Senior Azure Cloud Developer Jobs

MongoDB is seeking a Business Operations & Strategy Senior Analyst to join a small, high-impact team working on some of the company’s most important strategic and financial priorities. You will work directly with senior leaders across finance, product, and analytics, including regular exposure to C-suite on high-stakes questions that shape how MongoDB scales. The scope spans strategic planning, business case development for new products, and partnerships with AWS, Google Cloud, etc.. This role is ideal for someone with strong analytical horsepower, structured thinking, and executive presence who wants meaningful ownership and direct visibility into major business decisions. This role is a hybrid / in-office role, with approximately two to three days per week in our New York City Office. Responsibilities Own high-priority strategic and operational initiatives that shape MongoDB’s growth, efficiency, and long-term scale Develop executive-facing business cases and recommendations for key product and infrastructure decisions, including scenario analysis and trade-off evaluation Manage vendor relationships and contract negotiations with hyperscalers (AWS, Google Cloud, Microsoft Azure) Partner with Finance, Product, and other cross-functional teams to evaluate business performance, surface key drivers, and translate ambiguous questions into structured analyses Build and refine gross margin analyses and forecasting frameworks across MongoDB’s core and emerging businesses Requirements 2-5 years of experience in business strategy and operations, preferably at least 2 years as a management consultant or at a data-driven product/technology company Outstanding problem-solving skills and the ability to structure ambiguous business questions into clear analyses and actionable recommendations Strong executive communication skills, with the ability to distill complex findings into concise, compelling narratives Advanced Excel and PowerPoint skills (or Google Suite

As a Sr. Staff Technical Program Manager, you will partner with key Engineering, Product, Product Design, Marketing, and Analytics stakeholders to conduct data-driven experiments and deliver features for MongoDB. As a seasoned program leader, you will be responsible for one of our most mission-critical programs this fiscal year, and own executive level communication related to the program. We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model, or remote within Ireland. The right candidate for this role will be: Experienced with 15+ years of working in an engineering organization leading complex cross-functional technical programs Experienced with 10 years of Software development background, with Cloud storage and compute products Experience with Service Oriented Architecture and Cloud Infrastructure Able to leverage their knowledge and experience to influence technical discussions, summarizing outcomes and next steps Skilled at communicating across a diverse set of engineers and stakeholders Hyper-organized and capable of coordinating across multiple independent work streams and organizations A role model for effective execution practices, driven by an attuned sense of priority and urgency Able to leverage their experience in program delivery to influence improvements to our tools, operations, and architecture Trained in working with project tracking software (e.g. Jira, Rally, MS Project) Familiar with MongoDB or a comparable technology Interested in business automation work such as scripting in Python, Google Apps Script and Slack Position Expectations: Leverage technical acumen and analytical skills to drive engineering programs forward and maximize business value delivery Recognize patterns in a sea of information and take action accordingly Design, maintain, and improve the processes and tools that power program delivery Build strategic partnerships with Product and Engineering stakeholders Expand knowledge into new

MongoDB is seeking a Senior Software Engineer to join the Atlas Clusters Organization. The organization is responsible for building MongoDB Atlas, our database as a service offering and fastest growing product. Atlas allows users to deploy fault-tolerant, secure, globally distributed MongoDB clusters in just minutes. This includes developing software to interface with the three major cloud providers (AWS, Azure, and GCP) in order to bring security, durability, availability, and performance to all deployments of MongoDB. We are forming a new Atlas Clusters team in the Dublin area. We are looking to speak to candidates who are based in Dublin for our hybrid working model. What you’ll do Build and design new features for MongoDB Atlas Contribute to and lead complex technical projects Work with stakeholders throughout MongoDB to build our roadmap and product offerings Work with customers and support engineers to fix issues and become part of our on-call rotation Collaborate with team members to develop our codebase, best practices, and design principles Foster an inclusive and respectful work environment according to MongoDB's Core Values We’re looking for someone who Has at least 6 years of professional software development experience Is skilled at writing large-scale, distributed backend systems in a compiled language (Go, Java, C#, etc.). Has experience with at least one major cloud provider technology (AWS, Azure, GCP) Has led the launch of a new module and maintained it in production Is eager to solve tough problems Has excellent communication skills Is curious, collaborative, and motivated Success Measures In 3 months, you'll have shipped code into production and collaborated with the team to solve tough problems In 6 months, you'll have contributed to a large project and joined our on-call rotation In 12 months, you'll have designed new features, led development work, and become a go-to expert on parts of the system About MongoDB MongoDB is built for

P-987 At Databricks, we are passionate about enabling data teams to 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. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. Modern data analysis employs sophisticated methods such as machine learning that go well beyond the roll-up and drill-down capabilities of traditional SQL query engines. As a software engineer on the Runtime team at Databricks, you will be building the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science. Below are some example projects: Apache Spark™ : Develop the de facto open source standard framework for big data. Data Plane Storage : Provide reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store. Delta Lake : A storage management system that combines the scale and cost-efficiency of data lakes, the performance and reliability of a data warehouse, and the low latency of streaming. Its higher level abstractions and guarantees, including ACID transactions and time travel, drastically simplify the complexity of real-world data engineering architecture. Delta Pipelines : It's difficult to manage even a single data engineering pipeline. The goal of the Delta Pipelines project is to make it simple and pos

P-59 At Databricks, we are passionate about enabling data teams to 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. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. Modern data analysis employs sophisticated methods such as machine learning that go well beyond the roll-up and drill-down capabilities of traditional SQL query engines. As a software engineer on the Runtime team at Databricks, you will be building the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science. Below are some example projects: Apache Spark™ : Develop the de facto open source standard framework for big data. Data Plane Storage : Provide reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store. Delta Lake : A storage management system that combines the scale and cost-efficiency of data lakes, the performance and reliability of a data warehouse, and the low latency of streaming. Its higher level abstractions and guarantees, including ACID transactions and time travel, drastically simplify the complexity of real-world data engineering architecture. Delta Pipelines : It's difficult to manage even a single data engineering pipeline. The goal of the Delta Pipelines project is to make it simple and poss

P-939 (Position Location is open to both our Seattle & Bellevue offices.) At Databricks, we are passionate about enabling data teams to 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. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The impact you'll have: As a software engineer with a backend focus, you will work with your team to build infrastructure and products for the Databricks platform at scale. Our backend teams span many domains, from OS/container systems, to serverless infrastructure, to partner integration, and to machine learning infrastructure. Below are some example projects and the Serverless platform : Build Databricks serverless platform that powers the big data, machine learning and Gen AI workloads. Automatically improve the performance and efficiency of workloads running on the platform while also ensuring they scale to millions of machines across a multi-cloud environment. Core cloud platform : Build cutting-edge OS, container and networking technologies that power the entire Databricks infrastructure, from internal infrastructure, to serverful, and to serverless platform. Improve the security, efficiency and reliability across the fleet. Partner ecosystem : Build and grow a partner ecosystem for Databricks SQL. Build and offer a variety of toolkits to support partners and customers’ deep and seamless integrations with Databricks. Maintain and nurture productive and beneficial partnerships within the ecosystem. Notebook dataplane : Build mu

P-59 At Databricks, we are passionate about enabling data teams to 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. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. Modern data analysis employs sophisticated methods such as machine learning that go well beyond the roll-up and drill-down capabilities of traditional SQL query engines. As a software engineer on the Runtime team at Databricks, you will be building the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science. Below are some example projects: Apache Spark™ : Develop the de facto open source standard framework for big data. Data Plane Storage : Provide reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store. Delta Lake : A storage management system that combines the scale and cost-efficiency of data lakes, the performance and reliability of a data warehouse, and the low latency of streaming. Its higher level abstractions and guarantees, including ACID transactions and time travel, drastically simplify the complexity of real-world data engineering architecture. Delta Pipelines : It's difficult to manage even a single data engineering pipeline. The goal of the Delta Pipelines project is to make it simple and poss

Become a part of our caring community The Senior Full Stack Engineer Performs software engineering activities in all layers of the stack, from setting up the database to programming in the back-end and the appearance at the front-end. The Senior Full Stack Engineer works on problems of diverse scope and complexity ranging from moderate to substantial. You will report to the Associate Director of Software Engineering. The Senior Full Stack Engineer is involved in all stages of software development. This includes front-end development, back-end development, database integrations, network and hosting management, user interface, user experience, and back-end server management. You are experienced with Cloud-based services and development end-to-end. You can work with autonomy while collaborating with others on architectural and process decisions. You are comfortable with giving and receiving feedback from your teammates and others in the organization. You conceptualize what you need to do from incomplete and evolving requirements. Experience communicating updates and resolutions to customers and other partners. On any given day you may: Contribute to technical architecture reviews and design as well as present vision Expertise using advanced data structures and algorithms Possess the ability to evaluate problems in both strategic and tactical terms Mentor and assist in coaching a small team of high-caliber engineers Drive positive change with technical vision and innovative solutions Strong affinity to software-driven engineering & automation Partner with the business and stakeholders to define technical direction & work cross functionally Deliver business-critical systems and compon

Senior Staff Software Engineer About Druva: Druva is the resilience foundation for the AI enterprise, helping organizations secure and recover from connected risk across data, cyber, identity, and AI. The Resilience Cloud is a fully managed, cloud-native SaaS platform that delivers air-gapped and immutable protection across cloud, SaaS, on-premises, endpoint, and edge environments. Powered by Dru MetaGraph, Druva’s graph-powered intelligence layer, the platform connects critical business context so customers can understand risk, respond faster, recover cleanly, and govern data with greater confidence. Trusted by nearly 7,500 customers, including 75 of the Fortune 500, Druva helps safeguard the critical information and systems businesses depend on in an increasingly connected world. Visit druva.com and follow us on LinkedIn , X and Facebook . About Role: This role will be with Cloud Apps Org in Hyderabad, responsible for building key SaaS and Identity workloads. This team is responsible for providing architectural components for supporting core operations of multiple SaaSApps workloads. As a Senior Staff Software Engineer in the platform team, you will be responsible for the design and implementation of software modules owned by a team. Your primary focus will be on the development of all backend server-side components and ensuring high performance and responsiveness from the front end. You will guide and mentor junior team members by reviewing their code and designs to ensure that they are writing well designed and high-quality code. This role requires excellent communication skills as you will need to collaborate across teams. Key Skills 6 – 9 years of experience, preferably in a product company. Extensive hands-on experience in Go/Python/C/C++/Java or any other Object-Oriented Language Excellent programming skills along with Data structures, Algorithms, Design Concepts Strong experience in working with SoA (Service

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Job Summary: As a NAND Reliability Product Engineer , you will be responsible for defining, assessing, and safeguarding the intrinsic and extrinsic reliability of Micron's NAND Flash products through advanced analytics, large-scale data infrastructure, AI, and engineering innovation. Your responsibilities will include developing scalable data and AI solutions that enable faster engineering decisions, improving product quality, and strengthening reliability risk assessment. Working at the intersection of semiconductor technology, reliability engineering, cloud computing, and AI/ML, you will collaborate closely with other teams like AI, IT, and Quality teams to drive data-driven reliability strategies and prevent customer escapes. This role offers deep technical ownership at the intersection of reliability methodologies, analytics platforms, and AI-enabled engineering workflows, with strong visibility across development and manufacturing organizations. Main Responsibilities: Drive development and enhancement of cloud-based data platforms that support reliability monitoring, engineering analysis, and product disposition workflows. Design, develop, and maintain scalable ETL pipelines for ingesting, validating, tran

Senior Site Reliability Engineer (SRE) / Managed Services Engineer Who We Are Horizon Trading Solutions is an independent global technology company focused on electronic trading, supporting agency and principal business goals across equities and derivatives. With over 20 years of experience, Horizon provides a powerful multi-asset trading platform with direct connectivity to more than 80 exchanges worldwide, enabling clients to deploy sophisticated trading strategies across global markets. As our Managed Services and SaaS activities continue to grow across APAC, we are looking for a Senior Site Reliability Engineer (SRE) to join our Hong Kong team and play a key role in delivering highly available, secure, and performant trading infrastructures for our clients. Role Overview The Senior SRE Engineer will be responsible for designing, deploying, operating, and continuously improving the infrastructure supporting Horizon's hosted and managed trading platforms. Working closely with Infrastructure, Development, Product, and Client Services teams, you will ensure the reliability, security, performance, and scalability of critical production environments deployed on premises, in colocation facilities, and in cloud environments. This is a hands-on engineering role suited to someone passionate about operational excellence, low-latency infrastructures, automation, and financial technology. Key Responsibilities Platform Reliability & Operations Ensure high availability and operational readiness of Horizon's managed trading platforms. Monitor, maintain, and optimize production environments through proactive health checks, performance tuning, upgrades, and preventive maintenance. Diagnose and resolve infrastructure, network, database, and application incidents to minimize service disruption and meet service level objectives. Respond proactively to infrastructure alerts and client issues, lead deep-dive root cause analyses, and drive continuous improvement initiatives to enha

We are building a new Technical Services capability in Mexico to support a platform that helps customers build, deploy, and operate AI applications using MongoDB. This is an early hire on a growing team, and you will have the opportunity to help shape how we support customers, collaborate with Engineering and Product, and build the team’s technical practices from the start. The platform brings together AI application workflows, orchestration, model and tool integrations, cloud infrastructure, data services, and observability. The support team will work across these layers to help customers troubleshoot complex issues and operate their applications successfully. We are looking to speak to candidates based in Mexico City for our hybrid working model. The role As a Senior Technical Services Engineer, you will provide technical leadership for customers operating AI applications on a new MongoDB platform. You will own complex investigations across application behavior, agent workflows, APIs, cloud infrastructure, security, and data services, and help shape how Technical Services supports the platform as it scales. This is a senior individual contributor role where you lead through technical judgment, customer ownership, written communication, and influence across teams. What you’ll do Owning complex and high-impact customer investigations involving AI applications and agentic workflows Leading structured investigations, root-cause analysis, and recovery efforts across multiple technical layers Leading investigations into agent workflows, tool calls, model-provider integrations, memory, checkpoints, streaming, retries, and timeouts Reading and debugging Go, Typescript, Python services and agent implementations; using logs, metrics, traces, and diagnostic tooling to develop evidence-based conclusions Troubleshoot Kubernetes and containerized workloads, including deployments, images, secrets, resource failures, and networking Serving as a technical subject-matter expert for

JOB TITLE Senior Data Engineer, Proprietary Research A CAREER WITH POINT72’S PROPRIETARY RESEARCH On our proprietary research team—Market Intelligence—you’ll partner with our Investment Professionals and Compliance team to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques to alternative data sets. You’ll work alongside a talented team with diverse skills, backgrounds, and perspectives. Our industry researchers, product managers, and data scientists and engineers work together to build compliant research products that answer the questions our investment professionals care about most. We look for other bright, motivated, and collaborative people to join our team and grow with us—more than 90% of the leaders in our group were promoted from within. WHAT YOU'LL DO Senior Data Engineers on the Proprietary Research team design and build Data & AI Platform to transform structured and unstructured data into actionable insights. As a member of our Data Engineering team, you will work closely with investment professionals, researchers, and data scientists to design, build, and launch robust end-to-end business solutions including data pipelines, products and tools that help extract the most value out of Point72’s data assets. In this role, you will: • Design and build big data pipelines for ingestion, transformation, trend creation, and delivery of AI-ready data assets. • Develop reusable software components, libraries, and APIs to support experimentation and production deployment. • Implement data quality, lineage, and governance controls to ensure datasets are reliable, auditable, and compliant. • Build scalable, AI-native, cloud-based infrastructure using distributed systems and modern cloud technologies. • Optimize system performance, cost, and reliability through benchmarking and continuous improvement. • Explore emerging Data and AI technologies, run proof of co

At Experient, we provide experience, technology, and transformation support to our clients, creating a dynamic work environment. We value collaboration, prioritize effective communication, and focus on delivering results quickly and practically. Whether you’re looking to deepen your expertise or take on new challenges, we’re here to support your journey every step of the way. We are seeking a Senior Snowflake Data Engineer to join our development team. This individual will be responsible for hands-on building, enhancing, and supporting multiple high-volume data pipelines used by our client to process business critical order transaction data. Location: Dallas, Texas - Hybrid What you’ll do: Responsible for hands on database work and execution of the tactical work Involved in thought leadership Define future state architecture Set tech design principles Align the team on technical direction Pipeline Development: Design, implement, and maintain ELT/ETL pipelines using Snowflake, dbt, and orchestration tools Data Modeling: Create and optimize star/snowflake schemas, ensuring data integrity and scalability SQL & Performance Tuning: Write complex SQL queries, optimize queries for performance, and troubleshoot issues Integration: Connect Snowflake with cloud platforms (AWS, Azure, GCP) and third-party tools (e.g., Alation, Power BI) What you will bring: 8-10 years of experience in data engineering with Snowflake Extensive Snowflake experience Snowflake certifications required Must have hands on experience and execute the tactical work Experienced in thought leadership, defining future state architecture, setting tech design principles, aligning the team on technical direction. Familiarity with Snowflake Cortex (their AI tooling) Extensive DBT experience Python and Apache Airflow are preferred Advanced SQL and Snowflake SQL ETL with dbt and orchestration Cloud platform proficiency Knowledge of big data technologies (Hadoop, Spark, Kafka)

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Senior Software Engineer, Security Engineering We are looking for a Senior Software Engineer that will join the Auth0 Security Engineering organization. In this role, you will join a team of Software Engineers dedicated to building and managing services that secure the platform that Auth0 runs on. You will be instrumental in expanding our platform security controls and architecting custom workflows in a scalable, reliable manner. What You Will Do Service Development: Build, maintain, and operate platform security services and controls using Python, Node.js, or Golang. Security Data Pipelines: Design, build, and optimize custom workflows to ingest, process, and distribute security data to downstream systems at scale. Scalable System Architecture: Architect maintainable, secure, and resilient microservices and platform integrations that protect our infrastructure without adding friction for engineering teams. Engineering Quality: Write clean, testable, and well-documented code while driving technical designs and participating in code reviews to maintain high engineering standards. What You Bring Software Development Experience: 5+ years of hands-on experience designing, building, and maintaining production-grade software services. Core Language Proficiency: Hands-on mastery of Python, Node.js, or Golang. System Design Expertise: Strong track record of designing scalable, maintainable, and secure software architectures. Cloud & Containers: Solid expe