Research Intern - Azure Storage Job at Microsoft Corporation (Redmond)

Principal Software Engineer - Azure Blob Storage

The Azure Blob Storage team is focused on building the data foundation that supp...

Location

United States , Multiple Locations

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter
Bachelor's Degree in Computer Science OR related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, OR Python OR Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
3+ years of experience in designing and developing reliable, high-performance distributed systems with a strong focus on scalability and resilience
Demonstrated experience with distributed systems and large-scale storage, including solving complex systems problems and working on storage internals such as availability, remote replication, durability schemes, and high-performance I/O
Practical knowledge in one or more technical domains: database internals, indexing and search techniques, caching and data placement strategies, and metadata/namespace management at scale
Ability to influence technical direction and contribute to architecture decisions across teams, fostering collaboration and innovation

Job Responsibility

Design and deliver next-generation distributed storage systems optimized for AI/ML workloads, from training to inferencing
Provide technical leadership across architecture, development, testing, and deployment at hyperscale
Drive innovations in scalability, performance, security, and efficiency to meet the demands of zettabyte-scale storage
Collaborate with cross-functional teams — from AI researchers to cloud infrastructure engineers — to ensure storage meets the needs of cutting-edge AI workloads
Mentor and guide other engineers, fostering a culture of technical excellence, innovation, and collaboration
Continuously evaluate emerging technologies and trends to anticipate the future of AI-native storage

Fulltime

Senior Quantum Software Engineer - Telemetry (Internet-of-Things & Application)

Microsoft Quantum has assembled a talented and diverse international team to cre...

Location

Netherlands , Delft

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Master's Degree in Computer Science, Software Engineering, Mathematics, Physics, Physical Sciences, or related field AND software industry experience, including developing commercial software, scientific computing applications, or multi-component systems
OR Bachelor's Degree in Computer Science, Software Engineering, Mathematics, Physics, Physical Sciences, or related field AND proven software industry experience, including developing commercial software, scientific computing applications, or
OR equivalent experience.
Demonstarted programming and software engineering experience, including shipping and operating production-quality services or critical internal systems. Strong programming skills in Python (or equivalent), including writing maintainable, testable code
experience with async I/O and concurrency is a plus.
Demonstrated experience in a collaborative environment. Ability to collaborate effectively across disciplines
very strong written and spoken communication, and a documentation-first mindset. Proactive, self-driven execution and comfort working in an evolving, fast-paced research environment.
Hands-on experience designing or implementing telemetry/observability: structured logging, metrics, traces, distributed debugging, and operational runbooks.
Experience building IoT or edge-to-cloud systems, ideally on Azure
familiarity with services such as Azure IoT Hub/IoT Central, Azure Data Explorer, Stream Analytics, or equivalent.

Job Responsibility

Own the end-to-end telemetry design for the quantum machine, spanning IoT telemetry (lab equipment/instrumentation) and application telemetry (measurement, tuning, control, and execution workflows).
Design and implement robust data acquisition from lab instruments and facility equipment used during qubit measurement and control, with attention to reliability, security, and operational safety.
Define telemetry schemas, event taxonomies, and logging standards that enable reproducible diagnostics across experiments, environments, and hardware revisions.
Build and operate scalable pipelines for gathering, buffering, transforming, and shipping telemetry data streams to downstream storage and analytics systems.
Enable human-in-the-loop observability: dashboards, alerts, and automated reports.
Enable machine-in-the-loop observability: provide well-structured data that other software systems and/or AI agents can consume for automated monitoring and feedback loops.
Partner with experimentalists, hardware teams, and control-software developers to translate real debugging needs into well-scoped telemetry features and work items.
Use and help standardize AI-assisted tooling for log analysis, anomaly detection, and troubleshooting automation (where appropriate).
Contribute to software engineering best practices (code reviews, testing, CI/CD, documentation) in a fast-moving R&D environment.
Embody our Culture and Values.

Fulltime

Senior DevOps Engineer (Azure)

Andersen is hiring a Senior DevOps Engineer (Azure) for a project building cloud...

Location

Salary:

Not provided

Andersen

Expiration Date

Until further notice

Requirements

Experience in Azure DevOps for 2–4 years, administering CI/CD systems, including creating and maintaining YAML pipelines, building configurations, and release processes
Experience using Azure Boards for work management
Experience with Git and GitHub repositories
Experience in Infrastructure as Code using Terraform (preferred OpenTofu) for provisioning and managing cloud infrastructure
Experience in scripting and automation using PowerShell, Bash, or Python
Software engineering background with experience in C# or another programming language (e.g. Python)
Understanding of software delivery practices
Experience with containerisation and orchestration using Kubernetes (preferably AKS)
Experience using Helm for package management and deployments
Strong knowledge of Azure cloud, especially PaaS services (App Service, Functions, Service Bus, Key Vault, Storage)

Job Responsibility

Working with the DevOps Lead and the wider Engineering Team to help design and implement a highly available, scalable, secure, and resilient platform and to promote best Practices for SDLC
Debugging tooling and infrastructure issues or performance bottlenecks (3rd line support), and dispatching product-related issues to the teams
Working with the QA Leads to ensure Azure-based test environments are continuously optimized to execute a high volume of test cases in a fast and cost-efficient way
Keeping up with the latest industry research and emerging technologies as well as promoting or showcasing internally
Work within a culture of operational excellence, focusing on appropriate observability tooling (monitoring, logging, tracing, alerting, self-healing)
Designing, implementing and documenting test environments and frameworks, assisting in the design and implementation of automated tests
Participating in scrum meetings as relevant (e.g. sprint demos and retrospectives)
Ensuring compliance and alignment with wider governance policies and standards

What we offer

Mentoring and adaptation systems for new employees
Transparent performance review and assessment systems
Access to best educational platforms, seminars, and practices
Stable and competitive salary
Extensive benefits package

Technical Consultant Data Centre

Make an impact with NTT DATA. Join a company that is pushing the boundaries of w...

Location

Netherlands , Amersfoort

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Bachelor's degree or equivalent in Information Technology and/or Business Management or a related field
Advanced comprehensive technical experience in a similar role within a large scale (preferably multi- national) technology services environment
Advanced multi-technology infrastructure design experience
Advanced expertise coupled with consulting and client engagement experience, demonstrating good experience in client needs assessment and change management
Proven experience with IT infrastructures (minimum 8 years), including at least 4 years of experience in data center and edge environments
Relevant product-related and generic vendor certifications, combined with strong hands-on experience, for example: Cisco (UCS, Hyperconverged) Dell NetApp (Storage)
Data Management & Storage - Storage architectures (SAN / NAS / Object), Data lifecycle management
Data Protection & Cyber Security - Designing and safeguarding cyber resilience and recovery strategies, Defining and achieving RTO / RPO objectives, Product knowledge of Veeam, Rubrik, NetApp, Dell, Experience with technologies such as SnapCenter, SnapMirror, and SnapVault
Networking - Networking fundamentals, Data center switching (Cisco-based), Basic knowledge of VLAN, BGP / OSPF, EVPN / VXLAN fabric design, and overlay networks
Platforms & Automation - Virtualization technologies such as VMware, Hyper-V, and open-source alternatives, Microsoft Server environments, including Failover Clustering and Active Directory, Linux server environments, including High Availability clustering and integrated directory services, Automation tools such as Ansible, Terraform, and PowerShell, Hybrid cloud integration (Azure, AWS)

Job Responsibility

Conducts regular technology related reviews
Proactively supports the development of new strategies and solutions
Supports the pre-sales process
Sells solutions and services as identified
Fosters good relationship with clients, vendors and partners
Maintains, improves and shares knowledge related to the information technology industry
May be required to coach and train Associate and Senior Associate Consultants
Reviews and evaluates client requirements in order to advise on the design, deployment and operation of infrastructures
Supports the development strategies and solutions that define meta-architectural designs for complexity solutions that will address issues such as styles, concepts, mechanisms and principles that combine to formulate the architectural vision for a specific environment
Supports research and investigation of emerging infrastructure technologies and the best practices associated with them

Fulltime

Systems Analyst 3 - Data Engineer

Sammons Financial Group is seeking a Systems Analyst – Data Engineer to design, ...

Location

United States , Sioux Falls; West Des Moines; Chicago

Salary:

82654.00 - 172197.00 USD / Year

Sammons Financial Group

Expiration Date

Until further notice

Requirements

College Degree in the field of computer science, information science, management information systems Preferred
Minimum 8 years' IT development experience or equivalent Preferred
Effective verbal and written communications skills and the ability to communicate with business partners and other IT staff
Problem solving skills sufficient to perform research and recommend a proposed solution to problems
Able to work on multiple tasks and meet established deadlines
Able to effectively direct and coordinate the work of other team members on a project without having HR management responsibility for them
Knowledge of computer programming languages as required for the system
Criminal background check required

Job Responsibility

Design, develop, and implement scalable data ingestion, integration, and processing pipelines across cloud platforms (Azure, Snowflake/ and similar EDW/Lakehouse platforms , AWS)
Develop and manage data orchestration workflows using tools such as Azure Data Factory (ADF), Azure Data Lake (ADLS), dbt, and comparable technologies
Ingest and process large volumes of structured, semi-structured, and unstructured data, including compressed formats (e.g., .tar), and automate extraction, transformation, and loading processes
Design and implement modern data lakehouse architectures, including Iceberg (or similar table formats), to support scalable and high-performance analytics
Develop and maintain data models that accurately represent complex relationships within life insurance and policy administration domains
Integrate enterprise data platforms with internal and external systems (e.g., APIs, Kafka, MuleSoft) to enable real-time and batch data exchange
Collaborate with product owners, architects, analysts, and developers to translate business, functional, and non-functional requirements into scalable technical solutions
Establish and enforce data engineering standards, best practices, and governance controls across ingestion, transformation, and storage layers
Implement data quality validation, reconciliation processes, and error handling to ensure accuracy, consistency, and reliability of data pipelines
Monitor pipeline performance, reliability, scalability, and cost efficiency

What we offer

Comprehensive health coverage for you and your family, including Medical, Dental, Vision, HSA & FSA options, and term life insurance
Competitive compensation with a performance-based incentive program tied to clear goals and individual and/or company success
Invest in your future with our 100% company-funded Employee Stock Ownership Plan (ESOP), plus automatic enrollment in our 401(k)
Work–life balance that means something. Friday afternoons off year-round, generous paid time off, and paid holidays
Commit to your growth with paid development time, tuition reimbursement, and professional development opportunities across industry, individual, and leadership programs
Make an impact beyond the workplace through volunteer time off, and our company nonprofit matching gift program, supporting the causes that matter most to you
An ownership culture that inspires
join a connected, values-driven workplace where employees take accountability, support one another, and are empowered to do their best work—together shaping our future shared success

Fulltime

Software Engineer II

Microsoft is a company where passionate innovators come to collaborate, envision...

Location

India , Bangalore

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science or Engineering or Mathematics or Physics or IT technical discipline
4+ years of programming experience in C#, C++
Proficiency in troubleshooting and debugging
4+ years of commercial systems level software development experience
Experience with relational database internals and storage systems
Experience with large scale distributed systems, multithreading and object-oriented programming
Self-driven, results oriented, high integrity, ability to work collaboratively, solve problems with groups, find win/win solutions and celebrate successes

Job Responsibility

Design, implement and maintain services and components that provide secure and resilient platform for SQL control plane and data plane services
Develop innovative technology for managing massive-scale operations for large customers tolerating underlying system failures, software and hardware upgrades and reconfiguration, while enabling optimal placement and utilization of Azure clusters and regions
Design and implement solutions for cluster expansions at a global scale, analyze telemetry and the behavior of large distributed systems to mine actionable insights
Ensure the highest standards of quality and reliability across all services and solutions
Contribute to design of service software stack, datacenter design and network topology
Release features on time, with high quality, meeting functional, performance, scalability, and compliance requirements
Research and adopt modern technology to improve quality of the service, increase customer value or reduce operating cost & Participate in on-call rotation for the team

Fulltime

Staff Software Engineer - AI/ML Infra

GEICO AI platform and Infrastructure team is seeking an exceptional Senior ML Pl...

Location

United States , Chevy Chase; New York City; Palo Alto

Salary:

115000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, or related technical field (or equivalent experience)
8+ years of software engineering experience with focus on infrastructure, platform engineering, or MLOps
3+ years of hands-on experience with machine learning infrastructure and deployment at scale
2+ years of experience working with Large Language Models and transformer architectures
Proficient in Python
strong skills in Go, Rust, or Java preferred
Proven experience working with open source LLMs (Llama 2/3, Qwen, Mistral, Gemma, Code Llama, etc.)
Proficient in Kubernetes including custom operators, helm charts, and GPU scheduling
Deep expertise in Azure services (AKS, Azure ML, Container Registry, Storage, Networking)
Experience implementing and operating feature stores (Chronon, Feast, Tecton, Azure ML Feature Store, or custom solutions)

Job Responsibility

Design and implement scalable infrastructure for training, fine-tuning, and serving open source LLMs (Llama, Mistral, Gemma, etc.)
Architect and manage Kubernetes clusters for ML workloads, including GPU scheduling, autoscaling, and resource optimization
Design, implement, and maintain feature stores for ML model training and inference pipelines
Build and optimize LLM inference systems using frameworks like vLLM, TensorRT-LLM, and custom serving solutions
Ensure 99.9%+ uptime for ML platforms through robust monitoring, alerting, and incident response procedures
Design and implement ML platforms using DataRobot, Azure Machine Learning, Azure Kubernetes Service (AKS), and Azure Container Instances
Develop and maintain infrastructure using Terraform, ARM templates, and Azure DevOps
Implement cost-effective solutions for GPU compute, storage, and networking across Azure regions
Ensure ML platforms meet enterprise security standards and regulatory compliance requirements
Evaluate and potentially implement hybrid cloud solutions with AWS/GCP as backup or specialized use cases

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Staff Software Engineer - AI/ML Platform

GEICO AI platform and Infrastructure team is seeking an exceptional Senior ML Pl...

Location

United States , Chevy Chase; New York City; Palo Alto

Salary:

115000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, or related technical field (or equivalent experience)
8+ years of software engineering experience with focus on infrastructure, platform engineering, or MLOps
3+ years of hands-on experience with machine learning infrastructure and deployment at scale
2+ years of experience working with Large Language Models and transformer architectures
Proficient in Python
strong skills in Go, Rust, or Java preferred
Proven experience working with open source LLMs (Llama 2/3, Qwen, Mistral, Gemma, Code Llama, etc.)
Proficient in Kubernetes including custom operators, helm charts, and GPU scheduling
Deep expertise in Azure services (AKS, Azure ML, Container Registry, Storage, Networking)
Experience implementing and operating feature stores (Chronon, Feast, Tecton, Azure ML Feature Store, or custom solutions)

Job Responsibility

Design and implement scalable infrastructure for training, fine-tuning, and serving open source LLMs (Llama, Mistral, Gemma, etc.)
Architect and manage Kubernetes clusters for ML workloads, including GPU scheduling, autoscaling, and resource optimization
Design, implement, and maintain feature stores for ML model training and inference pipelines
Build and optimize LLM inference systems using frameworks like vLLM, TensorRT-LLM, and custom serving solutions
Ensure 99.9%+ uptime for ML platforms through robust monitoring, alerting, and incident response procedures
Design and implement ML platforms using DataRobot, Azure Machine Learning, Azure Kubernetes Service (AKS), and Azure Container Instances
Develop and maintain infrastructure using Terraform, ARM templates, and Azure DevOps
Implement cost-effective solutions for GPU compute, storage, and networking across Azure regions
Ensure ML platforms meet enterprise security standards and regulatory compliance requirements
Evaluate and potentially implement hybrid cloud solutions with AWS/GCP as backup or specialized use cases

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

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Research Intern - Azure Storage

Job Description

Job Responsibility

Requirements

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