Systems Engineer Support Platform Jobs

Optical Engineer (Associate) Company: The Boeing Company Boeing Defense, Space & Security (BDS), Laser and Electro-Optical systems (LEOS) seeks an Optical Engineer to support development of high performance Directed Energy Systems and Electro-Optical Systems . Position Responsibilities : Assist in development and validation of requirements for electro-optical systems, sensor, laser, and other electromagnetic systems and components. Assist in developing architectures to integrate multiple systems into higher level systems and platforms. Perform trade studies, modeling, simulation, and other forms of analysis to predict component, interconnects and system performance and to optimize design around complex requirements, Assist in designing complex electro-optical and laser systems. Assist in developing new and improved modeling and simulation techniques. Assist in development and implementation of critical tests to validate performance of designs to requirements. Support product lifecycle with guidance and support to resolve complex issues. Support project management by preparing and presenting project status data. Perform some work in a clean room environment. This position is expected to be fully on site in Albuquerque, NM. Basic Qualifications (Required Skills/Experience) : Ability, after starting in the position, to obtain U.S. Top Secret/SCI Security Clearance for which the U.S. Government requires U.S. Citizenship. 1+ years minimum of related experience. Education or work experience in Electro-Optics . Experience with Electro Optical (ex: producing specifications, tolerances, simulations, asse

About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role Mach Industries is seeking a Senior or Principal Manufacturing Engineer to own the development, qualification, and scaling of laser manufacturing processes across the company. This role spans laser cutting, welding, and part marking, along with evaluating new laser technologies that can improve how we manufacture hardware. Your initial scope will include TRUMPF part-marking cells, the TruLaser Cell 3000 for prototyping and process development, and the TruLaser Cell 7040 for production laser cutting and welding. You will own the complete manufacturing approach, including process development, programming, tooling, workholding, automation requirements, inspection, and production readiness. The 3000 and 7040 platforms both support cutting and welding, with capabilities dependent on their installed configurations. This is a hands-on engineering role. You will work directly with equipment, technicians, design engineers, Quality, and Automation to move from initial trials to dependable production. You will develop flexible processes that support high-mix, low-volume development work as well as repeatable, higher-rate manufacturing, and transfer validated processes from Huntington Beach into Mach’s production facilities Key Responsibilities Own laser cu

A Career with Point72's Technology Team As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications. As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business. WHAT YOU'LL DO Build and operate high-performance network platforms that support low-latency trading systems and critical business applications Design and deploy scalable campus, data center, and wide-area network architectures to meet growth and availability targets Implement and manage network security controls, firewall policies, and segmentation to protect sensitive systems and data, strengthening our defensive posture Automate network provisioning, configuration, and validation using scripting and infrastructure-as-code techniques to reduce manual work and accelerate deployments Troubleshoot and resolve complex network incidents, perform root-cause analysis, and drive post-incident improvements to increase reliability and reduce recurrence Partner with application, security, and operations teams to optimize network performance for latency-sensitive and high-throughput workloads Lead network upgrade, capacity planning, and vendor coordination projects from design through te

The IT SaaS Engineering Team plays a critical role in enabling MongoDB’s post-sales business processes, including Customer Success, Support, Renewals, Services, and account management workflows. By leveraging Salesforce and related business systems, the team ensures that post-sales teams have the tools, automation, security, and governance needed to effectively manage customer relationships, support customer outcomes, improve operational efficiency, and drive long-term customer growth. With deep expertise in Salesforce development, platform governance, automation, integrations, and system operations, the team continuously enhances the CRM platform to support evolving post-sales business needs. The team partners closely with stakeholders across Customer Success, Technical Services, Revenue Operations, Sales Operations, Billing, Security, Compliance, and Engineering to deliver scalable, secure, and reliable Salesforce solutions. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Role Overview We are looking for a highly experienced Lead Salesforce Engineer to drive the architecture, design, and evolution of critical Salesforce and CRM solutions supporting MongoDB’s post-sales business processes. This role combines deep technical leadership, hands-on solution design, cross-functional stakeholder partnership, people management, and a modern engineering mindset that embraces AI-powered development responsibly to improve productivity, quality, and long-term platform health. The ideal candidate will have strong experience designing scalable Salesforce solutions for complex customer lifecycle processes, including customer success operations, support workflows, renewals, account management, customer health, and post-sales automation. What you’ll do Lead the architecture, design, and development of scalable Salesforce solutions supporting post-sales teams, including Customer Success, Support, Renewals, Services, and account managemen

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. About our Team: Micron’s AI Automation and Data Engineering team drives enterprise data strategy and innovation by delivering scalable data platforms that power advanced analytics, artificial intelligence, and business automation. The team partners across engineering, operations, and business functions to modernize data ecosystems and enable data-driven decision making. Position Overview: Micron is seeking a Senior AI Automation Data Engineer to design, build, and scale modern enterprise data platforms that support AI, automation, analytics, and digital transformation initiatives. This role will focus on cloud-based data solutions, enterprise data modernization, and the development of secure, governed, and AI-ready data products! Responsibilities: Design, develop, and maintain scalable data pipelines and integration frameworks for structured and unstructured data. Build and optimize cloud-based data solutions using Snowflake and AWS and/or GCP technologies. Lead modernization efforts by migrating legacy data platforms and implementing ETL/ELT architectures. Develop AI-ready datasets and data products that enable analytics, machine learning, generative AI, and automation initiatives. Establish data governance, security, monitoring, and CI/CD standard processes to ensure reliable and compliant data platforms. Minimum Qualifications: Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related technica

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Staff Software Engineer – Data Do you want to join a team of talented engineers building the next generation of real-time data platforms that power analytics and data-driven experiences across PlayStation? As part of our Data Platform team, you will play a key technical leadership role in designing and evolving the Real-Time Analytics Platform (RTAP), enabling high-throughput, low-latency analytics and stream processing at PlayStation scale. The Software Engineers within our Platform Engineering Group design, build, document, and operate large-scale distributed data platforms that support real-time and near real-time analytics across PlayStation. You will solve complex distributed systems challenges, evolve our streaming and analytics architecture, integrate AI-powered platform capabilities, and improve scalability, reliability, performance, and developer productivity. We’re looking for someone who is passionate about distributed systems, real-time analytics, and building scalable data platforms. You will work closely with Engineering, Product, Infrastructure, Security, and Data Engineering teams to shape technical strategy, influence architecture across organizations, mentor engineers, and help drive the long-term evolution of PlayStation’s data plat

About the Role As a Hardware Security Engineer, you’ll contribute to building open, transparent, and secure AI systems. You’ll have the opportunity to work on projects that safeguard corporate assets by implementing and operating preventative and reactive security controls while collaborating with teams and stakeholders across the company. We’re looking for an intern that is interested in building AI-assisted security apps. Responsibilities Design, prototype, and implement security solutions for AI infrastructure across hardware, firmware, operating systems, and cloud services, including BMCs, TPMs, secure boot chains, networking interfaces, and workload identity systems. Assess and improve the security posture of server and accelerator platforms, including firmware update processes, device identity, trusted execution, and hardware-backed cryptography. Support the secure platform lifecycle, from device onboarding, provisioning, and inventory through configuration validation and decommissioning. Build automation and internal tools in Python, Bash, or similar languages to collect platform telemetry, detect configuration drift, and support incident investigation. Build AI-assisted security applications for asset classification, anomaly detection, and detection-and-response workflows. Partner with IT and infrastructure teams to implement and enforce identity, access-control, endpoint, and privileged-access security practices. Research and evaluate emerging technologies such as confidential computing, remote attestation, hardware roots of trust, and secure device management. Write clean, well-documented code, technical designs, test plans, and security findings. Requirements Actively pursuing a degree in Electrical Engineering, Computer Science, Software Engineering, or a related field expected by Summer 2027 Foundational understanding of computer architecture, operating systems, networking, embedded systems, digital logic, or electronics Strong programming skills

Here's a summary of the role: Love solving complex integration challenges and building seamless connections between enterprise systems? As a Senior BSA - Integration & Business Applications Engineer at Diligent, you will design, build, maintain, and support scalable integration solutions connecting cloud and on-premises applications across the business. You will work with Boomi, Workato, AWS, APIs, and enterprise applications to automate business processes, improve data quality, and enable AI-driven innovation. You will collaborate with teams across Finance, Sales, People, Product, Engineering, Customer Success, and other functions to understand business needs and deliver secure, reliable, and supportable solutions. The role also includes structured Tier 1 support for Atlassian applications, including Jira, Jira Service Management, and Confluence, helping users resolve common issues, identifying recurring problems, and improving the operational experience of the platforms you support. Here's a breakdown of what you'll do (not all of it, just the important stuff): Design, develop, deploy, and support enterprise integration solutions using Boomi, Workato, AWS, APIs, webhooks, and related technologies. Build secure, scalable APIs, data transformations, integration workflows, and transaction processes across platforms including Salesforce, NetSuite, Jira, Jira Service Management, Confluence, analytics platforms, and AWS-based applications. Apply integration patterns such as API-led integration, scheduled workflows, event-driven processing, file-based exchange, and transaction orchestration. Perform data mapping, validation, reconciliation, error handling, testing, monitoring, and post-release validation to ensure reliable and accurate data flows. Troubleshoot production integrations, diagnose root causes, optimize performance, participate in incident and problem management, and maintain runbooks and operational documentation. Provide structured Tier 1 support for Ji

Work Flexibility: Remote As a Senior Lead, Data Engineering, you will serve as a technical leader who helps shape the future of enterprise data solutions. In this role, you will drive complex data initiatives, influence technical strategy, and partner with teams across the organization to build scalable, high-impact data products. This is an opportunity to solve challenging business problems while mentoring fellow engineers and elevating data engineering best practices. What You Will Do Lead the architecture, development, and modernization of scalable enterprise data platforms that support global procurement analytics and business transformation. Define and help execute a multi-year data engineering strategy focused on platform scalability, reliability, automation, technical debt reduction, and long-term maintainability. Design, build, and optimize Azure-based data solutions using technologies such as Databricks, Delta Lake, Azure Data Factory, Azure DevOps, CI/CD pipelines, and infrastructure automation. Integrate and harmonize data across multiple ERP systems by standardizing supplier, purchasing, and master data into common enterprise data models. Partner with procurement analysts, architects, engineers, and business stakeholders to translate complex business needs into reusable, scalable data products and engineering solutions. Establish engineering standards, conduct architecture reviews, improve documentation, and mentor engineers to raise the overall technical capability of the team. Identify and implement AI-enabled approaches that accelerate development, improve data quality, automate documentation, support testing, and enhance analyst productivity. Evaluate and recommend tools, frameworks, patterns, and platform investments that improve performance, reliability, security, governance, and operational ef

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Software Engineer, Enterprise Apps on the CX Shared Agent Platforms and SFDC Solutions team within Coinbase's Enterprise Applications and Architecture org, you'll build the platforms and services that power customer experience and compliance operations across Coinbase. This team develops scalable internal tools, agent workflows, and integrations that help CX agents resolve customer issues and manage KYC and compliance processes with greater speed and accuracy. You'll own full-stack development of services and applications that directly improve agent productivity and customer satisfaction at scale. What you'll do: Build and ship full-stack services and applications using Golang, gRPC, TypeScript, and React to support CX agent workflows and automation. Own the design, implementation, and integration of third-party platforms (Salesforce, Maestro QA, Assembled) that extend Coinbase's internal CX tooling capabilities. Drive platform modernization efforts, including support for strategic platform transitions and evolving the agent platform landscape. Partner with product, design, security, and data teams to deliver cross-functional solutions to complex operational and compliance challenges. Lead code reviews, architecture discussions, and testing practices that raise the quality bar across the team and support reliable, high-traffic production systems. Identify and mi

Senior Backend Software Engineer About Syllo Syllo is on a mission to transform litigation. Our product is a unified litigation platform that enables lawyers and paralegals to safely harness the power of language models and agentic AI throughout the litigation life cycle. Since going to market, we have gained a diverse group of enterprise customers, including some of the biggest law firms and corporations in the country, and we are quickly expanding. By reducing the expense of litigation industry-wide, we aim to improve access to high-quality representation and promote the alignment of legal outcomes with merit. About the Role We’re looking for a Senior Back-End Engineer who is excited to build and scale systems that power intelligent data experiences. If you’re passionate about clean architecture, reliable APIs, and high-performance infrastructure — and you love working in a dynamic startup environment — we’d love to meet you. The Responsibilities Design, build, and maintain Syllo’s backend systems and APIs to support our data platform. Collaborate closely with front-end engineers, product managers, and data teams to deliver scalable, high-quality features. Write clean, maintainable, and well-tested code. Work on system design and architecture to improve performance, reliability, and scalability. Integrate data sources and third-party tools as needed to enhance platform capabilities. Participate in technical design discussions, peer code reviews, and continuous improvement initiatives. Qualifications 6+ years of professional engineering experience. Strong programming skills in Ruby or Python. Experience developing APIs using frameworks such as Ruby on Rails, Flask, or Django. Proficiency with relational databases, full-text search engines, and/or vector databases. Familiarity with distributed systems and cloud technologies (e.g., GCP, Pub/Sub, Kafka). Exce

Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role We are looking for a seasoned Systems level Linux engineer / Linux internals expert to help us build our next generation of command connector product that turns any legacy camera into a cloud-native, AI-searchable node. Under the hood, it's managing dozens of concurrent video streams, translating disparate camera protocols into a single unified pipeline, and feeding all of it into CV models / inference run at the edge of the device itself. We currently support 100K+ customer cameras on this product and looking for more technical talent to help our growth. What You'll Do Reading kernel oops/panic traces Debugging GPU driver issues Working with boot/security subsystems like secure boot and luks disk encryption Networking internals (routing, firewalling, link-layer issues) RAID array management (mdadm, disk failure/rebuild

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand. Developer Productivity owns the end-to-end experience of how engineers and researchers at Anthropic develop, build, test, and ship code at scale. This role focuses on the configuration and experimentation systems that let teams safely roll out changes, run controlled experiments, and make data-driven decisions across our products and infrastructure — from feature flagging and dynamic configuration to A/B testing platforms that support both research and production workloads. Responsibilities Own the technical strategy and roadmap for config and experimentation infrastructure, translating team-level goals into concrete execution plans and partnering with teams focused on deployment, testing, and more Maintain and enhance the architecture for feature flagging, dynamic configuration, and experimentation systems, ensuring the hardest problems get solved — whether by you directly or by working through others Design and build scalable, reliable distributed infrastructure and shared libraries that support high-volume experimentation and config workloads across all engineering teams Own and evolve the platforms and tooling that let engineers and researchers safely ship config changes, run experiments, and measure impact

Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role We are looking for a seasoned Systems level Linux engineer / Linux internals expert to help us build our next generation of command connector product that turns any legacy camera into a cloud-native, AI-searchable node. Under the hood, it's managing dozens of concurrent video streams, translating disparate camera protocols into a single unified pipeline, and feeding all of it into CV models / inference run at the edge of the device itself. We currently support 100K+ customer cameras on this product and looking for more technical talent to help our growth. What You'll Do Reading kernel oops/panic traces Debugging GPU driver issues Working with boot/security subsystems like secure boot and luks disk encryption Networking internals (routing, firewalling, link-layer issues) RAID array management (mdadm, disk failure/rebuild

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. Inference systems are highly performance sensitive distributed systems. Inference serves hundreds of thousands of customers every day, and the size & span of the inference fleet requires sophisticated routing, scaling, and networking systems. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms. Key responsibilities Design, build, and maintain the distributed systems that serve Claude to millions of users worldwide Develop resilient, flexible systems that adapt in real time to real-world events Develop intelligent request routing, load balancing, and traffic management systems across thousands of accelerators Maximize compute efficiency across the fleet by autoscaling and orchestrating production, research, and experimental workloads Build and operate production-grade deployment pipelines for releasing new models to users Provide high-performance inference infrastructure that enables researchers to develop next-generation models Integrate new AI accelerator platforms and support inference for new model architectures Minimum qualifications Proficiency in Python or Rust Software engineering experience building and operating distributed systems in produ