Senior Field Service Engineer Jobs

(FEQ427R351) Senior Specialist Solutions Engineer - Platform Security and Cloud Infrastructure As a Senior Specialist Solutions Engineer, you will guide customers in building big data solutions on Databricks that span a large variety of use cases. This is a customer-facing role that works with and supports the Field Engineering pre-sales teams and requires hands-on production experience with cloud infrastructure and big data technologies. Specialist Solutions Engineers help customers through the design and successful implementation of essential workloads while aligning their technical roadmap to expand the use of the Databricks Data Intelligence Platform. As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs to continuously consolidate the skills in your area of speciality. The impact you will have: Technical thought leader : Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural and security design to development and deployment best practices, including automation Assist Solution Architects with more advanced aspects of the technical sale, including custom proof of concept content, workload sizing, and custom architectures Cloud Infra & Security Expertise Architect production-level cloud native governed workloads Provide technical expertise in cloud infrastructure and security relating to our Databricks Lakehouse Platform Community & Adoption : Enable adoption by leading workshops, hackathons, and conference presentations, while actively contributing to the broader Databricks community. What we look for: Pre-sales or post-sales experience working with external customers (or internal clients/stakeholders) across industries 4+ years of experience designing Cloud infrastructure/Security and services, s

Who Are We? Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster. The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman. P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman. The Opportunity The Forward Deployed Engineering (FDE) team tackles some of Postman's most strategic technical challenges. We partner directly with enterprise customers to solve problems that don't fit neatly into existing product boundaries, building production-grade solutions that often become core product capabilities. As a Sr. Forward Deployed Engineer, you'll operate at the intersection of engineering, product, and customer success. You'll deploy Postman's critical infrastructure into customer environments, solve complex distributed systems challenges, and build the enterprise foundations that enable customers to safely adopt AI at scale. This isn't consulting or professional services. You're an engineer building production systems alongside customers, turning real-world deployments into durable platform capabilities used by thousands of organizations. This team will build 0-to-1 products from scratch - innovative, strategic initiatives designed to unlock hundreds of millions of dollars in new revenue. If you enjoy difficult engineering problems, working directly with customers, and building products from the field

Req ID: CSQ327R55 Location: UAE You will be based in the UAE and should be willing to relocate there or remain there. Databricks is redefining what organisations can achieve with data and AI. As the unified platform powering the world's most ambitious data-driven enterprises, we sit at the intersection of cloud migrations, AI transformation, and real-time intelligence and our customers challenge us every day to go further. As Manager, Forward Deployed Engineering , you will lead a high-performing team of Forward Deployed Engineers and AI Engineers at the forefront of this transformation. Partnering with Databricks' most strategic enterprise accounts, you will shape how leading organisations migrate to the lakehouse, build next-generation AI and GenAI systems, and unlock sustained business value from their data investments. As a people leader, you will build and scale a team that represents Databricks' highest standard of technical excellence and customer impact. Your team will partner with enterprises across industries to architect and deliver mission-critical solutions, from large-scale data migrations and legacy modernisation programs to cutting-edge generative AI, MLOps, and AI agent deployments. You will set the bar for delivery quality, grow world-class talent, and drive the strategic governance framework that ensures every engagement is executed with precision and measurable impact. The impact you will have: Drive regional performance targets including billable utilisation, team growth, and hiring while championing delivery excellence and customer success across the FDE portfolio Lead high-stakes enterprise engagements: partner with Account Executives, Engagement Managers, and Field Engineering leaders to position and deliver transformational PS programs spanning data migrations, AI/ML platforms, and advanced analytics Champion delivery governance and operational rigor: establish best practices for project oversight, risk management, and quality st

REQ ID: CSQ128R7 Location: London, United Kingdom - Remote location for candidates to be based in the United Kingdom region ONLY ( not remote from any other country) Mission The Forward Deployed AI Engineering (AI FDE) team is a highly specialised customer-facing AI team at Databricks. We deliver professional services (PS) engagements to help our customers build and productionize first-of-its-kind AI applications with a focus on GenAI. We work cross-functionally with AI/ML Product, Research, and Engineering to shape long-term strategic priorities and initiatives. We are looking for a world-class leader to lead and grow our UK AI FDE team. In this role, you will lead customers on their AI/ML transformation with Databricks, push the boundaries of our product, recruit and develop top data scientists/machine learning engineers, and manage a portfolio of key EMEA accounts. You will report directly to the Director AI FDE. The impact you will have: Lead and scale a world-class AI/ML professional services team, including hiring, mentoring, and building a team structure to support long-term growth and execution at scale Develop and expand executive relationships with EMEA customers and partners (including VP+, CIO/CDO-level stakeholders), acting as a trusted advisor during complex technical engagements and AI transformations Align with Field Engineering and Sales Leaders to define joint strategies for strategic accounts and ensure strong delivery coordination across functions Lead strategic AI PS initiatives, practice development, and standardised delivery processes; design scalable engagement models and reusable solutions for repeatability across the global team Shape cross-functional collaboration by influencing Product, R&D, and GTM—ensuring voice-of-customer insights and delivery learnings help inform the product roadmap and GTM strategy Own OKRs for AI-services led accounts, revenue, utilisation, and public references Represent Databricks as a thought le

FEQ327R691 As a Data Engineering and Warehousing Specialist Solutions Architect (SSA), you will lead the advanced technical strategy for your customers — owning complex architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are further developing a technical specialization and are recognized within the Field Engineering team for depth in the specific domain. This position can be remote. The Impact You Will Have Own the end-to-end technical strategy for your accounts, from discovery through production deployment and consumption growth Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering and real-time analytics Serve as a trusted technical advisor to customer architects, engineering leads, and Directors Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions Develop and declare an emerging technical specialization (archetype) — becoming a go-to resource for your team in that domain Orchestrate cross-functional resources (DSAs, SAs, Partners) to deliver comprehensive solutions for complex customer needs Influence product direction by providing structured feedback on customer requirements and competitive gaps What We Look For 6+ years in solutions architecture, technical pre-sales, or a senior hands-on technical role in the following areas: Data and Software Engineering: Deep hands-on experience with Apache Spark™ ecosystem (Spark Core, Spark SQL, Spark Streaming), message queues (e.g., Kafka), batch ingestion, performance tuning, and troubleshooting complex Spark workloads Data Applications Engineering: Experience building or supporting data-driven use cases, predictive analytics pipelines, or customer analytics

Production engineering is a field that involves crafting, building, and maintaining large-scale production systems with high efficiency and availability. It encompasses various areas, including software and systems engineering practices, storage, data management, and services. Professionals in the role of Production Engineers hold specialized knowledge and expertise across various domains, including storage architecture, high-performance distributed storage, data management, systems, networking, coding, database management, prioritization, continuous delivery and deployment, along with open-source cloud-enabling technologies such as Kubernetes, containers, and virtualization. Their responsibilities include ensuring storage architectures are reliable, scalable, and efficient. They optimize data placement and access patterns. They manage large-scale distributed storage systems and ensure low-latency data access for HPC and AI/ML workloads. Storage Production Engineers at NVIDIA ensure that our internal and external-facing GPU cloud services meet reliability and uptime goals as promised to the users while enabling developers to make changes to the existing system through careful preparation and planning while keeping an eye on capacity, latency, and performance. This role also requires a mindset focused on automating storage operations, improving data access efficiency, and optimizing storage performance. Much of our software development focuses on optimizing operations through automation, enhancing system responsiveness, and improving the efficiency of storage and production systems. Since Production Engineers are responsible for the big picture of how our systems interface with each other, we use a breadth of tools and approaches to tackle a broad spectrum of challenges. Practices such as proactive storage performance monitoring, automated fault detection and remediation, scalable data redundancy methods, and integration of intelligent

Adobe Risk Platform (ARP) is Adobe's centralized, adaptive system for detecting, preventing, and mitigating fraud and abuse across products and services, delivering robust security without degrading customer experience. It protects surfaces like Commerce, Stock, and Firefly with real-time risk decisions. As a Sr Staff Engineer on ARP, you'll set the architectural direction for risk mitigation across Adobe. You'll define the standards, patterns, and long-term technical strategy that let ARP and Adobe stay ahead of fraud and abuse as it evolves. What you'll do Architect systems built for the next three to five years of risk mitigation, while delivering impact iteratively and solving today's most important priorities along the way. Push the platform to the forefront of AI and ML to strengthen fraud and abuse detection. Lay the foundational building blocks of the Risk Platform that future risk-mitigation capability builds on, including the platform's shift toward event-driven, continuously-reasoning risk intelligence. Set architectural standards for risk-decisioning services that other teams across Adobe adopt. Share architectural thinking broadly, through design docs that become org-wide standards, white papers, tech talks, or cross-org design reviews. Simplify complex, interlinked systems into designs other teams can build on with confidence. Mentor senior and staff engineers across teams, growing the next generation of technical leaders. What you need to succeed Bachelor's or advanced degree in Computer Science or related field, or equivalent experience; Master's preferred. 12+ years architecting high-scale, highly performant platforms, and leading the technical teams that build them. Deep understanding of AI and ML, both to strengthen fraud detection and to counter AI-powered attacks. D

Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for custom LLMs Upskilling and advisory services to spread the impact of AI As a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: Partner with public sector clients to scope, collect feedback and implement solutions for complex problems, including spending up to two weeks per month in client offices for feedback and delivery. Architect production-grade applications that integrate AI models with full-stack frameworks, managing everything from interactive UIs to backend APIs and systems. Deploy and manage infrastructure within cloud environments, ensuring the highest levels of system integrity, security, scalability, and long-term reliability. Contribute to core platform features designed to be reused across diverse international client use cases. Partner with design, product, and data teams to build robust applications aligned with the broader technical architecture. Ideally you’d have: Bachelor’s degree in Computer Science or a related quantitative field 5+ years of post-graduation, full-stack engineering experience with demonstrated proficiency in React (required), TypeScript, Next.js, Python, Node.js, PostgreSQL or MongoDB plus hands-on experience with Docker, Kubernetes, and Azure

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. Senior Software Engineer – Logging, Diagnostics & Post-Release Incident Analysis Overview The PlayStation Portal Platform team is seeking a Senior Software Engineer to lead the design, development, and operation of Logging and Diagnostics infrastructure that enables rapid detection, investigation, and resolution of Performance, Stability, and Platform Quality issues occurring after products are released to customers. In this role, you will be responsible for building scalable Logging Architecture, Crash Diagnostics, and Incident Analysis Frameworks that empower engineering teams to perform efficient root cause analysis of field issues. You will collaborate closely with Engineering, Quality Engineering (QE), Customer Support, Security, and Product teams to reduce the time from issue detection to root cause identification and drive continuous improvements in product quality and reliability. We are looking for engineers who are passionate about quality, thrive on solving complex system-level problems, and take strong ownership in delivering exceptional user experiences through continuous improvement. Key Responsibilities Logging Architecture Define and drive the overall platform logging strategy. Design and impleme

Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for custom LLMs Upskilling and advisory services to spread the impact of AI As a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: Partner with public sector clients to scope, collect feedback and implement solutions for complex problems, including spending up to two weeks per month in client offices for feedback and delivery. Architect production-grade applications that integrate AI models with full-stack frameworks, managing everything from interactive UIs to backend APIs and systems. Deploy and manage infrastructure within cloud environments, ensuring the highest levels of system integrity, security, scalability, and long-term reliability. Contribute to core platform features designed to be reused across diverse international client use cases. Partner with design, product, and data teams to build robust applications aligned with the broader technical architecture. Ideally you’d have: Bachelor’s degree in Computer Science or a related quantitative field 5+ years of post-graduation, full-stack engineering experience with demonstrated proficiency in React (required), TypeScript, Next.js, Python, Node.js, PostgreSQL or MongoDB plus hands-on experience with Docker, Kubernetes, and Azure

Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for custom LLMs Upskilling and advisory services to spread the impact of AI As a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: Partner with public sector clients to scope, collect feedback and implement solutions for complex problems. Architect production-grade applications that integrate AI models with full-stack frameworks, managing everything from interactive UIs to backend APIs and systems. Deploy and manage infrastructure within cloud environments, ensuring the highest levels of system integrity, security, scalability, and long-term reliability. Contribute to core platform features designed to be reused across diverse international client use cases. Partner with design, product, and data teams to build robust applications aligned with the broader technical architecture. Ideally you’d have: Bachelor’s degree in Computer Science or a related quantitative field 5+ years of post-graduation, full-stack engineering experience with demonstrated proficiency in React (required), TypeScript, Next.js, Python, Node.js, PostgreSQL or MongoDB plus hands-on experience with Docker, Kubernetes, and Azure/AWS/GCP. Proven ability to architect scalable, production-grade applications with a stron

Summary: We are seeking an experienced Senior DevOps Engineer with over 8 years in the field to lead the design, implementation, and management of infrastructure and deployment pipelines across hybrid environments, including on-premises data centers and the cloud. This role requires deep expertise in AWS, Azure, Kubernetes, Infrastructure as Code (IaC), CI/CD, and monitoring tools. The engineer will collaborate closely with development, QA, and operations teams to ensure the delivery of reliable, scalable, and secure enterprise-grade applications. Additionally, the role involves mentoring junior team members and leading automation initiatives. Responsibilities: Manage and support hybrid infrastructure, including physical data centers, AWS, and Azure services. Design and implement Infrastructure-as-Code using tools like Terraform, Pulumi, and CloudFormation. Configure and maintain Kubernetes clusters, ensuring scalability and high availability. Build, maintain, and optimize CI/CD pipelines using Jenkins, GitLab CI, Bitbucket, and GitHub. Automate deployment, scaling, and monitoring processes. Set up and maintain observability using Grafana, Prometheus, and other monitoring tools. Perform root cause analysis of performance issues and participate in on-call support. Manage SSL/TLS and code signing certificates and implement infrastructure security best practices. Support compliance and audit requirements through documentation and monitoring. Collaborate with cross-functional teams to improve infrastructure reliability and delivery processes. Document processes in Confluence, track work in Jira, and contribute to knowledge sharing. Write root cause analysis and incident post-mortems to prevent future issues. Required Skills & Experience: 8+ years of experience in DevOps, Site Reliability Engineering, or related roles. Strong expertise with AWS and Azure services. Experience with Infrastructure-as-Code tools and GitOps. Proven experience with Kubernetes/EKS setup and

FEQ427R388 As an Senior Manager, Field Engineering, you will lead a broader team of technical customer advisors and help shape the strategy, roadmap, and operating model for a significant Field Engineering portfolio. You will scale impact beyond your immediate team through other leaders, cross-functional initiatives, reusable practices, and strong customer and partner relationships. This role typically leads Field Engineering professionals across a broader portfolio and may include responsibility for one or two managers. Depending on the assignment, you may support a major segment, a multi-country portfolio, or an equivalent area of complexity. THE IMPACT YOU WILL HAVE Lead, coach, and develop Field Engineering professionals and emerging people leaders across a broader portfolio. Set team strategy and roadmaps that connect customer needs, technical priorities, business outcomes, and broader Field Engineering goals. Increasingly influence the most important priorities for the portfolio and help teams see around corners over the next 3–6–12 months. Partner with Sales and cross-functional leadership to shape technical-win strategy, resource allocation, customer coverage, and execution plans. Build trusted relationships with senior customer stakeholders and use customer, market, and competitive insight to improve account and portfolio strategy. Establish repeatable inspection mechanisms across teams, including portfolio reviews, customer-health reviews, technical-risk reviews, and escalation processes. Coach leaders and senior practitioners through complex customer, technical, competitive, organizational, and performance situations. Build and share playbooks, tools, enablement, and operating mechanisms that increase productivity and consistency beyond one team. Influence Product, Engineering, Support, Professional Services, Marketing, and Partners on customer requirements, product gaps, and cross-functional priorities. Use AI and automation to create one-to-many impact

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. Social Finance, LLC seeks Senior Software Engineering Manager in San Francisco, CA: Job Duties: Lead one or multiple development teams through the full development life cycle. Challenge the status quo, embrace and foster innovation. Disrupt the industry by building the banking platform of the future. Grow the team, understand what your team needs, define how to find and assess candidates. Define the growth plan for individuals on your team. Hold the team accountable for delivery. Shape and support the team culture with an emphasis on continual improvement, learning, and fun. Generate ideas for new initiatives. Take initiative and produce timely results in a fast paced and sometimes ambiguous environment. Facilitate the definition of project scope, deliverables, and goals. Part-time telecommuting is an option. Hybrid work from SoFi offices in San Francisco, CA. Requirements: Master’s degree in Computer Science, Engineering (any field) or related quantitative discipline and (5) years of experience in the job offered or in any occupation in related field. Special Skill Requirements: 1.) Engineering management 2.) Agile SDLC methodologies 3.) Object-oriented programming and data structures 4.) Mobile application development using Android (Kotlin/Java) and iOS (Swift) 5.) Design and development of reusable

The Senior Site Reliability Engineer (SRE) is responsible for ensuring the reliability, availability, performance, and operability of production systems across our platforms, by applying software engineering practices to operations, with a focus on automation, observability, and incident response. Responsibilities: Own and improve the reliability, availability, and performance of production services in Google Cloud (GCP). Participate in incident management, including detection, triage, mitigation, escalation, and recovery. Use and improve incident workflows and tooling (e.g., ServiceNow) to ensure clear ownership and timely communication. Design, implement, and operate observability solutions including monitoring, logging, tracing, synthetics, and dashboards (e.g., Splunk Observability, OpenTelemetry ). Reduce operational toil through automation and engineering-led solutions, proactively introducing and driving SRE best practices. Support on-call rotations across multiple time zones, contributing to a sustainable 24/7 support model. Define, monitor, and report SLIs, SLOs, and error budgets for critical services. Drive and be accountable for best-in-class service availability through SRE principles, automation, and proactive reliability engineering. Essential skills and/or Certifications: Bachelor’s degree in Computer Science, Information Technology or related field Strong experience with cloud-native concepts and technologies, with a strong preference for Google Cloud Platform (GCP) and Kubernetes (GKE ). Proven experience with Site Reliability Engineering and production incident management , ideally using platforms such as ServiceNow. Experience with monitoring and observability tools, including metrics, logs, traces, and synthetics (e.g., Splunk Observability, OpenTelemetr