6 Staff Engineering Jobs

The Opportunity We're looking for a smart and creative QA engineer who can enhance the existing automation framework and build a low-maintenance and elegant automated regression test library for Nutanix Business Continuity/Disaster Recovery products. We're looking for someone who is up to the demand of enhancing Dev and QA productivity by providing tools and libraries for automating our extensive suite of complex manual tests. About the Team The DR&Backup QA team is tasked with test planning, test scenario design, and test case development to assess and improve the overall quality of our products. The role encompasses influencing product design by leveraging the broad knowledge of the product portfolio and ensuring that a quality-first mindset is instituted within our development practices. Also, automation of complex tests that mimic customer environments and workloads to ensure performance and scalability. Your Role Lead and drive quality of features. Conducting requirement and design review of new features. Design high level test approaches and implement detailed test plans. Debug and root cause complex product issues. Continuous improvement in efficiency of test cases and test strategies. Design and maintain scalable automation frameworks. End to end automation of all planned test cases. Own feature's overall health. What You Will Bring A BE or MS in Computer Science or related stream is required. Minimum of 10+ years of relevant industry experience. Proven experience in a QA leader role preferably in Storage / Backup and Disaster Recovery areas. Experience in leading technical QA teams for features in distributed systems. Experience in designing complex Test Plans and Automation Plans. Good exposure to Automation development in Python. Ability to debug complex issues and root cause failures. Experience with Core Storage, Virtualisation, File Systems, Block/Object Storage, Disaster Recovery & Backup is desired. Good understanding of Linux Systems and virtualization technologies such as VMware, Hyper-V, KVM. Excellent collaboration and communication skills with development, product management and cross functional teams.

About the Role We are seeking a highly skilled Staff Engineer to lead the architecture, development, and scaling of our Marketplace platform - including portals & core services such as Identity & Access Management (IAM), Audit, and Tenant Management services. This is a hands-on technical leadership role where you will drive engineering excellence, mentor teams, and ensure our platforms are secure, compliant, and built for scale. A Day in the Life Design and implement scalable, high-performance backend systems for all the platform capabilities Lead the development and integration of IAM, audit logging, and compliance frameworks, ensuring secure access, traceability, and regulatory adherence. Champion best practices for reliability, availability, and performance across all marketplace and core service components. Mentor engineers, conduct code/design reviews, and establish engineering standards and best practices. Work closely with product, security, compliance, and platform teams to translate business and regulatory requirements into technical solutions. Evaluate and integrate new technologies, tools, and processes to enhance platform efficiency, developer experience, and compliance posture. Take end-to-end responsibility for the full software development lifecycle, from requirements and design through deployment, monitoring, and operational health. What You Need 8+ years of experience in backend or infrastructure engineering, with a focus on distributed systems, cloud platforms, and security. Proven expertise in building and scaling marketplace platforms and developer/admin/API portals. Deep hands-on experience with IAM, audit logging, and compliance tooling. Strong programming skills in languages such as Python or Go. Experience with cloud infrastructure (AWS, Azure), containerization (Docker, Kubernetes), and service mesh architectures. Understanding of security protocols (OAuth, SAML, TLS), authentication/authorization, and regulatory compliance. Demonstrated ability to lead technical projects and mentor engineering teams & excellent problem-solving, communication, and collaboration skills. Proficiency in observability tools such as Prometheus, Grafana, OpenTelemetry. Prior experience with Marketplace & Portals Bachelor's or Masters degree in Computer Science, Engineering, or a related field

Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc. D for Cloud Machine Learning Framework Staff engineer The Qualcomm Cloud Computing team is developing hardware and software for Machine Learning solutions spanning the data center, edge, infrastructure, automotive market. We are seeking ambitious, bright, and innovative engineers with experience in machine learning framework development. Job activities span the whole product life cycle from early design to commercial deployment. The environment is fast-paced and requires cross-functional interaction daily so good communication, planning and execution skills are a must. Key Responsibilities Analyze software requirements, determine the feasibility of design within the given constraints, consult with architecture and HW engineers, and implement software solutions best suited for Qualcomm's SOCs. Analyze and identify system level issues, interface with the software development, integration, and test teams Lead high performing teams towards system design and deliverables. Proven track record of leading teams in Machine learning software engineering. Strong foundation of Mathematical modeling of problems and linear algebra, coupled with state of the art algorithms in ML/AI space. Improve and optimize key Deep Learning models on Qualcomm AI 100. Build deep learning framework extensions for Qualcomm AI 100 in upstream open-source repositories. Collaborate and interact with internal teams to analyze and optimize training and inference for deep learning. Build software tools and ecosystem around AI SW Stack. Work on Triton, ExecuTorch, Inductor, TorchDynamo to build abstraction layers for inference accelerator. Optimize workloads for both scale-up (multi-SoC) and scale-out (multi-card) systems. Optimize the entire deep learning pipeline including graph compiler integration. Apply knowledge of software engineering best practices. Desirable Skills and Aptitudes Deep Learning experience or knowledge- LLMs, Natural Language Processing, Vision, Audio, Recommendation systems. Knowledge of the structure and function of different components of Pytorch, TensorFlow software stacks. Excellent C/C++/Python programming and software design skills, including debugging, performance analysis, and test design. Ability to work independently, define requirements and scope, and lead your own development effort. Well versed with open-source development practices. Strong developer with a research mindset- strives to innovate. Avid problem solver- should be able to find solutions to key engineering and domain problems. Knowledge of tiling and scheduling a Machine learning operator is a plus. Experience in using C++ 14 (advanced features) Experience of profiling software and optimization techniques Hands on experience writing SIMD and/or multi-threaded high-performance code is a plus. Experience of ML compiler, Auto-code generation (using MLIR) is a plus. Experiences to run workloads on large scale heterogeneous clusters is a plus. Hands-on experience with CUDA, CUDNN is a plus. Qualifications : Bachelor's / Masters/ PHD degree in Engineering, Machine learning/ AI, Information Systems, Computer Science, or related field. 8+ years Software Engineering or related work experience. 8+ years experience with Programming Language such as C++, Python.

Technical Skill Active Directory Domain Services (AD DS)Active Directory Certificate Services Azure AD Microsoft CA, PKIGroup Policy ObjectsWindows Severs 2012, 2016, 2019Active Directory Federation ServicesVirtualizations Responsibilities:Implementation, management and troubleshooting of the AD Domain Forest. Creation and removal of domains. Multi-forest management within the Active Directory as well as dealing with one-way and two-way trust relationships.Experience in AD architecture and infrastructure, Azure AD Architecture and maintenance.Experience in AD Inter-Forest Migration using Quest/ADMT tools, AD connect deployments, AD Upgradation projects.Hands-on experience & Strong knowledge in AD Migrations, Transitions, Active directory Forest Implementation.Experience on Microsoft Windows Server Administration, Active Directory administration and Azure AD administration.Deployment/Administration of Azure AD Connect Tool, Configuring Synchronization Rules, Troubleshoot Synchronization Issues.Hands-on experience & Strong knowledge in Shell Scripting and automation - Power Shell. Hands-on experience & Strong knowledge ADFS. Working within the Active Directory database for maintenance, recovery, and troubleshooting.Configuring MFA, Conditional Access policies, Identity protection 3 Configuring B2B policies and B2C tenant, Configuring Hybrid Domain Join policies.Azure AD identity Management, Configure Azure AD SSO using Modern auth protocols-SAML, OAUTH. Monitoring connectivity, synchronization, replication, netlogon, time services, FSMO roles, schema, NTDS database partitions, DNS settings, SRV records, and trust relationships.Monitor and resolve security/ Vulnerability situations at all levels of the domain to ensure a stable and secure domainDesigning and implementing security policies that conform to industry best practices and align with organizational risk management objectives.Providing technical support for user problems related to Active Directory or Windows Server applications. Advanced level of Administration of Windows server with active directory, DNS, DHCP and High Availability.Implement, monitor, and maintain Active Directory DC design, Schema, OU design, AD replication topology, and DC backup/restore procedures.Review Domain controllers, AD, DNS events and security logs and take corrective actions.

Tracking and documenting progress of each response effort to ensure that it is meeting objectives Communicate regularly with stakeholders to disseminate information about the response efforts progress Developing plans for future responses to similar incidents based on lessons learned from previous responses Championing the MIM processes and identifying process improvements Duties & Responsibilities To lead and coordinate the Major Incident Management process during a major incident or an unplanned event Ensure all stakeholders are kept informed with accurate information in a timely manner To work closely with the Service Delivery Manager and other key stakeholders to ensure that an effective Major Incident Management plan is in place and regularly tested/updated To chair the Major Incident Management bridge calls, providing clear and concise updates to all attendees whilst maintaining control of the call To liaise with 3rd party vendors and Clients as required to help resolve the major incident, keeping all relevant parties updated on progress To ensure that all MI documentation is completed in a timely manner and that lessons learned are captured and fed back into the Major Incident Management process To maintain the Major Incident Management log, ensuring all details are accurately recorded and filed away for future reference To produce regular reports on Major Incident Management activity for senior management and other key stakeholders To continuously review and improve the Major Incident Management process in line with best practice and feedback from customers, staff, and other stakeholders To provide training to new members of staff on the Major Incident Management process To act as the point of contact during a major incident, providing them with updates and working with them to resolve any issues they may be experiencing To work closely with the Service Delivery Manager to ensure that SLAs are met and exceeded To undertake any other duties as reasonably requested by management Required Skills and Qualifications Bachelors degree in computer science, engineering, or related field 5-8 years of experience in IT 3-5 years of experience in incident management Exceptional problem-solving skills Strong analytical and critical thinking skills Excellent written and verbal communication skills Proven ability to work well under pressure

Bison analytics and infrastructure automation. The candidate will need to possess deep expertise to ensure project continuity and mitigate risks of delays or failures. Available for extended support hours will be essential in minimizing downtime. Looking for someone with a unique skill set in Bison analytics and cloud infrastructure automation will eliminate the need for extensive training, ensuring immediate productivity.