Systems And Solutions Engineer Jobs

About the role As a Forward Deployed Engineer (FDE) focused on Inference & Post-Training, you will be a hands-on technical partner to our most strategic customers — production AI teams looking to leverage high quality models and do inference at scale. For us, FDE is not a replacement for a Solutions Architect; you will partner with our SAs as a deep-domain specialist in inference optimization, fine-tuning pipelines, and production deployment. As key contributors to both the CX, Engineering, and Sales organizations, FDEs add tremendous value by ensuring we can meet the requirements of our most complex POCs, facilitate successful platform adoption, and guide tailored optimization efforts — directly impacting customer success, company growth, and the hardening of our core platform. Must be a permanent resident or citizen of Singapore. Responsibilities Inference Engine Optimization: Select, configure, and optimize inference engine based on hardware, model architecture, and workload profile Configuration & Performance Tuning: Develop configuration updates to win critical POCs, benchmarks, and optimize customer deployments; tune KV cache, apply speculative decoding, determine optimal tensor parallelism, and determine quantization strategy to hit throughput and latency targets. Post-Training & Fine-Tuning: Drive hands-on RL training runs and optimize system design; guide customers through LoRA, SFT, DPO, RLHF, and GRPO pipelines from experimentation through production. Strategic Customer Alignment: Act as the primary technical point of contact for aligned strategic accounts — monitoring and optimizing endpoint configurations, helping customers get the most out of the platform, and collaborating to ensure we hit critical milestones. Opinionated Onboarding: Establish direct alignment with strategic customers at onboarding; ensure the right inference and post-training configurations are in place from day one to improve time-to-value. Product Feedback Loop: D

About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. Start in minutes with a fully managed, scalable Postgres database and a suite of tools that eliminate the complexity of backend development. Use one or use all—Supabase gives teams the flexibility of open source with the speed and simplicity of a modern platform, so they can move fast without sacrificing control. What Are We Looking For We’re looking for a Platform Security Engineer to join our team and help strengthen the security of Supabase’s infrastructure, cloud platform, Kubernetes environments, and containerized workloads as we continue to scale. You’ll work closely with infrastructure, platform, SRE, product engineering, and technical leadership , helping us proactively reduce risk across the systems that run Supabase. This role is ideal for someone who has deep hands-on experience with AWS, Kubernetes, containers, Linux, and large cloud environments and is excited about securing developer infrastructure without slowing teams down. Success in this role means improving the security posture of the platform through pragmatic engineering, clear technical judgment, and scalable guardrails. What You’ll Be Responsible for In this role, you’ll: Identify and reduce security risk across AWS, Kubernetes, containerized workloads, and platform infrastructure. Conduct threat modeling, architecture reviews, and technical risk assessments for platform and infrastructure systems. Partner closely with infrastructure, platform, and SRE teams to design practical controls and secure-by-default patterns. Improve Kubernetes and container security across areas like workload isolation, RBAC, admission control, secrets, network policy, and runtime hardening. Assess container runtime and Linux isolation risks, in

About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the Role We are seeking a platform engineer to join our Compute Capacity team. This team owns the capacity plan that keeps compute supply ahead of demand across every region we operate in — the forecasting, buffer policy, and provisioning systems that make sure a project never runs into a wall it didn't know was there. You'll work on the systems that turn a capacity plan into provisioned reality: reservation acquisition, fleet reconciliation, and the automation that keeps what we've committed to in sync with what we're actually running. You'll help build the metrics and alerting that let capacity problems surface months out, on vendor lead time, rather than at the moment someone needs the room. You'll design, build, and operate systems that are both robust and highly automated — helping us hold the right buffer at the right cost, catch drift before it becomes a shortage, and give every team a single, trustworthy view of how much room we have across the millions of databases we manage. What You'll Be Responsible For Help build and maintain the capacity plan that keeps Supabase's compute supply ahead of demand across regions and instance families Support buffer policy by modeling headroom targets and their cost tradeoffs for review and sign-off Build and maintain automation that turns the capacity plan into provisioned reality — reservation acquisition and top-up, fleet reconciliation, drift detection between committed and running capacity Extend our infrastructure as code for capacity-relevant provisioning Instrument capacity: build and maintain metrics for saturation, reservation coverage, idle buffer, forecast error, and provisioning latency Build and tune capacity alerting so headroom,

About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the Role We're looking for a Release Engineer (SRE) to join our Release Engineering team (part of EngOps) — a production-operations expert who brings an SRE mindset to how Supabase ships and runs, making deploys safe, observable, and recoverable at scale. Release Engineering's scope has grown well beyond build-and-ship: we increasingly own the operational reliability of the systems that deploy and run Supabase. In this role you'll treat our deployment pipelines, pre-production signal, and the control plane itself as production systems — with SLOs, error budgets, and on-call ownership — and you'll be the person teams lean on when reliability is on the line. This is not a "gatekeeper" role. You'll make the reliable path the easy path: standardising how we deploy, instrumenting what we ship, and ensuring that when something breaks, we detect it quickly and recover quickly. What You'll Be Responsible For In this role, you'll: Own the reliability of Supabase's deployment and release systems, and the control plane they run on, against clear SLOs and error budgets Turn pre-production into a trustworthy signal — standardizing and instrumenting today's fragmented, ad-hoc deployment workflows Drive disaster-recovery readiness, including making environments reproducibly deployable from scratch (untangling undocumented secrets, unclear configuration ownership, and circular service dependencies) Build and operate health and SLO monitoring for critical user flows, using synthetic testing to catch regressions before customers do Reduce mean-time-to-detect and mean-time-to-recover for deploy-related incidents — which account for a large share of our incident load Participate in on-call, lead blameless po

About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About this role We’re hiring experienced performance engineers to make performance measurement at Supabase rigorous, repeatable, and actionable by product teams. This role owns the benchmarking and profiling systems we use to detect regressions, explain performance changes, and publish credible numbers for customers and the market. You’ll build the tooling and the methodology and make it easy for product teams to use it correctly. You’d join a new performance team as one of its first members, working alongside a deeply seasoned performance engineer, with the team growing to roughly six this year. There’s no legacy process to inherit — you’ll help define how we measure and communicate performance metrics at Supabase. What you’ll do Build and evolve benchmarking, profiling, and load-testing tooling (cloud, database, and end-to-end). Define benchmark suites and reference workloads that reflect real customer behavior (and evolve them as the products change). Establish performance baselines and regression gates across products (variance tracking, environment control, and detection of changes). Build mechanisms that turn benchmark results into action: triage workflows, owner routing, and clear, reproducible reports. Partner closely with database teams (e.g. Multigres, OrioleDB) to identify bottlenecks and land concrete performance improvements. Enable the company to publish credible, repeatable performance numbers for customers and the market. Help teams self-serve performance testing and make performance a first-class engineering concern. Problems you might work on Build our continuous benchmarking infrastructure so product teams can spot performance regressions early. Ideally, teams can run benchma

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Our mission depends on having a digital representation of the physical world - a map with all routing related (real-time) information. This is what makes Lyft different from many products: our products don’t just facilitate online interactions, they facilitate dynamic, real-world ones. Without mapping services, none of these real world interactions between people and transport can happen. The Mapping organization at Lyft has spent the last few years building up Lyft’s mapping assets and capabilities by combining many internal and external data sources and services into an increasingly powerful and mission-critical technology stack. In doing so, we’ve also enabled new user experiences and features across all of Lyft’s products, including rideshare industry leading firsts like CarPlay, Android Auto, and real-time driver feedback! We are hiring a Software Engineer to join our Mapping experiences team that builds end user features to enhance drivers and riders experience on Lyft’s platform by using our in house navigation system. We are looking for an engineer with expertise in system architecture, cross team collaboration, and experience in building scalable solutions in the cloud environments. In this role, you'll collaborate with engineering, product, data science, analytics, operations, and AI/ML teams on programs that empower us to iterate quickly, delighting our passengers and drivers with rideshare focused mapping experiences. Responsibilities: Drive high-impact projects and innovate new solutions to provide the best user experience Lead large features from idea to positive execution and launch Write well-crafted, well-tested, readable, maintainable code Participate in code reviews to ensure code quality and distribute knowledge, as well as on call rotations Share your knowledge by giving brown ba

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. About the Role Okta is the identity standard. The Okta Identity Cloud is an independent and neutral platform that securely connects the right people to the right technologies at the right time. We help organizations secure and manage their extended enterprise while transforming their customers’ experiences. With thousands of global customers, 7,000+ app integrations, and over 200 million registered users, we are only getting started. As a member of the Developer Productivity Engineering team, you will tackle high-impact challenges across development environments, AI enablement for engineering, scalability, and stability. Grounded in Okta’s core value— Always Secure. Always On. —your work directly powers developer velocity, system reliability, and software quality at scale. You will act as a force multiplier for our engineering teams by identifying workflow bottlenecks, pioneering AI integrations, establishing best practices for code organization, and maintaining performant development environments. What You’ll Do Design & Automation: Build and ship automated solutions that allow developers to deliver features rapidly without compromising quality, stability, or security standards. Environment Performance & Tuning: Analyze local development workflows, build tools to track operational metrics, and profile/tune development environments (including codebase modifications). AI & Tooling Enablement: Leverage AI technologies across the development stack

This is where your work makes a difference. At Baxter, we believe every person—regardless of who they are or where they are from—deserves a chance to live a healthy life. It was our founding belief in 1931 and continues to be our guiding principle. We are redefining healthcare delivery to make a greater impact today, tomorrow, and beyond. Our Baxter colleagues are united by our Mission to Save and Sustain Lives. Together, our community is driven by a culture of courage, trust, and collaboration. Every individual is empowered to take ownership and make a meaningful impact. We strive for efficient and effective operations, and we hold each other accountable for delivering exceptional results. Here, you will find more than just a job—you will find purpose and pride. Your role at Baxter As an Operational Excellence Engineer, you will support improvement projects across Baxter's Deerfield site by leading cross-functional teams, managing project timelines, and helping solve operational challenges. You will work with team members across the business to identify improvement opportunities, facilitate problem-solving activities, and ensure projects stay on track and deliver results. Success in this role will come from your ability to coordinate teams, drive project completion, improve processes, and implement practical solutions that enhance site performance. What you'll be doing Lead and coordinate cross-functional teams to achieve operational excellence and project objectives. Develop project plans, establish timelines, and monitor progress to ensure successful execution. Facilitate continuous improvement initiatives using Lean, Kaizen, Baxter Operating System (BOS), and structured problem-solving methodologies. Drive accountability by ensuring teams complete improve

Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the Role We’re looking for a Senior Postgres Engineer to join our Postgres Team and help maintain and expand the stability and functionality of our hosted Postgres offering . You’ll work closely with customers, partners, product, engineering, support and success, helping us maintain a secure, stable, performant, and functional Postgres foundation. This role is ideal for someone who thrives in async, fast-paced environments and is excited about building developer tools that scale to millions. What you'll own: Build and maintain PostgreSQL extensions in C and Rust, with a deep understanding of internals — parser, planner, WAL mechanics, and MVCC Diagnose and resolve issues in managed PostgreSQL deployments, including custom extension failures, core dump analysis, and performance bottlenecks Own idempotent deployment pipelines across thousands of running PostgreSQL instances, including testing and rollout strategies Manage complex extension ecosystems — compatibility, upgrade paths, and conflict resolution Work with PostgreSQL's background worker framework, shared memory management, and hook system to build reliable, scalable functionality Collaborate closely with customers, partners, product, engineering, support, and success teams to maintain a secure, stable, and performant Postgres foundation What you bring: Deep expertise in PostgreSQL internals - query planner, executor, and storage engine mechanics Proven experience building PostgreSQL extensions in both C and Rust Strong knowledge of PostgreSQL's permission model : RLS, roles, and grant systems Experience troubleshooting production issues in managed PostgreSQL environments, including custom extension issues, performance bottlenecks, and resource co

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 We are looking for a Staff Engineer to join our Observability team. This role is ideal for a highly technical engineer who thrives on uncovering the truth behind complex system behaviors, diagnosing difficult production challenges, and driving platform-wide improvements. As a Staff Engineer, you will operate as a force multiplier across engineering teams, helping Postman build world-class observability capabilities while improving reliability, performance, and developer productivity. You will partner closely with Infrastructure, Platform, Product, Security, and Data teams to identify systemic issues, establish operational excellence, and ensure engineering teams have the visibility they need to operate at scale. What You'll Do Drive the technical vision and architecture for Postman's observability platform. Design and build scalable solutions for metrics, logging, tracing, alerting, and operational analytics. Investigate complex production issues, identify root causes, and drive long-term corrective actions. Partner with engineering teams to improve service reliability, availability, performance, and operational mat

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. The Role You'll be an engineer who builds AI agents in production, sitting close to the customers who depend on them. This is a full-stack engineering job with an unusually short distance between your code and someone's actual workday. You'll write Go and Python, design schemas, build evals, and present your solution to a senior executive at an enterprise - often in the same week. What You'll Do Design and ship production agents. You'll build agents that are mission-critical from day one: embedded in Teams, Slack, intranets, voice lines, and email, taking real actions against SAP, ServiceNow, Workday, and a long tail of systems nobody has heard of. These run at enterprise volume under enterprise scrutiny. Own the full lifecycle. Discovery, build, eval, launch, and the unglamorous months afterward where an agent goes from good to genuinely reliable. Work directly with the people whose problem it is. You'll sit with leaders at global enterprises, extract the process from their heads, and decide what should be an agent, what should be a workflow, and what should stay human. Push your work back into the platform. The best patterns you find in the field become part of Ema's core product

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . About tvScientific tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business. As a Sr. Machine Learning Engineer at tvScientific, you'll build the ML and AI systems behind our Connected TV ad-buying platform: real-time bidding, campaign optimization, and incrementality measurement at scale. We're an adtech company solving a hard problem: making CTV advert

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 160+ public exchanges globally and thousands of private exchanges 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 Sr. Staff Software Development Engineer-AI Security to join our team. This is a Hybrid (based in San Jose, CA or Bellevue, WA with a 3 days in office requirement) role, reporting to the Director of Software Engineering in the Emerging Tech department. You will be responsible for designing and implementing core infrastructure components and distributed systems, serving as a foundational architect for our AI security solution. This high-impact role focuses on scaling security infrastructure to support hundreds of millions of users, collaborating with stakeholders across the development lifecycle to drive innovation and technical excellence. What you’ll do (Role Expectations) Architect, develop, and optimize a low-latency, high-throughput AI Security plane utilizing Rust, specifically leveraging its async/await model for highly efficient I/O and service-oriented architecture Build resi

A well-curated online and/or print portfolio/case study demonstrating UX/UI design skills, curiosity, positive attitude and strong drive to learn from a fast paced environment. Proven UX/UI design experience for multiple platforms including desktop, mobile, tablet. Excellent visual design skills with sensitivity to user-system interaction. Additionally experience in data informed and customer centric approach to design is key. Solid experience in creating wireframes, prototype, storyboards, user flows, and process flows. Experience in simplifying complex information through end-to-end experiences designs while co-creating with all the senior designers for smooth implementation. Up-to-date with the latest UI trends, rools, and technologies and their role in a commercial environment. 1-2 years of relevant experience with a B. DeS/M. DeS in Visual Design, Human-Computer Interaction, Interaction Design, or related is an advantage. General understanding of the front-end development process, including HTML and CSS. Ability to speak fluent English is a must. Demonstrable proficiency in presenting your designs and selling your solutions to various stakeholders through clear communication is key.

A well-curated online and/or print portfolio/case study demonstrating UX/UI design skills, curiosity, positive attitude and strong drive to learn from a fast paced environment. Proven UX/UI design experience for multiple platforms including desktop, mobile, tablet. Excellent visual design skills with sensitivity to user-system interaction. Additionally experience in data informed and customer centric approach to design is key. Solid experience in creating wireframes, prototype, storyboards, user flows, and process flows. Experience in simplifying complex information through end-to-end experiences designs while co-creating with all the senior designers for smooth implementation. Up-to-date with the latest UI trends, rools, and technologies and their role in a commercial environment. 1-2 years of relevant experience with a B. DeS/M. DeS in Visual Design, Human-Computer Interaction, Interaction Design, or related is an advantage. General understanding of the front-end development process, including HTML and CSS. Ability to speak fluent English is a must. Demonstrable proficiency in presenting your designs and selling your solutions to various stakeholders through clear communication is key.