Software Validation Engineer, Energy Storage 

The Redwood Vision: Architecting the Future of the Grid 

We are at the precipice of a global energy transition. At Redwood Materials, we are moving beyond battery recycling to build the most advanced, circular energy ecosystem on the planet. Our goal is to shift the industry from static, hardware-heavy infrastructure toward agile, software-defined energy assets. The Software Validation team ensures that these complex systems are safe, resilient, and ready for grid-scale deployment. 

As a Software Validation Engineer, you are the bridge between pure code and physical reality. You will design and maintain the environments—Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL)—that allow us to stress-test our power electronics and site controllers. Your mission is to build the automated frameworks that catch edge cases before they hit the field, ensuring every product we ship meets the highest standards of reliability. 

Key Responsibilities 

• Validation Environment Design: Architect and scale our SIL and HIL environments (using platforms like Typhoon HIL, Opal-RT, or similar) to provide high-fidelity simulations of battery assets and grid conditions
• Test Automation Frameworks: Lead the development of automated test suites in Python. You will transition our validation processes from manual intervention to a fully automated, scalable framework
• V&V Strategy: Define and execute comprehensive Verification and Validation (V&V) plans, ensuring all software requirements for the site controller and embedded power electronics are met under normal and fault conditions
• CI/CD Integration: Integrate automated HIL/SIL testing into our CI/CD pipelines, providing real-time feedback to the development teams and serving as the final gate for production-ready code
• Hardware-in-the-Loop Interfacing: Design custom interface hardware and wiring for HIL benches, bridging physical I/O from our controllers to simulated power stages
• Root Cause Analysis: Work closely with the firmware and systems teams to debug complex failures found during validation, using logic analyzers, oscilloscopes, and telemetry logs to pinpoint issues

Qualifications 

• Background: A BS or MS in Electrical Engineering, Computer Engineering, or a related field, combined with 2+ years of professional experience in software validation or test automation for hardware-focused systems
• HIL/SIL Mastery: Proven experience with real-time simulation platforms (Typhoon HIL, Opal-RT, or dSPACE) and a deep understanding of how to model power electronics components in a virtual environment
• Automation Toolchain: Expert proficiency in Python (specifically for test automation frameworks like Pytest) and familiarity with Rust and C/C++ to navigate embedded codebases
• Hardware Literacy: Comfortable in a high-voltage lab environment. You should be proficient with standard lab equipment (oscilloscopes, power supplies, electronic loads) and digital protocols like CAN, SPI, and Ethernet
• Systematic Thinking: A dedicated mindset for "breaking" software. You have a track record of finding critical edge cases in complex state machines and control loops
• Infrastructure: Experience with Git, Jenkins/GitHub Actions, and containerization tools like Docker for managing consistent test environments

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

Stripe Terminal helps our users extend their online presence to the physical world. The Terminal team’s mission is to make it as easy for businesses to accept in-person payments as the Stripe API has done for online payments – building for Unified Commerce. With Terminal, businesses can unify their in-person and online experiences, unlocking payments use cases that are right for their business model – whether it’s creating a modern retail experience, extending their website to a pop-up store, or enabling a mobile point-of-sale at their next event.

Within Terminal, the Developer Productivity team empowers mobile, full-stack and embedded/firmware engineers to ship high-quality products quickly and safely. We build tools, processes and infrastructure that accelerate engineers across multiple teams. Our work is critical to supporting Stripe’s in-person payment products and, ultimately, to helping increase the GDP of the internet.

We own a diverse tech stack, including build and developer productivity tooling for mobile engineers; release tooling that enables Terminal releases across SDKs, Android apps and firmware; and test automation infrastructure that helps product engineers ensure the quality and reliability of what they ship. As an engineer on this team, you’ll shape and deliver major pieces of this tooling and infrastructure and help raise the bar for developer experience across Terminal.

What you’ll do

Responsibilities

• Design, build and maintain tools, libraries and infrastructure that improve the productivity of Terminal engineers across mobile, backend and embedded systems.
• Collaborate closely with mobile engineers to understand their workflows and pain points and translate them into practical short-term and long-term solutions.
• Contribute to and improve our build, CI/CD and test automation systems for Terminal SDKs, Android apps and firmware.
• Work with stakeholders across Terminal to prioritize work, balance competing needs and ensure your solutions integrate cleanly into existing workflows.
• Own projects end-to-end, from problem discovery and design through implementation, rollout and ongoing operation.
• Participate in code reviews, design discussions and documentation to maintain a high bar for code quality, reliability and developer experience.
• Mentor other engineers in areas such as build, test and release best practices, helping to spread strong developer productivity practices across the team.

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• BS or MS in Computer Science or a related field, or equivalent practical experience.
• 6+ years of software engineering experience, including meaningful experience with backend systems and at least one of: Android/mobile or embedded/firmware development.
• Experience designing, implementing and maintaining production systems or developer tooling.
• Understanding of how to build scalable, reliable and observable services, pipelines, or tooling.
• Experience owning projects from design through implementation, rollout and ongoing support.
• Ability to thrive in a collaborative environment involving multiple stakeholders and subject matter experts.
• Strong communication skills and the ability to explain technical concepts clearly to different audiences.
• Based in the PST time zone

Preferred qualifications

• Proficiency in one or more of: Kotlin, Java, or Go.
• Experience building tools or platforms to improve developer productivity, with clear empathy for internal developer users.
• Experience with CI/CD tooling and pipelines (e.g. Jenkins, GitLab CI, GitHub Actions) and modern build systems.
• Experience designing and maintaining automated testing infrastructure (e.g. integration/end-to-end tests, test orchestration, or reducing test flakiness).
• Experience with Android build and test tooling (e.g. Gradle, emulators, device farms) or firmware build pipelines.
• Experience in payments, point-of-sale, or hardware-integrated systems is a plus.

About this role

As a Staff Machine Learning Platform Engineer, you will help design, improve, and operate a scalable ML platform to accelerate model training, deployment, and governance. You are the technical bridge between data science and production engineering.  You’ll be joining a small but deeply critical team that scales Faire’s ability to support tens of thousands of local businesses in a constantly narrowing retail landscape.

What You Will Do

• Design and operate ML infrastructure, including workspaces, clusters, jobs, and workflows
• Productionize ML workloads using Spark, Delta Lake, MLflow, and Databricks Workflows
• Teach data scientists how to utilize our ML platform to advance development from notebook to production for our most critical models
• Implement Unity Catalog for data governance, lineage, access control, and secure multi-tenant usage
• Build CI/CD pipelines for ML using Terraform and Git-based workflows (e.g., GitHub Actions)
• Optimize performance, reliability, and cost across training and inference workloads
• Configure Identity and Access Management (IAM) and Role Based Authentication Controls (RBAC) for sensitive data sets
• Establish observability for data quality, model performance, and platform health
• Build and maintain ML Platform technical documentation

What it takes

• 8+ years of experience building production ML or data platforms
• A degree (preferably graduate level) in Computer Science, Engineering, Statistics, or a related technical field
• Strong hands-on expertise with Databricks, Spark, Delta Lake, and MLflow.
• Proficiency in Python, SQL, and distributed systems concepts
• Experience with cloud platforms and infrastructure-as-code
• Solid understanding of MLOps best practices: CI/CD, monitoring, reproducibility, and security
• Experience supporting multiple ML teams in a shared platform environment
• Are an active owner of orphaned problems and are willing to assimilate whatever knowledge you’re missing to get the job done

Tech Stack

Faire uses a modern cloud based tech stack.  For this role, you’ll want to be proficient with the following:

Salary Range

Canada: the pay range for this role is $216,000 to $297,000 per year. 

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.

This job posting is for an existing vacancy.

About this role

As a Staff Machine Learning Platform Engineer, you will help design, improve, and operate a scalable ML platform to accelerate model training, deployment, and governance. You are the technical bridge between data science and production engineering.  You’ll be joining a small but deeply critical team that scales Faire’s ability to support tens of thousands of local businesses in a constantly narrowing retail landscape.

What You Will Do

• Design and operate ML infrastructure, including workspaces, clusters, jobs, and workflows
• Productionize ML workloads using Spark, Delta Lake, MLflow, and Databricks Workflows
• Teach data scientists how to utilize our ML platform to advance development from notebook to production for our most critical models
• Implement Unity Catalog for data governance, lineage, access control, and secure multi-tenant usage
• Build CI/CD pipelines for ML using Terraform and Git-based workflows (e.g., GitHub Actions)
• Optimize performance, reliability, and cost across training and inference workloads
• Configure Identity and Access Management (IAM) and Role Based Authentication Controls (RBAC) for sensitive data sets
• Establish observability for data quality, model performance, and platform health
• Build and maintain ML Platform technical documentation

What it takes

• 8+ years of experience building production ML or data platforms
• A degree (preferably graduate level) in Computer Science, Engineering, Statistics, or a related technical field
• Strong hands-on expertise with Databricks, Spark, Delta Lake, and MLflow.
• Proficiency in Python, SQL, and distributed systems concepts
• Experience with cloud platforms and infrastructure-as-code
• Solid understanding of MLOps best practices: CI/CD, monitoring, reproducibility, and security
• Experience supporting multiple ML teams in a shared platform environment
• Are an active owner of orphaned problems and are willing to assimilate whatever knowledge you’re missing to get the job done

Tech Stack

Faire uses a modern cloud based tech stack.  For this role, you’ll want to be proficient with the following:

Salary Range

San Francisco: the pay range for this role is $246,500 to $339,000 per year. 

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

About the DevInfra Team

The DevInfra team is Mixpanel’s platform engineering team. Our mission is to be a force multiplier for Mixpanel engineering as a whole. We achieve this by partnering with our engineering teams to build a world-class software development life cycle together.

About the Role

We are looking for an engineer with a strong track record of solving tooling pain points, automating away toil, and helping teams deliver software faster, more safely, and more reliably. Someone who is energized by supporting their fellow engineers. An engineer who has good taste and leverages AI to great effect without generating slop. Frequent forays into uncharted territory requires our team to be highly adaptable and always ready to learn. We serve as trailblazers for the rest of Mixpanel engineering.

Responsibilities

• We partner with a wide variety of teams to build out their software development lifecycle to be optimized for speed, safety, and reliability. We support teams writing front-end UI code as well as teams maintaining our highly stateful storage systems deep in our stack.

• We are responsible for deploying AI tools like Claude Code to our entire engineering team. We are building agents into our platform to do things like augment on-call response and automatically one-shot bugs that come through a team’s triage queue.

• We support systems that ingest more than 1 Trillion user-generated events every month while balancing low end-to-end query latency. Mixpanel queries typically scan more than 1 Quadrillion events over the span of a month. More details in this blog post.

• Mixpanel runs entirely on Google Cloud Platform and Google Kubernetes Engine. DevInfra is the overall admin for our cloud environment, so we wear many hats. We are responsible for things like Terraform, cost management, networking, and security best practices.

• We are the overall service owner for Kubernetes. Individual teams are responsible for maintaining and monitoring their own clusters and workloads. We are responsible for setting standards for deployment, observability, and developer experience. We facilitate efforts like Kubernetes version upgrades and helping teams adopt new Google Kubernetes Engine features.

• Service ownership of our observability pipelines. We have instrumented over 30 million Prometheus metrics time series and use Open Telemetry to ingest over 4 billion distributed tracing spans per month. An example: How We Migrated from StatsD to Prometheus in One Month.

• We maintain our GitHub Actions based CI/CD pipelines. We maintain a robust GitHub-native delivery process that empowers teams to self-serve their needs while ensuring safety and reliability. See this blog post for an example.

• We maintain our devbox system that provisions cloud development environments for individual developers.

• We procure best in breed SaaS tooling for the rest of engineering. We own our relationship with GitHub, Honeycomb, Chronosphere, Sentry, and more.

• We run the new engineer onboarding process. If you join us, your first meeting will probably be with us!

We're Looking For Someone Who Has

• 3+ years of industry experience.

• Experience with at least one of: Go, Python, or JavaScript/TypeScript.

• Production experience working with Kubernetes.

• Production experience managing infrastructure in a major cloud provider such as Google Cloud Platform, Amazon Web Services, or Azure. Preferably Google Cloud Platform.

• Knowledgeable about coding agents like Claude Code

Bonus Points

• Experience with observability solutions like OpenTelemetry, Prometheus, or Distributed Tracing for application monitoring and performance analysis.

• Experience with service mesh.

• You write excellent docs.

• Proficient with GitHub Actions and the GitHub ecosystem.

• Experience building deployment pipelines. We love GitOps!

• Bazel expertise.

• Experience with Terraform.

• Experience with cloud Identity and Access Management (IAM) systems and knowledgeable about security best practices.

• Experience implementing Internal Developer Platforms like Backstage.

• Working knowledge of site reliability engineering (SRE) principles such as implementing Service Level Objectives (SLOs).

• You ❤️ open source.

About the Role

Together AI is looking for a Senior Data Engineer to help define, build, and operate the data infrastructure that handles millions of events every day to power Together’s mission-critical systems. As a Senior Data Engineer, you will work with our Data and Commerce engineering team to scale the data processing components of Together’s usage-based billing system, real-time customer-facing analytics product, and internal business intelligence tools. You will work across both cloud-native services and globally distributed data centers.

If you thrive in fast-paced environments and have a passion for defining and building early-stage data platforms for a rapidly scaling and data-intensive company, this is for you.

Requirements

• 5+ years of demonstrated experience in building large scale, fault tolerant, distributed data platforms, stream processing pipelines, ETLs, etc
• Expert-level skills in designing, building, and operating stream processing pipelines with services like AWS Kinesis, Apache Kafka, or Redpanda
• Expert-level knowledge of building real-time customer facing analytics systems using services like AWS TimeStream or Clickhouse
• Proficiency in writing and maintaining Infrastructure as Code (IaC) using tools like Terraform, AWS CDK, or Pulumi
• Proficiency in version control practices and integrating IaC with CI/CD pipelines.
• Proficiency in implementing and managing GitOps workflows with tools such as ArgoCD, Github Actions, TeamCity, or similar
• Proficiency in one or more of Golang, Rust, Python, Java, or TypeScript
• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience
• Experience with Kubernetes, or containers a plus

Responsibilities

• Identify, design, and develop foundational data infrastructure components capable of handling millions or billions of events daily
• Analyze and improve the robustness and scalability of existing data processing infrastructure
• Partner with product teams to understand functional requirements and deliver solutions that meet business needs
• Write clear, well-tested, and maintainable infra-as-code and software for both new and existing systems
• Conduct design and code reviews, create developer documentation, and develop testing strategies for robustness and fault tolerance
• Participate in an on-call rotation to address critical incidents when necessary

About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure.

Compensation

We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $160,000 - $240,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy  

About the Role

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure.

As a Senior Developer Productivity Engineer at Together AI, you’ll own the systems and tooling that empower engineers to ship high-quality software faster. You’ll optimize workflows, enhance testing, enable reliable and reusable CI/CD, and work with developers to build out stable local environments. Your work will directly impact release velocity, developer happiness, and cross-cutting enablement ensuring engineers spend less time churning on infrastructure and more time building.

Responsibilities

• Automate CI/CD pipelines for zero-downtime deployments (e.g., Canary, Blue/Green).
• Create smart pipelines encouraging reusable workflows and simplicity
• Streamline build/test/deploy workflows.
• Build shared tooling (CLIs, codegen, IDE plugins) to accelerate teams.
• Reduce friction (e.g., faster builds, hot-reload, test tooling).
• Collaborate with developers to identify pain points and streamline workflows.
• Champion best practices through documentation.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or related field or 5+ years of industry experience in DevOps/SRE, developer tooling, or infrastructure engineering.
• Proficiency in Python, Go, and JavaScript/TypeScript (for tooling, automation, and FE enablement).
• Strong experience with CI/CD tools (GitHub Actions, ArgoCD, Gitops methodology) for building scalable, reusable pipelines.
• Experience with local dev environment tooling (e.g., Skaffold) and containerized development workflows
• Experience with creating starter templates in coordination with engineering for enabling rapid spin up of new services 
• Strong ownership and a builder mindset, you love creating tools others rely on.
• Problem-solving rigor and attention to detail (e.g., diagnosing flaky tests, build latency).

Nice to have

• Kubernetes expertise (EKS, K3s) and optimizing containerized builds.
• Infrastructure as Code (Terraform, Ansible, Pulumi).
• Front-end tooling familiarity (e.g., React, Next.js, Jest) to optimize FE dev workflows.
• Monitoring/observability (Prometheus, Grafana, Honeycomb) to debug bottlenecks.

Compensation

We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $150,000 - $230,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy

About the Role

Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art AI cloud infrastructure.

As a Senior AI Infrastructure Engineer, you will play a key role in building the next generation AI cloud platform – a highly available, global, blazing-fast cloud infrastructure that virtualizes cutting-edge ML hardware (GB200s/GB300s, BlueField DPUs) and enables state-of-the-art ML practitioners with self-serve AI cloud services, such as on-demand + managed Kubernetes and Slurm clusters. This platform serves both our internal SaaS products (inference, fine-tuning) and our external cloud customers, spanning dozens of data centers across the world.

Responsibilities

• Design, build, and maintain performant, secure, and highly-available backend services/operators that run in our data centers and automate hardware management, such as Infiniband partitioning, in-DC parallel storage provisioning, and VM provisioning.
• Design and build out the IaaS software layer for a new GB200 data center with thousands of GPUs.
• Work on a global multi-exabyte high-performance object store, serving massive datasets for pretraining.
• Build advanced observability stacks for our customers with automated node lifecycle management for fault-tolerant distributed pretraining.
• Perform architecture and research work for decentralized AI workloads
• Work on the core, open-source Together AI platform
• Create services, tools, and developer documentation
• Create testing frameworks for robustness and fault-tolerance

To be successful, you’ll need to be deeply technical and possess excellent communication, collaboration, and diplomacy skills. You have strong fundamental software development skills. In addition, you have strong systems knowledge and troubleshooting abilities. 

Requirements

• 5+ years of professional software development experience and proficiency in at least one backend programming language (Golang desired)
• 5+ years experience writing high-performance, well-tested, production quality code
• Demonstrated experience with building and operating high-performance and/or globally distributed micro-service architectures across one or more cloud providers (AWS, Azure, GCP)
• Excellent communication skills – able to write clear design docs and work effectively with both technical and non-technical team members
• Deep experience with Kubernetes internals a big plus, such as implementing non-trivial Kubernetes operators, device/storage/network plugins, custom schedulers, or patches thereon or Kubernetes itself
• Deep experience with VMs/hypervisors a big plus, such as QEMU/KVM, cloud-hypervisor, VFIO, virtio, PCIE passthrough, Kubevirt, SR-IOV
• Deep experience with DC networking tech + solutions a big plus, such as VLAN, VXLAN, VPN, VPC, OVS/OVN
• Experience with Cluster API or similar a big plus
• Experience working on high-performance compute, networking, and/or storage a big plus
• Experience virtualizing GPUs and/or Infiniband a big plus
• Strong systems knowledge across compute, networking, and storage, including concurrency, memory management, performant I/O, and scale
• Experience with infrastructure automation tools (Terraform, Ansible), monitoring/observability stacks (Prometheus, Grafana), and CI/CD pipelines (GitHub Actions, ArgoCD)
• Experience building IaaS or PaaS systems at scale a plus
• Experience with DPUs/SmartNICs a plus
• GPU programming, NCCL, CUDA knowledge a plus 

About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.

Compensation

We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $160,000 - $230,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy  

Senior Security Engineer

Our Engineering Standards at Karbon:

Balance Speed and Quality

Engineers are expected to balance delivery speed with a strong commitment to quality, meeting agreed timelines while producing reliable, maintainable, and well-tested solutions. Sound judgment in making trade-offs between velocity and long-term sustainability is essential.

Collaborate Effectively

Engineering is collaborative by default. Team members are expected to contribute constructively in design discussions, reviews, and planning, communicate clearly about progress and risks, and support shared team outcomes in both hybrid and distributed environments.

Build and Maintain Systems

Engineers are responsible for building new capabilities while maintaining and improving existing systems. This includes designing scalable solutions, reducing technical debt, supporting operational stability, and contributing to continuous improvement.

Operate with Autonomy

A high degree of autonomy is expected. Given clear objectives, engineers should independently translate problems into actionable technical approaches, proactively identify improvements, and continuously expand relevant technical expertise.

Ownership and Accountability

Ownership is fundamental. Engineers are accountable for the quality, performance, and customer impact of their work from design through post-release support, and are expected to follow through on commitments.

AI-Enabled Engineering

AI is reshaping how software is built, and we are committed to leveraging it as a force multiplier for creativity, impact, and capability. Engineers are expected to confidently apply strong technical fundamentals while embracing AI tools and approaches to enhance productivity, problem-solving, and innovation. Curiosity, adaptability, and enthusiasm for integrating AI into meaningful product development are essential.

Contribute to Team Culture

Engineers contribute positively to a culture of professionalism, transparency, low bureaucracy, and mutual respect, strengthening team performance through authenticity, curiosity, and collaboration.

About the Role! 

Seeking a development & cloud focused Senior Security Engineer to join our expanding security team.

The ideal candidate will have passion for AppSec, Cloud and AI. They will be a skilled communicator and relationship builder capable of promoting and building security practices across the organization and into our development processes.

AI is reshaping practices across the board and at Karbon we’re fully committed. We don’t see AI as a replacement but as a force multiplier. We’re looking for Security Engineers who are confident in network & security fundamentals, driven to grow, and excited by the challenges and opportunities AI brings.

What You’ll Own:

• Partner with different areas within Karbon - You will make sure security is embedded from the start from feature design and development to participating in design reviews and threat modelling.
• Balance Security and Delivery - You know how to balance delivery needs with security and can communicate security risks and issues to non technical stakeholders. You understand when it's important to push back, when to compromise and how to work with delivery teams to reach a great outcome.
• You keep up to date on the latest technologies and approaches - You are excited by the new developments such as AI bring to security but also understand the importance of security foundational practices such as good account hygiene, least privilege, attack surface reduction and MFA.
• Identify and assess security risks introduced by AI tools - You’ll assist with reviewing the risks of AI tooling usage & Integration and AI-generated code.
• Apply AI-assisted tooling to accelerate security work - you understand the impact AI can have and utilize it across many areas including triage, threat detection, code review, and documentation.
• Flexibility and confidence to work across multiple security domains - We’re a small team responsible for Security at a fast moving company and you’ll get exposure to many different security domains; you could be assisting with refining and investigating corporate IT security processes in the morning, reviewing a cloud hosted system after lunch and then tweaking detection rules!
• Work effectively as part of a team - Security is a team sport and you understand the need to build relationships and trust across the organization to enhance Karbon’s security posture. You are happy to answer questions and offer advice to teams that will reach out for your assistance.
• Own your work - You take pride in your work, feeling a deep sense of responsibility for the products we develop and ensuring we keep our customers' valuable data secure. This sense of ownership is paramount, and you share this commitment.
• Bring your passion and personality - Your creativity, curiosity, and authentic self make the team stronger. If you've worked in highly political environments, you'll find our culture, free from office politics and valuing openness and authenticity, a refreshing change.
• Help us measure improvement and steer our roadmap - Contribute to Security Metrics so we can track progress and feedback into our roadmap.

What Sets You Apart

4+ years experience in a security or development role across most of the following:

• Collaborating with teams to review designs & implementations for security issues and embedding good security practices across software development
• Triaging issues and reports, assisting teams to remedy items and testing fixes
• Working with external penetration test companies to validate and prioritize findings
• Conducting risk and vulnerability assessments of web applications and APIs and third party suppliers and integrations
• Configuring and tuning SAST, SCA and DAST Tooling
• Working with build/deployment pipelines to incorporate security tooling (Github Actions or Azure Devops YAML based pipelines)
• Assisting with implementing security focused alerting and detections and automations
• Conducting and facilitating organizational & developer focused security training
• Assisting with operational security items such as EDR alerts and MDM
• Contributing to our security roadmap

In addition you’ll need:

• Strong communication skills (spoken and written) 
• Some of the following Languages/Frameworks: Microsoft .NET/C#, JavaScript (we use React and EmberJS frameworks and, Python)
• At least one cloud platform: Azure, AWS or GCP (we use Azure predominantly)
• Working knowledge of PowerShell or Bash and Python
• Working knowledge of at least one AI development tool e.g. Claude Code, GitHub Co-Pilot etc
• Portswigger Burp or similar
• Certifications such as Offsec OSCP & AWAE, GIAC, Burp Practitioner, PJPT, Microsoft/AWS development and cloud related are nice to have
• Experience with securing AI applications, systems and AI tooling would be highly regarded

Why Work at Karbon?

• Gain global experience across Australia, New Zealand, UK, and Canada
• Strong benefits package including:
• Flexible Time Off with an encouraged 4 weeks use per year
• Company paid medical for you and eligible spouse/partner and dependents
• Paid dental and vision and eligible spouse/partner and dependents
• 401(k) with company matching
• Flexible Spending Account
• Up to 8 weeks paid parental leave
• Work-from-home stipend
• Work with (and learn from) an experienced, high-performing team
• A collaborative, team-oriented culture that embraces diversity, invests in development and provides consistent feedback
• Be part of a fast-growing company that firmly believes in promoting high performers from within

About Black Forest Labs

We’re the team behind Latent Diffusion, Stable Diffusion, and FLUX—foundational technologies that changed how the world creates images and video. We’re creating the generative models that power how people make images and video—tools used by millions of creators, developers, and businesses worldwide. Our FLUX models are among the most advanced in the world, and we’re just getting started.

Headquartered in Freiburg, Germany with a growing presence in San Francisco, we’re scaling fast while staying true to what makes us different: research excellence, open science, and building technology that expands human creativity.

Why This Role

You'll design, deploy, and maintain the ML infrastructure backbone that makes frontier AI research possible. This isn't abstract systems work—every decision you make directly impacts whether a multi-week training run succeeds, whether inference stays fast enough for production, whether researchers can iterate quickly or wait hours for resources.

What You’ll Work On 

You'll be the person who:

• Designs, deploys, and maintains cloud-based ML training clusters (Slurm) and inference clusters (Kubernetes) that researchers and products depend on
• Implements and manages network-based cloud file systems and blob/S3 storage solutions optimized for ML workloads at scale
• Develops and maintains Infrastructure as Code (IaC) for resource provisioning—because manual configuration doesn't scale and configuration drift breaks things
• Implements and optimizes CI/CD pipelines for ML workflows, making it easy for researchers to go from experiment to production
• Designs and implements custom autoscaling solutions for ML workloads where standard approaches fall short
• Ensures security best practices across the ML infrastructure stack without creating friction that slows down research
• Provides developer-friendly tools and practices that make ML operations efficient—because infrastructure that's hard to use doesn't get used

What We’re Looking For

You've built and managed ML infrastructure at scale and understand that supporting AI research is fundamentally different from traditional cloud infrastructure. You've been paged because a training run failed. You've debugged why storage became the bottleneck. You know the difference between infrastructure that works in demos and infrastructure that works when researchers depend on it for months-long experiments.

You likely have:

• Strong proficiency in cloud platforms (AWS, Azure, or GCP) with focus on ML/AI services—you know which services matter and which are marketing
• Extensive experience with Kubernetes and Slurm cluster management in production environments
• Expertise in Infrastructure as Code tools (Terraform, Ansible, etc.) and the discipline to actually use them
• Proven track record managing and optimizing network-based cloud file systems and object storage for ML workloads
• Experience with CI/CD tools and practices (CircleCI, GitHub Actions, ArgoCD, etc.) in ML contexts
• Strong understanding of security principles and best practices in cloud environments—without making security the enemy of velocity
• Experience with monitoring and observability tools (Prometheus, Grafana, Loki, etc.) that help you understand what's actually happening
• Familiarity with ML workflows and GPU infrastructure management—you understand what researchers need
• Demonstrated ability to handle complex migrations and breaking changes in production environments without losing data or breaking experiments

We'd be especially excited if you:

• Have experience building custom autoscaling solutions for ML workloads that standard tools can't handle
• Bring knowledge of cost optimization strategies for cloud-based ML infrastructure (because GPU hours add up)
• Are familiar with MLOps practices and tools
• Have experience with high-performance computing (HPC) environments
• Understand data versioning and experiment tracking for ML
• Know network optimization techniques for distributed ML training
• Have worked with multi-cloud or hybrid cloud architectures
• Are familiar with container security and vulnerability scanning tools

How We Work Together

We’re a distributed team with real offices that people actually use. Depending on your role, you’ll either join us in Freiburg or SF at least 2 days a week (or one full week every other week), or work remotely with a monthly in-person week to stay connected. We’ll cover reasonable travel costs to make this possible. We think in-person time matters, and we’ve structured things to make it accessible to all. We’ll discuss what this will look like for the role during our interview process.

Everything we do is grounded in four values:

• Obsessed. We are a frontier research lab. The science has to be right, the understanding deep, the product beautiful.
• Low Ego. The work speaks. The best idea wins, no matter who said it. Credit is shared. Nobody is above any task.
• Bold. We take the ambitious bet. We ship, we do not wait for conditions to be perfect.
• Kind. People over politics. We treat each other with genuine warmth. Agency without empathy creates chaos.

If this sounds like work you’d enjoy, we’d love to hear from you.

Base Annual Salary: $180,000–$300,000 USD

We're based in Europe and value depth over noise, collaboration over hero culture, and honest technical conversations over hype. Our models have been downloaded hundreds of millions of times, but we're still a ~50-person team learning what's possible at the edge of generative AI.

About ROLLER

ROLLER is not your average software-as-a-service company. With a global presence in over 30 countries, we're here to bring some excitement to the leisure and attractions industry and make a difference! Our mission is to help businesses operate smoothly and create fun and memorable guest experiences by providing seamless ticketing, point-of-sale, self-serve kiosks, memberships and digital waiver processes.

But here's the best part: our team. We're a group of 300+ highly passionate, enthusiastic, and down-to-earth professionals located all around the world who are all working together to build something truly remarkable. We're aiming high and believe that the possibilities are endless. As we continue to grow globally, we're excited to write our success story and have fun along the way.

We genuinely love what we do, and we're looking for like-minded people to join us on this amazing journey. If you're ready to be part of a dynamic team and make a real impact, come aboard, and let's create some unforgettable experiences together at ROLLER!

About the Role

We are seeking a highly technical, hands-on Senior Data Engineer to architect and scale our data infrastructure from the ground up. As a core member of the data function within our Business Technology team, you will be responsible for building the pipelines and models that power smarter decision-making and operational efficiency across the entire organization.

In this foundational role, you will build & architect the modern data stack, ensuring our infrastructure is robust, automated, and governed. You collaborate as a technical partner with GTM ,Product, Finance, P&C to build high-performance data models and pipelines that transform raw data into actionable cross-functional insights.

Joining ROLLER at this pivotal growth stage, you will have the opportunity to make an outsized impact on our technical landscape, directly influencing how we process data to deliver world-class experiences for our customers globally.

What You'll Do

• Scalable Architecture: Design and implement robust Data Modeling and Architecture strategies that support high-volume data processing and maintain long-term scalability.
• Cloud Ecosystem: Develop and manage end-to-end data pipelines using Google Cloud Platform services, specifically leveraging Cloud Run, Cloud Function for compute, BigQuery for storage, and Cloud Composer (Airflow) for orchestration.
• Transformation Excellence: Build, maintain, and document complex data transformation layers using DBT (Data Build Tool) to ensure high data quality and reliability.
• Infrastructure as Code: Automate the provisioning of cloud resources using Terraform and streamline deployment workflows via GitHub Actions CI/CD pipelines.
• Cloud Data Warehousing: Demonstrate expert-level proficiency in managing and optimizing Cloud Data Warehouses, such as Snowflake & BigQuery.
• Team Collaboration: Partner with cross-functional stakeholders to build and scale high-performing data infrastructure that supports engineering, analytics, and Data Program needs.
• Stack Management: Architect and maintain a modern data stack by implementing best-in-class tools including Snowflake, Bigquery, dbt, Fivetran, Looker, Tableau and Airflow.
• Pipeline Engineering: Develop scalable ETL/ELT workflows and robust data models to deliver real-time analytics and unified business reporting.
• Data Visualization: Create and maintain intuitive, high-performance Looker dashboards will be an added advantage.

About You

You are a technical builder who views data as a competitive advantage. You thrive in fast-paced environments and have a proven track record of engineering scalable data foundations from the ground up. Equal parts architect and analytical problem-solver, you excel at balancing long-term technical vision with the daily hands-on execution of complex pipelines.

You are energized by the full lifecycle of data—moving beyond just writing code to actively leading project discovery and analysis alongside cross-functional partners. You take pride in enabling GTM, Product, Finance & P&C teams through clear insights and high-performance systems. Most importantly, you are excited to act as a founding technical force for a high-growth SaaS company that is transforming the guest experience for attractions businesses globally.

• 5+ years of experience in Data & Analytics or Data Engineering with a focus on Scalable cloud driven data pipeline build

• Proven experience in dimensional modeling (Star/Snowflake schema) and designing architectures that support both historical reporting and real-time needs.
• Expert-level proficiency in Snowflake or BigQuery, including performance tuning, cost optimization, and access control (RBAC).
• Hands-on experience with Google Cloud Platform services, specifically Cloud Function, Cloud Run for containerized workloads and Cloud Composer for orchestration.

• Through hands-on experience of dbt (Data Build Tool) to manage transformations, including writing custom macros, implementing tests, and generating documentation.
• Solid experience using Terraform to provision cloud resources, ensuring that infrastructure is version-controlled and reproducible.
• Proficiency in GitHub Actions to automate testing and deployment pipelines for data models and infrastructure.
• Ability to design high-performance dashboards that prioritize user experience and fast load times.

• Experience collaborating with Finance, GTM, and Product to define key metrics (like CAC, LTV, or Churn) and codifying them into the data layer.
• Familiarity with data ingestion tools like Fivetran , Airbyte, Workato, Mulesoft to sync data from various SaaS platforms into the warehouse.

• Operates as a full-stack Data Engineer with the technical authority to architect and build entire data lifecycles, from raw source ingestion to high-impact data visualization.
• Familiarity with business-critical systems like Salesforce, Chargbee, Gainsight, and product analytics tools.
• Strong communicator with a track record of working across technical and non-technical teams to drive alignment.
• You have a high appetite for Technology and AI and a natural curiosity for how it can transform your work. You’re comfortable using AI tools to automate repetitive 'busy work,' freeing you up to focus on high-impact work.

We believe AI is a career-defining inflection point. ROLLER is a fast adopter of new technology like AI, and every team member is empowered to own their learning and use the latest tools to supercharge their impact. We’re looking for candidates with the proficiency and curiosity to embrace AI and technology — not just as a technical skill, but as a core competency to help us achieve big goals

Preferred Qualifications

• Experience partnering with IT or Business Technology teams to drive cross-functional outcomes.
• Exposure to customer success and revenue workflows, such as onboarding journeys, renewal metrics, or support analytics.
• Familiarity with AI/ML pipelines and experimentation frameworks that support data-driven innovation.

Perks!

• You'll get to work on a category-leading product that customers love in a fun, high-growth industry! Check our Capterra and G2 reviews.
• ROLLER Recharge days to celebrate and recharge once we've hit our goals
• Engage in our 'Vibe Tribe' - led by our team members; you can contribute to company-wide initiatives directly. Regular events and social activities, fundraising & cause-related campaigns...you name it. We're willing to make it happen!
• Team Member Assistance Program to proactively support our team's health and wellbeing - access to coaching, education modules, weekly webinars, and more.
• 16 weeks paid Parental Leave for primary carers and 4 weeks paid Parental Leave for secondary carers.
• Work with a driven, fun, and switched-on team that likes to raise the bar in all we do!
• Individual learning & development budget plus genuine career growth opportunities as we continue to expand!

What You Can Expect

1. Initial call with our Talent Acquisition Manager
   You'll have an initial call with our Talent Acquisition Manager to chat through some of your experience to date, salary expectations and you can check off any initial questions you might have.
2. Interview with the Hiring Manager
   You'll get to meet with the hiring manager to learn more about the role & ROLLER whilst also talking through your experience in more detail.
3. Loop Interviews
   This is where you will get to meet our wider ROLLER team to do a 'vibe check' on us to make sure our culture & vibe meet what you are looking for!
4. Offer
   If all lights are green and the fit feel right, we'll conduct reference checks and you'll receive an offer to join!

The ideal candidate is local to and interested in working from any of our offices (Silver Spring, NYC, SF, Miami, Denver) local to them 1-2x per week.

ABOUT ROCKET MONEY 🔮

Rocket Money’s mission is to meaningfully improve the financial prosperity of millions of people. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.

ABOUT THE TEAM 🤝

Team Boost sits at the intersection of user-facing performance and developer productivity. We make Rocket Money fast and reliable for the millions of people who use it, and we make the codebase a joy to work in for the engineers who build it. We own the tooling, infrastructure, and best practices that help every engineer at Rocket Money ship faster and with more confidence.

If you're the kind of engineer who gets excited about shaving milliseconds off app startup time, seconds off a critical database query, and minutes off a colleague’s feedback loop, this is the team for you. The unique challenge of Team Boost is holding developer experience and user experience in alignment, and we hold a sincere belief that the best outcomes happen when we make it easy for engineers to build performant software by default.

IN THIS ROLE, YOU'LL:

• Make the right thing the easiest thing: Identify developer friction points like slow type-checking, confusing test infrastructure, or painful onboarding and eliminate them through documentation, tooling, and automation.
• Lead large-scale initiatives with precision and clarity: Write RFCs for projects related to our mission, build consensus across teams, and systematically execute architectural changes across the codebase.
• Hunt down performance bottlenecks across the full stack: profile, instrument, and resolve issues spanning client rendering performance, GraphQL latency, and database query performance.
• Raise quality and confidence through automation: Improve code quality across the engineering organization by authoring custom lint rules, maintain code generation pipelines that ensure type safety across packages, tune and maintain CI workflows to be both thorough and fast, and ensure that quality gates catch real issues rather than slow developers down.
• Keep the foundation solid: Upgrade and maintain critical dependencies across a large dependency graph by navigating breaking changes in tools and manage pnpm catalogs, patches, and overrides to keep ~20 packages building cleanly.

ABOUT YOU 🦄

• You have 5+ years of professional experience working with some combination of Node/TypeScript, React, React Native, GraphQL, and Postgres (or similar relational database).
• You have a passion for performance and observability: improving load times, digging into metrics and traces to diagnose issues, or speeding up CI pipelines all sound like fulfilling projects. Experience with GitHub Actions, E2E testing frameworks, or mobile-specific concerns like over-the-air updates and native build tooling is a plus.
• You're comfortable working across the full stack and diving deep into unfamiliar systems to understand how they work and how to make them better, whether that’s tracing a performance regression through GraphQL resolvers, ORM models, or caching layers. Bonus points for hands-on experience with large-scale TypeScript + GraphQL stacks and pnpm workspaces.
• You've led or participated in large-scale codebase migrations where “just rewrite it” wasn’t an option. You understand the technical and social challenges that come with new tooling and processes, and how to break massive changes into safe, incremental steps.
• You're both a student and a teacher, curious about new tools and technologies, eager to share what you learn through RFCs and technical strategy docs, and energized by the ambiguity that comes with a growing engineering organization.
• You think about developer feedback loops as a product: how long does it take from saving a file to seeing the result, from pushing a commit to getting CI feedback, and you thrive on measuring these processes and then working to systematically shrink them.

WE OFFER 💫

• Health, Dental & Vision Plans
• Life Insurance
• Long/Short Term Disability
• Competitive Pay
• 401k Matching
• Team Member Stock Purchasing Program (TMSPP)
• Learning & Development Opportunities
• Tuition Reimbursement
• Unlimited PTO
• Daily Lunch, Snacks & Coffee (in-office only)
• Commuter benefits (in-office only)

Additional Information: Salary range of $150,000 - $185,000/year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.

Rocket Money is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

P-2679_3410281

About the Role

We are seeking an experienced Senior Engineering Manager, Apple Core to lead the development and maintenance of the shared systems, tools, and pipelines that power our iOS, tvOS, and visionOS applications. This role is pivotal in driving the technical vision, roadmap, and operational excellence of our Apple platform infrastructure. You will lead an accomplished group of engineers focused on scalability, reliability, performance, and developer efficiency — enabling our feature teams to deliver best-in-class experiences to millions of users.

As the Senior Engineering Manager, Apple Core, you will mentor, inspire, and grow the team while ensuring we deliver robust, high-quality infrastructure that supports business goals and technical standards. You will have ownership over platform-wide systems, CI/CD pipelines, monitoring and alerting solutions, and developer tooling. You will be a key contributor to strategic technical decisions and will partner closely with engineering leadership to shape the future of our Apple ecosystem.

This is a hybrid position and we are considering applicants for the location(s) of Los Angeles, CA or San Francisco, CA. You will report to the Director of Engineering, Apple and Android Platforms.

Responsibilities

• Run the day-to-day operations of the infrastructure engineering team and manage agile ceremonies such as grooming, sprint planning, daily stand-ups, and retrospectives.
• Lead and mentor a team of engineers to adopt and maintain best practices, platform architecture standards, and scalable infrastructure solutions, fostering a collaborative work environment.
• Define and execute the roadmap for shared Apple platform infrastructure, ensuring alignment with business objectives and the needs of dependent feature teams.
• Work closely with stakeholders and cross-functional teams to gather requirements, prioritize improvements, and communicate project progress and operational updates.
• Manage project timelines, resource allocation, and budgeting to ensure delivery of infrastructure initiatives.
• Implement and maintain CI/CD pipelines, automated testing frameworks, and performance monitoring solutions to optimize development velocity and product stability.
• Drive operational excellence by managing system incidents, performing root cause analyses, and implementing long-term preventative measures.
• Monitor system performance, identify bottlenecks, and lead performance optimization efforts across the Apple platform stack.
• Conduct regular one-to-one meetings with team members to provide feedback, support career development, and maintain high team morale and productivity.
• Lead hiring and onboarding efforts to attract top infrastructure talent and expand the team's capabilities.

Key Qualifications

• Proven experience managing infrastructure or platform engineering teams, preferably in the Apple ecosystem (iOS, tvOS, visionOS).
• Strong technical background in CI/CD tooling (e.g., Jenkins, GitHub Actions, Bitrise, CircleCI) and automation best practices.
• Hands-on experience with build systems, dependency management, and artifact distribution for Apple platforms (e.g., Xcode Cloud, Fastlane, xcframeworks).
• Proficiency with monitoring and observability tools (e.g., Datadog, New Relic, Grafana, Prometheus) and alerting best practices.
• Deep understanding of performance profiling, crash reporting, and optimization strategies for Apple applications.
• Strong incident management skills, including root cause analysis and postmortem facilitation.
• A track record of mentoring and developing engineering talent.
• Exceptional communication skills for collaborating with technical and non-technical stakeholders.
• Familiarity with modern agile practices and a track record of delivering infrastructure initiatives on time and within budget.

Why you will love working at Crunchyroll

In addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks:

#LifeAtCrunchyroll #LI-Hybrid

The Staff CI/CD Engineer is pivotal in transforming our CI/CD landscape to enhance developer efficiency across the organization. You will architect, develop, and operate high-performance CI/CD pipelines that align with our mission to provide an unparalleled development environment, driving innovation and stability for our large-scale applications.

This role is based in our San Francisco office with an office-centric hybrid schedule. Along with most Asanas, you’ll work from this office in person on Mondays, Tuesdays, and Thursdays. Most Asanas have the option to work from home on Wednesdays and Fridays. If you're interviewing for this role, your Talent Acquisition Partner will share more about the in-office requirements. 

Key Responsibilities:

• Lead the design and implementation of CI/CD pipelines that support both continuous integration and deployment, ensuring world-class build, test, and release processes.
• Architect automated deployment frameworks that facilitate zero-downtime releases and rapid iteration cycles for our software products.
• Collaborate with cross-functional teams, including Security, Infrastructure and Product teams, to integrate advanced automated testing and robust reporting systems, enhancing our CI/CD workflows.
• Mentor fellow engineers in best practices for CI/CD, fostering a culture of continuous improvement and learning.
• Spearhead multi-quarter strategic initiatives, improving CI/CD infrastructure reliability, scalability, and performance.
• Stay abreast of the latest trends and technologies in CI/CD and DevOps, recommending and implementing improvements to our systems. Be a force multiplier by integrating AI tooling into the development lifecycle at Asana. 

Qualifications:

• 6+ years of professional experience in software engineering, with significant experience focused on CI/CD in large-scale environments.
• Demonstrated expertise in designing and implementing distributed systems and reliable infrastructure.
• A deep understanding of CI/CD tools and processes, with hands-on experience using platforms like Jenkins, GitHub Actions, or equivalent. 
• Proficient in scripting and programming languages such as Python, Bash, and familiar with infrastructure as code tools like Terraform. Proven experience working with AI tooling and integrations (eg: Claude, Cursor, MCP servers).
• Experience with cloud platforms (AWS, Google Cloud, Azure) and container orchestration systems like Kubernetes.
• Strong advocate for developer productivity with a proven track record of building efficient, scalable CI/CD pipelines.
• Excellent leadership and mentorship skills, with a collaborative and innovative mindset.
• Experience working in fast-paced, agile development environments.

Preferred Qualifications:

• Proficiency with managing build systems and frameworks for large monorepos. Preferred experience in Bazel.
• Familiarity with some of infrastructure, Python, AWS, and JavaScript/TypeScript.
• Understanding of progressive delivery techniques such as feature flags, blue-green deployments, and canary releases.
• Active contributor to open source projects or previous experience with large-scale software development at a leading tech company.

About You:

• You are driven by a passion for CI/CD and possess a deep commitment to enhancing developer experiences.
• You excel in a collaborative team setting, valuing diverse perspectives and contributions.
• You are proactive, taking initiative to solve complex systems challenges and drive impact across the organization.
• Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.

At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.

What we’ll offer

Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. 

For this role, the estimated base salary range is between $248,000 - $282,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.

In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:

• Mental health, wellness & fitness benefits
• Career coaching & support
• Inclusive family building benefits
• Long-term savings or retirement plans
• In-office culinary options to cater to your dietary preferences 

These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

#LI-Hybrid

About the Role

Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand.

Developer Productivity owns the end-to-end experience of how engineers and researchers at Anthropic develop, build, test, and ship code at scale — from the source control and language ecosystems that underpin our monorepo, to the build and CI infrastructure that keeps thousands of daily builds running reliably across multiple cloud providers, to the developer acceleration tooling that deeply integrates Claude into engineering workflows.

Team Matching: Team matching is determined after the interview process based on interview performance, interests, and business priorities. Please note we may also consider you for different Infrastructure teams. 

Responsibilities:

• Own the technical strategy and roadmap for your area, translating team-level goals into concrete execution plans
• Define infrastructure architecture, ensuring the hardest problems get solved — whether by you directly or by working through others
• Design and build scalable, reliable distributed infrastructure and shared libraries that support high-volume workloads across all engineering teams
• Own and evolve build environments, package management, and dependency systems to enable fast, reproducible builds
• Define and implement language ecosystem standards, tooling, and frameworks that drive developer productivity across research and production workloads

You may be a good fit if you:

• Have deep experience with build systems, CI/CD pipelines, and/or developer tooling in a large monorepo environment
• Have strong proficiency in Python, Rust and/or Go
• Are obsessed with developer productivity and reducing friction in the software development lifecycle
• Have experience with container orchestration and infrastructure at scale
• Have excellent communication skills and enjoy supporting internal partners to improve their development experience
• Are excited about designing foundational systems and are comfortable working independently on ambiguous, high-impact technical challenges

Strong candidates may have:

• 15+ years (not including internships or co-ops) of experience in a Software Engineer role, building and operating large-scale developer infrastructure
• 3+ years (not including internships or co-ops) of experience leading large scale complex projects or teams as a tech lead
• Experience with CI orchestration tools (Buildkite, Jenkins, GitHub Actions, or similar) and merge queue management at scale
• Experience building or operating remote build execution systems (Bazel Remote Execution API, BuildBarn, BuildBuddy, or similar)
• Experience with Nix/NixOS/Docker and managing large image / package sets at scale
• Experience building CLI tools, developer-facing services, and GitHub API and automation workflows

Deadline to apply: None. Applications will be reviewed on a rolling basis.

Flex is looking for a Staff level Engineer to join our dynamic team and play a pivotal role in accelerating our growth trajectory. In this role, you will be instrumental in developing and scaling the platform and app experiences that empower our users and partners, unlocking our next phase of 10x growth.

What You'll Do:

• Focus on creating exceptional user and partner experiences that drive engagement and retention.
• Partner closely with product managers, designers, and data scientists, data analysts to identify and solve critical user onboarding challenges.
• Design, develop, test, and deploy robust APIs, services and data pipelines that enhance user onboarding and overall platform experience.
• Implement changes through an agile methodology, prioritizing rapid iteration and continuous improvement.
• Utilize data and analytics to measure the impact of your work and identify opportunities for optimization.

Qualifications

Minimum Qualifications

• 7+ years of professional software development experience.
• 3+ years of hands-on experience with Java.
• 3+ years of experience with React or React Native.
• 3+ years of experience with TypeScript.
• Having experience building high-quality mobile and web UIs to specifications is a must to have.
• Proficient in Java frameworks and tools used at Flex, including Spring (core/web/boot), Gradle, JUnit, and JVM (memory/performance tuning, GC).
• Experience with Service-Oriented Architecture, REST APIs, Message Queues, and scalable architectures.
• Experience with architectures and tools in React Native and React ecosystems (Hooks, Components, Context, Redux).
• Experience with AWS (EKS, Aurora RDS, Elasticache, DynamoDB) and containerization tools.

Preferred Qualifications

• Have the experience to build and improve user onboarding funnel and design the comprehensive experiment to drive metric improvements.
• Proficient in CI/CD systems (preferably GitHub Actions), git, and automation.
• Skilled in observability and monitoring tools, such as DataDog, to ensure high availability.
• Experienced with big data platforms and tooling, including Snowflake.
• Proficient in Infrastructure as Code, using tools like CDK and Terraform.
• Skilled at elevating team standards through best practices, and mentoring junior engineers.
• Excellent written and verbal communicator, with experience in cross-functional collaboration.

• Tier A (NYC/SF/Seattle): $200,000—$250,000 USD
• Tier B: $180,000—$225,000 USD
• Tier C: $170,000—$212,000 USD

About the role

Flex is looking for a Senior Software Engineer to join our Risk Engineering team. This role involves spearheading the implementation of platforms and APIs crucial for supporting business features within the risk management domain.

The Risk Engineering team is dedicated to mitigating both credit risk, fraud risk, and risk for launching new products. Our mission is to enhance Flex app accessibility for customers while safeguarding against improper use and unauthorized access by identifying and preventing misuse across all core product areas.

Following are some projects/systems in Risk Platform you will have opportunities to work with:

• Core decision platform which is an end-to-end solution for the enterprise decision management lifecycle, including business rule management, analytics, process management, and ML/AI.
• Event data stream ingestion which supports near real-time fraud rules setup. 
• Advanced a/b testing and experimentation capabilities for our customers so they can leverage greedy algorithms and fight fraud. 

What You'll Do:

• Build decision platform / machine learning solutions to respond to/mitigate business risks in Flex.
• Design and develop 24/7 high-scale APIs and distributed systems. The tech stack will be on AWS. Java would be the language for the existing code base. Java Spring Boot will be the framework. 
• Work closely with product, design, and engineering peers to launch new features across our web and mobile platforms 

Qualifications

Minimum Qualifications

• Must-have: Experience working in a risk engineering team, specializing in rules engine architecture or risk/credit/fraud systems.
• 6+ years of professional software development experience.
• 5+ years of hands-on experience with Java.
• 2+ years of experience with React or React Native.
• 2+ years of experience with TypeScript.
• Having experience building high-quality mobile and web UIs to specifications is a must to have.
• Proficient in Java frameworks and tools used at Flex, including Spring (core/web/boot), Gradle, JUnit, and JVM (memory/performance tuning, GC).
• Experience with Service-Oriented Architecture, REST APIs, Message Queues, and scalable architectures.
• Experience with architectures and tools in React Native and React ecosystems (Hooks, Components, Context, Redux).
• Experience with AWS (EKS, Aurora RDS, Elasticache, DynamoDB) and containerization tools.

Preferred Qualifications

• Proficient in CI/CD systems (preferably GitHub Actions), git, and automation.
• Skilled in observability and monitoring tools, such as DataDog, to ensure high availability.
• Experienced with big data platforms and tooling, including Snowflake.
• Proficient in Infrastructure as Code, using tools like CDK and Terraform.
• Skilled at elevating team standards through best practices, and mentoring junior engineers.
• Excellent written and verbal communicator, with experience in cross-functional collabo

• Tier A (NYC/SF/Seattle): $172,000—$210,000 USD
• Tier B: $154,000—$190,000 USD
• Tier C: $146,000—$180,000 USD

Flex is looking for an Engineer to join our dynamic team and play a pivotal role in accelerating our growth trajectory. In this role, you will be instrumental in developing and scaling the platform and app experiences that empower our users and partners, unlocking our next phase of 10x growth.

What You'll Do:

• Focus on creating exceptional user and partner experiences that drive engagement and retention.
• Partner closely with product managers, designers, and data scientists, data analysts to identify and solve critical user onboarding challenges.
• Design, develop, test, and deploy robust APIs, services and data pipelines that enhance user onboarding and overall platform experience.
• Implement changes through an agile methodology, prioritizing rapid iteration and continuous improvement.
• Utilize data and analytics to measure the impact of your work and identify opportunities for optimization.

Qualifications

Minimum Qualifications

• 5+ years of professional software development experience.
• 3+ years of hands-on experience with Java.
• 3+ years of experience with React or React Native.
• 3+ years of experience with TypeScript.
• Having experience building high-quality mobile and web UIs to specifications is a must to have.
• Proficient in Java frameworks and tools used at Flex, including Spring (core/web/boot), Gradle, JUnit, and JVM (memory/performance tuning, GC).
• Experience with Service-Oriented Architecture, REST APIs, Message Queues, and scalable architectures.
• Experience with architectures and tools in React Native and React ecosystems (Hooks, Components, Context, Redux).
• Experience with AWS (EKS, Aurora RDS, Elasticache, DynamoDB) and containerization tools.

Preferred Qualifications

• Have the experience to build and improve user onboarding funnel and design the comprehensive experiment to drive metric improvements.
• Proficient in CI/CD systems (preferably GitHub Actions), git, and automation.
• Skilled in observability and monitoring tools, such as DataDog, to ensure high availability.
• Experienced with big data platforms and tooling, including Snowflake.
• Proficient in Infrastructure as Code, using tools like CDK and Terraform.
• Skilled at elevating team standards through best practices, and mentoring junior engineers.
• Excellent written and verbal communicator, with experience in cross-functional collaboration.

• Tier A (NYC/SF/Seattle): $172,000—$210,000 USD
• Tier B: $154,000—$190,000 USD
• Tier C: $146,000—$180,000 USD

We are seeking an Account Partner, Professional Services to define and scale Professional Services growth strategies, drive organizational excellence, and establish measurable customer outcome frameworks across PagerDuty's enterprise and strategic customer segments. This role owns the evolution of our services go-to-market motion, architects repeatable engagement models, and partners with Sales, Customer Success, Solutions Engineering, Delivery, Product, and Marketing leadership to align advisory, implementation, enablement, and automation services to market needs spanning incident response, AIOps, and service ownership.

The ideal candidate is a strategic leader and consultative seller who builds organizational capabilities, defines best practices that scale across the Professional Services team, translates market insights into service innovation, and consistently drives portfolio-level growth, customer outcomes, and team effectiveness.

Job Responsibilities

Pipeline Development & Selling Motion

• Architect and execute multi-threaded Professional Services strategies within strategic and enterprise accounts; orchestrate 2–12 week services deal cycles with executive alignment and commercial rigor.
• Consistently meet or exceed services bookings, attach-rate, and consumption targets while driving predictable pipeline generation and velocity metrics.
• Lead discovery to map business-critical pains (noise, toil, on-call fatigue, change risk, slow comms) to differentiated service offerings, scoped SOWs, and multi-phase engagement roadmaps.
• Deliver compelling value narratives (ROI, time-to-value, risk mitigation, competitive differentiation) tailored to C-level and VP stakeholders across IT, Engineering, and Operations.

Account Strategy & Customer Value

• Co-architect account strategies with Account Executives, CSMs, and Solutions Engineers to align enterprise business outcomes with services-led transformation milestones and measurable impact.
• Position services as strategic enablers across incident response maturity, AIOps signal tuning/event orchestration, automation/runbooks, AI-driven operations, and enterprise integrations (e.g., ServiceNow, Jira, Slack/Teams, AWS, Datadog, New Relic, Splunk, GitHub/GitLab, Terraform).
• Drive adoption and quantifiable business impact (e.g., MTTA/MTTR reduction, toil elimination, developer productivity gains, SLO adherence, operational cost savings) that influence customer renewal and expansion decisions.

Scoping, Pricing & Delivery Orchestration

• Partner with Delivery leadership to architect, price, and resource engagements that balance customer transformation objectives with margin targets and scalable delivery models.
• Ensure seamless handoffs while maintaining commercial ownership; proactively identify and remove blockers, de-risk delivery, and surface follow-on services and expansion opportunities.
• Align SOWs to clear scope, success criteria, measurable acceptance metrics, timeline realism, and strategic value realization frameworks.

Forecasting & Operational Rigor

• Maintain accurate opportunity data, multi-quarter close plans, and forecasts in CRM using structured sales methodologies (e.g., MEDDPICC) and pipeline hygiene discipline.
• Monitor engagement health, entitlement consumption, and customer sentiment to drive timely services utilization, renewal readiness, and proactive expansion motions.
• Provide strategic feedback to Product and Delivery teams to refine packaging, pricing, repeatable delivery frameworks, accelerators, and go-to-market positioning.

Stakeholder Collaboration & Cross-Functional Partnership

• Partner with Sales, Customer Success, Solutions Engineering, Product, and Marketing to sequence services with platform adoption, expansion plays, and customer lifecycle milestones.
• Collaborate on case studies, executive references, and customer success stories that showcase realized outcomes, competitive wins, and services-led differentiation.
• Engage executives across customer and internal teams to build trusted-advisor credibility, influence strategic decisions, and accelerate deal velocity.

Executive Engagement & Thought Leadership

• Facilitate executive workshops, maturity assessments, and strategic roadmap sessions that translate business strategy into actionable, services-led transformation workstreams.
• Educate customers on service ownership best practices, incident lifecycle excellence, AIOps/automation value realization, and operational resilience frameworks.
• Serve as a strategic advisor on digital operations transformation, helping customers navigate organizational change, toolchain consolidation, and platform modernization.

Qualifications

Requirement Qualifications & Skills

• 8+ years in Professional Services sales, solutions consulting, or services leadership within SaaS or enterprise software; proven track record of strategic impact and organizational influence.
• Demonstrated success defining go-to-market strategies, building service offerings, or leading cross-functional initiatives that drive measurable business outcomes.
• Deep expertise in consultative selling: multi-threaded relationship building (C-level to technical), discovery, business case creation, executive storytelling, and complex deal orchestration.
• Strong strategic and analytical skills: ability to synthesize market insights, customer feedback, and operational data into actionable strategies and frameworks.
• Proven ability to mentor, enable, and scale teams: experience creating playbooks, training programs, or best practices that improve collective performance.
• Executive presence and communication: ability to influence senior leadership, facilitate strategic workshops, and represent the company externally.
• Rigorous operational discipline: expertise in sales methodologies (MEDDICC/MEDDPICC), forecasting, pipeline management, and CRM hygiene.
• Technical fluency: ability to translate incident response, AIOps, automation, observability, and integration concepts into quantified business value and risk reduction.

Preferred Qualifications & Skills

• Experience architecting or launching new service offerings, engagement models, or go-to-market motions in a scaling organization.
• Thought leadership experience: published content, conference speaking, or industry recognition in incident management, SRE/DevOps, AIOps, or operational excellence.
• Deep domain expertise in incident response, observability platforms, on-call operations, AIOps signal correlation/tuning, runbook automation, and service ownership best practices.
• Experience selling to and influencing VP Eng, CTO, CIO, SRE/DevOps, IT Ops, and Platform/Cloud leadership in enterprise and strategic accounts.
• Understanding of operational KPIs (MTTA/MTTR, change failure rate, SLO/SLA, toil reduction, developer productivity) and how to design services that measurably impact them.
• Experience leading or contributing to cross-functional strategic initiatives (e.g., partner ecosystem development, vertical market expansion, delivery transformation).
• Willingness to travel for customer meetings, team events, and industry conferences as needed.
• You know and understand our space and actively shape it—you're not just a fan of our products, you influence how the market thinks about operational excellence.

The base salary range for this position is 156,000 - 184,800 USD. This role may also be eligible for bonus, commission, equity, and/or benefits.

Our base salary ranges are determined by role, level, and location. The range, which is subject to change based on primary work location, reflects the minimum and maximum base salary we expect to pay newly hired employees for the position. Within the range, we determine pay for an individual based on a number of factors including market location, job-related knowledge, skills/competencies and experience.

Your recruiter can share more about the specific offerings for this role, as well as the salary range for your primary work location during the hiring process.

PagerDuty is a flexible, hybrid workplace. We embrace and encourage in-person working as an integral part of our culture. Both our employees and external research tells us that co-located collaboration strengthens connections, drives innovation, and accelerates learning.

This role is expected to come into our San Francisco office twice per week, so you can thrive in your new role and fully embrace being a Dutonian!

About the Team

CoreWeave is The Essential Cloud for AI™ — the infrastructure that the world's leading AI labs, researchers, and enterprises depend on. The Developer Experience (DevEx) team owns the platform, services, and systems that enable every engineer at CoreWeave to build and ship software faster, more safely, and with greater confidence. Our scope spans the full developer lifecycle: CI (continuous integration) and build infrastructure, test experience, delivery systems, artifact storage and distribution, internal developer platforms, and the agentic AI tooling that is redefining how engineers move from idea to production.

This is a high-leverage technical leadership role. You won't be operating tooling — you'll be designing and building the platforms other engineers depend on every day. The work you do will directly shape developer velocity, system reliability, and the agentic developer experience across a rapidly scaling engineering organization.

What You'll Do

• Set technical direction for key DevEx platform subsystems. Drive architectural decisions across CI pipeline infrastructure, test experience, artifact management, developer environments, and agentic tooling. Lead multi-quarter initiatives from design through production.
• Design and build the core services that power developer productivity. Build pipeline services, test experience platforms, progressive rollout systems, artifact registries, ephemeral development environments, and the APIs that tie them together.
• Architect and evolve our agentic developer platform. Elevate agentic DevEx capabilities so engineers can delegate development tasks and move faster in an AI-native way.
• Build for real scale. DevEx systems must reliably serve thousands of application instances and engineering workflows across 40+ data centers with diverse infrastructure profiles.
• Mentor Senior I and mid-level engineers, own design reviews, establish engineering patterns, and consistently raise the quality bar across the team.
• Lead post-mortems and drive continuous improvement cycles that harden DevEx systems against failure modes and reduce operational burden for engineering teams.

What We're Looking For

• 7+ years of software engineering experience with building production platforms, developer tooling, delivery infrastructure, or distributed storage systems.
• Strong systems design skills. You think in distributed services, event-driven architectures, and APIs. You approach developer platform problems as software engineering problems, not configuration exercises.
• Proficiency in Go, Python, or similar languages with production experience shipping services in cloud-native environments.
• Deep experience with Kubernetes. You understand how workloads are packaged, scheduled, and managed at the cluster level, and can design platform services that integrate at that layer.
• Experience with or strong technical interest in LLM-integrated developer tooling, such as agent frameworks, MCP-style tools, or AI-assisted developer workflows.
• Proven track record of setting technical direction, making sound architectural trade-offs, and driving engineering decisions that hold up as systems and teams scale.
• Effective cross-functional collaborator. You can align stakeholders, influence without authority, and translate complex technical trade-offs for technical and non-technical audiences alike.
• Experience mentoring engineers and consistently raising the technical quality bar of the teams you work on.

Nice to Have

• Experience building or extending CI and build infrastructure at scale, including GitHub Actions, Buildkite, Bazel, or similar build systems.
• Experience designing and operating progressive delivery systems at scale, including SLO-based quality gates, automated multi-stage pipeline orchestration, and custom Kubernetes operators, across heterogeneous deployment environments.
• Hands-on experience with artifact management, including distributed storage, caching, versioning, or multi-region artifact distribution (e.g. JFrog Artifactory, Cloudsmith, or custom-built systems).
• Direct experience building agentic systems, including MCP servers, tool-augmented LLM workflows, and incorporating these capabilities into DevEx platform features with consistent value-add.

The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

We are looking for a Staff Security Software Engineer who is passionate about detecting and mitigating abuse in the Cloud. 

As a Staff Security Software Engineer at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. This role reports to the Senior Manager of Security Engineering within the Security organization. You should have experience developing and maintaining software systems in a complex, high-scale environment, analyzing outcomes and communicating insights to stakeholders, and rapidly devising solutions that are in alignment with overall business goals. Our team is focused on enabling DigitalOcean to scale safely by building systems that detect and prevent abuse on our platform. We highly value collaboration and growth, and work closely with other teams in the Security organization to deliver high quality solutions and also build tooling to boost their efficiency.

Our customers trust us with their data and operations, and we take that responsibility seriously. Security at DO means solving highly complex problems on a large scale that have real impact for our customers, our products, and for the larger internet community.

What You’ll Do:

• Design, develop, and deploy resilient services and tooling that provide security capabilities at scale, primarily in Go, with some work in Javascript and Python.
• Research and design automated approaches to detecting and actioning abuse and misuse of DigitalOcean products and services.
• Work with product and engineering teams to design and implement secure architectures.
• Design and build internal tools that enable our Security Operations Center to do more, faster.
• Measure the efficacy of our services and tools, using logs, metrics, and audit records, to drive reporting and decision-making, leading to iterative and transformative security improvements as DigitalOcean scales. All while being mindful that security should be an efficiency enabler for the business, not an obstacle.

What You’ll Add to DigitalOcean:

• 8+ years of hands-on experience in software engineering projects, ideally with a security focus, in a complex, high-scale SaaS or IaaS environment. You are an expert in writing robust code with good test coverage and demonstrated success in delivering projects.
• Understanding of cloud-native services and infrastructure provisioning (e.g. compute, storage, networking).
• Deep familiarity with cloud services & infrastructure—compute, storage, network, managed services—and related abuse tactics, including DDoS, spamming, phishing, cryptomining, and bot networks.
• Strong analytical and reporting skills, with proficiency in SQL and data warehouse querying (e.g., Snowflake, Redshift, BigQuery)
• A customer-first mindset—you aim to maximize abuse prevention while avoiding false-positives that could impact high-value customers.
• Excellent communication and documentation skills; you can clearly articulate patterns, mitigation strategies, and tradeoffs to both technical and non-technical stakeholders. You have a record of partnering with internal engineering teams and non-technical stakeholders to gather requirements and tackle security problems across an entire stack with empathy and creativity.
• High integrity, strong judgment, and a track record of working independently on high-impact investigations and policy decisions.

Bonus qualifications:

• Experience with microservice architectures, asynchronous and event-driven processing, and synchronous gRPC/HTTP-based requests.
• Experience in building secure by default services and applications.
• Familiarity with technologies such as gRPC, Docker, Elasticsearch, Prometheus/VictoriaMetrics, Kubernetes, and GitHub Actions.
• Experience with Looker, Snowflake, dbt, and Airflow

Compensation Range: 

• $199,680 - $249,600

*This is a remote role

#LI-Remote

We want people who care about empowering their peers to understand their services.

Observability Platforms is focused on creating visibility into DigitalOcean’s services and infrastructure. We design, build, and operate the internal logging, metrics, distributed tracing, error reporting, monitoring, and alerting platforms that are depended on to ensure good, reliable experiences for DigitalOcean’s customers. Through a mix of open source services and in-house developed software we seek to continuously improve the ability of DigitalOcean engineers and product managers to understand the behavior of their products and services in order to improve the experiences of our customers. 

What You'll Be Doing:

• Integrating and operating open source distributed data systems such as OpenSearch, VictoriaMetrics, Kafka, and Clickhouse
• Implementing features to both improve the operability of our services and help design and implement the next generations of metrics and logging at DigitalOcean.
• Guiding other engineers on how they can best utilize our systems to gain confidence that their services are performing as expected.

What We'll Expect From You:

• Experience running and using distributed databases such as Opensearch, VictoriaMetrics, Clickhouse
• Experience with Kubernetes not just as an end user, but also an operator
• Experience writing software in Golang. Experience with the challenges of concurrency and distributed systems is a plus.
• Experience with DevOps tooling such as Terraform, Ansible, and Github Actions (or other relevant CI/CD experience).
• An ability to work well as part of a geographically distributed team.
• Participation in a 24/7 on call rotation
• Someone who is motivated to learn, teach, grow, explore, and seek out areas we can improve
• Strong communication and customer service skills - we provide support to the internal users of the systems we design, build, and operate. 

Compensation Range: 

• $139,000 - $174,000

*This is a remote role

JR: 2026-7494

#LI-Remote

We are looking for a Senior Software Engineer to join our world-class engineering team. In this role, you will help design and develop cloud-based services and modern web applications that power the next generation of Heartflow technologies, including a new orchestration pipeline, which will drive critical workflows across the company.

You will work cross-functionally with Software Engineers, Product Managers, Quality Assurance, Usability Designers, Process Engineers, and Regulatory to create impactful internal applications and infrastructure. This role offers the opportunity to contribute meaningfully to the design, scalability, and performance of our platforms, while ensuring regulatory compliance in a fast-paced, innovative environment.

Key Responsibilities

• Lead end-to-end feature development across the full technology stack
• Independent, end-to-end ownership of the design, development, testing, and maintenance of robust APIs (Python, AWS), interactive web applications (Django backend and Vue.js frontend), pipeline orchestrations, and associated infrastructure.
• Contribute to the long-term technical roadmap by providing architectural feedback that ensures current systems remain compatible with future orchestration goals.
• Mentor junior engineers and contribute to the technical excellence of our team.
• Make data-driven decisions while practicing creative problem solving.
• Write clean, maintainable, well-documented code with a focus on high-stakes quality, performance, and user experience.
• Improve infrastructure components including orchestration pipelines, test frameworks, and CI/CD workflows.
• Lead the technical integration of emerging tools, such as Agentic AI frameworks, to automate internal developer workflows and improve team velocity.
• Contribute to releases of application deployments and participate in on-call production support as needed.
• Collaborate cross-functionally with Product, Design, and Engineering stakeholders to define and implement product features.
• Participate in code reviews and champion engineering best practices.
• Contribute to a culture of technical excellence, innovation, best practices, and continuous improvement.
• Ensure compliance with FDA regulations for medical software and supporting systems, including documentation and quality assurance processes.

Required Qualifications

• Education:
  • BS in Computer Science or a related technical field + 5 years of experience;
  • OR MS/PhD in Computer Science or related field + 3 years;
  • OR equivalent practical experience as a full-stack software engineer.
• Proficiency in TypeScript or JavaScript.
• Strong development experience with Python.
• Strong cloud development experience (preferably AWS).
• Familiarity with modern web frameworks (Django & Vue.js strongly preferred, but Angular/React is acceptable).
• Deep understanding of backend and frontend security best practices.
• Strong problem-solving skills with the ability to analyze and resolve complex issues.
• Solid grasp of modern software development methodologies including CI/CD, testing, and Agile practices.
• Excellent communication and collaboration skills.

Preferred Qualifications (How You Stand Out)

• Advanced proficiency in:
  • Python, Django, JavaScript, TypeScript, Vue.js
  • Nginx, Pytest, GitHub, GitHub Actions
• Hands-on experience designing and building orchestration pipelines.
• Strong AWS experience with services such as:
  • Kubernetes, CDK, Step Functions, Lambdas, API Gateway, Fargate, ECS, Aurora (MySQL 8.0+)
• Demonstrated success in delivering cloud-native APIs, scalable web apps, and complex distributed systems.
• Experience developing regulated medical software (e.g., Software as a Medical Device) in compliance with FDA

Why Join Heartflow?

• Work on meaningful, life-changing products.
• Collaborate with top-tier engineers and innovators.
• Competitive compensation and benefits.
• Be part of a mission-driven company improving cardiovascular care globally.

If you're passionate about solving complex challenges, innovating in cloud technology, and creating impactful software that improves patient outcomes, we’d love to hear from you.

A reasonable estimate of the base salary compensation range is $180,000 to $215,000, bonus, and equity. #LI-IB1

About the Role

We are hiring a developer productivity engineer to advance how we build software internally: safely, quickly, and with delight. The main focus are AI tools and coding agents. You’ll partner with platform, security, and product engineers to build state-of-the-art tooling for AI-assisted software development, and make our inner loop dramatically faster. 

The scope of this role includes both setting up company-wide platforms and working with developers to accelerate their individual workflows. 

Note: This is an "evergreen role" that we keep open on an on-going basis to express interest. We receive many applications, and there may not always be an immediate role that aligns perfectly with your experience and skills. Still, we encourage you to apply. We continuously review applications and reach out to applicants as new opportunities open. You are welcome to reapply if you get more experience, but please avoid applying more than once every 6 months. You may also find that we put up postings for singular roles for separate, project or team specific needs. In those cases, you're welcome to apply directly in addition to an evergreen role.

What You’ll Do

• Enable our researchers and engineers to leverage AI to improve coding productivity without compromising code quality
• Standardize AI coding tools, such as Claude Code, Cursor, and Codex. You will help configure, harden, and maintain the best tools, integrating org-wide configurations with individual preferences.
• Build secure, reproducible agent sandboxes for remote dev & CI testing.
• Set up golden-path dev environments and guardrails for secrets/PII.
• Help individual contributors develop their personalized AI-enabled workflow.
• Track tool usage, reliability, and cost.

Skills and Qualifications

Minimum qualifications:

• Bachelor’s degree or equivalent industry experience in computer science, engineering, or similar.
• Experience developing productivity tools and best practices for large codebases.
• Ability to communicate clearly and work with researchers to build and manage a variety of internal tools.

Preferred qualifications — we encourage you to apply even if you don’t meet all preferred qualifications, but at least some:

• Hands-on experience with container platforms (e.g. Docker/Kubernetes), modern CI (GitHub Actions/Buildkite), and package management tools (uv).
• Practical experience with AI coding tools and model APIs (e.g. OSS via vLLM / SGLang / TGI).
• Solid Linux/networking fundamentals; comfort with secrets management and safe egress.
• Proficiency in systems programming languages (e.g. Rust) and scripting languages (e.g. Python).

Logistics

• Location: This role is based in San Francisco, California. 
• Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $350,000 - $475,000 USD.
• Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.
• Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.

We are looking for an Application Security Engineer to work with our engineering team to ensure security is an integral part of our Software Development Lifecycle (SDLC). In this role, you’ll have the chance to use your security and software development background to protect patients as we build products that leverage AI to improve healthcare. If you enjoy working with talented engineers to solve complex technical challenges and want to see your work make a direct difference in patient outcomes, we encourage you to apply. This role is a hybrid, requiring three days a week in our San Francisco office.

What You’ll Do:

• Partner with the engineering team to provide hands-on technical guidance to software developers throughout the vulnerability remediation lifecycle. Perform secure code reviews, validate false positive determinations, coach developers on effective remediation strategies, threat model our products and carry out essential parts of a secure SDLC.
• Drive vulnerability identification using SAST, DAST, SCA and in-house AI tooling and manage external penetration testing.
• Support engineering team on vulnerability management, including risk assessment, remediation, improving identification of vulnerabilities and translate security and privacy requirements into technical requirements.
• Build security awareness through training on secure coding practices, security standards and latest security threats.

What You Bring:

• Security Communication – Ability to reason about risk in complex environments and communicate that risk to technical and non-technical audiences. Experience leading training, speaking internally/externally about security projects valued.
• Programming Skills  – Experience writing and maintaining code in at least one modern programming language and with at least one scripting language (Heartflow uses C++/Python). Comfortable with testing frameworks and CI/CD pipelines.
• AI Development Tools – Experience using AI code tools such as Claude Code and Github Copilot for development and security testing.
• Education & Experience  – BS in Computer Science (or related degree) or relevant certifications and equivalent experience. 5+ years of total experience with at least 1 year working in Application Security or performing security tasks in a development role.
• Securing SDLC – Have contributed to secure SDLC activities, including threat modeling, code review, security testing and vulnerability management.
• Knowledge of Modern AI Security Threats – Experience working with or ability to discuss current AI threats for both machine learning and generative AI.

What Helps You Stand Out:

• Healthcare Experience – Current knowledge of HIPAA, HITRUST and the complexities of working in a regulated environment. Experience with Software as a Medical Device (SaMD) is especially valuable.
• Infrastructure as Code & Cloud – Familiarity with AWS (or equivalent cloud providers) and configuration tools (Terraform, Chef, Ansible). Experience with containerization (Docker, Kubernetes) and orchestration (GitHub Actions or similar).

A reasonable estimate of the base salary compensation range is $145,000 to $180,000 per year, bonus, and equity. #LI-IB1

What The Role Is

We are seeking a talented Senior Data Engineer to design, build, and maintain our data infrastructure supporting mission-critical energy operations. You'll work at the intersection of renewable energy and data, developing pipelines that process everything from real-time asset performance data to complex trading and risk analytics. This hybrid role offers the opportunity to make a direct impact on clean energy operations while working with a cutting-edge data stack including Snowflake, Dagster, dbt, Modal, and GitLab.

What You'll Be Doing

Analytics Infrastructure & Data Warehouse Management

• Design, deploy, and maintain scalable data infrastructure to support enterprise analytics and reporting needs
• Manage Snowflake instances, including performance tuning, security configuration, and capacity planning for growing data volumes
• Optimize query performance and resource utilization to control costs and improve processing speed

Data Pipeline Development & Orchestration

• Build and orchestrate complex ETL/ELT workflows using Dagster to ensure reliable, automated data processing for asset management and energy trading
• Develop robust data pipelines that handle high-volume, time-sensitive energy market data and asset generation and performance metrics
• Implement workflow automation and dependency management for critical business operations

Data Transformation & Analytics Support

• Develop and maintain dbt models to transform raw data into business-ready analytical datasets and dimensional models
• Create efficient SQL-based transformations for complex energy market calculations and asset performance metrics
• Support advanced analytics initiatives through proper data preparation and feature engineering

Data Quality & Governance

• Implement comprehensive data validation, testing, and monitoring frameworks to ensure accuracy and consistency across all energy and financial data assets
• Establish data lineage tracking and privacy controls to meet regulatory compliance requirements in the energy sector
• Develop alerting and monitoring systems for data pipelines, including error handling, SLA monitoring, and incident response

CI/CD & DevOps

• Lead continuous integration and deployment initiatives for Dagster and dbt pipelines, and Streamlit/Gradio application deployments to Linux servers
• Implement automated testing and deployment automation for data pipelines and analytics applications
• Manage version control and infrastructure as code practices

Cross-functional Collaboration

• Partner with Analytics Engineers, Data Scientists, and business stakeholders to understand requirements and deliver solutions
• Work closely with asset management and trading groups to ensure real-time data availability for market operations and risk calculations
• Collaborate with credit risk teams to develop data models supporting financial analysis and regulatory reporting
• Translate business requirements into technical solutions and communicate data insights to stakeholders

Documentation & Security

• Create and maintain technical documentation, data dictionaries, and onboarding materials for data assets
• Implement role-based access controls, data encryption, and security best practices across the data stack
• Monitor and optimize cloud infrastructure costs, implement resource allocation strategies, and provide cost forecasting

What You'll Bring

• Experience: 4+ years of hands-on data engineering experience in production environments
• Education: Bachelor's degree in Computer Science, Engineering, or a related field
• Data Orchestration: Proficiency in Dagster for pipeline scheduling, dependency management, and workflow automation; Airflow experience a plus
• Cloud Data Warehousing: Advanced-level Snowflake administration, including virtual warehouses, clustering, security, and cost optimization
• Data Transformation: Proficiency in dbt for data modeling, testing, documentation, and version control of analytical transformations
• Programming: Strong Python and SQL skills for data processing and automation
• CI/CD: 3+ years of experience with continuous integration and continuous deployment practices and tools; proficiency in GitLab CI/CD required (GitHub Actions experience a plus)
• Database Technologies: Advanced SQL skills, database design principles, and experience with multiple database platforms
• Cloud Platforms: Proficiency in AWS/Azure/GCP data services, storage solutions (S3, Azure Blob, GCS), and infrastructure as code
• Data Integration: Experience with APIs, various data connectors, and formats
• Data Security: Understanding of data security best practices, access controls, encryption, and role-based access management
• AI & LLM Proficiency: Practical experience integrating and leveraging large language models (e.g., OpenAI, Anthropic, or open-source models) within data workflows; ability to apply LLMs efficiently and securely, with awareness of data privacy boundaries, prompt injection risks, and responsible AI usage in production environments
• Problem-Solving: Strong analytical and troubleshooting skills with attention to detail
• Communication: Ability to work effectively with both technical and business stakeholders
• Work Style: Comfortable with a hybrid work environment (2-3 days in office); highly autonomous and self-directed with a strong work ethic and growth mindset; exceptional attention to detail; able to take ownership of projects end-to-end with minimal oversight

What Would Be Nice

• Experience in the energy, utilities, or financial services industries
• Knowledge of energy trading concepts, market data, or asset management
• Familiarity with data governance frameworks and regulatory compliance (SOX, GDPR, CCPA)
• Experience with infrastructure as code (Terraform, CloudFormation)

Clearway will not sponsor non-immigrant visas for this position (H-1B, TN, E-3, etc.).

#LI-Hybrid

What The Role Is

We are seeking a talented Senior Data Engineer to design, build, and maintain our data infrastructure supporting mission-critical energy operations. You'll work at the intersection of renewable energy and data, developing pipelines that process everything from real-time asset performance data to complex trading and risk analytics. This hybrid role offers the opportunity to make a direct impact on clean energy operations while working with a cutting-edge data stack including Snowflake, Dagster, dbt, Modal, and GitLab.

What You'll Be Doing

Analytics Infrastructure & Data Warehouse Management

• Design, deploy, and maintain scalable data infrastructure to support enterprise analytics and reporting needs
• Manage Snowflake instances, including performance tuning, security configuration, and capacity planning for growing data volumes
• Optimize query performance and resource utilization to control costs and improve processing speed

Data Pipeline Development & Orchestration

• Build and orchestrate complex ETL/ELT workflows using Dagster to ensure reliable, automated data processing for asset management and energy trading
• Develop robust data pipelines that handle high-volume, time-sensitive energy market data and asset generation and performance metrics
• Implement workflow automation and dependency management for critical business operations

Data Transformation & Analytics Support

• Develop and maintain dbt models to transform raw data into business-ready analytical datasets and dimensional models
• Create efficient SQL-based transformations for complex energy market calculations and asset performance metrics
• Support advanced analytics initiatives through proper data preparation and feature engineering

Data Quality & Governance

• Implement comprehensive data validation, testing, and monitoring frameworks to ensure accuracy and consistency across all energy and financial data assets
• Establish data lineage tracking and privacy controls to meet regulatory compliance requirements in the energy sector
• Develop alerting and monitoring systems for data pipelines, including error handling, SLA monitoring, and incident response

CI/CD & DevOps

• Lead continuous integration and deployment initiatives for Dagster and dbt pipelines, and Streamlit/Gradio application deployments to Linux servers
• Implement automated testing and deployment automation for data pipelines and analytics applications
• Manage version control and infrastructure as code practices

Cross-functional Collaboration

• Partner with Analytics Engineers, Data Scientists, and business stakeholders to understand requirements and deliver solutions
• Work closely with asset management and trading groups to ensure real-time data availability for market operations and risk calculations
• Collaborate with credit risk teams to develop data models supporting financial analysis and regulatory reporting
• Translate business requirements into technical solutions and communicate data insights to stakeholders

Documentation & Security

• Create and maintain technical documentation, data dictionaries, and onboarding materials for data assets
• Implement role-based access controls, data encryption, and security best practices across the data stack
• Monitor and optimize cloud infrastructure costs, implement resource allocation strategies, and provide cost forecasting

What You'll Bring

• Experience: 4+ years of hands-on data engineering experience in production environments
• Education: Bachelor's degree in Computer Science, Engineering, or a related field
• Data Orchestration: Proficiency in Dagster for pipeline scheduling, dependency management, and workflow automation; Airflow experience a plus
• Cloud Data Warehousing: Advanced-level Snowflake administration, including virtual warehouses, clustering, security, and cost optimization
• Data Transformation: Proficiency in dbt for data modeling, testing, documentation, and version control of analytical transformations
• Programming: Strong Python and SQL skills for data processing and automation
• CI/CD: 3+ years of experience with continuous integration and continuous deployment practices and tools; proficiency in GitLab CI/CD required (GitHub Actions experience a plus)
• Database Technologies: Advanced SQL skills, database design principles, and experience with multiple database platforms
• Cloud Platforms: Proficiency in AWS/Azure/GCP data services, storage solutions (S3, Azure Blob, GCS), and infrastructure as code
• Data Integration: Experience with APIs, various data connectors, and formats
• Data Security: Understanding of data security best practices, access controls, encryption, and role-based access management
• AI & LLM Proficiency: Practical experience integrating and leveraging large language models (e.g., OpenAI, Anthropic, or open-source models) within data workflows; ability to apply LLMs efficiently and securely, with awareness of data privacy boundaries, prompt injection risks, and responsible AI usage in production environments
• Problem-Solving: Strong analytical and troubleshooting skills with attention to detail
• Communication: Ability to work effectively with both technical and business stakeholders
• Work Style: Comfortable with a hybrid work environment (2-3 days in office); highly autonomous and self-directed with a strong work ethic and growth mindset; exceptional attention to detail; able to take ownership of projects end-to-end with minimal oversight

What Would Be Nice

• Experience in the energy, utilities, or financial services industries
• Knowledge of energy trading concepts, market data, or asset management
• Familiarity with data governance frameworks and regulatory compliance (SOX, GDPR, CCPA)
• Experience with infrastructure as code (Terraform, CloudFormation)

Clearway will not sponsor non-immigrant visas for this position (H-1B, TN, E-3, etc.).

#LI-Hybrid

What The Role Is

We are seeking a talented Senior Data Engineer to design, build, and maintain our data infrastructure supporting mission-critical energy operations. You'll work at the intersection of renewable energy and data, developing pipelines that process everything from real-time asset performance data to complex trading and risk analytics. This hybrid role offers the opportunity to make a direct impact on clean energy operations while working with a cutting-edge data stack including Snowflake, Dagster, dbt, Modal, and GitLab.

What You'll Be Doing

Analytics Infrastructure & Data Warehouse Management

• Design, deploy, and maintain scalable data infrastructure to support enterprise analytics and reporting needs
• Manage Snowflake instances, including performance tuning, security configuration, and capacity planning for growing data volumes
• Optimize query performance and resource utilization to control costs and improve processing speed

Data Pipeline Development & Orchestration

• Build and orchestrate complex ETL/ELT workflows using Dagster to ensure reliable, automated data processing for asset management and energy trading
• Develop robust data pipelines that handle high-volume, time-sensitive energy market data and asset generation and performance metrics
• Implement workflow automation and dependency management for critical business operations

Data Transformation & Analytics Support

• Develop and maintain dbt models to transform raw data into business-ready analytical datasets and dimensional models
• Create efficient SQL-based transformations for complex energy market calculations and asset performance metrics
• Support advanced analytics initiatives through proper data preparation and feature engineering

Data Quality & Governance

• Implement comprehensive data validation, testing, and monitoring frameworks to ensure accuracy and consistency across all energy and financial data assets
• Establish data lineage tracking and privacy controls to meet regulatory compliance requirements in the energy sector
• Develop alerting and monitoring systems for data pipelines, including error handling, SLA monitoring, and incident response

CI/CD & DevOps

• Lead continuous integration and deployment initiatives for Dagster and dbt pipelines, and Streamlit/Gradio application deployments to Linux servers
• Implement automated testing and deployment automation for data pipelines and analytics applications
• Manage version control and infrastructure as code practices

Cross-functional Collaboration

• Partner with Analytics Engineers, Data Scientists, and business stakeholders to understand requirements and deliver solutions
• Work closely with asset management and trading groups to ensure real-time data availability for market operations and risk calculations
• Collaborate with credit risk teams to develop data models supporting financial analysis and regulatory reporting
• Translate business requirements into technical solutions and communicate data insights to stakeholders

Documentation & Security

• Create and maintain technical documentation, data dictionaries, and onboarding materials for data assets
• Implement role-based access controls, data encryption, and security best practices across the data stack
• Monitor and optimize cloud infrastructure costs, implement resource allocation strategies, and provide cost forecasting

What You'll Bring

• Experience: 4+ years of hands-on data engineering experience in production environments
• Education: Bachelor's degree in Computer Science, Engineering, or a related field
• Data Orchestration: Proficiency in Dagster for pipeline scheduling, dependency management, and workflow automation; Airflow experience a plus
• Cloud Data Warehousing: Advanced-level Snowflake administration, including virtual warehouses, clustering, security, and cost optimization
• Data Transformation: Proficiency in dbt for data modeling, testing, documentation, and version control of analytical transformations
• Programming: Strong Python and SQL skills for data processing and automation
• CI/CD: 3+ years of experience with continuous integration and continuous deployment practices and tools; proficiency in GitLab CI/CD required (GitHub Actions experience a plus)
• Database Technologies: Advanced SQL skills, database design principles, and experience with multiple database platforms
• Cloud Platforms: Proficiency in AWS/Azure/GCP data services, storage solutions (S3, Azure Blob, GCS), and infrastructure as code
• Data Integration: Experience with APIs, various data connectors, and formats
• Data Security: Understanding of data security best practices, access controls, encryption, and role-based access management
• AI & LLM Proficiency: Practical experience integrating and leveraging large language models (e.g., OpenAI, Anthropic, or open-source models) within data workflows; ability to apply LLMs efficiently and securely, with awareness of data privacy boundaries, prompt injection risks, and responsible AI usage in production environments
• Problem-Solving: Strong analytical and troubleshooting skills with attention to detail
• Communication: Ability to work effectively with both technical and business stakeholders
• Work Style: Comfortable with a hybrid work environment (2-3 days in office); highly autonomous and self-directed with a strong work ethic and growth mindset; exceptional attention to detail; able to take ownership of projects end-to-end with minimal oversight

What Would Be Nice

• Experience in the energy, utilities, or financial services industries
• Knowledge of energy trading concepts, market data, or asset management
• Familiarity with data governance frameworks and regulatory compliance (SOX, GDPR, CCPA)
• Experience with infrastructure as code (Terraform, CloudFormation)

Clearway will not sponsor non-immigrant visas for this position (H-1B, TN, E-3, etc.).

#LI-Hybrid

About Foresite Labs

Foresite Labs is a translational R&D team that derives insights from precision measurement and population-scale biology and genetics to address unmet clinical needs. We use human genetics to systematically dissect and understand human disease biology and develop and critically evaluate therapeutic hypotheses. We engage in translational research, transforming basic insights into therapeutic opportunities. Our work supports drug discovery and company formation, and provides the core around which new ideas are realized and incubated. We offer competitive salaries, excellent benefits, a flexible work environment, and the opportunity to learn from top thinkers in various disciplines. Foresite Labs is headquartered in San Francisco and Boston. 

What You’ll Do

• Build from scratch. Design, implement, and own production‑grade software systems, services, data pipelines, internal tools, often starting from scratch and evolving them through MVP, scale‑up, and sustained operation.
• Ship features end-to-end. Work across the stack, with meaningful ownership of frontend applications built in React and Tailwind CSS as well as backend services and APIs, to deliver product value quickly and iterate with feedback.
• Create polished user experiences. Translate ambiguous user and business needs into intuitive, performant interfaces that make complex scientific and operational workflows easier to use.
• Use modern AI-native development workflows and agentic coding tools, such as Claude Code or Codex, to accelerate prototyping, implementation, refactoring, and debugging
• Uphold high engineering standards. Lead code and design reviews, establish testing and monitoring best practices, and collaborate with and mentor peers in clean, maintainable software.
• Collaborate broadly. Pair with machine learning engineers and scientists, computational biologists, and portfolio company founders to translate scientific or business goals into robust technical solutions.

What You’ll Bring

• 5+ years of professional software engineering experience, including shipping greenfield systems you personally bootstrapped and supported in production.
• Fluency in TypeScript and at least one modern backend language (Python, Go, Java, etc.), with strong experience building production full-stack applications.
• Working knowledge of AWS (or GCP/Azure) core services and patterns—VPC, IAM, ECS/EKS/Lambda, RDS, S3—and experience expressing infrastructure as code with Terraform, CDK, or Pulumi a plus.
• Comfort navigating Unix environments, containers (Docker), and CI/CD pipelines (GitHub Actions, GitLab, or similar).
• Hands-on experience with LLM systems and agentic application frameworks, including familiarity with tools such as LangChain and Pydantic AI, and an understanding of how to build production-oriented workflows involving tool use, structured data, multi-step reasoning, iterative loops, testing, and orchestration.
• Mindset for early‑stage execution: bias for action, ownership of ambiguous problem spaces, and ability to wear multiple hats without extensive support structures.
• Excellent written and verbal communication skills; you explain complex ideas clearly to technical and non‑technical partners.

Why Foresite Labs

• Impact. Your code will accelerate discovery and bring novel therapeutics closer to patients and will help AI driven scientific innovation.
• Autonomy. Small, senior teams give you room to architect and own end‑to‑end solutions without heavy bureaucracy.
• Learning. Work at the intersection of software, cloud infrastructure, and biology alongside experts in each domain.
• Flexibility & Benefits. Competitive salary and equity, comprehensive healthcare, generous PTO, and hybrid/remote options aligned to our SF or Boston hubs.
• Ready to build? Apply today and help us create the software foundation that powers the next generation of companies advancing biotech and scientific innovation.

Location: San Francisco, CA

Salary range: $185,000 - $221,400

Foresite Labs is an equal opportunity employer. We thrive on diversity and collaboration.

Your Impact at LILA

Join us in shaping the future of science! We are seeking Sr Principal, and Principal Software Engineers with full stack experience to join our software org, where you’ll collaborate with software engineers, lab scientists, and machine learning engineers to build cutting-edge tools for automated scientific analysis and more. Our teams span across App, Data, SSR, and LaS with a strong emphasis on Python development for scientific applications. If you thrive in a collaborative, fast-paced environment and bring best practices in git, development workflows, and user-centered design, we want to hear from you!

Our Software Teams

The Application Team (App)- They build the operating system for AI-driven science. Their platform unifies Machine Learning, Life Sciences, Physical Sciences, and Software into one AI-native experience — where a scientist can go from hypothesis to experiment to result in a single conversation. They ship the agents, the integrations, and the interfaces that make that possible.

The Scientific System of Record Team (SSR) - They build the memory layer for Lila's operations. It answers two questions:what did we plan to build? and what actually happened? These systems connect scientific intent to physical reality. Together with the data and automation teams, their systems ensure reproducibility and close the Design-Build-Test-Learn (DBTL) loop.

The Lab as Software Team (LaS)- They act as the physical and virtual execution layer for Lila's AI-driven science. This connects the Lila App to AI Science Factories (AISFs), the mechanism through which experiments are dispatched to real instruments. This team owns the full stack of lab integration: orchestration of labflows, instrument integrations, bi-directional data transfer, and the UI/UX that AI scientists and operators use to interact with the lab.

The Data Platform Team (Data)- They build and support the data systems that underpins Lila's AI Science Factory™. Every experiment run in our labs, every measurement from an instrument, and every signal from our operational systems flows through the platform they build. Their work spans real-time ingestion, large-scale analytical storage, workflow orchestration, and the self-service tools scientists, engineers, and ML teams use to go from raw measurements to discoveries. They build the data backbone of Scientific Superintelligence™, so the science moves faster and each experiment makes the next one smarter.

What You'll Be Building

• Design & Build UI and APIs: Design and build high-performance, secure, and well-documented UI and APIs that integrate with AI-driven applications.
• Database Architecture & Scaling: Develop schemas and manage diverse data systems (SQL, NoSQL, Vector DBs, and others) for optimal performance and scalability.
• Application Development: Drive the implementation of front-end and backend services, focusing on performance, maintainability, and reliability.
• Performance & Reliability: Diagnose and optimize system bottlenecks, ensuring high availability and low-latency performance across large-scale workloads.
• Cloud & Infrastructure: Leverage AWS services, Kubernetes and modern DevOps practices to build and deploy production-grade systems at scale.
• Cross-Functional Collaboration: Work with ML researchers, engineers, and scientists to integrate data pipelines, APIs, and cloud infrastructure into scientific workflows.

What You'll Need To Succeed  

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 8-15 years of engineering experience building and deploying large-scale systems in production. You must be strong in either front-end or backend.
• Full Stack Development: Experience developing web apps across the full stack (React, TypeScript, Monorepos like Nx, TailWind, FastAPI, SQL/NoSQL, Python, Pydantic)
• Hands on experience using AI coding assistants to drive productivity is required.
• Communication & Collaboration: Acute listening skills, and a proven track record of working cross-functionally with scientists, data engineers, and product teams; able to explain complex ideas to diverse audiences.
• Problem Solving: Proven ability to take ownership of complex backend challenges, balancing trade-offs between scalability, performance, and maintainability.

Bonus Points For

• Cloud & DevOps Knowledge: Hands-on experience with AWS; strong understanding of Kubernetes and containerization, infrastructure-as-code (Terraform, CloudFormation), and CI/CD pipelines (GitHub Actions).
• Experience with ORMs: Experience with and web services for CRUD services (SQLModel, FastAPI, Django).
• Orchestration Systems: Experience with orchestrators tools (Airflow, Prefect, Temporal, Dagster).
• Familiarity with Python for Science: Familiarity with data science and ML libraries (pandas, numpy, scipy, jax, pytorch).
• Domain Background: Exposure to laboratory software or analytics for life sciences, material sciences, or related fields.
• Experience with laboratory devices, robotics, or hardware drivers.

Every line of code that ships at Mercury passes through a gauntlet of builds, tests, and gates before it reaches our customers. On the surface, that process should feel seamless — frictionless for engineers, undetectable to users, and impossibly reliable. Behind that invisibility is Release Engineering.

Mercury moves fast. We ship frequently, our monorepo grows daily, and the pressure to do it right never lets up. Release Engineering is the team that makes this possible: owning the CI/CD platform, build infrastructure, deployment tooling, and the practices that let 400+ engineers deliver with confidence.

We're looking for an Engineering Manager to lead this team. You'll partner with the Backend Developer Experience team to deliver the full software delivery lifecycle from code commit to production, and build the engineering culture that keeps our release process a competitive advantage rather than a bottleneck.

In this role you will:

• Lead and grow a team of four engineers focused on CI/CD infrastructure, build systems, deployment automation, and developer tooling.
• Create a strong culture of operational excellence, with measurable improvements to pipeline reliability, build times, and deployment confidence.
• Own Mercury's release pipeline end-to-end — from pull request merge to production — ensuring it is fast, reliable, observable, and secure.
• Drive the strategy and execution for improving build performance, test reliability, deployment safety (canaries, feature flags, rollbacks), and developer velocity.
• Partner closely with Platform, Security, and Product Engineering teams to design and deliver systems that meet the demands of a rapidly scaling fintech.
• Establish and evangelize release engineering best practices across Mercury's engineering org — defining standards for deployment frequency, change failure rate, and MTTR.
• Balance long-term platform investments with the day-to-day reliability needs of 400+ engineers shipping code every day.
• Build and maintain tooling that enforces compliance checkpoints and audit trails as part of the release pipeline — without slowing teams down.
• Hire, mentor, and retain top-tier engineers; help them grow into technical leads and raise the overall bar for the team.

You should have:

• 7+ years of software engineering experience, including 4+ years managing engineering teams in high-growth or high-availability environments.
• Deep hands-on experience with CI/CD systems (e.g., Buildkite, GitHub Actions, Jenkins, CircleCI) and the infrastructure that supports them.
• Strong background in build systems (Bazel, Buck2), containerization (Docker, Kubernetes), and infrastructure-as-code (Terraform, Pulumi, or similar).
• A track record of meaningfully improving release velocity and reliability — you measure what matters and use data to drive decisions.
• Experience operating in regulated or security-sensitive environments, ideally fintech, payments, or banking.
• Excellent cross-functional communication skills — you can translate between engineering depth and business impact, and you partner effectively with Security, Compliance, and Product leaders.
• A pragmatic philosophy: you believe release infrastructure should be a force multiplier for product engineers, not a bureaucratic hurdle.
• The ability to attract, develop, and retain exceptional talent — you take hiring and team development seriously.

What Success Looks Like:

In your first 90 days, you've developed deep context on Mercury's release infrastructure, built trust with your team, and identified the highest-leverage opportunities to improve pipeline performance and developer experience.

Within six months, you've shipped meaningful improvements to build reliability, deployment speed, or observability — and your team has a clear roadmap for the next year.

Over time, you've made Mercury's release process a model for how fintech companies can move fast without breaking things.

Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a job candidate’s experience, expertise, geographic location, and internal pay equity relative to peers. 

Our target new hire base salary ranges for this role are the following:

• US employees (any location): $239,000 - 298,800
• Canadian employees (any location): CAD $225,900 - 282,400

Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on January 22, 2024. Please see the independent bias audit report covering our use of Covey here.

Mercury is a financial technology company, not a bank. Banking services provided by Choice Financial Group, Column N.A., and Evolve Bank & Trust; Members FDIC.

[Please see the independent bias audit report covering our use of Covey for more information.] 

#LI-ME1

Imagine being a pioneer, venturing through the uncharted territories of the cloud. You're not just navigating; you're shaping the landscape, constructing robust architectures that withstand the tests of time and scale. At Mercury, your mission, should you choose to accept it, is to help steer our cloud infrastructure into the future. With projects as dynamic as migrating our entire fleet to ECS and building out our golden paths for service deployment, your role is pivotal. This isn't just a job; it's an epic tale of transformation and triumph.

As a senior member of our infrastructure team, you will be equipped with essential tools and technologies designed for scaling and enhancing Mercury's infrastructure:

• AWS Services: Proficiently utilize EC2, RDS, IAM, Networking, Opensearch, and ECS to build and manage robust cloud environments.
• Terraform: Leverage Terraform for infrastructure as code to efficiently manage and provision our cloud resources.
• Agentic Infrastructure: Build the frameworks around using AI safely in our infrastructure, both for the agents and the users that kick off those agents.
• Monitoring and Observability Tools: Employ Prometheus, Grafana, Opensearch, and OpenTelemetry to maintain high availability and monitor system health.
• Version Control and CI/CD: Manage code and automate deployments using GitHub & GitHub Actions.

As we gear up for the next stages of Mercury's growth, you will:

• Build our “Infrastructure Platform” to support the growing needs of the Engineering Organization.
• Focus on building a platform that is AI friendly while still usable for engineers. We want our users to be humans and Agents.
• Lead key infrastructure projects, break-down complex initiatives, and define our infrastructure strategy through detailed RFCs and technical specifications.

Must haves:

• You have 5+ years of experience with AWS
• You have extensive experience, ideally 3 years or more, with observability and monitoring tools like Prometheus, Grafana, and OpenTelemetry, optimizing system performance and reliability.
• You have demonstrated ability in technical writing, with at least 3 years of experience creating detailed technical documentation, RFCs, and tech specs that clearly communicate complex ideas.

The ideal candidate should:

• You bring at least 2 years of experience leading infrastructure projects in regulated environments such as HITRUST or SOC2, ensuring compliance and security.
• You have 3+ years of experience managing large-scale Terraform implementations, including the setup and maintenance of Terraform CI/CD pipelines.
• You have 2+ years of experience writing code. We are building an Infrastructure Platform from scratch and there is plenty of code to write to support that.
• Experience mentoring and elevating those around you, we are force multipliers for the engineering org.

If this role interests you, we invite you to explore our public demo at demo.mercury.com. 

The total rewards package at Mercury includes base salary, equity, and benefits. Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.

Our target new hire base salary ranges for this role are the following:

• US employees: $200,700 - $250,900
• Canadian employees: CAD $189,700 - $237,100

Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on January 22, 2024. 

[Please see the independent bias audit report covering our use of Covey for more information.] 

#LI-ME1

Your Impact at LILA

Join us in shaping the future of science! We are seeking Staff, Senior II, and Senior I Software Engineers with either frontend or backend experience to join our software org, where you’ll collaborate with software engineers, lab scientists, and machine learning engineers to build cutting-edge tools for automated scientific analysis and more. Our teams span across App, Data, SSR, and LaS with a strong emphasis on Python development for scientific applications. If you thrive in a collaborative, fast-paced environment and bring best practices in git, development workflows, and user-centered design, we want to hear from you!

Our Software Teams

The Application Team (App)- They build the operating system for AI-driven science. Their platform unifies Machine Learning, Life Sciences, Physical Sciences, and Software into one AI-native experience — where a scientist can go from hypothesis to experiment to result in a single conversation. They ship the agents, the integrations, and the interfaces that make that possible.

The Scientific System of Record Team (SSR) - They build the memory layer for Lila's operations. It answers two questions:what did we plan to build? and what actually happened? These systems connect scientific intent to physical reality. Together with the data and automation teams, their systems ensure reproducibility and close the Design-Build-Test-Learn (DBTL) loop.

The Lab as Software Team (LaS)- They act as the physical and virtual execution layer for Lila's AI-driven science. This connects the Lila App to AI Science Factories (AISFs), the mechanism through which experiments are dispatched to real instruments. This team owns the full stack of lab integration: orchestration of labflows, instrument integrations, bi-directional data transfer, and the UI/UX that AI scientists and operators use to interact with the lab.

The Data Platform Team (Data)- They build and support the data systems that underpins Lila's AI Science Factory™. Every experiment run in our labs, every measurement from an instrument, and every signal from our operational systems flows through the platform they build. Their work spans real-time ingestion, large-scale analytical storage, workflow orchestration, and the self-service tools scientists, engineers, and ML teams use to go from raw measurements to discoveries. They build the data backbone of Scientific Superintelligence™, so the science moves faster and each experiment makes the next one smarter.

What You'll Be Building

• Design & Build UI and APIs: Design and build high-performance, secure, and well-documented UI and APIs that integrate with AI-driven applications.
• Database Architecture & Scaling: Develop schemas and manage diverse data systems (SQL, NoSQL, Vector DBs, and others) for optimal performance and scalability.
• Application Development: Drive the implementation of front-end and backend services, focusing on performance, maintainability, and reliability.
• Performance & Reliability: Diagnose and optimize system bottlenecks, ensuring high availability and low-latency performance across large-scale workloads.
• Cloud & Infrastructure: Leverage AWS services, Kubernetes and modern DevOps practices to build and deploy production-grade systems at scale.
• Cross-Functional Collaboration: Work with ML researchers, engineers, and scientists to integrate data pipelines, APIs, and cloud infrastructure into scientific workflows.

What You’ll Need to Succeed

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 5-10 years of engineering experience building and deploying large-scale systems in production. You must be strong in either front-end or backend.
• Full Stack Development: Experience developing web apps across the full stack (React, TypeScript, Monorepos like Nx, TailWind, FastAPI, SQL/NoSQL, Python, Pydantic)
• Hands on experience using AI coding assistants to drive productivity is required.
• Communication & Collaboration: Acute listening skills, and a proven track record of working cross-functionally with scientists, data engineers, and product teams; able to explain complex ideas to diverse audiences.
• Problem Solving: Proven ability to take ownership of complex backend challenges, balancing trade-offs between scalability, performance, and maintainability.

Bonus Points For

• Cloud & DevOps Knowledge: Hands-on experience with AWS; strong understanding of Kubernetes and containerization, infrastructure-as-code (Terraform, CloudFormation), and CI/CD pipelines (GitHub Actions).
• Experience with ORMs: Experience with and web services for CRUD services (SQLModel, FastAPI, Django).
• Orchestration Systems: Experience with orchestrators tools (Airflow, Prefect, Temporal, Dagster).
• Familiarity with Python for Science: Familiarity with data science and ML libraries (pandas, numpy, scipy, jax, pytorch).
• Domain Background: Exposure to laboratory software or analytics for life sciences, material sciences, or related fields.
• Experience with laboratory devices, robotics, or hardware drivers.

The Core Services team within Snorkel AI's Infrastructure organization will own the data platform that powers everything at Snorkel — the pipelines, access layers, event systems, governance, and compute infrastructure that every product team and customer deployment depends on. We are a small team with a large surface area, and we are in the middle of a foundational architecture shift: moving from a single-database data path to a multi-source, event-driven platform with dedicated stores for different workloads (transactional data in Postgres/RDS, analytical data in Snowflake, bulk storage in S3, metrics platform). The decisions being made now will define how data flows at Snorkel for years. You will be making them.

You’ll also shape our AI-native development workflow, contribute in modernizing CI/CD workflow (Buildkite, GitHub Actions), and integrate AI SRE tooling. Your work will directly accelerate developer velocity, reliability, and product quality across the company

What You'll Do

• Build and maintain the shared data access library and SDKs that Platform, Packaging, and Dataset API teams use to read from and write to multiple data sources (Snowflake, S3, RDS). Design interfaces that abstract source-level complexity while providing built-in auth, RBAC enforcement, pagination, and query governance.
• Design and implement event-driven data flows using event brokers,  CDC connectors, schema registry, event routing, dead letter queues. Make sure events flow reliably and failures are visible and recoverable.
• Build the systems that track how data moves through the platform (lineage), enforce who can access what (governance and RBAC), and log what happened (auditing). This includes PII handling, retention policy enforcement, and audit infrastructure for enterprise and federal compliance.
• Instrument the data platform with OpenTelemetry, define and monitor SLOs for query latency and pipeline success rates, and build alerting that catches issues before they become incidents. You will be on-call for the systems you build.
• Contribute to infrastructure cost visibility and optimization -  query cost estimation, workload right-sizing, and routing data to the most cost-effective storage tier for its access pattern.

What You'll Bring

• 8+ years building platform infrastructure, data infrastructure, data platforms, or backend systems with significant data components. You have built and operated pipelines, data access layers, or ETL/ELT systems in production.
• Strong proficiency in Python. Our stack is Python-heavy across Prefect, FastAPI, dbt, and the SDK layer.
• Hands-on experience with SQL and at least two of: Snowflake, Redshift, Postgres. You understand the performance characteristics of each and can write queries that don't bring down production.
• Experience with AWS — S3, RDS, EKS, EventBridge, IAM. Comfortable working in a Terraform-managed environment
• Experience with Kubernetes. Our workloads run on EKS and you will deploy, debug, and scale services on K8s.
• Familiarity with data orchestration tools (Prefect, Airflow, or Dagster) and transformation frameworks (dbt).
• Understanding of data governance concepts — RBAC, PII handling, audit logging, data lineage.
• Fluency with AI-assisted development tools (Claude Code, Cursor, or similar). This is a hard requirement — the team uses these tools daily and we expect engineers to leverage them for code generation, debugging, and investigation.

Nice to Have

• Experience building shared libraries or SDKs consumed by multiple teams — versioning, backwards compatibility, migration support.
• Experience with event-driven architectures — CDC, event buses, schema registries, at-least-once delivery semantics.
• Experience with OpenTelemetry, ClickHouse, or similar observability infrastructure.
• Prior work in regulated environments (SOC 2, FedRAMP, HIPAA) where compliance requirements shaped system design.
• Experience with Ray for distributed compute workloads.

Your Impact at LILA

We are seeking a Staff Software Engineer - AI Lab Execution System to join our software group and help build the next generation AI-driven scientific platform. In this role, you will design, build, and optimize intelligent, data-driven applications front-end. You will focus on developing UI, services, high-performance APIs, databases, and ensuring the reliability of services that integrate advanced AI frameworks with complex scientific analytics and laboratory workflows.

You’ll work closely with ML researchers, platform engineers, and scientists to develop systems that can handle diverse workloads and scale seamlessly, including structured SQL database, data lake houses, and vector databases. This is an opportunity to apply your deep front-end and backend expertise to a cutting-edge AI platform with real scientific impact. If you are passionate about building performant, and elegant systems, we would love to hear from you!

What You'll Be Building

• Design & Build UI and APIs: Design and build high-performance, secure, and well-documented UI and APIs that integrate with AI-driven applications.
• Database Architecture & Scaling: Develop schemas and manage diverse data systems (SQL, NoSQL, Vector DBs, and others) for optimal performance and scalability.
• Application Development: Drive the implementation of front-end and backend services, focusing on performance, maintainability, and reliability.
• Performance & Reliability: Diagnose and optimize system bottlenecks, ensuring high availability and low-latency performance across large-scale workloads.
• Cloud & Infrastructure: Leverage AWS services, Kubernetes and modern DevOps practices to build and deploy production-grade systems at scale.
• Cross-Functional Collaboration: Work with ML researchers, engineers, and scientists to integrate data pipelines, APIs, and cloud infrastructure into scientific workflows.

What You’ll Need to Succeed

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 4-6 years of engineering experience building and deploying large-scale systems in production. You must be strong in either front-end or backend or data modeling and design.
• Typescript, React and Python Expertise: Strong experience with React and Typescript is required.
• Expertise in Databases: Strong experience with SQL, NoSQL, and emerging database technologies (e.g., Vector DBs); proven track record in schema design, indexing, and query optimization.
• API Development: Proven ability to design and scale RESTful or GraphQL APIs with a focus on reliability and performance.
• Hands on experience using AI coding assistants to drive productivity is required.
• Scientific or Data-Intensive Domains: Experience working with life sciences, material sciences, or other research-heavy fields.
• Communication & Collaboration: Acute listening skills, and a proven track record of working cross-functionally with scientists, data engineers, and product teams; able to explain complex ideas to diverse audiences.
• Problem Solving: Proven ability to take ownership of complex backend challenges, balancing trade-offs between scalability, performance, and maintainability.

Bonus Points For

• Cloud & DevOps Knowledge: Hands-on experience with AWS, GCP, or Azure; strong understanding of Kubernetes and containerization, infrastructure-as-code (Terraform, CloudFormation), and CI/CD pipelines (GitHub Actions).
• Orchestration Systems: Experience with orchestration tools (Flyte, Temporal, Airflow, Prefect, etc.).

About the role

As a Senior DevOps Engineer within the Core Infrastructure team, you are a key person in managing and scaling the systems and services that power our streaming platform. Your expertise in cloud technologies and DevOps methodologies enables you to take on complex challenges independently and create scalable solutions that meet our customers' needs. You will work with our delivery teams and lead projects, driving them forward to completion and ensuring that the platform processes and best practices are being followed. In collaboration with other engineers, you develop tools and systems that support services and facilitate high-quality software delivery. You will work with our delivery teams to ensure that their systems are efficient and reliable, guide them to better quality and practices including observability and troubleshooting of services & incident management. You are expected to take initiatives to improve what we do overall, introduce new technologies & processes when it is needed and share knowledge across teams.

You will report to the Senior Manager, Core Infrastructure Engineering.

About You

You have an in-depth understanding of Software and DevOps methodologies, automation, and infrastructure as code. Your experience in designing, building, and scaling high availability systems shows your commitment to operational excellence. You excel in a collaborative environment and can work well with your teammates, providing a good example to other engineers to achieve high quality and standards in everything they do.

Requirements:

• At least a Bachelor's degree in software engineering, computer science, information technology, information systems, or similar.
• 8+ years of experience working in production-level environments as a DevOps/SRE
• Proficient in AWS cloud technologies, coupled with Infrastructure as Code (IaC) such as Pulumi and Terraform
• 3+ years of experience managing containerized infrastructure in ECS or Kubernetes
• Experience in GitOps practices and CI/CD.
• Experience managing Linux based infrastructure.
• Experience with observability and instrumentation of services so that efficient dashboards and alerts are created.
• Familiarity with relational databases like PostgreSQL, MySQL and non-relational databases like MongoDB, DynamoDB.
• Experience with CDN and caching technologies including AWS CloudFront. 
• Experience working with and guiding Software Engineers in production best practices, sharing knowledge across teams and teammates.
• Experience in at least two or more scripting languages including TypeScript.
• Able to accommodate periodic off-hour meetings with the international team members.
• Excellent communication skills and ability to collaborate with stakeholders.
• Participate in an on-call and developer support rotations.

Pluses:

• Knowledge of streaming video delivery, video encoding workflows, video origin architecture, and issues of scale for video delivery.
• Proficiency in TypeScript
• Familiarity with big data and payments domain.
• Understand security concepts such as cryptography, authentication, authorization, and security protocols.
• Familiarity with Datadog
• Familiarity with GitHub Actions

About the Team

At Crunchyroll, our Core Infrastructure Engineering team forms the foundation on which our services are built and directly influence our customer experience and the velocity of our engineers. Our team focus is to ensure that our developers are enabled, self-service, that everything about our infrastructure is automated and that our services are highly reliable and scalable.

Why you will love working at Crunchyroll

In addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks:

• Receive a great compensation package including salary plus performance bonus earning potential, paid annually.
• Flexible time off policies allowing you to take the time you need to be your whole self.
• Generous medical, dental, vision, STD, LTD, and life insurance
• Health Saving Account HSA program
• Health care and dependent care FSA
• 401(k) plan, with employer match
• Employer paid commuter benefit
• Support program for new parents
• Pet insurance and some of our offices are pet friendly!

#LifeAtCrunchyroll #LI-Hybrid

Overview

We are seeking a QA Automation Engineer to own the quality engineering function end-to-end. In this role, you will be responsible for designing automation frameworks, setting standards, and embedding quality into every step of the development lifecycle. As a core member of the team, you will not be a seat at the back of the sprint, but will work closely with engineers, product, and design to ship reliable, production-grade Web3 experiences. Mesh is a global company with headquarters in San Francisco, California USA. This candidate will work closely with the Engineering and Product teams spread across North America, Europe and India.

What You'll Do

• Architect, build, and maintain robust end-to-end test automation frameworks using tools like Playwright.
• Design test strategies that cover the full stack: UI, API, smart contract interactions, and wallet flows
• Write and maintain tests for Web3-specific user journeys including wallet connection, transaction signing, contract interactions, and on-chain state verification
• Integrate automated test suites into CI/CD pipelines and own the health of those pipelines
• Leverage AI-powered development tools (Copilot, Cursor, Claude, etc.) to accelerate test authoring and framework development, and bring strong opinions on how to do this well
• Identify gaps in test coverage, prioritize ruthlessly, and drive continuous improvement
• Champion quality culture across the engineering org
• Stay ahead of the curve on new testing tools, frameworks, and Web3 ecosystem shifts

Who You Are

Automation Expertise

• 7+ years of experience in QA engineering with a strong focus on automation
• Deep hands-on experience with Playwright and/or Cypress; familiarity with others (WebdriverIO, Selenium, Puppeteer) is a plus
• Proficiency in at least one scripting/programming language (TypeScript, JavaScript, Python)
• Experience designing and scaling test frameworks from the ground up, not just maintaining existing ones
• Strong understanding of CI/CD practices and integrating tests into pipelines (GitHub Actions, CircleCI, etc.)

Web3 Knowledge

• Working knowledge of core Web3 concepts: wallets (MetaMask, WalletConnect), transaction signing, smart contracts, gas, RPC endpoints, and on-chain/off-chain interactions
• Experience testing dApps and writing tests that interact with or simulate blockchain state
• Familiarity with testnets or mocking Web3 providers is a strong plus

AI-First Mindset

• Active, hands-on user of AI code generation and developer tools (e.g., GitHub Copilot, Cursor, Claude, ChatGPT)
• You have real opinions on where these tools shine and where they fall short - you've found the edges
• You use AI to move faster without sacrificing rigor, and you can teach others to do the same

The Right Mentality

• Self-starter who identifies problems and drives solutions without waiting to be asked
• Comfortable with ambiguity and able to operate effectively in a fast-paced, resource-constrained startup environment
• Curious by default, you read release notes, follow ecosystem developments, and enjoy going deep on new tools and technologies
• Clear communicator who can translate quality risk into terms the whole team understands

Nice to Have

• Prior experience at an early-stage or growth-stage startup
• Exposure to performance, load, or security testing in Web3 contexts
• Contributions to open-source testing tools or frameworks
• Familiarity with blockchain explorers, event indexing, or subgraph testing

The annual base salary range for this role is $100,000-$200,000 in San Francisco and New York. The compensation range provided may span multiple career levels and will be narrowed during the interview process based on factors including a candidate’s experience, skills, qualifications, and geographic location. For candidates outside of San Francisco and New York, compensation will be adjusted to reflect the applicable market and location-based pay band. The base salary range listed excludes commission (if applicable), equity, and benefits. The pay range represents the minimum and maximum target for new-hire compensation. Actual compensation may vary and may be higher or lower depending on individual circumstances.

Role Summary
We are seeking a Senior Technical Program Manager (TPM), Software, to lead complex programs involving application-level software across edge and cloud platforms. This role drives cross-functional execution across software engineering, firmware, hardware, product, quality assurance, and system integration teams. You will own program scope, schedules, risk management, and delivery quality across multi-release roadmaps, ensuring alignment and successful outcomes.

Responsibilities:

• Lead cross-functional collaboration across software engineering, firmware development, hardware engineering, product management, QA, and system integration teams.
• Drive execution of embedded and application-level software development programs from planning through delivery.
• Own program scope, schedules, and resource allocation, ensuring alignment with timeline, quality, and budget expectations.
• Communicate program status, milestones, and risks to executive leadership and stakeholders with clarity and transparency.
• Coordinate software feature planning, milestone tracking, and integration timelines alongside hardware and systems teams.
• Identify, track, and mitigate risks related to software dependencies, release timelines, and cross-functional integration.
• Ensure visibility into cross-team dependencies that impact software development.
• Partner with product teams to define software requirements, roadmaps, and success metrics aligned with business goals.
• Monitor program costs and resourcing, identifying opportunities for efficiency and optimization.
• Improve program management processes, tools, and best practices to enhance execution, scalability, and transparency.
• Support release and validation processes in collaboration with QA and release engineering, ensuring adequate testing coverage and timely issue resolution.

Qualifications:

• Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical field (or equivalent experience).
• 5+ years of experience in technical program management or engineering leadership roles.
• Strong experience managing complex software and/or firmware programs across multiple teams and timelines.
• Deep understanding of the software development lifecycle (SDLC), Agile methodologies, and firmware development practices.
• Experience working in organizations that build integrated systems across hardware, embedded firmware, and application software.
• Strong leadership and organizational skills, with the ability to influence across functions and levels.
• Excellent written and verbal communication skills, with the ability to bridge technical and non-technical audiences.
• Comfortable operating in fast-paced environments with evolving priorities and requirements.
• Hands-on experience with Atlassian tools (Jira, Confluence) and Agile frameworks (Scrum/Kanban).
• Preferred: Experience with GitHub, AWS, observability tools, and Python.
• Willingness to travel up to 20%, including international travel.

Tools & Platforms (Preferred Exposure):

• Planning & Collaboration: Jira, Confluence, Scrum/Kanban
• Code & CI/CD: GitHub (Projects, Actions), release pipelines
• Cloud & Infrastructure: AWS (IAM, EC2, ECS, Lambda basics)
• Observability: Metrics, logs, and tracing tools (e.g., CloudWatch, Grafana, Sentry)
• Scripting & Automation: Python for data wrangling, reporting, and lightweight tooling

Role Summary:
We are seeking a Senior Technical Program Manager (TPM), Firmware to oversee complex programs involving embedded firmware on microcontrollers. This role requires orchestrating cross-functional execution across firmware engineering, software, hardware, product, quality assurance, and system integration teams. You will own program scope, schedules, risk management, and delivery quality across multi-release program roadmaps.

Responsibilities:

• Lead cross-functional collaboration across firmware engineering, software development, hardware engineering, product management, QA, and system integration to drive successful execution of embedded and application-level software development.
• Oversee program scope, schedules, and resource allocation for firmware initiatives, ensuring deliverables meet timeline, quality, and budget expectations.
• Communicate program status, critical issues, and milestones to executive leadership and cross-functional stakeholders, ensuring alignment, visibility, and transparency.
• Drive firmware feature planning, milestone tracking, and integration timelines in coordination with hardware and systems development teams.
• Identify and mitigate risks related to firmware dependencies, release timelines, and cross-functional integration, ensuring all cross-dependency risks impacting firmware development are captured and highlighted.
• Collaborate with product teams to define firmware requirements, roadmaps, and success metrics aligned with product goals.
• Monitor program costs and resourcing needs, identifying opportunities for efficiency, reuse, and reduced overhead.
• Improve program management processes, tools, and best practices specific to firmware development to enhance execution, scalability, and transparency.
• Support release and validation processes by partnering with QA, release engineering, and support teams to manage timelines, testing coverage, and issue resolution for software deliverables.

Qualifications:

• Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent experience in embedded systems, firmware, or software development.
• 5+ years of experience in technical program management or engineering leadership roles, with a strong focus on software and/or firmware-based products.
• Proven success managing complex software/firmware programs involving multiple teams, timelines, and cross-functional coordination.
• Strong understanding of the software development lifecycle (SDLC), Agile methodologies, and firmware development practices.
• Experience working within engineering organizations that develop products integrating hardware, embedded firmware, and application software.
• Strong leadership and organizational skills, with the ability to influence across multiple levels and disciplines.
• Excellent written and verbal communication skills, with the ability to bridge technical and non-technical stakeholders.
• Comfortable operating in fast-paced environments with rapidly shifting priorities and evolving requirements.
• Experience with Atlassian tools (Jira, Confluence) and Agile frameworks (Scrum/Kanban).
• Preferred: Experience with GitHub, AWS, observability tools, and Python.
• Willingness to travel up to 20%, including international travel.

Tools & Platforms (Preferred Exposure):

• Planning & Collaboration: Jira, Confluence, Scrum/Kanban
• Code & CI/CD: GitHub (Projects, Actions), release pipelines
• Cloud & Infrastructure: AWS (IAM, EC2, ECS, Lambda basics)
• Observability: Metrics, logs, and tracing tools (e.g., CloudWatch, Grafana, Sentry)
• Scripting & Automation: Python for data wrangling, reporting, and tooling
• Hardware/Firmware Context: Microcontroller-based firmware, board bring-up, system integration

The Team You’ll Work With

You'll join our Developer Experience (DevEx) team, a lean "Special Ops" unit within Carta's Infrastructure organization. Our North Star: remove friction from every step of the software delivery lifecycle so Carta's engineers can do the best work of their careers.

We own CI/CD infrastructure, GitHub governance across 500+ repos, the rollout of AI coding tools across our company, and the internal tooling layer that lets Carta move fast without breaking things. We are systems thinkers who measure everything, because you can't optimize what you don't understand.

Carta is making a company-wide bet on AI-native development, and DevEx is the team defining how that happens. Six months from now, the playbook will be written. Now is when you get to write it.

The Problems You’ll Solve

As a Senior Software Engineer II on DevEx, you will:

• Build the MCP servers, agents, and plugin infrastructure that Carta's AI native development runs on, and define the patterns other engineers follow
• Design and ship agents purpose-built to solve specific developer problems across the software delivery lifecycle
• Architect and drive CI/CD pipelines that automate build, test, and deployment to accelerate delivery across R&D
• Build the infrastructure AI tooling runs on, so other engineers can build on top of it with confidence
• Mentor engineers and raise the technical bar through code reviews and architectural guidance

About You

• Experience: 8+ years in platform, backend, or fullstack engineering
• AI Builder: You've shipped production LLM systems, whether that's MCP servers or clients, AI extensions, connectors, or agents designed to solve real problems, not just demos
• Platform Mindset: You build things other engineers build on top of and think about APIs and developer ergonomics as seriously as performance
• Tech Stack: Python or Java; CI/CD tooling (CircleCI, GitHub Actions,  ArgoCD, Jenkins, Docker); cloud-native (AWS, Terraform, Kubernetes); familiarity with secrets management tooling (Vault, Cloudsmith) is a plus
• Security Aware: You think about least-privilege, token lifecycle, and supply chain risks when designing developer tooling, not just after an incident
• Execution: You break down ambiguous problems and deliver with minimal guidance, bringing data to debates and owning outcomes end-to-end

Salary

Carta’s compensation package includes a market competitive salary, equity for all full time roles, exceptional benefits, and, for applicable roles, commissions plans. Our minimum cash compensation (salary + commission if applicable) range for this role is: 

• $212,500 - $250,000 in Santa Clara, CA; San Francisco, CA; New York, NY

Final offers may vary from the amount listed based on geography, candidate experience and expertise, and other factors.

ABOUT ROCKET MONEY 🔮

Rocket Money’s mission is to meaningfully improve the financial prosperity of millions of people. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.

ABOUT THE TEAM 🤝

Data Platform Engineers at Rocket Money further our mission by building and maintaining the infrastructure that enables our company to understand our users and products through reliable, scalable data systems. We build the foundational platform that ingests, processes, and serves data—enabling our Data Analytics, Machine Learning, and Software Engineering teams to build data products efficiently. We work closely with engineering teams to ensure data is captured correctly at the source, design resilient pipelines, and create self-service capabilities that empower stakeholders.

The Data Platform team is in an exciting phase of growth and formalization. While we have established tools and processes in place (dbt, BigQuery, Terraform), we're actively building the comprehensive standards, practices, and systems that will scale with Rocket Money as it grows. We're looking for engineers who can take ownership and evolve workflows into reliable, well-documented, production-grade systems. This is an opportunity to shape architectural decisions, establish team practices, and define how Rocket Money works with data for years to come.

We have a strong preference for process-oriented systems thinkers who excel in balancing stakeholder requirements, technical debt, and organizational complexity—and who thrive in environments where they need to create structure from ambiguity. You'll need to be comfortable making principled decisions, taking ownership not just of code but of outcomes, and operating with significant autonomy as we build the platform together.

ABOUT THE ROLE 🤹

In this role, you will:

• Be an end-to-end owner of our data platform infrastructure, ensuring its security, usability, and performance. Work closely with analytics engineers, machine learning engineers, and software engineers to ensure the platform meets their needs.
• Make collaborative decisions about data tooling, pipeline design, and governance, and implement opinionated interfaces that facilitate easy and best-practice-aligned development for other teammates.
• Continuously improve failure rates for data sources by moving alerting “to the left”; i.e. catching and quarantining bugs/failures as close to the source as possible.
• Analyze patterns in how source data is generated, modeled, and consumed. Work with stakeholders to implement the best solution when new data sources are added.
• Take ownership of existing tools and workflows that may be functional but lack formal structure, documentation, or reliability measures. You'll assess what's working, identify gaps, and systematically improve systems to production-grade quality.
• Document everything you build knowing that you're creating the foundation others will build upon. Your runbooks, architecture decision records, and system documentation will become the institutional knowledge of our data platform.
• Proactively communicate with multiple stakeholders on platform capabilities, technical constraints, architectural decisions, project priorities, and platform support.
• Confidently juggle multiple projects and priorities in our fast-paced environment and work with stakeholders and platform teammates to ensure infrastructure changes, migrations, and improvements are delivered on schedule.
• Automate aggressively and deliberately; anything from GitHub Actions to Slack Workflows to minimize repetitive tasks. Effectively judge when the level of effort is appropriate and avoid over-engineering.

ABOUT YOU 🦄

• You have 6+ years of experience working with data infrastructure, data engineering, or platform engineering within a fast-paced environment. You are highly proficient with SQL, Python, and cloud-based Infrastructure-as-Code (e.g. Terraform), and comfortable working with bash/shell scripting.
• You have 4+ years of production experience with modern data stacks including data warehouses (BigQuery, Snowflake, or Redshift), orchestration tools, managed ingestion services, and infrastructure as code (Terraform, Pulumi, or CloudFormation).
• You have 2+ years of experience building and maintaining production data pipelines, whether through ELT tools, custom applications, streaming systems, or event-driven architectures.
• You've successfully "professionalized" data infrastructure before—taking scrappy, working systems and evolving them into reliable, well-documented, production-grade platforms. You can articulate what "production-ready" means in a data context.
• You have a bias toward action and aren't paralyzed by imperfect solutions. You understand when "good enough for now with a plan to improve" beats "perfect but six months late." You ship incrementally and iterate based on feedback.
• You're comfortable being the first person to tackle a problem. You don't need extensive mentorship or detailed tickets—you can take a high-level business need and figure out the technical approach. That said, you know when to ask for help and can articulate what you need.
• You take ownership seriously—not just of writing code, but of outcomes. When you build something, you implement monitoring, write runbooks, create alerts, and ensure it can be maintained by others. You think about the full lifecycle of systems, not just initial delivery.
• You have strong opinions, weakly held. You can make and defend architectural decisions, but you're open to feedback and willing to change course when presented with better information. You can disagree and commit.
• You understand that "building from scratch" doesn't mean rejecting existing tools—it means thoughtfully selecting, configuring, and integrating managed services and open-source solutions to create a cohesive platform. You know when to build and when to buy.
• You have experience making big changes to critical data infrastructure. You’ve successfully re-architected, migrated, or upgraded data tooling that has strict SLA’s, without significantly affecting downstream stakeholders.

Bonus points if:

• You have led a data infrastructure migration or modernization project where you defined the vision, approach, and implementation.
• You have created internal tools, frameworks, or CLIs that improved how teams work with data (not just one-off scripts).
• You have established data platform best practices like CI/CD workflows, testing frameworks, or observability standards where none existed.
• Expertise in cloud platforms and technologies analogous to our stack:
  • Our stack: GCP (BigQuery, Datastream, Cloud Functions, Vertex AI, GCS), dbt, Fivetran, Postgres, Python, Terraform, Looker, Retool
  • Analogous experience: AWS (Redshift, DMS, Lambda, SageMaker, S3) or Azure (Synapse, Data Factory, Functions), Snowflake, Airbyte/Stitch, infrastructure as code tools, BI platforms

WE OFFER 💫

• Health, Dental & Vision Plans
• Life Insurance
• Long/Short Term Disability
• Competitive Pay
• 401k Matching
• Team Member Stock Purchasing Program (TMSPP)
• Learning & Development Opportunities
• Tuition Reimbursement
• Unlimited PTO
• Daily Lunch, Snacks & Coffee (in-office only)
• Commuter benefits (in-office only)

Additional information: Salary range of $160,000 - $200,000 + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.

Rocket Money, Inc. is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Java Developer 

We’re looking for a Java Developer to design, build, and scale backend services that power our products and internal platforms. You’ll work closely with product, design, and data to ship reliable features, improve performance, and raise our engineering bar.

About the role

• Build and operate backend services and REST APIs in Java (preferably Java 17+) using Spring Boot.

• Contribute across the lifecycle: discovery, technical design, implementation, testing, deployment, and support.

• Improve reliability, security, and observability as part of how we build — not as an afterthought.

What you’ll do

• Design, implement, and maintain microservices and REST APIs with Spring Boot.

• Write clean, maintainable, and well-tested code (JUnit 5, Mockito), and review peers’ code for quality and clarity.

• Model data and optimize queries in SQL (PostgreSQL/MySQL); leverage caching (e.g., Redis) for performance.

• Build event-driven features using messaging (e.g., Kafka or RabbitMQ) where it fits the problem.

• Instrument services with logs, metrics, and traces (OpenTelemetry/Prometheus/Grafana) and resolve production issues with data.

• Apply secure-by-default practices (OAuth2/OIDC, secrets management, OWASP Top 10 mitigations).

• Automate builds and releases via CI/CD (GitHub Actions/Jenkins/CircleCI); containerize with Docker and deploy to Kubernetes.

• Partner with product and design to refine requirements and break down work into iterative deliveries.

• Author and review concise technical design docs; participate in architecture discussions.

• Take ownership of services in production, including participating in on-call rotations where applicable.

What you’ll bring

• Proficiency in Java and the Spring ecosystem (Spring Boot, Spring Data, Spring Security).

• Hands-on experience building and operating microservices and REST APIs in production.

• Strong grasp of relational data modeling and SQL; familiarity with performance tuning.

• Working knowledge of cloud platforms (AWS/GCP/Azure) and basic infrastructure concepts.

• Confidence with Git workflows, code reviews, and trunk- or GitFlow-based development.

• Solid testing practices: unit, integration, and contract testing; comfort with test automation.

• Clear communication, collaborative approach, and a practical mindset focused on outcomes.

Nice to have

• Event-driven architecture with Kafka; stream processing patterns.

• Domain-driven design (DDD) and pragmatic service boundaries.

• Deeper observability (SLOs, RED/Golden signals, alert design) and production readiness checklists.

• Security fundamentals: OAuth2, JWT, mTLS, and dependency vulnerability management.

• Kubernetes operations, Helm, and infrastructure-as-code (e.g., Terraform).

• Experience with feature flags, gradual rollouts, and experimentation.

• Exposure to GraphQL or gRPC; basic scripting in Python/Go for tooling.

How we work

• Lightweight Agile with two-week sprints, async-friendly communication, and written decision records (RFCs).

• Ship iteratively behind feature flags; measure impact and learn quickly.

• Remote-friendly collaboration with clear ownership and frequent demos.

What success looks like (30/60/90)

• 30 days: Local dev environment set up. Shipped a small change. Contributed to code reviews and on-call shadowing.

• 60 days: Delivered an end-to-end feature. Improved tests and observability for a service you touch.

• 90 days: Led a scoped design/RFC. Reduced toil or improved performance/reliability on a critical path.

Qualifications

• Typically 3+ years of professional experience (or equivalent proficiency) building backend services with Java and Spring Boot.

• Demonstrated experience owning services in production.

Location and work arrangement

• Open to [Remote/Hybrid/Onsite]. Working hours aligned to [Time Zone/Region]. Some team ceremonies may fall within core hours.

Compensation and benefits

• Base salary range: Senior Level / $120-$150k.

• Equity/bonus: [If applicable].

• Benefits: [Healthcare, retirement, paid time off, parental leave, learning budget, home office stipend, etc.].

Interview process

• Recruiter screen (role fit, logistics).

• Hiring manager conversation (experience, collaboration, delivery).

• Technical deep dive (Java/Spring, APIs, data modeling).

• Systems design interview (architecture, trade-offs, scalability).

• Team panel and values interview.

• Offer and references.

Equal opportunity

We’re an equal opportunity employer. We welcome applicants from all backgrounds and do not discriminate on the basis of any protected characteristic. If you need a reasonable accommodation during the application or interview process, please let us know.

About the Role

We are building an AI-native platform where agentic systems, real-time services, and distributed infrastructure converge to power intelligent financial products. We are looking for a Senior Platform Engineer who is deeply technical, AI-first by mindset, and excited to build foundational systems through code.

This is a senior individual contributor role for someone who:

• Thinks in distributed systems
• Codes extensively and confidently
• Understands AI-native architectures
• Builds durable, scalable platforms
• Use AI tools (Cursor, MCP, Claude, etc.) to write, review and ship code- not as an experiment, but as default practice
• Raises the engineering bar for everyone around them

You will write production-grade code daily and own critical components of our core platform

What You’ll Do

Build AI-First Platform Systems

• Design and implement core platforms that power multi-agent orchestration, real-time decisioning, and AI workflows.
• Build structured control layers around LLM integrations to ensure reliability and low latency.
• Develop abstractions that allow AI systems to operate safely and predictably at scale.
• Contribute to evaluation, monitoring, and guardrail systems for AI development lifecycle and agentic architectures.

Engineer High-Performance Distributed Systems

• Design and build low-latency infrastructure platforms
• Optimize resource utilization and costs
• Enable streaming and event-driven platforms to be hosted
• Build fault tolerance, resiliency, and failovers.
• Enable reducing tail latency and eliminate performance bottlenecks.

Code with Ownership

• Write production-quality code in Python and at least one systems/backend language (Node.js or Go preferred).
• Use AI as an active part of how you write, review, refactor, and debug — not a shortcut, but a force multiplier on your engineering judgment.
• Review code with rigor and raise engineering standards.
• Refactor and simplify, and build abstractions over complex infrastructure systems for maintainability.

Strengthen Platform Foundations

• Build reusable service frameworks and platform abstractions.
• Improve observability, logging, metrics, and tracing.
• Harden authentication, authorization, and secure service-to-service communication.
• Drive architectural improvements through RFCs and technical proposals.

Collaborate Across AI & Product Teams

• Work closely with engineers and product teams.
• Translate product needs into scalable platform capabilities.
• Build a security first mindset and frameworks to enable secure SDLC
• Support compliance, security, and governance requirements.

What You’ll Bring

Required

• 7+ years of backend or distributed systems engineering experience.
• Strong proficiency in Python and at least one backend language (Node.js or Go).
• Proven experience with observability and tracing systems (OpenTelemetry, Prometheus, Grafana). 
• Hands-on experience with IaC tools — Terraform, Pulumi, or AWS CDK — architecting infrastructure that is scalable, repeatable, and version-controlled. 
• Experience with CI/CD pipeline design (Jenkins, GitHub Actions, ArgoCD, GitOps workflows).
• Hands-on experience with Kubernetes, Helm, Terraform, and declarative infrastructure management.
• Deep understanding of distributed systems, concurrency, and performance optimization.
• Experience building high-availability, production-scale systems.
• Hands-on experience designing APIs and microservices.
• Strong debugging skills across complex distributed environments.
• Experience deploying systems in cloud-native environments. 
• AI- native workflow: Build with AI daily: creating agents, automating analyses, prototyping with code, building custom workflows. The specific tools don't matter (Cursor, Copilot, Claude, Replit, custom scripts — all count); what matters is that you've moved beyond prompting into building.

Strongly Preferred

• Experience working with LLMs or AI-driven systems in production.
• Familiarity with agentic architectures or multi-agent orchestration.
• Experience with streaming systems and event-driven architectures.
• Experience building systems under strict latency constraints.
• Experience in fintech or regulated environments

Bonus Points

• Experience with platform product thinking—prioritizing developer empathy and user feedback.
• Previous work in platform engineering or internal developer portals.

Why Join Us

• Build core platform systems that power one of the fastest-growing AI companies in fintech.
• Shape developer experience, infrastructure standards, and reliability practices for an AI-first ecosystem.
• Work in a high-trust, fast-growth environment where innovation meets real-world impact.
• This role directly impacts:
  • Multi-agent orchestration
  • Low-latency real-time systems
  • Reliability of customer-facing AI
  • System scalability under growth
  • Compliance and security guarantee

Compensation

•  Base Salary Range is expected to be between $170,000 - $210,000, plus performance bonus and equity options. Exact compensation may vary based on skills and location.

We value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our Palo Alto or San Francisco office hub and this is an -site role.

How We Work

Every Engineer builds with AI daily. Our standard toolkit is Cursor, MCP integrations,  Claude, and custom AI agents — and we onboard every new hire on these tools in their first week. We hold a high quality bar and move at startup speed. Flat organization. No empire-building.

Our Values

• Act Like You're the Founder: Own the outcome from start to finish
• No Fear. Speak Your Mind: Candor moves us forward
• Pursuit of Excellence: Raise the bar, every time
• AI-First Mindset: Think automation, intelligence, and scale-first in every solution
• Don't Assume. Seek to Understand: Start with questions, not conclusions

What We Offer

• 💡 100% paid health, dental & vision care
• 💰 401(k) match & financial wellness perks
• 🌴 Discretionary PTO + paid parental leave
• 🧠 Mental health, wellness & family benefits
• 🚀 A mission-driven team shaping the future of banking

Senior Product Engineer 

Engineering

 Prolific

Prolific is not just another player in the AI space – we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditized, it's the quality and diversity of human-generated data that truly differentiates products and models.

The role

We’re looking for impact-focused Software Generalists to join our specialized team focused on serving frontier model creators and enterprise AI application developers. As a full-stack engineer, you will work across Prolific’s domains to solve customer and product problems.

This is an exciting opportunity to work directly with frontier AI companies, making critical technical decisions that balance scrappy startup execution with scalable, reliable engineering, as Prolific revolutionizes research for the AI community. You'll will have regular in person collaboration with customers and our US team, as well as collaborate closely with our UK-based tech teams.

This role is hybrid based out of our San Francisco office, approx 1-2 days a week.

What you’ll bring to the role

• Over 4 years of experience in a product engineering role
• Can translate business concepts into software models
• Ability to quickly learn and adapt across the breadth of Prolific’s domains
• Familiar working in both monoliths and distributed systems
• Strong communication and collaboration skills for direct customer interaction
• Good understanding of modern web applications and architecture design patterns
• Experience supporting applications in production environments
• Judgment to balance scrappy startup execution with scalable, reliable engineering
• Comfort with rapid iteration and responding to customer queries with urgency
• Experience with some of our technology stack:
  • Python (we use Django & Fast API)
  • TypeScript and JavaScript (we use Vue.js)
  • SQL and NoSQL databases (we use MongoDB and PostgresSQL)
  • Building and deploying to the cloud (we use GCP, Kubernetees, Github Actions & CircleCI)
  • Instrumenting, monitoring & observability (we use Datadog)

What you’ll be doing in the role 

This is a unique engineering role at Prolific.

In this role, you will operate with high ownership and a product mindset, at start-up pace, to solve customer problems and capture business opportunities irrespective of the technology required to do so.

You will be part of a cross-functional Product Engineering team, optimised for the success of a single customer group. You will collaborate directly with account managers, customer success specialists and customers to deeply understand their problem spaces. You will ideate and build with autonomy, supported by a high-performing team.

This role will see you work across Prolific domains to solve customer problems, needing you to get up to speed quickly and deliver across shared codebases to a high engineering standard. You will also help support our systems in production & respond to incidents when required.

Key Technologies 

• Cloud Platforms: Google Cloud Platform and AWS
• Programming Languages: Python, JavaScript, and TypeScript
• Frameworks: Vue.js, Django Rest Framework, Container-based and Serverless architectures
• Databases: MongoDB and DynamoDB
• DevOps and Monitoring: CircleCI, GitHub Actions, Kubernetes, Celery, EventBridge and DataDog

Why Prolific is a great place to work

We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioral data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviors into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breath and the best of humanity.

Join us to enjoy a competitive salary, benefits, and remote working within our impactful, mission-driven culture. At Prolific, our compensation packages for eligible roles include base salary, equity, and benefits. Many roles also include the opportunity to earn a cash variable element, such as a bonus or commission. Each job posting shows a salary range that reflects the minimum and maximum target for new hires, based on the role’s location as well as your skills, experience, and relevant education or training. You can check the job posting’s subtitle to see where the position is based. Your recruiter will also be happy to share the specific salary range for your preferred location during the hiring process.

For pay transparency, the base salary range for this full-time role in San Francisco is $200,000 - $250,000 per annum.

Links to more information on Prolific

Benefits 

External Handbook 

Website 

Youtube 

Privacy Statement

By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal information.

Team

We're scaling from 50 to 120+ engineers over the next year. That kind of growth breaks things: builds slow down, onboarding stalls, deployments get fragile. The Developer Experience team prevents that.

We treat our internal developers as customers, measure their pain points, and ship tools that make the entire engineering organization faster. This is a small, high-leverage team of 2-3 engineers with outsized impact on how Peregrine builds software.

Role

As Tech Lead Manager for Developer Experience, you'll lead the team responsible for engineering tooling, velocity, observability, and monitoring. Your team's work compounds: every improvement multiplies across 100+ engineers.

This is hands-on leadership. You'll set technical direction, build and grow a small team of senior engineers, and partner across engineering to solve the highest-impact developer productivity problems. You'll define how we measure engineering effectiveness and use that data to drive investment decisions.

You will:

• Own the DevEx roadmap. Define strategy for CI/CD, observability, and developer productivity. Prioritize ruthlessly based on data and feedback.
• Lead and grow a high-performing team. Manage 2-3 engineers, provide mentorship, career development, and clear direction. Hire well and raise the bar.
• Establish engineering effectiveness measurement. Instrument workflows and stand up metrics (e.g., build times, deployment frequency, developer satisfaction, onboarding velocity).
• Drive CI/CD and deployment reliability. Keep build, test, and deploy pipelines fast and reliable as we scale.
• Build observability and monitoring foundations. Partner with platform engineering to ensure systems are instrumented and alerts are actionable.
• Stay hands-on technically. Architect solutions, review code, and make infrastructure decisions alongside your team.

Our stack is constantly evolving but based on a backend foundation of Python, Django, Celery, Airflow, and Kafka; a frontend built in React, Redux, and Mapbox; data stores including PostgreSQL and Elasticsearch; machine learning models hosted in Bedrock and Sagemaker; and with AWS, Pulumi, Terraform, and Kubernetes as our underlying infrastructure.

What We Look For

• 6+ years software engineering experience with meaningful time in developer tooling, platform engineering, DevOps, or infrastructure
• 2+ years engineering management experience including hiring, performance management, and team development
• Demonstrated experience building or leading developer experience, developer productivity, or internal platform teams
• Hands-on experience with CI/CD systems (e.g., GitHub Actions, Jenkins, ArgoCD), observability platforms (e.g., Datadog, Prometheus, Grafana), and Infrastructure as Code (e.g., Terraform, Pulumi)
• Experience with containerized systems and Kubernetes in production
• Strong Python skills and cloud infrastructure experience (AWS preferred)
• Track record using data to identify developer pain points and measure tooling impact
• Located in the San Francisco area and open to 4 days a week in office

Bonus

• Scaled engineering tooling through rapid headcount growth (e.g., 50 to 200+ engineers)
• Built engineering effectiveness programs from scratch (e.g., DORA metrics, developer surveys, workflow instrumentation)
• Evaluated and rolled out AI-assisted development tools (e.g., Copilot, Claude Code, Cursor) organizationally
• Built developer portals, self-service platforms, or golden path workflows
• Experience in regulated environments (e.g., FedRAMP, SOC 2, CJIS)

Salary Range: $220,000 - $275,000 Annually + Benefits + Equity (if applicable) + Bonus (if applicable)

Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, certifications or licenses, and specific work location. Information on the benefits offered is here.

We’re hiring a Tech Lead Manager of the Admin Console team to lead one of the most important product surfaces at Glean: the admin experience that helps customers deploy, govern, and scale Glean across their organizations. This is a high-impact, full-stack leadership role for an engineering leader who can guide architecture, partner deeply with product and design, and grow a small but strategically important team. The Admin Console is the control plane for enterprise activation, admin confidence, and scalable rollout. Admins use it to configure authentication, data sources, permissions, governance, search settings, AI features, and deployment health from a self-serve central hub. As Glean evolves from a search company into an AI platform, this team’s mission is evolving too: from managing data sources to helping admins manage the broader context layer of the system, including actions, live data, governance, and AI configuration.

You will:

• Lead and grow the Admin Console engineering team, providing both people leadership and strong technical direction.
• Own architecture and execution for core admin-facing workflows including data source setup, security configuration, deployment management, and feature rollout controls.
• Partner closely with Product and Design to simplify complex enterprise workflows and make the admin experience more intuitive and scalable.
• Help evolve the Admin Console from a system centered on crawlers and data setup into a broader control plane for enterprise context, actions, governance, and AI capability management.
• Improve self-serve activation so admins can get their organizations up and running faster, with less dependency on human support.
• Improve visibility into crawl health, connector status, indexing progress, permissions, and rollout readiness so admins can confidently understand what is happening in their deployment.
• Build systems and workflows that help admins safely scale Glean across users, teams, and capabilities over time through a coherent interface.
• Collaborate deeply with backend, connector, infra, and security teams to deliver unified admin experiences that sit on top of platform and infrastructure layers.

About you:

• 8+ years of software engineering experience building production distributed systems or cloud‑native applications. 
• 1+ years of engineering management experience of a full stack team
• BS/BA in Computer Science or related field, or equivalent practical experience.
• Strong coding skills in at least one of: Python, Go, Java, C++, Javascript.
• Product‑minded: you prioritize customer impact, clear SLAs/SLOs, and pragmatic iteration.
• Ownership‑driven with a positive, proactive attitude; comfortable leading projects or learning from battle‑tested engineers.
• You have experience building enterprise SaaS, enterprise platform, admin console, or similarly configurable product experiences.
• Experience working on products where usability, governance, permissions, and technical complexity all matter.
• Experience mentoring engineers with different technical strengths, including frontend and backend team members.
• Ability to operate in ambiguity and shape roadmap, architecture, and team execution in a fast-moving environment.
• Strong cross-functional collaboration skills and comfort partnering with product, design, security, and platform teams.

Location: 

• This role is hybrid (4 days a week in our Mountain View or San Francisco office)

Compensation & Benefits:

The standard base salary range for this position is $250,000 - $300,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.

We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused.

We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

#LI-HYBRID

GAQ127R41

Location: San Francisco, CA (Hybrid)

Team: IT Infrastructure and Operations

About the Role

At Databricks Information Technology, we are a product-led organization transforming the way we work, from how easy it is to use our IT services to the applications we develop that help us scale seamlessly in the face of incredible growth.

As a Senior Software Engineer (Infrastructure), you will be a core technical contributor on the IT Infrastructure team, owning and driving the evolution of our core infrastructure and observability platforms. This role requires a strong software engineering mindset, deep technical breadth across SRE and infrastructure worlds, and the ability to deliver high-quality, scalable solutions for currently "immature" system problems. You will be responsible for building resilient, scalable, and automated infrastructure that empowers our development teams. As a senior member of the team, you will bridge the gap between software engineering and systems architecture, ensuring our AWS environment is cost-optimized, secure, and highly available.

The Impact You Will Have

• Architect and Automate: Design and deploy production-grade infrastructure on AWS using Terraform or Pulumi.
• Orchestration: Manage and scale containerized workloads using AKS (Azure Kubernetes Service) or EKS, focusing on cluster security and resource efficiency.
• CI/CD Excellence: Architect robust deployment pipelines using GitHub Actions, managing both GitHub-hosted and self-hosted runners for specialized build requirements.
• Drive "Observable by Default" Frameworks: Create underlying infrastructure to ensure new internal applications are secure and have logging and metrics enabled by default
• Tooling, Scripting & AI : Build internal CLI tools,AI plugins and automation scripts to streamline developer workflows and enhance operational efficiency 
• Partner Cross-Functionally: Collaborate with stakeholders across Security, Engineering, Infrastructure, and Support to deliver impactful projects with real business outcomes.
• Mentor and Document: Participate in Code reviews, Document solutions and failure triage playbooks, and mentor junior engineers on the platforms you own.

What We Look For

• Software Engineering Expertise: 5+ years of production-level experience with a strong proficiency in Python (non-negotiable).
• IaC: Expert-level proficiency in Terraform (modules, state management) or Pulumi(Preferred).
• Cloud & Infrastructure Breadth: Hands-on experience with AWS (or Azure/GCP), Kubernetes, Docker and containerization concepts.
• Automation & Integration Mindset: Experience building and troubleshooting integrations between infrastructure, data pipelines, and observability platforms.
• CI/CD: Advanced knowledge of Github Actions, Github Runners.
• Strong Observability Mindset: Understanding of observability pillars (logging, metrics, tracing) and hands-on experience with tools like Datadog, Prometheus, or ELK.
• Distributed Systems: Proficiency in running systems through concepts like Kafka or messaging queues.
• Independent Execution: Ability to operate with minimal guidance, take ownership of ambiguous projects, and follow a vision set by tech leads to execute independently.