Senior Cloud Scale Test Engineer Job at Hewlett Packard Enterprise (San Jose)

Senior Cloud Scale Test Engineer

The Senior Cloud Scale Test Engineer role is responsible for leading the design ...

Location

United States , San Jose

Salary:

133500.00 - 307000.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's or master's degree in computer science, engineering, information systems, or closely related quantitative discipline
Typically, 7-10 years’ experience
Strong programming skills in Python, Java, Golang, or JavaScript
Understanding microservice architecture and how they can be built in a containerized, Kubernetes-managed environment is central to all modern cloud-native applications
Designing and integrating software systems running on multiple platform types into the overall architecture
Evaluating forms and processes for software systems testing and methodology, including writing and executing test plans, debugging, and testing scripts and tools
Excellent written and verbal communication skills
Ability to effectively communicate product architectures and design proposals at senior management levels.

Job Responsibility

Leads the project team for design and development of complex products and platforms, including solution design, analysis, coding, testing, and integration for building efficient, scalable and robust cloud subsystems
Reviews and evaluates designs, test plans, and develops code for compliance with cloud design and development guidelines and standards
Provides tangible feedback to improve product quality and mitigate risks
Represents the engineering team in various technical forums and provides guidance and mentoring to less-experienced team members
Drives innovation and integration of new technologies into projects and activities in the software systems design organization
Analyzes science, engineering, business, and other data processing problems to develop and implement solutions to complex application problems, system administration issues, or network concerns.

What we offer

Comprehensive suite of benefits that supports physical, financial, and emotional wellbeing
Specific programs to help reach career goals
Inclusive work environment supporting individual uniqueness
Flexibility to manage work and personal needs.

Fulltime

Senior Virtual Cloud Test Engineer

The Virtual Cloud Engineer will own the end-to-end test engineering for virtual ...

Location

United States , Belmont

Salary:

160000.00 - 175000.00 USD / Year

Volkswagen AG

Expiration Date

Until further notice

Requirements

Excellent strategic thinking and communication skills
Analytical and conceptual thinking
Experience in developing strategies for R&D
Communication skills - interpersonal, presentation and written
Integration - joining people, processes or systems
Influencing and negotiation skills
Strategic/visionary minded
Resource management
Interest in designing systems
Knowledge of communication between HW & SW architecture and hardware development processes

Job Responsibility

Define the VECU generation strategy for AUTOSAR Classic (RTE + BSW abstraction, virtual MCAL stubs) and Adaptive (POSIX targets, ara::com SOME/IP bindings), including OS abstraction, timers, timewarp, and determinism controls
Select and integrate VECU platforms (e.g., dSPACE VEOS/SystemDesk, Vector vVIRTUALtarget/CANoe4SW Server, ETAS COSYM/ASCET, AVL VIRTUAL TESTBED, Wind River Simics, Imperas/OVPsim, QEMU/Renodebased flows) and manage tool qualification where applicable
Establish co-simulation topologies: MIL/Plant models (Simulink/Modelica/FMU/FMI), bus/network simulators, and virtualization of sensors/actuators with IO semantics and timing fidelity
Architect headless SIL farms (Docker/K8s runners, ephemeral test environments) executing parallel suites (thousands of SIL testcases per commit/nightly)
Integrate CI/CD (Jenkins/GitLab/Azure DevOps), artifact management (SBOM: SPDX/CycloneDX), test results (JUnit/Allure), and flaky test quarantine + triage dashboards
Implement golden capture/compare pipelines (PCAP/MDF4/CSV) and scenario versioning (OpenSCENARIO/OpenDRIVE/ASAM OSI if AD/ADAS is in scope)
Ownership of Virtual Test topics in NAR markets
Own the relationship with network operator, contract manufacturer, platform provider and lead strategic discussions and technical negotiations
Serve as technical authority for VECU testing
mentor engineers in XiL best practices, determinism, and modeling tradeoffs

What we offer

Eligibility for annual performance bonus
Healthcare benefits
401(k), with company match
Defined contribution retirement program
Tuition reimbursement
Company lease car program
Paid time off

Fulltime

Senior Cloud Engineer - Crypto

As a Senior Cloud Engineer on Sokin’s Crypto team, you will architect, deploy, a...

Location

Serbia , Belgrade

Salary:

Not provided

Sokin

Expiration Date

Until further notice

Requirements

5+ years of professional cloud engineering experience, with at least 2 years in a fintech, payments, or other regulated industry
Proven track record of designing and managing production AWS infrastructure at scale
Hands-on experience with Terraform (or equivalent IaC) and CI/CD pipelines (GitHub Actions preferred)
Experience with containerisation and orchestration (Docker, Kubernetes, ECS/EKS)
Demonstrable experience building or operating blockchain node infrastructure and crypto-related cloud services
Proficiency in AWS with relevant certifications (AWS Solutions Architect Professional or equivalent strongly preferred)
Expertise in scripting and automation (Python, Bash)
Strong understanding of networking (VPC, subnets, VPN, load balancers, service mesh)
Knowledge of blockchain infrastructure — running nodes, RPC providers, on-chain data indexing, and wallet/key management systems
Understanding of stablecoin mechanics — minting/burning, settlement flows, liquidity management, and the major stablecoin protocols and issuers

Job Responsibility

Architect and deploy secure, scalable, and cost-optimised AWS infrastructure to support Sokin’s payments platform, stablecoin settlement services, and real-time transaction processing
Design high-availability, multi-region architectures that meet the latency and throughput demands of cross-border payment flows
Own the end-to-end infrastructure lifecycle — from capacity planning and provisioning through monitoring, optimisation, and decommissioning
Build and maintain blockchain node infrastructure (RPC endpoints, indexers, event listeners) required for on-chain settlement and stablecoin operations
Design and operate secure key management and custody infrastructure for blockchain wallets and transaction signing
Implement infrastructure for fiat on-ramp/off-ramp services, ensuring reliable connectivity between traditional payment rails and blockchain networks
Monitor blockchain node health, chain synchronisation, and mempool conditions to ensure transaction reliability
Develop and maintain IaC using Terraform to automate all infrastructure provisioning, configuration, and lifecycle management
Integrate cloud infrastructure with CI/CD pipelines using GitHub Actions, enabling seamless and repeatable deployments
Implement GitOps workflows and automated testing for infrastructure changes, including policy-as-code compliance checks

Fulltime

Senior Test Engineer- AI Testing

Location

Morocco , Rabat

Salary:

Not provided

Cyclad Sp. z o.o.

Expiration Date

Until further notice

Requirements

Experience: 6 - 8 years
Strong experience in software testing (manual + automation) with focus on AI systems
Hands-on expertise in Python for test automation, data validation, and AI testing scripts
Knowledge of Gen AI frameworks (Langchain, Langgraph, CrewAI)
Familiarity with CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI)
Strong understanding of data validation, model evaluation metrics, and drift detection
API testing experience (REST, GraphQL) with tools like Postman or REST Assured
Solid knowledge of cloud platforms (AWS, Azure, GCP) for AI deployments
Exposure to AI ethics and compliance testing
Knowledge of containerization & orchestration (Docker, Kubernetes)

Job Responsibility

Design and execute test strategies for machine learning models (classification, regression, NLP, CV, etc.)
Validate model accuracy, fairness, bias detection, explainability, and robustness under varying datasets
Perform adversarial testing and edge-case validation for AI systems
Test autonomous agents, multi-step reasoning paths, and state transitions
Validate correctness, grounding, consistency, and safety of LLM outputs
Evaluate prompt robustness and behavioral variations across scenarios
Validate retrieval accuracy, grounding quality, and hallucination reduction
Test vector store behavior, document chunking logic, and retriever configurations
Validate fallback behaviors when tools or external services fail
Execute adversarial, prompt-injection, and red team style testing

Senior Cloud Engineer - Crypto

As a Senior Cloud Engineer on Sokin’s Crypto team, you will architect, deploy, a...

Location

Serbia , Belgrade

Salary:

Not provided

Sokin

Expiration Date

Until further notice

Requirements

5+ years of professional cloud engineering experience
At least 2 years in a fintech, payments, or other regulated industry
Proven track record of designing and managing production AWS infrastructure at scale
Hands-on experience with Terraform (or equivalent IaC) and CI/CD pipelines (GitHub Actions preferred)
Experience with containerisation and orchestration (Docker, Kubernetes, ECS/EKS)
Demonstrable experience building or operating blockchain node infrastructure and crypto-related cloud services
Proficiency in AWS with relevant certifications (AWS Solutions Architect Professional or equivalent strongly preferred)
Expertise in scripting and automation (Python, Bash)
Strong understanding of networking (VPC, subnets, VPN, load balancers, service mesh)
Knowledge of blockchain infrastructure — running nodes, RPC providers, on-chain data indexing, and wallet/key management systems

Job Responsibility

Architect and deploy secure, scalable, and cost-optimised AWS infrastructure to support Sokin’s payments platform, stablecoin settlement services, and real-time transaction processing
Design high-availability, multi-region architectures that meet the latency and throughput demands of cross-border payment flows
Own the end-to-end infrastructure lifecycle — from capacity planning and provisioning through monitoring, optimisation, and decommissioning
Build and maintain blockchain node infrastructure (RPC endpoints, indexers, event listeners) required for on-chain settlement and stablecoin operations
Design and operate secure key management and custody infrastructure for blockchain wallets and transaction signing
Implement infrastructure for fiat on-ramp/off-ramp services, ensuring reliable connectivity between traditional payment rails and blockchain networks
Monitor blockchain node health, chain synchronisation, and mempool conditions to ensure transaction reliability
Develop and maintain IaC using Terraform to automate all infrastructure provisioning, configuration, and lifecycle management
Integrate cloud infrastructure with CI/CD pipelines using GitHub Actions, enabling seamless and repeatable deployments
Implement GitOps workflows and automated testing for infrastructure changes, including policy-as-code compliance checks

What we offer

Inclusive work environment
Agile, flexible working culture

New

Senior Software Engineer, Cloud Development

The AI Platform team is responsible for building the foundational infrastructure...

Location

Canada

Salary:

Not provided

Mozilla

Expiration Date

Until further notice

Requirements

Bachelor's degree with 4–6 years of relevant industry experience, or Master's degree with significant hands-on experience building and operating production systems, or work experience equivalent
Strong, modern Python skills, with experience writing clean, maintainable code and working with a fast toolchain (dependency management, linting, formatting, type checks, pre-commit), building both libraries and CLIs that output structured data
Advance experience with database deployment and management, bonus points for familiarity with Postgres
Proven experience deploying and operating workloads in cloud environments, including production-grade infrastructure on GCP and GKE (artifact registries, managed caches, networking and internal load balancing, VPC, DNS, and separation of nonprod and prod)
Hands-on experience with Kubernetes and Helm, writing charts that deploy across environments with per-environment configuration and progressive feature rollout
Experience with Terraform for provisioning infrastructure across environments, including schema validation and PR-level plan review
Experience designing and running scalable APIs that hold up under load, including health and readiness checks, auth, and clean startup and shutdown
Experience with Grafana or similar tools for metrics, dashboards, and reading application and infrastructure health together during rollouts
Strong problem-solving skills and the ability to debug performance and reliability issues in distributed systems
Clear and effective communication skills, with experience collaborating across engineering, product, and infrastructure teams

Job Responsibility

Design, build, and operate core platform services and APIs used to deploy and serve production workloads at scale
Own service reliability end-to-end, driving improvements in availability, scalability, performance, and operational excellence
Lead efforts to optimize backend services for throughput, latency, and cost efficiency across distributed infrastructure
Design and manage Kubernetes-based workloads, including GitOps deployment pipelines, environment configuration, and resource utilization optimization
Own and improve critical parts of the service lifecycle, including packaging, versioning, testing strategies, validation, and deployment automation
Implement and evolve observability practices (metrics, logging, tracing, alerting) to improve visibility and operational resilience of backend services and pipelines
Partner closely with product, infrastructure, security, and data teams to design scalable platform capabilities that enable new product features
Contribute to technical design discussions, propose architectural improvements, and mentor junior engineers through code reviews and knowledge sharing
Participate in and help improve operational processes, including incident response, on-call rotations, and post-incident reviews

What we offer

Generous performance-based bonus plans to all eligible employees
Rich medical, dental, and vision coverage
Generous retirement contributions with 100% immediate vesting
Quarterly all-company wellness days
Country specific holidays plus a day off for your birthday
One-time home office stipend
Annual professional development budget
Quarterly well-being stipend
Considerable paid parental leave
Employee referral bonus program

Fulltime

New

Senior Cloud AI Engineer

At Teradata, we believe that people thrive when empowered with better informatio...

Location

India , Bengaluru; Hyderabad; Pune

Salary:

Not provided

Teradata

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science or equivalent from a recognized institution
4+ years of experience in infrastructure, networking, devops or cloud technologies
Hands-on expertise with public cloud providers such as AWS, Azure, or GCP, cloud APIs and SDKs, or infrastructure components such as VPC/VNet, API gateways, storage or compute
Experience with virtualization/container orchestration technologies like Kubernetes, Istio or Docker
Advanced proficiency in automation tools like Terraform and Helm
Experience with configuration management tools like Chef or Puppet
Strong proficiency in languages like Python, Go, or Bash for services development and scripting
Familiarity with CI/CD pipelines and tools such as Jenkins, GitHub Actions or ArgoCD
Good understanding of design principles, distributed system patterns
Familiarity with security, compliance, IAM and observability

Job Responsibility

Design, develop, and maintain high quality cloud native or on-prem infrastructure with an emphasis on scalability, availability, resiliency, and performance
Design and review large-scale distributed systems supporting multi cloud deployments
Use IaC and automation tools such as Terraform to ensure infrastructure changes are reliable, repeatable, and version controlled
Develop self-service platforms and tools that improve developer productivity and streamline deployment lifecycles
Collaborate with cross-functional engineers and product partners to shape the product and enable consistent delivery of end to end features
Build and integrate robust RESTful APIs, ensuring security, data consistency, and maintainability
Work with SQL and/or NoSQL databases to implement efficient data models and service access patterns
Implement comprehensive monitoring, logging, and alerting systems
Apply and experiment with AI/ML technologies, including agentic AI and large language models (LLMs)
Use AI powered engineering tools to improve development quality, speed, and productivity

What we offer

people-first culture
flexible working model
focus on wellbeing
Diversity, Equity, and Inclusion

Fulltime

Senior Software Engineer Test

It will be practically impossible for human brains to understand how to run and ...

Location

India , Chennai

Salary:

Not provided

Ericsson

Expiration Date

Until further notice

Requirements

A good understanding of the development life cycle of the software
Proficiency in test automation framework
Proficiency in non-functional testing activities like Performance, Reliability, and its specific tools
Proficiency in python programming language
Proficiency in Docker and Kubernetes
Working knowledge in CI/CD, Source control and collaborative coding tools like Jenkins, git, gerrit etc.
Comfortable working with infrastructure-related concepts (CPU/GPU capacity, storage, networking) to design realistic test scenarios
Bachelors/Masters in Computer Science, Electrical Engineering or related disciplines from any of the reputed institutes. First Class, preferably with Distinction
Applied experience: 2+ years of experience with infrastructure, platforms, networking, and software systems
and an overall industry experience of about 4+ years

Job Responsibility

Ability to define test strategy and follow the guidelines
Design test scenarios as the requirements and develop test automation scripts using test automation guidelines
Ability to handle testing activities for a product release
Implement and run non-functional tests: performance/load, reliability, resilience/chaos testing, and capacity validation for CPU/GPU workloads
Ability to understand the "microservice architecture" and work on cloud native platforms
Collaborate with peer team members to develop solutions
Ability to pay attention to minute details and work (individually and in team) well even under pressure to meet the deadlines
Keep updated with latest industry developments
Collaborate with product development teams and partners in Ericsson Businesses to industrialize a platform for machine learning models and solutions as part of Ericsson offerings including providing code, workflows and documents
Manage communication, planning, collaboration and feedback loops with business stakeholders.

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