MongoDB is seeking an Engineering Manager to join the Atlas Organization. The organization 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. This includes developing software to interface with the three major cloud providers (AWS, Azure, and GCP) in order to bring security, durability, availability, and performance to all deployments of MongoDB. The Atlas Data Federation & Archiving team is an engineering team responsible for the Atlas capabilities that allow customers to move data from hot to cold storage and run federated queries over that data. The team builds Atlas Data Federation, a distributed query engine that lets users query data across Atlas Clusters and cloud object storage through a unified service. The team also builds Atlas Online Archive which allows customers to move data from Atlas Clusters into fully managed cloud object storage while preserving a seamless query experience across hot and cold datasets. We are forming a new Atlas Data Federation & Archiving team in the Dublin area. The Engineering Manager who fills this position will be pivotal in growing that team. We are looking to speak to candidates who are based in Cork and would like a hybrid or in-office working model. What you’ll do Lead a team of motivated individual contributors who are eager to learn and grow Contribute to the code, design, and architecture of the systems your team develops Work with stakeholders throughout MongoDB to build our roadmap and product offerings Work with customers and support engineers to fix issues and become part of our on-call rotation Collaborate with team members to develop our codebase, best practices, and design principles Foster an inclusive and respectful work environment according to MongoDB's Core Values We’re looking for someone who Has at least 6 years of professi
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MongoDB is seeking an Engineering Manager to join the Atlas Organization. The organization 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. This includes developing software to interface with the three major cloud providers (AWS, Azure, and GCP) in order to bring security, durability, availability, and performance to all deployments of MongoDB. The Atlas Data Federation & Archiving team is an engineering team responsible for the Atlas capabilities that allow customers to move data from hot to cold storage and run federated queries over that data. The team builds Atlas Data Federation, a distributed query engine that lets users query data across Atlas Clusters and cloud object storage through a unified service. The team also builds Atlas Online Archive which allows customers to move data from Atlas Clusters into fully managed cloud object storage while preserving a seamless query experience across hot and cold datasets. We are forming a new Atlas Data Federation & Archiving team in the Dublin area. The Engineering Manager who fills this position will be pivotal in growing that team. We are looking to speak to candidates who are based in Dublin and would like a hybrid or in-office working model. What you’ll do Lead a team of motivated individual contributors who are eager to learn and grow Contribute to the code, design, and architecture of the systems your team develops Work with stakeholders throughout MongoDB to build our roadmap and product offerings Work with customers and support engineers to fix issues and become part of our on-call rotation Collaborate with team members to develop our codebase, best practices, and design principles Foster an inclusive and respectful work environment according to MongoDB's Core Values We’re looking for someone who Has at least 6 years of profes
Role Overview The worldwide data management software market is massive (forecasted to be approximately $82 billion in 2023, growing to approximately $137 billion in 2027). At MongoDB we are transforming industries and empowering developers to build amazing apps that people use every day. We are the leading developer data platform and the first database provider to IPO in over 20 years. Technical Services Engineers use their exceptional problem-solving and customer service skills, along with their deep technical experience, to advise customers and solve their complex MongoDB problems. Technical Service Engineers are experts in the entire MongoDB ecosystem; database server, drivers, cloud, and infrastructure, including services such as Atlas (database as a service) or Cloud Manager (for automation, backup, and monitoring of MongoDB systems). We are looking to speak to candidates who are based in Gurgaon for our hybrid working model. We are looking to speak to candidates who are based in Bangalore for our hybrid working model. Position Expectations Working alongside our largest customers, solving their complex challenges, resolving questions on architecture, performance, recovery, security, and everything in between. Expert resource on best practices in running MongoDB at scale, whatever that scale may be. Advocate for customers' needs, interfacing with our product management and development teams on their behalf. Contribute to internal projects, including software development of support tools for performance, benchmarking, and diagnostics. Qualifications We welcome all candidates, especially those who are self‑taught, curious, and multi‑faceted, with 3 - 5 years of relevant experience. The ideal candidates should have: <
MongoDB is seeking an Engineering Manager to join the Atlas Clusters Organization. The organization 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. This includes developing software to interface with the three major cloud providers (AWS, Azure, and GCP) in order to bring security, durability, availability, and performance to all deployments of MongoDB. The Atlas Clusters Fleet Signal Management team is a product engineering team that builds machinery to rollout hardware and software to the Atlas data plane, detect regressions at scale, and automate remediative actions. The core mission is to establish platform stability by owning the rollout and monitoring systems designed to swiftly detect and mitigate potential issues. We are forming a new Atlas Clusters Fleet Signal Management team in the Dublin area. The Engineering Manager who fills this position will be pivotal in growing that team. We are looking to speak to candidates who are based in Dublin for our hybrid working model. What you’ll do Lead a team of motivated individual contributors who are eager to learn and grow Contribute to the code, design, and architecture of the systems your team develops Work with stakeholders throughout MongoDB to build our roadmap and product offerings Work with customers and support engineers to fix issues and become part of our on-call rotation Collaborate with team members to develop our codebase, best practices, and design principles Foster an inclusive and respectful work environment according to MongoDB's Core V
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. We are seeking an experienced Staff Software Engineer to join Okta's Universal Directory Platform team within the Product Platform Pillar. The team serves as the intelligent core of the enterprise security fabric, maintaining the source of truth for all identity assets and their associated relationships. Opportunity This position will be involved into development, design, and maintenance of our highly performant, reliable, and scalable platform, which is critical for managing user lifecycles, groups, and memberships. The successful candidate will possess experience in building and deploying scalable, reliable software and infrastructure within a cloud environment. What you’ll be doing Understand our identity management group codebase and development process: Jira, Technical Designs, Code Review, Testing, and Deployment. Develop and implement frameworks and toolings for our Universal Directory Service platform. Design and implement high-performance distributed scalable and fault-tolerant software components. Quickly deliver high-quality bug fixes and handle customer-reported issues. Conduct quality code reviews and automated testings. Partner with our Product Development, QA, and Site Reliability Engineering teams for scoping the development and deployment work. What you’ll bring to the role The ideal candidate is someone who is experienced building software systems to manage and deploy reliable and performant infrastructure and prod
Who we are About Privy Our mission is to make privacy and user ownership the default online. To do so, we build simple, flexible APIs and tools for developers that make it easy to build new products on crypto rails. Privy owns the abstractions and infrastructure layer above wallets, integrating across chains, third-party providers, and Stripe products like Treasury and Link. We get to solve hard technical problems while leveraging Stripe's distribution to reach customers like Ramp, Klarna, Deel, Kraken, Hyperliquid, and Fomo — powering experiences for both mainstream users and crypto natives. About the team Engineering at Privy is distinguished by High urgency—Shipping very small iterations, very fast, to learn very quickly Product taste—Our customers are developers, and to build effective products for them requires technical knowledge—you will often be "the PM." Security mindset—A great portion of our product is trust. While we have a dedicated security team, every engineer brings security to their designs from the start. In practice, we use boring technology like Node, React, and AWS so we can focus our engineering energy entirely on pushing the boundaries of Privy's core product, e.g. through hardware enclaves, multi-region low latency APIs, and blockchain abstractions that are accessible to mainstream developers. What you’ll do We're looking for an exceptional Forward Deployed Engineer to join our team and be the primary technical owner for building out new capabilities with Privy's most important customers. In this role, you will combine technical expertise with a deep understanding of customer and business objectives to architect, develop, and deploy software features that address customers’ needs and evolve the capabilities of Privy’s core products. Customer obsession is a core part of Privy’s culture. You’ll work closely with fellow engineers, product, and business teams to ensure Privy's customers achieve their desired outcomes and are delighted
Contact Address: 30 N Gould St, Ste R, Sheridan, WY 82801 Phone: 307-443-5690 Website URL: https://innerluxes.dev Business Email: [email protected] About US INNERLUXES is a full-service software consulting and development company dedicated to helping businesses build modern, scalable, and high-performing digital products. We partner with startups, growing companies, and enterprises to design, develop, deploy, and maintain custom software solutions that solve real business challenges and accelerate growth. Our expertise covers SaaS product development, custom software engineering, web development, mobile app development, AI-powered applications, UI/UX design, cloud infrastructure, DevOps, business automation, and enterprise solutions. We are also one of the few companies worldwide with in-house Chromium expertise, building custom browsers and secure browser-based products for demanding teams. Every project is delivered by senior engineers who follow a structured development process with transparent communication, written project scopes, regular progress updates, and clean, maintainable code. Whether you are launching a new SaaS platform, modernizing legacy software, integrating AI into your workflows, or building custom business applications, INNERLUXES provides end-to-end services tailored to your goals, with performance, security, and scalability engineered in from day one. Having delivered 2,800+ projects across 30+ industries, INNERLUXES combines deep technical expertise with business-focused thinking to create software that improves efficiency, enhances customer experiences, and drives measurable results. Our teams serve healthcare, finance, retail, manufacturing, real estate, logistics, and many other industries, adapting every solution to the regulations and workflows of your market. From initial discovery and product strategy to deployment and ongoing maintenance, we act as a long-term technology partner committed to your success. Related Searches Sof
About the Team The Finance & Supply Chain Engineering organization includes two complementary teams. Software Engineering builds internal full-stack applications, durable agentic workflows, plugins, MCPs, and measurable AI-enabled engineering practices. Data Engineering builds trusted analytics data assets for Finance and Supply Chain. The teams have distinct charters, with important shared dependencies and broad cross team partnerships across Engineering, Applications, Finance, and Supply Chain. About the Role We are looking for a hands-on senior technical leader who will report alongside the Software Engineering and Data Engineering managers. This is an individual-contributor role with no immediate people-management responsibility. The Tech Lead will raise the technical bar across both teams, participate in important cross-team or high-risk design decisions, and directly own and ship high-impact work. The role should improve team judgment and autonomy rather than act as a floating architect or universal approval gate. In this role, you will: Partner with the Software Engineering and Data Engineering managers as a peer technical leader; managers retain accountability for people, staffing, priorities, performance, and delivery commitments. Directly own the architecture, implementation, launch, and operation of one or more high-impact initiatives, remaining accountable for real outcomes rather than advisory output alone. Guide important design decisions that are cross-team, difficult to reverse, or material to security, financial controls, reliability, data quality, or long-term cost of ownership. Establish pragmatic engineering standards across architecture, APIs and data contracts, testing, security, reliability, observability, lineage, data quality, and operational ownership. Advance engineering standards for building with AI, including agentic workflows, evaluation, telemetry, adoption, and outcome measurement. Work across backend, full-stack, data, and big-d
About the role We are building a higher education researcher motion that helps funded labs adopt OpenAI across core research workflows. This role will develop relationships with principal investigators, researchers, research software engineers, research computing teams, and university technology leaders, then translate high-value use cases into sustained Pro, Codex, API, and ChatGPT Edu usage. This is a hybrid business development and program management role. You will identify and qualify priority labs, design phased access and fellows programs, run pilots, remove technical and institutional blockers, and create repeatable paths from individual researchers to lab- and institution-level adoption. Additionally, this role will launch and manage a community of researchers with events, communications and support. In this role, you will: Build a pipeline of funded labs, research centers, and technical champions at priority R1 universities; qualify opportunities based on workflow value, funding path, influence, and expansion potential. Run discovery with researchers and university stakeholders to understand workflows, data and security needs, procurement constraints, and success criteria. Design and operate phased access and fellows programs, including eligibility, selection, offer mechanics, onboarding, office hours, community programming, and pilot goals. Translate research workflows into effective use of Pro, Codex, API, and ChatGPT Edu in partnership with Solutions, Product, and Education account teams. Manage pilots end to end, remove trust, funding, and technical blockers, and drive measurable activation, retention, and expansion. Turn early usage into product feedback, workflow documentation, peer proof, case studies, and repeatable enablement. Build clear handoffs and expansion paths from researcher to lab to institution; track fellow selection, activation, retained usage, workflow proof, conversion, and expansion. You might thrive in this role if you: Relevant exp
About the Team OpenAI's Research Data Team exists to accelerate the evaluation, safety and capabilities of our models and products. Made up of technical operators and software engineers, we design the methods in which we acquire and create data. About the Role As a Research Program Manager (RPM), Data Acquisition, you will partner with research, engineering, and operations to design and implement pragmatic solutions for acquiring data. You will be a key interface between our research roadmap and external data offerings. This role is based in our San Francisco HQ and will be part of a team of RPMs pushing the frontier of data acquisition. In this role, you will: Partner deeply with research: Work with researchers to scope data needs, define success criteria, and translate priorities into clear execution plans. Shape the data acquisition pipeline: Identify, evaluate, and advance high impact data opportunities - balancing research value, feasibility, quality, and responsible execution. Unblock yourself: Move work forward even when the path is unclear — using technical judgement, creative problem solving, and scrappy execution to make progress while longer-term solutions are still forming. Build lightweight systems and visibility: Use SQL, Python, dashboards, and simple tooling to track performance, quality, and blockers. Drive technical roadmaps: Collaborate with engineers to enhance data platforms, resolve blockers, and ensure security best practices such as access management. Scale your impact: Equip vendors and internal teams with the context, standards, and operating rhythms needed to focus on the most important problems. You’ll thrive in this role if you: Are proficient in SQL and Python for analysing datasets, querying databases, building dashboards, and generating actionable insights. Are comfortable using APIs, automation, and AI tools such as Codex to accelerate workflows, remove manual overhead, and upskill quickly in unfamiliar technical areas.Experience sou
About the Team The OpenAI Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives. About the Role As a Research Engineer, Distributed Data Systems, you will design and scale the infrastructure that powers large-scale multimodal training and evaluation at OpenAI. You’ll manage distributed data pipelines, collaborate closely with researchers to translate requirements into robust systems, and harden pipelines that serve as the backbone for OpenAI's rapid iteration cycles. We’re looking for engineers who are detail-oriented, have strong experience with distributed systems, and excel at building reliable infrastructure in high-stakes environments. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure, machine learning infrastructure while ensuring scalability, reliability, and security. Ensure our data platform can scale by orders of magnitude while remaining reliable and efficient. Partner with researchers to deeply understand requirements and translate them into production-ready systems. Harden, optimize, and maintain critical data infrastructure systems that power multimodal training and evaluation. You might thrive in this role if you: Have strong experience with distributed systems and large-scale infrastructure with a strong interest in data. Are detail-oriented and bring rigor to building and maintaining reliable systems. Demonstrate excellent software enginee
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. The Red Team in the Security Foundations org is responsible for conducting security assessments against Snowflake’s diverse cloud environment and finding vulnerabilities in software, systems, and networks. In this role, you will execute security assessments across Snowflake’s corporate and product environments. You will partner with cross-functional teams to communicate gaps discovered during engagements and help drive remediation. You will develop tools, perform security research, and build infrastructure to augment the Red Team’s capabilities. Our ideal candidate wakes up each morning thinking about different parts of the business that can benefit from security assessments. Their goal is to identify relevant security risks and help the business understand them so they can build effective defenses and protect Snowflake customers and their data. RESPONSIBILITIES Develop tools, methodologies, and infrastructure to support Red Team engagements in a variety of cloud environments and novel platforms Participate in security assessments against a diverse cloud environment and find vulnerabilities in software, systems, and networks Set scope, objectives, and timelines for security assessments and leverage data to create meaningful metrics Work with security and engineering teams t
Position Summary: We are seeking an experienced and result-oriented IT Procurement Professional with 5-7 years of proven expertise for strategic sourcing and procurement of IT products and services. The ideal candidate will have strong expertise in procuring IT hardware, software, cloud services, SaaS applications, cybersecurity solutions, telecommunications, and professional services. The role requires end-to-end ownership of procurement activities, supplier relationship management, commercial negotiations, contract management, and stakeholder engagement while ensuring cost optimization, regulatory compliance, and procurement governance. Key Responsibilities: Strategic Procurement & Sourcing: End-to-end procurement of IT hardware, software, cloud services, SaaS applications, cybersecurity solutions, telecommunications, data center infrastructure, and technology services. Proven experience in procurement of IT infrastructure, software licensing, cloud platforms (AWS, Azure, Google Cloud), SaaS applications, cybersecurity solutions, telecommunications, and managed services. Develop and execute category sourcing strategies aligned with business objectives and technology roadmaps. Manage the complete sourcing lifecycle, including requirement gathering, market assessment, RFI/RFP/RFQ preparation, supplier evaluation, commercial analysis, negotiations, and contract award. Drive competitive bidding and supplier selection to achieve optimum commercial and technical outcomes. Commercial & Contract Management: Negotiate pricing, commercial terms, payment terms, SLAs, licensing models, support agreements, renewals, and long-term contracts. Ensure timely execution of contracts in collaboration with Legal, Finance, Information Security, and business stakeholders. Manage contract renewals, amendments, vendor obligations, and commercial risk throughout the contract lifecycle. Deliver measurable cost savings while optimizing Total Cost of Ownership (TCO). Ve
Job Details: Job Description: Join an enthusiastic team of engineers in Intel's Networking Solutions Group (NSG) focused on enabling next generation of programmable Infrastructure Processing Units (IPUs) with our lead customers as part of the Customer Experience Support (CES) organization. Intel brings decades of leadership in networking, virtualization, packet processing, storage, and security to a new class of IPU products that accelerate host networking functions and support emerging use cases such as security, virtualization, storage, load balancing, and data path optimization. Working closely with major cloud service providers and Intel development teams, you will help deliver customized IPU based solutions that enhance isolation, security, performance, storage and system management for our customers. A big part of the day-to-day job is to help customers manage feature request processes, enable solutions, and debug issues. Projects and responsibilities include but are not limited to: • Gain our customers' trust, understand their needs, and build POCs to meet them. Work closely with internal and external partners to understand use cases and requirements. • Be the go-to technical resource for customers building complex Datacenters, AI infrastructure as well as helping them understand performance characteristics for solutions. • Prepare and deliver technical content to customers including presentations, workshops, etc. • Contribute across the full IPU lifecycle, including board and platform bring up, low-level device initialization, OS driver and kernel configuration, system management, feature enablement, use case testing, debugging, and verification. • Defines systems implementation and integration solutions and plans to ensure optimum performance and reliability across hardware, firmware and software w
Audio Visual Programmer Analyst (Experienced, Senior or Lead) Company: The Boeing Company Boeing Defense, Space & Security (BDS) / Intelligence Systems (IS) is looking for a motivated and self-starting Audio Visual Programmer Analyst (Experienced, Senior or Lead) to join our team based in Herndon, VA . Basic Qualifications (Required Skills/Experience): This position requires an Active TS/SCI U.S. Security Clearance. (U.S. Citizenship Required) (A U.S. Security Clearance that has been active in the past 24 months is considered active.) Level 3: 3+ years of related work experience or an equivalent combination of education and experience Proficiency in modern programming and scripting languages such as C#, C++, Java, JavaScript, Perl, Python, and Visual Basic Experience in system integration, testing, and troubleshooting of complex A/V systems Hands-on experience with network programming Strong analytical and problem-solving skills with attention to detail Familiarity with systems engineering principles and integration best practices Preferred Qualifications (Desired Skills/Experience): Level 4: 5+ years of related work experience or an equivalent combination of education and experience Level 5: 10+ years of related work experience or an equivalent combination of education and experience An Active TS/SCI U.S. Security Clearance and current Counterintelligence Polygraph (CIP) Experience with Crestron programming and system environments using SIMPL+ or C# Experience translating customer requirements into software designs </
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