Jobiba hiring network

Engineering Group Lead Jobs

10,000 active opportunities · Updated for October 2026

Fresh results

15 shown

Explore current engineering group lead jobs. Use filters to narrow by work mode, employment type, experience and date posted.

M
4mo ago

With a strong security engineering background, you’re looking for a role that gives you the freedom to increase MongoDB’s resonance with customers by strengthening our core database products. You’re passionate about solving hard security engineering problems while putting a strong emphasis on customer experience, leveraging your own significant experience. You enjoy collaborating with different teams to innovate and implement pragmatic solutions. Who We Are The MongoDB Product Security organization is a diverse collection of individuals working together to scale MongoDB’s security, both security of the products themselves and the security features we offer to customers. The team is responsible for the MongoDB Database Server ( Community and Enterprise editions). The MongoDB Product Security organization works with software engineers to design, implement, and operate systems in a manner that protects customer data. It is a multidisciplinary team that covers product, software, cloud, infrastructure, and operational security concerns. The team does the following: Build a developer driven security program where there is tight integration with engineering artifacts, process, and tooling. Use software architecture and coding patterns to reduce the impact of security issues. Be security subject matter experts for our tech stack and products. We are looking to speak to candidates who are based in Dublin for our hybrid working model. Responsibilities You will take ownership, define strategy, and drive improvement for parts of our program such as fuzzing, threat modeling, secrets management, or container security Advocate for and lead complex security projects from inception through completion Drive architecture, patterns, and processes across Server Engineering that make security the easiest path Partner closely with engineering teams to design and implement security controls across our software and systems Research and POC new attacks against our systems. Plan and per

mongodbawsazure
View job →
M
MongoDB
📍 Gurugram• Full-time
5mo ago

The Infrastructure Engineering team is responsible for building and maintaining a self-service internal development platform that enables MongoDB engineering teams to reliably deploy and operate their own production services and products. We work with numerous engineering teams across the company to understand their infrastructure requirements and development workflows, develop broadly applicable self-service platform services and tooling, continuously monitor how platform services are being utilized, and look for ways to improve developer productivity through automation and education. We are big open source enthusiasts and use a number of open source tools in our stack (contributing upstream whenever possible). Some of the tools we use regularly include Go, AWS, Kubernetes, Crossplane, Terraform, Helm, Drone, Prometheus, and Grafana. However, technology is nothing without a stellar team of engineers that are focused on doing high quality work and working as a team to solve complex distributed computing and platform engineering problems. This is where you come in! We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Our ideal candidate Has built and operated large-scale distributed systems in cloud providers (AWS strongly preferred) Has a strong backend programming background. Fluency in Go is strongly preferred; deep experience with another compiled or strongly-typed backend language is acceptable Has experience working with AI coding agents and can demonstrate building high quality context to yield high quality outputs Has experience designing and implementing medium-to-large software projects, including driving design reviews and mentoring less-senior engineers Pragmatic, detail-oriented, self-motivated, and understands the benefits of collaboration Strong experience operating production Kubernetes clusters, not just deployed to it Has practical experience defining and operating against SLI/SLOs for services they owned Str

mongodbawsazure
View job →
M
MongoDB
📍 Gurugram• Full-time
5mo ago

The Data Engineering team is responsible for building ETL pipelines that populate the Internal Data Platform, which drives analytics that help the company run more efficiently. Our team builds highly performant and scalable processes that extract massive datasets and makes those datasets available for querying in an optimal way. We are looking to speak to candidates who are based in Gurgaon for our hybrid working model. What you’ll do Guide the Data Engineering team on building highly performance ETL pipelines using Spark and other Big Data technologies Help design the architecture of our Internal Data Platform to support the implementation of a robust medallion architecture Provide thought leadership on ways to achieve infrastructure cost savings on Cloud hyperscalers Design and build AI agents that can help automate many of the common development and support tasks that the team performs Work with Security and Compliance teams to ensure that datasets have appropriate permissions and regulations in place Work with our Data Platform, and Governance sibling teams to make data scalable, consumable, and discoverable We’re looking for someone with 10+ years experience working on enterprise data lakes/warehouses 5+ years of Spark and Python experience 5+ years of direct hands-on experience working with AWS or GCP Thorough AI knowledge, particularly with codegen tools and agentic frameworks Hive, Iceberg, Glue, or other technologies that expose big data as tables Familiarity with different big data file types such as Parquet, Avro, and JSON Exposure to real-time or streaming data technologies is a plus Success Measures In 3 months, you'll have a thorough understanding of the architecture of MongoDB’s internal Data and AI ecosystem In 6 months, you'll have owned the delivery of a large project from start (scoping, design) to finish (delivery) In 12 months, you'll have designed new features, led development work, and become a go-to expert on parts of the system About MongoDB

pythonmongodbaws
View job →

About the Team OpenAI, in partnership with our capital and technology partners, is building a global network of advanced datacenters to support the most demanding AI workloads. The Industrial Compute team ensures that all datacenter systems are manufactured, delivered, and commissioned to the highest standards of quality, reliability, and performance. We work closely with manufacturing partners, engineering teams, and operations staff to ensure that every component is delivered ready for installation, startup, and long-term service. About the Role We are seeking an experienced Quality Engineer (QE) to drive Product and Site Quality initiatives across OpenAI’s infrastructure ecosystem. In this role, you will establish, implement, and manage a comprehensive, quality-focused program across our global supply chain network, ensuring excellence from design through deployment. You will be responsible for end-to-end quality of finished products, as well as maintaining and elevating manufacturing site quality standards. Working cross-functionally with Design (NPI) and Engineering teams, you will help achieve First Pass Yield (FPY), quality, and reliability targets. This includes leading site and fixture validation efforts, driving yield improvement initiatives (Yield Bridge, CPI), and implementing robust corrective and preventive actions (CAPA) to resolve issues at their root cause. In addition, you will play a key role in supplier quality management, assessing and qualifying new vendors, overseeing ongoing supplier performance, and ensuring readiness for future business awards. You will lead vendor audits, monitor key performance metrics, and coordinate corrective actions to ensure predictable delivery schedules, reduced operational risk, and high system reliability. By partnering closely with external suppliers and internal Engineering and Operations stakeholders, you will help ensure OpenAI’s datacenter infrastructure is delivered on time, meets the highest quality standa

awsrestai
View job →
O
OpenAI
📍 San Francisco• Full-time• $210K – $490K/yr
5mo ago

About the Role The Engineering Acceleration Delivery / Continuous Deployment team builds and operates the systems that safely ship OpenAI’s infrastructure and product code to production. We own the deployment platform, release pipelines, and rollout safety mechanisms that allow engineers across OpenAI to deploy changes rapidly while minimizing operational risk. Our mission is to make production deployments fast, safe, and increasingly autonomous. This role sits at the intersection of developer productivity, distributed systems reliability, and large-scale infrastructure orchestration. In This Role, You Will Design and build continuous deployment infrastructure that safely rolls out changes across dozens of Kubernetes clusters and global regions. Develop systems for progressive delivery, including canary releases, staged rollouts, and automated rollback. Improve engineering velocity by reducing friction in the release pipeline and automating manual operational workflows. Work with product and infrastructure teams to ensure their services are deployable, observable, and resilient at scale. Implement and evolve deployment methodologies such as GitOps, infrastructure-as-code, and progressive delivery patterns. Build systems that automatically evaluate deployment health using metrics, logs, traces, and alerts to detect regressions and trigger safe rollbacks. Build systems that support agent-assisted or autonomous deployment workflows using modern AI tooling. Technologies commonly used in this environment include: Kubernetes for large-scale container orchestration and runtime infrastructure Python and FastAPI for internal services Terraform for infrastructure as code GitOps-based deployment workflows (e.g., ArgoCD, Flux, or similar systems) Buildkite for CI orchestration You may be a strong fit if you: Have worked with Kubernetes-based deployment systems at scale Have experience building or operating continuous deployment platforms Are familiar with GitOps tooling such as

pythonkubernetesartificial intelligence
View job →
M
Micron
📍 Taichung - Fab 16, Taiwan• Full-time
5mo ago

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. 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. Job Description Summary As the Sr Mgr, OMT Metro Application at Micron, you will have the opportunity to drive world-class solutions that support yield ramp, detection gap closure, and matching consistency. Join us in Taiwan to play a pivotal role in our ambitious journey to achieve flawless HVM/NPI execution across multiple technology nodes! Responsibilities Develop Metro application approach to support yield ramp, detection enhancement, and margin improvement. Collaborate with Metro related equipment suppliers on roadmap alignment, application gaps, and new function evaluation. Establish and share BKMs, lessons learned, and standard application methodologies across fabs. Manage cross-functional resources to close technical gaps and drive project execution. Collaborate with Cram, TD, and Global Procurement to drive supplier competitiveness and cost optimization. Develop Metro Application engineers through organized training, mentoring, and domain rotation. Requirements Masters/Bachelor’s in Engineering with over 10 years’ experience. At least 3 years in a management role. Relevant working experience in M

artificial intelligenceaiprocurement
View job →
Z
Zoox
📍 Foster City• Full-time• $131K – $204K/yr
6mo ago

Zoox is looking for a manufacturing test engineer to be responsible for manufacturing testing of our sensors and ECUs used in our autonomous vehicle. In this role, you will be developing automated tests for critical components, including but not limited to lidars, cameras, radars, telematics, HV modules, sensor pod accessories, etc. You will work cross-functionally with our electrical engineering and software teams to develop and test new products and technologies. We are looking for an engineer who is curious, enthusiastic, and not afraid to embrace new technologies! Ability to work independently as well as organize work around schedules and critical deadlines is a definite plus. In this role, you will: Build, release & support test solutions for use on the manufacturing lines at Zoox and at contract manufacturing partners Develop testing scripts to verify functionality, control test instruments, capture test parameters, and analyze results for continuous improvement Implement adequate test coverage across all phases of manufacturing (PCBA, module, system, vehicle) through collaboration with other teams Release updated test programs for new generations of hardware and software Establish best practices and drive continuous improvement on test deployment, runtime, and yield Qualifications: BS in electrical engineering, computer engineering, computer science, physics, or equivalent technical degree 5+ years of relevant experience Strong knowledge of Python and shell (bash) scripting Strong knowledge of testing and troubleshooting complex electronic assemblies in a manufacturing environment Experience in developing automated manufacturing tests on Linux. Ability to debug failures using commands in the terminal Experience working with contract manu

pythonlinux
View job →
M
Micron
📍 Taichung• Full-time
6mo ago

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 Join us at Micron and be a part of a team that is transforming how the world uses information to enrich life for all. As an IE Layout Senior Engineer, you will play a crucial role in our mission with responsibilities that build our world-class environment: Drive the planning and build of Fab/Lab/Office layouts. Compose layouts for new expansion areas, ensuring flawless execution. Manage space expansion projects with proven efficiency and precision. Actively engage in Micron’s environmental sustainability projects to contribute to our ambitious goals. Define methodologies for layout planning optimization, aiming for outstanding results. Build intelligent systems that simplify layout planning and management processes. Tongluo site fab/non-fab layout planning Requirements To compete for this role, you must bring a combination of expertise and ambition: Bachelor’s degree in Engineering or related field. A minimum of 3 years working in layout planning and managing projects. Proven track record in developing intelligent systems for layout optimization. Outstanding problem-solving skills and meticulous attention to detail. Ability to work collaboratively in a diverse and inclusive team environment. Excellent communication skills, both written and verbal. At Micron, we offer an unparalleled opportunity to work with inno

artificial intelligenceairecruitment
View job →

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Responsibilities: As part of the manufacturing team, you will be - Responsible for analyzing machines utilization, improving and ensuring quality output. Maintain overall production efficiencies of assigned workstations Support a safe work environment by following safety procedures and promptly reporting identified hazards. Work alongside Equipment engineers to strengthen and maintain equipment availability to meet stringent product requirements. Requirements: A relevant Diploma in Engineering OR equivalent working experience Self-motivated, results-oriented, and looking for growth Proficient in Microsoft Office Comfortable with doing 12-hr shift About Micron Technology, Inc. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day,

artificial intelligenceairecruitment
View job →
P
6mo ago

About the Role We are a small team of AI builders in Paytm Labs. As a Staff AI Platform Engineer, you will work across inference and agentic systems. You will contribute to Paytm's AI inference platform (Pi), serving internal teams and enterprise customers - running our own coding and domain-specific models (voice, vision, risk, fintech workflows) as well as third-party models. You will also architect and build the platform that enables autonomous AI agents to operate safely and reliably in production - the runtime, orchestration, and developer tooling for agents to reason, plan, use tools, and execute complex multi-step workflows, automating both software development and business processes. You will work at the intersection of LLMs, distributed systems, and production fintech infrastructure, helping define how inference and agentic AI are built and deployed across payments, risk, fraud, collections, support, and developer experience. What You'll Do Inference & Model Serving Build and operate multi-model serving across modalities (text, voice, code, vision) on shared infrastructure Own the model lifecycle: download, deploy, serve, monitor, update, swap Drive inference optimization: latency, throughput, cost - including quantization, batching, caching, and routing strategies Ensure inference is fast and reliable for the agents and systems that depend on it Agentic Systems Architect and build the Agentic AI Platform - runtime infrastructure, orchestration systems, and developer tooling for autonomous agents Design multi-agent coordination systems enabling agents to collaborate and solve complex workflows Build robust tool-use infrastructure that allows agents to interact with APIs, databases, and services safely Implement workflow automation: agents that execute multi-step business and engineering tasks with appropriate guardrails Build safety and gu

typescriptpythonaws
View job →

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Transform complex technical challenges into innovative, powerful solutions and own the lifecycle of core platform capabilities powering AI automation for the world's largest enterprises. ABOUT THE TEAM The Appian Product Management function is responsible for the creation, refinement, and scaling of products and services that power our global platform. Operating at the intersection of business strategy and cutting-edge engineering, our team transforms complex technical challenges into innovative, powerful solutions. We build the mission-critical core capabilities that enable AI-Powered Process Automation for the world’s most regulated and sophisticated enterprises and governments. THE OPPORTUNITY Why should an ambitious product professional join Appian right now? Our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. This role offers an exceptional opportunity to manage the complete product lifecycle within a high-velocity, collaborative environment. You will not just be managing a backlog; you will be the strategic bridge connecting engineering, design, and go-to-market functions to bring innovative capabilities to life. WHAT YOU'LL DO Product Vision & Execution: Own the quarterly plan, prioritize the feature backlog, and lead the delivery for a major product area. Backlog & Roadmap Alignment: Prioritize the sp

aisalesforce
View job →
M
7mo ago

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Job Description Setup, maintain and troubleshoot Micron’s GeRM, Sigma, SPC and traveler systems Define, implement, and enforce the use of worldwide standards for all of the responsibilities listed above Be a contributing member in your areas of responsibilities Document lessons learned and Fab business rules for process control systems Coach end-users in the proper use of traveler and process control systems applications Education Diploma in engineering, physics, mathematics, or a related science field, or an equivalent Qualifications Strong interpersonal skills with the ability to work effectively with a variety of people Basic PC skills including MS Office Word, Excel and PowerPoint Basic to intermediate data extraction, analysis and reporting skills Strong time management, organization and prioritization skills Self-motivated with a good work ethic and able to work effectively with minimal supervision Proven ability in multi-tasking projects Excellent verbal and written communication skills</

artificial intelligenceaiExcel
View job →

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. As the Gas Engineer for the Global Facilities & Construction North Asia Regional Department at Micron Technology, you will play an instrumental role in ensuring the latest planning, build, construction, and maintenance of Bulk and Specialty Gas systems across our semiconductor manufacturing sites in China, Taiwan, and Japan. This opportunity is groundbreaking because you will lead the standardization, innovation, and sustainability efforts in a modern industry! Responsibilities and Tasks Offer Technical Support, Direction, and Expertise Offer consultation and support to Site Facilities & Manufacturing teams in North Asia as the Technical Field Subject Matter Expert. Collaborate with internal partners including Technology Development Team, Procurement, Finance, and Legal. Develop, review, and maintain Micron system standards, specifications, and Established Procedures (EPs). Ensure standardization and alignment across the North Asia network for engineering concepts, construction projects, and operations practices. Analyze system builds for performance improvements, efficiency gains, and cost savings. Support sites with problem analysis using standard tools and methodologies. Benchmark engineering guidelines and BKMs within and outside Micron. Stay updated on industry trends, technological advances, and sustainability initiatives. Provide Build and Construction Project Support, Leadership, and Expertise Supp

artificial intelligenceaifinance
View job →
MT
Micron Technology
📍 Taichung - Fab 16, Taiwan• Full-time
7mo ago

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. Key Responsibilities TIQ Strategy & Execution Define and drive global TIQ engineering strategy, BKMs, and business processes Lead year on year optimization in TIQ safety, schedule, cost, BKM and quality Monitor TIQ performance metrics, benchmark fab performance, and enable cross-site learning Provide tactical TIQ support to ramping and operating fabs Front End Materials Cost & Value Engineering Drive Front End Materials Cash Cost VE (value engineering) strategy to achieve front-end manufacturing cost targets Lead cross-functional programs across Chemicals, Film & Gas, Photo, CMP materials, Bulk gas and UPW Partner with Procurement, suppliers and sites to identify, prioritize, and execute cost-reduction opportunities Ensure alignment of short and long-term materials cost roadmaps with corporate objectives Program & Stakeholder Leadership Manage global portfolios of TIQ and cost programs to maximize ROI Define scope, milestones, resources, and risks; drive issue resolution Influence global stakeholders to align on strategy, priorities, and execution plans Provide regular executive updates on progress, risks, and results People & Capability Development Lead, mentor, and develop global engineering and progra

artificial intelligenceaiproject management
View job →
O
OpenAI
📍 San Francisco• Full-time• $266K – $445K/yr
8mo ago

Join the engineering teams that bring OpenAI’s ideas safely to the world!! The Applied Engineering team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role We’re building the observability product for OpenAI—from scalable infrastructure to a rich, AI-powered UI. Our systems ingest over petabytes of logs and billions of time series metrics across our fleet. We're now layering intelligence on top—think agents that summarize SEVs, auto-generate dashboards, or help engineers debug through notebook-like UIs. We’re hiring software engineers across the stack—infra, backend, and product. You’ll join a small, gritty team building both foundational infra and novel internal tools to make OpenAI's production systems reliable, performant, and observable. What You’ll Do Own core observability infrastructure, including distributed logging, time series, and trace storage Build AI-native tools that help engineers detect, understand, and resolve issues autonomously. Contribute to UI experiences like dashboards, notebooking, or interactive debugging Collaborate closely with engineers, researchers, user ops, and other teams across the company to build the next generation observability product You Might Be a Fit If You: Have operated large-scale distributed systems in production. ( especially logging systems or some other time series databases) Thrive in ambiguous environments and roll up your sleeves to solve unscoped problems. Have full-stack chops or product sensibilities—you're excited to build real tools people use. Have strong fundamentals in systems, networking, and cloud infra (Kubernetes, AWS, etc). Bonus : built or contributed to observability systems (e.g. Prometheus, OpenTelemetry, etc). Why This Team We’re b

awskubernetesartificial intelligence
View job →
🔔

Get new engineering group lead jobs by email

Daily job updates · Unsubscribe anytime