Engineer Senior Jobs

Staff Engineer, Water, Global Facilities — Hiroshima - Fab 15, Japan. Apply via Workday.

Join the MongoDB Server Query team, and help us build a world-class distributed open source query engine. Our team plays a crucial role in the experience and performance of data processing. We are responsible for the MongoDB Query Language and the lifecycle of each query, from parsing to optimization to plan selection and finally execution. This also includes our geospatial search and update subsystems. Our global team is growing fast. In North America, we have a presence across the US and Canada including New York, West Coast, Toronto. In Europe, we have a presence in Dublin, Germany, France, Netherlands, UK, Bulgaria, Spain and Italy currently. We support office-based and remote work and align projects with convenient work hours for each time-zone. We have tons of interesting problems to solve with direct impact on users for transactional, time-series and analytical workloads. We need your help to design and build the heart of a distributed, flexible schema, document database. We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model. Candidate Profile 3+ years of experience in data intensive environments Hands-on experience building industrial-strength software Solid computer science fundamentals, with strong competencies in data structures, algorithms, and software design/architecture Experience with large code bases B.Sc in Computer Science or similar field, or equivalent practical experience Experience in C++ and in developing database systems is a plus Interest in the theory and practice of database query engines. Hands-on experience or M.Sc./Ph.D in the domain is a plus Position Expectations Understand and improve current functionality of the MongoDB query engine Identify, design, implement, test, and support new features related to query performance and robustness, query language enhancements, diagnostics for query performance problems, and integration with other products and tools Work with other engineers to

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as our next Software Engineer About the job: This position is needed to build and maintain reliable applications for Twilio’s supply insights and trust. The work involves developing back-end applications and front-end for internal tools. As a Software Engineer in the team, you will be partnering with product managers, architects, engineering managers and other engineers to develop features for Messaging Supply products. You will be developing our messaging supply platform with emphasis on interfaces for Twilio’s suppliers to interact with Twilio, automation of manual tasks, and working on new features that support both internal and customer-facing applications. Responsibilities: In this role, you’ll: Design, develop, test and deploy features alongside a small, distributed collaborative team to build highly scalable and available services Collaborate other cross-functional teams, product managers, designers, and engineers to build compell

Sr Engineer - DEMQRA WLR — Hyderabad - Phoenix Aquila, India. Apply via Workday.

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. About the role We're hiring an Enterprise Platform Engineer to build the foundational systems that make Cursor ready for the world's largest engineering organizations. Today we have basic organizations, simple IAM primitives, early audit logs, analytics APIs, and admin APIs — but enterprise customers need much more. You will design and build the platform layer that powers organization management, access control, compliance, and administrative tooling across Cursor's product surface. This is a deeply technical IC role focused on building correct, secure, and scalable enterprise infrastructure — not gluing together vendor SDKs. What you’ll do Build and evolve our organization management system — multi-level org structures, groups, roles, lifecycle, and provisioning via SCIM, so admins can manage thousands of seats without friction. Design and implement RBAC with fine-grained roles, permissions, and resource scopes that cover organizations, teams, agents, and other resources — balancing security with developer ergonomics. Extend enterprise settings and policies — org-wide defaults, security policies (allowed models, MCPs, Tools, network restrictions), and configuration inheritance

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. About the role We're hiring a Software Engineer to work on Bugbot . Bugbot reviews pull requests, catches bugs, suggests improvements, and is becoming a critical part of how engineering teams ship software. As LLMs rapidly mature, the surface area of what Bugbot can do is expanding just as fast. From the model integration and agent harness improvement to the product UI, integrations, and onboarding experience, you’ll maintain Bugbot being the industry's best AI code reviewer. This is a full-stack IC role where you'll ship features end-to-end and directly shape how millions of engineers interact with AI during code review. What you’ll do Launch new Bugbot features end-to-end from defining the feature and building the UI to wiring up the backend and iterating on model behavior so that each release meaningfully improves code review quality. You can check out Bugbot blog post for some examples of how Bugbot was improved in the past: https://cursor.com/blog/building-bugbot . Evolve the review pipeline adapting prompting strategies, model routing, context selection, and agent orchestration to take advantage of new capabilities while managing cost and latency. Build integrations that e

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. About the role We're hiring a Software Engineer, Billing to evolve the systems that power how Cursor charges and reconciles revenue across millions of developers and enterprise teams. You will work across the billing stack — usage metering pipelines, subscription and entitlement systems, payment integrations, and the ledger layer — to make billing accurate, scalable, and transparent. This is a deeply technical IC role. It is not a finance ops role, and it is not a backend generalist role wearing a billing hat. What you’ll do Implement usage and billing systems changes end-to-end , from updates in the UI and raw usage events at the edge to invoiced amounts in Stripe, including the metering pipeline, aggregation logic, entitlement enforcement, and ledger. Evolve our ledger system that serves as the source of truth for customer balances, credits, overages, and adjustments — with the correctness guarantees that financial systems require. Integrate deeply with Stripe including subscriptions, usage records, invoices, webhooks, and edge cases like mid-cycle plan changes, prorations, and failed payment recovery. Build billing APIs and internal tooling that product, finance, and customer

SR ENGINEER, Design Verification — Hyderabad - Phoenix Aquila, India. Apply via Workday.

Role Purpose At Jumio, we’re building trusted identity solutions powered by machine learning and biometrics. As a Data Engineer II , you will take ownership of designing, building, and scaling data pipelines that power our ML systems. You’ll work closely with ML engineers, platform teams, and product stakeholders to enable robust dataset creation, benchmarking, and production-grade data workflows on AWS. What You’ll Do Design, build, and maintain scalable and reliable data pipelines for dataset creation, transformation, and benchmarking Own and optimize Airflow pipelines on AWS for data processing, orchestration, and evaluation workflows Write efficient, production-grade SQL and Python code for large-scale data processing and analysis Partner closely with ML engineers to enable model training, evaluation, and benchmarking pipelines Improve pipeline performance, reliability, and observability, ensuring high data quality in production Build and maintain systems to support model performance tracking and data drift monitoring Troubleshoot and resolve data issues across pipelines, ensuring minimal impact on ML workflows Contribute to data architecture decisions and best practices across the platform Collaborate cross-functionally with ML, platform, and data teams to support scalable ML infrastructure What We’re Looking For 3–5 years of experience in Data Engineering, Data Platforms, or related roles Strong proficiency in Python and SQL with experience in production systems Hands-on experience with AWS services (S3, EC2, SageMaker or similar) Solid experience building and managing Airflow (or similar orchestration tools) Strong understanding of data engineering fundamentals (ETL/ELT, data modeling, pipeline design) Experience working with large-scale datasets and distributed data systems Experience supporting ML workflows, datasets, or evaluation pipelines Strong problem-solving skills and ability to work independently in a fast-paced environment Nice to Have Experience w

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is investing $50 billion in American computing infrastructure, including datacenters custom-built for our workloads, and this role sits at the heart of that effort. As a Staff Engineer on the Datacenter Server Lifecycle team, you will own the end-to-end operational journey of every machine in our datacenters – from initial provisioning and deployment, steady-state operation, maintenance, and repair. This is greenfield work: you will help define the services, tooling, standards and processes that govern how we operate critical hardware at scale, powering frontier model development and serving. You will have the opportunity to define AI-native workflows for datacenter operations and to help drive innovations on efficiency, performance, and reliability. A distinguishing aspect of this role is its deep intersection with security. The machines in our datacenter handle some of the most sensitive workloads in AI – training frontier models and serving millions of users interacting with Claude. Ensuring that every machine in the fleet is trusted, attested, and operating with a verified chain of integrity from the hardware up is a core part of the job, not an afterthought. You will partner closely with our Infrastructure Security team to define and enforce trusted compute standards across the lifecycle, from secure provisioning through end-of-life handling. Key responsibilities Build automation to support datacenter fleets at scale. Define and own the end-to-end system lifecycle strategy – from provisioning and deployment through operation, maintenance, refresh, and decommissioning – and maintain automation

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role The Data Platform builds infrastructure and tools that enable Ramp to realize business value from data. We partner closely with stakeholder teams to build this infrastructure and the applications on top of it. This role is particularly focused on building platforms that support the data science development lifecycle. You’ll partner with applied scientists, AI engineers, Risk engineers, and other ML developers on building infrastructure and tools that enable and accelerate the development of machine learning models. What You’ll Do Build and integrate the components of Ramp's Analytics Platform and Machine Learning Platform. Build tools that improve the agility and data experience of Ramp's Applied Scientists, AI Engineers, and Risk Engineers. Collaborate with stakeholder teams on building and productionizing machine learning applications. Build reliable, scalable, maintainable, and cost-efficient systems across the stack. What You Need Experience with workflow orchestrators like Airflow, Dagster, or Prefect. Experience building infrast

Job Summary This is a hands-on, activity-driven role ideal for someone who is eager to learn, contribute, and grow within a dynamic team responsible for driving sales of all Phoenix Contact products by combining engineering knowledge with strong interpersonal and business skills. The Sales Engineer (OEM) plays a key role in identifying growth opportunities, building relationships with potential and existing developing customers, and supporting the sales pipeline through consistent outreach and follow-up. This role involves identifying customer needs, recommending suitable products or solutions, and providing technical support throughout the sales process. The Sales Engineer (OEM) works closely with our Channel and Field Application Engineering teams to ensure customer satisfaction and achieve sales targets. This role focuses on deepening relationships within assigned accounts, driving growth opportunities, and expanding business engagement to maximize long-term value. Responsibilities Meet or exceed territory sales quotas as established by the RSM and/or Vice President—Field Sales. Be proficient in BASE selling skills and implement to build strong customer relationships. Generate new opportunities within assigned accounts through ongoing communication, relationship development, and collaboration with key stakeholders. Support the preparation of proposals, presentations, and sales materials. Maintain and update CRM systems with accurate client information. Fully utilize the CRM as a communication, reporting, measurement, and tracking tool to enhance productivity. Collaborate with the entire Phoenix Contact team to align efforts, effectively communicate both verbally and written. Track and report on business development activities and performance metrics. Differentiate Phoenix Contact from other component vendors by building “partner” relationships with customers. Focus on the customer by averaging a minimum of 16 to 20 sales calls per week. Be proficient in and drive

Thermal Works LLC has an exciting opportunity for a Product Engineer to join our team, working directly with the Engineering Department and focusing on 3D assembly modeling of refrigerant and cooled water piping systems within machines with the use of Solidworks. We are looking for someone who can create 3D models from a mechanical system schematic, add and track the properties of the assembly components through the lifecycle of the product, and create assembly, part, and installation documents. The candidate must be familiar with refrigerant and cooled water distribution systems and their respective components as it relates conveying fluid through equipment and ultimately through a data center. Experience with HVAC systems and sheet metal is a plus. The candidate must be well versed in Solidworks as it relates to creating piping assemblies and documents to fabricate these assemblies. Thermal Works values efficiency and strives to maintain smooth operations. Our primary focus is on providing an integrated cooling system for data centers and commercial buildings that dramatically reduces the energy demand, water consumption and cost of cooling. It transforms the economics and eco-metrics of commercial cooling with zero water solutions that outperform air- and water-cooled systems in any climate. Thermal Works solutions are sustainable and cutting-edge. For that reason, we are highly selective about the people we bring on board because our work depends on it. Change and progress happen quickly, and we must be able to trust one another to be honest, communicative, reliable, and self-motivated. We seek ultra-creatives and superstar performers with a sense of humility and a hunger to make a positive impact in the world. We offer flexibility and endless growth opportunities to those who can harness their skills and talents and identify how and where to use them to add value. Thermal Works is one of several “inspired infrastructure” companies that work collaborativel

Software Engineering job in Bangalore location

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. Observe by Snowflake is an AI-powered observability platform built on the Snowflake Data Cloud and engineered for scale. We ingest and store logs, metrics, traces, and events on an open, scalable data lake using open formats like Apache Iceberg, delivering deep correlation and long-term analytics at dramatically lower cost. A dynamic Knowledge Graph and chat-based AI SRE provide rich context and guided workflows so teams can move from detection to root cause and resolution significantly faster. The Infrastructure team at Observe by Snowflake is responsible for building, scaling, and operating the development and production environments that power our observability platform. We are a small, highly collaborative team with a broad scope, focused on delivering reliable infrastructure while continuously improving the systems that support our engineers and customers. What You’ll Do Design, build, and operate scalable cloud infrastructure in AWS supporting a high-scale observability platform. Improve system reliability, performance, and operational visibility across development and production environments. Develop and maintain CI/CD pipelines and internal tooling to improve developer productivity and deployment safety. Identify and mitigate security risks, and help maintain intern