems Has excellent

typescriptjavareact
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Mongodb
📍 New York• Full-time• From $106K/yr
1mo ago

Join the MongoDB Networking & Observability team and help build the core of a distributed database! Our team focuses on creating and enhancing components which facilitate communication between distributed processes and make these processes, and their communication, easily observable. Networking Observability’s responsibilities include improving MongoDB networking, improving the efficiency of resource utilization, and building low-overhead observability features. Our team includes engineers located in New York City and fully remote engineers. We operate close to the bottom of the stack, and have a lot of influence over the availability, performance, and robustness of our open source database. Recently, we’ve improved connection handling, explored new networking architectures, and integrated OpenTelemetry to make issues easier to diagnose and connect MongoDB to modern observability tools. We are planning to further improve our networking’s stack performance, availability and scalability as well as further enhance our observability stack using open observability frameworks. Are you excited to help the MongoDB engineering team build a better database? We are! Join us today, and we can build a faster, more reliable, exceptionally observable, database system together. This role can be based out of our New York City office or remotely within the United States and Canada. Candidate Profile 3+ years of experience building distributed systems Passionate about delivering and deploying a product with cross-team stakeholders Solid computer science fundamentals, with strong competencies in data structures, algorithms, and software design/architecture Hands-on experience with building production-level code. Experience in C++ is required Interest in furthering their knowledge of networking, observability and how computer architecture and internals impact the availability of SaaS Solid verbal and written communication skills and highly motivated to collaborate with colleagues Po

mongodbawsazure
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Mongodb
📍 Alberta• Full-time• From C$122K/yr
1mo ago

Join the MongoDB Networking & Observability team and help build the core of a distributed database! Our team focuses on creating and enhancing components which facilitate communication between distributed processes and make these processes, and their communication, easily observable. Networking Observability’s responsibilities include improving MongoDB networking, improving the efficiency of resource utilization, and building low-overhead observability features. Our team includes engineers located in New York City and fully remote engineers. We operate close to the bottom of the stack, and have a lot of influence over the availability, performance, and robustness of our open source database. Recently, we’ve improved connection handling, explored new networking architectures, and integrated OpenTelemetry to make issues easier to diagnose and connect MongoDB to modern observability tools. We are planning to further improve our networking’s stack performance, availability and scalability as well as further enhance our observability stack using open observability frameworks. Are you excited to help the MongoDB engineering team build a better database? We are! Join us today, and we can build a faster, more reliable, exceptionally observable, database system together. This role will be based remotely in Canada. Candidate Profile 3+ years of experience building distributed systems Passionate about delivering and deploying a product with cross-team stakeholders Solid computer science fundamentals, with strong competencies in data structures, algorithms, and software design/architecture Hands-on experience with building production-level code. Experience in C++ is required Interest in furthering their knowledge of networking, observability and how computer architecture and internals impact the availability of SaaS Solid verbal and written communication skills and highly motivated to collaborate with colleagues Position Expectations Understand and improve the current funct

mongodbawsazure
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This role is responsible for managing the maintenance and operational integrity of rail track systems, including the management of resources, equipment, and materials in accordance with established plans and standards. This role also includes ensuring the timely execution of tasks to maintain track availability, contributing to budget planning, and upholding safety and cleanliness standards. Additionally, this role will be involved in reporting, documentation, compliance with railway audits, and the development of maintenance procedures. Source: Adani Group | Job ID: 33140

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Asana
📍 San Francisco• Full-time• $194K – $220K/yr
1mo ago

The IT Systems Engineering team builds the systems and processes that keep Asana running: endpoint management, identity, and the enterprise applications every Asana employee uses every day. As Manager of IT Applications and Client Platform Engineering, you’ll lead four engineers: two on client platform, two on applications. You report directly to the Head of IT Systems Engineering. This is a player/coach role: you set direction, run planning, and step in on escalations and architecture decisions while your engineers own most of the day-to-day. Your primary depth is in endpoint engineering; you have enough SaaS administration background to lead the apps side without micromanaging it. We’re looking for someone who knows endpoint work deeply and is ready to grow as a manager. Your title history matters less than technical foundation and how you work with people. 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. What you’ll achieve Lead and develop your team. Manage and mentor four engineers (two on CPE, two on Apps). Set priorities, clear blockers, and help each person grow. Own the client platform program. Set strategy and lead execution for Asana’s endpoint fleet: macOS, Windows, and mobile. This means MDM infrastructure, zero-touch deployment, software catalog, and OS lifecycle. We’re primarily an Apple shop with a growing Windows footprint. Strengthen endpoint security. Work with the Corporate Security team to harden our endpoint posture, respond to incidents, and build initiatives that connect security priorities and endpoints. Oversee the applications engineering function. Your Apps engineers manage the

restaigo
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Come join and lead the Server Ingress Security team, where we are rearchitecting MongoDB Server’s ingress networking to make MongoDB clusters even more secure. This new team is building the Atlas Network Protection layer, a set of performant, security-critical services that harden MongoDB's pre-authentication attack surface and provides the ability to respond rapidly to emergent threats. We are looking for a talented Lead Engineer to join the team and be founding members, where you will play a crucial role in our multi-year roadmap. Our team champions a strong culture of inclusivity, diversity, and collaboration, and lives MongoDB cultural values every day – we value intellectual curiosity and honesty, and building together in an environment that prioritizes collaboration over competition. If you want to lead a fast-growing team that applies security and systems engineering fundamentals to protect a popular database at scale, join us! We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model. Candidate Profile 3+ years of experience managing a team of software engineers, including hiring, performance and growth management, compensation planning, and mentoring You have 8+ years of experience building production-quality systems software with large backend/compiled codebases, ideally in Rust. Bonus points for experience with performance profiling, network protocols, TLS, and connection management You have strong technical judgment that you use to effectively guide engineering decisions in security-sensitive or networking-adjacent domains You put the customer first and don't hesitate to cross team boundaries in search of the right solution Solid experience in designing, writing, testing, maintaining, and operating mission-critical software systems Bonus points Professional or advanced academic expertise in the domains of security or networking You enjoy coaching, career development, and creating growth opportunities to help your

mongodbawsazure
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About the Team ChatGPT relies on a large and growing GPU fleet to serve inference workloads reliably and efficiently. Our team builds the software, tooling, and operational systems that help manage this fleet at scale. We work across production engineering, distributed systems, capacity management, and operational automation to improve reliability, reduce manual work, and make better use of available compute. About the Role We are looking for a software engineer with experience building or operating large-scale production systems. You will develop the systems that help manage the GPU fleet powering ChatGPT, including tooling for fleet health, capacity planning, operational automation, and incident response. You will work closely with infrastructure, research, and product engineering teams to improve reliability, developer productivity, and compute utilization. This role is a good fit for engineers who enjoy solving complex operational problems and building software that makes production infrastructure easier to run at scale. In This Role, You Will Build software and internal tools to manage large-scale GPU infrastructure supporting ChatGPT inference. Develop systems for capacity planning, fleet health monitoring, and resource utilization. Automate operational workflows, including incident detection, diagnosis, and response. Identify and address bottlenecks affecting fleet reliability, scalability, and performance. Partner with infrastructure, research, and product engineering teams to improve the compute platform. You Might Thrive in This Role If You Have experience operating large-scale production infrastructure, GPU clusters, or other compute-intensive distributed systems. Have a background in production engineering, site reliability engineering, infrastructure engineering, or platform engineering. Have built software that automates operational workflows and reduces manual work. Have worked with distributed infrastructure, cluster orchestration, or large-scale int

pythonawsrest
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