Senior Database Engineer Jobs

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the role: Help power the development of Replit Agent as an engineer in the Replit Cloud organization. The Replit Cloud team builds Replit’s first party cloud infrastructure so users can build, scale, and succeed entirely on Replit. They manage databases, application storage, app publishing and hosting, development/production environment splitting, custom domains, and more. By having a set of first party services that integrate seamlessly, you will power one of Replit’s key product differentiators. You will: Work closely with designers and product managers, to quickly iterate on Replit Cloud to continually grow and improve the product. Drive full-stack feature development from conception to deployment, taking ownership of key product initiatives. Contribute to architectural decisions that shape the future of our product. Ship product and build infrastructure as a true full stack builder using: TypeScript, React, CSS, Postgres, Go, and Terraform. Examples of what you could do: Leverage our unique cloud infrastructure to build differentiated full product experiences, helping non-technical or semi-technical users remove roadblocks to success. Leverage AI agents to proactively optimize or suggest app improvements on latency, reliability, SEO, and more. Be part of engineering leadership, steering teams towards the highest impact work and supporting initiatives across the company. Required skills and experience: Bachelor’s degree in Computer Science or related field, OR equivalent real-world experience in engineering roles. Comfortable building with our tech stack: TypeScript, React, Go Preferred Qualifications Experience building user facing platform as a service products. Experience with AI/agentic systems. Previous e

We are hiring a Senior AI Engineer to build and operate production AI systems and infrastructure. In this role, you will work on AI agents, MCP servers, agent evaluation, and Temporal-based workflow frameworks. This is a hands-on engineering role for someone who can move between backend systems, AI application development, deployment, and production support. You will help build reliable services and frameworks that make AI agents usable, measurable, and dependable in production. What you’ll be doing: Build and deploy AI agents that use tools, call services, manage context, and execute multi-step tasks. Develop and maintain MCP servers and tool integrations used by internal AI systems. Build workflow infrastructure using Temporal or similar orchestration frameworks. Design and implement agent evaluation flows, test suites, quality metrics, and feedback loops. Design backend services, APIs, persistence layers, and platform components for AI applications. Work with SQL and NoSQL databases, queues, distributed systems, and cloud-native infrastructure. Build CI/CD pipelines, Docker images, Kubernetes deployments, monitoring, and operational tooling. Debug production issues across services, workflows, agents, tools, models, and infrastructure. Collaborate with engineering, product, infrastructure, and data science teams to turn requirements into reliable systems. What we need to see: 5+ years of experience and a practical understanding of how AI agents are built, including tool use, state, context, and multi-step execution. Bachelors degree or equivalent experience. Experience with at least one open-source agent or LLM application framework, such as LangChain/LangGraph. Strong software engineering background, especially in backend development. Experience with distributed systems, workflow orchestration, and prod

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Data Engineer Data Engineer, D&A Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview Data & Analytics team is part of MasterCard Services group and one of the most rapidly growing organization in the space. This team provides analytic software tools that enable large, consumer-focused businesses to seize the Big Data analytics opportunity by triangulating between business strategy, algorithmic math, and large databases to improve decisions. Role The Data Engineer will participate on data management aspects of product engagements to deliver solutions, as well as contribute to and foster a high performance

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary: CVS Health is seeking a Senior Software Engineer to join the team and contribute to architecture, application modernization, cloud adoption, AI integration, and enterprise solution delivery across business-critical platforms. Key Responsibilities: Architect, design, develop, and support enterprise applications using C#, ASP.NET, .NET Core/.NET 8+, Web APIs, and Microservices Lead modernization initiatives involving IBM i (AS400/RPG/RPGLE/DB2) systems and integration with modern technology platforms Design and optimize Microsoft SQL Server databases, including performance tuning, stored procedures, indexing, and ETL processes Implement AI-powered solutions using Azure OpenAI, Microsoft Copilot, Generative AI, AI Agents, and Machine Learning services Develop and maintain scalable cloud-native applications on Microsoft Azure Define architecture standards, security best practices, and development frameworks Collaborate with business stakeholders to translate requirements into technical solutions Lead development teams, conduct code reviews, and mentor junior engineers Drive DevOps adoption, CI/CD automation, and application lifecycle management Required Qualifications: 5+ years of experience in Microsoft technologies (C#, or .Net framework 3+ years o

About the Role We’re looking for Senior Backend Engineers to work on both Product and Product Platform based teams. Product focused Engineers work at the intersection of product and infrastructure to solve key business problems with elegant technical solutions. You'll operate our backend services and architecture that support all product functionality and will be challenged to consider the big picture -- collaborating cross-functionally, as well as evaluating and executing on trade-offs to maximize business impact for the company. We expect Senior Engineers to be able to own projects end-to-end and mentor their junior and mid level peers. This role is hybrid with some in-office time expected and will report to an Engineering Manager. You're excited about this opportunity because you will... Develop, release and run large-scale web applications Develop and define the backend architecture and tech stack for a product area Improve performance, reliability, scalability and security for our backend systems Be involved in transitioning our monolithic codebase to a microservice-based architecture Completely disrupt logistics by tackling bleeding-edge, technical problems We're excited about you because you have... B.S., M.S., or PhD. in Computer Science or equivalent 5+ years of industry experience Prior experience working with backend tech stacks Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software Ability to analyze and improve efficiency, scalability, and stability of various system resources Experience with service oriented architecture, writing REST API’s, unit testing, and architectural design Understanding of modern web stacks and architecture (HTTP, REST) Experience with SQL and NoSQL databases and other technologies (e.g. Postgres, Redis, Elasticsearch, RabbitMQ) About DoorDash At DoorDash, our mission to empower loca

CSQ127R154 As a Senior Production Engineer working on Databricks’ realtime products you will be directly contributing to our customers’ success. You will build advanced monitoring and incident mitigation tooling, and drive changes across the stack to proactively make the realtime products like Lakebase, Neon and Model Serving reliable, secure, and scalable in production. Our production engineers understand the Databricks platform from end to end, and partner across engineering teams, building durable solutions for a platform operating across AWS, Azure, and GCP. The Impact You’ll Have Observability Build advanced monitoring and detection capabilities that give early warning of issues and deep insights into workload performance and customer experience. Build reliable, observable automation for debugging and incident mitigation. Reliability Improve service reliability, scalability, security, and operational efficiency. Develop dependable, safe, mitigations for production issues. On-Call & Incident Response Participate in a follow-the-sun on-call rotation and lead incident response and mitigation. Perform root-cause analysis, identify and implement lasting corrective actions. Partner with Product Engineering, Security, Support, and other infrastructure teams on follow up actions. What We Look For Experience 5+ years of experience in Production Engineering, Customer Reliability Engineering (CRE), Site Reliability Engineering (SRE), infrastructure engineering, backend software engineering, or a related field. Experience in holistic monitoring and alerting of complex stateful systems, applying multiple strategies like workload alerting, anomaly detection and probing. Experience with PostgreSQL, or related managed databases or distributed systems. Experience in incident management and participating in on-call rotations for critical infrastructure. Skillset A mindset focused on automation, root-cause resolution, and continuous improvement. Strong programming skill

Now, more than ever, the Toast team is committed to our customers. We’re taking steps to help restaurants navigate these unprecedented times with technology, resources, and community. Our focus is on building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love. And because our technology is purpose-built for restaurants, by restaurant people, restaurants can trust that we’ll deliver on their needs for today while investing in experiences that will power their restaurant in the future. Are you ready for a change? We are looking for an experienced software engineer to play a critical role in further scaling and developing Toast’s cloud platform and infrastructure. Toast’s platform processes billions of requests per day from hundreds of internal services and hundreds of thousands of mobile devices; these numbers grow exponentially year over year as we add new restaurants and capabilities to the platform. Our team is responsible for developing secure, observable, highly available, large-scale shared services and infrastructure. About this roll * (Responsibilities) Architect, design, and deliver ultra-reliable, high-performance services and infrastructure used by millions Uncover and resolve performance bottlenecks across infrastructure, databases, and APIs Define and enable adherence to engineering best practices, coding standards, and architectural guidelines Collaborate closely with the Product team to influence features, technical direction, and long-term product vision Do you have the right ingredients? Hands-on experience building and operating complex, mission-critical, large-scale distributed systems in the Cloud Expertise in asynchronous messaging, event-driven architecture, APIs, and integration patterns Track record of delivering clean, maintainable, and resilient code that stands the test of time Proficiency in Java or Kotlin preferred (experience in other modern

Senior Software Engineer - Business Automation Build the software that helps build a spaceplane At Dawn Aerospace, we're building a reusable spaceplane and working to make routine access to space a reality. Behind every flight is a huge amount of software. The Spaceplane Software team develops and maintains the systems that power the programme, from mission control and flight software through to the ERP, manufacturing and operational systems used to design, build and fly our vehicles. We're looking for a Senior Software Engineer - Business Automation to take ownership of the software that keeps our business running. You'll work across engineering, manufacturing, supply chain, finance and operations to identify opportunities, build solutions, and deliver tools that have a direct impact on how we develop and manufacture aerospace hardware. This is a role for someone who enjoys solving real-world problems, working closely with stakeholders, and owning products from concept through to deployment. What you'll do Design, build and maintain business-critical software across the full stack Frontend and backend development Databases design and administration UI/UX design DevOps and Site Reliability Engineering Own the roadmap and priorities for Dawn's internal business systems Work directly with teams across the company, from engineering to finance, to understand their needs and deliver solutions that work for them Take projects from idea to implementation, operating with a high degree of autonomy and ownership What you'll bring Bachelor's degree in Software Engineering, Computer Science or a related discipline 3+ years' professional experience in full-stack software development Experience designing, building and maintaining production software systems Nice to have Experience with one or more of: Enterprise Resource Planning (ERP) systems Manufacturing Execution Systems (MES) Production or Manufacturing Engineering environments Quality Management Systems (QMS) Why join

Senior Platform Engineer AI Engineering | Forward Deployed Engineering Role Description Defense Unicorns is seeking a senior AI Agentic Engineer to embed with a government team and its technology partners building an emerging AI-powered engineering ecosystem. This role will focus on designing, integrating, and operationalizing AI agents and agentic workflows within a secure enterprise environment. The engineer will work across large language models, agent frameworks, enterprise data, APIs, developer tooling, and platform services to turn AI capabilities into reliable, mission-relevant workflows. The ideal candidate is a hands-on engineer who understands both the capabilities and limitations of modern AI systems and can rapidly translate emerging technologies into working solutions. They should be comfortable experimenting with new models and agent frameworks, integrating agents with enterprise systems and tools, evaluating performance and reliability, and working alongside platform engineers and commercial technology partners. This is not a research-only role. The focus is on moving from AI concepts and prototypes to secure, useful, repeatable agentic capabilities that can operate in production environments. Responsibilities Design, build, and integrate AI agents and multi-agent workflows using modern LLM and agentic technologies. Develop agent capabilities that interact with enterprise applications, APIs, data sources, developer tools, and mission systems. Integrate models, agents, tools, and enterprise data into secure workflows that can be deployed in controlled and classified environments. Work with LLMs, RAG, embeddings, vector databases, tool/function calling, structured outputs, MCP, and related technologies. Develop mechanisms for agents to securely discover, access, reason over, and act upon approved enterprise data and services. Prototype and rapidly evaluate emerging models, agent frameworks, and AI capabilities to determine where they can create measurab

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. Key Responsibilities: Own and enhance the reliability, scalability, security, and operational readiness of production and non-production environments. Build and maintain Infrastructure as Code (IaC), configuration management, CI/CD pipelines, deployment automation, and operational tooling. Collaborate with Engineering, Product, QA, Security, and Cloud teams to support releases and production deployments. Implement and improve monitoring, observability, logging, alerting, and incident response processes. Troubleshoot issues across Linux and Windows systems, networking, DNS, SSL/TLS, web servers, databases, APIs, and cloud platforms. Support cloud migration, platform modernization, vulnerability remediation, patching, disaster recovery, and operational documentation. Participate in production support, incident management, root cause analysis, and continuous service improvements. Design, develop, test, and deploy new product features and enhancements. Utilize AI-assisted development tools for code generation, refactoring, testing, and documentation while adhering to engineering best practices. Key Skills: 8+ years of exper

About the role Chime’s Cards org is hiring an engineer to help scale and evolve Cards portfolio. In this role, you’ll dive into high-impact projects across our service architecture, collaborating with product, risk, and design partners to deliver resilient, secure systems. While your focus will be backend, we're looking for someone who’s excited to roll up their sleeves and contribute wherever it’s needed most to move the team forward In this role, you can expect to Drive technical design and architectural decisions, while mentoring engineers and fostering cross-functional collaboration Lead and contribute to multiple projects simultaneously, balancing ownership of key initiatives with support across broader team efforts Build and maintain robust, low-latency APIs and backend services that power our Trust and Safety platforms Become the domain expert in our platform architecture, providing technical decisions and solutions to refine our maturing platforms Partner with data engineers, analysts, and product managers to ship impactful features that enhance member protection and experience Improve platform reliability and performance through thoughtful system architecture, observability practices, and automation Evolve our experimentation, policy lifecycle, and ML integration capabilities to support smarter and faster decision-making at scale Engineers are required to participate in on-call rotation. Being on call may include responding to incidents outside of regular working hours when necessary. To thrive in this role, you have 5+ years of experience developing software in a production environment at scale Prior experience serving as a technical lead for a team and on complex projects—driving architectural decisions, coordinating execution, and aligning cross-functional teams Proven experience with Ruby on Rails or comparable frameworks Experience with transactional databases and caching systems Deep understanding of architectural patterns for large-scale web applicat

We are looking for a passionate and skilled AI engineer who is responsible for designing and delivering complex generative AI solutions. This role requires the ability to work autonomously on challenging technical problems, provide mentorship to junior engineers and champion engineering best practices. Due to the nature of the projects and specific client security clearance, this role requires the successful candidate to be a Singapore Citizen or PR of Singapore. Job responsibilities Design, build and deploy GenAI applications using techniques such RAG, Agents, Multi Agent Systems etc., taking ideas from prototype to production. Work with both AI/ML engineers and software engineers to deliver reliable, scalable systems. Own key features or components, ensuring they are well-structured, efficient and easy to maintain. Make technical decisions and contribute to system design with attention to performance, cost and reliability. Collaborate with product managers, designers and data scientists to turn business needs into practical solutions. Share knowledge and mentor junior team members, helping them grow their technical skills. Review code and provide clear, constructive feedback to peers. Understand deployment options and trade offs across different cloud providers such as AWS, Azure, Google Cloud, etc. Understand optimization techniques to improve accuracy, performance and cost for GenAI applications. Job qualifications Technical Skills Strong software engineering fundamentals, including Python, CI/CD, testing, version control and clean code practices. Solid grasp of software design principles and ability to design and implement AI-powered components or workflows. Experience with at least one GenAI framework (e.g., LangChain, LlamaIndex, Semantic Kernel) and one agentic framework (e.g., PydanticAI, LangGraph, AutoGen2). Hands-on experience building and optimizing Retrieval-Augmented Generation (RAG) pipelines with vector databases (e.g., FAISS, Pinecone, Weaviate). F

Senior Product Engineer Engineering Prolific Prolific is not just another player in the AI space – we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditized, it's the quality and diversity of human-generated data that truly differentiates products and models. The role We’re looking for impact-focused Software Generalists to join our specialized team focused on serving frontier model creators and enterprise AI application developers. As a full-stack engineer, you will work across Prolific’s domains to solve customer and product problems. This is an exciting opportunity to work directly with frontier AI companies, making critical technical decisions that balance scrappy startup execution with scalable, reliable engineering, as Prolific revolutionizes research for the AI community. You'll will have regular in person collaboration with customers and our US team, as well as collaborate closely with our UK-based tech teams. This role is hybrid based out of our New York office, approx 1-2 days a week. What you’ll bring to the role Over 4 years of experience in a product engineering role Can translate business concepts into software models Ability to quickly learn and adapt across the breadth of Prolific’s domains Familiar working in both monoliths and distributed systems Strong communication and collaboration skills for direct customer interaction Good understanding of modern web applications and architecture design patterns Experience supporting applications in production environments Judgment to balance scrappy startup execution with scalable, reliable engineering Comfort with rapid iteration and responding to customer queries with urgency Experience with some of our technology stack: Python (we use Django & Fast API) TypeScript and JavaScript (we use Vue.js) SQL and NoSQL databases (we use MongoDB and PostgresSQL) Building an

Curious Minds. Bold Ideas. Extraordinary Impact . We're transforming financial services through bold innovation and relentless execution. You bring the ideas and drive. We'll build what's next — together. As a Senior Platform Engineer in Cloud Infrastructure, you'll help us continue to define infrastructure as code in AWS CDK, operating core services and making the architectural calls that balance scale, reliability, security and cost. You'll partner with application teams to turn what they need into capabilities they can move quickly with, lead proof-of-concepts on new services, and mentor engineers who will learn their craft from you. Your fingerprints will be on how nCino builds for years to come. Responsibilities Design, build, and maintain AWS infrastructure using Infrastructure as Code tools (AWS CDK, or similar), ensuring consistency, repeatability, and version control. Own and operate core AWS services including compute (ECS, Lambda), databases (RDS, DynamoDB), container orchestration (EKS/Kubernetes), and serverless technologies. Own and operate various ingress and edge architectures including, AWS WAF, AWS CloudFront, load balancers, DNS, TLS Certificates at scale. Collaborate directly with application development teams to understand their infrastructure needs and enable them with scalable, reliable platform capabilities. Provide architectural guidance and technical leadership on infrastructure design decisions, considering scalability, reliability, security, and cost-effectiveness. Implement and maintain security best practices across AWS infrastructure, including IAM policies, network security, encryption, and access controls support compliance efforts like SOC2, and PCI. Build and optimize CI/CD pipelines and deployment automation to enable efficient and safe software delivery and familiarity with Gitlab CI and Argo CD is desirable. Monitor, analyze, and optimize cloud costs, identifying opportunities for cost reduction while maintaining performance and

SonicWall is a cybersecurity forerunner with more than 30 years of expertise and is recognized as a leading partner-first company, ensuring our partners and their customers are never alone in the fight against cybercrime. With the ability to build, scale and manage security across the cloud, hybrid and traditional environments in real-time, SonicWall provides relentless security against the most evasive cyberattacks across endless exposure points for increasingly remote, mobile and cloud-enabled users. With its own threat research center, SonicWall can quickly and economically provide purpose-built security solutions to enable any organization—enterprise, government agencies and SMBs—around the world. For more information, visit www.sonicwall.com or follow us on Twitter , LinkedIn , Facebook and Instagram . Roles & Responsibilities Design, deploy, and manage AWS cloud infrastructure and Kubernetes (EKS) environments. Build, maintain, and optimize GitLab CI/CD pipelines for automated deployments. Implement DevSecOps best practices, including infrastructure security, vulnerability management, and compliance controls. Monitor, troubleshoot, and improve platform reliability, performance, and scalability. Deploy and manage cloud-native applications, databases, and supporting services. Collaborate with development teams on architecture, deployment strategies, and production readiness. Drive infrastructure automation using Infrastructure as Code (Terraform). Support incident management, root cause analysis, and operational excellence initiatives. Mandatory Requirements 5+ years of hands-on DevOps/DevSecOps experience in production environments. Strong expertise with AWS services including EKS, EC2, S3, CloudFront, WAF, Lambda, and VPC. Minimum 3+ years of Kubernetes experience, preferably Amazon EKS. Hands-on experience building and managing GitLab CI/CD pipelines. Strong Linux administration and troubleshooting