Technical Design Support Engineer Jobs

At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest open customer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust! As a Senior Solutions Engineer, you are the technical and consultative partner to the New Business and Account Management teams — enabling customers to understand and realize the value of Trustpilot’s platform during the sales process. You are responsible for translating customer needs into tailored solutions, designing integration approaches, and delivering technical credibility that drives confidence and conversion. Your work bridges technology and business outcomes, ensuring every deal is both commercially and technically sound. This is a high-impact, customer-facing role that combines technical expertise with commercial influence. Success is measured by deal conversion rates, technical win rates, and the quality of handover to implementation. What you’ll be doing: Technical Discovery: Partner with Account Executives to uncover customer needs, system environments, and integration requirements. Solution Design: Develop clear, scalable solutions that meet business objectives and align with technical feasibility. Product Demonstrations: Deliver tailored demos and presentations that articulate Trustpilot’s value, flexibility, and ROI. Proof-of-Concepts: Support pilot programs to validate functionality, integration, and impact prior to contract signature. Technical Enablement: Act as a trusted advisor throughout the sales cycle — answering technical questions and resolving blockers. Cross-Functional Collaboration: Work closely with Product, Engineering, and Implementation teams to ensure solution integrity and smooth handover. Documentation & Knowledge Transfer: Maintain accurate documentation for proposed solutions and integration re

At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest open customer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust! As a Senior Solutions Engineer, you are the technical and consultative partner to the New Business and Account Management teams — enabling customers to understand and realize the value of Trustpilot’s platform during the sales process. You are responsible for translating customer needs into tailored solutions, designing integration approaches, and delivering technical credibility that drives confidence and conversion. Your work bridges technology and business outcomes, ensuring every deal is both commercially and technically sound. This is a high-impact, customer-facing role that combines technical expertise with commercial influence. Success is measured by deal conversion rates, technical win rates, and the quality of handover to implementation. What you’ll be doing: Technical Discovery: Partner with Account Executives to uncover customer needs, system environments, and integration requirements. Solution Design: Develop clear, scalable solutions that meet business objectives and align with technical feasibility. Product Demonstrations: Deliver tailored demos and presentations that articulate Trustpilot’s value, flexibility, and ROI. Proof-of-Concepts: Support pilot programs to validate functionality, integration, and impact prior to contract signature. Technical Enablement: Act as a trusted advisor throughout the sales cycle — answering technical questions and resolving blockers. Cross-Functional Collaboration: Work closely with Product, Engineering, and Implementation teams to ensure solution integrity and smooth handover. Documentation & Knowledge Transfer: Maintain accurate documentation for proposed solutions and integration re

About the team The AI Deployment Engineering team is responsible for ensuring the safe and effective deployment of Generative AI applications. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of GenAI use cases for their industry and drive them to production through strong technical guidance. As an AI Deployment Engineer (ADE) in the OpenAI for Government team, you’ll help government agencies transform their organization through solutions such as automated content generation, contextual search, and novel applications that make use of our newest, most exciting models and technology. About the Role We are looking for a driven solutions leader with a product mindset to partner with our public sector customers and ensure they achieve tangible value with GenAI. You will pair with government agencies (federal, state, and local), policymakers, and other public institutions to establish a GenAI strategy and identify the highest value applications. You’ll then partner with their technical teams, subject matter experts, systems integrators, and implementation partners to move from prototype through production. You’ll take a holistic view of their needs and design an architecture using the OpenAI API and other services to maximize customer value. You will collaborate closely with Sales, Solutions Engineering, Global Affairs, Applied Research, and Product teams. This role is based in Washington, DC. We offer relocation support to new employees. In this role, you will: Deeply embed with our most sophisticated public sector customers as the technical lead, serving as their technical thought partner to ideate and build novel applications on our API and other OpenAI products. Work with senior customer stakeholders to identify the best applications of AI in their industry and to build/qualify a comprehensive backlog to support their AI roadmap. Intervene directly to accelerate customer time to value through building hands-on pr

About the Team The Payments Team is working to make AGI financially sustainable by enabling OpenAI to accept payments across our existing products (ChatGPT, ChatGPT for Teams, API) and supporting future commercial experiences. We own the user-facing payments experience, direct integrations with payment service providers, and other supporting infrastructure that powers checkout and payment flows. Payments works closely with teams across Finance, Legal, Growth, Product, external vendors and more to ensure our payments infrastructure scales with the business and supports evolving commercial goals. About the Role As a Software Engineer on the Payments Team, you will play a pivotal role in shaping the infrastructure that powers OpenAI’s financial systems. You’ll design and build core payments systems, partner with cross-functional teams to deliver scalable solutions, and ensure that our financial systems support rapid product iteration and global reach. We’re looking for people who are pragmatic, collaborative, and energized by the opportunity to build systems that are foundational to OpenAI’s long-term mission and sustainability. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Architect, implement and scale core payment infrastructure. Build robust and extensible financial primitives to enable rapid iteration and support hyper-growth. Collaborate closely with internal and external stakeholders (e.g. Finance, GTM, Product, etc) to translate business requirements into clean, scalable technical systems. Demonstrate high levels of ownership to get changes shipped in the highly-regulated domain of payments. Create a seamless user experience for checkout around the world. Improve the reliability, observability and auditability of money movement at OpenAI. You might thrive in this role if you: Have 5+ years of professional experience in software engine

About the Team Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives. About the Role We’re looking for a GPU Inference Engineer to contribute to improvements in model serving efficiency for our Robotics research. This is a high-impact role where you’ll drive initiatives to optimize inference performance and scalability. You’ll also be engaged in model design, to help assist our researchers in developing inference-friendly models. This role is critical to scaling the team’s broader goals - it will directly enable leadership to focus on higher-leverage initiatives by building a stronger technical foundation. In this role you will: Perform engineering efforts focused on improving model serving, inference performance, and system efficiency Drive optimizations from a kernel and data movement perspective to improve system throughput and reliability Partner closely with research and product teams to ensure our models perform effectively at scale Design, build, and improve critical serving infrastructure to support Robotics growth and reliability needs You might thrive in this role if you: Have deep expertise in model performance optimization, particularly at the inference layer Have a strong background in kernel-level systems, data movement, and low-level performance tuning Are excited about scaling high-performing AI systems that serve real-world, multimodal workloads Can navigate ambiguity, set technical direction, and drive complex initiatives to completion This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. About OpenAI OpenAI i

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 are seeking a Senior Solution Engineer to drive complex customer solutions and close large deals. Working directly with sales teams and channel partners, you will be the technical expert who understands customer needs, provides compelling demonstrations, and supports enterprise Proof of Concepts. This role requires someone who can bridge business and technical contexts, engaging effectively with both executives and technical teams while sharing our passion for reinventing the database space. IN THIS ROLE AT SNOWFLAKE, YOU WILL: Present Snowflake technology and vision to executives and technical contributors Work hands-on with prospects to demonstrate value throughout the sales cycle Maintain deep understanding of competitive and complementary technologies Collaborate with Product Management, Engineering, and Marketing for continuous improvement Support enterprise Proof of Concepts and design implementations Drive technical solutions for complex customer challenges WE WOULD LOVE TO HEAR FROM YOU IF YOU HAVE: 7-8 years of industry experience with 5+ years in pre-sales Outstanding presentation skills for both technical and executive audiences Broad experience with Database, Data Warehouse, and cloud technologies Hands-on expertise with SQL, SQL analytics, and Python Strong

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. Build the future of the Data Cloud. Our Solution Engineering organisation is seeking a Data Platform Architect, Postgres, who can provide hands-on expertise and support while working with technical decision makers to design and architect transactional solutions built on the Snowflake Data Cloud. This is a strategic role that works closely with cross-functional teams, including product, engineering, and the broader field organisation to ensure successful execution and customer adoption of Snowflake’s solutions. IN THIS ROLE YOU WILL GET TO: Convey the strategic advantages and technical application of Snowflake Postgres capabilities, address client inquiries, and conduct follow-up engagements to facilitate sales progression. Articulate Snowflake's Postgres functionalities and provide a comparative analysis with competitor offerings for prospective clients. Ascertain client-defined success metrics for the adoption and utilisation of Snowflake's Postgres features. Recognise, address, and reconcile discrepancies between Snowflake's methodologies and client-specific requisites concerning transactional features. Provide comprehensive resolutions to client objections and concerns. Develop and deliver bespoke demonstrations that highlight Snowflake's value proposition, tailored to a

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. As a Lead Migrations Forward Deployed Engineer (Migration FDE), you will lead scoping, architecture and direction as the FDE team embeds with customers to lead the modernization of their data and application ecosystem using the Snowflake AI Data Cloud. You will partner closely with clients to understand their business challenges to design, build, and implement cutting-edge data solutions on Snowflake. Your role is crucial in enabling customers to harness the full potential of their data, driving insights, and powering AI initiatives. You'll act as a trusted technical advisor, ensuring customers achieve significant business value and success with Snowflake. WHAT YOU WILL BE RESPONSIBLE FOR: Migration Project Execution : You will work with multiple FDE teams that each focus on a specific customer. You’ll set architecture and direction for the team as it works to design, build, and deploy robust software systems, tooling, and automation required to support customer solutions on Snowflake. Software Development: All Migration FDE members, leads and otherwise, contribute to our product. We build prototypes, contribute to feature development, fix problems that we find. Doing so helps drive impact on the roadmap and improves individual depth in the product itself. Client Collaborat

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. As a Senior Forward Deployed Engineer (FDE), you will be embedded with customers to lead the modernization of their data and application ecosystem using the Snowflake AI Data Cloud. You will especially focus on modernizing their Spark and Data Engineering focused workloads. You will partner closely with clients to understand their business challenges and design, build, and implement cutting-edge data solutions on Snowflake. Your role is crucial in enabling customers to harness the full potential of their data, driving insights, and powering AI initiatives. You'll act as a trusted technical advisor, ensuring customers achieve significant business value and success with Snowflake. WHAT YOU WILL BE RESPONSIBLE FOR: Software Development : Design, build, and deploy robust software systems, tooling, and automation required to support customer solutions on Snowflake. Create comprehensive documentation for developed solutions, technical configurations, and best practices. Data Engineering & Platform Implementation : Design and implement scalable data pipelines and modern data architectures on Snowflake. Ensure data quality, integrity, and efficient processing within the customer's modern data environment. Performance Optimization & Best Practices : Analyze and optimize data

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 hiring talented Software Engineers to join the Snowflake Database Engineering team! In this role you will work directly with our team to evolve our elastic, large scale, high-performance data processing system. We need smart engineers who can pick up and understand complex technical areas quickly – and who are enthusiastic about building new technologies! AS A SOFTWARE ENGINEER AT SNOWFLAKE, YOU WILL: Design, develop, and support a petabyte-scale cloud database that is highly parallel and fault-tolerant. Build high-quality and highly reliable software to meet the needs of some of the largest companies on the planet. Analyze and understand performance and scalability bottlenecks in the system and solve them. Pinpoint problems, instrument relevant components as needed, and ultimately implement solutions. Design and implement novel query optimization or distributed data processing algorithms which allow Snowflake to provide industry leading data warehousing capabilities. Design and implement the new service architecture required to enable the Snowflake Data Cloud Develop tools for improving our customers' insights into their workloads. OUR IDEAL SOFTWARE ENGINEER WILL HAVE: 2+ years industry experience working on commercial or open-source software. Fluency in Java or C++

About us Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. Role Overview We are seeking a Database STL (Individual Contributor) with deep expertise in MySQL and strong working knowledge of MongoDB, PostgreSQL, and Cassandra. This role combines hands-on database administration and optimization with strategic ownership of database reliability, automation, and cloud adoption. The candidate will lead by example—driving technical excellence, influencing best practices, and partnering cross-functionally with DevOps, SRE, and product engineering teams to deliver highly available, secure, and scalable database platforms. Key Responsibilities 1. End-to-End Ownership of MySQL databases in production & staging—availability, performance, and reliability. 2. Architect, manage, and support MongoDB, PostgreSQL, and Cassandra clusters for scale and resilience. 3. Define and enforce backup, recovery, HA, and DR strategies across all critical database platforms. 4. Drive database performance engineering—tuning queries, optimizing schemas, indexing, and partitioning for high-volume workloads. 5. Own replication, clustering, and failover architectures ensuring business continuity. 6. Champion automation & AI-driven operations—design self-healing scripts, predictive scaling, and proactive monitoring solutions. Collaborate with Cloud/DevOps teams on AWS database services (RDS, Aurora, DynamoDB, EC2, S3) to optimize cost, security, and performance. 7. Establish monitoring dashboards & alerting mechanisms for slow queries, replication lag, deadlocks, and capacity planning. Ensure compliance & security standards—encryption, auditing, and regulatory requirements. 8. Lea

Position: Engineering Manager - Database Job Location: Noida Role Overview We are seeking a Database Engineering Manager (Individual Contributor) with deep expertise in MySQL and strong working knowledge of MongoDB, PostgreSQL, and Cassandra. This role combines hands-on database administration and optimization with strategic ownership of database reliability, automation, and cloud adoption. The candidate will lead by example—driving technical excellence, influencing best practices, and partnering cross-functionally with DevOps, SRE, and product engineering teams to deliver highly available, secure, and scalable database platforms. Key Responsibilities 1. End-to-End Ownership of MySQL databases in production & staging—availability, performance, and reliability. 2. Architect, manage, and support MongoDB, PostgreSQL, and Cassandra clusters for scale and resilience. 3. Define and enforce backup, recovery, HA, and DR strategies across all critical database platforms. 4. Drive database performance engineering—tuning queries, optimizing schemas, indexing, and partitioning for high-volume workloads. 5. Own replication, clustering, and failover architectures ensuring business continuity. 6. Champion automation & AI-driven operations—design self-healing scripts, predictive scaling, and proactive monitoring solutions. Collaborate with Cloud/DevOps teams on AWS database services (RDS, Aurora, DynamoDB, EC2, S3) to optimize cost, security, and performance. 7. Establish monitoring dashboards & alerting mechanisms for slow queries, replication lag, deadlocks, and capacity planning. Ensure compliance & security standards—encryption, auditing, and regulatory requirements. 8. Lead incident management & on-call rotations, ensuring rapid response and minimal MTTR. 9. Act as a strategic technical partner, contributing to database roadmaps, automation strategy, and adoption of AI-driven DBA practices. Required Skills & Experience 1. 6–10 years of p

Overview The Associate Director of Service Engineering leads the reliability, availability, and operational excellence of Natera’s lab-facing platforms. This role ensures that clinical systems, laboratory equipment workflows, and data pipelines operate with high reliability, scalability, and compliance in a regulated healthcare environment. You will lead a team responsible for production stability, incident response, and service health, partnering closely with Production Engineering, Lab Operations, Bioinformatics, Infrastructure, Facilities, and Compliance to support mission-critical genetic testing and diagnostics. Key Responsibilities Leadership & Team Development Lead, mentor, and scale a team of Service Engineers / SREs supporting clinical production systems Establish clear expectations around ownership, on-call readiness, and operational excellence Drive hiring, onboarding, performance management, and career growth Foster a blameless, learning-oriented culture focused on patient impact and reliability Service Reliability & Production Operations Own reliability and availability for production services supporting laboratory operations, reporting, and customer delivery Define and manage SLAs, SLOs, and operational KPIs aligned with clinical and business priorities Lead major incident response, ensuring rapid triage, clear communication, and thorough post-incident reviews Oversee on-call rotations, escalation paths, and operational playbooks Ensure operational readiness and go-live support for new assays, pipelines, and platform capabilities Technical Strategy & Execution Partner with Engineering and Development teams to design resilient, fault-tolerant systems Drive best practices for monitoring, alerting, logging, and observability across lab and cloud platforms Reduce operational toil through automation, tooling, and process improvements Advocate for reliability, performance, and scalability requirements early in t

Position Overview As a Solutions Engineer at Diligent, you will partner closely with Sales to help organizations understand how our platform can transform the way they identify and mitigate risk, perform audits, strengthen controls, and operationalize broader GRC programs. You’ll independently lead the SE workstream on small to mid-sized opportunities, while partnering with more senior Solutions Engineers on complex, multi-pillar deals, acting as a trusted partner to customer stakeholders and helping translate Risk & Audit and broader GRC challenges into clear, compelling solutions that drive business value. If you enjoy combining domain expertise, storytelling, solution design, and customer interaction and are looking to build your career in a commercial, customer-facing environment, this is a strong next step. Key Responsibilities Customer & Commercial Partnership Partner with Sales to lead the full pre-sales lifecycle for small to mid-sized opportunities, helping customers understand how Diligent solves real-world risk, audit, and control management challenges. Deliver independent, well-prepared, tailored software demonstrations that clearly articulate business value, while seeking coaching and feedback from senior team members for continuous improvement. Engage confidently with stakeholders across Internal Audit, Risk, Compliance, IT, Controls, and Governance teams, owning day-to-day customer conversations and escalating to senior SEs for high-risk or complex topics as needed. Translate customer pain points into clear solution narratives, including outcomes and success criteria, to support deal progression and closure. Own the technical win for small to mid-sized opportunities, and contribute to the technical strategy on larger, multi-stakeholder deals in partnership with senior SEs. Solution Design & Thought Leadership Design and present solu

Position Overview As a Solutions Engineer at Diligent, you will partner closely with Sales to help organizations understand how our platform can transform the way they identify and mitigate risk, perform audits, strengthen controls, and operationalize broader GRC programs. You’ll independently lead the SE workstream on small to mid-sized opportunities, while partnering with more senior Solutions Engineers on complex, multi-pillar deals, acting as a trusted partner to customer stakeholders and helping translate Risk & Audit and broader GRC challenges into clear, compelling solutions that drive business value. If you enjoy combining domain expertise, storytelling, solution design, and customer interaction and are looking to build your career in a commercial, customer-facing environment, this is a strong next step. Key Responsibilities Customer & Commercial Partnership Partner with Sales to lead the full pre-sales lifecycle for small to mid-sized opportunities, helping customers understand how Diligent solves real-world risk, audit, and control management challenges. Deliver independent, well-prepared, tailored software demonstrations that clearly articulate business value, while seeking coaching and feedback from senior team members for continuous improvement. Engage confidently with stakeholders across Internal Audit, Risk, Compliance, IT, Controls, and Governance teams, owning day-to-day customer conversations and escalating to senior SEs for high-risk or complex topics as needed. Translate customer pain points into clear solution narratives, including outcomes and success criteria, to support deal progression and closure. Own the technical win for small to mid-sized opportunities, and contribute to the technical strategy on larger, multi-stakeholder deals in partnership with senior SEs. Solution Design & Thought Leadership Design and present solu