Cambridge Mobile Telematics (CMT) is the world’s largest telematics service provider. Its mission is to make the world’s roads and drivers safer. The company’s AI-driven platform, DriveWell® Fusion, gathers sensor data from millions of IoT devices — including smartphones, proprietary Tags, connected vehicles, dashcams, and third-party devices — and fuses them with contextual data to create a unified view of vehicle and driver behavior. Auto insurers, automakers, commercial mobility companies, and the public sector use insights from CMT’s platform to power risk assessment, safety, claims, and driver improvement programs. Headquartered in Cambridge, MA, with offices in Budapest, Chennai, Seattle, Tokyo, and Zagreb, CMT measures and protects tens of millions of drivers across the world every day.

CMT is looking for a creative, collaborative, and highly motivated Machine Learning Intern to help develop applied machine learning capabilities using real-world mobility and behavioral data. This internship is ideal for someone who enjoys solving ambiguous problems, building practical ML workflows, working with messy real-world datasets, and translating technical findings into clear recommendations.

The intern will work on a 12-week applied ML project involving data exploration, labeling strategy, feature engineering, model development, evaluation, and stakeholder-facing analysis. The ideal candidate has strong Python skills, a solid foundation in machine learning, strong initiative, and the ability to make progress in open-ended problem spaces.

Responsibilities:

• Explore real-world mobility datasets and identify useful behavioral, temporal, contextual, and aggregate patterns
• Help define practical data labeling guidelines, quality criteria, and edge-case handling rules
• Build and validate datasets for supervised machine learning experiments
• Develop baseline and improved ML models using Python and standard data science workflows
• Perform feature engineering, model evaluation, error analysis, and iteration
• Assess model performance across relevant data segments and edge cases
• Summarize findings, limitations, risks, and opportunities for technical and product stakeholders
• Produce clear documentation, analysis reports, and final recommendations

Qualifications:

• Currently pursuing a Bachelor’s, Master’s, or PhD degree in Computer Science, Data Science, Machine Learning, Statistics, Engineering, Applied Math, or a related quantitative field
• Strong Python programming skills and comfort working with real-world datasets
• Solid understanding of supervised machine learning, feature engineering, classification metrics, train/test splits, and error analysis
• Experience with common Python data science libraries such as pandas, NumPy, scikit-learn, PyTorch, TensorFlow, or similar tools
• Strong analytical and problem-solving skills, with a bias toward initiative and ownership
• Clear written and verbal communication skills, including the ability to explain technical findings to non-technical stakeholders

Compensation and Benefits:

• Fair and competitive hourly rate based on education level
• Flexible scheduling options depending on role and responsibilities

Additional Perks:

• Feel great working to improve road safety around the world!
• Join one of our many employee resource groups including Black, AAPI, LGBTQIA+, Women, Book Club and Health & Wellness
• CMT will do all that is possible to support our employees and create a positive and inclusive work environment for all!

Commitment to Diversity and Inclusion:

At CMT, we believe the best ideas come from a mix of backgrounds and perspectives. 

We are an equal-opportunity employer committed to creating a workplace and culture where everyone feels valued, respected, and empowered to bring their unique talents and perspectives. Diversity is essential to our success, and we actively seek candidates from all backgrounds to join our growing team. 

We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability state. CMT is headquartered in Cambridge, MA. To learn more, visit www.cmtelematics.com and follow us on X @cmtelematics.

We’re looking for a Principal Engineer to drive the technical direction and architecture of Platform-as-a-Service (PaaS) at DigitalOcean. Our mission is to make deploying, scaling, and managing applications as simple and seamless as possible for developers around the world—from first deploy to internet scale.

As a Principal Engineer on the PaaS team, you’ll play a key role in designing and building the next generation of cloud-native services such as App Platform, Functions, and CI/CD. You’ll architect systems that power our global infrastructure, partner closely with engineering and product teams across the company, and mentor engineers to level up the entire organization. This is a unique opportunity to shape how developers build and ship software on a platform purpose-built for simplicity and scale.

We’re looking for someone who can span technical strategy and hands-on execution—someone who thrives on solving complex distributed problems and multiplying the impact of everyone around them.

What You’ll Do:

• Architect and guide the implementation of high-scale, reliable, and secure systems that underpin our PaaS offerings.
• Drive technical direction and make foundational decisions on system design, scalability, observability, and developer experience.
• Partner with product managers and engineering leadership to define short- and long-term roadmap priorities.
• Identify platform bottlenecks, inefficiencies, and future risks—and design solutions that proactively address them.
• Collaborate across teams to ensure seamless integration between platform services, infrastructure, and developer tools.
• Mentor engineers at all levels and contribute to a culture of technical excellence, inclusivity, and impact.
• Stay ahead of emerging technologies, patterns, and best practices in the PaaS, serverless, and cloud-native ecosystem.

Key Metrics:

• Platform availability and system performance
• Developer adoption and satisfaction
• Technical debt reduction and architectural clarity
• Engineering velocity and cross-team alignment

What You’ll Add to DigitalOcean:

• 11+ years of experience designing and building distributed systems at scale.
• Expertise in one or more backend languages (e.g., Go, Python, C++, Java) and strong fundamentals in systems architecture and infrastructure.
• Proven experience leading the design of large-scale services used by 1000s (or millions) of customers.
• Passion for mentoring and elevating those around you—technical leadership is about multiplying impact.

Compensation Range:

• $227,040 - $283,800

*This is a remote role

JR: 2025-7225

#LI-Remote

#LI-SK1 

We’re looking for a Principal Engineer to drive the technical direction and architecture of Platform-as-a-Service (PaaS) at DigitalOcean. Our mission is to make deploying, scaling, and managing applications as simple and seamless as possible for developers around the world—from first deploy to internet scale.

As a Principal Engineer on the PaaS team, you’ll play a key role in designing and building the next generation of cloud-native services such as App Platform, Functions, and CI/CD. You’ll architect systems that power our global infrastructure, partner closely with engineering and product teams across the company, and mentor engineers to level up the entire organization. This is a unique opportunity to shape how developers build and ship software on a platform purpose-built for simplicity and scale.

We’re looking for someone who can span technical strategy and hands-on execution—someone who thrives on solving complex distributed problems and multiplying the impact of everyone around them.

What You’ll Do:

• Architect and guide the implementation of high-scale, reliable, and secure systems that underpin our PaaS offerings.
• Drive technical direction and make foundational decisions on system design, scalability, observability, and developer experience.
• Partner with product managers and engineering leadership to define short- and long-term roadmap priorities.
• Identify platform bottlenecks, inefficiencies, and future risks—and design solutions that proactively address them.
• Collaborate across teams to ensure seamless integration between platform services, infrastructure, and developer tools.
• Mentor engineers at all levels and contribute to a culture of technical excellence, inclusivity, and impact.
• Stay ahead of emerging technologies, patterns, and best practices in the PaaS, serverless, and cloud-native ecosystem.

Key Metrics:

• Platform availability and system performance
• Developer adoption and satisfaction
• Technical debt reduction and architectural clarity
• Engineering velocity and cross-team alignment

What You’ll Add to DigitalOcean:

• 11+ years of experience designing and building distributed systems at scale.
• Expertise in one or more backend languages (e.g., Go, Python, C++, Java) and strong fundamentals in systems architecture and infrastructure.
• Proven experience leading the design of large-scale services used by 1000s (or millions) of customers.
• Passion for mentoring and elevating those around you—technical leadership is about multiplying impact.

Compensation Range:

• $227,040 - $283,800

*This is a remote role

JR: 2025-7225

#LI-Remote

#LI-SK1 

We’re looking for a Principal Engineer to drive the technical direction and architecture of Platform-as-a-Service (PaaS) at DigitalOcean. Our mission is to make deploying, scaling, and managing applications as simple and seamless as possible for developers around the world—from first deploy to internet scale.

As a Principal Engineer on the PaaS team, you’ll play a key role in designing and building the next generation of cloud-native services such as App Platform, Functions, and CI/CD. You’ll architect systems that power our global infrastructure, partner closely with engineering and product teams across the company, and mentor engineers to level up the entire organization. This is a unique opportunity to shape how developers build and ship software on a platform purpose-built for simplicity and scale.

We’re looking for someone who can span technical strategy and hands-on execution—someone who thrives on solving complex distributed problems and multiplying the impact of everyone around them.

What You’ll Do:

• Architect and guide the implementation of high-scale, reliable, and secure systems that underpin our PaaS offerings.
• Drive technical direction and make foundational decisions on system design, scalability, observability, and developer experience.
• Partner with product managers and engineering leadership to define short- and long-term roadmap priorities.
• Identify platform bottlenecks, inefficiencies, and future risks—and design solutions that proactively address them.
• Collaborate across teams to ensure seamless integration between platform services, infrastructure, and developer tools.
• Mentor engineers at all levels and contribute to a culture of technical excellence, inclusivity, and impact.
• Stay ahead of emerging technologies, patterns, and best practices in the PaaS, serverless, and cloud-native ecosystem.

Key Metrics:

• Platform availability and system performance
• Developer adoption and satisfaction
• Technical debt reduction and architectural clarity
• Engineering velocity and cross-team alignment

What You’ll Add to DigitalOcean:

• 11+ years of experience designing and building distributed systems at scale.
• Expertise in one or more backend languages (e.g., Go, Python, C++, Java) and strong fundamentals in systems architecture and infrastructure.
• Proven experience leading the design of large-scale services used by 1000s (or millions) of customers.
• Passion for mentoring and elevating those around you—technical leadership is about multiplying impact.

Compensation Range:

• $227,040 - $283,800

*This is a remote role

JR: 2025-7225

#LI-Remote

#LI-SK1 

We’re looking for a Principal Engineer to drive the technical direction and architecture of Platform-as-a-Service (PaaS) at DigitalOcean. Our mission is to make deploying, scaling, and managing applications as simple and seamless as possible for developers around the world—from first deploy to internet scale.

As a Principal Engineer on the PaaS team, you’ll play a key role in designing and building the next generation of cloud-native services such as App Platform, Functions, and CI/CD. You’ll architect systems that power our global infrastructure, partner closely with engineering and product teams across the company, and mentor engineers to level up the entire organization. This is a unique opportunity to shape how developers build and ship software on a platform purpose-built for simplicity and scale.

We’re looking for someone who can span technical strategy and hands-on execution—someone who thrives on solving complex distributed problems and multiplying the impact of everyone around them.

What You’ll Do:

• Architect and guide the implementation of high-scale, reliable, and secure systems that underpin our PaaS offerings.
• Drive technical direction and make foundational decisions on system design, scalability, observability, and developer experience.
• Partner with product managers and engineering leadership to define short- and long-term roadmap priorities.
• Identify platform bottlenecks, inefficiencies, and future risks—and design solutions that proactively address them.
• Collaborate across teams to ensure seamless integration between platform services, infrastructure, and developer tools.
• Mentor engineers at all levels and contribute to a culture of technical excellence, inclusivity, and impact.
• Stay ahead of emerging technologies, patterns, and best practices in the PaaS, serverless, and cloud-native ecosystem.

Key Metrics:

• Platform availability and system performance
• Developer adoption and satisfaction
• Technical debt reduction and architectural clarity
• Engineering velocity and cross-team alignment

What You’ll Add to DigitalOcean:

• 11+ years of experience designing and building distributed systems at scale.
• Expertise in one or more backend languages (e.g., Go, Python, C++, Java) and strong fundamentals in systems architecture and infrastructure.
• Proven experience leading the design of large-scale services used by 1000s (or millions) of customers.
• Passion for mentoring and elevating those around you—technical leadership is about multiplying impact.

Compensation Range:

• $227,040 - $283,800

*This is a hybrid role

JR: 2025-7225

#LI-Hybrid 

We’re looking for a Principal Engineer to drive the technical direction and architecture of Platform-as-a-Service (PaaS) at DigitalOcean. Our mission is to make deploying, scaling, and managing applications as simple and seamless as possible for developers around the world—from first deploy to internet scale.

As a Principal Engineer on the PaaS team, you’ll play a key role in designing and building the next generation of cloud-native services such as App Platform, Functions, and CI/CD. You’ll architect systems that power our global infrastructure, partner closely with engineering and product teams across the company, and mentor engineers to level up the entire organization. This is a unique opportunity to shape how developers build and ship software on a platform purpose-built for simplicity and scale.

We’re looking for someone who can span technical strategy and hands-on execution—someone who thrives on solving complex distributed problems and multiplying the impact of everyone around them.

What You’ll Do:

• Architect and guide the implementation of high-scale, reliable, and secure systems that underpin our PaaS offerings.
• Drive technical direction and make foundational decisions on system design, scalability, observability, and developer experience.
• Partner with product managers and engineering leadership to define short- and long-term roadmap priorities.
• Identify platform bottlenecks, inefficiencies, and future risks—and design solutions that proactively address them.
• Collaborate across teams to ensure seamless integration between platform services, infrastructure, and developer tools.
• Mentor engineers at all levels and contribute to a culture of technical excellence, inclusivity, and impact.
• Stay ahead of emerging technologies, patterns, and best practices in the PaaS, serverless, and cloud-native ecosystem.

Key Metrics:

• Platform availability and system performance
• Developer adoption and satisfaction
• Technical debt reduction and architectural clarity
• Engineering velocity and cross-team alignment

What You’ll Add to DigitalOcean:

• 11+ years of experience designing and building distributed systems at scale.
• Expertise in one or more backend languages (e.g., Go, Python, C++, Java) and strong fundamentals in systems architecture and infrastructure.
• Proven experience leading the design of large-scale services used by 1000s (or millions) of customers.
• Passion for mentoring and elevating those around you—technical leadership is about multiplying impact.

Compensation Range:

• $227,040 - $283,800

*This is a remote role

JR: 2025-7225

#LI-Remote

#LI-SK1 

We are looking for a Staff Forward Deployed Engineer who is passionate about solving complex cloud infrastructure challenges in the fast-growing AI/ML space. This is a high-impact position designed to be the "technical tip of the spear" for our most strategic AI-Native (ANE) customers.

As an FDE, you will sit at the intersection of Product Engineering and Customer Implementation. You will be embedded directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems.

You will build the tools, migration scripts, and AI starter kits that don't just solve one customer's problem, but scale the entire DigitalOcean AI Cloud ecosystem. Your mission is to accelerate "time-to-inference" in production at scale and serve as a critical feedback loop, ensuring our product roadmap is informed by the world's most demanding AI workloads.

What You’ll do:

• Embedded Customer Engineering: Partner deeply with strategic ANEs to manage complex migrations, build production-ready PoCs, and execute hands-on application builds on our GPU infrastructure.
• Build Scalable Assets & Tooling: Operationalize field learning by building migration planners, reusable systems, benchmarking frameworks, model optimization agents, and deployment automation scripts (e.g., Terraform/Pulumi) that standardize how AI workloads are deployed and tuned across DigitalOcean.
• Develop AI "Starter Kits": Create pre-built GenAI agents, solution templates, and notebooks (e.g., LangGraph, CrewAI) tailored to popular and advanced business needs.
• Drive the Product Roadmap: Act as the frontline technical voice for CPTO, surfacing architectural gaps and edge cases to inform core product development. Transition field-built tools into native product features.
• New Tech Validation: Lead the early testing and integration of emerging AI frameworks to ensure a first-class developer experience on DigitalOcean.
• Partner & GTM Enablement: Co-develop delivery frameworks with Strategic and Technical partners to enable repeatable, high-quality deployments at scale.
• Market Leadership: Produce field-tested demo kits and deployment guides that support new product releases with practical, validated assets.

Key Metrics

• Customer Adoption: Number of high-impact production workloads landed; reduction in average "time-to-production"; and Pilot-to-Production conversion rates.
• Asset & Tooling Delivery: Number of reusable tools (agents, scripts, playbooks) delivered per quarter and their subsequent adoption rate by the crossfunctional teams and customers.
• Field Enablement & Scale: Measured by the successful handoff and execution of FDE-defined deployment patterns to technical partners and the internal adoption rate of FDE playbooks across all customer-facing technical teams.
• Product Influence: Number of roadmap features or architectural changes directly attributed to FDE feedback and validated customer hypotheses.

What You’ll Add to DigitalOcean:

• AI/ML Architecture & Domain Expertise: Significant experience in the AI/ML lifecycle, specifically hosting large language or multimodal models using inference engines like vLLM, SGLang, or Modular. You have a deep understanding of common LLM architectures and optimization techniques (e.g., continuous batching, quantization).
• Distributed Systems & Infrastructure Mastery: Act as the subject matter expert on modern GPU families (NVIDIA/AMD) and their software stacks (CUDA, ROCm, TensorRT, OpenAI Triton). Expert proficiency in Kubernetes (K8s) and the design of distributed systems, including microservices, messaging systems, databases, and Infrastructure as Code. You can seamlessly integrate AI workloads with core cloud services (Networking, VPC, Storage, Compute).
• High-Performance Inference & Hardware Optimization: Hands-on experience with distributed inference serving frameworks (e.g., llm-d, NVIDIA Dynamo, or Ray Serve). You understand GPU-level optimization and have experience with interconnect technologies like NVlink, XGMI, or RoCE to maximize hardware efficiency.
• Software Engineering Foundation: Strong production coding skills in Python or Go with the ability to build high-quality tools, automation, and internal assets.
• Data-Driven Performance Insight: Proven ability to benchmark AI infrastructure and perform GPU utilization tuning to optimize customer ROI and workload performance.
• Consultative Execution: Proven ability to establish instant technical credibility with CTOs and Lead Architects while managing high-stakes technical migrations.

Preferred

• Experience with emerging AI orchestration frameworks like LangGraph, CrewAI, or LlamaIndex.
• A background in technical consulting or "Forward Deployed" roles at high-growth AI or infrastructure companies.
• Experience building and scaling "Center of Excellence" models or partner delivery frameworks.
• Active contributor to open-source AI projects or technical communities.

Compensation Range: 

• $195,000 - $239,000

*This is a hybrid role

JR: 2026-7748

#LI-Hybrid

We are looking for a Staff Forward Deployed Engineer who is passionate about solving complex cloud infrastructure challenges in the fast-growing AI/ML space. This is a high-impact position designed to be the "technical tip of the spear" for our most strategic AI-Native (ANE) customers.

As an FDE, you will sit at the intersection of Product Engineering and Customer Implementation. You will be embedded directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems.

You will build the tools, migration scripts, and AI starter kits that don't just solve one customer's problem, but scale the entire DigitalOcean AI Cloud ecosystem. Your mission is to accelerate "time-to-inference" in production at scale and serve as a critical feedback loop, ensuring our product roadmap is informed by the world's most demanding AI workloads.

What you’ll do:

• Embedded Customer Engineering: Partner deeply with strategic ANEs to manage complex migrations, build production-ready PoCs, and execute hands-on application builds on our GPU infrastructure.
• Build Scalable Assets & Tooling: Operationalize field learning by building migration planners, reusable systems, benchmarking frameworks, model optimization agents, and deployment automation scripts (e.g., Terraform/Pulumi) that standardize how AI workloads are deployed and tuned across DigitalOcean.
• Develop AI "Starter Kits": Create pre-built GenAI agents, solution templates, and notebooks (e.g., LangGraph, CrewAI) tailored to popular and advanced business needs.
• Drive the Product Roadmap: Act as the frontline technical voice for CPTO, surfacing architectural gaps and edge cases to inform core product development. Transition field-built tools into native product features.
• New Tech Validation: Lead the early testing and integration of emerging AI frameworks to ensure a first-class developer experience on DigitalOcean.
• Partner & GTM Enablement: Co-develop delivery frameworks with Strategic and Technical partners to enable repeatable, high-quality deployments at scale.
• Market Leadership: Produce field-tested demo kits and deployment guides that support new product releases with practical, validated assets.

Key Metrics

• Customer Adoption: Number of high-impact production workloads landed; reduction in average "time-to-production"; and Pilot-to-Production conversion rates.
• Asset & Tooling Delivery: Number of reusable tools (agents, scripts, playbooks) delivered per quarter and their subsequent adoption rate by the crossfunctional teams and customers.
• Field Enablement & Scale: Measured by the successful handoff and execution of FDE-defined deployment patterns to technical partners and the internal adoption rate of FDE playbooks across all customer-facing technical teams.
• Product Influence: Number of roadmap features or architectural changes directly attributed to FDE feedback and validated customer hypotheses.

What You’ll Add to DigitalOcean:

• AI/ML Architecture & Domain Expertise: Significant experience in the AI/ML lifecycle, specifically hosting large language or multimodal models using inference engines like vLLM, SGLang, or Modular. You have a deep understanding of common LLM architectures and optimization techniques (e.g., continuous batching, quantization).
• Distributed Systems & Infrastructure Mastery: Act as the subject matter expert on modern GPU families (NVIDIA/AMD) and their software stacks (CUDA, ROCm, TensorRT, OpenAI Triton). Expert proficiency in Kubernetes (K8s) and the design of distributed systems, including microservices, messaging systems, databases, and Infrastructure as Code. You can seamlessly integrate AI workloads with core cloud services (Networking, VPC, Storage, Compute).
• High-Performance Inference & Hardware Optimization: Hands-on experience with distributed inference serving frameworks (e.g., llm-d, NVIDIA Dynamo, or Ray Serve). You understand GPU-level optimization and have experience with interconnect technologies like NVlink, XGMI, or RoCE to maximize hardware efficiency.
• Software Engineering Foundation: Strong production coding skills in Python or Go with the ability to build high-quality tools, automation, and internal assets.
• Data-Driven Performance Insight: Proven ability to benchmark AI infrastructure and perform GPU utilization tuning to optimize customer ROI and workload performance.
• Consultative Execution: Proven ability to establish instant technical credibility with CTOs and Lead Architects while managing high-stakes technical migrations.

Preferred

• Experience with emerging AI orchestration frameworks like LangGraph, CrewAI, or LlamaIndex.
• A background in technical consulting or "Forward Deployed" roles at high-growth AI or infrastructure companies.
• Experience building and scaling "Center of Excellence" models or partner delivery frameworks.
• Active contributor to open-source AI projects or technical communities.

Compensation Range: 

• $195,000 - $239,000

*This is a remote role

JR: 2026-7748

#LI-Remote

We want people who are passionate about troubleshooting complex problems with systems, networking and storage at scale.

We are looking for a seasoned system administrator to help us keep the cloud running smoothly. Reporting to the manager of Cloud Operations, the GPU Operations Engineer monitors and provides first-response to all cloud health issues that impact, or could potentially impact, customer experience - internal or external. You will interface with teams across the organization to research and troubleshoot issues from single droplets to cloud-wide disturbances. Our workweek spans five days, and that may involve working on weekends.

What You'll Be Doing: 

• Ensuring maximum uptime for our global infrastructure
• Automating processes and building tools to improve operational efficiency
• Coordinating operational work across teams to improve the platform with minimal impact

What You'll Add to DigitalOcean:

• Solid experience with Linux operating systems or Networking and day to day upkeep
• Familiarity with virtualization technologies and troubleshooting virtual machine instances
• Familiarity with containerization technologies and troubleshooting containers
• Familiarity with IPv4 Networking and troubleshooting (CCNA equivalent)
• Basic storage concepts and technologies
• Experience with monitoring systems and incident management
• Experience scripting in one or more of the following languages: Bash, Python, or Go
• Experience with GPU hardware or AI/ML, and Kubernetes
• A passion for good documentation and open communication
• Proven ability to learn!

Compensation Range: 

• $107,000 - $134,000

*This is a remote role

JR: 2026-7423

#LI-Remote

We want people who are passionate about troubleshooting complex problems with systems, networking and storage at scale.

We are looking for a seasoned system administrator to help us keep the cloud running smoothly. Reporting to the manager of Cloud Operations, the GPU Operations Engineer monitors and provides first-response to all cloud health issues that impact, or could potentially impact, customer experience - internal or external. You will interface with teams across the organization to research and troubleshoot issues from single droplets to cloud-wide disturbances. Our workweek spans five days, and that may involve working on weekends.

What You'll Be Doing: 

• Ensuring maximum uptime for our global infrastructure
• Automating processes and building tools to improve operational efficiency
• Coordinating operational work across teams to improve the platform with minimal impact

What You'll Add to DigitalOcean:

• Solid experience with Linux operating systems or Networking and day to day upkeep
• Familiarity with virtualization technologies and troubleshooting virtual machine instances
• Familiarity with containerization technologies and troubleshooting containers
• Familiarity with IPv4 Networking and troubleshooting (CCNA equivalent)
• Basic storage concepts and technologies
• Experience with monitoring systems and incident management
• Experience scripting in one or more of the following languages: Bash, Python, or Go
• Experience with GPU hardware or AI/ML, and Kubernetes
• A passion for good documentation and open communication
• Proven ability to learn!

Compensation Range: 

• $107,000 - $134,000

*This is a remote role

JR: 2026-7423

#LI-Remote

We want people who are passionate about troubleshooting complex problems with systems, networking and storage at scale.

We are looking for a seasoned system administrator to help us keep the cloud running smoothly. Reporting to the manager of Cloud Operations, the GPU Operations Engineer monitors and provides first-response to all cloud health issues that impact, or could potentially impact, customer experience - internal or external. You will interface with teams across the organization to research and troubleshoot issues from single droplets to cloud-wide disturbances. Our workweek spans five days, and that may involve working on weekends.

What You'll Be Doing: 

• Ensuring maximum uptime for our global infrastructure
• Automating processes and building tools to improve operational efficiency
• Coordinating operational work across teams to improve the platform with minimal impact

What You'll Add to DigitalOcean:

• Solid experience with Linux operating systems or Networking and day to day upkeep
• Familiarity with virtualization technologies and troubleshooting virtual machine instances
• Familiarity with containerization technologies and troubleshooting containers
• Familiarity with IPv4 Networking and troubleshooting (CCNA equivalent)
• Basic storage concepts and technologies
• Experience with monitoring systems and incident management
• Experience scripting in one or more of the following languages: Bash, Python, or Go
• Experience with GPU hardware or AI/ML, and Kubernetes
• A passion for good documentation and open communication
• Proven ability to learn!

Compensation Range: 

• $107,000 - $134,000

*This is a remote role

JR: 2026-7423

#LI-Remote

We want people who are passionate about troubleshooting complex problems with systems, networking and storage at scale.

We are looking for a seasoned system administrator to help us keep the cloud running smoothly. Reporting to the manager of Cloud Operations, the GPU Operations Engineer monitors and provides first-response to all cloud health issues that impact, or could potentially impact, customer experience - internal or external. You will interface with teams across the organization to research and troubleshoot issues from single droplets to cloud-wide disturbances. Our workweek spans five days, and that may involve working on weekends.

What You'll Be Doing: 

• Ensuring maximum uptime for our global infrastructure
• Automating processes and building tools to improve operational efficiency
• Coordinating operational work across teams to improve the platform with minimal impact

What You'll Add to DigitalOcean:

• Solid experience with Linux operating systems or Networking and day to day upkeep
• Familiarity with virtualization technologies and troubleshooting virtual machine instances
• Familiarity with containerization technologies and troubleshooting containers
• Familiarity with IPv4 Networking and troubleshooting (CCNA equivalent)
• Basic storage concepts and technologies
• Experience with monitoring systems and incident management
• Experience scripting in one or more of the following languages: Bash, Python, or Go
• Experience with GPU hardware or AI/ML, and Kubernetes
• A passion for good documentation and open communication
• Proven ability to learn!

Compensation Range: 

• $107,000 - $134,000

*This is a hybrid role

JR: 2026-7423

#LI-Hybrid

We want people who are passionate about troubleshooting complex problems with systems, networking and storage at scale.

We are looking for a seasoned system administrator to help us keep the cloud running smoothly. Reporting to the manager of Cloud Operations, the GPU Operations Engineer monitors and provides first-response to all cloud health issues that impact, or could potentially impact, customer experience - internal or external. You will interface with teams across the organization to research and troubleshoot issues from single droplets to cloud-wide disturbances. Our workweek spans five days, and that may involve working on weekends.

What You'll Be Doing: 

• Ensuring maximum uptime for our global infrastructure
• Automating processes and building tools to improve operational efficiency
• Coordinating operational work across teams to improve the platform with minimal impact

What You'll Add to DigitalOcean:

• Solid experience with Linux operating systems or Networking and day to day upkeep
• Familiarity with virtualization technologies and troubleshooting virtual machine instances
• Familiarity with containerization technologies and troubleshooting containers
• Familiarity with IPv4 Networking and troubleshooting (CCNA equivalent)
• Basic storage concepts and technologies
• Experience with monitoring systems and incident management
• Experience scripting in one or more of the following languages: Bash, Python, or Go
• Experience with GPU hardware or AI/ML, and Kubernetes
• A passion for good documentation and open communication
• Proven ability to learn!

Compensation Range: 

• $107,000 - $134,000

*This is a remote role

JR: 2026-7423

#LI-Remote

Role Summary:

The Data Sciences team at Dyne Therapeutics is seeking an exceptional Co-Op candidate to contribute to development of machine learning (ML) and AI-driven tools for our R&D programs. The primary focus will be on refining molecular sequence-based ML models for property/activity prediction. This includes working with sequence, structural, and contextual features to enhance model performance and generalizability.

In addition, the Co-Op will contribute to development of LLM-based pipelines for scientific document drafting and evaluation, including retrieval-augmented generation (RAG) workflows to support internal research and regulatory processes.

This role provides hands-on experience at the intersection of computational biology and applied AI, directly supporting team priorities in molecular optimization, pipeline expansion, and AI capability development.

This role is based in Waltham, MA without the possibility of being remote. This is a 6-month position beginning in July.  

Candidates must be enrolled in an accredited college or university.

 
Primary Responsibilities Include: 

• Support data curation, preprocessing, and feature generation for biomolecular sequence ML models.
• Assist with model training, evaluation, and benchmarking under guidance.
• Contribute to development and testing of LLM-based document drafting and verification pipelines.
• Deliver well-documented and reproducible code, analysis summaries, and a final presentation of contributions.

 Education and Skills Requirements: 

• Undergraduate or Graduate student currently pursuing a degree in bioinformatics, Computational biology, or computer science or equivalent experience. Must be in active student status during duration of Co-Op program.
• Demonstrated competency in python and/or R programming skills.
• Prior experience in data science, AI, or machine learning is preferred.
• Strong organizational skills and solid written and oral communication ability.

#LI-Onsite

About the Position
At 6sense, the Post-Sales Solutions Architect is a critical partner to our Strategic and Enterprise Customer Success Management teams, focused exclusively on supporting existing customers throughout their journey with us. This role blends deep technical acumen with strong customer engagement skills to lead architecture design, optimize platform adoption, and ensure our customers realize the full value of their investment.

You'll work directly with our largest and most complex accounts, helping them integrate and scale their use of 6sense by designing innovative solutions, advising on best practices, and serving as a trusted technical advisor post-sale. This is a high-impact, customer-facing role designed to drive retention, value delivery, and long-term growth.

Key Responsibilities

• Partner with Strategic and Enterprise CSMs to lead post-sale technical activities, including product enablement, demos, proof-of-value workshops, and advanced use case development.
• Facilitate architecture design sessions and platform integration planning, aligning customer objectives to 6sense solutions.
• Document business and technical requirements, and clearly communicate the business value of 6sense capabilities to technical and executive stakeholders.
• Serve as a technical liaison between Customer Success, Product, and Delivery teams to ensure a seamless customer experience.
• Lead solution design for multi-product implementations, systems integrations, and data architecture within existing customer environments.
• Proactively identify technical optimization opportunities to improve customer outcomes and platform ROI.
• Contribute feedback to product management and engineering teams, and help evolve internal tooling and processes for customer delivery.
• Build reports and dashboards that help customers track progress, optimize performance, and make data-driven decisions.

Requirements

• 5+ years of experience in a customer-facing technical role, such as Solutions Architect, Technical Account Manager, or Pre/Post-Sales Engineer.
• Deep technical expertise in solution architecture, data integration, and enterprise software.
• Strong interpersonal and communication skills; able to build trust and articulate complex solutions to both technical and business audiences.
• Experience with CRM systems such as Salesforce, Microsoft Dynamics, or SAP.
• Familiarity with marketing automation tools (Marketo, Eloqua, Pardot, Hubspot) and Customer Data Platforms (Adobe Experience Platform, Segment, etc.).
• Experience with ETL/ELT tools (Informatica, DataStage, Netezza) and data visualization tools (Tableau, Looker, Power BI).
• Working knowledge of cloud infrastructure (AWS, Azure, GCP), REST/SOAP APIs, and integration platforms (MuleSoft, Zapier, Dell Boomi).
• Proficiency in programming/scripting languages such as Python, Java, or C++.

Nice to Haves

• Strong problem-solving skills with a customer-first mindset.
• A track record of influencing customer outcomes through consultative engagement.
• Experience supporting SaaS adoption, expansion, or renewal in large-scale enterprise accounts.
• Ability to prioritize and execute across multiple customer projects while managing stakeholder expectations.

Base Salary Range: $139,035.00 - $180,918.00. The base salary range represents the anticipated low and high end of the base salary range for this position. Actual salaries may vary and may be above or below the range based on various factors, including but not limited to work location and experience. The base salary is one component of 6sense’s total compensation package for this position. Other compensation may include a bonus program or commission plan, and stock options if approved by 6sense’s board. In addition, 6sense provides a variety of benefits, including generous health insurance coverage, life, and disability insurance, a 401K employer matching program, paid holidays, self-care days, and paid time off (PTO). #Li-remote

Notice of Collection and Use of Personal Information for California Residents: California Recruitment Privacy Notice and Policy

About the Team

     The Billing Engineering team is responsible for managing a broad and complex range of functions comprising 70 services. As DigitalOcean continues its rapid growth and moves upmarket, the demands on the billing platform have significantly increased. This team will focus on operational enablement for the business and our customers, allowing our existing billing platform engineering teams to concentrate on platform resiliency and building customer-facing features.

The Opportunity

     We are seeking highly motivated and skilled engineers in Hyderabad. You will play a critical role in ensuring the smooth operation of our billing platform, providing technical support, managing billing operations, and driving efficiency through automation. This is an exciting opportunity to be a part of building a new team and making a significant impact on our company's growth.

What You’ll Do:

• Triage and resolve escalated billing support tickets, including invoicing discrepancies, collections issues (payments/dunning), and taxation inquiries. Serve as the first line of support for incoming bug reports.
• Take ownership of core billing platform operations, including facilitating credits, discounts, promotions, and commitment deals; working with the Tax team on taxation regions; managing SaaS Marketplace vendor ledgers; coordinating refunds and write-offs with the Revenue Accounting team; and supporting month-close compliance reporting.
• DevOps: Collaborate with the Billing Architect to contribute to operational excellence and the stability of the platform.
• Product Revenue Assurance: Augment revenue assurance tooling and synthetic testing to proactively identify and address potential revenue leaks.
• New Product Launches: Take ownership of the operational aspects of new product launches for existing products, working closely with product teams to ensure timely delivery.
• Develop and maintain automation tooling to improve the efficiency of billing operational tasks.
• Work closely with engineering, product, finance, sales, and support teams to ensure seamless billing processes and build roadmaps.
• Contribute to the documentation of billing processes and procedures.

What You’ll Add to DigitalOcean:

• Strong technical aptitude and problem-solving skills.
• Proficiency in Go, with additional experience in Ruby a plus.
• Experience with billing systems and processes (e.g., invoicing, payments, subscriptions, pricing).
• Hands-on knowledge of microservices and distributed systems, including technologies like Docker, Kubernetes, gRPC, Kafka, MySQL, and Redis.
• Experience with scripting and automation tools (e.g., Python, Shell scripting).
• Excellent communication and collaboration skills.
• Ability to work independently and manage multiple priorities in a fast-paced environment.
• A proactive and detail-oriented approach.
• [Optional: Include specific domain knowledge or tool experience if required, e.g., Experience with Zuora, NetSuite, or similar billing platforms.]
• [Optional: Bachelor's degree in Computer Science, Engineering, or a related field.]

This is a hybrid role based out of Hyderabad, India. 

#LI-Hybrid 

We are seeking an experienced Golang Software Engineer for our Mobile team to be part of the development of end-to-end fraud detection solutions. This role combines backend software development with data analysis related to our mobile sdk. You will design and implement scalable, high-performance backend systems, ensuring smooth integration with other components. You'll take ownership of features from concept to final deployment, working closely with cross-functional teams to deliver reliable and robust solutions.

A key aspect of this role involves analyzing large datasets of traffic to uncover patterns and detect fraudulent activity. You will leverage engineering techniques to process and manage large traffic datasets efficiently, find new ways to detect fraud, and implement them in backend code.

Types of Projects and Impact:

• Collaborate with the Mobile Product team to improve fraud detection signals, including Android emulator detection, Frida detection, Mobile VPN detection, and more.
• Conduct deep dives into problematic features, researching and analyzing their behavior to understand root causes and identify potential solutions. Develop hypotheses, run experiments, analyze results, and translate findings into actionable engineering improvements.
• Build and enhance backend systems for real-time data processing.
• Foster a data-driven culture by sharing engineering best practices and collaborating on cross-functional projects.
• This role includes participation in a shared on-call rotation. The schedule will be communicated in advance, and we strive to balance coverage equitably while minimizing off-hours disruptions.

Required Skills:

• BS/MS in Computer Science, Data Science, or a related field, or equivalent work experience.
• 3+ years of experience in backend development
• Strong experience in GoLang.
• Strong experience in designing, developing, and maintaining scalable backend systems.
• Experience working with real-time data processing and APIs.
• Strong knowledge of SQL and experience with databases like DynamoDB, Redis, or Elasticsearch.
• Proficiency with general software engineering tools: Git, IDEs, shell scripting, CI/CD.
• Proficient in English for clear communication in a global, remote team.

Nice to Have:

• Practical experience with analytical storage systems like ClickHouse, Snowflake, BigQuery, Redshift, or Databricks.
• Experience with data transformation frameworks like dbt or other data pipeline tools.
• Experience with the Python data analytics stack (NumPy, Pandas, Jupyter, etc.).

Technologies You Will Work With:

• Backend development: Golang (preferred) or equivalent.
• Data analytics/processing: ClickHouse, dbt, Apache Superset.
• Infrastructure: AWS, DynamoDB, Redis, Elasticsearch.

Compensation Range

For US-based employees, the cash compensation range for this role is $133,000 – $153,000. We set standard ranges for all US roles based on function, level, and geographic location, benchmarked against similar stage growth companies. To comply with local legislation and provide greater transparency, we share salary ranges on all job postings. However, these ranges are specific to the hiring location and may differ within or outside the US.

About the role

Behind our user-friendly apps and global platform is the Engineering team. We are looking for Tech Support Engineers to join our mission. In this role, you will be the bridge between our business operations and engineering, ensuring our systems run smoothly and our users have the best possible experience.

Whether you are deep-diving into complex SQL queries, investigating production incidents, or analyzing code logic to identify a bug, your work will directly impact millions of fans worldwide.

You’ll work in high-scale production environments, participating in incident management and on-call rotations, helping resolve critical issues and improving the reliability and stability of our platform.

This role also offers a unique opportunity for internal mobility; we value growth, and many of our support engineers eventually transition into full-time Software Engineering roles.

What would you do at Fever?

• Act as a technical point of contact for incident management, triage, escalation, and resolution.
• Participate in on-call rotations and support critical production incidents (Sev1/Sev2).
• Troubleshoot complex technical issues across our client-server architecture.
• Perform deep-dive investigations using logs, monitoring tools, and database analysis.
• Write and optimize complex SQL queries to resolve data-related issues.
• Investigate APIs, services, and backend flows to identify root causes.
• Collaborate with Product, Engineering, and Operations teams to improve system reliability and operational excellence.
• Document technical workarounds, incident learnings, and contribute to our internal knowledge base.
• Help improve monitoring, alerting, and troubleshooting processes.

About you - Must have skills:

Technical mindset

• Proven experience in technical support, production support, troubleshooting, or similar roles.
• Excellent analytical and problem-solving skills.
• Experience working in production environments with exposure to critical incidents and on-call rotations.

Databases

• Strong understanding of PostgreSQL, MySQL, or other relational databases.
• Ability to write complex SQL queries and work with stored procedures.

APIs & Systems

• Knowledge of APIs, services, and client-server architecture.
• Experience working with RESTful APIs and JSON.
• Solid understanding of Unix/Linux environments.

Monitoring & Operations

• Familiarity with ticketing tools such as Jira or Zendesk.
• Experience using monitoring and logging platforms such as Datadog, Splunk, Grafana, or Kibana.
• Understanding of incident management, triage, escalation, and root cause analysis processes.

Communication

• Professional proficiency in English (written and verbal).
• Experience collaborating with cross-functional and international teams.

Nice to have:

• Code Literacy: Ability to read or write code in JavaScript, Java, Python, Go, or Elixir (experience with Elixir is a significant bonus).
• Cloud & Infrastructure: Knowledge of AWS, Docker, and Kubernetes.
• Mobile: Familiarity with mobile products (Android and iOS) and design life cycles.
• Curiosity: An active GitHub account or open-source contributions.
• Academic: BSc degree in Computer Science, IT, or a relevant field.

Benefits & Perks

• Attractive compensation package consisting of a base salary. 
• Health insurance and other benefits, such as Flexible remuneration with a 100% tax exemption through Cobee.
• You can receive part of your salary in advance through Payflow.
• 40% discount on all Fever events and experiences
• WellHub Membership
• English Lessons
• Home office friendly anywhere in Spain
• Opportunity to have a real impact in a high-growth global category leader
• Relocation package for international candidates
• Responsibility from day one and professional and personal growth
• Great work environment with a young, international team of talented people to work with!

About the role

Behind our user-friendly apps and global platform is the Engineering team. We are looking for Tech Support Engineers to join our mission. In this role, you will be the bridge between our business operations and engineering, ensuring our systems run smoothly and our users have the best possible experience.

Whether you are deep-diving into complex SQL queries, investigating production incidents, or analyzing code logic to identify a bug, your work will directly impact millions of fans worldwide.

You’ll work in high-scale production environments, participating in incident management and on-call rotations, helping resolve critical issues and improving the reliability and stability of our platform.

This role also offers a unique opportunity for internal mobility; we value growth, and many of our support engineers eventually transition into full-time Software Engineering roles.

What would you do at Fever?

• Act as a technical point of contact for incident management, triage, escalation, and resolution.
• Participate in on-call rotations and support critical production incidents (Sev1/Sev2).
• Troubleshoot complex technical issues across our client-server architecture.
• Perform deep-dive investigations using logs, monitoring tools, and database analysis.
• Write and optimize complex SQL queries to resolve data-related issues.
• Investigate APIs, services, and backend flows to identify root causes.
• Collaborate with Product, Engineering, and Operations teams to improve system reliability and operational excellence.
• Document technical workarounds, incident learnings, and contribute to our internal knowledge base.
• Help improve monitoring, alerting, and troubleshooting processes.

About you - Must have skills:

Technical mindset

• Proven experience in technical support, production support, troubleshooting, or similar roles.
• Excellent analytical and problem-solving skills.
• Experience working in production environments with exposure to critical incidents and on-call rotations.

Databases

• Strong understanding of PostgreSQL, MySQL, or other relational databases.
• Ability to write complex SQL queries and work with stored procedures.

APIs & Systems

• Knowledge of APIs, services, and client-server architecture.
• Experience working with RESTful APIs and JSON.
• Solid understanding of Unix/Linux environments.

Monitoring & Operations

• Familiarity with ticketing tools such as Jira or Zendesk.
• Experience using monitoring and logging platforms such as Datadog, Splunk, Grafana, or Kibana.
• Understanding of incident management, triage, escalation, and root cause analysis processes.

Communication

• Professional proficiency in English (written and verbal).
• Experience collaborating with cross-functional and international teams.

Nice to have:

• Code Literacy: Ability to read or write code in JavaScript, Java, Python, Go, or Elixir (experience with Elixir is a significant bonus).
• Cloud & Infrastructure: Knowledge of AWS, Docker, and Kubernetes.
• Mobile: Familiarity with mobile products (Android and iOS) and design life cycles.
• Curiosity: An active GitHub account or open-source contributions.
• Academic: BSc degree in Computer Science, IT, or a relevant field.

Benefits & Perks

• Fever 40% discount: This discount is for personal use only
• Free Candlelight Event: This voucher is for single use only and is valid for 2 people
• Wellhub Membership: Wellhub gives employees unlimited access to a selected number of gyms, studios, classes, training, and wellness apps. Fever pays it up to the Silver plan
• Medical insurance: Fever offers “Seguro de Gastos Médicos Mayores” with the company GNP, free of charge, as it is covered 100% by Fever. This also includes dental and vision insurance fully paid by Fever
• Life Insurance (Mapfre): We offer this insurance fully paid by Fever
• Savings plan (SURA): The employee contributes 5% of the fixed salary, and Fever contributes another 5%
• English Lessons: Provided by Babelia, 100% paid by Fever
• Aguinaldo: 15 days of salary
• 20 days of paid vacation per year, which you can access after at least six months working with Fever
• Parental leave: Fever provides four (4) weeks of mandatory paid paternity leave, receiving 100% of the base salary, for (male) parents (both birthing and non-birthing)
• You can enjoy the afternoon off on your birthday if it falls on a working day. It’s our way of helping you celebrate!

About the role

Behind our user-friendly apps and global platform is the Engineering team. We are looking for Tech Support Engineers to join our mission. In this role, you will be the bridge between our business operations and engineering, ensuring our systems run smoothly and our users have the best possible experience.

Whether you are deep-diving into complex SQL queries, investigating production incidents, or analyzing code logic to identify a bug, your work will directly impact millions of fans worldwide.

You’ll work in high-scale production environments, participating in incident management and on-call rotations, helping resolve critical issues and improving the reliability and stability of our platform.

This role also offers a unique opportunity for internal mobility; we value growth, and many of our support engineers eventually transition into full-time Software Engineering roles.

What would you do at Fever?

• Act as a technical point of contact for incident management, triage, escalation, and resolution.
• Participate in on-call rotations and support critical production incidents (Sev1/Sev2).
• Troubleshoot complex technical issues across our client-server architecture.
• Perform deep-dive investigations using logs, monitoring tools, and database analysis.
• Write and optimize complex SQL queries to resolve data-related issues.
• Investigate APIs, services, and backend flows to identify root causes.
• Collaborate with Product, Engineering, and Operations teams to improve system reliability and operational excellence.
• Document technical workarounds, incident learnings, and contribute to our internal knowledge base.
• Help improve monitoring, alerting, and troubleshooting processes.

About you - Must have skills:

Technical mindset

• Proven experience in technical support, production support, troubleshooting, or similar roles.
• Excellent analytical and problem-solving skills.
• Experience working in production environments with exposure to critical incidents and on-call rotations.

Databases

• Strong understanding of PostgreSQL, MySQL, or other relational databases.
• Ability to write complex SQL queries and work with stored procedures.

APIs & Systems

• Knowledge of APIs, services, and client-server architecture.
• Experience working with RESTful APIs and JSON.
• Solid understanding of Unix/Linux environments.

Monitoring & Operations

• Familiarity with ticketing tools such as Jira or Zendesk.
• Experience using monitoring and logging platforms such as Datadog, Splunk, Grafana, or Kibana.
• Understanding of incident management, triage, escalation, and root cause analysis processes.

Communication

• Professional proficiency in English (written and verbal).
• Experience collaborating with cross-functional and international teams.

Nice to have:

• Code Literacy: Ability to read or write code in JavaScript, Java, Python, Go, or Elixir (experience with Elixir is a significant bonus).
• Cloud & Infrastructure: Knowledge of AWS, Docker, and Kubernetes.
• Mobile: Familiarity with mobile products (Android and iOS) and design life cycles.
• Curiosity: An active GitHub account or open-source contributions.
• Academic: BSc degree in Computer Science, IT, or a relevant field.

Benefits & Perks

• Fever 40% discount: This discount is for personal use only
• Free Candlelight Event: This voucher is for single use only and is valid for 2 people
• Wellhub Membership: Wellhub gives employees unlimited access to a selected number of gyms, studios, classes, training, and wellness apps. Fever pays it up to the Silver plan
• Medical insurance: Fever offers “Seguro de Gastos Médicos Mayores” with the company GNP, free of charge, as it is covered 100% by Fever. This also includes dental and vision insurance fully paid by Fever
• Life Insurance (Mapfre): We offer this insurance fully paid by Fever
• Savings plan (SURA): The employee contributes 5% of the fixed salary, and Fever contributes another 5%
• English Lessons: Provided by Babelia, 100% paid by Fever
• Aguinaldo: 15 days of salary
• 20 days of paid vacation per year, which you can access after at least six months working with Fever
• Parental leave: Fever provides four (4) weeks of mandatory paid paternity leave, receiving 100% of the base salary, for (male) parents (both birthing and non-birthing)
• You can enjoy the afternoon off on your birthday if it falls on a working day. It’s our way of helping you celebrate!

About Us

The Financial Times is one of the world’s leading news organisations, globally recognised for its authority, integrity and accuracy, with a mission to deliver quality information and services worldwide. At the FT, curiosity thrives and ambitious thinking is rewarded. Here, you’re given the chance to reach millions, create work that matters and deliver impartial journalism in a polarised world. In our warm, collaborative culture, you’ll connect with a diverse community of experts who support your growth, career aspirations and wellbeing Your future at the FT will be filled with opportunities that challenge and inspire you. With no fixed path, you’ll discover new skills and forge a career that can take you anywhere. Build a newsworthy career at the FT.

Our Commitment to Diversity, Equity and Inclusion

We believe in the power of unique perspectives and want all voices in our organisation to be heard, respected and valued. A supportive workplace is one where employees feel they can be themselves and operate to their full potential. We are committed to removing barriers for everyone, with a focus on addressing those faced by underrepresented groups.

The Role Overview

We’re looking for a Senior Cyber Security Engineer to help mature application and cloud security across the FT’s cloud-native, AWS-hosted technology estate. This role has an approximate 50/50 focus across application security and cloud security, working closely with product, platform and engineering teams to make secure delivery easier by default.

You’ll shape and improve developer-friendly guardrails across GitHub-based CI/CD pipelines, AWS environments and infrastructure-as-code workflows. This includes improving SAST, software composition analysis, secret scanning, IaC scanning, vulnerability management and AWS misconfiguration management so that findings are actionable, low-noise and owned by the right teams.

Day to day, you’ll run practical threat-modelling sessions, review application and cloud designs, improve security playbooks, support vulnerability and misconfiguration remediation, and build automation that reduces toil. We’re looking for someone who has demonstrably improved security outcomes in real engineering environments, not just someone with theoretical knowledge of tools or frameworks.

Depending on team structure, you may also mentor or line-manage one or two security engineers, while remaining hands-on and close to the technical work.

What you’ll bring to the role

Application and cloud security experience: practical experience across both application security and cloud security, ideally in AWS-hosted, cloud-native environments.

Developer-friendly security mindset: you know how to work with engineers, explain risk clearly and design controls that help teams move securely without unnecessary friction.

Vulnerability management at scale: experience improving how application vulnerabilities, dependency risks, bug bounty findings, penetration test findings and advisories are identified, prioritised, owned and remediated across engineering teams.

Cloud misconfiguration & vulnerability management: experience identifying and reducing infrastructure-as-code and AWS vulnerabilities & misconfigurations at scale through pragmatic guardrails, tooling and clear remediation paths.

Threat modelling: confidence running lightweight, practical threat-modelling sessions that lead to useful engineering decisions and risk reduction.

CI/CD and code security: hands-on experience with security tooling such as SAST, software composition analysis, secret scanning and IaC scanning.

Automation mindset: ability to write scripts or small tools, ideally in Python, to reduce toil, improve visibility and surface meaningful risk.

Security leadership: ability to mentor other security engineers and influence engineers across the wider organisation. Depending on team structure, this may include line management.

AI security awareness: experience of leveraging AI to improve and scale appsec and cloud sec controls would be useful, but is not essential.

Key Responsibilities

Improve application security guardrails
Tune and evolve SAST, software composition analysis, secret scanning and related controls so they are actionable, low-noise and useful to engineering teams.

Improve cloud and IaC security guardrails
Help identify, prioritise and reduce AWS and infrastructure-as-code misconfigurations and vulnerabilities at scale.

Drive vulnerability management
Improve how application vulnerabilities, dependency risks, bug bounty findings, penetration test findings and third-party advisories are triaged, prioritised and remediated.

Drive cloud misconfiguration management
Help teams understand, own and remediate cloud security issues using pragmatic, developer-friendly workflows.

Run practical threat modelling
Facilitate lightweight threat-modelling sessions for new products, features, services and architectural changes.

Build automation and tooling
Create or improve scripts, integrations, dashboards and workflows that reduce manual effort and make risk easier to understand.

Support secure architecture decisions
Provide application and cloud security input into design reviews, AWS architecture decisions and larger technical changes.

Partner with engineering teams
Work closely with product, platform and software engineering teams to embed security into design, delivery and operational practices.

Support incidents and lessons learned
Provide application and cloud security expertise during incidents and feed lessons learned back into patterns, tooling and guidance.

Mentor others
Coach security engineers and engineering teams on practical security approaches. Depending on team structure, this may include line management of one or two security engineers.

Required Experience, Essential: 

• Strong practical experience in application security and cloud security, ideally with a balanced focus across both.
• Hands-on AWS security experience, including common misconfiguration patterns and practical remediation approaches.
• Experience improving vulnerability management across engineering teams, including prioritisation, ownership, remediation tracking and noise reduction.
• Experience in improving cloud or IaC misconfiguration management at scale in a developer-friendly way.
• Experience integrating, tuning or improving security tooling in CI/CD workflows, such as SAST, software composition analysis, secret scanning or IaC scanning.
• Experience running practical threat-modelling sessions that influence design, delivery or remediation decisions.
• Ability to write scripts or small tools, ideally in Python, to automate security workflows or improve visibility.
• Strong communication and collaboration skills, with the ability to influence engineers and technical leaders without relying on gatekeeping.
• Evidence of improving application security, cloud security or vulnerability management practices in a real engineering environment.
• Familiarity with Agile or Scrum ways of working.

Desirable

• Experience with leveraging AI for AppSec and CloudSec.
• AWS Certified Security – Speciality or equivalent practical AWS security experience.
• Terraform or CloudFormation expertise.
• Incident-management or incident-response experience.
• Experience with Splunk or similar logging/SIEM platforms.
• Experience with security metrics, dashboards or reporting that helped drive measurable risk reduction.
• Experience mentoring or line-managing security engineers.

What’s in it for You?

Our benefits vary by location but we are committed to providing best-in-class perks across all our offices. These include generous annual leave, medical cover, inclusive parental leave packages, subsidised gym memberships and opportunities to give back to the community. Full details of our benefits are available here.

We’ve embraced a 50% hybrid working model (averaging two to three days onsite) that fosters trust and remote adaptability while encouraging in-person camaraderie and peer learning. Additionally, we are open to accommodating specific flexible working pattern requests for all roles where feasible.

Accessibility

We are a disability confident employer and Valuable 500 signatory.

Please let us know if you require any reasonable adjustments/personalisation as part of the application process or to enable you to attend an interview. If you would like to discuss your requirements or have any questions, email talent@ft.com and a member of our team will be happy to help.

Further information

At the FT, we embrace innovation and the use of technology and appreciate that individuals may leverage AI tools as part of their job application process. Whilst we are happy for you to use AI to assist with your application, it is essential that all information provided is authentic and accurately represents your skills, experience, and qualifications.

Candidates should be aware that the use of AI throughout the application process may be monitored to ensure a fair and transparent hiring process for all.

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

Now, more than ever, the Toast team is committed to our customers. We’re taking steps to help restaurants navigate these unprecedented times with technology, resources, and community. Our focus is on building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love. And because our technology is purpose-built for restaurants, by restaurant people, restaurants can trust that we’ll deliver on their needs for today while investing in experiences that will power their restaurant of the future. 

Bready* to make a change?

Toast is looking for a Staff Machine Learning Engineer to serve as a technical linchpin for our AI Platform team. At the P4 level, you aren't just deploying models; you are designing the fundamental infrastructure that enables dozens of teams to build, deploy, and monitor AI at scale. You will act as a force multiplier, mentoring senior engineers and setting the architectural standards for our MLOps lifecycle—from feature stores and automated retraining to high-performance inference at the edge.

About this Roll*:

• Architectural Leadership: Design and lead the evolution of a unified MLOps platform that supports diverse needs across Toast, ensuring high availability, scalability, and security of ML services.
• Engineering Excellence: Champion and institutionalize best practices for CI/CD for ML (MLOps), automated testing, and infrastructure-as-code (Terraform).
• Cross-Functional Synergy: Lead collaborative efforts across Data Engineering, DevOps, and Product teams to bridge the gap between model prototyping and production-grade reliability.
• Strategic Roadmapping: Partner with leadership and Product Managers to define the 1-2 year technical vision for AI infrastructure, prioritizing long-term stability over short-term fixes.
• Operational Ownership: Set the standard for observability and incident response for ML systems, driving root-cause analysis for complex system failures.
• Mentorship: Actively mentor P2 and P3 engineers, fostering a culture of technical rigor and continuous learning.

Do you have the right ingredients*?

• Education: Bachelor’s or Master’s degree in Computer Science, AI, or a related technical field.
• Experience: A minimum of 10-12+ years of professional software engineering experience, with at least 6-7 years specifically focused on productionizing and scaling ML systems at the enterprise level.
• Core Tech Stack: Expert-level proficiency in Python, Scala, or Java/Kotlin. Extensive experience with PySpark and high-performance computing.
• Generative AI & LLMOps: Proven track record of taking LLM applications from research to production, including experience with Vector Databases, LangChain/LangGraph, and A2A protocols.
• System Design: Superior ability to design distributed systems that handle millions of requests with sub-second latency.
• Experience with microservice based architecture, preferably with AWS tooling (SageMaker, DynamoDB, Athena, Glue, etc.)
• Experience in software engineering best practices and tools including object-oriented programming, test-driven development, CI/CD, git, shell scripting, task orchestration, MLflow
• Profound knowledge of model deployment, orchestration (Apache airflow, Prefect), scaling, and managing CPU/GPU resources efficiently. 
• Exceptional problem-solving, analytical skills and the ability to tackle complex problems with a critical thinking approach. 
• Outstanding communication and interpersonal skills, coupled with a demonstrated ability to work collaboratively within a team environment.
• Foundational knowledge in statistical concepts (e.g. classification, regression, etc) and deep learning algorithms (e.g. CNN, RNN) is desirable

Bonus Ingredients (The "Staff" Edge)

• Data Strategy: Experience implementing enterprise-grade Feature Stores (e.g., Tecton, Feast) and real-time streaming frameworks like Apache Flink or Ray.
• Full-Stack Visibility: Ability to dive into the UI/UX layer (React) or deep into the kernel/networking layer to debug performance bottlenecks.

Open Source/Community: Contributions to relevant open-source projects (MLflow, Kubeflow, etc.) or a history of speaking at industry conferences.

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy 
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

Role Title: Automation & Solution Architect (GCB 4)

Function: Finance System Operations

Role Description:

Senior technical lead for Finance EUC automation scale-up. Accountable for end-to-end technical delivery across demand intake, requirements analysis, build & test, production deployment and RTB change management. Provides consultative input during opportunity scoping, ensuring solutions are feasible and aligned to IT-governed platforms (e.g., Alteryx/ADM) and established controls/guardrails. Leads technical documentation, testing evidence aligned to agreed closure criteria, and supports controlled releases. Partners with Finance Domain BA, POD Lead and platform support to ensure stable, supportable automation.

Skills / Knowledge / Experience:

• Lead & Design automation for EUC (End User Computing) remediation, using AI workflow automation to reduce operational risk, improve control compliance, and accelerate remediation at scale.
• Act as Solution Architect for the end-to-end remediation across Python & Alteryx / FRAME platform, aligning delivery to risk, control, and technology standards.
• Knowledge of Finance process landscape & core systems
• Identify and prioritize EUC remediation opportunities and translate them into an automation roadmap
• Design and deliver AI-assisted remediation capabilities with prompt engineering
• Build automation pipelines to streamline discovery, assessment, remediation tracking, and evidence generation.
• Define human-in-the-loop operating model for AI outputs (review, approval, exception handling) to ensure accountable decision-making
• Familiarity with Python, IT-managed automation platforms e.g., Alteryx
• Experienced in managing end-to-end Testing lifecycle i.e., Unit Testing, SIT, UAT
• Strong in Stakeholder management
• Agile Scrum Master, SAFe, and Project Manager skills set are desirable

Position Overview

We are seeking a Payload Operations Engineer responsible for operating AST satellite payload subsystems to support constellation service and in-orbit testing. This is primarily a day-staff shift position at the AST Satellite Operations Centers (SOCs), with occasional weekend, holiday, and on-call support to provide 24x7 payload operations.

Key Responsibilities

Payload Operations & Monitoring

• Operate payload tools to create configuration items required for in-orbit testing (IOT) and commercial service.

• Monitor service/test automation and analyze results through telemetry and log evaluation.

• Coordinate payload system configuration changes to maintain commercial service levels.

• Monitor and process payload subsystem telemetry data to ensure subsystem health, including power, thermal, and RF performance.

• Maintain situational awareness of satellite, payload, and ground configuration and status.

Tool & Software Support

• Support development of payload operations tools for efficient automated tasks.

• Work with tool developers for functionality updates and payload software updates.

• Operate SOC operations software tools.

• Support development of automated operations tools.

Coordination & Troubleshooting

• Coordinate troubleshooting with SOC, Network Operations Center (NOC), and subsystem engineers to resolve service issues.

• Participate in daily shift handover briefings.

• Support mission product development including procedure development, testing, and validation.

• Support system readiness, planning, and preparation for satellite in-orbit milestones.

• Attend required training sessions, simulations, rehearsals, conferences, and program reviews.

Qualifications

Education:

• Bachelor’s degree in Engineering, Science, Technology, Engineering, or Math (STEM field).

Experience:

• A minimum of 0–2 years (or equivalent experience); Master’s degree or additional experience preferred.

• Technical understanding of satellite system architecture and subsystem functionality.

• Demonstrated ability to work independently in an evolving system environment.

Preferred Qualifications:

• Experience working with satellite communication payloads.

• Multi-satellite LEO constellation experience.

• Demonstrated ability to drive requirements for concepts of operation.

• Familiarity with version control software (preferably Git) and Atlassian tool suite (Jira, Confluence).

• Programming experience in at least one modern language such as Java, Python, Matlab, or C#.

Soft Skills:

• Excellent oral and written communication skills.

• High level of problem-solving capabilities.

• Ability to adapt to rapidly evolving system requirements.

Technology Stack:

• SOC operations software tools.

• Payload automation and telemetry analysis tools.

• Engineering analysis tools, version control systems, programming languages (Python, Java, Matlab, C#).

Physical Requirements:

• Ability to work in an office and SOC environment.

• Legally able to work in Spain.

• Ability to participate in shift work, including occasional weekends, holidays, and on-call periods.

• Ability to use a computer for extended periods.

This job description may not be inclusive to the duties and responsibilities listed. Additional tasks may be assigned to the employee from time to time or the scope of the job may change as needed by business demands. 

Abuse Test Engineer, Energy Storage

Essential Duties:

As an early member of a new engineering team, you will be responsible for designing, executing, and analyzing tests that simulate extreme conditions and misuse scenarios to ensure the safety of our new product.  

Collaborating with design and manufacturing engineering, you will identify potential failure modes and then intentionally abuse complex electromechanical and electrochemical systems (via short circuit, overvoltage, overheat, overcharge, and forced thermal propagation) in a controlled, well-instrumented, well-documented environment in order to stress those failure modes and ensure our products are robust to real world abuse.  

You’re a doer, excited about getting your hands dirty and working in a dynamic, fast-paced setting, and want to shape a new department at Redwood.  

If necessary, we will adjust the job level to suit your experience and responsibilities. 

Responsibilities Will include:

• In addition to performing tests, you’ll help define and build the test infrastructure that will allow us to test swiftly, safely, and with excellent documentation
• You will also use your experience and understanding of failure mechanisms to help design new products to be as intrinsically robust to abuse as possible
• Designing, executing, and analyzing tests that simulate extreme conditions and misuse scenarios to ensure the safety of our new product
• Identify potential failure modes and then intentionally abuse complex electromechanical and electrochemical systems (via short circuit, overvoltage, overheat, overcharge, and forced thermal propagation) in a controlled, well-instrumented, well-documented environment in order to stress those failure modes and ensure our products are robust to real world abuse

Desired Qualifications: 

• Bachelor’s degree in physics, Electrical Engineering, Mechanical Engineering, or a related field
• Strong understanding of physics and the physics of failure
• Proven experience with abuse tests, specifically UL9540a and related thermal propagation testing
• Proficiency in data analysis tools and software (e.g., MATLAB, Minitab, Python)
• Proven experience designing robust, fast-setup data acquisition rigs (e.g. temperature sensor) and actuation (e.g. heater, remote knife switch) 
• Excellent problem-solving skills and attention to detail
• Strong communication and interpersonal skills
• Ability to work independently and as part of a team

Job Title: Finance SME

Job Title: GenAI Developer/ Engineer

About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. 

WHY JOIN CAPCO?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

Location - Bangalore

Experience - 6 to 10

Skills and Qualifications:

Preferred skills:

Programming: Advanced Python (async programming, OOP, REST APIs, FastAPI, Flask, Pandas, NumPy)

GenAI Frameworks: LangChain, LlamaIndex, Haystack, Semantic Kernel

Machine Learning and AI: Snowflake Cortex, TensorFlow, PyTorch

Key Responsibilities:

• Develop scalable Python applications focused on GenAI
• Knowledge of Snowflake Cortex is a big plus.
• Learn and apply techniques like document chunking and embeddings
• Proficient in both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Cassandra) databases, including schema design and optimization.
• Design, develop, and fine-tune applications built around foundation models (e.g., LLMs, multimodal models) for specific business needs
• Implement and experiment with generative AI techniques, including but not limited to Retrieval-Augmented Generation (RAG) and prompt engineering
• Lead the implementation of intelligent autonomous agents and multi-agent systems capable of complex decision-making, task execution, and interaction with external systems
• Utilize and contribute to agentic AI frameworks (e.g., LangChain, AutoGen, Semantic Kernel, Crew AI) to build robust and scalable AI agents
• Develop and integrate Model Context Protocol (MCP) solutions to standardize how AI applications access and utilize external data sources, tools, and real-time information
• Lead the development of full-stack applications that integrate generative AI models and agentic systems, ensuring seamless user experiences
• Work with front-end technologies (e.g., React, Angular, Vue.js, JavaScript, TypeScript, HTML, CSS) and back-end frameworks (e.g., Python with Flask/Django/FastAPI, Node.js, Go)
• Design and implement scalable RESTful APIs and microservices to expose AI functionalities
• Deploy, manage, and optimize AI/ML workloads and full-stack applications on at least one major cloud platform (AWS, Azure, or GCP)
• Implement LLMOps/MLOps and DevOps best practices for continuous integration, continuous delivery (CI/CD), model deployment, monitoring, and lifecycle management
• Follow coding best practices and contribute to testing and documentation
• Stay abreast of the latest advancements in generative AI, agentic systems, foundation models, and related fields through continuous research and experimentation
• Collaborate effectively with cross-functional teams, including product managers, data scientists, researchers, and other engineers
• Communicate effectively with both technical and non-technical team members, ensuring alignment and understanding across all project phases.

Senior Software Engineer, Energy Storage

This position is on a team building the software platform that powers optimized control and market participation of battery energy storage systems (BESS) — software that runs both on site controllers and in the cloud. Our scope spans the full stack: compute infrastructure, telemetry, asset modeling, alerting, feature ingestion and storage for forecasting and optimization, simulation and operational control orchestration, and integration with energy markets. We're a lean team that holds ourselves to high standards in both the quality of what we build and the speed at which we build it. We value collaboration, trust, learning, and engineering excellence, and we genuinely enjoy building great things together.

Responsibilities will include:

• Contribute to BESS data engineering — building and maintaining telemetry pipelines and stores, and feature ingestion and storage systems for forecasting and optimization
• Design, build, and maintain simulation and training infrastructure — platforms for running and orchestrating simulations at scale
• Develop and operate real-time forecast and optimization workflows, orchestrating pipelines that drive BESS operations
• Support energy market integration, including data ingestion and bid management
• Collaborate across the full stack and across team boundaries to ensure the product system works well as a whole
• Write well-tested, well-monitored software and iteratively improve it over time
• Apply AI tools to accelerate development while maintaining high system design quality and code standards

Desired Qualifications: 

• Strong software design instincts — thinks in systems, reasons from first principles, and understands the real-world challenges of building available, reliable, scalable, and secure distributed systems
• Comfortable using AI tools to move faster without letting them erode system design or code quality
• Excellent collaborator — communicates clearly, listens well, and makes the people around them better
• Bias toward action — takes initiative, makes progress in ambiguous situations, and doesn't wait for perfect information
• Systems thinker and owner — willing to think and collaborate across team boundaries to make sure the product works well as a whole
• Rigorous about quality — writes well-tested, well-monitored software and iterates on it over time
• B.S. or advanced degree in Software Engineering, Computer Science, or another discipline, combined with 2-5 years of experience in software engineering.
• Experience with relevant technologies a plus: Kubernetes, Rust, Python, NATS, PostgreSQL/TimescaleDB, SQLite
• A passion for sustainability and making the world a better place! 

This position is based in our Reston, VA office and offers a hybrid work schedule.

Verisign is hiring a Senior Site Reliability Engineer to help lead a team responsible for building, managing, maintaining, and scaling the Linux infrastructure on which our mission-critical services depend. We value engineering professionals who are equipped with great technical skills and attitudes that motivate those around them. We seek individuals with a sense of purpose and for whom detail and craftsmanship are of their essence; individuals that are curious, demonstrate initiative, and love solving problems.

Responsibilities:

• Oversee deployments of solutions that combine Open Source components, COTS (commercial off the shelf) components, and custom developed components
• Deploy, configure, and maintain services in production, QA and development environments, on various platforms
• Possess advanced development of deployment automation including Ansible
• Development of automation and configuration management solutions using tools such as Jenkins
• Securing automated deployments using tools such as Hashicorp Vault
• Securing infrastructure with micro-segmentation tools such as Guardicore
• Documentation of processes, procedures, and configurations
• Coordination with other technical staff to implement systems and software
• Performance of operations support functions, including problem isolation and resolution
• Documentation of processes, procedures, configurations, and deployment plans
• Provide critical technical leadership in the areas of operational process and change management, and mentor less experienced engineers
• Participate in a 24x7 on call rotation

Our ideal candidate will have a unique blend of impeccable technical skills and a desire to work as part of a team to grow themselves and those around them. The team deploys engineers and operates enabling infrastructure in support of mission critical customer applications. The candidate must have:

• Bachelor’s degree in computer science or a related technical field, or equivalent combination of education and experience
• 10+ years of experience developing and operating mission-critical systems
• Excellent understanding of Linux configuration and administration
• Strong experience with a high-level scripting language such as Python
• Strong automation experience - not just developing automation, but knowing why we automate and what to automate
• Strong understanding of infrastructure-as-code
• Strong written and verbal communication skills – able to clearly and succinctly describe complex issues
• Strong understanding of network protocols and security
• Experience developing mature solutions for monitoring and reporting using tools like Grafana and Splunk
• Familiarity with development tools such as Github, Jira, and Confluence

Desired Skills, Experience, and Attributes:

• Deployment automation experience using tools such as Ansible
• Experience using Jenkins in a continuous delivery and integration environment
• Experience with Virtualization platforms in a production environment such as oVirt and VMWare
• Experience with HTTP proxies such as Squid
• Experience with RedHat Enterprise Linux
• Experience with CMDB and ITIL platforms such as ServiceNow
• Experience with RedHat Identity Manager and/or FreeIPA
• Experience with Linux authentication via Active Directory
• Experience administrating Linux and Unix systems in a large-scale environment
• Experience working with teams using Scrum a plus

The pay range is $164,300 - $222,300.

The anticipated annual base salary range for this position is noted above, however, base pay offered may vary depending on job-related knowledge, skills, experience. Verisign offers a discretionary bonus which is based on individual and company performance, and certain roles may be eligible for discretionary stock awards.

This position is based in our Reston, VA office and offers a hybrid work schedule.

We are looking for a Production Operations Engineer to help lead our team responsible for building, managing, maintaining and scaling operational infrastructure on which our mission-critical services are deployed or depend.  We prize engineering professionals who are equipped with great technical skills and attitudes that motivate those around them.  We seek individuals with a sense of purpose and for whom detail and craftsmanship are of their essence; individuals that are curious, demonstrate initiative, and love solving problems.

Responsibilities:

• Participate in technical designs for software solutions that combine Open-Source components, COTS (commercial off the shelf) components, and custom developed components
• Installation, configuration and maintenance of production, QA and development environments in which Verisign applications are deployed; environments include servers, operating systems, OpenStack, and automation tools
• Development of deployment automation tools including Ansible
• Development of enabling infrastructure using Terraform
• Coordination with other technical staff to implement systems and software
• Performance of occasional operations support functions, including problem isolation and resolution
• Documentation of processes, procedures, configurations, and deployment plans
• Provide critical technical leadership in the areas of operational process and change management, and mentor less experienced engineers
• Regularly reporting progress to management
• Participate in a 24x7 on call rotation

Our ideal candidate will have a unique blend of impeccable technical skills and a desire to work as part of a team to grow themselves and those around them.  The team deploys engineers and operates enabling infrastructure in support of mission critical customer applications.  

The candidate must have:

• Bachelor’s degree in Computer Science or a related technical field, or equivalent combination of education and experience
• 8+ years of experience developing and operating mission-critical systems
• Excellent understanding of Linux configuration and administration
• Strong automation experience - Not just developing automation, but knowing why we automate and what to automate
• Strong understanding of infrastructure-as-code
• Strong written and verbal communication skills – able to clearly and succinctly describe complex issues
• Familiarity with networking protocols and systems

Desired Skills, Experience, and Attributes:

• Experience with RedHat Identity Manager and/or FreeIPA
• Experience with ServiceNow
• Experience with a high-level scripting language such as Python
• Experience with RedHat Enterprise Linux and/or FreeBSD
• Experience with network troubleshooting using such tools as ping, traceroute and dig
• Deployment automation experience using tools such as Ansible
• Experience working with teams using Kanban and/or Scrum a plus
• Experience with Docker or Kubernetes in a production environment
• Experience with OpenStack in a production environment
• Experience administrating Unix systems in a large-scale environment
• Experience using Jenkins in a continuous delivery and integration environment

The pay range is $135,800 - $183,800. 

The anticipated annual base salary range for this position is noted above, however, base pay offered may vary depending on job-related knowledge, skills, experience. Verisign offers a discretionary bonus which is based on individual and company performance, and certain roles may be eligible for discretionary stock awards.

The Sr Manager - Information Security, Tools and Engineering, is responsible for developing and collaborating across departments to implement Verisign's information security program. The primary goal of the this role is to lead the implementation and operational maturity of the organization’s security tooling ecosystem. This role oversees the engineering team responsible for deploying, integrating, monitoring, automating and maintaining security technologies that enable detection, prevention and response across the enterprise.

This is a hands-on technical leadership role. The ideal candidate combines strong technical depth in security tooling with proven leadership experience, and demonstrates a commitment to automation, scalability and engineering-driven security operations.

Key responsibilities:

• Supports implementation, stabilization, and daily performance of security tooling
• Lead lifecycle management of enterprise security tools and platforms
• Manage and mentor a team of senior security engineers responsible for deployment, integration, tuning and operational management of security technologies
• Drive and develop automation and an engineering first approach to reduce manual efforts
• Partner with security operations to ensure tools support operational workflows
• Establish metrics, KPIs and maturity roadmaps for security tooling effectiveness
• Ensure tools are configured, proactively monitored and maintained according to security best practices
• Drive continuous improvement of detection coverage, automation and operational efficiency

Qualifications:

• 4-year bachelor's degree in Computer Science, a related field, or equivalent work experience required; graduate degree in Computer Science or a related field, preferred
• 8+ years of experience in security engineering
• 2+ years of experience managing security engineering or security tooling teams
• Strong hands-on experience with deploying and maintaining enterprise security platforms such as SIEM, EDR, VM, Cloud Security and Security Orchestration and Automation tools
• Strong scripting and automation skills including Python and experience building automation workflows, integrations or tooling to support security operations
• Ability to balance strategic vision with hands-on technical oversight
• CISSP, CISM, CEH, or GPEN, preferred

This position is based in our Reston, VA office and offers a hybrid work schedule.

The pay range is $164,300 - 222,300.

The anticipated annual base salary range for this position is noted above, however, base pay offered may vary depending on job-related knowledge, skills, experience. Verisign offers a discretionary bonus which is based on individual and company performance, and certain roles may be eligible for discretionary stock awards.

Seeking enthusiastic candidates for a truly exciting opportunity to strengthen and extend the core security substrate at the heart of the Internet. Successful candidates for this position will be in a position to make fundamental and broadly impactful enhancements to the very foundations of Internet security. The Sr Engineer - Research Engineering plays a lead technical role in identifying and developing novel and operationally relevant research concepts related to Internet infrastructure applications and protocols.  The applicant is expected to be ready to understand how technology impacts Verisign's business and pursue solutions that will mitigate risk or accelerate opportunities for Verisign's business.  This role is responsible for collaborating on integration strategies for technologies across the company and the industry.

Key responsibilities:

• Works closely with business and technology leaders to identify research and development opportunities based on long-term business strategy and objectives. Provides business and technology leaders with active support enhancing the forward direction and innovative potential of their areas.
• Develops real world solutions to difficult technology problems through innovative yet programmatic approaches.
• Develops compelling and easy to understand use cases as well as software and systems prototypes.
• Serves as a recognized technical expert. Mentors and provides guidance to more junior level engineers.  Coordinates and provides leadership in interdepartmental research projects and efforts, for example, organizing and directing the Research summer internship program.
• Represents Verisign in related external forums to build our reputation as an industry thought leader; publicizes research results in appropriate internal and external forums.

Education and experience requirements:

• Bachelors and Masters degrees in Computer Science, Engineering or a related technical field are required; PhD is preferred
• 8-10+ years’ experience in research engineering, ideally with a mix of professional and academic experience
• Experience with systems development research and/or prototype development
• Experience with network security, including cryptography, privacy, identification, and authentication
• Experience presenting ideas and prototypes at public forums, such as technical conferences
• Authorship on one or more peer reviewed publication(s)
• Experience with open standard Internet protocols and/or services (such as DNS, IP, RDAP, etc.)
• Experience with large scale data analysis and evaluation of network traffic data
• Deep hands on technical skills combined with experience working in research teams on fast paced, high impact projects
• Knowledge of *nix operating systems
• Strong development background
• C, C++, Java, and/or Python
• SQL, NoSQL, or equivalent data storage schema creation and use

This position is based in our Reston, VA office and offers a hybrid work schedule.

The pay range is $164,300 - 222,300.

The anticipated annual base salary range for this position is noted above, however, base pay offered may vary depending on job-related knowledge, skills, experience. Verisign offers a discretionary bonus which is based on individual and company performance, and certain roles may be eligible for discretionary stock awards.

We are looking for a Systems Engineer to join a dynamic team responsible for building, managing and maintaining the Verisign Kubernetes platform on which our mission-critical services depend. We prize engineering professionals who are equipped with great technical skills and attitudes that motivate those around them.

Our platform and our team

Our platform uses a mix of Open Source and commercial off-the-shelf software and targets a large on-premise bare-metal footprint using cloud-native constructs. The environment offers a secure-by-default configuration, implementing a GitOps-first approach, in-depth network micro-segmentation and governance policies. We follow a mostly Kanban workflow and adhere to devops and GitOps principles. We value fast iteration and a customer-oriented approach while being mindful about security. The team has strong expertise in Kubernetes, networking and operating an internal cloud but also has experience with application development. The team is geographically diverse, with presence in both Switzerland and the US.

Job responsibilities:

• Develop the internal Kubernetes platform
• Integrate platform components and operators; implement the deployment and monitoring for these following infrastructure as code (IaC), configuration as code (CaC) and GitOps principles
• Develop and maintain an internal Kubernetes operator
• Develop CI validation and verification of the code base
• Adopt a security mindset as part of development and validation processes
• Document the platform for use-of-use by application teams and the platform operations team
• Coordinate with other technical staff to implement systems and software, prioritizing depending on business needs
• Support operations functions, including root cause identification, remediation and documentation
• Regularly re-assess the platform's internal ecosystem with the industry's leading solutions 
• Participate in a 24x7 on call rotation for tier 3 support

Preferred Skills, Experience, and Attributes:

An ideal candidate will have a blend of technical skills, an intention to grow themselves and those around them, and will have a combination of:

• Experience with Kubernetes (and related ecosystem) configuration and administration
• Experience developing mature solutions for monitoring and reporting using tools like Prometheus, Grafana and Splunk
• Writing code with a high-level programming language such as Python or Go (aka Golang)
• Experience writing and maintaining a Kubernetes operator
• Understanding of security and network stack
• Experience operating Linux and Unix systems in a large scale environment
• Experience with managing an on-premise footprint
• Experience with one cloud environment, such as AWS
• Familiarity with development tools such as GitHub
• Written and verbal communication skills; ability to clearly and succinctly describe complex issues

Qualifications:

• Bachelor’s degree in computer science or a related technical field, or equivalent combination of education and experience
• Prior experience developing or operating a Kubernetes platform in a production environment
• Experience with one high-level programming language
• Achieving this skill-set typically requires a minimum of 5 years of relevant industry experience, but we are open to alternative career paths

Verisign is seeking a Senior Manager, Cloud Engineering with a strong foundation in full-stack development to lead the strategy, development, and reliability of our cloud footprint. This role is ideal for an experienced professional with hands-on expertise in modern web and backend technologies, cloud solutions who prioritizes security, stability, and performance. You will leverage your technical skills and leadership to ensure our cloud presence operates efficiently and securely while aligning with business objectives and minimizing risks.

As a technical leader, you will oversee the design, development, and maintenance of APIs & web platforms, guiding their migration to AWS with a focus on reliability and scalability. You’ll champion best practices in secure full-stack development and drive unified solutions for automation, deployment, and monitoring. Your role will emphasize risk reduction by implementing robust security measures, proactively mitigating threats, and ensuring compliance with industry standards. You’ll also optimize for cloud-native architectures while implementing best practices to improve reliability, performance, responsiveness, stability of our services while efficiently managing cost in the cloud. Collaboration and leadership are key while fostering a culture of excellence while aligning efforts with business objectives. You’ll work with cross-functional teams and set clear KPIs to track performance, risks, and system health. Strategically, you’ll define a unified vision for the company’s cloud presence, staying ahead of trends to future-proof systems. By prioritizing risk management and operational efficiency, you’ll ensure the long-term success of all cloud initiatives.

Why Join Us?

• Lead mission-critical initiatives to ensure the security, reliability, and performance of our digital presence
• Drive impactful work in a collaborative environment with a focus on risk management and operational excellence
• Use your full-stack development skills to architect and manage high-performing, secure web solutions
• Enjoy competitive compensation, comprehensive benefits, and opportunities for professional growth
• Engage with the senior leadership at the company directly to influence roadmap for Web Presence

Requirements:

• 8+ years of experience in leadership roles managing cloud development and operations teams
• Bachelor’s degree in Computer Science, Information Systems, or a related technical field
• Skilled at mentoring and developing team members while fostering a culture of curiosity and innovation
• Proven expertise as a full-stack developer, with hands-on experience in modern front-end frameworks (e.g., React, Angular) and back-end technologies (e.g., Java, Python)
• Proven experience in cloud, preferably with AWS
• Adept at aligning team strengths with project requirements to optimize performance and create growth opportunities
• Extensive experience managing external-facing web properties with a focus on user experience, operational excellence, and reliability
• Demonstrated ability to mitigate risks, ensure compliance, and deliver secure, stable platforms

This position is based in our Reston, VA office and offers a hybrid work schedule

The pay range is $164,300 - $222,300. 

The anticipated annual base salary range for this position is noted above, however, base pay offered may vary depending on job-related knowledge, skills, experience. Verisign offers a discretionary bonus which is based on individual and company performance, and certain roles may be eligible for discretionary stock awards.

We are seeking an experienced Senior Engineer - ServiceNow Platform with deep technical expertise in IT Service Management (ITSM), IT Asset Management (ITAM), Platform Integrations, Discovery. The ideal candidate will have proven experience designing, implementing, and managing complex ServiceNow platform solutions. This role will involve overall platform implementation, driving innovation, ensuring system optimization, and responsible for solution design for platform delivery. Ideal candidates demonstrate strong leadership skills to guide technical teams and business stakeholders.

Key Responsibilities:

• Platform Strategy:
• Lead the overall design of the ServiceNow platform, ensuring alignment with business goals and industry and technical best practices.
• Collaborate with business leaders, stakeholders, and technical teams to develop and implement innovative solutions using ServiceNow platform.
• Define platform roadmaps, by ensuring scalability, performance, stability, and audit compliance.
• Lead the design of workflows, integrations, and modules to extend the ServiceNow platform’s capabilities.
• ServiceNow Implementation & Optimization:
• Drive the end-to-end implementation of ServiceNow solutions, focusing on Core foundation, ITSM, ITAM, ITOM, SecOPs, GRC, TPRM, and other relevant modules.
• Manage platform upgrades and ensure all applications are optimized and adhere to enterprise security and compliance standards.
• Provide technical guidance to configure, customize, and develop on the ServiceNow platform based on business needs.
• Manage the documentation of solutions, internal technical and process knowledge base materials, and training of process owners and stakeholders.
• Leadership:
• Provide process governance and technical best practices.
• Providing mentorship and guidance for a team of ServiceNow engineers
• Work closely with cross-functional teams (IT, Security, Engineering, Finance, HR) to drive adoption and ensure platform success.
• The ability to meet strict deadlines and other targets both individually and as the leader of multiple teams, strong decision maker.
• Stakeholder Engagement & Communication:
• Engage with executive leadership and management to understand business objectives, providing solutions that deliver tangible value and measurable outcomes.
• Coordinate with ServiceNow team management to ensure clear communication regarding project status, challenges, and milestones.
• Continuous Improvement:
• Establish technical governance and best practices to continuously improve platform performance and operational efficiency.
• Stay current with the latest ServiceNow trends, releases, and best practices, proactively applying new technologies and functionalities to enhance the platform.
• Create a safe space for engineering team members to experiment with technical solutions that may solve organizational problems.

Required Qualifications:

• Experience:
• 8+ years of experience with ServiceNow, including deep technical expertise in ITSM, ITAM, ITOM, SecOPs, GRC, and TPRM modules.
• Strong experience in architecture and design of ServiceNow platform implementations, including workflows, custom apps, and integrations.
• Proven experience leading technical teams, process governance and delivering large-scale projects.

• Technical Skills:
• Proficiency with scripting languages (JavaScript, Glide, etc.) in the context of ServiceNow platform development and Service Portal (HTML, CSS, AngularJS, SASS, Bootstrap)
• Strong understanding of CMDB, Asset Management, Discovery, Portal, Incident, Problem, and Change Request Management processes.
• Experience integrating ServiceNow with external systems via REST/SOAP APIs, Integration Hub and Spokes.
• Nice to have Perl and Python programming in Linux environment.
• Experience with Agile, Scrum and Kanban development methodologies.

• Leadership & Communication:
• Demonstrated ability to mentor technical teams, ensuring a collaborative and high-performance culture.
• Excellent verbal and written communication skills, with the ability to present complex technical concepts to business leaders and stakeholders.

• Education/Certifications:
• Bachelor's degree in IT, Business, or related field preferred or equivalent work experience.
• ServiceNow Certified Implementation Specialist (ITSM, ITAM, or similar).
• ServiceNow Certified System Administrator (CSA).
• ServiceNow Certified Application Developer (CAD).
• ITIL v3/v4 certification is a plus.
• Certified Technical Architect (CTA) is a big plus.

This position is based in our Reston, VA office and offers a hybrid work schedule.

The pay range is $135,800- $183,800.

The anticipated annual base salary range for this position is noted above, however, base pay offered may vary depending on job-related knowledge, skills, experience. Verisign offers a discretionary bonus which is based on individual and company performance, and certain roles may be eligible for discretionary stock awards.

About Appier 

Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.

About the role

We're looking for an experienced data engineer to build and scale our data infrastructure. You'll work on mission-critical systems that power our data-driven decision making, designing robust pipelines and optimizing distributed platforms that process massive datasets.

Responsibilities

• Design, develop, and maintain production data pipelines processing hundreds of terabytes of data daily across distributed systems
• Build, manage, and optimize large-scale data platforms including Spark clusters, Kafka clusters, and related big data infrastructure
• Develop and operate data warehouse systems and ETL pipelines for data collection, processing, storage, and analytics
• Profile and tune performance of critical components to optimize throughput, reduce latency, and improve resource efficiency
• Establish architectural foundations and engineering best practices for the platform
• Design frameworks and tooling to streamline software development, deployment, monitoring, and observability
• Provide technical expertise and guidance on big data system design, performance optimization, and scalability challenges

About you

[Minimum qualifications]

• BS/MS degree in Computer Science or related technical field
• 2+ years of hands-on experience building and operating large-scale distributed systems
• Proficiency in Java and/or Scala for production-level development
• Proven experience building ETL pipelines and data processing workflows using Apache Spark
• Experience managing and optimizing data lakes or data warehouses at scale
• Ability to work independently and adapt quickly in fast-paced, dynamic environments
• Self-motivated learner who takes ownership, manages multiple priorities effectively, and thrives in collaborative team settings
• Experience deploying and managing infrastructure on public cloud platforms (AWS, GCP, or Azure)

[Preferred qualifications]

• Proficiency in Python and/or Golang for building production systems
• Experience profiling and optimizing JVM performance for high-throughput applications
• Hands-on experience managing and operating data platforms such as Hadoop, Kafka, Flink, Hive, Trino, Presto, or ClickHouse
• Knowledge of modern open table formats including Apache Iceberg, Delta Lake, or Hudi 
• Active contributions to open source projects (please include your GitHub profile if applicable)

#LI-AK1

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary

We are seeking a Secrets Engineer to lead the development, deployment, and ownership of a secure, scalable secrets-management platform for the entire organization. You will build a new enterprise-grade HashiCorp Vault or OpenBao environment from scratch. It must be highly available, resilient, and suited for long-term use. 

This is a strategic role: you will deliver and operate the central platform. You will also collaborate with engineering, security, and operations teams that manage localized or ad-hoc secrets systems. A key part of your mission is to unify and standardize these methods across Graphcore, ensuring consistent guidelines, smooth migration, and organization-wide support. 

The Team

You’ll be joining a multidisciplinary team with strong technical skills and a very encouraging culture. We work closely together and regularly share knowledge, and your skills will make a direct impact on our business. It’s an exciting and pivotal moment for us right now, with plenty of new projects ahead. If you’re looking to solve interesting problems and see your work deliver real-world results, this is the team for you.

Responsibilities and Duties

Platform Ownership & Implementation

• Build, deploy, and operate an organization-wide HashiCorp Vault or OpenBao platform from scratch, ensuring high availability, scalability, and strong security posture.

• Define architecture for clustering, storage backends, auto-unseal, disaster recovery, and performance replication.

• Develop migration strategies and reference frameworks that allow other teams to move from their current secrets tools to the central platform.

• Standardization & Governance

• Collaborate with groups from engineering, security, and operations to merge various secrets stores into one unified system.

• Develop organizational standards, policies, access models, and workflows to ensure consistent, secure usage of the platform.

• Advocate for guidelines in secret lifecycle management, authentication methods, and identity federation.

Integrations, Enablement, and Developer Experience

• Build tooling, automation, onboarding guides, and libraries to help teams adopt Vault/OpenBao easily and accurately.

• Integrate Vault/OpenBao with CI/CD systems, cloud platforms, and internal services.

• Deliver workshops, training, and direct technical support to accelerate adoption.

Research & Advanced Security Capabilities

• Evaluate approaches for secure password storage for individual users—either within Vault/OpenBao or by assessing alternatives such as BitLocker or other credential-management systems.
• Conduct an initial study on the feasibility of implementing SPIFFE/SPIRE for workload identity, attestation, and zero-trust authentication, outlining future pathways and recommendations.

Collaboration & Cross-Team Work

• Partner with HPC, Networking, Storage, Security, and Cloud Engineering teams to ensure seamless integration of secrets workflows into broader infrastructure systems.
• Find opportunities to improve security posture and operational efficiency through automation and standardized secrets management. 

Candidate Profile

Essential:

• 4+ years in DevOps, SRE, security engineering, or platform engineering roles.
• Direct experience deploying and operating HashiCorp Vault, OpenBao, or a similar enterprise secrets-management system.
• Strong understanding of authentication backends (OIDC, LDAP, cloud IAM), secret engines, PKI, encryption, and token/credential lifecycle.
• Solid Linux administration and shell scripting experience.
• Experience with Infrastructure-as-Code (Terraform preferred) and CI/CD automation.
• Strong communication skills with the ability to collaborate across multiple engineering and security fields.

Desirable:

• Experience crafting HA/DR architectures for Vault/OpenBao.
• Experience connecting Vault with cloud platforms (AWS, Azure, GCP) and CI/CD pipelines.
• Knowledge of SPIFFE/SPIRE, workload identity, or zero-trust architectures.
• Understanding of modern security tooling, certificate management, or identity platforms.
• Python programming experience for automation and tooling.

We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

About Graphcore

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary

In the role of Linux Engineer at Graphcore, you will be key to ensuring flawless operation of our systems and personnel. You will support core IT services and Linux environments daily, assisting colleagues with issue resolution efficiently. A strong focus on security and adherence to guidelines is essential. This is an outstanding chance to join a company breaking new ground in AI technology!

The Team

You’ll be joining a multidisciplinary team with outstanding technical skills and an encouraging culture. We collaborate closely, frequently exchanging knowledge, and your expertise will have a direct effect on our business. It's an exciting time to be part of Graphcore, with ambitious new projects ahead. If you’re eager to tackle interesting challenges and watch your work produce real-world outcomes, this is the team for you.

Responsibilities and Duties

• Logging and solving support requests face-to-face and via the ticketing system.
• Managing and supporting Linux-based systems, providing Layer 1 & 2 support.
• Security patching, including risk assessment for Linux environments.
• Collaborating with engineering teams to manage hybrid cloud and on-prem servers.
• Maintaining Infrastructure-as-Code specifications to deploy and automate changes.
• Handling key infrastructure services such as DNS, DHCP, VPN, and LDAP.
• Maintaining and supporting the virtualisation platform.
• Detailing solutions and maintaining a clear, up-to-date internal knowledge base.

Essential:

• Excellent communication and customer service skills.
• Strong understanding of troubleshooting principles and methodical problem-solving.
• Over 5 years of experience in System Administration concentrating on delivering essential infrastructure services and automation.
• Strong Linux administration skills in Debian & RedHat derivatives on bare metal and virtual machines.
• Good networking skills such as VLANs, VPNs, Wi-Fi, routing, and subnetting.
• Hands-on experience building and managing CI/CD pipelines (e.g., Jenkins, GitLab CI).
• Experience in handling Infrastructure-as-Code with Terraform, Puppet, Ansible, or equivalent tools.
• Managing Virtualisation Platforms like VMware ESXi/vSphere and KVM/libvirtd.

Desirable

• Experience with identifying network/storage/CPU/RAM bottlenecks across complex workloads.
• Familiarity with various monitoring solutions and stacks (e.g., Zabbix, Prometheus, Grafana Mimir, Open Telemetry).
• Experience handling web servers, load balancers, and reverse proxies (e.g., ha-proxy, nginx).
• Proficiency with containerisation frameworks and orchestration (e.g., Docker, containerd, Kubernetes).
• Python programming skills, with the ability to write code to interact with APIs, process data, and build small applications.

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! 

We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

🚀 About the Team

🎯 Your Mission

✏️ Your Responsibilities

DevSecOps Strategy & Roadmap

• Assess the current DevSecOps maturity and define a clear roadmap in coordination with the Architecture Committee.
• Prioritize actions using a global risk-based approach — not only security risk — adapted to Wakam’s context.
• Define performance and reliability metrics for security processes.

Team Support & Enablement

• Support development and operations teams on day-to-day security topics.
• Put business and technical risks into perspective to help teams make informed decisions.
• Train and raise awareness among teams on security best practices, including secure coding, threat modeling, and related practices.
• Help build a sustainable DevSecOps culture across the organization.

Shift-Left Security

• Integrate SAST, DAST, and SCA tests directly into CI/CD pipelines with optimized response times.
• Design and deploy fast, reliable, parallelized security test suites with immediate feedback for developers.
• Document data flows and model attack surfaces from the design phase.

Automation & Tooling

• Deploy and configure static and dynamic analysis tools such as SonarQube, Trivy, Snyk, OWASP ZAP, and similar solutions.
• Orchestrate secure deployments through CI/CD pipelines, including automatic rollback mechanisms and multi-level validation.
• Develop custom automation tools when market solutions do not fully meet Wakam’s needs.

Versioning & Configuration Management

• Implement Infrastructure as Code (IaC) with embedded security controls using tools such as Terraform and Ansible.
• Ensure full versioning of code, infrastructure, configurations, and security policies.
• Manage secrets and certificates through dedicated solutions such as HashiCorp Vault or equivalent tools.

Monitoring & Incident Management

• Deploy and maintain security monitoring tools, including SIEM, alerting, and monitoring solutions.
• Automate anomaly detection and incident response through SOAR and automated runbooks.
• Actively contribute to the management and resolution of security incidents.

Workplace Environment Security Support

• Provide technical support to the team managing the workplace environment, including Microsoft 365, Exchange Online, and SharePoint, on security and monitoring topics.
• Contribute to integrating collaborative tools into global security policies, including authentication, conditional access, DLP, and SIEM alerts.
• Help automate recurring administration tasks and implement alerts for abnormal behaviours.

Technology Watch & Continuous Improvement

• Maintain active monitoring of DevSecOps trends, new threats, and emerging practices.
• Evaluate and integrate relevant technologies for Wakam’s environment.
• Share best practices and lessons learned internally and within the DevSecOps community.

✨ Who You Are

• 7+ years of experience in software engineering and/or operations.
• A solid development background, either as a Developer or DevOps profile.
• Strong hands-on experience in application security and infrastructure security.
• A good understanding of cloud-based production environments.
• Experience with Security Operations / SOC is a plus.

Technical Skills

• DevOps & Automation: CI/CD, Azure DevOps, GitHub Actions
• Containers: Docker, Kubernetes
• Infrastructure as Code: Terraform, Ansible
• Cloud Platforms: Azure, AWS
• Scripting: Python, Bash, PowerShell
• Application Security: OWASP, secure coding practices
• Security Tools: SAST, DAST, SCA, vulnerability scanning

Security Expertise

• Knowledge of security protocols and cryptography.
• Familiarity with compliance frameworks and standards.
• Experience using vulnerability scanning and mitigation tools.
• Strong infrastructure security practices.

🧠 What You Bring

• Strong mentoring, influence, and support skills.
• Excellent communication skills, with the ability to explain technical risks and concepts clearly.
• Proven technical leadership and change management capabilities.
• High autonomy and a proactive, solution-focused mindset.
• A 360° vision, with the ability to balance security, business, and technology needs.
• Adaptability and comfort working in a transforming environment.

🌟 Why Join Wakam?

• Being at the heart of tech-led transformation.
• Collaborating with passionate experts across disciplines.
• Joining a culture that promotes ownership, agility, and innovation.
• Benefiting from flexible working arrangements — hybrid or fully remote within the UK.

🏆 Hiring Process

1. Interview with our Talent Acquisition Partner
2. Manager interview with our Head of Information Security
3. Case study with the Digital Team
4. HRBP interview

AI-Assisted Interview Process Policy | Notion

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

We’re looking for a sharp, detail-driven individual with strong financial operations, critical thinking, and organizational skills to join our global Clearing team. This role is part of our core Operations team, ensuring the reliable flow of trading activity across global markets and managing moment-to-moment risk for trading teams.

This is a 4-day workweek role, with one weekend day (Saturday or Sunday) as part of your schedule. During onboarding and training, you’ll initially work a standard Monday–Friday week before transitioning to the 4-day schedule (Wednesday–Saturday or Sunday–Wednesday). Candidates must be comfortable with and prepared for this arrangement. Flexibility and reliability to support weekend trading are essential to success in this role.

What You’ll Do:

• Perform daily clearing functions, including trade capture, lifecycle management, reconciliation, and resolving breaks across venues and products.
• Facilitate smooth operations by working directly with trading teams, clearing brokers, exchanges, and internal stakeholders across Technology, Finance, and Operations.
• Identify opportunities to improve processes and workflows while assisting with developing and maintaining detailed procedural documentation.
• Execute additional operational duties as needed to support the business.

• Experience: 2+ years in a related operational role, preferably in financial services. Familiarity with post-trade lifecycles (Equities, Treasuries, Futures, FX, or Options) is ideal.
• Technical Skills: Proficiency in Microsoft Excel (pivot tables, v-lookups) is required. Python and SQL skills are a strong plus. Genuine curiosity about data and technology, and utilising new tools proactively to work smarter.
• Knowledge: Familiarity with exchange connectivity, clearing systems, and trading infrastructure is advantageous.
• Problem-Solving: Strong analytical skills, process improvement experience, and the ability to handle large data volumes accurately under time constraints.
• Communication: Excellent written and verbal communication skills, with the ability to collaborate globally and interface with internal and external contacts.
• Adaptability: Composure during stressful situations, strong judgment in dynamic environments, and a proactive approach to decision-making.
• Education: Bachelor’s degree in Business, Economics, Finance, or a related field with a STEM background with a strong interest in Finance.

Benefits include:

• Private Medical, Vision and Dental Insurance
• Travel Medical Insurance
• Group Pension Scheme
• Group Life Assurance and Income Protection Schemes
• Paid Parental Leave
• Parking and Commuter Benefits

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary

We are looking for a dedicated Automation Engineer to join Graphcore Ltd. in Bristol, UK. This role offers an outstanding opportunity to build and scale automation capabilities across our modern platforms, starting with the Atlassian Cloud and extending to other innovative systems. You will play a key role in establishing a configuration-as-code model, advancing our automation efforts, and ensuring smooth operations through reliable workflows based on continuous integration and delivery.

The Team

You’ll be joining a world-class, multi-disciplinary team known for its strong technical prowess and encouraging culture. Our team collaborates closely, regularly shares knowledge, and your contributions will make a significant impact on our business. This is an ambitious and pivotal time for us, with numerous new projects on the horizon. If you're determined to tackle interesting challenges and see your work deliver real-world results, this is the team for you! 

Responsibilities and Duties

• Build and implement CI/CD pipelines to manage configuration changes with validations, approvals, and deployment stages
• Develop and maintain configuration-as-code workflows, ensuring all modifications are version-controlled, auditable, and repeatable
• Build and maintain automated systems for provisioning projects, workflows, permissions, and configurations
• Implement approval gates, policy checks, and validation logic within pipelines to enforce governance and compliance
• Connect CI/CD workflows with identity and access systems (e.g., Azure AD) to guarantee secure and auditable provisioning
• Develop automation using APIs and scripting to manage SaaS platforms, initially focusing on Atlassian
• Compose and build reusable automation frameworks and patterns that can be extended to other systems driven by APIs
• Collaborate with Atlassian Administrators to identify manual processes and transition them into automated workflows
• Work closely with the Lead Atlassian Platform Engineer to implement platform architecture, standards, and governance through code
• Develop tooling to enforce standards, prevent configuration drift, and improve consistency across environments
• Build automation and tooling through the use of relevant programming or scripting languages (e.g., Python, Go, PowerShell)
• Monitor and improve the performance, reliability, and scalability of automation workflows and pipelines
• Support audit and compliance requirements by ensuring all modifications are traceable and managed through pipelines
• Contribute to documentation, standards, and guidelines for automation and platform operations

Candidate Profile

Essential:

• Strong experience in DevOps, automation, or platform engineering roles
• Established expertise in developing and maintaining CI/CD pipelines (e.g., GitLab CI, Jenkins, CloudBees or equivalent)
• Experience building workflows for configuration, infrastructure, or SaaS platforms that follow a structured process
• Experience applying approval, validation, and governance controls within CI/CD pipelines
• Proficient programming or scripting abilities (e.g., Python, Go, PowerShell, or similar)
• Experience working with REST APIs and developing automation for systems that rely on APIs
• Experience managing source control systems (e.g., Git) as the definitive reference
• Knowledge of identity and access management principles
• Ability to compose and build scalable, maintainable automation solutions
• Strong problem-solving skills and ability to work in a distributed environment

Desirable:

• Experience interacting with Atlassian Cloud APIs (Jira, Confluence)
• Experience implementing configuration-as-code or GitOps-style approaches
• Familiarity with Azure AD or other identity providers
• Experience building internal platforms or automation frameworks
• Knowledge of governance, audit, and compliance requirements
• Experience extending automation patterns across multiple SaaS platforms

We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary

We are seeking a highly experienced Lead Atlassian Cloud Platform Engineer to own our Atlassian Cloud ecosystem. This includes multiple sites and environments used for cross-company collaboration. 

This role is responsible for maintaining the architectural integrity, security stance, and scalable expansion of the Atlassian platform. An important part of this position involves creating and managing a configuration-as-code environment. In this setup, platform settings are handled via APIs, pipelines, and source control instead of manual management, which guarantees consistency, traceability, and adherence across all locations. 

You will serve as the primary platform owner, setting standards, ensuring governance, and promoting self-service features that help teams work efficiently while keeping security and configuration intact. 

Collaborating with Project Managers, engineering teams, and partners, you will build scalable workflows. You will also guide platform growth and ensure the Atlassian environment adapts to the organisation’s changing requirements.

This role begins with an active role that includes daily support, configuration, and onboarding efforts. At the same time, it involves growing the Atlassian platform team and setting up scalable processes. 

The Team

You’ll be joining a multi-disciplinary team with strong technical skills and a very encouraging culture. We work closely together, regularly share knowledge, and your skills will make a direct impact on our business. It’s an exciting and pivotal moment for us right now, with plenty of new projects ahead. If you're looking to solve interesting problems and see your work deliver real-world results, this is the team for you!

Responsibilities and Duties

• Manage and maintain multiple Atlassian Cloud sites, ensuring secure collaboration spaces that span different companies
• Act as the authoritative decision-maker for Atlassian configuration, preventing configuration drift and ensuring architectural consistency in all builds
• Define and enforce governance standards aligned with audit, compliance, and security requirements
• Establish and maintain a configuration-as-code operating model, ensuring all configuration is provisioned and managed through source control, APIs, and CI/CD pipelines
• Build and maintain automated identity and access provisioning, coordinated with Azure AD (or equivalent), ensuring access follows established rules and is auditable
• Lead automation efforts for project provisioning, workflows, permissions, and scheme management
• Develop and evolve self-service capabilities to standardise project setup and reduce administrative overhead
• Define and maintain best-practice configuration patterns across Jira and Confluence
• Ensure secure separation of internal and third-party collaboration environments, with awareness of data governance, export controls, and security boundaries
• Conduct Root Cause Analysis (RCA) on platform and workflow issues and implement preventative improvements
• Act as the final point of contact for complex Atlassian issues and provide enterprise-level support
• Deliver professional advice to Project Managers and engineering teams across diverse workflows and delivery models
• Provide direct assistance when needed, including collaborating with Project Managers and teams to set up projects and workflows, ensuring they align with platform standards and governance
• Coordinate identity and access integrations and drive automation of administrative processes through scripting and tooling
• Build, mentor, and grow the Atlassian platform team, defining clear roles, responsibilities, and methods of collaboration
• Proactively identify improvement opportunities and drive solutions.

Candidate Profile

Essential:

• Extensive experience coordinating Atlassian Enterprise Cloud
• Proven experience operating as a lead or primary Atlassian platform owner
• Strong automation expertise (Jira Automation, REST APIs, scripting)
• Demonstrated experience implementing configuration-as-code approaches for SaaS platforms
• Experience automating project configuration and enforcing standardisation at scale
• Strong understanding of access control based on user identity and automated provisioning models
• Experience connecting Atlassian with Azure AD (or a similar IdP)
• Experience working in audit-controlled or governance-heavy environments
• Experience crafting secure multi-tenant or cross-company collaboration environments
• Solid understanding of data governance, security boundaries, and compliance considerations
• Proficient scripting abilities (e.g. PowerShell, Python, Go) and familiarity with CI/CD pipelines
• Strong collaborator management and consultancy skills
• Proven ability to operate independently, set direction, and deliver outcomes

Desirable

• Atlassian certifications
• Experience building internal self-service platforms
• Experience directing large-scale collaboration efforts across multiple companies
• Familiarity with DevOps tooling and infrastructure-as-code concepts
• Experience defining enterprise-wide workflow standards

We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Engineering Test Technician, Energy Storage

As an early member of a new engineering technician team, you will play a key role in building, setting up, and running tests to support the development of a new product at Redwood Materials. You’ll work hands-on across mechanical, electrical, and basic software tools to help validate product performance and reliability. You will support all phases of the hardware development lifecycle from early design validation and long-term reliability testing to final process validation by assembling test setups, operating equipment safely, capturing data, and troubleshooting issues as they arise. This role requires a proactive, can-do attitude with careful attention to detail and a strong safety mindset.

Hours: Full-time, Days

Responsibilities Will Include:

• Build, set up, and execute validation tests for a new electromechanical product
• Partner with cross-functional teams (design, reliability, and abuse engineers) to support FMEAs and test plan execution
• Assemble, install, and maintain test infrastructure such as fixtures, sensors, actuators, chambers, and power supplies
• Operate test equipment, follow procedures, and ensure safe handling of high-voltage systems and lab hardware
• Collect, organize, and document test data, observations, and results clearly and consistently
• Perform basic failure triage and support failure analysis through teardown, inspections, and root-cause investigations
• Troubleshoot test setups and hardware issues; escalate and collaborate to resolve blockers quickly
• Support test automation and data logging tools (e.g., running scripts, validating outputs, contributing small updates as needed)
• Support New Product Introduction (NPI) line operations by assisting with product assembly, build readiness, and day-to-day troubleshooting. Create, update, and maintain build documentation, including work instructions, assembly procedures, and change logs to ensure accurate and repeatable processes
• Support with the management of lab inventory, organization, and power infrastructure. Assembly and validation of high-voltage harnesses and electrical sub-systems, including wiring, terminations, and integration while ensuring full compliance with electrical safety requirements and site policies

Desired Qualifications:

• Associate degree, technical certification, or equivalent hands-on experience in mechanical, electrical, mechatronics, or related fields
• 3+ years of experience in a lab, manufacturing, or test environment (technician, engineering tech, or similar role)
• Experience working with or around high-voltage systems (400–2000VDC and 480–800VAC) and strong safety discipline (LOTO, PPE, safe work practices)
• Strong hands-on skills with mechanical assembly, wiring, sensors, instrumentation, and lab equipment
• Comfortable following test procedures, maintaining detailed documentation, and producing clear test summaries
• Familiarity with basic scripting or automation tools (Python a plus) and the ability to learn new tools quickly
• Strong communication and teamwork skills; able to work effectively with engineers and stakeholders across levels
• A get-it-done attitude—willing to jump in, own tasks end-to-end, and do what’s needed to support the team

Physical Requirements:  

• Ability to perform essential physical tasks such as standing, walking, bending, stooping, climbing, lifting (up to 25 lbs), typing, and performing repetitive motions
• Manual dexterity to work with small components under a microscope for extended periods, including precision soldering and handling heavy copper assemblies

Working Conditions:  

• Ability to work in working conditions which may include exposure to noise, dust, chemicals, and temperature extremes, while protected by PPE, for extended periods of time
• Occasional travel required and flexibility to work weekends, nights, or on call as needed

About the Role

As a Senior Technical Artist at Fortis Games, your mission is to bridge the gap between art and technology by developing efficient tools, optimizing asset pipelines, and ensuring seamless integration between art and engineering. You will be instrumental in developing and maintaining rigging systems, shader workflows, and automation tools, helping the art team create high-quality visuals while keeping performance in check. This role allows you to work across multiple projects, collaborating with designers, engineers, and other artists to ensure technical excellence and consistency across all game assets.

• Develop and maintain tools and pipelines for efficient asset creation and integration.
• Identify and communicate technical limitations and potential solutions for art assets and game systems.
• Responsible for developing and implementing rigging systems to support character and creature animation.
• Collaborate with other departments, such as engineering and design, to ensure consistency and quality across the game.
• Lead the development and maintenance of advanced shader systems for the game, optimizing them for performance on target platforms while maintaining high visual fidelity.

What you’ll achieve 

• Implement advanced rigging and animation techniques that increase the efficiency of the production pipeline, resulting in a more streamlined development process.
• Implement and refine pipeline tools and workflows to enable seamless asset creation and level building, reducing errors and improving collaboration between art and design teams.
• Develop and implement advanced VFX features and systems, collaborate with the team to maintain a consistent visual style, quality and efficiency.
• Develop and maintain technical documentation for optimization techniques and share knowledge with the team to ensure best practices.
• Work with programmers to identify bottlenecks and optimize systems, and ensure the project runs at a high level of performance across multiple platforms.
• Effective mentorship and guidance for junior technical artists. 
• Effective communication and collaboration with the art, design, and programming teams. 

What you’ll need to be successful 

• Advanced knowledge of the Unity game engine and scripting.
• Excellent knowledge of modeling programs such as 3DSMAX, Maya, Blender, Zbrush and texture/material authoring tools such as Photoshop and Substance.
• Extensive experience in rigging and animating characters and objects in various styles and workflows.
• Ability to troubleshoot and optimize rigs and animations for maximum performance and quality.
• Basic knowledge of shader creation via node graph, HLSL or GLSL.
• Base proficiency with Python, C# or C++
• Proficiency in creating and optimizing real-time game assets, including characters, environments, and particle effects.\
• Strong understanding of game mechanics and ability to implement complex game systems.
• Ability to provide technical guidance and mentorship to junior technical artists.
• Strong ability to debug complex technical issues and find creative solutions to problems.
• Excellent written and verbal communication skills.
• Ability to work independently and manage multiple projects simultaneously.

About the Role

As a Senior Technical Artist at Fortis Games, your mission is to bridge the gap between art and technology by developing efficient tools, optimizing asset pipelines, and ensuring seamless integration between art and engineering. You will be instrumental in developing and maintaining rigging systems, shader workflows, and automation tools, helping the art team create high-quality visuals while keeping performance in check. This role allows you to work across multiple projects, collaborating with designers, engineers, and other artists to ensure technical excellence and consistency across all game assets.

• Develop and maintain tools and pipelines for efficient asset creation and integration.
• Identify and communicate technical limitations and potential solutions for art assets and game systems.
• Responsible for developing and implementing rigging systems to support character and creature animation.
• Collaborate with other departments, such as engineering and design, to ensure consistency and quality across the game.
• Lead the development and maintenance of advanced shader systems for the game, optimizing them for performance on target platforms while maintaining high visual fidelity.

What you’ll achieve 

• Implement advanced rigging and animation techniques that increase the efficiency of the production pipeline, resulting in a more streamlined development process.
• Implement and refine pipeline tools and workflows to enable seamless asset creation and level building, reducing errors and improving collaboration between art and design teams.
• Develop and implement advanced VFX features and systems, collaborate with the team to maintain a consistent visual style, quality and efficiency.
• Develop and maintain technical documentation for optimization techniques and share knowledge with the team to ensure best practices.
• Work with programmers to identify bottlenecks and optimize systems, and ensure the project runs at a high level of performance across multiple platforms.
• Effective mentorship and guidance for junior technical artists. 
• Effective communication and collaboration with the art, design, and programming teams. 

What you’ll need to be successful 

• Advanced knowledge of the Unity game engine and scripting.
• Excellent knowledge of modeling programs such as 3DSMAX, Maya, Blender, Zbrush and texture/material authoring tools such as Photoshop and Substance.
• Extensive experience in rigging and animating characters and objects in various styles and workflows.
• Ability to troubleshoot and optimize rigs and animations for maximum performance and quality.
• Basic knowledge of shader creation via node graph, HLSL or GLSL.
• Base proficiency with Python, C# or C++
• Proficiency in creating and optimizing real-time game assets, including characters, environments, and particle effects.\
• Strong understanding of game mechanics and ability to implement complex game systems.
• Ability to provide technical guidance and mentorship to junior technical artists.
• Strong ability to debug complex technical issues and find creative solutions to problems.
• Excellent written and verbal communication skills.
• Ability to work independently and manage multiple projects simultaneously.

About the Role

As a Senior Technical Artist at Fortis Games, your mission is to bridge the gap between art and technology by developing efficient tools, optimizing asset pipelines, and ensuring seamless integration between art and engineering. You will be instrumental in developing and maintaining rigging systems, shader workflows, and automation tools, helping the art team create high-quality visuals while keeping performance in check. This role allows you to work across multiple projects, collaborating with designers, engineers, and other artists to ensure technical excellence and consistency across all game assets.

• Develop and maintain tools and pipelines for efficient asset creation and integration.
• Identify and communicate technical limitations and potential solutions for art assets and game systems.
• Responsible for developing and implementing rigging systems to support character and creature animation.
• Collaborate with other departments, such as engineering and design, to ensure consistency and quality across the game.
• Lead the development and maintenance of advanced shader systems for the game, optimizing them for performance on target platforms while maintaining high visual fidelity.

What you’ll achieve 

• Implement advanced rigging and animation techniques that increase the efficiency of the production pipeline, resulting in a more streamlined development process.
• Implement and refine pipeline tools and workflows to enable seamless asset creation and level building, reducing errors and improving collaboration between art and design teams.
• Develop and implement advanced VFX features and systems, collaborate with the team to maintain a consistent visual style, quality and efficiency.
• Develop and maintain technical documentation for optimization techniques and share knowledge with the team to ensure best practices.
• Work with programmers to identify bottlenecks and optimize systems, and ensure the project runs at a high level of performance across multiple platforms.
• Effective mentorship and guidance for junior technical artists. 
• Effective communication and collaboration with the art, design, and programming teams. 

What you’ll need to be successful 

• Advanced knowledge of the Unity game engine and scripting.
• Excellent knowledge of modeling programs such as 3DSMAX, Maya, Blender, Zbrush and texture/material authoring tools such as Photoshop and Substance.
• Extensive experience in rigging and animating characters and objects in various styles and workflows.
• Ability to troubleshoot and optimize rigs and animations for maximum performance and quality.
• Basic knowledge of shader creation via node graph, HLSL or GLSL.
• Base proficiency with Python, C# or C++
• Proficiency in creating and optimizing real-time game assets, including characters, environments, and particle effects.\
• Strong understanding of game mechanics and ability to implement complex game systems.
• Ability to provide technical guidance and mentorship to junior technical artists.
• Strong ability to debug complex technical issues and find creative solutions to problems.
• Excellent written and verbal communication skills.
• Ability to work independently and manage multiple projects simultaneously.

As we expand our product portfolio and global presence, our Engineering department is hiring a Site Reliability Engineer to support and expand our globally distributed team. Together with the rest of the team, we are responsible for the availability, performance, monitoring, and incident response of our cloud-based services.

You could be the next "Nozomier"! If this sounds like you, read on.

In this role you will:

• Embody the Nozomi Networks Cultural Pillars and our mission to protect what matters most with transparency and trust
• Build and maintain our cloud-based infrastructure and related services
• Build solutions to enhance the availability, performance and stability of our services
• Promote and implement automated solutions across application deployment, maintenance, and operational activities
• Troubleshoot issues across the entire stack, from network and OS to applications
• Performance tuning and optimization of cloud services, including cost saving strategies
• Drive post-incident analysis according to our no-blame culture
• Participate in periodic on-call duties
• Ability to operate in settings with strong confidentiality and data privacy protocols

To be successful in this opportunity, you will have:

• Proven professional experience as SRE, DevOps, or Cloud engineer
• Strong hands-on experience with Kubernetes
• Hands-on experience with at least one cloud provider (preferably AWS)
• Good knowledge and understanding of at least one programming language (Ruby, Python, Go)
• Experience defining infrastructure as code using tools such as Terraform or CloudFormation
• Experience in the definition of CI/CD pipelines using technologies like Jenkins, GHA, or similar
• Demonstrable experience of using AI‑enabled tools as part of day‑to‑day work activities to improve efficiency, quality, or decision‑making.
• Ability to work effectively with AI‑assisted tools while applying sound professional judgement and accountability for outputs.

Position Summary:

We are looking for a Staff Software Engineer – Full Stack & AI Innovation with strong hands-on experience in TypeScript (Node.js, JavaScript), and/or Python and a passion for leveraging AI-driven code generation tools to accelerate development. You will play a critical role in operationalizing GenAI-based code generation platform. This role involves translating product specifications into structured inputs for GenAI tools, reviewing the code generated by GenAI tool, and providing feedback to product engineering team to improve quality and performance of the GenAI tool.

You will work closely with product managers, software engineers, and AI specialists to ensure that the generated code aligns with business and technical requirements. The ideal candidate is curious, adaptable, critic and eager to evaluate AI-assisted code generation tool.

Key Responsibilities:

• Develop, Analyze and structure product specifications for input into GenAI programming tools.
• Operate GenAI systems to generate code based on structured inputs.
• Perform detailed code reviews of GenAI-generated programs to ensure correctness, performance, and maintainability.
• Utilize several other AI-powered code generation tools (Cursor.ai, Windsurf, etc.) to compare and optimize GenAI tool in subject.
• Provide feedback to improve GenAI model outputs and prompt engineering strategies.
• Review and validate generated code for correctness, efficiency, and adherence to coding standards.
• Maintain documentation of input formats, code review findings, and feedback cycles.
• Stay current with advancements in GenAI programming tools and code generation technologies.
• Participate in code reviews and mentor junior developers.

Basic Qualifications:

• Bachelor’s/master’s in computer science, Engineering, or equivalent experience.
• 8 to 10 years' experience with strong expertise in at least one of the following:
• TypeScript / JavaScript (Node.js, React, Next.js, Angular, Vue.js)
• Python (Django, Flask, FastAPI/ RestAPI)
• Person must have designed, developed, and maintained scalable front-end and back-end applications using TypeScript/JavaScript/Python.
• Solid understanding of front-end technologies (HTML5, CSS3, Tailwind, Material UI or similar).
• Familiarity with GenAI tools and LLM-based code generation platforms (e.g., GitHub Copilot, CodeWhisperer, etc.).
• Experience with databases: SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB).
• Hands-on experience with Cursor.ai and/or Windsurf (plus other AI-assisted coding tools like GitHub Copilot, Tabnine, Codeium).
• Strong understanding of software development principles and code review practices.
• Familiar with Code review tools (e.g. GitHub, GitLab, Bitbucket etc)
• Strong grasp of software design principles (OOP, SOLID, microservices).
• Excellent problem-solving, debugging, and collaboration skills.
• Excellent analytical and communication skills.
• Ability to work independently and collaboratively in a fast-paced environment.

Preferred Qualifications:

• Experience working with prompt engineering or structured input design for GenAI systems.
• Exposure to MLOps or AI model evaluation frameworks.
• Knowledge of software architecture and design patterns.
• Knowledge of containerization (Docker, Kubernetes).
• Exposure to serverless architecture and event-driven systems.
• Contribution to open-source or AI-driven development communities.

About the Role: 

As a Pre-Sales Solutions Architect, you'll demonstrate the value of Planet's data and services to help organizations within the Western and Northern European regions overcome their earth data challenges. You'll also collaborate with internal cross-functional teams, including Customer Success, Product Management, and Business Development, to act as the voice of the customer to enhance Planet's industry offerings.

The ideal candidate is passionate about Earth observation and enjoys helping customers get most out of their work. This role will appeal to candidates who don’t mind frequent international travel (primarily around Europe) and are comfortable working in the defense and intelligence sector.

This is a full-time, remote position based in France or the United Kingdom. This role requires frequent international travel up to 50%. If located near an office, you are expected to work from that office 3 days per week.

Impact You’ll Own:

• Build and deliver presentations and product demonstrations highlighting technical capabilities of Planet’s platform and our ability to fulfill customer’s business needs.
• Create relationships with customers’ technical and management staff as a trusted advisor to their business.
• Act as an advisor to the customer to recommend a solutions architecture that fits their business challenges.
• Assist with the response to tenders, RFI’s and RFP’s proposals with respect to product/solution information.
• Work with your sales team colleagues to determine account development plans and execute a strategy to engage customers and prospects.
• Collaborate with internal cross-functional teams including Customer Success, Product Management, and Business Development to act as the voice of the customer, assist with RFP and RFI preparation and submissions.
• Attain quarterly and annual sales and operational objectives assigned by management.
• Represent Planet’s Defense and Intelligence needs to Sales leadership, in communicating forecasts, pipeline opportunities, deal reviews, data in CRM tools, and customer feedback.
• Present to key executive Government stakeholders within the Western and Northern Europe Regions.
• Act as a mentor to team members and lead training to drive their development.

What You Bring:

• 6+ years of experience in supporting the Defense community within the European region.
• Bachelor’s degree in a related field.
• Have the ability to obtain and maintain a security clearance for meeting with regional customers.
• Ability to travel internationally up to 50%, primarily around Europe and the United States.
• Excellent verbal and written communication skills in French.
• Professional working proficiency in English, the language of the company.
• Experience working with GIS and Remote Sensing users within the Defense industry.
• Experience in IMINT, ISR, and related fields.
• Experience with QGIS, SocetGXP, ArcGIS, GDAL and other common geospatial software packages.
• Ability to successfully communicate and coordinate with international customers & sales team.
• Excellent problem-solving skills and proactive working style.
• Ability to multitask, prioritize and manage time effectively.
• Ability to program with Python to process imagery, manipulate vector data, interact with APIs and build data pipelines.
• Ability to lead customer engagements.
• Ability to run workshops or training sessions with users.

Application Deadline:

May 18, 2026 by 11:59p / 23:59 CET (Central European Time)

Export Control Requirements:

Planet Labs Germany GmbH is authorized to receive U.S. export-controlled information at Planet under an export license issued by the Bureau of Industry and Security. This position requires access to U.S. and German/EU export-controlled information, and as such, employment (or hiring of a contractor) is contingent upon the candidate’s ability to access all applicable export-controlled information without additional export licensing being required by German, EU, or U.S. authorities.

Benefits While Working at Planet:

These offerings are dependent on employment type and geographical location, based upon applicable law or company policy.

• Paid time off including vacation, holidays and company-wide days off 
• Employee Wellness Program 
• Home Office Reimbursement
• Monthly Phone and Internet Reimbursement
• Tuition Reimbursement and access to LinkedIn Learning
• Equity 
• Volunteering Paid Time Off

#LI-REMOTE

About the Role: 

As a Pre-Sales Solutions Architect, you'll demonstrate the value of Planet's data and services to help organizations within the Western and Northern European regions overcome their earth data challenges. You'll also collaborate with internal cross-functional teams, including Customer Success, Product Management, and Business Development, to act as the voice of the customer to enhance Planet's industry offerings.

The ideal candidate is passionate about Earth observation and enjoys helping customers get most out of their work. This role will appeal to candidates who don’t mind frequent international travel (primarily around Europe) and are comfortable working in the defense and intelligence sector.

This is a full-time, remote position based in France or the United Kingdom. This role requires frequent international travel up to 50%. If located near an office, you are expected to work from that office 3 days per week.

Impact You’ll Own:

• Build and deliver presentations and product demonstrations highlighting technical capabilities of Planet’s platform and our ability to fulfill customer’s business needs.
• Create relationships with customers’ technical and management staff as a trusted advisor to their business.
• Act as an advisor to the customer to recommend a solutions architecture that fits their business challenges.
• Assist with the response to tenders, RFI’s and RFP’s proposals with respect to product/solution information.
• Work with your sales team colleagues to determine account development plans and execute a strategy to engage customers and prospects.
• Collaborate with internal cross-functional teams including Customer Success, Product Management, and Business Development to act as the voice of the customer, assist with RFP and RFI preparation and submissions.
• Attain quarterly and annual sales and operational objectives assigned by management.
• Represent Planet’s Defense and Intelligence needs to Sales leadership, in communicating forecasts, pipeline opportunities, deal reviews, data in CRM tools, and customer feedback.
• Present to key executive Government stakeholders within the Western and Northern Europe Regions.
• Act as a mentor to team members and lead training to drive their development.

What You Bring:

• 6+ years of experience in supporting the Defense community within the European region.
• Bachelor’s degree in a related field.
• Have the ability to obtain and maintain a security clearance for meeting with regional customers.
• Ability to travel internationally up to 50%, primarily around Europe and the United States.
• Excellent verbal and written communication skills in French.
• Professional working proficiency in English, the language of the company.
• Experience working with GIS and Remote Sensing users within the Defense industry.
• Experience in IMINT, ISR, and related fields.
• Experience with QGIS, SocetGXP, ArcGIS, GDAL and other common geospatial software packages.
• Ability to successfully communicate and coordinate with international customers & sales team.
• Excellent problem-solving skills and proactive working style.
• Ability to multitask, prioritize and manage time effectively.
• Ability to program with Python to process imagery, manipulate vector data, interact with APIs and build data pipelines.
• Ability to lead customer engagements.
• Ability to run workshops or training sessions with users.

Application Deadline:

May 18, 2026 by 11:59p / 23:59 CET (Central European Time)

Export Control Requirements:

Planet Labs Germany GmbH is authorized to receive U.S. export-controlled information at Planet under an export license issued by the Bureau of Industry and Security. This position requires access to U.S. and German/EU export-controlled information, and as such, employment (or hiring of a contractor) is contingent upon the candidate’s ability to access all applicable export-controlled information without additional export licensing being required by German, EU, or U.S. authorities.

Benefits While Working at Planet:

These offerings are dependent on employment type and geographical location, based upon applicable law or company policy.

• Paid time off including vacation, holidays and company-wide days off 
• Employee Wellness Program 
• Home Office Reimbursement
• Monthly Phone and Internet Reimbursement
• Tuition Reimbursement and access to LinkedIn Learning
• Equity 
• Volunteering Paid Time Off

#LI-REMOTE