Senior Database Engineer Jobs

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As part of Micron's Technology Engineering & Innovation (TE&I) organization, you will have the opportunity to shape the future of our global infrastructure platforms while enabling business growth, operational resilience, and digital transformation at scale. The Opportunity Micron is seeking a transformational Senior Director of Technology Engineering & Innovation (TE&I) to lead the strategy, engineering, operations, and modernization of our global infrastructure ecosystem. This role is responsible for defining and executing Micron's vision across enterprise networks, cloud platforms, data center strategy, database services, infrastructure engineering, automation, observability, and global infrastructure operations. As a key member of the TE&I leadership team, you will drive innovation, operational excellence, and strategic transformation while building a high-performing organization focused on business outcomes and exceptional customer experiences. The successful candidate will be equally comfortable developing multi-year technology strategies, leading large-scale infrastructure transformations, driving operational performance, developing talent, and fostering a culture of collaboration, accountability, and continuous improvement. What You Will Do Lead Global Infrastructure Strategy & Transformation Define and execute Micron's global infrastructure vision and strategy. Develop multi-year roadmaps for: Enterprise Network Services <l

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 Senior or Staff Backend Engineer with the Database Excellence group , you'll build and evolve database automation and PostgreSQL as a service capabilities for GitLab. The level will be determined during the hiring process. You'll use Go to automate the full lifecycle of PostgreSQL across GitLab's infrastructure, making database operations safer, more consistent, and easier to scale for databases that sit behind high-throughput, always-on internet services. You'll work closely with partner teams to shape how GitLab provisions and manages PostgreSQL in a fully remote, highly collaborative environment.

A newly created role to help Databricks create new product categories. As Databricks accelerates its most strategic products, we are investing ahead of the curve in the partner ecosystem that helps our customers adopt them, and we are building a new specialisation function to lead that effort. You will pioneer it across EMEA. Reporting to: Director, Partner Field Engineering (EMEA). As the Senior Product Specialist Partner Solutions Architect, you own how our leading System Integrator partners develop deep, market-leading expertise in Databricks' priority products: OLTP/Postgres (Lakebase): Databricks' fully managed, Postgres-compatible operational (OLTP) database for intelligent applications Product AI (Genie): Databricks' natural-language analytics experience, letting anyone ask questions of governed data conversationally AI Router & Governance (Unity Gateway): Databricks' governed gateway for securely managing, monitoring and routing access to AI and large language model endpoints Migrations & Modernisation: moving legacy data warehouses and platforms onto the Databricks Data Intelligence Platform Turn-key Solutions: Cybersecurity (Lakewatch) and CDP (CustomerLake) with more to come Your mandate is to take our leading partners to the highest tier of Centre-of-Excellence product specialisation on these products, and to turn them into independent, market-leading extensions of the Databricks field. Working hand in hand with our EMEA Product Specialist team, you will carry both the deep technical narrative and the business-value and go-to-market narrative that get these products positioned, adopted and scaled through the partner channel. This is a builder's role: you will design the blueprint for a partner product-specialist function that Databricks scales globally, starting in EMEA. What we are trying to achieve Databricks' priority products are seeing strong momentum across EMEA. Lakebase is one of the fastest-growing additions to our platform, Unity Gatewa

Location: Toronto (Hybrid – 4 days per week) | Practice Area: Banking & Payments | Type: Permanent Help financial institutions strengthen cryptographic protection, governance and resilience across complex technology environments. The Role As a Senior Consultant, Cryptography at Capco, you will help our financial services clients strengthen how they protect sensitive data across on-premises and cloud environments. You will bring practical knowledge of applied cryptography alongside experience identifying cryptographic and data security gaps at enterprise scale. Working with technology teams, asset owners and other stakeholders, you will help develop cryptographic requirements, monitor adherence, identify areas of non-compliance and support effective remediation. The role spans cryptographic governance, encryption, PKI, key lifecycle management and emerging areas such as post-quantum cryptography and cryptographic agility. What You’ll Do Develop and enhance cryptography frameworks, guiding principles, policies, procedures, standards and technical requirements. Identify cryptographic and data security gaps, assess their impact and work with asset owners and stakeholders to remediate areas of non-compliance. Support cryptographic protection of Data at Rest and Data in Transit across on-premises and public cloud environments. Provide guidance across encryption, PKI, key lifecycle management, TLS, digital certificates and database Transparent Data Encryption (TDE). Develop and execute remediation plans relating to audit findings and help strengthen cryptographic controls across complex enterprise environments. What We’re Looking For Strong experience with applied cryptography, cryptographic governance and enterprise data protection within complex technology environments. Knowledge of symmetric and asymmetric encryption, PKI, x509 digital certificates, SSH, TLS, TLS cipher suites and cryptographic key lifecycle management. Experience with encryption technologies across

FEQ327R245 Mission The Senior Solutions Architect (Lakebase) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region. Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product. They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives. The Senior Solutions Architect (Lakebase) is paired with an Account Executive aligned to a given product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that clients make an informed decision as they decide to adopt the product-line in a meaningful way. The Lakebase product-line requires the following core technical competencies: 10+ years of transactional database (OLTP) expertise across engineering, product development, administration, and pre-sales, with a proven track record of designing and delivering client-facing solutions. Credibility in influencing OLTP products with the market insight needed to shape and prioritize roadmap capabilities. Experience architecting solutions that integrate transactional data systems within broader Big Data, Lakehouse, and AI ecosystems. Infrastructure, platform and administration expertise around disaster recovery, high availability, backup and recovery, scale-out methods, identity an

(FEQ327R229) The Solutions Architect (Lakebase) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritised product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region. Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product. They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives. The Solutions Architect (Lakebase) is paired with an Account Executive aligned to a given product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that clients make an informed decision as they decide to adopt the product-line in a meaningful way. The Lakebase product-line requires the following core technical competencies: 10+ years of transactional database (OLTP) expertise across engineering, product development, administration, and pre-sales, with a proven track record of designing and delivering client-facing solutions. Credibility in influencing OLTP products with the market insight needed to shape and prioritise roadmap capabilities. Experience architecting solutions that integrate transactional data systems within broader Big Data, Lakehouse, and AI ecosystems. Infrastructure, platform and administration expertise around disaster recovery, high availability, backup and recovery, scale-out methods, identity and security ma

Join our MongoDB Search Systems Engineering team at the forefront of building next-generation database infrastructure at scale. You'll work alongside some of our most talented and deeply technical engineering teams who are architecting distributed systems that power highly performant search and AI applications for enterprise customers worldwide. This team operates at the intersection of infrastructure innovation and customer impact—building the foundational platform capabilities that will define how organizations leverage search and AI at scale for years to come. In this role, you'll serve as both strategic partner and technical translator, helping brilliant engineers navigate the path to operational excellence while maintaining the forward vision to anticipate market needs 18-24 months ahead of current development cycles. What Makes This Role Unique: This is about architecting the future of search infrastructure. You'll be working with engineers who live and breathe distributed systems, helping them channel that brilliance toward platforms that don't just work today, but anticipate the architectural needs of tomorrow's AI-native applications. If you light up at the challenge of seeing around corners in infrastructure and can hold your own in technical debates about consensus protocols while keeping the team focused on customer value—this is your role. This role can be based out of our San Francisco office or remotely in USA region. Role Responsibilities Contribute to the Future of Search Infrastructure: Drive the long-term technical vision for MongoDB Search, anticipating emerging patterns in vector, hybrid, and AI-native applications to build conviction around platform investments 12–18 months ahead of market demand Champion the Customer & Innovation: Act as the voice of customers building mission-critical AI applications, using deep technical discovery to uncover latent needs around scalability and consistency, ensuring our architecture leads the industry in

As a Senior Curriculum Engineer, you'll work with a team of creative educators and software engineers dedicated to building the future of online technical education, developing courses for MongoDB University . MongoDB University is the online training department of MongoDB and is chartered with building high-quality training at a basic and advanced level across the entire MongoDB product stack. The University team is focused on creating skill-based learning content designed to equip enterprise users and a general audience with the core skills needed to use MongoDB successfully. Your work will directly impact the learning experience of millions of developers around the world, helping them become experts in the field by honing their skills on the fastest-growing modern database. This role will be based remotely in Ireland. What You’ll Do You’ll work closely with a team of curriculum engineers, curriculum designers, and in-house subject-matter experts to build course materials focused on upskilling enterprise customers. You'll write presentations for our partner teams, design hands-on activities, and deliver content, ensuring these MongoDB learning resources are relevant, interactive, and reflect the challenges developers encounter in the real world. In this role, we expect you to continually deepen your knowledge of MongoDB and become an expert in a subset of its offerings. You will articulate the key concepts and skills that need to be covered in a training course, write course materials for an enterprise audience, design the hands-on exercises, and also support the creation of skill badges that assess a learner's knowledge. If you are a current software developer or a system administrator, you will be able to add a lot of value to the team as we strive for our training to be from experts who already use our products or similar offerings. If you are new to MongoDB, you'll be expected to learn MongoDB products quickly and articulate how they work.&nb

As Senior Data Scientist for Engineering Systems you will work independently alongside sharp, generous, and pragmatic engineers from Server Query, Atlas Clusters, and Release Quality, among other teams. Together, we tackle problems spanning resource scaling across the Atlas fleet, safe feature rollout to MongoDB clusters, automated incident response and query engine performance. Join the Platform Data Science team and help us research, prototype and ship machine learning features for MongoDB’s core server, query engine and Atlas, our database-as-a-service cloud offering. We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model. What You'll Do Partner with Server Query, Atlas Clusters, Release Quality and other engineers to embed algorithmic rigor and optimization into resource scaling, release-safety and monitoring systems across the fleet and inside query engine Deliver production-ready, thoroughly tested statistical and ML algorithms with well-identified limitations that deliver measurable business impact, not just an impressive-sounding methodology Own the full feedback loop: instrument model architecture with the metrics needed to track performance and create dashboards in collaboration with our stellar analytics team, collect feedback from users and metrics to diagnose issues or opportunities, and iterate accordingly Deliver thoughtful, kind code reviews to your peers and act as a core contributor to internal packages, tooling, and team processes that increase developer productivity Measures of Success In 3 months, you’re familiar with our workflow, have an elementary understanding of our product and what teams we work with. You have delivered small-to-medium improvements to our project portfolio In 6 months, you’ve delivered one feature you researched and prototyped from scratch and demonstrated its impact on business metrics of your choice In 12 months, you've established a track record of shipping ML-driven improveme

WE'RE HIRING Senior SQL Data Engineer Azure & Snowflake Remote (WFH) Immediate Joiners only Location: Remote Employment Type: Full-Time Immediate Joiners Preferred Salary: Up to 8 LPA (PF Included) Experience: 4+ Years We are looking for a highly skilled Senior SQL Developer with strong experience in Microsoft Azure and Snowflake to design, develop and optimize enterprise data solutions. Must have 4+ years as a SQL Developer, Data Engineer, or Data Warehouse Developer, The successful candidate will have excellent SQL development skills, a strong understanding of data warehousing and data modelling, and hands-on experience building cloud-based data pipelines and analytical platforms. The role involves working closely with data architects, engineers, analysts and business stakeholders to deliver reliable, scalable and high-performing data solutions. Key Responsibilities -Design, develop and maintain complex SQL queries, stored procedures, views, functions and database objects. -Must have 4+ years as a SQL Developer, Data Engineer, or Data Warehouse Developer -Build and optimise data transformation processes for large-scale datasets. Develop data pipelines using Azure Data Factory, Azure Synapse Analytics and related Azure services. -Design and implement data solutions within Snowflake. -Develop Snowflake tables, views, stored procedures, streams, tasks, stages and file formats. -Create and maintain ETL and ELT workflows across Azure, Snowflake and source systems. -Analyse and improve the performance of SQL queries, data pipelines and warehouse workloads. Design dimensional models, including star and snowflake schemas, fact -tables and dimension tables. Implement data quality checks, validation rules, reconciliation processes and error-handling frameworks. -Support data migration and modernisation programmes from on-premises platforms to Azure and Snowflake. -Develop incremental loading, Change Data Capture and Slowly Changing Dimension solutions. -Troubleshoot da

We are seeking a highly skilled Assistant Vice President (AVP), Software Senior Engineer, to design, develop, and maintain robust middleware solutions. The ideal candidate will have deep expertise in Java and Spring Boot, strong database knowledge, and a passion for leveraging AI to drive productivity and innovation. Responsibilities&#34; Design & Development : Lead development of complex middleware applications using Java and Spring Boot, leveraging AI-powered tools (Copilot, Codex) to accelerate development and enforce best practices Database Optimization : Architect and optimize database interactions with Oracle, SQL, and MongoDB, using AI to analyze performance and suggest improvements CI/CD Excellence : Drive adoption of CI/CD pipelines with AI-integrated testing, vulnerability scanning, and predictive failure analysis Collaboration : Work with cross-functional teams to define requirements and deliver high-quality software Mentorship : Guide junior engineers and foster AI-driven development practices Innovation : Research and implement AI technologies to enhance productivity and software quality Code Quality : Participate in code reviews using AI-powered analysis tools for bug detection and security scanning Problem Solving : Troubleshoot complex issues using AI-driven anomaly detection and log analysis Risk Assessment : Leverage AI for advanced risk analytics and compliance monitoring Required Technical Skills: Core Java : Strong understanding (preferably Java 11/17), multithreading, collections, garbage collection, JVM internals Frameworks : Extensive experience with Spring Framework (Spring Boot, Spring MVC, Spring Data JPA, Spring Security) Middleware : RESTful APIs, microservices architecture NoSQL Databas

The MongoDB Documentation team is a group of writers and engineers who develop and maintain the documentation for the MongoDB product family. Our goal is to help our readers, both humans and AI, successfully use MongoDB products by providing outstanding documentation. The MongoDB Documentation team is a part of the MongoDB Core Product organization and is tightly integrated with the engineering teams responsible for each product. The Docs team is responsible for documenting all aspects of the MongoDB data platform including the database, query language, Atlas, Vector Search, VoyageAI models, Full-Text Search, Stream Processing, client libraries, administrative tools, connectors, and more. Your AI-forward mindset coupled with strong writing and technical skills will create clear reference docs and tutorials on high-complexity features. Your work, along with the other two MongoDB Docs teams, support AI agents, answer engines, and a large global community of new and experienced MongoDB users. We are looking to speak to candidates who are based in Gurgaon, Bengaluru or Mumbai for our hybrid working model. Candidate Profile: Candidates must have experience in a technical writing, technical communications, developer relations, or similar role in the software industry. Beyond industry experience, we are looking for someone who: Has experience writing technical documentation from scratch in English Possesses strong critical reading and writing skills Has hands-on experience using AI tools to accelerate documentation work Leverages sound editorial judgment to evaluate AI-generated content against source material for technical accuracy Has experience with cloud and database technologies Is able to read code for technical examples in at least one programming language (e.g., C++, C#, Java, Python, JavaScript) Has experience testing and validating documentable features and concepts Position Expectations: Advocate for users in everything you write Work with technical and no

About Pinecone: Pinecone is the leading vector database for building accurate and performant AI applications at scale in production. Pinecone's mission is to make AI knowledgeable. More than 5000 customers across various industries have shipped AI applications faster and more confidently with Pinecone's developer-friendly technology. Pinecone is based in New York and raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital. About the role/team: We are hiring an experienced Enterprise Account Executive to support our growth into F500 and G2000 customers! Reporting directly into the Head of Global Sales, this person will play a critical role in the growth of Pinecone as we expand the power of knowledge retrieval and AI infrastructure for Agentic use cases across the world’s largest organizations. Responsibilities: Owning a territory and quota of large Enterprises that you will prospect and break into to secure POCs and committed contractual relationships with. Managing inbound leads through the BDR, PLG, and MQL channels Lead all sales related activities through the various stages of the buying journey; in accordance to Pinecone’s defined sales process Selling and winning against our competitors Ensuring the customer is deployed successful and positioned for expansion Partnering cross-functionally with Sales Engineering, Forward Deployed Engineering, Product, Engineering, Finance, and Marketing Successful Pinecone Account Executives have a high degree of technical knowledge, and are comfortable selling into developers and engineering leaders. They are excited about working in a startup environment, comfortable with ambiguity, and ready to build an amazing business that will change the infrastructure landscape. Requirements: Experience in the infrastructure, data software, and genAI space is preferred Experience selling to developers and engineering leaders is a must Candidates should have a minimum 5-7 years experience as an E

EMPLOYER IS A CONTRACTOR FOR THE U.S. GOVERNMENT. THIS POSITION REQUIRES U.S. CITIZENSHIP. Role Description: Defense Unicorns is seeking a Mid to Senior Software Engineer to help drive our transformation from legacy, on-premises software to a modern, cloud-native platform. In this role you will play a key part in designing and building our next-generation scalable data pipelines to ingest, transform, and load data from diverse sources. You'll be joining Defense Unicorns’ US Navy team and be responsible for creating and owning end-to-end project delivery, and advocating best practices in database usage and system architecture. You will work closely with other software engineers, platform engineers, end users, and external stakeholders. Responsibilities: Partner with data architects, analysts, and a wide variety of stakeholders to translate ambiguous product requirements into technical solutions Design, build, and maintain complex ETL/ELT workflows Implement security protocols, including authentication and authorization, Create optimized transformations to clean, enrich, and model data, utilizing cloud-native tools Ensure data quality, integrity, and compliance, maintaining metadata and lineage Help refactor and modernize existing on-prem systems into distributed, cloud-based services Contribute to the design of authentication, identity management, and RBAC/ABAC frameworks Participate in architectural discussions, code reviews, and ongoing technical improvements Drive best practices in microservice design, testing, observability, and CI/CD automation Collaborate closely with partner company engineers and stakeholders to devise the best solutions for our Mission Heroes Collaborate with the Defense Unicorns product team sharing improvements and growth opportunities for future projects Comfortable in an asynchronous, all remote environment Actively participate in communities of practice via Slack and Github Issues Integrate soft

OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity We are looking for a Senior Staff Engineer/Engineering Director who will be responsible for the design, deployment, optimisation, and full lifecycle management of enterprise-level cloud database platforms. Lead the implementation of multi-cloud architectures for Alibaba Cloud and AWS databases, ensuring high availability, high performance, and cost optimization. What You'll Be Doing Database Architecture Design & Optimization Design, deploy, and optimize cloud databases on Alibaba Cloud (RDS, PolarDB, Redis, MongoDB) and AWS (RDS, Aurora, ElastiCache, DynamoDB). Select appropriate database types (relational/NoSQL/NewSQL) and service models (managed services vs. self-built clusters) based on business requirements. Operations & Monitoring Implement high availability (HA) and disaster recovery (DR) solutions, such as Alibaba Cloud cross-zone deployments, AWS Multi-AZ, and cross-region replication. Monitor database performance and health using