Sr Systems Engineer Jobs

Sr. Solutions Architect (L6) The Role As a Sr. Solutions Architect, you are an expert-level technical leader responsible for the organization's most complex customer engagements. You drive consumption strategy, own executive-level relationships, and serve as the definitive technical authority for your accounts. You have declared your archetype—a recognized technical specialization that makes you a force multiplier across your team and region. You operate at the intersection of deep technical expertise, strategic account planning, and executive influence. The Impact You Will Have Drive the technical and consumption strategy for the organization's most complex customer engagements, directly influencing platform adoption and revenue growth. Own senior-level technical relationships — serving as a trusted advisor on enterprise data and AI strategy Lead the most complex architecture engagements: multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale Operate as an Expert on the Databricks Platform with a declared archetype — actively mentoring others and driving horizontal impact across your team Develop and execute competitive strategies for your customers, positioning Databricks against incumbent and emerging platforms Orchestrate cross-functional teams (DSAs, SSAs, Partners, Product) to deliver enterprise-grade solutions Coach and develop junior SAs (L3–L5) on technical depth, customer engagement, and use case prioritization Contribute to Field Engineering thought leadership through customer-facing content, workshops, and community engagement What We Look For 8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role Expert-level coding proficiency — Python, SQL, and ideally Spark/PySpark. You will complete a live coding assessment and a platform build during the interview Deep expertise in enterprise data architecture: distributed systems at scale, stre

FEQ327R220 Sr. Solutions Architect (L6) The Role As a Sr. Solutions Architect, you are an expert-level technical leader responsible for the organization's most complex customer engagements. You drive consumption strategy, own executive-level relationships, and serve as the definitive technical authority for your accounts. You have declared your archetype—a recognized technical specialization that makes you a force multiplier across your team and region. You operate at the intersection of deep technical expertise, strategic account planning, and executive influence. The Impact You Will Have Drive the technical and consumption strategy for the organization's most complex customer engagements, directly influencing platform adoption and revenue growth. Own senior-level technical relationships — serving as a trusted advisor on enterprise data and AI strategy Lead the most complex architecture engagements: multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale Operate as an Expert on the Databricks Platform with a declared archetype — actively mentoring others and driving horizontal impact across your team Develop and execute competitive strategies for your customers, positioning Databricks against incumbent and emerging platforms Orchestrate cross-functional teams (DSAs, SSAs, Partners, Product) to deliver enterprise-grade solutions Coach and develop junior SAs (L3–L5) on technical depth, customer engagement, and use case prioritization Contribute to Field Engineering thought leadership through customer-facing content, workshops, and community engagement What We Look For 8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role Expert-level coding proficiency — Python, SQL, and ideally Spark/PySpark. You will complete a live coding assessment and a platform build during the interview Deep expertise in enterprise data architecture: distributed systems at

JOB ID: FEQ327R160 Location: London, United Kingdom Industry: Transport-Industry Recruiter: Dina Hussain The Role As a Sr. Solutions Architect, you are an expert-level technical leader responsible for the organisation's most complex customer engagements. You drive consumption strategy, own executive-level relationships, and serve as the definitive technical authority for your accounts. You have declared your archetype—a recognised technical specialisation that makes you a force multiplier across your team and region. You operate at the intersection of deep technical expertise, strategic account planning, and executive influence. The Impact You Will Have Drive the technical and consumption strategy for the organisation's most complex customer engagements, directly influencing platform adoption and revenue growth. Own senior-level technical relationships — serving as a trusted advisor on enterprise data and AI strategy Lead the most complex architecture engagements: multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale Operate as an Expert on the Databricks Platform with a declared archetype — actively mentoring others and driving horizontal impact across your team Develop and execute competitive strategies for your customers, positioning Databricks against incumbent and emerging platforms Orchestrate cross-functional teams (DSAs, SSAs, Partners, Product) to deliver enterprise-grade solutions Coach and develop junior SAs (L3–L5) on technical depth, customer engagement, and use case prioritisation Contribute to Field Engineering thought leadership through customer-facing content, workshops, and community engagement What We Look For 8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role Expert-level coding proficiency — Python, SQL, and ideally Spark/PySpark. You will complete a live coding assessment and a platform build during the interview Deep e

JOB ID: FEQ427R344 Location: London, United Kingdom Industry: Banking, Financial Services -Industry (UK&I Enterprise) Recruiter: Dina Hussain The Role As a Sr. Solutions Architect, you are an expert-level technical leader responsible for the organization's most complex customer engagements. You drive consumption strategy, own executive-level relationships, and serve as the definitive technical authority for your accounts. You have declared your archetype—a recognized technical specialization that makes you a force multiplier across your team and region. You operate at the intersection of deep technical expertise, strategic account planning, and executive influence. The Impact You Will Have Drive the technical and consumption strategy for the organization's most complex customer engagements, directly influencing platform adoption and revenue growth. Own senior-level technical relationships — serving as a trusted advisor on enterprise data and AI strategy Lead the most complex architecture engagements: multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale Operate as an Expert on the Databricks Platform with a declared archetype — actively mentoring others and driving horizontal impact across your team Develop and execute competitive strategies for your customers, positioning Databricks against incumbent and emerging platforms Orchestrate cross-functional teams (DSAs, SSAs, Partners, Product) to deliver enterprise-grade solutions Coach and develop junior SAs (L3–L5) on technical depth, customer engagement, and use case prioritization Contribute to Field Engineering thought leadership through customer-facing content, workshops, and community engagement What We Look For 8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role Expert-level coding proficiency — Python, SQL, and ideally Spark/PySp

FEQ427R29 Solution Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark™, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Sr. Field Engineering Manager for the team. The impact you will have: Partner with the sales team to help customers understand how Databricks can help solve their business problems Provide technical leadership for customers to evaluate and adopt Databricks Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications Build and present references architectures, how-tos, and demo applications for customers Become an expert in, and promote Databricks inspired open-source projects (Apache Spark™, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars Travel to customers in your region What we look for: 7+ years in a customer-facing pre-sales, technical architecture, or consulting role Experience designing and architecting distributed data systems Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R Experience supporting Public Sector clients Have built solutions with public cloud providers such as AWS, Azure, or GCP Expertise in

Opportunity Overview: As the Sr. Manager, Applied Science, you will play a key role in building and scaling Cohere Health's AI capabilities. You'll lead a team of Applied Scientists focused on developing, evaluating, and deploying models that automate and augment complex clinical and administrative workflows. This team is responsible for the full lifecycle of applied machine learning from problem framing, rigorous attention to methods and experimentation, to partnering with AI Engineering to deploy and monitor models. You'll work with structured and unstructured healthcare data to generate insights and power intelligent systems that improve prior authorization and broader clinical decision-making. As a player-coach, you'll combine hands-on technical contributions with team leadership, helping to establish best practices, mentor team members, and drive high-impact solutions in close partnership with Product, Engineering, Clinical, and Analytics stakeholders. This is an opportunity to shape both the technical direction and team culture within a growing global organization. This is a remote-first role that may require travel to Boston, MA for new hire onboarding and occasional in-person team meetings and company events. What you'll do: Lead, mentor, and develop a team of Applied Scientists, fostering a collaborative, high-performance environment Translate complex healthcare business and clinical problems into scalable machine learning and data science solutions Validate those solutions with methodological and statistical rigor to assure that our Clinical AI is reliable, reproducible, and safe Partner with AI Engineering to scale those solutions to create real healthcare impact! Partner cross-functionally with Clinical Operations, Product, Engineering, and platform teams to align technical research and validation work with business priorities Communicate technical concepts, methodologies, and insights clearly to both technical and non-technical stakeholders Contri

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: Freddie Mac is seeking a hands-on AI engineering leader to serve as Director within the Single-Family Acquisitions (SFA) division, reporting to the Sr. Director of GenAI Engineering & Enterprise Rules Platform. This role owns the technical core of SFA’s AI Systems Solutioning, including Agent Engineering & Design. This includes (1) the overall design and execution of AI Systems development from Ideation & Business casing to Specification creation & execution through deployment, (2) the evaluation harnesses and graded assessment sets that determine whether an agent or AI System is ready for production, and (3) the operating layer that keeps agents accountable after go-live. The role is approximately 70% hands-on architecture and code and 30% leadership of a GenAI engineering efforts and platform and vendor delivery partners. The Director is forward-deployed by design. The role partners with the divisional GenAI PMO, Enterprise Operations & Technology (EO&T), and Digital Experience, and works alongside the Enterprise Business Rules platform team so that agent-driven and rule-driven decisioning share a common domain vocabulary, evaluation approach, and traceability model. Our Impact Freddie Mac was established by Congress to provide liquidity, stability, and affordability to the U.S. housing market. Within Single-Family Acquisitions, our technology platforms and decisioning systems are foundational to ensuring loans sold to Freddie Mac meet eligibility, credit risk, and regulatory requirements at scale. Your Impact This role is a player / coach model. You wi

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. We’re looking for a Manager/ Sr. Manager to lead Finance Analytics—redefining how Finance leverages data, automation, and AI to operate at scale. This role sits at the intersection of analytics engineering, data product development, and applied AI, and is responsible for building both the team and the systems that power next-generation Finance. You won’t just deliver dashboards—you’ll lead the development of scalable data products, intelligent workflows, and AI-driven applications that transform how Finance operates, makes decisions, and drives efficiency. This is a highly cross-functional leadership role requiring a balance of strategy, execution, and people leadership. You’ll partner closely with Finance, business stakeholders, and Engineering to translate ambiguity into durable, production-grade solutions. In this role, you will: Set vision and lead execution Define and drive the roadmap for Finance Analytics, aligned to business priorities and long-term data strategy. Translate ambiguous business problems into scalable data products, AI solutions, and automation initiatives. Build and lead a high-performing team Hire, develop, and mentor a team of analysts, analytics engineers, and data product builders. Establish best practices across data modeling, experimentation, an

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your opportunity New Relicでは現在、当社の成長を支える中核メンバーとして、シニアテクニカルサクセスマネージャー（Sr Technical Success Manager）を募集しています。SREやソフトウエア開発エンジニア、インフラエンジニアなど複数のエンジニアリングロールの方々と日々ディスカッションをしていたり、統括するCTOやテックリードの方々と技術的なコミュニケーションを行う機会が多い方は大歓迎です。サービス開発/運用を実際に行っているメンバーが多く、現場での経験がすぐに役立つロールのため、社外の接客の経験が浅い場合でもご安心ください。オンボードのためのトレーニングも揃っています。 Technical Success Managerの主な業務は、New Relicの営業、Solutions Consultant、 Technical Support Engineerやマーケティングチームなどと共に、クラス最高のNew Relicソリューションをお客様のビジネスに効果的にご利用いただくためのご契約後の活用促進や業務改善の支援を行うことです。また、既存のお客様の活用状況を分析し、様々な社員がデータドリブンで動けるた、めの環境整備も行っています。 当社のTechnical Success Managerとして、さまざまな業界やシステムに対する技術的なサポートをすることで、多種の技術やお客様のビジネスニーズ、市場動向を把握することができます。ご契約後のお客様の成長を助けながら信頼関係を築き、お客様の成功とビジネス業績の改善を好循環で回していくというカスタマーサクセスの本質を体現するエキサイティングなキャリアを築くことが可能です。当社には、これまでの活動を通じて培われた豊富な成功実績とノウハウがあります。お客様と密接に関わりながら、共に目標を追求することに情熱をお持ちの方のご応募を、心よりお待ちしております。 What you'll do お客様のオンボーディング、ユーザー環境への適用、そして継続的な利用を確実なものとし、お客様を成功へ導きます。 New Relic の製品とサービスの全ての面で技術的なリーダーシップを発揮します New Relic を利用したリアルタイムパフォーマンスの問題解決をできるようにお客様のトレーニングを支援します お客様の状況を見ながらサービス解約のリスクを特定し、そのリスクを排除するために積極的に取り組みます 他の Technical Support Engineer や Solution Consultant, Sales などと連携してお客様の問題を迅速に解決します お客様の声を拾い、New Relic がより良いサービスを提供するために内部にフィードバックを伝えます 特定の業務ドメインのスペシャリストとして業界固有の課題においてチームメンバーを牽引し、個人およびチームの潜在能力の追求と拡大を促進します。計画的な能力開発を提供し、全員が最高の仕事ができる機会を確保します。 This role requires アプリケーションを業務で設計・開発した経験がある（バックエンド and/or フロントエンド） AWS、Azure、GCPなどのパブリッククラウドサービスを利用したシステム構築を業務で経験したことがある 本番等で稼働するシステムのトラブルシュートを業務でしたことがあり、問題検知から恒久対応までのトラブル管理全般を行ったことがある 顧客または社内の他部門のステークホルダーに対

Become a part of our caring community The Senior Process Improvement Professional analyzes and measures the effectiveness of existing business processes and develops sustainable, repeatable and quantifiable business process improvements. The Senior Process Improvement Professional work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. The Senior Process Improvement Professional researches best business practices within and outside the organization to establish benchmark data. Collects and analyzes process data to initiate, develop and recommend business practices and procedures that focus on enhanced safety, increased productivity and reduced cost. Determines how new information technologies can support re-engineering business May specialize in one or more of the following areas: benchmarking, business process analysis and re-engineering, change management and measurement, and/or process-driven systems requirements. Begins to influence department’s strategy. Makes decisions on moderately complex to complex issues regarding technical approach for project components, and work is performed without direction. Exercises considerable latitude in determining objectives and approaches to assignments. Use your skills to make an impact Required Qualifications The Sr. Process Improvement Professional must meet one, (1) of the following requirements: Licensed Professional (LSW) in the state of Kentucky OR ability to obtain, Master’s degree from an accredited university or college in social work, psychology or related health and human services area with a minimum of one, (1) year professional experience in case management.

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! About the Role Cohere is seeking an Indirect Tax Sr. Associate / Tax Manager to manage global indirect tax compliance, strategy, and reporting, focusing on VAT/GST and sales tax in Canada, the U.S., and other key markets. You’ll manage tax audits, optimize processes, collaborate cross-functionally, drive process and efficiency initiatives, and implement strategies to minimize liabilities while ensuring compliance. Key Responsibilities Manage end-to-end indirect tax compliance, including filings, registrations, and remittances for global VAT/GST, and US sales and use tax Streamline tax workflows, leverage tax automation tools and AI, and enhance data governance to improve efficiency Develop and implement indirect tax strategies aligned with Cohere’s business growth, product offerings (e.g., SaaS, AI services, Sovereign AI), and international expansion. Manage responses to tax audits and inquiries from authorities. Identify and mitigate tax risks, ensuring alignment with global tax regulations and internal policies Address digital services taxes and electronic services implications. Partner with Finance, Legal, and Product teams t

Datadog's integrations are the connective tissue between our platform and the technologies our customers run in the real world. As a Sr. PM on the Agent Integrations team, you will own the vision, prioritization, and execution for 100+ integrations that run directly inside the Datadog Agent from foundational infrastructure (MySQL, Kafka, Kubernetes) to the rapidly growing landscape of self-hosted AI and on-premise enterprise technologies. This is a high-impact, breadth-first role at the intersection of infrastructure observability and the frontier of AI-native workloads. At Datadog, we place value in our office culture; the relationships it builds, the creativity it brings, and the collaboration of being together. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Own the Agent Integrations roadmap. Determine which new integrations to build and which existing ones to improve, balancing customer demand, business impact, and engineering capacity across a catalog of 100+ technologies. Drive the expanding AI integration surface. Lead product strategy for self-hosted AI workloads, including LLM inference frameworks (e.g., Hugging Face TGI, BentoML), AI agents, MCP servers, and model orchestration tools, so Datadog customers can monitor every layer of their AI stack. Expand on-prem and hybrid coverage. Prioritize and execute new integrations for on-prem technologies including storage systems, HPC schedulers, network devices, and legacy enterprise platforms where customers run critical workloads. Build observability for ERP systems. Define and drive Datadog's strategy for monitoring enterprise ERP platforms (SAP, Oracle EBS/Fusion, Microsoft Dynamics) covering performance, job execution health, and integration layer telemetry so enterprise customers can observe their ERP stack alongside the rest of their infrastructure. Analyze adoption and customer feedback at scale. Use data from multiple sources to

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Senior Staff Rust Developer to join our Platform Convergence Team. This is a hybrid role based in San Jose, CA reporting to the Sr. Director, Software Engineering. Join us to build a new platform from the ground up that can scale hundreds of millions of users with high reliability and low latency. You will design and implement distributed system and core infrastructure components while collaborating closely with various stakeholders. What you’ll do (Role Expectations) Design and build a low-latency, high-throughput data forwarding plane using Rust, leveraging its async/await model for efficient I/O and service-oriented infrastructure Develop distributed, scalable systems with a focus on concurrency, fault tolerance, and messaging Implement and maintain gRPC-based APIs and services to integrate forwarding plane capabilities with control and orchestration layers Optimize system performance through pr

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. As an STPG PE System Engineer , you will support SSD products from product development and qualification through manufacturing ramp and high-volume production, with focus on product quality, manufacturing readiness, yield improvement, and technical issue resolution. This aligns with the established STPG Product Engineering mission of transitioning products from design through qualification and high-volume manufacturing. You will collaborate with cross-functional engineering teams including Product Engineering, Firmware, NAND, ASIC, Hardware, Test, Manufacturing, and Quality to deliver robust and manufacturable SSD products. Responsibilities Drive SSD product engineering execution including manufacturing test bring-up, product qualification, firmware/test validation, and production readiness . Analyze test yield, characterization data, test limits, and manufacturing performance to identify issues and drive continuous improvement. Perform system-level failure analysis and root-cause investigation , working across Firmware, NAND, ASIC, Hardware, and Manufacturing teams to resolve complex product issues. Develop and improve test, debug, data analytics, automation, and AI-enabled engineering solutions to improve

Sr. Mobile System Engineer — Hashimoto, Japan. Apply via Workday.