Engineer 4 Jobs

P-1588 At Databricks, we are passionate about helping data teams solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. As a Software Engineering Intern, you will join a team of engineers to build features that contribute directly to the Databricks platform. We're hiring across all of our teams, including full stack, backend, infrastructure, systems, tools, cloud, databases, and customer-facing products. You will have a dedicated mentor and will join our 2027 intern cohort where you'll connect with engineers, other interns, and leaders from across the company. We are hiring Software Engineering Interns across multiple offices. Please apply for the single location that you're the most interested in, and we will discuss more with you as you move through the process. We can only consider one application in 30 days. The impact you will have: Work with a team to build features for the Databricks platform Manage your project end-to-end, including design, code, and feedback Learn about building a platform that scales quickly while maintaining quality and security What we look for: You will graduate in fall 2027 or spring 2028 with a degree in Computer Science, Engineering, or related subject You have implementation skills with a general purpose program language, such as Python, Java, or C++ You have good knowledge of algorithms, data structures, and OOP principles You are excited to solve ambiguous problems with a collaborative team This application is ONLY for Winter 2027 (January-April). Please do not apply if you are looking for Summer or Fall. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As an Intermediate Software Engineer on GitLab’s Vulnerability Management team, you’ll help build the core security workflows that GitLab Ultimate customers use to triage, prioritize, and act on vulnerabilities. You’ll work primarily in Ruby on Rails on backend systems, including security dashboards, vulnerability reports, and ingestion pipelines. You’ll take ownership of well-defined projects, solve technical problems with support from experienced team members, and collaborate with other engineers. You’ll also have opportunities to contribute beyond the backend when the work requires it. You will join a

About the team The Monetization Data Platform team builds the trusted data and platform foundations that power how the company develops, measures, and improves monetization products. We bring together product usage, pricing, billing, ads, payments, and financial data to help Product, Engineering, Finance, and GTM teams make better decisions and deliver reliable customer experiences. We work at the intersection of data engineering, product engineering, platform engineering, Finance, and GTM. Our goal is to turn complex monetization and financial data into accurate, explainable, and timely data products while building systems that scale with the growth and complexity of the business. About the role We are looking for a Data Engineer to improve and build the next generation of our monetization data platform. You will own high-impact systems end to end, from product instrumentation, source ingestion, and canonical modeling through quality controls, observability, and delivery to downstream consumers. This is a hands-on role for an engineer who enjoys solving ambiguous product and data problems, designing durable architectures, and partnering closely with Product Engineering, Finance, Accounting, and GTM. You will help define technical direction, raise the engineering bar, and turn monetization opportunities into trusted, scalable data products and platform capabilities. In this role, you will Design, build, and operate large streaming and batch data pipelines that process product, financial, and operational data from a variety of internal and external systems. Develop canonical data models and reusable data products for domains such as product usage, pricing, billing, ads, payments, revenue, and the general ledger. Establish strong guarantees for data accuracy, completeness, freshness, lineage, reconciliation, and auditability. Build frameworks and platform capabilities that improve developer productivity and make it easier for teams to launch, measure, and iterate on m

About the Job: As a Staff Engineer on LaunchDarkly's product engineering team, you'll design and build the next generation platform that helps all LaunchDarkly users (human and agent) interact and use our services. Our product suite enables customers to run A/B tests, measure the impact of feature changes, and optimize experiences, and is integrated with a feature management and observability platform that processes trillions of evaluations daily. This role sits at the forefront of our next generation of user interaction with our suite of products. We have a sophisticated set of users, and we have now learned through working with them and observing their usage patterns what a major redesign can do to help give them a more pleasant, productive, and efficient experience with our products. You'll work across our entire product suite, focusing on understanding the key use cases, building the experiences and the supporting technical platform, and providing guidance and tools for other teams to be able to build better experiences more quickly. Deep technical experience, a scientific mindset, and the ability to influence product and technical direction are critical. You'll lead by example: setting the bar for rigor, mentoring teammates, and owning systems end to end, including on-call. Responsibilities: Build and design our next generation of user experiences (human and agent) across the LaunchDarkly suite. Collaborate with other product teams to ensure they have the tools and platform to build great user experiences. Mentor engineers and raise the team's bar for technical rigor and system design. Own operational excellence for the experience platform - monitoring, observability, incident response, on-call. Robust telemetry and alerting. Qualifications: 10+ years building large-scale products with sophisticated audiences that are looking for help and leverage to do complex work. Has built and designed the interfaces and supporting technology platforms in consumer-grade ent

About the Job: LaunchDarkly is seeking a Senior Backend Engineer to join our Experimentation team. The Experimentation team is building one of the company’s most strategic product areas: a platform that helps leading engineering organizations move beyond intuition and make product decisions with real statistical confidence. Sitting at the intersection of large-scale systems, data science, and user experience, the team is creating a best-in-class experimentation product that lets customers set up, manage, and analyze experiments with ease while still earning the trust of even the most rigorous data teams. From warehouse-native analysis to experimentation workflows built on top of LaunchDarkly’s massive feature management scale, this team is tackling ambitious technical problems with visible customer impact and a clear opportunity to define the future of modern software experimentation. As a Senior Backend Engineer, you will design and operate the services that power this product, contribute to technical direction, and help deliver new functionality to customers. You will work closely with product managers, designers, data scientists, and engineers across LaunchDarkly to solve complex, data-intensive problems with meaningful customer impact. Responsibilities: Design, build, and operate scalable backend services and APIs that power LaunchDarkly’s Experimentation product. Own backend components across their lifecycle, including technical discovery, design, implementation, testing, deployment, monitoring, incident response, and continuous improvement. Build and evolve systems supporting experiment setup, event data ingestion, metric computation, results processing, and results presentation. Contribute to architectural decisions and technical proposals, making thoughtful trade-offs around scalability, reliability, performance, cost, and maintainability. Partner with product managers, designers, data scientists, and adjacent engineering teams to translate customer needs an

Production Engineer is responsible for executing and optimizing production processes while ensuring quality, safety, and cost efficiency. The role supports daily operations, resource planning, and reporting to ensure seamless and effective precast production. Source: Adani Group | Job ID: 53427

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Backend Engineer on the Chat Engine team, you'll build the engine behind GitLab Duo Chat, the conversational AI experience for GitLab. You'll work primarily in Python to build and maintain our agentic runtime: the Flow Registry, LangGraph flows, and the Duo Workflow Service. You'll also work in the GitLab Rails monolith, where Chat connects with the product. You'll own scoped parts of the system, ship small features and improvements with minimal guidance, and collaborate with the team on larger projects. You'll work alongside senior and staff engineers who will partner with you on design and support

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 a high-growth SaaS observability platform built on the Snowflake AI Data Cloud, enabling businesses to troubleshoot modern distributed applications 10x faster. Now, as a core part of Snowflake, we’ve reached a major milestone in the evolution of the Snowflake platform. By bringing AI-powered observability directly into the Snowflake ecosystem, we’ve created the first truly unified platform for telemetry and business data. We’re looking for an Implementation Engineer to help enterprise customers successfully deploy, configure, and operationalize Observe. This is a hands-on, post-sales technical role focused on delivering strong first outcomes, accelerating time-to-value, and establishing a solid foundation for long-term customer success. Implementation Engineers are deeply technical, customer-facing practitioners who work closely with customer platform, SRE, DevOps, and application teams during onboarding and early adoption. In this role, you’ll translate existing observability architectures (including OpenTelemetry-based pipelines, Splunk, ELK, and other monitoring solutions) into scalable, production-ready implementations on Observe—using best practices while balancing speed, quality, and customer enablement. Implementation Engineers focus on initia

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. Are you passionate about helping organizations unlock the power of AI through modern data architecture? Snowflake is looking for a customer-facing Solution Engineer who combines strong technical depth with executive presence and a passion for innovation. In this role, you’ll partner with Sales to guide customers from raw data to real AI impact — architecting scalable solutions, delivering compelling demos, and influencing complex buying decisions across executive and technical audiences. Location: Candidate MUST be located in or near Atlanta. What You’ll Do Lead customer conversations on AI strategy and data modernization. Design and demonstrate scalable data and AI solutions using SQL and Python. Support enterprise Proof of Concepts from concept to value realization. Translate complex technical concepts into measurable business outcomes. Navigate objections and competitive dynamics in high-stakes sales cycles. Leverage AI tools to personalize demos, accelerate preparation, and enhance delivery. What You Bring Strong SQL proficiency and experience with modern data warehousing. Experience using Python for analytics or ML workflows. Familiarity with AI/ML concepts, including Generative AI and LLMs. Exceptional communication skills across technical and executive audiences. Abi

About the Team At DoorDash, including international brands Deliveroo and Wolt, we’re building the industry’s most scalable and reliable delivery network to support our three-sided marketplace of consumers, merchants, and Dashers. Global Cyber Defense is a highly talented and globally distributed team that covers response, intelligence, insider risk, threat hunting, automation, and detection engineering. We exist to keep our brands safe for the Dashers, merchants, and consumers who depend on us. Our mission is to detect, investigate, and respond to cyber threats with speed and precision, while continuously hardening our defenses through automation, AI, and cross-regional collaboration. About the Role The senior detection engineer is part of the larger detection engineering team that creates, tunes, maintains, and improves the detection lifecycle. This hands-on role is at the forefront of agentic detection engineering of a rapidly maturing security function. You’ll work closely with our data pipelines team, incident response, insider risk, and threat intelligence teams to make the most effective detection content to detect threats as quickly as possible. Detection at DoorDash spans more than the corporate estate. You’ll build coverage across cloud infrastructure, corporate endpoints and identity, and the marketplace itself - where consumer, merchant, and Dasher platforms create abuse and insider-risk patterns you won’t find in a typical enterprise SOC. We’re actively consolidating detection onto a modern data platform, so you’ll have real influence over what the pipeline looks like. This role reports to the Senior Manager, Cyber Defense located in the United States and participation in an on-call rotation is required for this role. You’re excited about this opportunity because you will… Conduct hands-on detection engineering for custom alerting, to include implementing risk-based analytics to reduce alert volumes and promote high-fidelity alert

FEQ427R411 Req ID Mission Reporting to a Director, Field Engineering, the Sr. Manager, Field Engineering will help lead a team of Solutions Architects (SAs) for the Startups segment of Databricks’ Field Engineering team. You will lead and promote a diverse team focusing on enterprise software, big data/analytics, data engineering, data science, data warehousing and gener ative AI. Leading the technical sales team, you will partner with Sales (and other Field Engineering technical segments) to increase revenue and help custo mers achieve success through Databricks’ Data Intelligence Platform. You wil scale and maintain an outstanding Field Engineering team that is efficient in its operations to help ac celerate Data bricks' growth in the market. The Impact You Will Have You will hire, train, and grow a team of Solutions Architects for a company in high-growth mode Make your customers e xtremely successful with Databricks and provide outsized value to their businesses You will maintain a robust hiring pipeline of highly qualified, bar-raising candidates You will establish relationships across the business to make your customers and team successful You will keep your team of SAs ah ead of the technical curve by ensuring they maintain advanced knowledge of the Databricks technology stack You will ensure that you r team is continuously learning and working to provide our customers with the most comprehensive solution s for their needs You will engage with customers strategically at the Executive Level to drive mutually beneficial outcomes and set GTM strategy and drive world class execution towards meeting aggressive sales targets What We Look For Proven experience building and leading technical pre-sales teams - hiring, on-boarding, coaching and mentoring those teams to mature and grow into highly capable individual operators as well as exceptional team-players 10+ years of experience in the data space with a technical product (i.e. data warehousing, big da

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Implementation Engineer As an Implementation Engineer at Adyen, you will partner with fast-growing and enterprise businesses to design, integrate, and scale how they use Adyen’s payment platform. This role sits at the center of complex technical delivery and pre-sales collaboration, where you help merchants make architectural decisions that directly impact performance, scalability, and global expansion. You’ll work on complex integration challenges where design decisions shape how global merchants operate at scale. This position is based in Chicago, and the ideal candidate is both consultative and technical. We are looking for candidates with strong experience in APIs, integrations, and technical delivery. You will act as the primary technical partner for merchants, owning projects from solution design through to successful launch. What you’ll do: Deliver end-to-end implementation projects from solution design through to go-live Design and help merchants build high-performance, API-based integrations for complex systems. Partner closely with Sales during pre-sales to shape solutions, assess feasibility, and support technical discussions with prospective merchants Act as the primary technical partner for merchants, guiding architecture and integration decisions Build alignment across Product, Engineering, Sales, and Project Man

Role Overview As a Senior Software Engineer, AI Ops at Scale AI, you will own the long-term technical health, performance, and stability of AI solutions deployed across our strategic public sector partners. While our Delivery Teams build and launch new use cases, you are the technical steward ensuring these deployments operate with Operational Excellence. You will bridge software engineering, MLOps, and client governance, managing tiered SLAs, tracking model drift, and executing maintenance protocols that protect both system integrity and operational margins. Key Responsibilities Handover Gate & Onboarding: Act as the technical gatekeeper during the formal transition from Delivery to Maintenance. Conduct deep-dive reviews to ensure baseline code, prompts, and architecture meet strict maintainability and documentation standards before sign-off. Tiered SLA & Incident Management: Own technical response and resolution targets across multi-tiered service models (from Business-Hours Essential to 24/7 Mission-Critical). Lead Incident Governance, Root Cause Analysis (RCA), and P1/P2 mitigations within strict active support windows. AI Lifecycle Governance: Monitor production model performance, latency, and data drift. Manage prompt configuration repositories to maintain behavioral consistency and perform regression testing when LLM providers update underlying endpoints. Request Classification & Technical Scope: Operationalize the boundary between Routine Maintenance (In-Scope) and System Evolution (Out-of-Scope). Assess incoming client requests and run comparative benchmarking on new AI models. Automation & Reliability Engineering: Eliminate operational toil by engineering self-healing data pipelines, automated RAG indexing syncs, and telemetry tooling. Influence upstream "Delivery" teams to adopt architectural patterns that simplify ongoing maintenance. Client Technical Interface: Serve as the senior technical point of contact for government and enter

Zeal is an AI-enabled software consultancy purpose-built for Fortune 1000 companies, and we’re now part of Livefront . We help companies navigate technology to drive business outcomes by attracting, retaining, and growing exceptional talent and empowering them to use innovative technologies and process frameworks. We’re a values-driven technology company grounded in kindness, generosity, and integrity. Our mission is to build a place where our employees love their future and where clients trust us to deliver what we promise: to improve their business through technology. Love your future. We’re looking for an outstanding AWS Engineer to join our team. This role is available across our primary LATAM hub in Peru. Who you are You are an experienced cloud engineer who understands that operating reliable systems starts with understanding what those systems are doing. You bring deep AWS expertise and have designed observability solutions that give engineering teams meaningful visibility into the health, performance, and behavior of complex applications and infrastructure. You are comfortable working across metrics, logs, traces, dashboards, alerting, and instrumentation, and you know how to turn telemetry into actionable insights, not noise. You communicate clearly with development teams and stakeholders, approach reliability problems methodically, and thrive in a consulting environment where technical environments, clients, and priorities change. What you will be doing Design and implement observability strategies for applications, infrastructure, containers, and distributed systems running in AWS. Build monitoring, logging, tracing, alerting, and visualization solutions using AWS services such as CloudWatch, X-Ray, OpenSearch, Managed Service for Prometheus, and Managed Grafana. Instrument applications and services using OpenTelemetry and other modern observability standards and frameworks. Build meaningful dashboards, alerts, SLIs, and SLOs that help teams identi

The Team + The Role Pendo’s Customer Engineering team is the technical backbone of the pre- and post-sales customer motion. The team brings together work that has historically sat across Customer Success, Technical Account Management, and Solutions Engineering into one full-lifecycle technical owner. Customer Engineering helps customers connect technical execution to business outcomes and realize the value of their investment in Pendo. As a Senior Customer Engineer, you own strategic and complex Enterprise accounts across acquisition, implementation, adoption, expansion, and escalation. You lead technical strategy for complex deployments, resolve ambiguous customer challenges, and partner closely with account teams to drive retention, expansion, and customer value. Your impact extends beyond your own accounts through playbooks, coaching, repeatable fixes, and workflow improvements that raise the capability of the broader Customer Engineering team. This is a remote role supporting a West Coast territory. What this looks like day-to-day New customer acquisition and selling: Partner with Account Directors on pre-sales motions for new customer acquisition, product expansion, and expansion across lines of business. You identify customer pain, craft and deliver tailored demos, and lead technical evaluations through requirements gathering, success criteria, installation guidance, and hands-on workshops. Complex implementations and value realization: Lead onboarding for strategic customers, including planning, implementation, integrations, and training. You build customer-specific implementation playbooks, guide complex deployments with executive visibility, and ensure customers realize value during onboarding and over time. Adoption, expansion, and growth: Identify opportunities to expand adoption across underutilized features, untapped products, and new lines of business. When adoption stalls, you diagnose root causes, design a path forward, and connect technical wo