Engineering Specialist Jobs

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. Senior Site Reliability Engineer (SRE) - Security and Data Systems Our company is seeking a highly skilled Senior Site Reliability Engineer to join our team. We are a SaaS company specializing in securing large-scale systems. This role is a blend of software engineering and systems administration, where you'll be responsible for building and maintaining highly reliable, scalable, and secure infrastructure. You will be a key contributor, applying your expertise to automate manual processes and proactively solve complex problems before they become incidents, handling incidents, and includes on-call shifts. * This position requires the ability to access U.S. National Security information. As a condition of employment for this position, the successful candidate must be able to submit documentation establishing U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15 ) upon hire. Responsibilities Platform & Reliability: Design, build, and maintain the core infrastructure that underpins our security SaaS offerings, ensuring high availability, performance, and scalability. This includes building and operating the tooling for our Snowflake data systems. Automation: Develop robust automation using code to eliminate toil and ensure consistency across our environments. You'll be a key driver in automating everything from infrastructure provisioning to application deployment and incident response. Security &amp

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. Senior Site Reliability Engineer (SRE) - Security and Data Systems Our company is seeking a highly skilled Senior Site Reliability Engineer to join our team. We are a SaaS company specializing in securing large-scale systems. This role is a blend of software engineering and systems administration, where you'll be responsible for building and maintaining highly reliable, scalable, and secure infrastructure. You will be a key contributor, applying your expertise to automate manual processes and proactively solve complex problems before they become incidents, handling incidents, and includes on-call shifts. Responsibilities Platform & Reliability: Design, build, and maintain the core infrastructure that underpins our security SaaS offerings, ensuring high availability, performance, and scalability. This includes building and operating the tooling for our Snowflake data systems. Automation: Develop robust automation using code to eliminate toil and ensure consistency across our environments. You'll be a key driver in automating everything from infrastructure provisioning to application deployment and incident response. Security & Compliance: Work closely with our security teams to embed a security-first mindset into all our processes and infrastructure. You will be responsible for ensuring our systems and data platforms are compliant with industry standards. Incident Response: Participate in on-call rotations and be a primary responder for critical inci

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. Our EPD Recruiting team builds the teams that build Plaid. We partner with leaders across Product, Engineering, and Design to deliver thoughtful, candidate-first processes and continually raise the bar for how we scale. Within that, our team owns Product and Design recruiting. We are responsible for delivering world-class talent through pragmatic, data-informed, and principle-aligned recruiting practices that help Plaid scale with intention. We are hiring a Senior Product Sourcer to support Plaid’s growing Product organization. Product Managers at Plaid are builders, thinkers, and connectors who shape how millions of people experience financial freedom — and this role is key to bringing that talent in. As a senior sourcer, you will partner closely with Product leaders and recruiters to drive the top of funnel strategies for specialized and niche Product searches. You will own the research,, manage pipelines, guide hiring teams, and provide data-driven insights that help leaders make smarter hiring decisions. This is a high-impact, high-visibility opportunity where your work will directly influence how Plaid builds its product organization and scales to meet ambitious goals. Responsibilities: Build a

As a Research Scientist on our team, you will partner with Research Engineers, working on fundamental research problems and collaborating with Datadog's product and engineering teams to translate research advances into products. Building on our track record of AI-powered solutions (e.g., Bits AI , Bits Evolve , and our time series foundation model ), Datadog AI Research tackles high-risk, high-reward problems grounded in real-world challenges in cloud observability and security. We are focused on two research areas: World Models for Observability -- Training multimodal foundation models that learn the joint dynamics of distributed systems across metrics, traces, logs, topology, and events. These models power advanced forecasting, anomaly detection, root cause analysis, counterfactual simulation ("what if?"), and provide a learned planning backbone for our autonomous agents. Trained Agents for Observability -- Post-training models to operate autonomously across Datadog's domain. SRE incident response is our first target, with a clear path to code repair, security response, and infrastructure optimization. We build the simulation environments, RL training loops, and evaluation infrastructure needed to train agents that match or surpass frontier models at a fraction of the cost. What You'll Do: Conduct research in generative AI and machine learning, building specialized foundation models and trained agents for observability Train multimodal models on large-scale, diverse telemetry data (metrics, logs, traces, topology, events) using distributed training infrastructure Design and build simulated environments and RL training loops for on-policy agent training and evaluation Collaborate with cross-functional teams (Product, Engineering) to integrate capabilities like multimodal world modeling and autonomous agents into Datadog's products Stay at the forefront of foundation models, world models, and RL-based agent research Contribute to r

As a Research Scientist on our team, you will partner with Research Engineers, working on fundamental research problems and collaborating with Datadog's product and engineering teams to translate research advances into products. Building on our track record of AI-powered solutions (e.g., Bits AI , Bits Evolve , and our time series foundation model ), Datadog AI Research tackles high-risk, high-reward problems grounded in real-world challenges in cloud observability and security. We are focused on two research areas: World Models for Observability -- Training multimodal foundation models that learn the joint dynamics of distributed systems across metrics, traces, logs, topology, and events. These models power advanced forecasting, anomaly detection, root cause analysis, counterfactual simulation ("what if?"), and provide a learned planning backbone for our autonomous agents. Trained Agents for Observability -- Post-training models to operate autonomously across Datadog's domain. SRE incident response is our first target, with a clear path to code repair, security response, and infrastructure optimization. We build the simulation environments, RL training loops, and evaluation infrastructure needed to train agents that match or surpass frontier models at a fraction of the cost. What You'll Do: Conduct research in generative AI and machine learning, building specialized foundation models and trained agents for observability Train multimodal models on large-scale, diverse telemetry data (metrics, logs, traces, topology, events) using distributed training infrastructure Design and build simulated environments and RL training loops for on-policy agent training and evaluation Collaborate with cross-functional teams (Product, Engineering) to integrate capabilities like multimodal world modeling and autonomous agents into Datadog's products Stay at the forefront of foundation models, world models, and RL-based agent research Contribute to r

About the Team OpenAI’s Compute Strategy team is responsible for securing and scaling the core resources that power our research and products. We partner across engineering, finance, legal, and operations to identify, negotiate, and execute strategic partnerships that expand OpenAI’s capacity for compute, power, and data center infrastructure. Our mandate spans energy procurement, real estate development, colocation, cloud service providers, silicon and strategic supply chain, and infrastructure financing—ensuring OpenAI can grow with speed, resilience, and cost-efficiency. About the Role We are hiring several Business Development Lead, Compute Strategy positions focused on compute infrastructure. Each hire will bring deep expertise in one or more focus areas while collaborating across the broader infrastructure stack. In this role, you will source opportunities, structure partnerships, and negotiate high-value agreements across OpenAI’s infrastructure ecosystem. You will work directly with external partners and suppliers while collaborating internally with engineering, legal, finance, and operations to ensure we have the resources needed to support state-of-the-art AI systems. This role requires technical fluency, commercial judgment, and disciplined execution. Your work will directly shape how quickly, reliably, and efficiently OpenAI can bring new compute capacity online. Each hire will focus on building partnerships and executing deals in one or more of the following areas: Energy and Power: securing scalable and sustainable energy supply. Land and Real Estate: identifying and securing strategic sites. Colocation : evaluating and contracting for third-party data center capacity. Cloud Service Providers (CSPs): structuring partnerships with hyperscalers and specialized AI cloud providers. Silicon: building semiconductor partnerships to secure advanced silicon and resilient long-term supply. Fiber & Equipment: securing fiber & critical data center equipmen

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 an IT Network Engineer at Micron, you will be responsible for the operational health (Security, Availability, Performance, Interoperability and Reliability) of Micron’s data communications systems. You will support the acquisition, installation, maintenance, and administration of Micron’s data and voice communications systems. Network Engineers specialize in LAN/WAN, Wireless, and Telecommunications hardware, software and cabling. You will regularly work with Micron’s Business Units to ensure solutions meet or exceed business requirements. You will be expected to suggest, promote, and leverage published standards to minimize environment complexity and ensure regulatory as well as license compliance. Responsibility Collaborate with various teams and functional areas in developing and improving business processes with clear and agreed-upon business rules Develop process improvement strategies across the network Prioritize and manage multiple projects based on Department and corporate objectives Lead and collaborate with various engineering groups to optimize current processes and align the network to improve manufacturability, yield, quality and cost performance of products Work with process integration team to implement and integrate new/improved process workflow Maintain documentation for new and improved processes Communicate project strategy, status and actions through meetings, presentations and reports to

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 an IT Network Engineer at Micron, you will be responsible for the operational health (Security, Availability, Performance, Interoperability and Reliability) of Micron’s data communications systems. You will support the acquisition, installation, maintenance, and administration of Micron’s data and voice communications systems. Network Engineers specialize in LAN/WAN, Wireless, and Telecommunications hardware, software and cabling. You will regularly work with Micron’s Business Units to ensure solutions meet or exceed business requirements. You will be expected to suggest, promote, and leverage published standards to minimize environment complexity and ensure regulatory as well as license compliance. Responsibility Collaborate with various teams and functional areas in developing and improving business processes with clear and agreed-upon business rules Develop process improvement strategies across the network Prioritize and manage multiple projects based on Department and corporate objectives Lead and collaborate with various engineering groups to optimize current processes and align the network to improve manufacturability, yield, quality and cost performance of products Work with process integration team to implement and integrate new/improved process workflow Maintain documentation for new and improved processes Communicate project strategy, status and actions through meetings, presentations and reports to

Software Chief Architect - AvionX Company: The Boeing Company The Boeing Company is looking for a Software Chief Architect - AvionX to join the AvionX Software team located in Long Beach, California . This position will focus on leading the AvionX Software Engineering organization. The Chief Software Architect for AvionX Software Vertical is the highest software technical authority across airborne software programs from architecture definition through certification closure. This role owns the coherence, integrity, and DO-178C/LOR compliance posture of software architectures across commercial and defense platforms, bridging software engineering discipline with system-level safety objectives and regulatory strategy. This role is also responsible to work with Enterprise Software Engineering Organizations to enable SW engineering practices and processes, such as Fabric, Design Practices etc. to be implemented across all AvionX Programs. Position Responsibilities: Advises management on a wide range of topics related to the embedded software engineering environment Consults on code for embedded systems software to run on specific specialized hardware Directs testing and debugging of software for embedded devices and systems. Influences current and emerging technologies, tools, frameworks, and changes in regulations relevant to software development and hardware technologies Directs the design, development, test, debugging and maintenance of software that is integrated into embedded devices and systems and meets industry, customer, safety and regulation standards Directs the review, analyses, and translation of customer requirements into the design of softwar

JLL empowers you to shape a brighter way . Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. About JLL- We’re JLL—a leading professional services and investment management firm specializing in real estate. We shape the future of real estate for a better world by using the most advanced technology to create rewarding opportunities, amazing spaces and sustainable real estate solutions for our clients, our people and our communities. As a Fortune 500 company, we help real estate owners, occupiers and investors achieve their business ambitions. We have operations in over 80 countries and a global workforce of over 92,000 individuals. We believe a diverse and inclusive culture is one where everyone succeeds. That’s why we’re committed to creating an environment where we all feel welcomed, valued and empowered to achieve our full potential. Confidence can sometimes hold us back from applying for a job. But we’ll let you in on a secret: there’s no such thing as a “perfect” candidate. JLL is a place where everyone can grow no matter how they identify or what background they bring with them. If you’re a leader of any level or experience and this job description resonates with you, let’s talk. Responsibilities Provide technical leadership and oversight for all building engineering operations, ensuring safe, reliable, and complian

About the Team Life sciences is one of the clearest areas where advances in intelligence can meaningfully benefit the world at large. The OpenAI Life Sciences team works at the intersection of advancing frontier life sciences model capabilities and building products to help scientists accelerate their research and leverage the full potential of AI for scientific work. Rosalind Workbench brings together the scientific tools, data sources, interactive biology file viewers and core life sciences workflows into a central environment to help scientists investigate questions, design experiments, analyze results, and advance discovery. Rosalind Workbench can be used with any OpenAI model, including GPT-Rosalind--our dedicated life sciences model, which combines frontier reasoning with specialized tool orchestration across medicinal chemistry, genomics, wet-lab assistance, and other scientific applications. Our long term vision is for teams of agents to work together across these domains, giving researchers access to broader expertise and the ability to pursue more ambitious scientific questions. About the Role We’re looking for a Product Manager to shape Rosalind Workbench for life sciences. You will own product strategy and execution, working directly with researchers in academic labs, biotech, and pharma to understand where AI can meaningfully improve their work. You’ll partner with engineering, research, design, and customer-facing teams to turn emerging capabilities into intuitive products that scientists return to. This role calls for strong product judgment, depth in life sciences, and the ability to move from an ambiguous research problem to a focused, shippable experience. In this role, you will have the opportunity to define the future of AI guided scientific discovery and build the capabilities and tools that help advance the scientific frontier for researchers and help increase the accessibility of model intelligence for scientific use. This is a chance to shape

About Backblaze Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands. Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $100M in revenue and is the leading specialized storage cloud — managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals. But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us. We’re seeking a Growth Marketing Director to join our team. About The Role The Director of Growth owns the self-serve revenue engine end-to-end — from top-of-funnel acquisition strategy through product-led growth, activation, and expansion — and operates with cross-functional authority across Product, Engineering, Marketing Ops, and our paid acquisition agency. This is not a funnel repair job or a lifecycle marketing role. It’s a growth leadership role for someone who thinks first about where new users come from, and second about everything else. What You’ll Do: Top-of-Funnel Strategy Own organic and paid acquisition strategy across all channels, including direct oversight of our paid acquisition agency — setting strategy, budget allocation, and performance expectations Drive developer community acquisition accross Reddit, Hacker News, dev-focused communities, technical content, GitHub presence, and DevRel-adjacent programs Product-Led Growth Own the PLG motion: product qualification logic, activation funnel design, self-serve to sales-led handoff d

Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands. Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $100m in revenue and is the leading specialized storage cloud - managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals. But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us. We are seeking an AI Workflow Engineer ! About the Role: Backblaze is running a company-wide AI transformation program, and this role is where strategy becomes something you can actually use. As AI Workflow Engineer, you will be the hands-on builder inside the AI Program Office - embedded alongside the Director, AI Enablement, and deployed into non-GTM, non-Engineering business teams to prototype, build, and ship AI-powered workflow solutions that make a measurable difference in how work gets done. This is not a research role or a strategy role. You will spend your time building: prompt architectures, automation flows, lightweight agents, API integrations, and demos that help a business team see - concretely - what AI can do for them. You will move across functions, which means you need to understand how businesses actually operate. The ideal background is someone who started in a business-facing role - finance, operations, marketing, customer success, HR - and developed serious hands-on AI and automation skills on top of that foundation. You will work closely with

Join Delphi - Where Innovation meets transformation At Delphi, we believe in creating an environment where our people thrive. Our hybrid work model empowers you to choose where you work—whether it's from the office, your home, or a mix of both—so you can prioritize what matters most. We are committed to supporting your personal goals, family, and overall well-being while driving transformative results for our clients. We welcome exceptional talent from anywhere across the globe. Interviews and onboarding are conducted virtually, reflecting our digital-first mindset. Rooted in the region, we specialize in delivering tailored, impactful solutions in Data, Advanced Analytics and AI, Infrastructure, Cloud Security, and Application Modernization. Whether it’s enabling predictive analytics , transforming operations with automation, or driving customer engagement with intelligent platforms, we are the trusted partner for organizations ready to embrace a smarter, more efficient future. We are looking for a hands-on Senior QA Consultant to lead end-to-end testing of AI and Generative AI applications across enterprise environments. This role combines strong expertise in traditional QA engineering with modern AI evaluation and validation practices. The ideal candidate will drive quality assurance initiatives for RAG pipelines, multi-agent systems, OCR and Speech-to-Text solutions while ensuring production grade quality outcomes in regulated industries such as Finance, Healthcare, and Insurance. The successful candidate will lead a small QA pod, collaborate closely with engineering, AI/ML, product, and business teams, and act as the client-facing QA owner for enterprise AI engagements. This role requires strong technical leadership, automation expertise, AI evaluation capabilities, and excellent stakeholder management skills. Experience Requirements • 10–15 years of experie

Join Delphi - Where Innovation meets transformation At Delphi, we believe in creating an environment where our people thrive. Our hybrid work model empowers you to choose where you work—whether it's from the office, your home, or a mix of both—so you can prioritize what matters most. We are committed to supporting your personal goals, family, and overall well-being while driving transformative results for our clients. We welcome exceptional talent from anywhere across the globe. Interviews and onboarding are conducted virtually, reflecting our digital-first mindset. Rooted in the region, we specialize in delivering tailored, impactful solutions in Data, Advanced Analytics and AI, Infrastructure, Cloud Security, and Application Modernization. Whether it’s enabling predictive analytics , transforming operations with automation, or driving customer engagement with intelligent platforms, we are the trusted partner for organizations ready to embrace a smarter, more efficient future. We are looking for a hands-on Senior QA Consultant to lead end-to-end testing of AI and Generative AI applications across enterprise environments. This role combines strong expertise in traditional QA engineering with modern AI evaluation and validation practices. The ideal candidate will drive quality assurance initiatives for RAG pipelines, multi-agent systems, OCR and Speech-to-Text solutions while ensuring production grade quality outcomes in regulated industries such as Finance, Healthcare, and Insurance. The successful candidate will lead a small QA pod, collaborate closely with engineering, AI/ML, product, and business teams, and act as the client-facing QA owner for enterprise AI engagements. This role requires strong technical leadership, automation expertise, AI evaluation capabilities, and excellent stakeholder management skills. Experience Requirements • 7–10 years of experien