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TetraScience is a cloud-native technology company that develops software and hardware solutions for monitoring and managing research experiments, as well as clo
Role Description Own the cloud infrastructure, CI/CD systems, and deployment automation for TetraScience’s multi-tenant SaaS platform serving global biopharma customers. This is a hands-on technical lead role. You will lead through technical depth and influence across teams. Strong architecture and implementation skills are important for success in this role. You will evolve our cloud architecture, build substantial parts of it in Python, CloudFormation and Terraform. You will architect and build deployment pipelines to AWS and Databricks, and drive the engineering practices that determine how fast and safely we ship software. Qualifications - 7+ years in DevOps, Cloud Engineering, or Platform Engineering roles, with at least 2 years in a senior or lead capacity - Deep, daily-driver coding experience: programmatically managing infrastructure through Python, APIs and IaC tools is second nature to you. The web console is an afterthought. - Strong production AWS experience: compute (EKS, ECS, EC2), networking (VPC, Transit Gateway, ALB/NLB, Route53), storage (S3, EBS, EFS), security (IAM, KMS, Security Hub, GuardDuty) - Designed and built CI/CD pipeline infrastructure (not just consumed existing pipelines). GitHub Actions, GitLab CI, or Jenkins at scale. - Container orchestration: ECS, Docker, Kubernetes (EKS preferred), service mesh concepts - Scripting and automation: Python or Go. Bash only is not enough - Git-based workflows, branch strategies, and pull-request-driven infrastructure changes - Experience designing and operating resilient and scalable cloud solutions - Experience operating in a regulated or compliance-sensitive environment (GxP, SOC2, HIPAA, FedRAMP, or similar) Requirements - Deep, hands-on AWS experience: Serverless Architecture, EKS/ECS, VPC/networking, IAM, KMS, CloudWatch, Lambda, S3, EC2, Kinesis, Athena, Glue, CloudTrail, CostExplorer. - Understanding of Well-Architected Framework principles and application in daily work. - Databricks experience is strongly preferred. - Embed security into the product and pipelines: container image scanning, SAST/DAST integration, secrets management, least-privilege IAM, and compliance-as-code. - Work in a GxP-regulated environment where auditability and traceability of deployments are non-negotiable. - Production monitoring, alerting, log aggregation, and incident response infrastructure. - Support for developer teams with a blameless postmortem culture. Benefits - Competitive compensation with equity - Unlimited PTO - Flexible remote-first work arrangements - Company-paid Life Insurance, LTD/STD - 401(k)
• Evaluate AI-generated web traffic and cloud infrastructure forecasts by assessing the accuracy and quality of forecasts and responses using a provided rubric
• Join an innovative team and help shape the future of Technology • Assist clients in establishing effective organizational infrastructure • Implement Business Process Management • Develop and implement Information Technology Solutions and Support Services • Engage in meaningful projects that deliver high value
• Design, implement, secure, and manage private and public cloud infrastructure • Collaborate with development leads and architects to ensure cloud-native workloads are deployed according to IT best practices • Collaborate with infrastructure leads and architects to ensure high levels of resilience in all cloud environments • Responsible for overall strategy for moving all applications to cloud-native platforms • Integrate cloud compute environments with traditional data center services • Maintain market awareness of cloud platform alternatives • Provide project leadership for requirements gathering, design, planning, coordination, and implementation • Serve as escalation point for troubleshooting problems, and rapid restoration of production services • Lead project teams and work closely with internal and external customers
Advanced scientific computing services that help accelerate the development of your next scientific breakthrough.
• Design, build, and support solutions on GCP , including services such as BigQuery, BigTable, Cloud Run, Cloud Storage, Pub/Sub, Dataflow, Agent Platform (formerly Vertex Ai), and related cloud-native services. • Develop and maintain ETL and data pipeline automation for structured and unstructured data workflows. • Build automation using Python and shell scripting to support workflow execution, data movement, platform integrations, monitoring, and operational tasks. • Support AI/ML and agent-based workloads including model integration, agent workflows, and AI-enabled automation where applicable. • Containerize applications, scripts, services, and workflow components using Docker. • Deploy containerized workloads to cloud-native platforms such as Cloud Run, or other managed GCP runtimes. • Build and maintain CI/CD pipelines for application deployment, infrastructure changes, workflow automation, and data pipeline releases. • Develop and maintain Terraform modules for repeatable GCP infrastructure deployments. • Support and integrate workflow or lab orchestration platforms such as Mendix, NAN, Nextflow, or similar tools. • Collaborate with application teams, data engineers, lab systems teams, and business stakeholders to translate workflow requirements into scalable cloud solutions. • Contribute to best practices around cloud security, logging, monitoring, reliability, automation, and cost optimization.
Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations, and outcomes for the U.S. Department of Energy and other sponsors. At PNNL, you will find an exciting research environment and excellent benefits including health insurance and flexible work schedules. PNNL is located in eastern Washington State—the dry side of Washington known for its stellar outdoor recreation and affordable cost of living.
Role Description At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget. The Physical and Computational Sciences Directorate's (PCSD’s) strengths in experimental, computational, and theoretical chemistry and materials science, together with our advanced computing, applied mathematics and data science capabilities, are central to the discovery mission we embrace at PNNL. The Advanced Computing, Mathematics, and Data Division (ACMDD) focuses on basic and applied computing research encompassing: - Artificial intelligence - Applied mathematics - Computing technologies - Data and computational engineering Responsibilities include: - Realizing the potential for science to leverage on-demand cloud scaling and resource diversity. - Controlling and managing costs related to job orchestration. - Requesting SLO constraints with respect to a job’s cost. - Scheduling task parallelism, managing data objects, selecting compute instances, and assigning storage resources. - Tracking costs and ensuring they stay within budgets. Relevant research topics include: - Developing job resource telemetry, cost introspection, modeling, and prediction. - Cross-platform job control mechanisms for alerts, checkpointing, and hard stops. - Optimized job execution policies adapted to cost profiles. The successful applicant will work within the Future Computing Technologies group and have demonstrated expertise in a topic closely related to performance modeling and scientific workloads. The researcher should be creative, self-motivated, and ready to publish at top-tier venues. Qualifications - Currently enrolled/matriculated in a PhD program at an accredited college. - Minimum GPA of 3.0 is required. - Pursuing a degree in computer science, data science, or related field (preferred). - Familiar with topics such as distributed and continuum computing, vector databases, performance modeling, storage and memory systems, etc. (preferred). Requirements - Not Applicable for Hazardous Working Conditions/Environment. - This is not a Testing Designated Position (TDP). Benefits - Health insurance - Flexible work schedules - Employee assistance program - Business travel insurance - Company funded pension plan and 401k savings plan (for regular hourly employees) Company Description Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors. PNNL is located in eastern Washington State, known for its stellar outdoor recreation and affordable cost of living.
Delivering end-to-end SAP System Integration and IT Professional Services for Emerging Technologies
• The Cloud Platform Engineer is the technical owner of the cloud landing zone estate and the workload subscriptions and accounts that sit on top of it. • The role builds, maintains, and evolves the Infrastructure as Code that provisions every shared platform service, every governance control, and every workload landing zone across the global cloud footprint. • This role sits at the foundation of the global transformation programme. • Move away from manual portal builds and route all change through the repository, the pipeline, and the policy engine. • Operate Azure as the strategic primary platform, while also covering AWS as the secondary platform where workloads remain or where workload teams have selected AWS for technical reasons. • Support workload onboarding including Kubernetes hosted machine learning and optimization platforms with Cosmos DB, Azure Files, Azure Blob Storage, and Application Gateway integration.
Role Description We are seeking an experienced Oracle Cloud Infrastructure (OCI) Engineer to architect, deploy, and operate large-scale, secure, and resilient cloud environments on Oracle’s next-generation public cloud. In this role you will own the full OCI engineering lifecycle, from landing-zone design and infrastructure-as-code, through workload migration and ongoing operations, including cost optimization and observability. The ideal candidate will combine deep technical knowledge of OCI services with strong DevOps and automation fundamentals, and will partner with database, application, and security teams to deliver well-engineered cloud platforms that support mission-critical Oracle and non-Oracle workloads. Key Responsibilities - Architect, deploy, and operate enterprise-grade OCI landing zones, compartments, and tenancy structures aligned with internal governance and compliance standards. - Design and implement OCI networking topologies, including VCNs, subnets, gateways, FastConnect, IPSec VPN, and DRG-based hub-and-spoke architectures. - Build and maintain OCI infrastructure-as-code using Terraform and OCI Resource Manager, with version control, peer review, and automated validation. - Implement IAM policies, federation with corporate identity providers, and strong RBAC patterns using OCI Identity Domains. - Design and operate OCI compute (VMs, bare-metal, OKE for Kubernetes) and storage services (Object, Block, File, Archive) optimized for workload patterns. - Operate OCI database services, including Autonomous Database, Exadata Cloud, MySQL HeatWave, and Base Database, in close partnership with DBA teams. - Build CI/CD pipelines on OCI DevOps service or external platforms (Jenkins, GitHub Actions) for both infrastructure and applications. - Implement observability using OCI Monitoring, Logging, APM, and integrations with third-party observability stacks. - Drive ongoing cost optimization through right-sizing, lifecycle management, and architectural simplification. - Design disaster-recovery and business-continuity solutions across OCI regions and availability domains. - Strengthen security posture using OCI Cloud Guard, Security Zones, Vault, and Data Safe, and lead remediation of findings. - Advise application development teams on OCI-native design patterns and best practices. - Develop automation tooling in Python, Bash, and Terraform to reduce operational toil. - Mentor junior engineers and contribute to internal cloud communities of practice. Qualifications - Bachelor’s degree in Computer Science, Engineering, or a related technical discipline. - Five or more years of cloud engineering experience, with strong hands-on time on OCI. - Production-level experience with infrastructure-as-code using Terraform. - Solid experience with OCI compute, networking, storage, identity, and database services. - Hands-on experience with Oracle Container Engine for Kubernetes (OKE). - Experience with CI/CD pipelines for cloud workloads. - Strong scripting skills in Python and Bash. - Deep understanding of cloud security, IAM, and compliance requirements. - Experience with observability tooling and incident response. - Excellent troubleshooting, communication, and documentation skills. Preferred Qualifications - Oracle Cloud Infrastructure Architect Professional certification. - Experience operating Oracle Exadata Cloud or Autonomous Database at scale. - Exposure to multi-cloud architectures spanning OCI and AWS/Azure/GCP. - Familiarity with FinOps practices on OCI. - Experience operating regulated workloads on OCI. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908) 505-3544. Learn more about Bright Vision Technologies at www.bvteck.com .
Strategic open source infrastructure for containers and virtual machines.
Role Description Mirantis is looking for a Technical Product Manager to own networking for k0rdent AI, our control plane for GPU infrastructure and distributed AI workloads. In this role, you will define the networking strategy, roadmap, and feature priorities that determine how operators deploy, segment, and scale tenant networks across GPU clusters running large-scale training and inference. GPU cloud networking sits at the intersection of high-performance computing and multi-tenant cloud, and the product must hold both worlds together. You will shape how k0rdent AI reasons about: - Collective communication libraries (NCCL, RCCL, NVSHMEM) - Lossless east-west fabrics over InfiniBand and RoCEv2 - The north-south path through BGP-driven underlays, multi-tenant overlays, and programmable dataplanes accelerated by DPUs and SmartNICs Your job is to make these layers a coherent, declarative product. The ideal candidate brings strong technical fluency in classical networking and the AI stack. You will work directly with engineering to shape requirements, with marketing to sharpen positioning, and with field teams to convert technical depth into wins in competitive GPU cloud and NeoCloud deals. Responsibilities - Own the vision, roadmap, and priorities for k0rdent AI networking, defining how customers design, automate, and operate every aspect of their network, including underlay fabric management, tenant connectivity, RDMA, DNS/IPAM, and more. - Translate requirements from NeoClouds, GPU clouds, telcos, sovereign clouds, and enterprise platform teams into clear product direction. - Partner with engineering and architecture to define requirements, evaluate trade-offs, and ship secure, scalable, reliable networking capabilities. - Manage the networking backlog, using feedback from production deployments and design partners to refine roadmap priorities and positioning. - Define positioning, packaging, and competitive differentiation for k0rdent AI networking. - Create field-facing assets, including technical briefs, battlecards, and reference architectures; support strategic accounts as the networking product lead. - Represent Mirantis at events, analyst briefings, and customer advisory boards; engage silicon, fabric, and ecosystem partners on reference architecture alignment. Qualifications - 5+ years in product management, technical product management, or a senior technical role owning a networking product, platform, or large-scale automated network. - Hands-on familiarity with BGP, VXLAN/EVPN, VRFs, OVS/OVN, SR-IOV, RDMA/RoCEv2 or InfiniBand, and DNS/IPAM at scale. - Fluency in Linux networking, Kubernetes networking, SDN/overlay networking, hyperscale or service provider networking, or network automation. - Hands-on experience with modern GPU cluster networking, including rail-optimized fabric design, GPUDirect RDMA and collective communication tuning (NCCL, RCCL, NVSHMEM), and DPU/SmartNIC offload. Benefits - Work with an established Silicon Valley leader in the cloud infrastructure industry. - Work with exceptionally passionate, talented and engaging colleagues, helping Fortune 500 and Global 2000 customers implement next-generation cloud technologies. - Be a part of cutting-edge, open-source innovation. - Thrive in the high-energy environment of a young company where openness, collaboration, risk-taking, and continuous growth are valued. - Professional development and training. - Attend conferences and working groups. - Customized workstation (macOS, Windows). - A competitive compensation package with strong benefits plan and stock options.
Abbott is a global healthcare leader, creating breakthrough science to improve people’s health. We’re always looking towards the future, anticipating changes in medical science and technology. At Abbott, you can do work that matters, grow, and learn, care for yourself and your family, be your true self, and live a full life.
Role Description This Senior Software Engineer, Cloud position can work remotely within the U.S. The Senior Software Engineer, Cloud will work with a modern tech stack on a Software as a Service (SaaS) cloud platform that strives to improve the health and well-being of users in over 49 countries. The core platform consists of systems housed in a large-scale environment responsible for processing billions of tasks every day. Senior Software Engineer, Cloud will have strong leadership ability and bring a passion for software engineering to help shape the direction of the team. We highly value versatility and a continuous learning mindset, along with the ability to empower fellow team members. You will contribute to building scalable, highly available, efficient, and secure cloud solutions for a medical device SaaS. What You'll Work On - Learn and improve our existing Go-based health care platforms. - Design and implement services and components utilizing Go for cloud-based platforms. - Develop high-volume, low-latency services for a global health care platform. - Collaborate with internal and external partners to develop and integrate with APIs that empower users to share and utilize their medical data in partner systems. - Design and implement unit testable code that is highly maintainable. - Collaborate directly with InfoSec to design and implement secure solutions. - Collaborate with both internal and external team members to shape and define API contracts. - Provide new ideas and insight in collaboration with the data services team. - Ensure performance, uptime, and scale, maintaining high standards of code quality and thoughtful design. - Contribute to significant architectural and operational decisions in collaboration with the Architecture team. - Build out internal tooling and APIs to make business and engineering processes easier, faster, and safer. - Implement systemic changes to align existing systems with current architectural goals. - Create diagrams, flowcharts, and models that illustrate the internal design and workflow of solution components. - Collaborate as an engaged member of an agile team, realizing features through development, test, and delivery. - Engage in technical planning, design, and code reviews including peer code review of Pull Request. - Stay current with emerging trends, making recommendations as needed to help the organization innovate. Qualifications - Bachelor's degree in computer science, Engineering Mathematics, or related field. - Minimum 6 years of professional software development experience in an Agile environment, including time spent in technical residency programs, or master's degree with 4+ years of related experience. - Familiarity with data design and database technologies such as SQL Server, Postgres or similar. - Software development experience with Go. Strong knowledge of idiomatic Go and best practices. Good knowledge of concurrency in Go - goroutines, channel patterns, Go ecosystem, and tools and frameworks. - Experience contributing to a scalable architecture/design of existing and new systems that are highly available and easy to maintain and monitor. - Experience designing, implementing, and maintaining highly complex asynchronous messaging and backend processing jobs. - Practical experience and understanding of working with and developing RESTful APIs and microservices. - Ability to work well with a team in a high-performance organization. - Comfortable working asynchronously with a distributed team. - Excellent written, verbal and listening communication skills. - A willingness to learn new software development languages to meet goals and objectives. - Strong Computer Science fundamentals and experience with software development. - Eagerness to contribute beyond experience level. Preferred - Practical Knowledge of Linux. - Exposure to Kubernetes/Docker or other container services. - Experience with open-source software development. - Experience working with relational datastores such as SQL Server, PostgreSQL. - Experience working with Confluence and JIRA. Benefits - Career development with an international company where you can grow the career you dream of. - Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year. - An excellent retirement savings plan with high employer contribution. - Tuition reimbursement, the Freedom 2 Save student debt program, and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree. - A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune. - A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists. Compensation The base pay for this position is $86,700.00 – $173,300.00. In specific locations, the pay range may vary from the range posted.
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Kubernetes, Python, Terraform, AWS, Cloud, Docker
